ORGANIZATION

TECHNICAL FIELD The present disclosure relates generally to determining solutions for problems; and more specifically, to systems for determining solutions for problems in organizations. Moreover, the present disclosure also relates to methods for determining solutions for problems in organizations.

BACKGROUND Organizations are typically established based on a principle of achieving specific goals. There are several problems that an organization comes across while trying to achieve respective goals. Examples of such problems may include reduced production rate, reduced sales, increased production cost and the like. Therefore, solutions to such problems should be found and implemented in an efficient manner to enable ease in achieving the goals of the organization.

Conventionally, an organization employs a consultant, having relevant experience in dealing with organizational problems, to find the expected solutions. Alternatively, external consultant(s) may be employed part- time by an organization for finding the expected solutions. The consultant may refer to an individual or a company who provides assistance to overcome the organizational problems. However, there are several limitations associated with employing consultants. Generally, techniques employed by the consultants are conventional and often outdated which may not efficiently overcome the problems faced in the organization. Moreover, the techniques are not dynamic and adaptive according to problems in different business segments and scenarios. Generally, the techniques are independent of the actual scenarios such as a revenue of the organization, number of employees, stock price of the organization and the like. As a result, certain solutions provided by the consultant may not be appropriate and thereby may not be favourable for the organization. Engagement of an external consultant may result in development of a feel of being under-utilized and not being considered capable enough to solve problems of the organization among the employees of the organization. Consequently, this could lead to distrust and retaliation among the employees of the organization.

Furthermore, the conventional approaches focus on process, cost, technical issues, without recognizing, addressing or incorporating human actions and interactions such as attitude and behavior of employees of the organization as one of the key deciding factors in solving a problem. Herein, one of the major problems being that several ideas and/or solutions that may originate at a lower hierarchy in the organization may never reach the concerned departments to be acted upon, leading to a decline in a degree of generation of innovative ideas for the problem and a sense of reduced or underused potential in the employees of the organization. Furthermore, the conventional approaches are based on a limited analysis for problems in organization, given a limited period of time to provide a solution. Moreover, the conventional approaches have a limitation to instant problem analysis and exclusively immediate implementation of solutions, i.e. the conventional approaches do not employ measures to ensure quality implementation of solutions in the organization. Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks associated with identifying the problems and implementing corresponding solutions to overcome the problems. SUMMARY

The present disclosure seeks to provide a system for determining a solution for a problem in an organization. The present disclosure also seeks to provide a method for determining a solution for a problem in an organization. The present disclosure seeks to provide a solution to the existing problem of involving external consultants who solve organizational problems using conventional and non-adaptive techniques. An aim of the present disclosure is to provide a solution that overcomes at least partially the problems encountered in prior art, and provides a dynamic and adaptive technique involving full-time employees or part-time employees to solve organizational problems.

In one aspect, an embodiment of the present disclosure provides a system for determining a solution for a problem in an organization, the system comprising a server arrangement coupled in communication with a database arrangement, wherein the server arrangement is configured to:

- receive a problem statement pertaining to the problem in the organization;

- generate a semantic representation of the problem statement; - receive one or more proposed solutions for the problem statement from a set of employees of the organization;

- generate semantic representation for each of the one or more proposed solutions;

- identify semantic relations between the semantic representations of the problem statement and each of the one or more proposed solutions;

- validate each of the one or more proposed solutions if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established; - access, from the database arrangement, knowledge-based information related to each of the validated one or more proposed solutions; and

- analyze each of the one or more validated solutions based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement.

In another aspect, an embodiment of the present disclosure provides a method for determining a solution for a problem in an organization, the method comprising:

- receiving a problem statement pertaining to the problem in the organization;

- generating a semantic representation of the problem statement;

- receiving one or more proposed solutions for the problem statement from a set of employees of the organization;

- generating semantic representation for each of the one or more proposed solutions;

- identifying semantic relations between the semantic representations of the problem statement and each of the one or more proposed solutions;

- validating each of the one or more proposed solutions if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established;

- accessing knowledge-based information related to each of the validated one or more proposed solutions; and

- analyzing each of the one or more validated solutions based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement.

Embodiments of the present disclosure substantially eliminate or at least partially address the aforementioned problems in the prior art, and enables solving of organizational problems using dynamic and adaptive technique involving full-time employees. Moreover, the present disclosure uses a closed-loop approach to solve organizational problems wherein feedbacks from employee are taken for every recommended solution for a given organizational problem.

Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments construed in conjunction with the appended claims that follow.

It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those skilled in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.

Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

FIG. 1 is a block diagram of a system for determining a solution for a problem in an organization, in accordance with an embodiment of the present disclosure;

FIG. 2 is an illustration of a flow chart for classifying a solution model, in accordance with an embodiment of the present disclosure; FIG. 3 is an illustration of steps of a method for determining a solution for a problem in a virtual organization, in accordance with an embodiment of the present disclosure;

FIGs. 4A-C illustrate exemplary user interfaces rendered on a user device employed by the system of FIG. 1, in accordance with an embodiment of the present disclosure;

FIG. 5 is an illustration of a schematic diagram representing phases of determining solution for a problem, in accordance with an embodiment of the present disclosure; FIG. 6 is an illustration of a process flowchart depicting steps for determining solution for a given problem in an organization, in accordance with an embodiment of the present disclosure; and

FIG. 7 is an illustration of steps of a method for determining a solution for a problem in an organization, in accordance with an embodiment of the present disclosure.

In the accompanying drawings, an underlined number is employed to represent an item over which the underlined number is positioned or an item to which the underlined number is adjacent. A non-underlined number relates to an item identified by a line linking the non-underlined number to the item. When a number is non-underlined and accompanied by an associated arrow, the non-underlined number is used to identify a general item at which the arrow is pointing.

DETAILED DESCRIPTION OF EMBODIMENTS The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognize that other embodiments for carrying out or practicing the present disclosure are also possible.

In one aspect, an embodiment of the present disclosure provides a system for determining a solution for a problem in an organization, the system comprising a server arrangement coupled in communication with a database arrangement, wherein the server arrangement is configured to:

- receive a problem statement pertaining to the problem in the organization;

- generate a semantic representation of the problem statement;

- receive one or more proposed solutions for the problem statement from a set of employees of the organization;

- generate semantic representation for each of the one or more proposed solutions;

- identify semantic relations between the semantic representations of the problem statement and each of the one or more proposed solutions;

- validate each of the one or more proposed solutions if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established;

- access, from the database arrangement, knowledge-based information related to each of the validated one or more proposed solutions; and

- analyze each of the one or more validated solutions based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement.

In another aspect, an embodiment of the present disclosure provides a method for determining a solution for a problem in an organization, the method comprising:

- receiving a problem statement pertaining to the problem in the organization; - generating a semantic representation of the problem statement;

- receiving one or more proposed solutions for the problem statement from a set of employees of the organization;

- generating semantic representation for each of the one or more proposed solutions;

- identifying semantic relations between the semantic representations of the problem statement and each of the one or more proposed solutions;

- validating each of the one or more proposed solutions if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established;

- accessing, from the database arrangement, knowledge-based information related to each of the validated one or more proposed solutions; and - analyzing each of the one or more validated solutions based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement.

The present disclosure provides the aforementioned system and method for determining a solution for a problem in an organization. The aforementioned system provides a structured process and tool for generating a solution model for solving a problem in the organization. The present system adapts to dynamic nature of customer needs and changing business segments and scenarios in order to generate a customized and adaptive solution model for solving a problem in the organization. The present system provides a quantified and holistic guided process that harnesses the potential of employees of the organization to efficiently determine a solution for a given problem in the organization. The present system is repeatable, verifiable, comprehensible, efficient and evaluable, in contrast to the existing problem-solving tools and processes in the organizations. The present system solves a problem in the organization by integrating human interactions as key deciding factors with the present system, and discarding external factors that usually govern such practices in the organization. Therefore, the problems that today are usually solved by different tools, people or techniques that bring about limitations and inefficiency in the implementation of new ideas and techniques can be efficiently solved using the present system. Notably, the present system can be operated semi-autonomously or fully autonomously for determining a solution for a problem in the organization.

The present system assists and guides to provide an in-depth analysis of the root causes of a given problem in the organization. The present system performs a review of organizational structure, and develops an act-learn-evolve (ALE) [ Machen-Lernen-Entwickeln (MLE)] system inculcating voluntary participation of individuals, capacities for implementation, and a transfer of corporate responsibility to individuals as a group. The present system aims at developing the act-learn-evolve (ALE) system, to determine a solution, that incorporates contribution, via experience, insight and result (EIR) [ Erlebnis , Erkenntnis, Ergebnis (EEE)]. At the same time, the present system harnesses the inner potential of each individual in the organization to determine solution of problems in the organization. In particular, the present system aims at developing the potential of each individual at an individual level by recognizing the potential of every individual in the organization, thereby generating a framework for trust through sharing personal experience, insight and result (EIR).

The present disclosure aims to develop an agile problem-solving method for a particular problem in the organization. This approach helps in finding the best solution, or a combination of one or more best solutions from a number of received solutions for a particular problem in the organization. Such an approach ensures that the chosen solution is highly appropriate, and at the same time helps in developing qualities such as openness, courage, articulation, resilience, dialogue, story-telling, tolerance of faults, structured thinking and action, assumption of collective responsibility and, agile work organization among contributors.

The present system adapts to a world of business that is constantly subjected to numerous problems and hurdles, that are to be solved innovatively in a short period of time. The present system is capable of performing integration of ideas originating from different individuals across different levels in the organization to determine solutions for problems in the organization. In particular, the present system aims at finding the best solutions across hierarchies in the organization. The present system also includes processes to determine concrete steps that are to be followed to solve a particular problem and subsequently accomplish its business objectives. The present system helps in determining particular employees that are best suited and highly self motivated for solving a particular problem, which in turn helps in determining the solution for a given problem in an efficient, effective and less time-consuming manner.

Furthermore, the present system is a closed loop system that takes into account feedback from one or more individuals based on an implementation of a solution model in the organization. The present system aims to carry out prototyping or a functional test of the assumptions made and the ideas for a selected solution model and further receive feedback from the contributors on the ideas and contributions that have been developed in an accurate and time-efficient manner. The present system develops a structured implementation plan to achieve the goal quickly through more agile switching between testing and correction; create an implementable contribution, teach focus, product awareness, collective responsibility and adaptability in the contributors through the feedback process. Such an iterative approach enhances the quality of results and prevents a long adherence to ineffective patterns. Furthermore, the present system empowers the contributors to act as entrepreneurs and to make decisions by bypassing organizational boundaries thus building self-confidence that change is possible.

Throughout the present disclosure the term "organization" as used herein collectively refers to a business entity, a business organization, an enterprise, a company, etc. Further, organization may also include government agencies, religions organizations, schools, hospitals and the like. The organization may be a unit of human resources that is structured and managed to meet a need or to pursue collective goals. Typically, all organizations have a management structure that determines relationships between the different activities and the members, and subdivides and assigns roles, responsibilities, and authority to carry out different tasks hereinafter, the terms " organization " and " business " have been interchangeably used. It may also be appreciated that the " organization " may also, sometimes, be referred to as a "company" , a " firm ", an "enterprise" , an "establishment" , an " agency " or an " institution " without any limitations.

Throughout the present disclosure, the term " server arrangement" relates to an arrangement of at least one server configured to determine a solution for a problem in an organization. The term " server " generally refers to an application, program, process or device in a client-server relationship that responds to requests for information or services by another application, program, process or device (a client) on a communication network. The term " server " also encompasses software that makes the act of serving information or providing services possible. Moreover, the term "client" generally refers to an application, program, process or device in a client-server relationship that requests information or services from another application, program, process or device (the server) on the communication network. Importantly, the terms " client " and " server " are relative since an application may be a client to one application but a server to another application. The term " client " also encompasses software that makes the connection between a requesting application, program, process or device and a server possible, such as an FTP client. It will be appreciated that the communication network can be an individual network, or a collection of individual networks that are interconnected with each other to function as a single large network. The communication network may be wired, wireless, or a combination thereof. Examples of the individual networks include, but are not limited to, Local Area Networks (LANs), Wide Area Networks (WANs), Metropolitan Area Networks (MANs), Wireless LANs (WLANs), Wireless WANs (WWANs), Wireless MANs (WMANs), the Internet, radio networks, telecommunication networks, and Worldwide Interoperability for Microwave Access (WiMAX) networks.

Furthermore, throughout the present disclosure, the term " database arrangement" , sometimes simply referred to as "database", relates to an arrangement of at least one database that when employed, allows for the server arrangement is configured to determine a solution for a problem in an organization. The term "database arrangement" generally refers to hardware, software, firmware, or a combination of these for storing information in an organized (namely, structured) manner, thereby, allowing for easy storage, access (namely, retrieval), updating and analysis of such information. The term " database arrangement" also encompasses database servers that provide the aforesaid database services to the server arrangement. It will be appreciated that the data repository is implemented by way of the database arrangement.

For illustration there will now be considered an exemplary network environment, wherein the system that, when operated, determines a solution to a problem in the organization, is implemented pursuant to embodiments of the present disclosure. One such network environment has been illustrated in conjunction with FIG. 1 as explained in more detail later in the description. The exemplary network environment may include a plurality of electronic devices (hereinafter referred to as "user devices") associated with a plurality of users, the server arrangement including the at least one server, the database arrangement including at least one database, and the communication network. The server arrangement may be coupled in communication with the user devices via the communication network. In such a case, the user devices can be understood to be the " clients " for the server arrangement. It is to be noted here that it is not necessary for the server arrangement to be coupled in communication with all the user devices simultaneously at all times. Furthermore, the server arrangement is coupled in communication with the database arrangement (for example, via the communication network). Examples of the user devices include, but are not limited to, mobile phones, smart telephones, Mobile Internet Devices (MIDs), tablet computers, Ultra-Mobile Personal Computers (UMPCs), phablet computers, Personal Digital Assistants (PDAs), web pads, Personal Computers (PCs), handheld PCs, laptop computers, and desktop computers.

It will be appreciated that the aforementioned server arrangement can be implemented in several ways. In an example, the at least one server of the server arrangement could be directly coupled in communication with a given user device associated with a given user, via the communication network. In such an example, the at least one server is configured to determine a solution for a problem in an organization. In another example, the server arrangement could have a distributed architecture wherein the server arrangement could comprise a plurality of servers that are coupled in communication with a given user device associated with a given user, via the communication network. In such a case, there can be a first server (namely, a "front-end server ") that is directly coupled in communication with the given user device, and at least one server (namely, at least one "back-end server ") that is coupled in communication to the first server. In operation, the first server can be accessed by the given user using the given user device, via the communication network. Furthermore, in such a case, the at least one back-end server, either alone, or in combination with the front-end server could be configured to determine a solution for a problem in the organization. In yet another example, server arrangement could be implemented by way of a cloud server arrangement.

Herein, the server arrangement and the database arrangement form a computer system configured to determine a solution to a problem in an organization. The computer system may include a processor and a memory. The processor may be one or more known processing devices, such as microprocessors manufactured by Intel™ or AMD™ or licensed by ARM. Processor may constitute a single core or multiple core processors that executes parallel processes simultaneously. For example, processor may be a single core processor configured with virtual processing technologies. In certain embodiments, the processor may use logical processors to simultaneously execute and control multiple processes. Processor may implement virtual machine technologies, or other known technologies to provide the ability to execute, control, run, manipulate, and store multiple software processes, applications, programs, etc. In another embodiment, processor may include a multiple-core processor arrangement (e.g., dual, quad core, etc.) configured to provide parallel processing functionalities to allow computer system to execute multiple processes simultaneously. One of ordinary skill in the art would understand that other types of processor arrangements could be implemented that provide for the capabilities disclosed herein. Further, the memory may include a volatile or non volatile, magnetic, semiconductor, solid-state, tape, optical, removable, non-removable, or other type of storage device or tangible (i.e., non- transitory) computer-readable medium that stores one or more program(s), such as app(s). Program(s) may include operating systems (not shown) that perform known operating system functions when executed by one or more processors. By way of example, the operating systems may include Microsoft Windows™, Unix™, Linux™, Android™ and Apple™ operating systems, Personal Digital Assistant (PDA) type operating systems, such as Microsoft CE™, or other types of operating systems. Accordingly, disclosed embodiments may operate and function with computer systems running any type of operating system. The computer system may also include communication software that, when executed by a processor, provides communications with network and/or local network, such as Web browser software, tablet, or smart hand held device networking software, etc.

The present system can be deployed to third parties, for example an organization, as part of a service wherein a third party virtual private network (VPN) service is offered as a secure deployment vehicle or wherein a VPN is built on-demand as required for a specific deployment. A VPN is any combination of technologies that can be used to secure a connection through an otherwise unsecured or untrusted network. VPNs improve security and reduce operational costs. The VPN makes use of a public network, usually the Internet, to connect remote sites or users together. Instead of using a dedicated, real-world connection such as leased line, the VPN uses "virtual" connections routed through the Internet from the company's private network to the remote site. Access to the software via a VPN can be provided as a service by specifically constructing the VPN for purposes of delivery or execution of the process software (i.e., the software resides elsewhere) wherein the lifetime of the VPN is limited to a given period of time or a given number of deployments based on an amount paid. In other examples, the present solution as a service can also be deployed and integrated into the IT infrastructure of the organization. Throughout the present disclosure, the term " employee " used herein relates to an individual hired by an organization to do a specific job. Generally, the employee is hired by the organization after an application and interview process resulting in his or her selection as an employee. Each employee has defined roles and responsibilities and is expected to perform specific tasks in accordance with the defined roles and responsibilities. Each employee works within a functional area or department such as marketing or Human Resources. Herein, it may be appreciated that a number and type of functional area depends on the organization. The employee has a workstation or an office in which he or she accomplishes the tasks assigned. The organization supplies the employee with the tools and equipment necessary to perform work such as a computer, telephone, cell phone, laptop, desk, and supplies. The employee may work as a part-time employee, full-time employee, or a temporary employee, as agreed by both the employee and the organization. The employee barters his or her skills, knowledge, experience, and contribution towards the organization in exchange for compensation such as money or other incentives from the organization. It will be appreciated that the employees in the organization may provide solutions for a particular problem in the organization. It may be appreciated that the term " employee " may sometimes may also be referred to as "user" or "contributor" without any limitations.

Throughout the present disclosure the term "problem" used herein relates to short-term or long-term challenges and issues faced by the organization. The problems that may occur in the organization may prevent the organization from executing a pre-planned strategy that may subsequently restrict the organization in achieving certain goals. In other words, the term "problem" may also be referred to as a perceived gap between an existing state of the organization and a desired state of the organization. In one or more example, a problem can be defined as a deviation from a norm, standard, or status quo. Examples of problems in an organization include, but are not limited to, financial problems, production problems, managerial problems, sales problem, supply problem, demand problem, organizational culture problem, and employee productivity problem. Notably, the problem in the organization may be provided with one or more datasets, images, theories, trends and so forth.

The server arrangement is configured to receive a problem statement pertaining to the problem in the organization. Throughout the present disclosure the term "problem statement" as used herein relates to a detailed and structured and concise representation of the problem to be addressed in the organization. It will be appreciated that a well-defined problem statement is crucial to finding a solution for the problem. Notably, the main aim of the problem statement is to identify and explain the problem. This includes describing the existing environment, where the problem occurs, and what impacts it has on employees, finances, and ancillary activities. Additionally, the problem statement is used to explain what the expected environment looks like. Notably, defining the desired condition defines a clear purpose of what is desired in the solution and the goals that it is meant to accomplish. It will be appreciated that the problem statement is typically a high-level generalization of the problem. The problem statement can include identifiable metrics and measurement sources related to the problem such that a description is provided for the problem that outlines standards, process locations and/or occurrences of problematic events in a manner that the scope of the problem is described in process terms. In addition, it can include other attributes, current performance, and the problem relationship to consumers and customers.

Notably, the problem statement can be defined autonomously or semi- autonomously by the server arrangement. It will be appreciated that the problem statement may be received directly from one or more users in the organization, or the problem statement may be derived from a data provided by the organization. In an example, the problem is received in a well-structured natural language form, i.e. a defined problem statement, clearly stating the problem by one or more users of the organization. In another example, the problem may be received in the form of data pertaining to a particular problem in the organization. Further, the server arrangement is configured to define the problem statement from a given set of data. Optionally, the data may be received in one or more form of: excel sheets, documents, forms, flowcharts, pie charts, bar charts, histograms, images and the like. In this case, the server arrangement further comprises data processing units and image processing units to define the problem statement from the data pertaining to the problem. Notably, it advantageous to define a problem statement in a natural language form as it can be easily understood by the employees providing a solution to the problem.

Optionally, the server arrangement further comprises an interactive user interface associated with the user device. Throughout the present disclosure the term " interactive user interface " used herein relates to a space that allows for interaction between the employee and the system for providing a solution for a problem in the organization. Therefore, the term " interactive user interface " can also be referred to as a " human- machine interface ". The interactive user interface is generally rendered upon a display screen of the user device and allows for the automated or semi-automated system to receive input(s) from and/or provide output(s) to the employee. Herein, receiving input(s) and providing output(s) pertains to obtaining a problem statement, obtaining one or more solutions, rendering a solution model, obtaining a feedback and the like.

Optionally, the interactive user interface is a structured set of user interface elements rendered on a display screen. Optionally, the user interface (UI) rendered on the display screen is generated by any collection or set of instructions executable by an associated digital system. Additionally, the user interface (UI) is operable to interact with the user to convey graphical and/or textual information and receive input from the user. Specifically, the user interface (UI) used herein is a graphical user interface (GUI). Furthermore, the user interface (UI) elements refer to visual objects that have a size and position in user interface (UI). A user interface element may be visible, though there may be times when a user interface element is hidden. A user interface control is considered to be a user interface element. Text blocks, labels, text boxes, list boxes, lines, and images windows, dialog boxes, frames, panels, menus, buttons, icons, etc. are examples of user interface elements. In addition to size and position, a user interface element may have other properties, such as a margin, spacing, or the like.

Optionally, the server arrangement is configured to render the problem statement on the user device via the interactive user interface. As aforementioned, the server arrangement is configured to receive the problem statement from one or more employees in the organization. In particular, the one or more employees may be administrators or organizers in the organization that have the authority to create, modify or delete the problem statement. Notably, the problem statement is received from one or more user devices categorized as administrator user devices. It will be appreciated that the administrator user devices are granted access to perform the action of the creating, modifying or deleting the problem statement. In an example, the problem statement may be received from the one or more users in the form of electronic input data. In another example, the problem statement may be received from the one or more users in the form of images that may be obtained via an image capturing device associated with the user device. In such an example, the server arrangement may further comprise an image processing unit configured to process the obtained image to acquire relevant information. The server arrangement is further configured to generate a semantic representation of the problem statement. Throughout the present disclosure the term " semantic representation " used herein relates to a logical and conceptual representation of a given data that accurately depicts semantic (namely, logical and meaningful) information of the given data in a simple manner. In other words, the semantic representation of the given data can be understood to be an abstract language detailing of data elements associated with the given data, and interrelationships between such data elements. The semantic representation of the given data may employ symbols, alphabets, numbers, and the like, to describe the semantic information of the given data by way of semantic sentences. Typically, the semantic representation of the given data is in a machine-understandable format, and can easily be processed by the server arrangement. Therefore, the semantic representation of the information pertaining to the problem statement relates to a logical and conceptual representation of all obtained information pertaining to the problem statement, as described hereinabove.

Optionally, the server arrangement performs natural language processing on the problem statement to generate the semantic representation of the information pertaining to the problem statement. Herein, the natural language processing is performed based upon at least one natural language in which the problem statement is received. It will be appreciated that the problem statement is generally in form of the at least one natural language of humans, and therefore, may require processing for the server arrangement to truly understand such information, and subsequently analyse the problem statement. Therefore, the server arrangement is configured to perform natural language processing on the problem statement to generate the semantic representation of the problem statement. In an example, the server arrangement may employ at least one artificial intelligence algorithm to perform natural language processing on the received problem statement to generate the semantic representation of the problem statement.

Optionally, the natural language processing on the problem statement is performed by way at least one of: optical character recognition of the problem statement, machine translation of the problem statement, topic segmentation of the problem statement, word sense disambiguation of the problem statement, lemmatization of the problem statement, parsing of the problem statement, word segmentation of the problem statement, morphological segmentation of the problem statement, analyzing lexical semantics of the problem statement, speech recognition of the problem statement, speech segmentation of the problem statement, summarization of the problem statement.

Examples of the at least one natural language include, but are not limited to, English, German, French, Spanish, Japanese, Chinese, Hindi, Arabic, Russian and Korean.

Further, the server arrangement is configured to receive one or more proposed solutions for the problem statement from a set of employees of the organization. The term " set of employees " refers to one or more employees having a common skill set and thereby best suited for solving a particular problem in the organization. The set of employees may be a defined group of employees having a definite number, say 10, or 20 employees in a group depending on the common skill set. Throughout the present disclosure the term "proposed solutions" used herein relates to one or more solutions provided by the employees in response to the problem statement presented on the interactive user interface. Each of the one or more proposed solutions is a step, way, procedure, process or method providing a solution to the problem statement. Optionally, the proposed solution can be input in the form of a natural language statement, an image format, statistical and mathematical data and the like. Herein, the one or more proposed solutions are received from the set of employees via the interactive user interface.

Optionally, the server arrangement is configured to obtain employee- based information from the database arrangement. Notably, the database arrangement is configured to store information pertaining to each of the employee in the organization. The employee-based information comprises one or more of: name, designation, experience, skill set, performance pertaining to each of the employees. Notably, each of information pertaining to each of the employee is stored in a structured format in the database arrangement.

Herein, the employee-based information from the database arrangement is accessed and received by the server arrangement via the communication network. Optionally, the server arrangement is configured to determine an interrelation score for each employee and the given problem statement based on a nature of the problem statement and a skill set of the corresponding employee. Notably, the nature of the problem statement is the domain of the problem statement. In particular, a nature of the problem statement is an area of expertise or application that is to be examined to solve the problem. As an example, the nature of the problem statement may be a logistics problem, a managerial problem, a design problem, a fitting problem, a finance problem, a human resource problem and the like. It will be appreciated that a nature of the problem statement may be based on a type of the organization. Optionally, the server arrangement is configured to determine the nature of the problem statement from the received problem statement.

Throughout the present disclosure the term " interrelation score" used herein relates to a measure of relevance between the skill set of a particular employee and the nature of the problem statement. In addition, the interrelation score is also based on an experience of the employee in the given domain of the problem and a history of solving problems of the given domain in the past. It will be appreciated that the interrelation score of a particular is an indication of how better the particular employee is suited for solving the given problem statement. Optionally, the server arrangement is further configured to select one or more employees to form the set of employees, if the interrelation score for a given employee is above a predetermined interrelation threshold score. Notably, the interrelation threshold score is the interrelation score above which the one or more employees are selected to solve the problem statement. Further, one or more employees having the interrelation score below the predetermined threshold score are not presented with the problem statement, or are restricted to respond to the problem statement.

Optionally, the server arrangement is further configured to generate semantic representation for each of the one or more proposed solutions. As aforementioned, the semantic representation of each of the or more proposed solutions relates to a logical and conceptual representation of all obtained information pertaining to each of the one or more proposed solutions.

Optionally, the server arrangement performs natural language processing on each of the one or more proposed solutions to generate the semantic representation of each of the one or more proposed solutions. Herein, the natural language processing is performed based upon at least one natural language in which the each of the one or more proposed solutions is received. It will be appreciated that each of the one or more proposed solutions is generally in form of the at least one natural language of humans, and therefore, may require processing for the server arrangement to truly understand information pertaining to each of the one or more proposed solutions, and subsequently analyse such information whilst determining a solution model for the one or more proposed solutions. Therefore, the server arrangement is configured to perform natural language processing on each of the one or more proposed solutions to generate the semantic representation of each of the one or more proposed solutions. In an example, the server arrangement may employ at least one artificial intelligence algorithm to perform natural language processing on the information to generate the semantic representation of each of the one or more proposed solutions.

Optionally, the natural language processing on each of the one or more proposed solutions is performed by way at least one of: optical character recognition of the received one or more proposed solutions, machine translation of the received one or more proposed solutions, topic segmentation of the received one or more proposed solutions, word sense disambiguation of the received one or more proposed solutions, lemmatization of the received one or more proposed solutions, parsing of the received one or more proposed solutions, word segmentation of the received one or more proposed solutions, morphological segmentation of the received one or more proposed solutions, analyzing lexical semantics of the received one or more proposed solutions, speech recognition of the received one or more proposed solutions, speech segmentation of the received one or more proposed solutions, summarization of the received one or more proposed solutions.

Examples of the at least one natural language include, but are not limited to, English, German, French, Spanish, Japanese, Chinese, Hindi, Arabic, Russian and Korean.

The server arrangement is configured to identify semantic relations between the semantic representations of the problem statement and each of the one or more proposed solutions. The term " semantic relation " as used herein relates to a logical and conceptual relationship between the semantic representations of the problem statement and each of the one or more proposed solutions. Notably, semantic relations are identified to determine whether a particular proposed solution is logically related to the given problem statement. As an example, a problem statement comprising "apple" conceptually related to technology in phones, laptops, gadgets and electronic devices cannot establish a sematic relation with a proposed solution comprising "apple" related to fruits, agriculture and farming.

Further, the server arrangement is configured to validate each of the one or more proposed solutions if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established. It will be appreciated that the semantic relation is established in order to validate each of the one or more proposed solutions. In an example, the server arrangement shortlists the received one or more proposed solution based on whether a semantic relation is established between the semantic representations of the problem statement and each of the one or more proposed solutions or not. Notably, one or more proposed solutions are selected for further processing, if the semantic relation is established and one or more proposed solutions are discarded, if the semantic relation is not established.

The server arrangement is configured to access, from the database arrangement, knowledge-based information related to each of the validated one or more proposed solutions. Throughout the present disclosure, the term " knowledge-based information " relates to historical information and/or information obtained from expert professionals for a given domain of the validated one or more proposed solutions. Therefore, the knowledge-based information pertaining to each of the validated one or more proposed solutions relates to available world knowledge (such as historical information and/or information obtained from expert professionals) in given domain. It is to be understood that the database arrangement comprises all the knowledge-based information that is available for all the domains of problem statements. Therefore, the server arrangement is configured to perform a targeted search and thereby retrieve the knowledge-based information related to the validated one or more proposed solutions.

Optionally, the knowledge-based information comprises one or more of: information pertaining to trends in the organization, information pertaining to trends in global market, and information pertaining to a particular problem statement. Notably, a trend is an observed or predicted pattern of change within an aspect of an organization, such as changes in production, earnings, employment, etc. These changes can be decreasing or increasing indicating if the trend is upward or downward.

In an example, the information pertaining to trends in the global market may include tremendous forces that reshape industries, for example, the economic shifts that are redistributing power, wealth, competition and opportunity around the globe; the disruptive innovations, radical thinking, new business models and resource scarcity that are impacting every sector. For instance, the information pertaining to trends in the global market may include new technological breakthroughs, demographic shifts, rapid urbanization, shifts in global economic powers, resource scarcity and climate change, and the like. For example, in technological breakthroughs, automation, robotics and AI are advancing quickly, dramatically changing the nature of business and thus creating problems in existing organizations that are needed to be solved.

In another example, the information pertaining to trends in the organization may include business data of an organization that is quantifiable with a numerical value, such as overall organization sales, the change in organization sales and other figures. In addition, the business data can include performance data, market share, objective data and subjective data for the organization. Optionally, the server arrangement is further configured to determine a semantic representation of the knowledge-based information pertaining to each of the validated one or more proposed solutions. Herein, the semantic representation of the knowledge-based information relates to logical and conceptual representation of all accessed knowledge-based information, as described hereinabove.

The server arrangement is configured to analyze each of the one or more validated solutions based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement. Notably, the knowledge-based information pertaining to a particular validated solution is retrieved from the database arrangement and is further analysed to generate a solution model with relevant knowledge-based information retrieved from the database arrangement. Throughout the present disclosure the term " solution model " used herein relates to a concrete action plan to be implemented in the organization to solve a problem in the organization. The solution model may comprise one or more methods or processes to be implemented in the organization. In other words, the generated solution model illustrates how exactly a particular problem is to be solved. In one or more embodiments, the solution model is generated using data mining techniques. The knowledge-based information related to a particular validated proposed solution is processed to a suitable form to produce a dataset. Further, the dataset is processed by a data mining technique that abstracts systematic patterns in the knowledge-based information to generate the solution model. Herein, the term "data mining" refers to an automated process of discovering systematic patterns in the knowledge-based information. Examples of data mining techniques include, but are not limited to, classification, clustering, regression, association rules, outer detection, sequential patterns and detection. Furthermore, such a system carries out an immediate testing of the of the one or more validated solutions to determine the solution model; in other words, there is agile execution of the one or more validated solutions. Optionally, the solution models may be generated with a constant feedback from the set of employees, with an iterative and incremental approach in order to generate solution models. This iterative approach enhances the quality of solution models and discourages a long adherence to ineffective patterns.

According to an embodiment, the server arrangement is further configured to access, from the database arrangement, history-based information comprising data related to one or more problem-solution strategies implemented in the organization over a period of time corresponding to the problem statement. Notably, the database arrangement comprises history-based information comprising data related to one or more problem-solution strategies implemented in the organization over a period of time. Herein, the term " problem-solution strategies " refers to one or more problem statements and the corresponding solution models implemented in the organization over a period of time. Notably, the database arrangement comprises all the problem-solution strategies including both successful and unsuccessful problem-solution strategies implemented in the organization over a period of time. It will be appreciated that the server arrangement is configured to retrieve one or more problem-solution strategies that are related to the given problem statement.

Optionally, the server arrangement is further configured to analyze each of the generated solution models based on the problem-solution strategies to determine a success score therefor. The term " success score " as used herein relates to a quantifiable measure of a likelihood of performance of each of the generated solution models. Notably, the success score indicates a possibility of success of a particular solution model, based on the success of related problem-solution strategies implemented over a period of time. It will be appreciated that the success score is determined by interpolating one or more factors from a time tl to a time t2 for an accurate determination. Notably, a solution model having a high success score has a high probability of successful implementation in the organization. Further, the server arrangement is configured to identify one or more solution models with the success score above a predetermined threshold success score. Herein, the threshold success score for a solution model is the success score above which the solution model is likely to be successfully implemented in the organization. Optionally, the one or more identified solution models are presented on the user device via the interactive user interface.

According to an embodiment, the identified one or more solution models are implemented in the organization. The concrete steps, processes and methods defined in the one or more solution models are implemented in the organization. In an example, the identified one or more solution models are implemented in the entire organization one at a time. In another example, two different solution models are implemented in the organization at the same time in by dividing the organization into two groups. Notably, the one or more identified solution models is implemented in the organization for a period of time. In other words, the implementation of identified solution models in the organization includes performing functional test(s) of the identified solution models; in other words, prototyping of the identified solution models. The server arrangement is further configured to obtain observation data via implementation of each of the one or more identified solution models. Herein, the term " observation data " refers to quantifiable changes in the organization subsequent to implementation of the identified solution model. The type of observation data depends on the implementation of the identified solution model. In an example, if the solution model is implemented to increase sales in the organization, then the observation data is recorded for sales in the organization. Additionally, the period of time over which the observation data is recorded can be varied according to the problem to be solved. Further, the server arrangement is configured to store the observation data in the database arrangement.

Optionally, the server arrangement is further configured to share the observation data for each of the identified solution models with the set of employees. Notably, the observation data is presented on the user device via the interactive user interface. It will be appreciated that a constant update and sharing of observation data with the set of employees improves an implementation of the identified solution model as the implementation is constantly monitored by the set of employees. Further, the server arrangement is configured to receive feedback from the set of employees on each of the identified solution models based on the observation data therefor. Optionally, feedback is received in a binary format. For example, each of the employee in the set of employees is presented with two options, positive and negative. The set of employees is prompted to choose either of the two options in order to submit the feedback. In another example, the feedback is received in numerical format, such as each of the employee in the set of employees is prompted to enter a numerical value on a scale of 1 to 5, to submit a feedback on the observed data, with 1 being the lowest indicating least satisfied and 5 being the highest indicating most satisfied. Further, the server arrangement is configured to aggregate the received feedback for each of the identified solution models. It will be appreciated that the aggregated feedback is calculated based on each of the received feedbacks from the set of employees in order to determine a normalized feedback indicating a collective reaction of the set of employees in the organization. Further, the server arrangement is configured to classify a particular solution model as successfully implemented, if the received aggregated feedback is positive. Optionally, the server arrangement is further configured to receive one or more proposed changes for each of the identified solution models from the set of employees, if the received aggregated feedback therefor is negative. Flerein, the one or more proposed changes are received from set of employees via the interactive user interfaces presented on the corresponding user devices. Further, the server arrangement is configured to update a particular solution model based on the one or more received proposed changes. Optionally, the server arrangement is configured to render the updated solution model on the user device via the interactive user interface. It will be appreciated that once one of the solution models is finalized after implementation for a defined period of time, for example, for a short period of time, and along with incorporations from constant feedback from the users, the solution model is scaled to be implemented in the entire organization and for a long period of time, until the problem is solved or a particular goal is achieved.

In an exemplary implementation, the server arrangement is essentially configured to determine a solution to a given problem by performing four different phases, namely team development or levelling, solution model design, agile execution of the solution model, prototyping of the solution model, implementation and scaling of the solution model and transferring for organizational transformation. In a first phase, when a problem statement is generated, either by the system itself or provided by an administrative user of the system, a group of employees is selected from a number of employees in the organization. Herein, the group may be formed based a skill level of the employees relating to a domain of the problem statement, thereby ensuring that a best possible solution is received from the group of employees. Beneficially, the value of a user's own contribution is experienced in a totally different way from that in the usual working day in the organization. This strengthens not only an individual's trust in himself/herself, but also their self-responsibility. Beneficially, the employees in the group start to work for and with each other. The dynamic understanding of roles gives space to every user's strengths. Furthermore, the team responsibility is commensurately high. Advantageously, such a system promotes personal development, generates a framework for trust through sharing personal experience, insight and result (EIR) [ Erlebnis , Erkenntnis, Ergebnis (EEE)] _r develops conscious and dynamic collaboration, a drive to win together, and lead the team to self-management and self-organization. In a second phase, the server arrangement is configured to receive solutions to the stated problem from the selected group of employees, and design one or more solution models as discussed above, and then determine the best possible solution. Beneficially, the formulation and discovery of the right view of the problem statement, together with the elaboration of the central issue in order to find the solution, is the central basis for the generation or design of solution model. In this way, superficial rapid shots are avoided and the result is a comprehensive view. The main aim of generation of solution model is to work out the starting point and the central issue, and find the best approach to the solution, in order to see the actual problems, change perspective, and promote systematic thinking.

In a third phase, the server arrangement is configured to test the designed solution models for agile problem solving faoile implementation^ Once the central problem statement has been identified from the group's point of view, the next move is to quickly substantiate up the idea (minimum viable product). A constant focus on the customer is crucial to this. Immediate testing on the user's site or that of the affected party is therefore a central element. This approach not only ensures that the solution is highly appropriate, but it also develops qualities such as openness, courage, articulation, resilience, dialogue, story-telling, tolerance of faults, structured thinking and action, assumption of collective responsibility and, last but not least, agile work organisation in contributors. In the course of testing, it is perfectly plausible that the element of perspective solution model design may have to be embarked upon once again due to new insights. Key qualities in this element are a focus on the goal, product-oriented thinking, adaptability and entrepreneurship (opportunities before risk, acting before thinking too much). This iterative approach enhances the quality of results and prevents a long adherence to ineffective patterns. Beneficially, such a system produces a minimum viable product, encourage entrepreneurship, and puts opportunities before risks, in order to give substance to the solution and embrace organization focus.

In a fourth phase, the server arrangement is configured to implement the designed models for a predefined period of time, i.e. performing prototyping of the designed solution models. The aim here is to carry out a functional test of the assumptions made for solution models. This requires a product specification that is as precise and tangible as possible. The guiding principle for this is the 80/20 rule, in order to receive feedback from the customer on the ideas and contributions that have been developed as soon and as accurately as possible. Once the prototype has been defined in detail, a structured implementation plan is designed. Beneficially, prototyping of designed solution models aims to test the solution model, verify assumptions, obtain feedback, and enhance solution model in order to achieve the goal quickly through more agile switching between testing and correction, create an implementable contribution, teach focus, product awareness, collective responsibility and adaptability in the contributors through the feedback process.

In a fifth phase, implementation and scaling of the best suited solution model is carried out in the organization. Beneficially, the main aim of this phase is to implement the best suited solution model in the real-world, in order to_establish acceptance in the system and overcome resistance, increase assumption of entrepreneurial responsibility in employees, to enhance acceptance of the contribution and facilitate a wider pull effect.

According to an embodiment, the server arrangement is further configured to retrieve, from the database arrangement, employee-based information pertaining to skill set of each of the employees in the organization. Herein, the term "skill set" relates to a particular category of knowledge, abilities, and experience acquired by an employee over a period of time. Examples of one more skills constituting the skill set, includes but are not limited to, leadership, team player, time punctual, human relations, research and planning, accounting, leadership, management, and computer skills. The server arrangement is further configured to generate a virtual profile for each of the employees. Throughout the present disclosure the term " virtual profile" as used herein refers to a digital profile of the employee of the organization. The generated virtual profile mimics the skill set of a corresponding employee. Furthermore, the generated virtual profile simulates the actions of the corresponding employee in a virtual environment. In an example, in order to generate the virtual employee, the server arrangement further comprises one or more sensors to record one or more actions of the corresponding employee and subsequently iteratively train the virtual profile of the employee. Notably, the virtual profile of an employee replicates each and every action of the corresponding employee. It will be appreciated that the virtual profile will possess a similar skill set as the corresponding employee.

Optionally, the server arrangement is further configured to implement machine learning algorithms for generating and subsequent training of the virtual profile. Throughout the present disclosure the term "machine learning algorithms" as used herein refers to software-based algorithms that are executable upon computing hardware and are operable to adapt and adjust their operating parameters in an adaptive manner depending upon information that is presented to the software-based algorithms when executed upon the computing hardware. Optionally, the machine learning algorithms include neural networks such as recurrent neural networks, recursive neural networks, feed-forward neural networks, convolutional neural networks, deep belief networks, and convolutional deep belief networks; self-organizing maps; deep Boltzmann machines; and stacked de-noising auto-encoders. Optionally, the machine learning algorithms employ any one or combination of the following computational techniques: constraint program, fuzzy logic, classification, symbolic manipulation, fuzzy set theory, evolutionary computation, cybernetics, data mining, approximate reasoning, derivative-free optimization, decision trees, or soft computing. Moreover, the term "neural network" as used herein can include a highly interconnected network of processing elements, each optionally associated with a local memory. In an example, the neural network may be Kohonen map, multi-layer perceptron and so forth. Furthermore, the processing elements of the neural networks can be " artificial neural units ", " artificial neurons" , " neural units", "neurons" , "nodes" and the like. Moreover, the neuron can receive data from an input or one or more other neurons, process the data, and send processed data to an output or yet one or more other neurons. The neural network or one or more neurons thereof can be generated in either hardware, software, or a combination of hardware and software, and the neural network can be subsequently trained.

Optionally, the virtual profile of a corresponding employee is an artificial intelligence bot. The artificial intelligence bot refers to an autonomous program trained through the artificial intelligence, present on a network such as the cloud server. Herein, in the present disclosure, the artificial intelligence bot is configured to behave in a manner that is similar to an employee of the organization. For example, the artificial intelligence bot mimics the actions and behavior of an employee, such how the employee would reply to particular mails, or the employee would react to a particular business problem. The term "artificial intelligence" as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot, such as the virtual profile. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, pre-set targeting accuracy levels, and/or programmatically intelligent software. The artificial intelligence (AI) in the context of the present disclosure relates to software-based algorithms that are executable upon computing hardware and are operable to adapt and adjust their operating parameters in an adaptive manner depending upon information that is presented to the software-based algorithms when executed upon the computing hardware. Optionally, artificial intelligence (AI) employ any one or combination of the following computational techniques: constraint program, fuzzy logic, classification, conventional artificial intelligence, symbolic manipulation, fuzzy set theory, evolutionary computation, cybernetics, data mining, approximate reasoning, derivative-free optimization, decision trees, or soft computing.

Optionally, the server arrangement is further configured to generate a virtual organization constituting each of the virtual profiles. It will be appreciated that the virtual organization is generated to simulate the actions and operations of the organization. Notably, the aforementioned machine learning algorithms are employed to train the virtual organization to simulate the actions of the organization. Further, the server arrangement is further configured to virtually implement each of the solution models in the virtual organization. It will be appreciated that the virtual implementation of each of the solution models aids in testing of each of the solution models in a time-efficient manner. Further, the server arrangement is configured to determine a performance score of each of the solution models based on the virtual implementation thereof. The term " performance score " is a quantifiable measure of likelihood of successful implementation of each of the solution models in the virtual organization. The implementation of the solution models on the virtual organization may result in a successful implementation or an unsuccessful implementation determined by the performance score. Further, the server arrangement is configured to classify one or more solution models as successful if the performance score thereof is above a predetermined threshold performance score. Herein, the threshold performance score of the implemented solution model is the performance score above which the solution model implemented in the virtual organization is likely to be successful in a real-world implementation of the solution model. Optionally, the server arrangement is configured to render one or more successful solution models on the user device via the interactive user interface.

The present disclosure also relates to the method as described above. Various embodiments and variants disclosed above apply mutatis mutandis to the method. Optionally, the method further comprises:

- accessing history-based information comprising data related to one or more problem-solution strategies implemented in the organization over a period of time corresponding to the problem statement;

- analyzing each of the generated solution models based on the problem- solution strategies to determine a success score therefor; and

- identifying one or more solution models with the success score above a predetermined threshold success score.

Optionally, the method further comprises implementing the identified one or more solution models in the organization, and wherein the method further comprises:

- obtaining observation data via implementation of each of the one or more identified solution models; and

- storing the observation data.

Optionally, the method further comprises: - sharing the observation data for each of the identified solution models with the set of employees;

- receiving feedback from the set of employees on each of the identified solution models based on the observation data therefor; - aggregating feedback for each of the identified solution models; and

- classifying a particular solution model as successfully implemented, if the received aggregated feedback is positive.

Optionally, the method further comprises:

- receiving one or more proposed changes for each of the identified solution models from the set of employees, if the received aggregated feedback therefor is negative; and

- updating a particular solution model based on the one or more received proposed changes.

Optionally, the method further comprises: - obtaining employee-based information from the database arrangement;

- determining an interrelation score for each employee and the given problem statement based on a nature of the problem statement and a skill set of the corresponding employee; and

- selecting one or more employees to form the set of employees, if the interrelation score for a given employee is above a predetermined interrelation threshold score.

Optionally, the knowledge-based information comprises one or more of: information pertaining to trends in the organization, information pertaining to trends in global market, and information pertaining to a particular problem statement.

Optionally, the employee-based information comprises one or more of: name, designation, experience, skill set, performance pertaining to each of the employees. Optionally, the method further comprises:

- retrieving employee-based information pertaining to skill set of each of the employees in the organization;

- generating a virtual profile for each of the employees, wherein each of the generated virtual profile mimics the skill set of a corresponding employee;

- generating a virtual organization constituting each of the virtual profiles;

- virtually implementing each of the solution models in the virtual organization;

- determining a performance score of each of the solution models based on the virtual implementation thereof; and

- classifying one or more solution models as successful if the performance score thereof is above a predetermined threshold performance score.

Optionally, the method further comprises:

- providing an interactive user interface associated with a user device;

- rendering the problem statement on the user device via the interactive user interface;

- receiving the one or more proposed solutions from the set of employees via the interactive user interface;

- rendering one or more identified solution models on the user device via the interactive user interface;

- rendering the observation data on the user device via the interactive user interface;

- receiving the feedback from the set of employees via the interactive user device;

- rendering the updated solution model on the user device via the interactive user interface; and

- rendering one or more successful solution models on the user device via the interactive user interface. DETAILED DESCRIPTION OF THE DRAWINGS

Referring to FIG. 1, there is shown a block diagram of a system 100 for determining a solution for a problem in an organization, in accordance with an embodiment of the present disclosure. As shown, the system 100 comprises a server arrangement 102 coupled to a database arrangement 104 via a network 106. Moreover, shown are user devices 108A,108B, 108C are coupled to the server arrangement 102 via a network 106.

Referring to FIG. 2, there is shown an illustration of a flow chart 200 for classifying a solution model, in accordance with an embodiment of the present disclosure. At a step 202, one or more solution models with a success score above a predetermined threshold success score is identified and observation data of the identified solution models is obtained. At a step 204, the observation data for each of the identified solution is shared with a set of employees. At a step 206, feedback is received from the set of employees on each of the identified solution models based on the observation data. At a step 208, feedback for each of the identified solution models is aggregated. At a step 210, if the received aggregated feedback is positive, a particular solution model is classified as successfully implemented. At a step 212, if the received aggregated feedback is negative, one or more proposed changes is received for each of the identified solution models from the set of employees. At a step 214, a particular solution model having a negative aggregated feedback, is updated based on the one or more received proposed changes.

Referring to FIG.3 illustrated is steps of a method 300 for determining a solution for a problem in a virtual organization, in accordance with an embodiment of the present disclosure. At a step 302, employee-based information pertaining to skill set of each employee in an organization is retrieved. At a step 304, a virtual profile for each employee is generated. Moreover, each of the generated virtual profile mimics the skill set of a corresponding employee. At a step 306, the virtual organization constituting each of the virtual profiles is generated. At a step 308, each solution model is virtually implemented in the virtual organization. At a step 310, a performance score of each of the solution models is determined based on the virtual implementation. At a step 312, one or more solution models is classified as successful if the performance score thereof is above a predetermined threshold performance score.

Referring to FIGs. 4A-C illustrated are exemplary user interfaces 440A, 400B, 400C rendered on a user device employed by the system of FIG. 1, in accordance with an embodiment of the present disclosure. As shown, FIGs. 4A-C comprises a first user interface section 402 enabling an employee using the user device to switch to different tabs such as user profile and logout.

Referring to FIG. 4A, the user interface 400A comprises a second user interface section 404 to display problem statement pertaining to problems in an organization. The second user interface section 404 comprises a first label 406 to convey the employee that the second user interface section 404 is for displaying the problem statement. The second user interface section 404 further comprises a user interface sub-section 408 to display the problem statement. The user interface 400A comprises a third user interface section 410 to receive proposed solution for the problem statement displayed in user interface sub-section 408. The third user interface section 410 comprises a second label 412 to convey the employee that the third user interface section 410 is for receiving proposed solution. The third user interface section 410 further comprises an input section 412 to receive proposed solution from employee.

Referring to FIG. 4B, the user interface 400B comprises a fourth user interface section 414 to display a first identified proposed solution having a success score above a predetermined threshold. The fourth user interface section 414 comprises a user interface sub-section 416 displaying a bar graph representation of the first identified proposed solution based on 2 set of parameters such as 'c' parameter and 'y' parameter. The fourth user interface section 414 further comprises a user interface sub-section 418 displaying a pie-chart representation of value of different parameters such as 'z , 'z2', 'z3', 'z4' in the first identified proposed solution. The fourth user interface section 414 comprises a user interface sub-section 420 for displaying a success score of the first identified proposed solution. As show, the user interface sub section 420 displays the success score of the first identified proposed solution to be higher than the predetermined threshold score 422. The user interface 400B further comprises a fifth user interface section 424, a sixth user interface section 426 and a seventh user interface section 428 displaying a second identified proposed solution, a third identified proposed solution and a fourth identified proposed solution each having a success score above a predetermined threshold, respectively.

Referring to FIG. 4C, the user interface 400C comprises an eighth user interface section 430 to display observation data for each of identified solution models with the set of employees. The eighth user interface section 430 comprises a third label 432 to convey the employee that the eighth user interface section 430 is for displaying the observation data for an identified solution model. The eighth user interface section 430 further comprises a user interface sub-section 434 to display the observation data. The user interface 400C further comprises a ninth user interface section 436 to receive feedback from employees on each of the identified solution models based on the observation data. The ninth user interface section 436 comprises a fourth label 438 to convey the employee that the ninth user interface section 436 is for receiving feedbacks for identified solution model. The ninth user interface section 436 comprises an input section 440 to receive feedbacks from the employee. The user interface 400C comprises a tenth user interface section 442 to enable the employee to submit the feedback. Referring to FIG. 5, there is shown an illustration of a block diagram 500 representing phases of determining solution for a problem, in accordance with an embodiment of the present disclosure. As shown, in a first phase 502, a solution to a given problem is determined by performing different phases, namely team development or levelling, solution model design, agile execution of the solution model, prototyping of the solution model, implementation and scaling of the solution model and transferring for organizational transformation. In the first phase, when a problem statement is generated, either by the system itself or provided by an administrative user of the system, a group of employees is selected from a number of employees in the organization. Herein, the group may be formed based a skill level of the employees relating to a domain of the problem statement, thereby ensuring that a best possible solution is received from the group of employees. Beneficially, the value of a user's own contribution is experienced in a totally different way from that in the usual working day in the organization. This strengthens not only an individual's trust in himself/herself, but also their self-responsibility. Beneficially, the employees in the group start to work for and with each other. The dynamic understanding of roles gives space to every user's strengths. Furthermore, the team responsibility is commensurately high. Advantageously, such a system promotes personal development, generates a framework for trust through sharing personal experience, insight and result (EIR), develops conscious and dynamic collaboration a drive to win together, lead the team to self-management and self organization.

In a second phase 504, solutions to the stated problem are received from the selected group of employees, and design one or more solution models as discussed above, and then determine the best possible solution. Beneficially, the formulation and discovery of the right view of the problem statement, together with the elaboration of the central issue in order to find the solution is the central basis for the generation or design of solution model. In this way, superficial rapid shots are avoided and the result is a comprehensive view. The main aim of generation of solution model is to work out the starting point and the central issue, and find the best approach to the solution, in order to see the actual problems, change perspective, and promote systemic thinking.

In a third phase 506, the server arrangement is configured to test the designed solution models for agile problem solving faaile implementation^ Once the central problem statement has been identified from the group's point of view, the next move is to quickly substantiate up the idea, or designed solution model the contribution (minimum viable product). A constant focus on the customer is crucial to this. Immediate testing on the user's site or that of the affected party is therefore a central element. This approach not only ensures that the solution is highly appropriate, but it also develops qualities such as openness, courage, articulation, resilience, dialogue, story-telling, tolerance of faults, structured thinking and action, assumption of collective responsibility and, last but not least, agile work organisation in contributors. In the course of testing, it is perfectly plausible that the element of perspective solution model design may have to be embarked upon once again due to new insights. Key qualities in this element are a focus on the goal, product-oriented thinking, adaptability and entrepreneurship (opportunities before risk, acting before thinking too much). This iterative approach enhances the quality of results and prevents a long adherence to ineffective patterns. Beneficially, such a system produces a minimum viable product, encourage entrepreneurship, and puts opportunities before risks, in order to give substance to the solution and embrace organization focus.

In a fourth phase 508, the designed models are implemented for a predefined period of time, performing prototyping of the designed solution models. The aim here is to carry out a functional test of the assumptions made for solution models. This requires a product specification that is as precise and tangible as possible. The guiding principle for this is the 80/20 rule, in order to receive feedback from the customer on the ideas and contributions that have been developed as soon and as accurately as possible. Once the prototype has been defined in detail, a structured implementation plan is designed. Beneficially, prototyping of designed solution models aims to test the solution model, verify assumptions, obtain feedback, and enhance solution model in order to achieve the goal quickly through more agile switching between testing and correction, create an implementable contribution, teach focus, product awareness, collective responsibility and adaptability in the contributors through the feedback process.

In a fifth phase 510. implementation and scaling of the best suited solution model is carried out in the organization. Beneficially, the main aim of this phase is to implement the best suited solution model in the real-world, in order to_establish acceptance in the system and overcome resistance, increase assumption of entrepreneurial responsibility in employees, to enhance acceptance of the contribution and facilitate a wider pull effect.

Referring to FIG. 6, there is shown a process flowchart 600 steps for determining solution for a given problem in an organization, in accordance with an embodiment of the present disclosure. At step 602, a problem statement is presented to the user, prompting the user to provide one or more solutions to the problem. At step 604, conditions and frames are designed for the problem statement and the corresponding solutions. At step 606, a best solution is selected from a number of solutions provided and feedbacks are obtained from employees and changes are incorporated into the best solution. At step 608, a solution model is generated and implemented in the organization, which is adaptable to dynamic needs of the organization. Referring to FIG. 7, there is shown an illustration of steps of a method 700 for determining a solution for a problem in an organization. At a step 702, a problem statement pertaining to the problem in the organization is received. At a step 704, a semantic representation of the problem statement is generated. At a step 706, one or more proposed solutions for the problem statement is received from a set of employees of the organization. At a step 708, semantic representation for each of the one or more proposed solutions is generated. At a step 710, semantic relations are identified between the semantic representations of the problem statement and each of the one or more proposed solutions. At a step 712, each of the one or more proposed solutions is validated if the semantic relation between the semantic representation of the problem statement and the corresponding semantic representation of the one or more proposed solutions is established. At a step 714, knowledge-based information related to each of the validated one or more proposed solutions is accessed. At a step 716, validated solutions are analyzed based on the knowledge-based information to generate a solution model for each of the one or more validated solutions for the given problem statement. The steps 702 to 716 are only illustrative and other alternatives can also be provided where one or more steps are added, one or more steps are removed, or one or more steps are provided in a different sequence without departing from the scope of the claims herein.

Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non ^¬ exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural.