1. A system for managing the social responsibility of an organization, the system comprising: a data storage system for storing social responsibility data related to the organization; a data processing system configured to receive and process the social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations; a user interface for displaying the processed social responsibility data to a user; and a set of algorithms for analyzing the social responsibility data and generating reports for the user.

2. The system of claim 1, wherein the data storage system includes a database for storing the social responsibility data in a structured and organized manner.

3. The system of claim 1, wherein the data processing system is configured to receive data from one or more sources, including sensors, surveys, and reports.

4. The system of claim 1, wherein the user interface includes a dashboard for providing an overview of the organization's social responsibility performance.

5. The system of claim 1, wherein the set of algorithms includes machine learning algorithms for identifying trends and making predictions based on the social responsibility data.

6. A method for managing the social responsibility of an organization, the method comprising the steps of: collecting social responsibility data related to the organization; processing the social responsibility data using a data processing system to generate processed social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations; analyzing the processed social responsibility data using a set of algorithms to generate reports for a user; and displaying the reports on a user interface.

7. The method of claim 6, wherein the step of collecting social responsibility data includes receiving data from one or more sources, including sensors, surveys, and reports.

8. The method of claim 6, wherein the step of processing the social responsibility data includes storing the social responsibility data in a structured and organized manner in a data storage system.

9. The method of claim 6, wherein the step of analyzing the processed social responsibility data includes using machine learning algorithms to identify trends and make predictions based on the social responsibility data.   IMPROVISATION OF SOCIAL-RESPONSIBILITY OF BUSINESS Abstract A system for managing the social responsibility of an organisation, comprising a data storage system for storing social responsibility data connected to the organisation, may be one of the embodiments of the current disclosure. This disclosure may also comprise other systems. A data processing system that is designed to accept and process the social responsibility data, including data on the organization's environmental impact, community participation, and employee relations, may also be included in embodiments. Moreover, embodiments may comprise a user interface that is capable of showing the social responsibility data that has been processed to a user. In certain embodiments, there may additionally be a set of algorithms included, which are responsible for doing an analysis of the social responsibility data and providing reports for the user. Fig. 1 , Claims:Claims :

1. A system for managing the social responsibility of an organization, the system comprising: a data storage system for storing social responsibility data related to the organization; a data processing system configured to receive and process the social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations; a user interface for displaying the processed social responsibility data to a user; and a set of algorithms for analyzing the social responsibility data and generating reports for the user.

2. The system of claim 1, wherein the data storage system includes a database for storing the social responsibility data in a structured and organized manner.

3. The system of claim 1, wherein the data processing system is configured to receive data from one or more sources, including sensors, surveys, and reports.

4. The system of claim 1, wherein the user interface includes a dashboard for providing an overview of the organization's social responsibility performance.

5. The system of claim 1, wherein the set of algorithms includes machine learning algorithms for identifying trends and making predictions based on the social responsibility data.

6. A method for managing the social responsibility of an organization, the method comprising the steps of: collecting social responsibility data related to the organization; processing the social responsibility data using a data processing system to generate processed social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations; analyzing the processed social responsibility data using a set of algorithms to generate reports for a user; and displaying the reports on a user interface.

7. The method of claim 6, wherein the step of collecting social responsibility data includes receiving data from one or more sources, including sensors, surveys, and reports.

8. The method of claim 6, wherein the step of processing the social responsibility data includes storing the social responsibility data in a structured and organized manner in a data storage system.

9. The method of claim 6, wherein the step of analyzing the processed social responsibility data includes using machine learning algorithms to identify trends and make predictions based on the social responsibility data.

Description:IMPROVISATION OF SOCIAL-RESPONSIBILITY OF BUSINESS
Field of the Invention
[0001] The present invention relates generally to corporate social responsibility. More particularly, the system and method for managing the social responsibility of an organization.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The concept of social responsibility of business, also known as corporate social responsibility (CSR), has gained increasing attention in recent years as a result of growing concern for social and environmental issues. The idea of CSR is based on the belief that businesses have a responsibility to contribute to society beyond just maximizing profits.
[0004] In the past, businesses were primarily focused on achieving financial success and shareholder value, often at the expense of social and environmental issues. However, with the rise of global social and environmental challenges, such as climate change, poverty, and inequality, many businesses have recognized the need to adopt more socially responsible practices.
[0005] Corporate social responsibility can take many different forms, including philanthropy, ethical labour practices, environmental sustainability, and community engagement. Many organizations are now incorporating CSR principles into their overall business strategies, with the goal of creating a positive impact on society and the environment while also achieving financial success.
[0006] The concept of CSR has also gained increasing attention from stakeholders, including investors, customers, employees, and regulators. Many stakeholders are now looking for evidence of an organization's commitment to social responsibility, and are more likely to support businesses that demonstrate strong CSR practices.
[0007] There are certain patent documents which cater similar segment and filed in different jurisdictions. Few exemplary patent documents are illustrated below.
[0008] US20150339612 (by FEAVER DONALD) - This invention relates to the creation of a framework and process for improving organizational performance through the adoption and implementation of social responsibility standards by public or private organizations. This invention relates to the configuration of computer software applications that coordinate and perform specific business or organizational process functions that assist in the implementation of the social responsibility standards and process improvements. The invention includes a description of the positioning of the software applications as well as the composition of general data flows between the computer applications and actors implementing the social responsibility standards and monitoring the effects. By following the steps outlined in the process flow described below, an organization will embed standards and norms in a manner that i. will improve its performance ii. enable it to achieve performance objectives iii. entitle the organization to apply for certification as judged against standards and normative requirements and, iv. monitor ongoing continuous improvement measures. Each of these functions is delivered, and mediated by computer software applications. The invention can also be configured as a module of enterprise resource planning (ERP) computer applications.
[0009] AU2021107093 (by SAMSUNISA) - Abstract Corporate Social Responsibility (CSR) has turned into a important issue of business management in recent years. This investigation plans to add to the writing by calling attention to the pertinence of CSR for a Sustainable Human Resource Management (HRM). Specifically this exploration examines work searchers' view of CSR. This invention centers around the significance of CSR with during the time spent choosing likely businesses by examining the effect of four distinct CSR-measurements upon authoritative allure. To resolve this issue, a strategy catching investigation was directed. This invention gives proof that every part of CSR specifically affects authoritative fascination. Referring to Sustainable Management the investigation uncovers that CSR is by all accounts a compelling device to draw in possible representatives. In case associations will give Sustainable HRM rehearses they can turn into a business of-decision.
[00010] Overall, the social responsibility of business has become an increasingly important topic in both academic and business circles. As businesses continue to face social and environmental challenges, there is a growing need for research to explore the most effective ways for businesses to adopt socially responsible practices and make a positive impact on society and the environment.

Summary
[00011] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00012] The following paragraphs provide additional support for the claims of the subject application.
[00013] The present invention relates generally to corporate social responsibility. More particularly, the system and method for managing the social responsibility of an organization.
[00014] Embodiments of the present disclosure may include a system for managing the social responsibility of an organization, including a data storage system for storing social responsibility data related to the organization. Embodiments may also include a data processing system configured to receive and process the social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations. Embodiments may also include a user interface for displaying the processed social responsibility data to a user. Embodiments may also include a set of algorithms for analyzing the social responsibility data and generating reports for the user.
[00015] In some embodiments, the data storage system includes a database for storing the social responsibility data in a structured and organized manner. In some embodiments, the data processing system may be configured to receive data from one or more sources, including sensors, surveys, and reports. In some embodiments, the user interface includes a dashboard for providing an overview of the organization's social responsibility performance. In some embodiments, the set of algorithms includes machine learning algorithms for identifying trends and making predictions based on the social responsibility data.
[00016] Embodiments of the present disclosure may also include a method for managing the social responsibility of an organization, including the steps of collecting social responsibility data related to the organization. Embodiments may also include processing the social responsibility data using a data processing system to generate processed social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations. Embodiments may also include analyzing the processed social responsibility data using a set of algorithms to generate reports for a user.
[00017] In some embodiments, the step of collecting social responsibility data includes receiving data from one or more sources, including sensors, surveys, and reports. In some embodiments, the step of processing the social responsibility data includes storing the social responsibility data in a structured and organized manner in a data storage system. In some embodiments, the step of analyzing the processed social responsibility data includes using machine learning algorithms to identify trends and make predictions based on the social responsibility data.
Brief Description of the Drawings
[00018] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00019] FIG. 1 is a block diagram illustrating a system for managing the social responsibility of an organization, according to some embodiments of the present disclosure.
[00020] FIG. 2 is a block diagram further illustrating the system from FIG. 1 for managing the social responsibility of an organization, according to some embodiments of the present disclosure.
[00021] FIG. 3 is a flowchart illustrating a method for managing the social responsibility of an organization, according to some embodiments of the present disclosure.
Detailed Description
[00022] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00023] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00024] The present invention relates generally to corporate social responsibility. More particularly, the system and method for managing the social responsibility of an organization. In line with different applications of the current disclosure, a diagrammatic representation of a system 100 (for managing the social responsibility of an organization) that has been disassembled into its component pieces may be found in Figure 1. The following components may be included in some implementations of the system 100: a data storage system 110 for storing social responsibility data related to the organisation; a data processing system 120 configured to receive and process the social responsibility data; a user interface 130 for displaying the processed social responsibility data to a user; a set of algorithms 140 for analysing the social responsibility data and generating reports for the user; and a user id 150. Some implementations of the system 100 may also include a data 122 on the organization's environmental impact, community engagement, and employee relations might also be saved in the data processing system 120 provided it is configured in the suitable manner.
[00025] The data storage system 110 may, in certain implementations, include a database that is used to store the data on social responsibility in a way that is both structured and organised. This could be the case if the data storage system 110 includes a database that is used to store the data on social responsibility. In some implementations, the user interface 130 may include a dashboard that gives a high-level perspective of the overall performance of the company in relation to its social responsibility requirements. The set of algorithms 140 may, in some implementations, include machine learning algorithms for the purpose of recognising patterns and developing hypotheses based on the data relating to social responsibility. This can be accomplished by recognising patterns and developing hypotheses based on the data.
[00026] In line with particular applications of the present disclosure, the block diagram shown in Figure 2 provides further information about the system 100 for managing the social responsibility of an organization (shown in Figure 1). In some implementations, the data processing system 120 may be built to be able to take in data from a single source or several sources. This could be the case in certain manifestations, but certainly not all of them.
[00027] Figure 3 is a flowchart that depicts one embodiment of a technique for managing an organization's social responsibility. The flowchart may be found in the accompanying document. This method is consistent with certain features of the disclosure that has been made at this time. An additional phase that is not required but may be included in certain configurations of the system is the gathering of data on the degree of social responsibility that the organisation maintains (at location 310). The method may, at step 320, involve processing the social responsibility data using a data processing system in order to produce processed social responsibility data. This might be done in order to generate processed social responsibility data. This processed data can include information on an organization's environmental effect, its involvement in the community, or its employee relations. In order to produce reports for a user, the method may, at step 330, entail doing an analysis of the social responsibility data that has been processed by a set of algorithms. This analysis is done in order to present the user with information. 340 refers to the potential incorporation into the method of displaying the reports on the user interface 130 of some kind.
[00028] In different implementations of the invention, the phase of collecting data relevant to social responsibility may include the step of receiving data from one or more sources, such as sensors, surveys, and reports. This step may also be included in other phases of the process. Depending on the particular implementation, the step of storing the social responsibility data in a structured and ordered manner within the data storage system 110 may be included in some implementations of the step of processing the social responsibility data. This inclusion is possible in certain implementations of the step of processing the social responsibility data. In certain implementations, the step of analysing the processed social responsibility data may entail the use of machine learning algorithms to search for patterns and to make predictions based on the social responsibility data.
[00029] A system for managing the social responsibility of an organisation, comprising the data storage system 110 for storing social responsibility data connected to the organisation, may be one of the embodiments of the current disclosure. The data processing system 120 that is designed to accept and process the social responsibility data, including data on the organization's environmental impact, community participation, and employee relations, may also be included in embodiments. Moreover, embodiments may comprise the user interface 130 that is capable of showing the social responsibility data that has been processed to a user. In certain embodiments, there may additionally be a set of algorithms 140 included, which are responsible for doing an analysis of the social responsibility data and providing reports for the user.
[00030] In certain implementations, the data storage system 110 is comprised of a database that is used to store the data pertaining to social responsibility in a way that is both structured and organised. In certain implementations, the data processing system 120 may be set to get information from one or more sources, such as sensors, surveys, and reports. In some implementations, the user interface 130 is designed to feature a dashboard that gives a summary of how well the company is doing in terms of its social responsibility. The collection of algorithms may, in certain implementations, comprise machine learning algorithms for the purpose of recognising patterns and generating predictions based on the data relating to social responsibility.
[00031] A method for managing the social responsibility of an organisation may also be included in embodiments of the present disclosure. This method may comprise the steps of collecting social responsibility data linked to the organisation as one of its stages. The data processing system 120 may also be used to process the social responsibility data in order to create processed social responsibility data. This kind of data may contain information on an organization's environmental impact, community participation, and employee relations. In certain embodiments, generating reports for a user may additionally include doing an analysis of the processed social responsibility data using a predefined set of algorithms. Displaying the reports on the user interface 130 is another possible aspect of embodiments to consider.
[00032] Receiving data from one or more sources, such as sensors, surveys, and reports is a stage that may be included in some implementations of the process of collecting data related to social responsibility. The step of storing the social responsibility data in a structured and ordered way inside the data storage system 110 is included in the processing of the social obligation data in certain implementations. The step of utilising machine learning algorithms to detect patterns and generate predictions based on the processed social responsibility data is included in some implementations of the step of using machine learning algorithms to analyse the processed social responsibility data.
[00033] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00034] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00035] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00036] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00037] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A system for managing the social responsibility of an organization, the system comprising:

a data storage system for storing social responsibility data related to the organization;
a data processing system configured to receive and process the social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations;
a user interface for displaying the processed social responsibility data to a user; and
a set of algorithms for analyzing the social responsibility data and generating reports for the user.

2. The system of claim 1, wherein the data storage system includes a database for storing the social responsibility data in a structured and organized manner.

3. The system of claim 1, wherein the data processing system is configured to receive data from one or more sources, including sensors, surveys, and reports.

4. The system of claim 1, wherein the user interface includes a dashboard for providing an overview of the organization's social responsibility performance.

5. The system of claim 1, wherein the set of algorithms includes machine learning algorithms for identifying trends and making predictions based on the social responsibility data.

6. A method for managing the social responsibility of an organization, the method comprising the steps of:
collecting social responsibility data related to the organization;
processing the social responsibility data using a data processing system to generate processed social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations;
analyzing the processed social responsibility data using a set of algorithms to generate reports for a user; and
displaying the reports on a user interface.

7. The method of claim 6, wherein the step of collecting social responsibility data includes receiving data from one or more sources, including sensors, surveys, and reports.

8. The method of claim 6, wherein the step of processing the social responsibility data includes storing the social responsibility data in a structured and organized manner in a data storage system.

9. The method of claim 6, wherein the step of analyzing the processed social responsibility data includes using machine learning algorithms to identify trends and make predictions based on the social responsibility data.
 

IMPROVISATION OF SOCIAL-RESPONSIBILITY OF BUSINESS

Abstract
A system for managing the social responsibility of an organisation, comprising a data storage system for storing social responsibility data connected to the organisation, may be one of the embodiments of the current disclosure. This disclosure may also comprise other systems. A data processing system that is designed to accept and process the social responsibility data, including data on the organization's environmental impact, community participation, and employee relations, may also be included in embodiments. Moreover, embodiments may comprise a user interface that is capable of showing the social responsibility data that has been processed to a user. In certain embodiments, there may additionally be a set of algorithms included, which are responsible for doing an analysis of the social responsibility data and providing reports for the user.

Fig. 1 , Claims:Claims
I/We Claim:
1. A system for managing the social responsibility of an organization, the system comprising:

a data storage system for storing social responsibility data related to the organization;
a data processing system configured to receive and process the social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations;
a user interface for displaying the processed social responsibility data to a user; and
a set of algorithms for analyzing the social responsibility data and generating reports for the user.

2. The system of claim 1, wherein the data storage system includes a database for storing the social responsibility data in a structured and organized manner.

3. The system of claim 1, wherein the data processing system is configured to receive data from one or more sources, including sensors, surveys, and reports.

4. The system of claim 1, wherein the user interface includes a dashboard for providing an overview of the organization's social responsibility performance.

5. The system of claim 1, wherein the set of algorithms includes machine learning algorithms for identifying trends and making predictions based on the social responsibility data.

6. A method for managing the social responsibility of an organization, the method comprising the steps of:
collecting social responsibility data related to the organization;
processing the social responsibility data using a data processing system to generate processed social responsibility data, including data on the organization's environmental impact, community engagement, and employee relations;
analyzing the processed social responsibility data using a set of algorithms to generate reports for a user; and
displaying the reports on a user interface.

7. The method of claim 6, wherein the step of collecting social responsibility data includes receiving data from one or more sources, including sensors, surveys, and reports.

8. The method of claim 6, wherein the step of processing the social responsibility data includes storing the social responsibility data in a structured and organized manner in a data storage system.

9. The method of claim 6, wherein the step of analyzing the processed social responsibility data includes using machine learning algorithms to identify trends and make predictions based on the social responsibility data.