Abstract
Corporate social responsibility (CSR) represents a form of international private business self-regulation that contributes to the social aims of a charitable, activist, or philanthropic nature through helping ethically based practices. The benefits from CSR like generating better public image, enhance in community support, enhance in market share, enhance in the satisfaction of the consumer, enhance in the exports, offering better quality services and products, and enhance in the productivity is not considered as the perception level consumers. This paper analyzes the effect of CSR activities on the fast moving consumer goods (FMCG) industries on the basis of the retention of the consumers of FMCG products. Initially, a questionnaire is prepared that consists of five categories. Each category is composed of more than ten questions. The information related to the questionnaire is obtained in the view of the professional students from Odisha. The customers are requested to fill the exact information as much as possible. Next, a higher-order statistical analysis is considered for realizing the behaviour of the categories. Additionally, the usage of deep learning called Optimized RNN (O-RNN) is used for predicting the customer retention in maintaining the CSR on FMCG industries. The improvement in the traditional RNN is done by optimizing the hidden neurons by the improved form of Sea Lion Optimization Algorithm (slno) called Modified slno (M-slno) with the intention of minimizing the error among the actual and the predicted outcome, hence it is called as O-RNN. The retention of the customers regarding the effect of CSR activities on FMCG companies and the benefits from CSR is investigated using the O-RNN prediction analysis against several traditional deep learning models as well as different statistical measures.
Highlights
The traditional organization makes the employment and wealth, even if the society offers a peaceful environment for flourishing the business [1]
This work is new to the research field and the descriptive observations about contexts into theoretical claims about the concepts are created by collecting several responses from different industries. It is very innovative one and we suggested this model by introducing a novel method to analyze the customer’s perception regarding the Corporate social responsibility (CSR) impact on the fast moving consumer goods (FMCG) companies based on new artificial intelligent models [18, 19]
This paper has investigated the impact of CSR activities on the FMCG based on the customer retention of FMCG products
Summary
The traditional organization makes the employment and wealth, even if the society offers a peaceful environment for flourishing the business [1]. There exist numerous tasks that the organization has to perform for the society. These are composed of social, environmental, political, and financial tasks. These tasks are attained by the organization by implementing several procedures and policies via distinct. Various terms can be employed for the purpose of interchanging with CSR [7] These terms are the corporate responsibility, sustainability, corporate accountability, corporate citizenship, and business ethics. CSR suffers from the issues that are linked to the workplace, market place, human rights, governance, environment, community investment, and business ethics. The stakeholder of an organization is composed of investors, employees, consumers, insurers, lenders, regulators, intergovernmental bodies, business partners, non-governmental organizations, and shareholders. A socially responsible organization or enterprise cares its customers and cares nation, local communities, dealers, suppliers, and employees [12]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
