The present article investigates the influence of compensation plans – financial as well as nonfinancial and performance feedback – with respect to the retention of the employee considering the retail sector in India from viewpoint of employees. A structured questionnaire was employed to gather information from the Hyderabad city and Greater Hyderabad Municipal Corporation (GHMC) consisting of 571 retail outlet employees as sample respondents. The collected data was analyzed using structural equation modeling (SEM) to assess the hypothecated relationship among financial that is, extrinsic rewards (FR), non-financial that is, intrinsic reward (NFR), performance feedback (PF), and employee retention (ER). The findings reveal that intrinsic and extrinsic benefits portray an important role in performance feedback (PF) which in turn helps the organization to retain their employees for years to come. The study offers academia and practitioner a thoughtful and insightful understanding of some of the important aspects of keeping skillful and talented performers and ultimately increasing productivity and providing a competitive advantage to the organization.

-

The present book chapter contributes to examining the intersection of gaming and sustainable marketing, focusing on how gaming strategies can be effectively used to foster consumer behavior that is environmentally friendly and engaging, and is exploring new ways to encourage consumers to adopt sustainable practices. Utilizing aspects of game technology and design to encourage and engage users, gamification has emerged as a viable strategy for inducing behavioral change in a variety of contexts. This chapter reviews the conceptual framework, foundation, and application of game theory to sustainable marketing.This chapter provides insights into effective game plans that promote sustainable consumer practices such as recycling, energy conservation, and responsible consumption. Furthermore, the chapter discusses the various challenges and ethical concerns associated with sustainable marketing games. Finally, the chapter attempts to raise awareness of how games can be used as a means to advance sustainability goals and create a more environmentally conscious society.

The purpose of this chapter is to examine the relationship between blockchain technology and sustainable development, aiming as to how blockchain technology (BT) could be effectively implemented to achieve different sustainable development goals (SDGs). Tokenization is one of the methods of blockchain technology which seems to be viable strategy to overcome the bottlenecks in terms of economic, social and governance (ESG) by engagement and participation of different stakeholders such as customers, businesses and government. The present chapter thoroughly reviews the fundamental and conceptual framework as well as implementation of blockchain technology to comprehend sustainable development goals (SDGs). This chapter provides understanding of functional approach promoting green practices viz. energy conservation, circular economy, recycling etc. It also investigates various problems connected with the implementation of blockchain technology and sustainable development. Furthermore, the study strives to create awareness amongst stakeholders includes industry, academia, researcher and policymakers as in what manners blockchain technology is beneficial in attaining sustainable development goals (SDGs) and build more ecologically friendly conscious society.

In recent years, there has been an enormous increase in the number of companies and of customers for almost every industry. The increment in the number of companies has also provided the choices to the customer but in turn it has also created new challenges. Thus, the companies must work not only to improve their products or services but to sustain customers in the competitive world. Churn prediction is the prediction of customers who are at a potential risk of discontinuing the product or service of the company. Thus, in today’s competitive world, churn prediction is more relevant. In the present work, we have employed various machine learning models for an early prediction of churns, to mitigate the potential risk of losing the customers. The authors have chosen ensemble models for this task. Finally, the models are trained on the dataset. The results for various models are compared using accuracy, precision, recall, and F1 score. Moreover, it is also observed that for our dataset XGBoost outperformed over other models

The study aims to provide a scientometric review of the literature based on ESG for the period starting from 2011 to 2022. The objective is to identify annual trends, research trajectories, geographical spread, trending research areas, and significant research outlets in the field of ESG. The data was collected from the SCOPUS database using relevant keywords. The VOSviewer (version 1.6.18) and R-Studio were used to analyze the selected 380 publications. The result depicts that from 2015 to 2022, there is a steady upward trend, with the year 2021 seeing a significant rise in publications. The study highlights that the US, UK, and Australia are among the top three contributing countries. Keywords analysis signifies fields such as sustainable development, corporate social responsibilities, and ESG investing, which are currently focused research areas based on ESG. The research might provide the researchers interested in this area with an extensive wealth of information to perform future investigations on ESG. The study adopted a scientometric approach to map out the research focus in recent ESG-related studies. The study gives significant insights into past and present trends of ESG-based studies and provides a roadmap for future studies