Search results

Introduction: Banking institutions are instrumental for lending support and steering the economy in the planned direction to achieve long-term goals. Sustainable development has become the focal point of new policies so that the economies attain inclusive growth. This needs substantial funding to accelerate industrial activity; hence, banks have to play a dominant role in helping such plans succeed. Banks need to look beyond their current framework and play a proactive role in promoting sectors focussed on sustainable development. Banks can prioritise lending to green initiatives to reduce carbon footprint, which will provide impetus to the goals laid out in the COP 26 United Nations (UN) Climate Change Conference. The chapter aims to identify the gap in investment for sustainable development and the funding support required from banks to help India achieve the desired sustainable goals. The chapter recommends that banks increase their green financing to provide the impetus for creating sustainable infrastructure.

Purpose: The present study aims to understand the banking sector’s importance in developing sustainable economic growth through lending practices. The study recommends certain practices for increasing focussed lending towards sustainable projects.

Methodology: In this study, the authors developed prepositions based on a literature review. Significant issues were raised based on the lending policies per the guidelines of Reserve Bank of India (RBI), and a solution was proposed by preparing a conceptual model.

Findings: The study offers a lending technique that can assist the financial sector in supporting sustainable economic growth.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

This case study attempts to sensitize the impact of restructuring on the organization’s employer brand. The students shall learn to appreciate the criticality of maintaining a balance between being an employee-centric organization and building a sustainable business model, to analyze the alternative people management strategies in emerging start-ups.

This case study illustrates the innovative human resource (HR) policies adopted by the start-up Meesho. Meesho was started as “Fashnear” by two Indian Institute of Technology graduates Sanjeev Barnwal and Vidit Aatrey in the year 2015, with the headquarters located in Bengaluru, Karnataka, India. It was a social commerce platform wherein the local apparel sellers or manufacturers could register themselves on the app and sell their products online to nearby consumers and the product would be delivered to their homes. Later, it was renamed Meesho (Meri E-Shop) with an improved business model. The innovative people-centric policies got Meesho recognition as one of the most employee-friendly start-ups and an innovative employer. However, later as part of the restructuring exercise, it had to lay off employees, which had a counter impact on its reputation and image as a desirable employer. This case study captures the dilemma faced by start-ups like Meesho who were in the process of sustaining their growth and optimizing their workforce and, at the same time, have to manage their employer brand in the process.

This case study can be used at the postgraduate level of management and in executive management programs.

Teaching notes are available for educators only.

CSS6: Human resource management.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.