Table Of Content

Advances in Management Research Edited by Debasis Chanda Dean – Academic and Professor, MDI Murshidabad Amrita Sengupta Assistant Professor, MDI Murshidabad Debaditya Mohanti Assistant Professor, MDI Murshidabad Advances in Management Research Emerging Challenges and Trends Edited by Debasis Chanda Amrita Sengupta Debaditya Mohanti New York London First published 2023 by Routledge 4 Park Square, Milton Park, Abingdon, Oxon OX14 4RN and by Routledge 605 Third Avenue, New York, NY 10017 Routledge is an imprint of the Taylor & Francis Group, an Informa business © 2023 Management Development Institute, Murshidabad, India The right of Debasis Chanda, Amrita Sengupta and Debaditya Mohanti to be identified as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or uti lised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. ISBN: 9781032387147 (pbk) ISBN: 9781003366638 (eBook) DOI: 10.4324/9781003366638 Typeset in Sabon LT Std by HBK Digital Contents List of figures vii List of tables x Foreword xii Chapter 1 Progress of financial inclusion in India – A comprehensive index 1 Priyanka Roy and Binoti Patro Chapter 2 Gauging the service quality of App Cabs, post COVID-19: Associating sets of underlying constructs 18 Swapna Datta Khan Chapter 3 An analysis of barriers affecting implementation of humanitarian supply chain management approaches in India 29 Priyanka Saini and Rajat Agrawal Chapter 4 Role of AI on HRM functions: An empirical study on private IT and educational sectors in India 45 Sourabh Jain and Smita Barik Chapter 5 Revolutionising supply chains with Industry 4.0 concepts to attain sustainability 53 Swayam Sampurna Panigrahi and Rajesh K. Singh Chapter 6 Spiritual leadership – A systematic review and call for future research 66 Jerin Jose and Arun Antony Chully Chapter 7 Ownership concentration, institutional ownership and stock return: The case of India 78 Brahmadev Panda Chapter 8 Environmental perspective of workforce across industries 91 Soma Sinha Sarkar and Jhumoor Biswas Chapter 9 Prediction of bankruptcy of Indian manufacturing companies (construction) using Zmijewski model and Altman Z score 116 Nithya Shree and Joseph Durai Selvam vi Contents Chapter 10 Impact of ESG on financial performance: An Indian perspective 143 Vidhi S and Joseph Durai Selvam Chapter 11 Effect of the pandemic on the selection of OTT platforms in the entertainment sector 154 Aarti Singh Chapter 12 An empirical analysis of women entrepreneurship—An insight into opportunities and challenges 181 Simeon S. Simon and Utkarssha Marathe Chapter 13 Day-of-week-effect in stock market of India: A case study of sectoral indices 197 Ruchita Verma, Dhanraj Sharma, and Heavendeep Singh Chapter 14 Variable tradeoff between diversification and volatility on risk-averse approaches to crypto allocation for Indian retail investors 210 Ajay Agarwal Chapter 15 Impact of the COVID-19 pandemic on volatility spillover across sectors in the US markets 229 Syed Ahzam Tariq Chapter 16 A study on risk return relationship of Indian equity markets 237 Sankar Thappa List of figures 3.1 Multilevel hierarchy structure through ISM model of barriers for HSCM in India 40 3.2 MICMAC analysis 41 5.1 Supply chain 4.0 integration with Industry 4.0 63 6.1 Framework of systematic review 69 8.1 Reliability statistics – EAA scale 98 8.2 Reliability statistics – PEB scale 98 8.3 Score of Environmental awareness 98 8.4 Score of environmental attitude 99 8.5 Score of PEB 99 8.6 Hypothesis summary – EAA scale 100 8.7 One-sample Kolmogorov-Smirnov Normal test – EAA scale 100 8.8 One-Sample Kolmogorov-Smirnov Normal Test– EAA scale. – histogram 101 8.9 Hypothesis test summary – PEB scale 101 8.10 One-Sample Kolmogorov-Smirnov Normal test – PEB scale 101 8.11 One-Sample Kolmogorov-Smirnov Normal test – PEB scale – histogram 102 8.12 Cluster analysis – Score environmental awareness and score environmental attitude 102 8.13 ANOVA – Score environmental awareness and score environmental attitude 103 8.14 Cluster analysis – Score PEB 103 8.15 ANOVA – Score PEB 104 8.16 Spearman’s correlation – Score PEB and score environment awareness 104 8.17 Spearman’s correlation – Score PEB and score environment attitude 104 8.18 Correlation – Age, industry ScoreEnvAwareness 105 8.19 Scatter plot –ScoreEnvAttitude by age 106 8.20 Scatter plot – ScoreEnvAttitude by industry 106 8.21 Scatter plot – ScoreEnvAttitude by ScoreEnvAwareness 107 8.22 Collinearity diagnostics 107 8.23 Model summary 107 8.24 ANOVA 108 8.25 Coefficients 108 8.26 Correlations – Age, industry, ScoreHabit, ScoreIntention , ScoreOrgPolicy 109 8.27 Scatter p – ScorePEBNew by age 109 8.28 Scatter plot – ScorePEBNew by industry 110 8.29 Scatter plot – ScorePEBNew by ScoreHabit 110 viii List of figures 8.30 Scatter plot – ScorePEBNew by ScoreIntention 111 8.31 Scatter plot – ScorePEBNew by ScoreOrgPolicy 111 8.32 Collinearity diagnostics 112 8.33 Model summary 112 8.34 ANOVA 112 8.35 Coefficients 112 11.1 Research mode l 159 11.2 Case processing summary 161 11.3 Reliability statics 161 11.4 Scale statics 161 11.5 Age groups hooked to OTT platforms 162 11.6 Demographic distribution of data 162 11.7 Annual income 163 11.8 Respondent distribution as per their earnings 164 11.9 Subscriber of OTT platforms 165 11.10 Frequency of using specific OTT platform 166 11.11 Frequency of spending time on OTT platform before the pandemic 167 11.12 Frequency of spending time on OTT platform after the pandemic 167 11.13 Price satisfaction of OTT Platform 168 11.14 Content satisfaction with respective OTT platforms 169 11.15 Promotional offers impact on customer 169 11.16 Regional content satisfaction 170 11.17 Impact of the mobile application 171 11.18 Performance impact of mobile application 171 11.19 Pre-Pandemic impact of OTT platforms to deal with boredom 172 11.20 Preference of OTT platforms over DTH services 172 11.21 Post Pandemic time impact on OTT platforms 176 11.22 Cause and effect analysis of main factors 178 14.1 Total cryptocurrency market sacapitalisation from April 28th, 2013 to September 29th, 2021. Data courtesy CoinMarketCap 212 14.2 Total cryptocurrency market sacapitalisation (excluding Bitcoin) from April 28th, 2013 to September 29th, 2021. Data courtesy – CoinMarketCap 213 14.3 Individual market cap distribution of top 10 cryptoassets in market cap contribution from April 29th, 2013 to September 29th, 2021. Data courtesy – CoinMarketCap 213 14.4 The above represents the schematic process that takes place whenever a new transaction is added and validated in a blockchain network 216 14.5 Weekly new account addition for Zerodha brokerage firm when compared against the performance of Nifty 50 equity index over the last 18 months of nationwide lockdown 217 14.6 The above depicts the comparative correlation between the addition of new Demat accounts (both NSDL and CDSL) against the performance of the Nifty 50 equity index over the last two decades 218 List of figures ix 14.7 The above depicts the block diagram representing the flow of methodology for implementation of the CoinKart project 221 14.8 The above screenshot is taken from the first dataset that contains a thematic association of the 187 collected cryptocurrencies traded in Indian Crypto Exchanges 223 14.9 Notice in the above screenshot that all the 187 cryptocurrencies are thematically associated with either one or the other category 223 14.10 Notice in the above screenshot of the dataset how certain cryptocurrencies like Ethereum, Elastos, etc. have been categorised with more than two themes 224 14.11 The above screenshot depicts the OHLC crypto datasets that contain OHLC financial data (open price, high price, low price, and close price) along with the crypto market volume, close-ratio, spread, etc 224 14.12 The above screenshot depicts the cell definition and function that allow for mining OHLC crypto data using Yfinance API 225 14.13 The above screenshot depicts the code cell involved in defining the function for calculating daily and mean daily returns for cryptocurrencies in consideration 225 14.14 The above screenshot depicts the code cell involved in defining the function for calculating the covariance matrix 225 14.15 The above represents the plot of returns against volatility for all the randomly sampled 10,000 portfolios with local optimum marked with a red star and the global optimum marked with a green star 226 14.16 The above represents the MVP demonstration of CoinKart Moon 4 on the given pipeline for the user entered budget of Rs. 5000 226 14.17 The above represents the roadmap for Phase 2 227 15.1 (a)–(e) Daily returns before COVID-19 pandemic 231 15.2 (a)–(e) Daily returns during COVID-19 pandemic 232 16.1 The trend in return and risk variables of NSE Nifty for the period 2010–11 through 2019–20 241 16.2 The trend in return and risk variables of BSE SENSEX for the period 2010–2011 through 2019–2020 241 16.3 Comparison of the trend in the returns of BSE SENSEX and NSE NIFTY during the period 2010–2011 through 2019–2020 242