Table Of ContentAdvances 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
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and by Routledge
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© 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
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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
