Methodological Issues in Management Research

Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead

EDITED BY

RABI N. SUBUDHI

KIIT University Bhubaneswar, India

SUMITA MISHRA

KIIT University Bhubaneswar, India

United Kingdom – North America – Japan – India – Malaysia – China

Emerald Publishing Limited

Howard House, Wagon Lane, Bingley BD16 1WA, UK

First edition 2020

Copyright © 2020 Emerald Publishing Limited

Reprints and permissions service

Contact: permissions@emeraldinsight.com

No part of this book may be reproduced, stored in a retrieval system, transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without either the prior written permission of the publisher or a licence permitting restricted copying issued in the UK by The Copyright Licensing Agency and in the USA by The Copyright Clearance Center. Any opinions expressed in the chapters are those of the authors. Whilst Emerald makes every effort to ensure the quality and accuracy of its content, Emerald makes no representation implied or otherwise, as to the chapters’ suitability and application and disclaims any warranties, express or implied, to their use.

British Library Cataloguing in Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-1-78973-974-9 (Print)

ISBN: 978-1-78973-973-2 (Online)

ISBN: 978-1-78973-975-6 (Epub)

Dedicated to

Two lovely daughters,

SRUTI & SHREYA

(daughters of Madhumati & Rabi and Sumita & Susruta, respectively)

List of Tables, Figures and Exhibitsix
List of Boxesxiii
List of Contributorsxv
Foreword: Prof. Rajendra Nargundkarxvii
Acknowledgmentsxix
Chapter 1 The Methodological Domain in Management Research 
Sumita Mishra and Rabi N. Subudhi1
Chapter 2 Reviewing the Literature 
Sumita Mishra11
Chapter 3 Purpose and Process of Research 
Shikta Singh27
Chapter 4 Research Design 
Fakir M. Sahoo37
Chapter 5 Questionnaire Design 
Sudhakar Patra53
Chapter 6 Qualitative Interviewing 
Upasana A. Agarwal79
Chapter 7 Focus Group Discussions 
Vijayalakshmi C. Balasubramaniam93
Chapter 8 Quantitative Data Analysis 
Punyaslok Dhall109
Chapter 9 Testing of Hypothesis: Concepts and Applications 
Rabi N. Subudhi127
Chapter 10 Nature of Qualitative Research 
Richa Awasthy145
Chapter 11 Case Study Research 
Srilata Patnaik and Satyendra C. Pandey163
Chapter 12 Grounded Theory: A Method of Research Inquiry 
Sunil Kumar Sharma, Atri Sengupta and Subhash Chandra Panja181
Chapter 13 Supplementary Research Methods: DEA, ISM, AHP and Non-Parametric Statistics 
Pratap K. J. Mohapatra203
Chapter 14 Special Section: Sample Research Papers247
Chapter 14.1 Working with Second-order Construct in Measurement Model: An Illustration Using Empirical Data 
Subhra Pattnaik249
Chapter 14.2 Role of Self-congruity in Predicting Travel Intention 
Joydeep Biswas and R. V. Shabbirhusain261
Chapter 14.3 Structural Equation Modeling: Threshold Criteria for Assessing Model Fit 
Malabika Sahoo269
Chapter 14.4 Socio-economic Development Disparity in India: An Inter-state Analysis 
Ayushi Raichoudhury277
Chapter 14.5 Stages and Methods for Cleaning Large Secondary Data Using R 
Manoj Kumar Jena and Brajaballav Kar285
Appendix: Statistical Tables305
Index315
Exhibit 3.1.Flowchart of Steps for Framing a Research Question in Form of an Illustration33
Exhibit 4.1.A Broad Classification of Designs38
Exhibit 4.2.Longitudinal versus Cross-sectional Design39
Exhibit 4.3.Sequential Design40
Exhibit 4.4.Longitudinal, Cross-section, and Sequential Design41
Exhibit 4.5.Pretest–Posttest Designs50
Table 6.1.Strengths of Qualitative Research Interviews80
Table 6.2.Example of a Structured Interview Question81
Table 6.3.Types of Interviews82
Table 6.4.Seven Stages of an Interview83
Table 6.5.Biased and Unbiased Questions87
Table 6.6.Quality of Questions. Question Options88
Table 6.7.Active Listening89
Table 6.8.Effective Probes90
Table 7.1.Stages of FGD97
Fig. 7.1.FGD Process: A Pictogram100
Table 8.1.Gender and Elective115
Table 8.2.Gender by Elective116
Table 8.3.Doctoral Research abroad by Age116
Table 8.4.Doctoral Research abroad by Age and Gender117
Fig. 9.1.Classification of Tests129
Table 9.1.Decision Table130
Table 9.2.ANOVA Table132
Table 9.3.Type of tests133
Fig. 9.2.One tailed tests (left and right) and two-tailed tests (of mean difference tests). (a) Right tailed test, (b) left tailed tests, and (c) two-tailed tests134
Table 9.4.Student performance scores139
Fig. 10.1.Kolb’s Experiential Learning Cycle147
Table 11.1.Case Study Elements, Descriptors, and Focus of Researcher165
Table 11.2.Framework for Assessing Quality in Qualitative Case Study Research175
Fig. 12.1.Analytical Process in GT Research186
Table 12.1.Examples of Glaser’s Coding Families: Concepts and Theoretical Codes188
Fig. 12.2.Framework for Axial Coding191
Table 13.1.Empirical Cumulative Probabilities for the Given Data210
Table 13.2.Rank Differences for the Subjects214
Table 13.3.Transformed Form of Presentation of Data on Ranks and Scores216
Table 13.4.Ranks for Solution Options218
Fig. 13.1.Two Forms of Structural Self-interaction Matrix221
Table 13.5.The Initial Reachability Matrix222
Fig. 13.2.Digraph for the Reachability Matrix223
Table 13.6.Level 1 Partitioning224
Table 13.7.Level 2 Partitioning224
Table 13.8.Level 3 Partitioning224
Fig. 13.3.The Factor Hierarchy225
Fig. 13.4.Location of Factors in a Driving Power-dependence Plane225
Table 13.9.Priority Weights of Criteria and Scores for Alternatives227
Fig. 13.5.Hierarchy of Goal, Criteria, and Alternatives228
Table 13.10.The Fundamental Scale228
Table 13.11.Priority Weights for the Criteria230
Table 13.12.Weighted Average Scores for the Alternatives231
Fig. 13.6.Production Functions for Constant and Variable Returns to Scale235
Fig. 13.7.Production Possibility Set and Efficient Frontiers236
Table 13.13.Input–Output Data for Five Units238
Table 13.14.The Optimal Solutions239
Fig. 13.8.CCR Efficiency for Single-Input–Single-Output Units240
Table 13.15.Data for Five Single Input-Single Output Units240
Table 13.16.Input Consumed for Unit Output240
Fig. 13.9.CCR Efficiency for Two-Input–Single-Output Units241
Table 13.17.Data for Five Single-Input–Two-Output Units241
Table 13.18.Output Produced with Unit Input241
Fig. 13.10.CCR Efficiency for Single-Input–Two-Output Units242
Fig. 13.11.BCC Efficiency for Single-Input–Single-Output Units246
Table 14.1.1.Mean, SD, Correlations, and Reliabilities of Study Constructs251
Table 14.1.2.KMO and Bartlett’s Test of Sphericity252
Table 14.1.3.Final Pattern Matrix Obtained through EFA253
Table 14.1.4.Model-fit Indices and Thresholds Used for this Analysis254
Fig. 14.1.1.CFA Model 2: Measurement Model after Deletion of Items255
Table 14.1.5.Scale Reliabilities, AVE, and Inter-construct Correlations256
Fig. 14.1.2.CFA Model 5: EmpPerf as a Second-order Construct Drawing on TP, IPF, and JD258
Fig. 14.2.1.The Hypothesized Model263
Table 14.2.1.Demographic Profile of Respondents265
Table 14.2.2.List of Removed Items265
Table 14.2.3.Regression Results266
Fig. 14.3.1.Types of Fit Evaluation271
Table 14.3.1.Recommended Values of Different GOF Indices273
Table 14.3.2.Test of Convergent and Discriminant Validity274
Table 14.3.3.GOF Measures of the Research Data275
Table 14.4.1.Socio-economic Development Indices (SEDI) of India280
Table 14.4.2.Socio-economic Development of Major States of India281
Table 14.4.3.Socio-economic Development Indices across Rural–Urban Divide282
Fig. 14.5.1.Descriptive Statistics from R Output290
Fig. 14.5.2.Scatter Plot of Data and Possible Outliers291
Fig. 14.5.3.Displaying the Relationship between Different Variables under a Data Set292
Fig. 14.5.4.Density Plot to Check Normality of Average Income Data for All the Companies292
Fig. 14.5.5.Distribution of Residuals from Regression Analysis and Checking Normality293
Fig. 14.5.6.Schematic Representation of Data Cleaning and Transformation Steps294
Box 2.1Meta-analysis in Training Motivation by Colquitt, Lepine, and Noe (2000).15
Box 2.2Integrative Literature Review on Job Crafting and Performance by Lee and Lee (2018).17
Box 2.3Reference Management Software.21
Box 3.1XYZ Industries Limited Case.29
Box 3.2Example of Descriptive Research.30
Box 3.3Case Example – Explanatory Research.31
Box 3.4A Few Examples of Research Topics on Globalization.32
Box 9.1Sampling Methods.143
Box 10.1Definitions of Qualitative Research.149
Box 12.1Memo Writings.194
Box 12.2Category Card.196
Atri SenguptaIIM Sambalpur, Sambalpur
Ayushi RaichoudhuryKIIT University, India
Brajaballav KarKIIT University, India
Fakir M. SahooXIM Xavier University, India
Joydeep BiswasKIIT University, India
Malabika SahooKIIT University, India
Manoj K. JenaKIIT University, India
Pratap K. J. MohapatraIIT India
Punyaslok DhallXIMB, India
Rabi N. SubudhiKIIT University, India
Richa AwasthyAmbedkar University, Delhi
R. V. ShabbirhusainIIM Raipur, India
Satyendra C. PandeyInstitute of Rural Management Anand (IRMA)
Shikta SinghKIIT University, India
Srilata PatnaikKSRM KIIT University, India
Subhash Chandra PanjaJadavpur University, India
Subhra PattnaikXavier School of HRM Xavier University, India
Sudhakar PatraPG Dept of Economics Berhampur University, Brahmapur, India
Sumita MishraKIIT University, India
Sunil SharmaJadavpur University, India
Upasana A. AgarwalNITIE, India
Vijayalakshmi C. BalasubramaniamIFMR Graduate School of Business, Krea University, India

Prof. Rajendra Nargundkar

I have had the pleasure of knowing the editors for a decade now, and their enthusiasm toward Research Methods training has been remarkable. I have also been a small contributor at one of the workshops organized by the Kalinga Institute of Industrial Technology (KIIT) School of Management, KIIT-Bhubaneswar, for faculty members.

In a way, this enthusiasm toward research methods is also a hallmark of what a doctoral student or a research-oriented faculty member needs. These are the two major segments that this book will serve the most, I believe.

Many research students are confused, and rightly so, because the most difficult part of research is not the data collection or analysis, but what precedes these – the formulation of a problem, or the conception and operationalization of constructs, variables, relationships, and so on, in a form that is testable.

Our educational system under-emphasizes formulation and thinking about potential hypotheses. Both quantitative and qualitative methods are little – understood for their optimal and adequate use in research – more so, the qualitative methods, after the proliferation of software that addressed quantitative research analysis.

I am glad that the authors have taken up these issues, as a challenge and elaborated on each one of these in a chapter or more. Particularly, the grounded theory approach and mixed methods research has not been covered adequately as options in doing research, and these are fast gaining currency in our changing world.

The purpose of research is also an important topic. In academic research, the purpose may be quite different from that in commercial research (e.g., marketing research). Covering this in detail is, I think, a very good idea.

Similarly, literature review remains one of the least-understood areas in academic research for a novice. Many Ph.D. students struggle to do a literature review. The many facets of why it should be a major component of doctoral research or in general, publishable research, needs elaborate coverage, and I am happy to see a chapter dedicated to the topic.

Hypothesis formulation is another topic that needs different treatment when doing academic research. A testable hypothesis is the heart of empirical research, but formulating it and testing it later, is an art that is hard to learn, and even harder to teach. This is where literature already published comes in, by helping identify gaps in work already done, and helping the reader (better) understand what hypotheses are testable, by using appropriate methods.

Appropriate methods are of course, the crux to solving any research problem, assuming it is formulated correctly. Whether they are qualitative, quantitative, or a mix of the two, they determine the credibility of your research findings.

Given the variety of topics, it is understandable that various people have contributed to the making of this book. I think it is timely that a contextual book is being published. It is my feeling that many doctoral students and faculty members will be thankful to the editors, and all other contributors, of this wonderful book for making this effort.

I wish the publishers and all the authors all success.

Dr Rajendra Nargundkar, who did his Ph.D. in Management from Clemson University, USA, in 1989, is a well-known author in the field of Marketing Research, with some best-selling books, to his credit. He has served many leading b-schools like IIM Lucknow, IIM Indore, XIM Bhubaneswar, IIM Kozhikode, Lander University, SC, USA, and Clemson University, SC, USA.

Research Methodology (RM), as a paper, has been our passion, not the core subjects, where we are first known for. RM is the paper, where you mostly interact with very senior people, for their doctoral level course work and subsequent research stages, thereby getting a chance to learn new things, new insights with every single research scholar, with every research topic, which has to be unique, as desired. The passion and challenges often required consulting and taking help from fellow experts in this interesting field of RM, informally and also formally, in the form of “Workshops on Research Methodology,” conducted by us, every year, at our institute. During such interactions and deliberations among scholars and invited experts, there was a common feeling and agreement, on the necessity of having a compilation, like the present book, keeping in view the specific need of Indian scholars in the field of Management. This paved the way for this RM-Book project.

We thank all our fellow colleagues, from the field of RM, and our beloved doctoral scholars, for inspiring us to go for such a book. We both fondly remember many students of our RM-paper, who could successfully convert their mini-projects (of RM-paper) to publish as research articles in reputed journals.

We are highly indebted and thankful to all our chapter contributors, for preparing contents for specific chapters allotted to them, and completing it within stipulated time. They are the main architect of this book.

We are thankful to all the anonymous reviewers of this book (proposal), who were unanimous in accepting the importance and strength of this work.

We are very much thankful to the entire editorial and publication team members of Emerald Publications, and particularly the constant support of Ms. Sophie Darling is really unforgettable.

We, both the editors, are indebted to our respective family members, for their constant support and encouragements, which are the main ingredients for successful completion.

Lastly, despite our best possible efforts, there might be some deficiency or inadvertent errors in this edited book. We shall appreciate and welcome suggestions and feedback, on possible improvement of this book. We sincerely hope to come out with updated and extended version this book, and shall try to incorporate such suggestion.

R. N. Subudhi & Sumita Mishra, Editors