Prelims
Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead
ISBN: 978-1-78973-974-9, eISBN: 978-1-78973-973-2
Publication date: 11 November 2019
Citation
(2019), "Prelims", Subudhi, R.N. and Mishra, S. (Ed.) Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead, Emerald Publishing Limited, Leeds, pp. i-xix. https://doi.org/10.1108/978-1-78973-973-220191020
Publisher
:Emerald Publishing Limited
Copyright © 2020 Emerald Publishing Limited
Half Title
Methodological Issues in Management Research
Title Page
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
Copyright Page
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First edition 2020
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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)
Dedication Page
Dedicated to
Two lovely daughters,
SRUTI & SHREYA
(daughters of Madhumati & Rabi and Sumita & Susruta, respectively)
Contents
List of Tables, Figures and Exhibits | ix |
List of Boxes | xiii |
List of Contributors | xv |
Foreword: Prof. Rajendra Nargundkar | xvii |
Acknowledgments | xix |
Chapter 1 The Methodological Domain in Management Research | |
Sumita Mishra and Rabi N. Subudhi | 1 |
Chapter 2 Reviewing the Literature | |
Sumita Mishra | 11 |
Chapter 3 Purpose and Process of Research | |
Shikta Singh | 27 |
Chapter 4 Research Design | |
Fakir M. Sahoo | 37 |
Chapter 5 Questionnaire Design | |
Sudhakar Patra | 53 |
Chapter 6 Qualitative Interviewing | |
Upasana A. Agarwal | 79 |
Chapter 7 Focus Group Discussions | |
Vijayalakshmi C. Balasubramaniam | 93 |
Chapter 8 Quantitative Data Analysis | |
Punyaslok Dhall | 109 |
Chapter 9 Testing of Hypothesis: Concepts and Applications | |
Rabi N. Subudhi | 127 |
Chapter 10 Nature of Qualitative Research | |
Richa Awasthy | 145 |
Chapter 11 Case Study Research | |
Srilata Patnaik and Satyendra C. Pandey | 163 |
Chapter 12 Grounded Theory: A Method of Research Inquiry | |
Sunil Kumar Sharma, Atri Sengupta and Subhash Chandra Panja | 181 |
Chapter 13 Supplementary Research Methods: DEA, ISM, AHP and Non-Parametric Statistics | |
Pratap K. J. Mohapatra | 203 |
Chapter 14 Special Section: Sample Research Papers | 247 |
Chapter 14.1 Working with Second-order Construct in Measurement Model: An Illustration Using Empirical Data | |
Subhra Pattnaik | 249 |
Chapter 14.2 Role of Self-congruity in Predicting Travel Intention | |
Joydeep Biswas and R. V. Shabbirhusain | 261 |
Chapter 14.3 Structural Equation Modeling: Threshold Criteria for Assessing Model Fit | |
Malabika Sahoo | 269 |
Chapter 14.4 Socio-economic Development Disparity in India: An Inter-state Analysis | |
Ayushi Raichoudhury | 277 |
Chapter 14.5 Stages and Methods for Cleaning Large Secondary Data Using R | |
Manoj Kumar Jena and Brajaballav Kar | 285 |
Appendix: Statistical Tables | 305 |
Index | 315 |
List of Tables, Figures and Exhibits
Chapter 3
Exhibit 3.1. | Flowchart of Steps for Framing a Research Question in Form of an Illustration | 33 |
Chapter 4
Exhibit 4.1. | A Broad Classification of Designs | 38 |
Exhibit 4.2. | Longitudinal versus Cross-sectional Design | 39 |
Exhibit 4.3. | Sequential Design | 40 |
Exhibit 4.4. | Longitudinal, Cross-section, and Sequential Design | 41 |
Exhibit 4.5. | Pretest–Posttest Designs | 50 |
Chapter 6
Table 6.1. | Strengths of Qualitative Research Interviews | 80 |
Table 6.2. | Example of a Structured Interview Question | 81 |
Table 6.3. | Types of Interviews | 82 |
Table 6.4. | Seven Stages of an Interview | 83 |
Table 6.5. | Biased and Unbiased Questions | 87 |
Table 6.6. | Quality of Questions. Question Options | 88 |
Table 6.7. | Active Listening | 89 |
Table 6.8. | Effective Probes | 90 |
Chapter 7
Table 7.1. | Stages of FGD | 97 |
Fig. 7.1. | FGD Process: A Pictogram | 100 |
Chapter 8
Table 8.1. | Gender and Elective | 115 |
Table 8.2. | Gender by Elective | 116 |
Table 8.3. | Doctoral Research abroad by Age | 116 |
Table 8.4. | Doctoral Research abroad by Age and Gender | 117 |
Chapter 9
Fig. 9.1. | Classification of Tests | 129 |
Table 9.1. | Decision Table | 130 |
Table 9.2. | ANOVA Table | 132 |
Table 9.3. | Type of tests | 133 |
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 tests | 134 |
Table 9.4. | Student performance scores | 139 |
Chapter 10
Fig. 10.1. | Kolb’s Experiential Learning Cycle | 147 |
Chapter 11
Table 11.1. | Case Study Elements, Descriptors, and Focus of Researcher | 165 |
Table 11.2. | Framework for Assessing Quality in Qualitative Case Study Research | 175 |
Chapter 12
Fig. 12.1. | Analytical Process in GT Research | 186 |
Table 12.1. | Examples of Glaser’s Coding Families: Concepts and Theoretical Codes | 188 |
Fig. 12.2. | Framework for Axial Coding | 191 |
Chapter 13
Table 13.1. | Empirical Cumulative Probabilities for the Given Data | 210 |
Table 13.2. | Rank Differences for the Subjects | 214 |
Table 13.3. | Transformed Form of Presentation of Data on Ranks and Scores | 216 |
Table 13.4. | Ranks for Solution Options | 218 |
Fig. 13.1. | Two Forms of Structural Self-interaction Matrix | 221 |
Table 13.5. | The Initial Reachability Matrix | 222 |
Fig. 13.2. | Digraph for the Reachability Matrix | 223 |
Table 13.6. | Level 1 Partitioning | 224 |
Table 13.7. | Level 2 Partitioning | 224 |
Table 13.8. | Level 3 Partitioning | 224 |
Fig. 13.3. | The Factor Hierarchy | 225 |
Fig. 13.4. | Location of Factors in a Driving Power-dependence Plane | 225 |
Table 13.9. | Priority Weights of Criteria and Scores for Alternatives | 227 |
Fig. 13.5. | Hierarchy of Goal, Criteria, and Alternatives | 228 |
Table 13.10. | The Fundamental Scale | 228 |
Table 13.11. | Priority Weights for the Criteria | 230 |
Table 13.12. | Weighted Average Scores for the Alternatives | 231 |
Fig. 13.6. | Production Functions for Constant and Variable Returns to Scale | 235 |
Fig. 13.7. | Production Possibility Set and Efficient Frontiers | 236 |
Table 13.13. | Input–Output Data for Five Units | 238 |
Table 13.14. | The Optimal Solutions | 239 |
Fig. 13.8. | CCR Efficiency for Single-Input–Single-Output Units | 240 |
Table 13.15. | Data for Five Single Input-Single Output Units | 240 |
Table 13.16. | Input Consumed for Unit Output | 240 |
Fig. 13.9. | CCR Efficiency for Two-Input–Single-Output Units | 241 |
Table 13.17. | Data for Five Single-Input–Two-Output Units | 241 |
Table 13.18. | Output Produced with Unit Input | 241 |
Fig. 13.10. | CCR Efficiency for Single-Input–Two-Output Units | 242 |
Fig. 13.11. | BCC Efficiency for Single-Input–Single-Output Units | 246 |
Chapter 14.1
Table 14.1.1. | Mean, SD, Correlations, and Reliabilities of Study Constructs | 251 |
Table 14.1.2. | KMO and Bartlett’s Test of Sphericity | 252 |
Table 14.1.3. | Final Pattern Matrix Obtained through EFA | 253 |
Table 14.1.4. | Model-fit Indices and Thresholds Used for this Analysis | 254 |
Fig. 14.1.1. | CFA Model 2: Measurement Model after Deletion of Items | 255 |
Table 14.1.5. | Scale Reliabilities, AVE, and Inter-construct Correlations | 256 |
Fig. 14.1.2. | CFA Model 5: EmpPerf as a Second-order Construct Drawing on TP, IPF, and JD | 258 |
Chapter 14.2
Fig. 14.2.1. | The Hypothesized Model | 263 |
Table 14.2.1. | Demographic Profile of Respondents | 265 |
Table 14.2.2. | List of Removed Items | 265 |
Table 14.2.3. | Regression Results | 266 |
Chapter 14.3
Fig. 14.3.1. | Types of Fit Evaluation | 271 |
Table 14.3.1. | Recommended Values of Different GOF Indices | 273 |
Table 14.3.2. | Test of Convergent and Discriminant Validity | 274 |
Table 14.3.3. | GOF Measures of the Research Data | 275 |
Chapter 14.4
Table 14.4.1. | Socio-economic Development Indices (SEDI) of India | 280 |
Table 14.4.2. | Socio-economic Development of Major States of India | 281 |
Table 14.4.3. | Socio-economic Development Indices across Rural–Urban Divide | 282 |
Chapter 14.5
Fig. 14.5.1. | Descriptive Statistics from R Output | 290 |
Fig. 14.5.2. | Scatter Plot of Data and Possible Outliers | 291 |
Fig. 14.5.3. | Displaying the Relationship between Different Variables under a Data Set | 292 |
Fig. 14.5.4. | Density Plot to Check Normality of Average Income Data for All the Companies | 292 |
Fig. 14.5.5. | Distribution of Residuals from Regression Analysis and Checking Normality | 293 |
Fig. 14.5.6. | Schematic Representation of Data Cleaning and Transformation Steps | 294 |
List of Boxes
Box 2.1 | Meta-analysis in Training Motivation by Colquitt, Lepine, and Noe (2000). | 15 |
Box 2.2 | Integrative Literature Review on Job Crafting and Performance by Lee and Lee (2018). | 17 |
Box 2.3 | Reference Management Software. | 21 |
Box 3.1 | XYZ Industries Limited Case. | 29 |
Box 3.2 | Example of Descriptive Research. | 30 |
Box 3.3 | Case Example – Explanatory Research. | 31 |
Box 3.4 | A Few Examples of Research Topics on Globalization. | 32 |
Box 9.1 | Sampling Methods. | 143 |
Box 10.1 | Definitions of Qualitative Research. | 149 |
Box 12.1 | Memo Writings. | 194 |
Box 12.2 | Category Card. | 196 |
List of Contributors
Atri Sengupta | IIM Sambalpur, Sambalpur |
Ayushi Raichoudhury | KIIT University, India |
Brajaballav Kar | KIIT University, India |
Fakir M. Sahoo | XIM Xavier University, India |
Joydeep Biswas | KIIT University, India |
Malabika Sahoo | KIIT University, India |
Manoj K. Jena | KIIT University, India |
Pratap K. J. Mohapatra | IIT India |
Punyaslok Dhall | XIMB, India |
Rabi N. Subudhi | KIIT University, India |
Richa Awasthy | Ambedkar University, Delhi |
R. V. Shabbirhusain | IIM Raipur, India |
Satyendra C. Pandey | Institute of Rural Management Anand (IRMA) |
Shikta Singh | KIIT University, India |
Srilata Patnaik | KSRM KIIT University, India |
Subhash Chandra Panja | Jadavpur University, India |
Subhra Pattnaik | Xavier School of HRM Xavier University, India |
Sudhakar Patra | PG Dept of Economics Berhampur University, Brahmapur, India |
Sumita Mishra | KIIT University, India |
Sunil Sharma | Jadavpur University, India |
Upasana A. Agarwal | NITIE, India |
Vijayalakshmi C. Balasubramaniam | IFMR Graduate School of Business, Krea University, India |
Foreword
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.
Acknowledgments
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- Prelims
- Chapter 1: The Methodological Domain in Management Research
- Chapter 2: Reviewing the Literature
- Chapter 3: Purpose and Process of Research
- Chapter 4: Research Design
- Chapter 5: Questionnaire Design
- Chapter 6: Qualitative Interviewing
- Chapter 7: Focus Group Discussions
- Chapter 8: Quantitative Data Analysis
- Chapter 9: Testing of Hypothesis: Concepts and Applications
- Chapter 10: Nature of Qualitative Research
- Chapter 11: Case Study Research
- Chapter 12: Grounded Theory: A Method of Research Inquiry
- Chapter 13: Supplementary Research Methods: DEA, ISM, AHP and Non-Parametric Statistics
- Chapter 14: Special Section: Sample Research Papers
- Chapter 14.1: Working with Second-order Construct in Measurement Model: An Illustration Using Empirical Data
- Chapter 14.2: Role of Self-Congruity in Predicting Travel Intention
- Chapter 14.3: Structural Equation Modeling: Threshold Criteria for Assessing Model Fit
- Chapter 14.4: Socio-economic Development Disparity in India: An Inter-state Analysis
- Chapter 14.5: Stages and Methods for Cleaning Large Secondary Data Using R
- Appendix
- Index