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The introductory paper begins with the issue about the relevance of research in management. It emphasizes the need for scholars to adopt methodologies best suited to the research problem of their choice. This paper contains sections on the nature of management research, dominant research paradigms, the methodological domain, quantitative versus qualitative research, and triangulation in using multiple methodologies. The paper provides a background to the purpose of the book and summarizes in brief the purpose of each the subsequent papers.

Testing of hypothesis, also known as sample-testing, is a common feature with almost every social and management research. We draw conclusion on population (characteristics) based on available sample information, following certain statistical principles. This paper will introduce the fundamental concepts with suitable examples, mostly in Indian context. This section is expected to help scholar readers, to learn, how hypothesis tests for differences means (or proportions) take different forms, depending on whether the samples are large or small; and also to appreciate hypothesis-testing techniques, on how it could be used in similar decision-making situations, elsewhere.

This chapter introduces four research methods that are not covered in the previous chapters. They are (1) non-parametric statistics, (2) interpretive structural modeling, (3) analytic hierarchy process, and (4) data envelopment analysis. The methods are discussed with examples. The discussion, however, is introductory; so we urge the reader to go through the pertinent references for details.

Nowadays, structural equation modeling is a buzz word in the arena of research in management, social sciences, and other equivalent fields. Although the theoretical base bears its significance in building the measurement and structural models, assessing different goodness-of-fit indices (GOFI) equally retains its importance for model validity and conformity. There are various alternative GOFI available for the researchers and the threshold values of each differ. The present paper discussed all the well-accepted and reported GOFI and their threshold value, which will be a great help to researchers and practitioners who use structural equation modeling in research. The author has also presented the different GOF values and validity results of her current research carried out in an Indian power transmission organization in Odisha, India.

Purpose of this study was to understand intention of tourists to visit a destination by exploring factors related to destination image and self-congruity of tourists with destination image. A quantitative survey-based methodology was employed for gathering data. Study used a convenience sample of 225 students and faculty members from a leading university in India. Regression analysis was carried out for testing the main effect and moderation impact. The results revealed that cognitive destination image and self-congruity had a direct impact on destination image. However, the results did not establish a moderating effect of self-congruity on relationship between destination image and return intention. The study findings have direct implication for destination marketing managers for drafting a positioning strategy for their destinations.

Socio-economic development is multi-faceted. The major facets consist of: income, level of education, level of health, quality of infrastructure, sex ratio, level of employment, industrial and agricultural development, and so on. In India, the progress of socio-economic development among the states is not even. This study makes a modest attempt to measure the socio-economic development among the states of India and highlight the disparity among them. In the same line of thought, a composite index based on several facets of socio-economic development has been developed in a holistic manner and the states are arranged accordingly based on the indices. Instead of studying the disparity of a particular facet across states, a composite index is a better measure. This study has utilized the varied dimensions of socio-economic development and a taxonomic approach to construct a composite index without making any assumptions on the raw data. The findings of the study also support the general perception of large disparity in socio-economic development status of the states in India.

This chapter explains the “reason” and “procedure” of research. It also pertains to the substances of undertaking research including hypothesis building, conceptual framework, and theory advancement. It is intended to serve as a fundamental resource to equip the researcher with a manual for research.

Current paper is an overview of qualitative research. It starts with discussing meaning of research and links it with a framework of experiential learning. Complexity of socio-political environment can be captured with methodologies appropriate to capture dynamism and intricacy of human life. Qualitative research is a process of capturing lived-in experiences of individuals, groups, and society. It is an umbrella concept which involves variety of methods of data collection such as interviews, observations, focused group discussions, projective tools, drawings, narratives, biographies, videos, and anything which helps to understand world of participants. Researcher is an instrument of data collection and plays a crucial role in collecting data. Main steps and key characteristics of qualitative research are covered in this paper. Reader would develop appreciation for methodiness in qualitative research. Quality of qualitative research is explained referring to aspects related to rigor, worthiness of topic in interpretivist research. This paper presents challenges of qualitative research in terms of thinking of qualitative research, doing of qualitative research, and trustworthiness.