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This paper aims to represent a response to issues raised in the continuing quantitative-qualitative debate by Valtakoski (2020). Which appeared in a Journal of Services Marketing (JSM) special issue on qualitative research in service-oriented research.

The authors performed a content analysis of 1,268 papers that were published in JSM (1987-2019). In addition, the authors had data that is held in JSM’s manuscript central submission portal.

The analysis shows that while there is a dominance of quantitative methods in the journal, the proportion of qualitative papers is growing. During 2014-2019, 83.4 per cent of submitted papers to JSM represented quantitative research and 14 per cent represented qualitative research; however, 75 per cent of accepted papers were quantitative and 25 per cent were qualitative/mixed methods. Thus, the proportion of published qualitative studies are increasing and have a higher chance of receiving an acceptance decision compared to quantitative studies. Additionally, the largest percentage of qualitative papers published in JSM derive from corresponding authors outside of North America.

Service researchers who opt to use inductive research methods, which tend to use qualitative research, will not confront discrimination based solely upon the use of a research methodology among editors or reviewers at JSM.

JSM welcomes qualitative research that has rich practical implications.

This study is one of the first to provide authors with a detailed analysis and responses to the qualitative-quantitative debate in marketing.

This chapter focuses on the empirical research on the resource-based view of the firm (RBV), and its main purpose is to analyse the use of mixed methods in this perspective. The recent advance of the RBV has posed new challenges, and the issue need not be quantitative versus qualitative methods, but rather how to combine the strengths of each in a mixed methods approach. This study carries out a literature review about the use of mixed methods in the RBV and provides an examination of opportunities and challenges associated with the application of mixed methods in order to improve RBV research. Moreover, the chapter seeks to introduce mixed methods research in order to familiarize to strategic management and the RBV scholars about this type of research and its terminology, procedures, designs and purposes.

Discrete event simulation (DES) is widely known to be a quantitative research tool. A simulation modelling process is mainly based on feeding quantitative data into a model to produce quantitative results in a structured sequential process. Qualitative approaches to research take a less structured approach with more of an inclination towards judgmental and expert knowledge rather than hard data. In this paper the authors suggest that DES can be employed as both a qualitative and quantitative research tool. The paper demonstrates how simulation may represent both stances either separately or combined. This is based on the fact that the basic objectives of simulation are either for understanding – which needs a qualitative perspective – or performance measurement – which a needs quantitative perspective. Traditional quantitative and qualitative methods are discussed showing how DES might cope with the weaknesses of both stances. A structure for using DES as a combined research methodology is proposed.

Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.

The purpose of this article is to determine the mix of qualitative and quantitative research published in major marketing journals.

This study involved a content analysis of 1,195 articles published between 1993 and 2002 in three prominent marketing journals.

It was found that 24.80 per cent of articles employed qualitative methods in some form, and 46.28 per cent quantitative research. The main justification provided for use of qualitative methods was the ability to provide more insight or a deeper understanding of the phenomenon under investigation. No increase was seen, however, in the amount (year by year) of qualitative research published over this period. This paper accounts for the continued dominance of quantitative research using linked historical, social and practical arguments.

The issue of method is central to marketing research. Understanding of the actual (as distinct from espoused) orientation of marketing researchers and journals is an aid to researchers intent on publishing their work.

This is the largest content analysis conducted of research in marketing and, in addition to the findings of the analysis, the explanation offered for the dominance of quantitative methods is of value to researchers.

This paper aims to examine mixed methods research (MMR) that appeared in eight tourism and hospitality journals (“Annals of Tourism Research”, “Tourism Management”, “Journal of Travel Research”, “Journal of Sustainable Tourism”, “International Journal of Contemporary Hospitality Management”, “International Journal of Hospitality Management”, “Journal of Hospitality Marketing and Management” and “Journal of Hospitality and Tourism Research”) from 1998 to 2019.

This review paper was a mixed methods design and was conducted in three phases. In the first phase, a content analysis was performed to determine if each article could be classified as non-empirical, qualitative, quantitative or mixed methods. In the second phase, descriptive statistics was used to present the number and characteristics of MMR articles. In the third phase, the contributions of MMR to addressing particular issues in tourism and hospitality studies were investigated.

This study identified 753 mixed methods articles, wherein 482 articles (64%) were published in the chosen tourism publication outlets and 271 (36%) in the chosen hospitality publication outlets. MMR studies having a dominant focus on specific methods (459 articles; 61%) outnumbered those having an equal focus on the qualitative and quantitative parts (294 articles; 39%). In case one method was dominant, this was typically the quantitative. Sequential data collection was prevalent in most of the cases (94.2%). The contributions of MMR to addressing generic and specific research problems were also analyzed.

This is the first comparison of MMR in major tourism and hospitality journals.

The methodological discourse of mixed-methods research offers general procedures to combine quantitative and qualitative methods for investigating complex fields of research such as higher education. However, integrating different methods still poses considerable challenges. To move beyond general recommendations for mixed-methods research, this chapter proposes to discuss methodological issues with respect to a particular research domain. Taking current studies on the transition to higher education as an example, the authors first provide an overview of the potentials and limitations of quantitative and qualitative methods in the research domain. Second, they show the need for a conceptual framework grounded in the theory of the research object to guide the integration of different methods and findings. Finally, an example study that investigates transition with regard to the interplay of the individual student and the institutional context serves to illustrate the guiding role of theory. The framework integrates different theoretical perspectives on transition, informs the selection of the research methods, and defines the nexus of the two strands that constitute the mixed-methods design. As the interplay of individual and context is of concern for teaching and learning in general, the example presented may be fruitful for the wider field of higher education research.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

This paper aims to provide insights into the experiences of and challenges confronting higher degree research students and learning advisors (LAs) regarding data analysis support. The ability to handle data and use numerical evidence systematically is an important transferable skill and essential for the successful completion of a quantitative research thesis.

A combination of qualitative and quantitative data was used, enabling a convergence of findings: the questionnaire and one-on-one advisory sessions feedback gathered information on the student experience, while semi-structured interviews provided data on the LAs’ perspective.

Phenomenographic analysis of interviews revealed many challenges associated with centralised learning support provision. Learning advisors recognised not only different disciplinary needs but also the tensions associated with working centrally and cross-disciplinary. Students identified a need for more practice-orientated training opportunities in data analysis during their postgraduate and doctoral research.

Understanding gained from students’ and LAs’ experiences are essential for changes of university-wide teaching and learning strategies. The collection of “bottom-up” data on the student experience combined with data on learning thresholds provided by faculty and student learning support units would allow a coordinated, institution-wide approach to identified learning needs.

Developing a community of practice concerned with quantitative literacy means that staff with expert knowledge, regardless of discipline affiliation, can provide an environment in which students are able to develop their analytical skills further and can participate in ongoing discussions on real-life research and data analysis issues.

Built environment research consists of cognitive and affective, as well as behavioural, components. Existing built environment research utilises either strong qualitative or, more often, strong quantitative methodologies. Aims to discuss some of the philosophical issues that would be considered when undertaking academic research into the built environment. Considers the available research options or paradigms and suggests ways in which a researcher can make an informed and sensible decision as to how to proceed. The main dimensions of the debate about the relative characteristics and merits of quantitative and qualitative methodology are outlined, developing the argument that the use of a single methodology often fails to explore all of these components. The use of a mixed methods approach is suggested to counteract this weakness and to enhance research into the built environment.