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Mixed methods approaches have become increasingly relevant in social sciences research over the last few decades. Nevertheless, we show that these approaches have rarely been explicitly applied in higher education research. This is somewhat surprising because mixed methods and empirical research into higher education seem to be a perfect match for several reasons: (1) the role of the researcher, which is associated with strong intersections between the research subject and the research object; (2) the research process, which relies on concepts and theories that are borrowed from other research fields; and (3) the research object, which exhibits unclear techniques in teaching and learning, making it difficult to grasp causalities between input and results. Mixed methods approaches provide a suitable methodology to research such topics. Beyond this, potential future developments underlining the particular relevance of mixed methods approaches in higher education are discussed.

Mixed methods research (MMR) represents an alternative methodological approach, combining qualitative and quantitative research styles, and enabling researchers to explore complex phenomena in detail. This chapter provides a critical view of mixed methods research and its application in social science research, with examples from tourism and hospitality used to guide those aiming to undertake mixed-methods research projects. The chapter provides insight into the characteristics of MMR, distinguishing it from a multi-method approach. It also provides a detailed explanation of different MMR designs and highlights the advantages and challenges of adopting a mixed-methods approach. Moreover, the chapter discusses approaches to analysis which are pivotal to MMR design. Finally, the chapter concludes with recommendations for researchers hoping to adopt a mixed-methods approach.

This chapter examines the application of exploratory sequential mixed methods design in the context of small accommodation enterprises (i.e., home-stay). This study, therefore, discusses the exploratory sequential mixed methods of data collection and analysis and provides practical illustrations based on a study of small tourism enterprise sustainability practices in Ghana. The findings demonstrate that mixed methods overcome the weaknesses of a mono-method and offer an in-depth understanding of tourism and hospitality phenomena. In addition to providing a practical guide to emerging tourism scholars, the current study highlights the ability of mixed methods to develop emerging practitioners' skills in both qualitative and quantitative data. In conclusion, the exploratory sequential mixed methods design offers pragmatic data collection techniques that are non-existent in mono-methods. Accordingly, it is recommended for exploring research questions when there is limited information and high flexibility is needed.

Little is known about the extent to which management and engineering publications dedicated to the study of quality management topics make use of mixed methods, what types of studies have been conducted and how effective mixed methods have been. The aim of the current paper is to analyse how mixed methods have been used in quality management research.

To address this purpose, a bibliometric analysis was conducted of papers using mixed methods designs to investigate quality management issues and published in the SCOPUS database. CiteSpace software was used to assist in the categorisation and mapping process.

Ninety articles were identified and analysed. The results show that mixed methods are mainly used either to compare different perspectives drawn from quantitative and qualitative data or to develop better measurement instruments. Sequential mixes occur more often than concurrent approaches. Moreover, there is a link between the purpose of the study and the approaches followed to combine qualitative and quantitative methods. Yet, the contribution of the use of mixed methods to achieving the aims of the study is not easy to assess as the purposes of using mixed methods are often not clearly stated.

As one of the first papers to examine how qualitative and quantitative methods are being combined in quality management research, this study is expected to contribute to the literature by providing some insights into how mixed methods can be more effectively used in this field.

Mixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.

This paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.

Only 144 (ten percent) of all empirical articles were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.

LSCM is at a critical juncture, shaped by new contexts, themes and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.

The purpose of this paper is to describe how to implement mixed methods research in supply chain management.

A review of past journal analyses on research methods used in supply chain management‐related disciplines is conducted to demonstrate the low incidence of mixed methods research in supply chain management. Drawing from literature on multiple and mixed methods research, the paper provides guidelines for designing and reporting such studies.

Knowledge development in logistics and supply chain management relies primarily on single‐method quantitative research designs, while mixed methods approaches are rarely used. Thus, there is a significant opportunity to advance the discipline through the rigorous application of mixed methods research.

Supply chain management phenomena are complex and dynamic. Thus, the application of mixed methods research would serve the advancement of the discipline as these approaches provide richer understanding and more robust explanations of such phenomena.

If supply chain research is to keep up with the dynamic business environment, research methods must be applied with the capability to fully explain supply chain phenomena. The application of a single‐method research approach is not always adequate for this task.

This paper is the first to draw on research from various disciplines to investigate the use of mixed methods in logistics and supply chain management research. It examines its prevalence in the discipline, provides examples of its application from the supply chain management literature, prescribes how to implement mixed methods research, and describes the benefits and limitations of such designs.

Mixed methods research is an approach for blending quantitative and qualitative data analyses in a single study. It emerged as an alternative to the dichotomy of qualitative and quantitative traditions in the past 20 years. Some strengths of mixed methods research include the ability to generate and test theory, the capability to answer complex research questions, and the possibility of corroborating findings.

We argue the mixed methods approach fits well with comparative education studies because they seek to acquire data to make sound and meaningful comparisons about the experience and performance of education systems in different countries. By nature, comparative education attempts to explain why educational systems vary and to explore how education relates to wider social factors and forces. It consists of both confirmatory and exploratory inquiries that are based on the fundamental belief that education can be improved in all nations. Essentially, the mixed methods approach can adequately support the goals of comparative education studies, with its quantitative components serving the confirmatory objectives and the qualitative components attending to the exploratory end.

In this study, we conducted a survey of articles published between 2000 and 2014 in Comparative Education Review, Comparative Education, and Compare to discern the changes in patterns and preferences of dominant research methods. By surveying the three major journals in the field, we hope to reveal the means by which comparative education is conducted in its constituency. At the very least, we believe our study can provide important reference points for speculation about where comparative education might be headed in terms of methodology and methods.

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.

For several years, scholars studying mergers and acquisitions (M&A) regret their incapacity to fully capture and understand this complex phenomenon. Several authors have called for multidisciplinary approaches to improve our research. We believe that, instead of focusing on theories and multidisciplinarity, a complementary line of attack could be to put into question the methods used to study M&As. The purpose of this chapter is to show how mixed methods research can be a relevant design to open the black box of M&A and improve our understanding of M&A integration processes. Indeed, a key feature of mixed methods research is its methodological pluralism or eclecticism, which frequently results in superior research compared to mono-method research. In this chapter, we first define mixed methods research; we then review the literature on M&A using mixed methods and finally show the pros and cons of this research design to advance our understanding of M&A.

Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions.

The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects.

More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods.

This study is based on academic papers and research published before 2019. A rich research agenda is designed.

This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.