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While qualitative work has a long tradition in the strategy field and has recently regained popularity, we have not paused to take stock of how such work offers contributions. We address this oversight with a review of qualitative studies of strategy published in five top-tier journals over an extended period of 15 years (2003–2017). In an attempt to organize the field, we develop an empirically grounded organizing framework. We identify 12 designs that are evident in the literature, or “designs-in-use” as we call them. Acknowledging important similarities and differences between the various approaches to qualitative strategy research (QSR), we group these designs into three “families” based on their philosophical orientation. We use these designs and families to identify trends in QSR. We then engage those trends to orient the future development of qualitative methods in the strategy field.

In this chapter, the authors discuss challenges and decision-making in the process of conducting quality mixed methods research in higher education, and offer the lessons learned from their experiences. The chapter begins with a discussion of quality and the ways of establishing quality in mixed methods studies. Two examples of studies are used to illustrate the issues involved in addressing quality in conducting mixed methods studies in different higher education settings. The first example discusses the challenges associated with establishing the quality of meta-inferences in a mixed methods (quantitative to qualitative) design that was used in two studies of students’ engagement and persistence in pursuing graduate degrees online in the United States. The second example presents the methodological steps and criteria for evaluating the quality of a multilevel mixed design study to explain quality management in Greek higher education. The authors also reflect on how researchers can become active participants in the co-construction of quality in mixed methods research.

This chapter highlights the value offered by photographic research methods to the study of organizational compassion. We demonstrate this potential by first briefly reviewing the history and usage of photographic research methods in the social sciences and the state of compassion research. We then describe how compassion emerged as a key theme in a field study that utilized photographic methods. From this, we identify four approaches that photographic research methods can be used to extend our understanding of compassion in organizations. Specifically, we clarify how this stream of research can be enhanced by the inclusion of photographic methods. We highlight critical research decisions and possible concerns in implementing photographic methods. The chapter concludes with additional organizational phenomena that would benefit from using a photographic methods approach.

The various methods gathered under the umbrella label of qualitative (Guba & Lincoln, 1994), defined as the study of “things in their natural settings, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them” (Denzin & Lincoln, 2005, p. 3), offer many benefits through their ability to access, explore, and experience real organizational people and problems in rich detail (Van Maanen, 1979). As an example, photographic research methods—primarily qualitative methods through which researchers use photographs to elicit information during interviews and focus groups—often result in deep and nuanced data (Collier & Collier, 1986; Harper, 2005; Vince & Warren, 2012). Photographic methodologies are well-suited to the exploration of new phenomena because they allow researchers to get close to the lived experience and organizational processes (Dion, 2007), attend simultaneously to the social and material world in organizations (Shortt & Warren, 2012), and offer the potential to “mine deeper shafts into a different part of human consciousness than do words-alone interviews” (Harper, 2002, p. 23). Organizational research has traditionally been dominated by a positivistic paradigm that focuses on theory evaluation through the use of quantitative methodologies (Lin, 1998; Sutton, 1997), whereas qualitative research offers the potential to build theory by illuminating underlying processes and causal mechanisms in specific contexts (Lee, 1999). Researchers developing theory may be particularly interested in the richness of the data gathered with qualitative methods (Edmondson & McManus, 2007) such as photographic methods. Qualitative research is thus well-matched to nascent literatures that require inductive study about a phenomenon to generate foundational knowledge (Edmondson & McManus, 2007).

One such nascent research stream that could benefit from photographic methodologies is organizational compassion (Rynes, Bartunek, Dutton, & Margolis, 2012). In its current state, compassion research within the organizational literature has generated many narratives of experiences of compassion in response to a specific tragedy (Dutton, Worline, Frost, & Lilius, 2006), as an organizational capability (Lilius et al., 2011b), or as an organizational capacity that an organization can develop (Madden, Duchon, Madden, & Plowman, 2012). These stories demonstrate that the common elements of the compassion process are the noticing of someone else's pain, empathizing with that person, and then responding in a way designed to lessen that pain (Kanov et al., 2004); however, because this process is so individualized, photographic methodologies offer researchers a chance to capture valuable new information about this process and the experience of compassion within organizations. In this chapter, we describe many potential benefits of designing organizational compassion research based on photographic methodologies.

In doing so, we offer several contributions. First, we show how photographic methodologies can create deeper responses during interviews and observations that may lead to surprising insights for theory. Second, by suggesting some of the insights that have been generated about compassion through photographic methodologies, we offer novel research ideas for this growing body of literature. The following sections provide background on the development and history of photographic methodologies and review the studies and methodologies that have contributed to our understanding of compassion within organizations. Subsequently, we describe some of the ways in which compassion has surfaced during our own field study using photograph elicitation. Finally, we describe possible studies that could benefit from the use of four forms of photographic methodologies to explore more targeted research questions related to organizational compassion and also offer a range of other organizational phenomena that could benefit from a photographic methods approach.

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.

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 study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.

This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.

Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.

This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.

This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

This paper aims to develop an original Café Delphi historical method to research women's individual and collective experiences of sex, sexuality and sexism in public relations (PR) in 1990s’ Britain.

An original Café Delphi historical method is shaped by an interpretive paradigm providing a conceptual framework to model sex, sexuality and sexism. This approaches history as a social science drawing on hermeneutic phenomenology, reflexivity and ethics of care. A case study, employing oral history and participatory action research (PAR), is used to develop and test the practicality of the original Café Delphi historical method to research women's individual and collective experiences of PR in 1990s’ Britain.

Three main findings are identified. (1) Developing a new method is complex, time-consuming and surfaces practical problems; however, the Café Delphi historical method is a viable way to explore individual and collective experiences. (2) Undertaking methodological innovation and innovating research methods involves action learning and requires agility, reflexivity and ability to navigate messiness and order. (3) Testing the multiphase mixed method study revealed its power and potential as an ethical and collaborative co-research approach.

This study expands the repertoire of research methods in PR historiography and provides a new approach to capture collective as well as individual experiences. This study develops a feminine analytic tool employing metamodern oscillation to connect past, present and future.

This paper seeks to examine two management doctoral research projects to highlight the advantages in mixed methods as the primary research design.

This paper summarises the methods of data collection and analysis which were used by two doctoral students in their management research. The researchers used mixed methods approaches (quantitative and qualitative) to explore different areas of management.

The paper supports the view that triangulation of research methods strengthens the findings and inferences made for understanding social phenomena in more depth, compared to using a single method.

The paper relies excessively on two doctoral research projects which utilise sequential mixed methods. Therefore, arguments made in the paper are specific because other doctoral projects that have used different methods from those employed in the two projects were not considered.

Early researchers, in particular students commencing doctorate studies, should apply mixed methods research because it develops skills in the two most dominant data collection methods used in management research. This paper is a practical guide on how this could be done effectively.

The paper is drawn from two unique doctoral research projects. The paper's originality and value is in providing experiences and practical insights on how mixed methods research is undertaken.