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This paper aims to develop a conceptual framework informed by a literature review. This framework aims to deepen and broaden the understanding of the relationship between corporate governance mechanisms and non-financial reporting (NFR) through qualitative research approaches.

A review of corporate governance and NFR literature and existing research frameworks leads to the development of a conceptual framework to encourage future qualitative accounting research on the corporate governance mechanisms for NFR.

Few studies consider the complex interrelationships between NFR and corporate governance mechanisms. Quantitative studies using secondary data sources dominate accounting research on the topic. Of the small number of qualitative studies, many are theoretical and offer little new knowledge about the effectiveness of corporate governance mechanisms in practice. The research framework, developed from a literature review and consideration of multiple qualitative approaches, proposes numerous avenues for future research.

This paper is based on a scoping review of the literature using peer-reviewed journal papers. Other researchers may have identified additional literature for inclusion, including grey literature.

More qualitative research into NFR and corporate governance mechanisms may help to guide practitioners seeking to incorporate sustainability into their governance practices.

The critical relationship between NRF and corporate governance is under-explored in research yet has significant consequences for organisations pursuing sustainability.

The authors develop a conceptual framework for qualitative accounting research on NFR and corporate governance, addressing key outstanding questions in this area and considering different theoretical perspectives when approaching this critical topic. Although there is scope for further research in general in this promising area, including quantitative reviews and discursive studies, qualitative research would be of particular value. The authors also outline multiple directions for nurturing academic debate.

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.

The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.

Considering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.

The authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.

The model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

This study draws on the author's experiences building rapport through online chat for data collection for the author's doctoral dissertation. The author contacted ten Korean women via online chat to recruit and faced the most challenging situation; building rapport. As the Millennial generation is known as being tech-savvy or digital natives, the author actively used emoticons (pictorial representations of facial expressions using characters) with potential interviewees and completed ten interviews. Therefore, this paper offers a new qualitative interviewing method in feminist research.

The paper briefly reviews the works of literature on interviewing women on sensitive topics and building rapport before the interview. Then, the author introduced using emoticons to create rapport during the data collection process and how a non-traditional approach positively impacts the interviewer and interviewee before, during and even after the interview.

Women participants' responses and behaviors differed after building a rapport through an online chat. They were willing to share their personal stories and memories with the interviewer even though the interviewer did not ask.

This study provides a stepping stone for developing an account of the new qualitative methodological approach, specifically feminist qualitative research.

Few studies have described how qualitative researchers create a rapport in virtual space, specifically using emoticons. Also, this study suggests a new methodological approach since nonverbal communication in online chat is inevitable when interviewing people in qualitative research.

While, supply chain resilience (SCRES) continues to be a dominant topic in both academic and business literature and has gained more attention recently, there is limited knowledge on SCRES capabilities specific to business functions. The purpose of this paper is to identify and investigate capabilities shared between supply, operations and logistics that are most important for SCRES.

To address this gap, the authors followed a multi-method research approach. First, the authors used the grounded theory method to generate a theoretical framework based on interviews with 51 managers from five companies in automotive SCs. Next, the authors empirically validated the framework using a survey of 340 SC professionals from the manufacturing industry.

Five significant capabilities emerged from the qualitative study; all were significant in empirical validation. This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES.

This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES. In addition, the findings of this research help managers better allocate resources among significant capabilities.

This study aims to explore occupants’ perceived importance and satisfaction with high-rise students’ housing facilities’ fire safety considerations (FSCs). The specific objectives are to explore the FSCs for high-rise students’ housing facilities and assess the level of importance and satisfaction with the FSCs provided in high-rise students’ housing facilities in controlling fire outbreaks.

The study uses an exploratory sequential design with an initial qualitative phase followed by a quantitative data collection phase. Twenty FSCs were identified through the qualitative phase via semistructured interviews. Their importance and satisfaction were revealed through survey questionnaires with 168 respondents who stayed in or were involved in the operation of high-rise students’ housing facilities. Data from the qualitative phase were analyzed thematically, and those obtained from the quantitative phase were analyzed descriptively and inferentially.

The study’s findings revealed that all the 20 FSCs identified via the qualitative phase and confirmed through the quantitative phase were perceived to be very important in fighting fires in high-rise students’ housing facilities. However, only 9 out of the 20 FSCs received some satisfaction among the respondents in fighting fires in the facilities.

This study offers insight into a rare study area, especially in sub-Saharan Africa. In addition, it grants insight into the occupants’ perspective regarding which FSCs they consider essential and their level of satisfaction with such FSCs in fighting fires in high-rise students’ housing facilities.

Disasters can affect the important sector of tourism across the world. This study aims to combine qualitative findings from 13 publications to enhance disaster management plans for the security and resilience of the tourist industry.

The authors used Noblit and Hare’s seven-step meta-ethnography method, identifying 13 qualitative studies on tourism disaster management through extensive searches in key databases (WoS, Scopus and Google Scholar), meeting inclusion criteria. NVivo 12 aided in coding, translation and comprehension of related ideas.

Five interrelated and third-ordered conceptual categories were identified: extreme natural and malevolent events, lack of risk management and emerg+ency response, sustainable tourism, tourism resilience factors, disaster awareness and preparedness. Effective strategies demand collaboration, resource allocation and local engagement.

This study offers a novel synthesis of qualitative research in tourism disaster management, enhancing understanding of resilience in the industry. It provides unique insights on cross-cultural dynamics, stakeholder engagement and integrated strategies while showcasing the utility of meta-ethnography in business and management research.

This study aims to excavate the external and internal driving factors of enterprise digital innovation and further condense the function mechanisms and response actions of the innovation process as well as the final innovation outcomes to propose the theoretical framework of enterprise digital innovation with the logic thread of “innovation motivation–innovation process–innovation result”.

Based on the digital background and integrating previous case studies on enterprise digital innovation, this study uses qualitative meta-analysis to explore the motivations of enterprise digital innovation, the function mechanisms and response actions of innovation process as well as the innovation outcomes.

This study finds that digitally transformed enterprises driven by external environmental factors and internal organizational factors follow the logic of adaptive and open innovation, and finally accomplish the digital innovation results of products, services, processes, business models, technology and social responsibility through the response actions of adaptation and interaction mechanisms.

In the digital economy era, digital innovation has become the key strategic choice for enterprise transformation, upgrading and innovation. Why and how enterprises realize digital innovation with the help of emerging digital technology remain to be explored. This study has important theoretical significance and practical value for the digital innovation and transformation of enterprises under the digital background.

This collaborative paper presents three case studies on four scholars' experiences with remote data collection. The authors highlight the challenges and strengths of online qualitative research across three disparate projects: an interdisciplinary exploration of matrilineal heritage, an examination of Irish women's sexual identity and an investigation of dress practices among Tz'utujil-Maya.

Qualitative researchers traditionally go into the field to explore and understand social phenomena. At the onset of the COVID-19 pandemic, while people faced the daily realities of a worldwide crisis from within their homes, remote data collection became a necessary strategy to pursue knowledge. As a result, researchers adapted to unknowns regarding recruiting, scheduling, technology, interviewing and analysis.

Participant and researcher experiences during the adaptation to remote interviewing yielded important lessons on research strategies.

Outcomes from these studies highlight the potential value of online data collection alongside the necessity for flexibility in designing and conducting qualitative research.

Circular supply chain management (CSCM) is considered a promising solution to attain sustainability in the current industrial system. Despite the exigency of this approach, its application in the food industry is a challenge because of the nature of the industry and CSCM being a novel approach. The purpose of this study is to develop an industry-based systematic analysis of CSCM by examining the challenges for its application, exploring the effects of recognised challenges on various food supply chain (FSC) stages and investigating the business processes as drivers.

Stakeholder theory guided the need to consider stakeholders’ views in this research and key stakeholders directly from the food circular supply chain were identified and interviewed (n = 36) following qualitative methods.

Overall, the study reveals that knowledge, perception towards environmental initiatives and economic viability are the major barriers to circular supply chain transition in the UK FSC.

This research provides a holistic perspective analysing the loopholes in different stages of the supply chain and investigating the way a particular circular supply chain stage is affected by recognised challenges through stakeholder theory, which will be a contribution to designing management-level strategies. Reconceptualising this practice would be beneficial in bringing three-tier (economic, environmental and social) benefits and will be supportive to engage stakeholders in the sustainability agenda.