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The use of interviews for data collection is prevalent in qualitative accounting research. This paper examines vignettes – sketches of hypothetical scenarios – as a promising complementary way to conduct interviews in qualitative accounting research.

The paper is based on our experiences designing and using vignettes in five separate qualitative accounting studies, which collectively involve over 200 interviews with various participants. It discusses the opportunities the use of vignettes in interviews offers to qualitative accounting research, as well as the challenges associated with designing and using vignettes. The paper also reflects on fellow researchers’ varied reactions during seminars, workshops, and the journal review process.

Vignettes emerge as a productive and engaging complementary way for accounting researchers to obtain additional insights and perspectives not usually accessible in semi-structured interviews. The paper also provides practical insights into developing, using and publishing qualitative accounting studies using vignettes, contributing an additional behind-the-scenes view of using qualitative research methods.

The aim of this paper is to increase awareness of vignettes as a complement to the standard qualitative accounting interview. It provides guidance on how vignettes might be used productively for studying rare, new, emerging, complex, or multi-period real-world accounting phenomena. It also discusses how vignettes can promote transparency, honesty, and a greater level of detail in participants’ responses, as well as facilitate the involvement of lay people in accounting studies.

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.

This study aims to describe key elements that are critical to virtual qualitative research especially while working with practitioners as participants.

This paper takes a reflexive researcher approach using a case study to explore how researchers adopted a qualitative research approach using digital technology. We use five principles suggested by Boland et al. (2022) as a framework to consider and reflect on our experiences as researchers and those of our participants.

We highlight the gatekeeper’s support, trusted relationship with the organisations, interpersonal skills of interviewers, stringent measures of securing data and shared experiences of interviewee and interviewers helped complete virtual research. We recommend that four key factors such as digital competency, feasibility, flexibility and resilience should be considered while undertaking or commissioning virtual, qualitative research studies.

Social care practitioners and qualitative researchers increasingly negotiate with digital technologies to undertake their work. In this paper, we evidence how online qualitative approaches can be effective provided challenges are dealt with diligently in each stage of the research process.

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.

Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.

Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).

This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.

The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.

This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.

Consumers increasingly rely on organisations for online services and data storage while these same institutions seek to digitise the information assets they hold to create economic value. Cybersecurity failures arising from malicious or accidental actions can lead to significant reputational and financial loss which organisations must guard against. Despite having some critical weaknesses, qualitative cybersecurity risk analysis is widely used in developing cybersecurity plans. This research explores these weaknesses, considers how quantitative methods might address the constraints and seeks the insights and recommendations of leading cybersecurity practitioners on the use of qualitative and quantitative cyber risk assessment methods.

The study is based upon a literature review and thematic analysis of in-depth qualitative interviews with 16 senior cybersecurity practitioners representing financial services and advisory companies from across the world.

While most organisations continue to rely on qualitative methods for cybersecurity risk assessment, some are also actively using quantitative approaches to enhance their cybersecurity planning efforts. The primary recommendation of this paper is that organisations should adopt both a qualitative and quantitative cyber risk assessment approach.

This work provides the first insight into how senior practitioners are using and combining qualitative and quantitative cybersecurity risk assessment, and highlights the need for in-depth comparisons of these two different approaches.

The purpose of this paper is to support potential users of thematic analysis (as outlined by Virginia Braun and Victoria Clarke). Researchers with the intention of applying thematic analysis are advised to consider the theoretical framework of their work and how differing ontological and epistemological standpoints influences their approach to thematic analysis.

This paper considers aspects of the work that has been done around thematic analysis to guide future potential users. The flexibility, recipe-like use and ease of thematic analysis are discussed, along with guidance being offered to avoid the seemingly common trip hazards of navigating the approach.

Users of thematic analysis seemingly continue to cite Braun and Clarke's thematic analysis whilst repeatedly contradicting the guidance of their work.

Readers of this paper that intend on using thematic analysis will be redirect to further learning, personal reflection and adjustments to the way in which they engage with, utilise and report their qualitative work using Braun and Clarke's approach to thematic analysis.

It is possible that past research that has been reported as using Braun and Clarke's approach to thematic analysis has been misinterpreted, misunderstood and misused. This as a result of researchers potentially having failed to embrace the need to engage in reflexive, epistemological and ontologically clear processes during the use of thematic analysis.

While Braun and Clarke's approach to thematic analysis seems to have developed a significant level of popularity and use, the finer but impactful understanding of the approach has been overlooked. Other work has been done in relation to thematic analysis but there has not been anything to support thinking and learning around the suitable, accurate and knowledgeable use of the approach.

World Health Organizations (WHO) (2023) states that governments and employers have a responsibility to uphold that right by providing work that simultaneously prevents workers from experiencing excessive stress and mental health risks. The business environment continues to produce a lot of stress on workers, which includes internal pressures to achieve results and employees suffer the consequences. Some companies have turned to mindfulness as a technique that helps mitigate these consequences and have joined Kaizen as a process improvement technique in the work environment. Therefore, this study has a research purpose: “to comprehend the possible linkage between Kaizen philosophy from an individual perspective, with Mindfulness ZEN Buddhism technique to understand the individual benefit (well-being) of each employee in organizations.” The answer to this represents the research gap in this article. The research questions governing this study are as follows: RQ1: Does Mindfulness is used as Kaizen technique of personal-individual improvement in 21st-century organizations? RQ2: What elements and characteristics of Kaizen and mindfulness can be found working together? And RQ3: Which qualitative impact of mindfulness and Kaizen in the workplace outcome (well-being, performance of the job (process)) and relationships with other employees)?

This research used a qualitative approach due to the recent phenomenon studied. In a certain way, it was used a mixed-method (combination of qualitative data – web search secondary data analysis and qualitative research-Convergence Model). First, it was done an intensive web search with the aim to identify companies' corporate mindfulness programs, along with companies which have applied mindfulness and Kaizen programs. It was identified a group of big companies with global and international presence (“famous” for their products and services) in diverse industrial and service sectors, country of origin and business locations; with the purpose of getting a holistic vision of all organizations which have practice Kaizen and mindfulness. Therefore, this study explored secondary data related to both practices, analyzing reports or briefings published in management magazines and official WEB pages and/or business magazines.

As a result of the triangulation of the data with its secondary data convergence model and qualitative research, a theoretical framework was reached that shows the benefits of the two combined twin techniques of Kaizen and mindfulness. The worker experiences a path that goes from concentrating on the execution of their processes, following their operating standards (Standardize, Do, Check, Act [SDCA] cycle), going through the evolution to continuous improvement or Plan-Do-Check-Act (PDCA) cycle, experiencing work with concentration-awareness and reducing your daily stress, maintaining high sensitivity to the work process and your environment and finally, discovering an essential life purpose. Finally, worker experiences benefit when there is wide application of both with the SDCA and PDCA cycles such as high motivation, constant learning from your mistakes, day-to-day learning and the Munen Musso (not using the mind).

The main limitation is the qualitative methodological bias and secondary data research. In addition, to have a theoretical sample. However, the richness of the data helps to overcome this limitation. On the other hand, the qualitative research interviews are for a certain geographical area, therefore, the results cannot be generalized.

The results of this research can shed light on operations managers in the use of techniques for continuous improvement and improvement of people's quality of life, such as mindfulness. In Mexico, they are beginning to be used jointly (twin techniques) to comply with Regulation 035 of psychosocial risk, the researchers are sure that in other countries it will be used in the same way to comply with regulations. However, the research findings show the benefits that can be provided to workers in organizations by applying Kaizen and Mindfulness together.

To the best of the authors’ knowledge, according to the literature review, this is the first article that explores the relationship between Kaizen and Mindfulness as twin techniques that help improve the individual quality of life of employees in organizations.

In recent decades, managerial desire to use internal audit services to promote well-controlled organizational processes has significantly increased in the public sector. Yet, there is rare information on how internal audits may effectively be implemented in the public sector. The present research aims to design a comprehensive internal audit effectiveness model for the public sector.

This research is an applied mixed-methods (qualitative–quantitative) and descriptive survey study. The research population in both qualitative and quantitative sections included all internal and external audit managers and staff of Iraqi public organizations. The study sample of the qualitative section included 28 audit managers and staff selected using purposive sampling, and the study sample of the quantitative section included 399 individuals selected using convenience sampling. The data collection instruments in the qualitative and quantitative sections included semi-structured interviews and questionnaires, respectively. Data analysis was carried out using thematic analysis in Atlas.ti software in the qualitative section. Quantitative analysis and model validation were also performed using path analysis and structural equation modeling in Smart-PLS software in the quantitative section.

The results of the qualitative section led to the identification of 38 effectiveness factors among seven main categories, which were finally presented in the form of a comprehensive model. The main categories included the communication between internal and external auditors, granting independence and authority to internal auditors, providing specialized human resources, providing technological resources, developing management support, strengthening organizational culture and developing audit plans. In the qualitative section, the model was validated and confirmed. Quantitative results further showed that the compilation of audit plans and the development of management support were the most important factors.

The present study contributes to the literature by providing a comprehensive framework on internal audit with an emphasis on resource-based theory and reducing the research gap in the field of agents influencing internal audit efficacy in the public sector of developing countries. Further, the study provides insights into an under-studied developing country, Iraq.

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.