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As qualitative researchers struggle to come to grips with the technological revolution, they are faced with the necessity of learning and teaching qualitative data analysis software in higher education research courses. This change has significant implications for their practice as researchers and teachers. In this article we provide experienced‐based recommendations for individual practice (research instructors, dissertation advisers, and doctoral students) and for institutional practice (scaling up for deep integration of qualitative data analysis software). Our recommendations are grounded in hard‐earned experience gleaned from many years of working with individuals and institutional contexts to improve the use of qualitative research in higher education.

This paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication.

This study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available are also presented.

This research found that, while both programs had strengths and weaknesses when working with big, text-based, online data, they complemented each other. Each contributed a different visual and evidence-based perspective; providing a more comprehensive and insightful view of the characteristics unique to OBA.

Qualitative market researchers are offered insights into the advantages and disadvantages of using two different software packages for research projects involving big social media data. The “visual-first” analysis, obtained from both programs can help researchers make sense of such data, particularly in exploratory research.

The paper provides practical recommendations for analysts considering which programs to use when exploring big, text-based, online data.

This paper answered a call to action for further research and demonstration of analytical programs of big, online data from social media C2C communication and makes strong suggestions about the need to examine such data in a number of ways.

The “academic revolution” that has taken place over the past 50-60 years has brought about many opportunities, but also challenges, in the lives of academics. The “publish or perish” phenomenon can be seen as one manifestation of the heated competition among universities for talent and resources. The resulting increase in publications, the decrease in the time academics have to read them, together with editors’ call for more originality, innovation, and meaning in submitted manuscripts lead to two questions. What techniques can help researchers and PhD students to effectively and efficiently navigate through large bodies of literature? What tools and techniques can be used to enhance the foundations for theorising? The purpose of this paper is to answer these two interrelated questions.

The abstracts of 410 peer-reviewed journal articles connected to ethics in (international) marketing research are explored with software tools. The freely available VOSviewer software is used to visualise the specified body of literature. NVivo is employed to go deeper and explore specific themes identified through VOSviewer.

A total of 17 clusters were identified, representing the major themes in the selected body of literature. Additionally, a number of research avenues and research questions are presented.

The analysis is based on the information provided in abstracts. Future research may wish to extend the analysis to full articles.

The paper contributes by demonstrating how software tools such as VOSviewer and NVivo can be used to explore large bodies of literature and to experiment with research ideas to enhance the foundations for theorising.

Discussions of the use of computer‐assisted qualitative data analysis software (CAQDAS) in social science research studies are still few and isolated. In fact, much of the literature takes an uncritical approach to CAQDAS programs based on unrealistic expectations of the software as a methodology in and of itself. This has significant implications for learning and teaching qualitative data analysis software and the way it is used in research. The study on which this article is based combined formal narrative analysis, thematic coding, and deconstruction techniques to analyse the data using a dedicated qualitative data analysis software NVivo. A discussion is given of how the qualitative analysis software was used in a social constructionist study, particularly outlining how it fitted with the methodological perspective adopted, and where, why and in what way rigour fitted with the underpinning epistemological position. Thus, this article illuminates how rigour can be integrated with relevance with the aid of the power and possibilities that qualitative research software possesses. In addition, an attempt is made to demonstrate how the use of CAQDAS enhances the validity of a qualitative project.

The purpose of this paper is to explore the potential of computer-assisted qualitative data analysis software (CAQDAS) to support qualitative evaluation of corruption prevention initiatives, especially those focusing on behavioral changes. To achieve this objective, this paper applies the principles of qualitative inquiries to establish a foundation for developing effective means for evaluating behavior-oriented corruption prevention initiatives in Indonesia.

Through exploratory study, this paper assesses current corruption prevention evaluation practice in the Indonesian public sector to highlight major deficiencies thereof primarily through examination of publicly available documents on anti-corruption practice in Indonesia. Furthermore, this paper also discusses how qualitative methods using CAQDAS may strengthen the existing anti-corruption regime by aiding decision-makers to better evaluate the success or failure of their corruption prevention initiatives in particular those aiming for behavioral changes. To illustrate how a qualitative data analysis application can support anti-corruption evaluators, NVivo will be used as a reference from which multiple analytical tools will be discussed to highlight their potential for qualitative qualitative analysis analysis in corruption prevention evaluation.

The author establishes that the existing quantitative measures of evaluation are insufficient in generating a comprehensive picture of the success or failure of the existing anti-corruption initiatives in Indonesia. Evidences suggest that the existing quantitative measures appear to be unable to cope with the growing complexity of various corruption problems in the country in particular to those related to organizational culture and behavior. Despite the numerous behavior-oriented initiatives to reduce the risk of corruption in the Indonesia public sector, it is still unclear if such initiatives actually have made a difference in preventing corruption, as many of their elements cannot be measured quantitatively. Therefore, the author believe that deeper insights into corruption problems can be obtained through proper qualitative assessments in which evaluators play the role as the primary analytical instrument. To enhance evaluators’ capability in obtaining and analyzing qualitative data, the author proposes the use of CAQDAS and the evaluation of corruption prevention initiatives. With a special reference to NVivo, the author argues that using CAQDAS will enable evaluators to conduct qualitative analysis more efficiently to identify patterns within the data, as it offers various tools to look deeper into context, diversity, nuance and process so as to gain deeper understanding of the meaning of human action and how it may affect the risk of corruption within organizations.

This study is self-funded and is relying primarily on documentary analysis in assessing the existing corruption prevention evaluation measures in Indonesia. Future studies may benefit from in-depth interviews with anti-corruption evaluators in particular from the country’s anti-corruption agency.

This paper contributes to the development of corruption prevention strategy by proposing a framework for systematically performing qualitative evaluation on behavior-oriented corruption prevention initiatives.

This paper highlights the importance of qualitative measures in evaluating behavior-oriented corruption prevention initiatives in the Indonesian public sector.

Despite the COVID-19 recession, the collection of zakat (almsgiving) managed by the National Board of Zakat Republic of Indonesia (BAZNAS RI) has increased, especially during Ramaḍān 1441 Hijra. Previous works show a positive relationship between digital zakat campaign and zakat collection. This paper aims to study the means of digital zakat campaign during COVID-19 outbreak. This topic is theoretically and practically important in the emerging debate of Islamic marketing, notably in Islamic social finance field.

This paper uses a qualitative research approach. A case study is engaged in the selection of BAZNAS RI for a detailed discussion of a zakat organisation. Meanwhile, a netnographic approach is used to analyse the number of 549 posts from BAZNAS RI’s social media, which are Facebook, Instagram, Twitter and YouTube. Furthermore, a qualitative software analysis of NVivo 12 Plus is used in performing the analytical procedures.

This work explains the means of digital zakat campaign during COVID-19 outbreak with a case of BAZNAS RI. It is identified the number of 6 parent nodes and 64 child nodes from the analysis using NVivo 12 Plus. The authors’ parent nodes are “donation”, “infaq” (Islamic spending for charities), “Ramaḍān matters”, “ṣadaqah” (voluntary charity), “virtual events” and “zakat”. These nodes detail digital campaign of BAZNAS RI posted in its social media during COVID-19 period in Ramaḍān. A theoretical implication of inclusive marketing is derived from the analysis. It explains that the inclusiveness of digital contents is practically significant in campaigning zakat as a religious obligation that contributes to social and financial benefits.

This paper does not claim a positivist perspective on the relationship between digital zakat campaign and zakat collection. Instead, this paper explores in-depth the practice of digital zakat campaign, which the previous study confirms its association with a muzakki’s (Muslims who are obliged to pay zakat) decision to pay zakat.

This paper establishes the Islamic marketing theory that is derived from industrial practices. The inclusiveness of digital contents in zakat campaign is critical in activating zakat as a religious obligation that authentically shapes the social and economic processes of a Muslim community. This theory is practically important for 'amils (employees) of zakat institution who work in the marketing division, chiefly to create such contents to post in social media.

The authors’ node of zakat distribution for COVID-19 relief indicates the importance of a formalised zakat institution to actualise zakat’s role in handling socioeconomic problems. Thus, paying zakat formally in an authorised organisation may contribute to a greater social contribution and maṣlaḥah (public interest) than paying it informally without any effective measurement.

This study contributes to the novelty in the Islamic marketing debate within two folds. First, this paper is among the pioneers in studying digital zakat campaign during COVID-19 outbreak by using a netnographic approach. Therefore, a theoretical implication derived from industrial practices is contributed. Second, this paper details the steps in using NVivo 12 Plus to analyse the unstructured data sampled from the internet. The future studies may thus refer to this work to understand the application of netnography and the procedures in analysing data from social media using this software.

This paper aims to investigate empirically the common alternative methods of measuring annual report narratives. Five alternative methods are employed, a weighted and un-weighted disclosure index and three textual coding systems, measuring the amount of space devoted to relevant disclosures.

The authors investigate the forward-looking voluntary disclosures of 30 UK non-financial companies. They employ descriptive analysis, correlation matrix, mean comparison t-test, rankings and multiple regression analysis of disclosure measures against determinants of corporate voluntary reporting.

The results reveal that while the alternative methods of forward-looking voluntary disclosure are highly correlated, important significant differences do nevertheless emerge. In particular, it appears important to measure volume rather than simply the existence or non-existence of each type of disclosure. Overall, we detect that the optimal method is content analysis by text-unit rather than by sentence.

This paper contributes to the extant literature in forward-looking disclosure by reporting important differences among alternative content analyses. However, the decision regarding whether this should be a computerised or a manual content analysis appears not to be driven by differences in the resulting measures. Rather, the choice is the outcome of a trade-off between the time involved in setting up coding rules for computerised analysis versus the time saved undertaking the analysis itself.

This paper aims to explore the potential of computer-assisted qualitative data analysis software (CAQDAS) to be used as a corruption investigation tool to help investigators in carrying out their investigative works.

By reviewing the literature on qualitative research and fraud investigation, this exploratory study identifies similarities between the two types of inquiries and thus proposing the use of CAQDAS as an innovation in the field of corruption investigation. To demonstrate how a QDA application can support corruption investigators, NVivo is used as a case study from which various key analytical tools are discussed to highlight their potential in supporting a corruption investigation.

As a fundamental part of anti-corruption practice in a country, corruption investigation must be planned and executed professionally and adequately. This paper highlights various stages in fraud investigation to identify areas that can be improved with the use of a CAQDAS. Based on the discussion in this paper, the author concludes that the capability of a CAQDAS to assist users in data reduction and data display has the potential to increase the effectiveness and efficiency in various stages of a corruption investigation.

Based on a self-funded study, this paper only uses a simulation case with a fictitious company to illustrate how a CAQDAS application can be used to support a corruption investigation process. Future studies may benefit from using actual corruption cases in illustrating how such an application can support the investigation process.

This paper contributes to the innovation in anti-corruption practice by proposing a new framework and tool to develop corruption investigation capacity.

This paper brings a new perspective into the field of anti-corruption to stimulate innovation in the area of corruption investigation.

The study aims to explore the case study method with the formation of questions, data collection procedures and analysis, followed by how and on which position the saturation is achieved in developing a centralized Shariah governance framework for Islamic banks in Bangladesh.

Using purposive and snowball sampling procedures, data have been collected from 17 respondents who are working in the central bank and Islamic banks of Bangladesh through face-to-face and semi-structured interviews.

The study claims that researchers can form the research questions by using “what” question mark in qualitative research. Besides, the qualitative research and case study could explore the answers of “what” questions along with the “why” and “how” more broadly, descriptively and extensively about a phenomenon. Similarly, saturation can be considered attaining the ultimate point of data collection by the researchers without adding anything in the databank. Overall, this study proposes three stages of saturation: First, information redundancy. Second, referring the respondents (already considered in the study) without knowing anything about the data collection and their responses. Third, through the NVivo open coding process due to the decrease of reference or quotes in a certain position or in the saturation position as a result of fewer outcomes or insufficient information. The saturation is thus achieved in the diversified positions, i.e. three respondents for regulatory, nine for Shariah scholars and officers and five for the experts concerning the responses and respondents.

The study has potential implications on the qualitative research method, including the case study, saturation process and points, NVivo analysis and qualitative questions formation.

This research defines a case study with the inclusion of “what” and illustrates the saturation process in diverse positions. The qualitative research questions can also be formed with “what” in addition “why” and “how”.

As qualitative researchers struggle to come to grips with the technological revolution, they are faced with the necessity of learning and teaching qualitative data analysis software in higher education research courses. This change has significant implications for their practice as researchers and teachers. In this article we provide experienced‐based recommendations for individual practice (research instructors, dissertation advisers, and doctoral students) and for institutional practice (scaling up for deep integration of qualitative data analysis software). Our recommendations are grounded in hard‐earned experience gleaned from many years of working with individuals and institutional contexts to improve the use of qualitative research in higher education.