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Information and communication technologies have been widely implemented and made radical changes for several decades in the hospitality and tourism industry. This rapid development also generates considerable data in social media. This trend opens the door to analyze unstructured data and gain increased attention of a qualitative research approach from hospitality and tourism researchers and industry professionals. Therefore, this paper aims to describe how a computer-assisted qualitative data analysis (CAQDA) approach can be used in the hospitality and tourism technology literature to uncover the trends and thematic concepts of hospitality and tourism technology research and their dynamics in Journal of Hospitality and Tourism Technology (JHTT)

To achieve the proposed research goals, the current study used CAQDA software, Leximancer, to analyze 218 articles published in JHTT between Volume 1(1) in 2010 and Volume 10(4) in 2019. Based on the rigorous CAQDA processes, the study performed the thematic analysis using all articles and subgroup analyses in the five-year periods.

Using CAQDA, the study reveals the critical research trends and insights on hospitality and tourism technology for 10 years in the JHTT. The findings of this study can provide strong evidence of what hospitality and tourism technology research topics have been examined and how these topics were connected and changed over time. More importantly, the current study illustrates how the CAQDA approach can be applied to uncover the hidden trends and thematic concepts from text data in the hospitality and tourism literature.

This study is the first attempt to apply CAQDA software to identify research trends and thematic concepts and gain insights from past JHTT’s articles. Moreover, this study applies this software to describe how hospitality and tourism researchers can use one of the modern computer-assisted qualitative techniques. Based on the findings of this study, theoretical and methodological implications for hospitality and tourism researchers are provided. More importantly, the current study presents the specific guidelines of how the CAQDA approach can be used for the literature review.

在酒店与旅游研究中, 信息和通讯技术被广泛应用了数十载, 也在发展中经历了巨大变革。如此迅速的发展在社交媒体中产生了大量数据。此项趋势为分析非结构化的数据以及为酒店旅游界增加定性研究打开了大门。因此, 以 Journal of Hospitality and Tourism Technology（JHTT） 发表的论文为例, 本研究旨在介绍在酒店旅游文献中如何运用计算机辅助的定性研究方法来发现研究趋势, 主题概念, 以及发展进程。

为达到研究目的, 本研究运用 CAQDA 软件, Leximancer, 来分析了 JHTT 从2010 年第1卷第1期截止到 2019 年第 10 卷第4期之间发表的 218 篇论文。基于 CAQDA 的严谨分析, 本研究对所有发表的论文进行了以5年为阶段的主题分析和分主题分析。

通过 CAQDA, 本研究发现了 10 年间在 JHTT 发表论文中凸显出来的酒店和旅游科技的研究趋势。研究结果为了解酒店旅游研究中出现的以科技为核心主题, 以及主题之间是如何关联以及发展提供了科研证据。更重要的是, 本论文为阐述 CAQDA 是如何可被应用到酒店旅游研究的文本分析中提供了例证。

本论文首次应用了 CAQDA 软件来发现科研趋势和研究主题, 从 JHTT 发表的论文中得到了深刻见解。此外, 通过应用此软件, 本研究也为酒店旅游学者展示了如何运用此项现代计算机辅助定性分析技术。本文结果对理论和方法论具有深远意义。更重要的是, 本研究提供了在文献综述中如何运用 CAQDA 提供了指导方针。

定性研究, 文献综述, 主题分析, 文本分析, 酒店和旅游科技, 计算机辅助定量分析, CAQDA, Journal of Hospitality and Tourism Technology, JHTT.

文章类型 研究论文

The aims of the paper are twofold: to assess the usage of Computer Assisted Qualitative Data Analysis (CAQDAS) in the UK market research industry; and to evaluate the use of CAQDAS as a supplement to paper‐coding in market research.

CAQDAS usage was assessed by a questionnaire, sent to a sample of 400 UK market researchers. The second part of the research is a case study of a research experiment. The authors conducted focus group research into online grocery shopping, supplementing a paper‐coding‐based analysis with a further analysis based on computer coding.

Usage of CAQDAS in commercial market research is very low at only 9 percent. The research suggests that CAQDAS can be a useful supplement to traditional methods. Using computer software, the paper was able to mine the data for more detail; clearly identify minority views; and produce a useful resource for future research.

The survey response rate was 38 percent, but only 13 respondents used CAQDAS. Generalisation from a single experiment is problematic; the findings are affected by the research topic, research briefs and the two research analysts.

The study has important implications for commercial qualitative market research. Repositioning CAQDAS as supplementary, rather than as an alternative, circumvents arguments about time pressure, and highlights its data management role.

This is the first large‐scale survey of qualitative research analysis in the UK market research industry. The case study describes an approach to CAQDAS that is innovative and relevant to commercial market research.

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.

To explore the cases for and against the use of computer‐assisted qualitative data analysis software (CAQDAS) in qualitative organisation and management research.

Reflecting the debate inherent in the questions raised about the use of CAQDAS, a dialogue between the authors is used.

There are risks associated with using CAQDAS without considering its underpinning principles and assumptions about data analysis. If these are considered explicitly as part of a research methodology, then CAQDAS may be a valuable analytical tool. If not, there is risk of distortion and bias in results from the use of CAQDAS.

The paper addresses a commonly posed question for qualitative researchers, in a format and structure that is likely to stimulate further debate.

Qualitative research suffers from “contestation” and a lack of “boilerplate” problems to assessing and presenting qualitative data, which have hampered its development and the broader acceptance of qualitative research. This paper aims to address this gap by marrying the constructivist methodology and RQDA, a relatively new open-source computer-assisted qualitative data analysis (CAQDAS)-based R extension and demonstrate how the software can increase the rigor, transparency and validity of qualitative research.

This paper highlights the constructivist approach as an important paradigm in qualitative research and demonstrates how it can be operationalized and enhanced using RQDA. It provides a technical and methodological review of RQDA, along with its main strengths and weaknesses, in relation with two popular CAQDAS tools, ATLAS.ti and NVivo. Using samples of customer-generated e-complaints and e-praises in the electronics/computer sector, this paper demonstrates the development of a process model of customer e-complaint rhetoric.

This study offers step-by-step instructions for installing and using RQDA for data coding, aggregation, plotting and theory building. It emphasizes the importance of techniques for sharing coding outputs among researchers and journal gatekeepers to better disseminate and share research findings. It also describes the authors’ use of RQDA in classrooms of undergraduates and graduate students.

This paper addresses the “contestation” and “boilerplate” gaps, offering practical, step-by-step instructions to operationalize and enhance the constructivist approach using the RQDA-based approach. This opens new opportunities for existing R users to “cross over” to analyzing textual data as well as for computer-savvy scholars, analysts and research students in academia and industry who wish to transition to CAQDAS-based qualitative research because RQDA is free and can leverage the strengths of the R computing platform.

This study offers the first published review and demonstration of the RQDA-based constructivist methodology that provide the processes needed to enhance the rigor, transparency and validity of qualitative research. It demonstrates the systematic development of a data structure and a process model of customer e-complaint rhetoric using RQDA.

There have been several waves of calls for methodological pluralism in the marketing literature. However, there has been little discussion about the implementation of new applications and techniques. Attempts to address this disparity. Focuses on the use of the computer for qualitative data analysis by drawing on discussions from a broad range of other social science disciplines. Examines the merits and disadvantages of these applications and discusses some of the concerns which have been expressed about their use. Through this discussion aims to progress the methodological debate in marketing research.

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.

The purpose of this study is to assess how intergovernmental panel on climate change’s (IPCC’s) sixth assessment report of Working Group I (WGI), a Summary for Policymakers (SPM), has evaluated the current climate change situation. The author uses the qualitative content analysis (QCA) method (i.e. summative content analysis [SCA]) to identify critical points of the SPM.

To better understand the WGI report and its SPM, the author uses the thematic analysis, often called the QCA method. This study takes more steps and uses one of the main qualitative content analysis approaches (i.e. SCA). Therefore, QCA (SCA) can help the author count the occurrence of certain words using computer-assisted qualitative data analysis software that quantifies the words in the data. This process helps the author to understand codes and patterns (e.g. the concept in the results section).

Interestingly, the AR6 says more about adaptation for policy makers in sections C (Climate information for risk assessment) and D (Mitigation of future climate change) than in sections A and D. Finally, this study concludes that the IPCC WGI SPM has addressed evidence on global climate change policymaking for SPMa, SPMd (mitigation-based strategies and mitigation policy [MP]) and SPMb, SPMc (adaptation policy and adaptation-based strategy).

First, this study refers only to the contribution of WGI, a SPM. The findings of this study do not necessarily provide a full understanding of what the AR6 WGI SPM says about climate change. It points out that the QDA Miner software and Voyant tool do not include all variables and examples where mitigation and adaptation-based strategies are discussed. The guidance for coding is based on the approved version of IPCC AR6 WGI SPM. The final limitation is that the relatedness of key words (e.g. confidence, high and warming) is sometimes ambiguous; even experts may disagree on how the words are linked to form a concept. Thus, this method works at the keyword level. A more intelligent method would use more meaningful information than keywords.

This study used qualitative data analysis (SCA) to explore what was said about climate change in four sections of the IPCC AR6 WGI SPM, which may influence current and future global climate change policymaking.

Computer-aided/assisted qualitative data analysis software (CAQDAS) supports qualitative and mixed methods researchers to organize, analyze, and explore data in a meaningful, and efficient, way. Successfully utilizing CAQDAS software can be challenging, particularly for the novice researcher. To assist all researchers 21 CAQDAS dilemmas are articulated. These relate to choosing, using, and getting started with the software, as well as writing about CAQDAS use. These dilemmas suggest there is no right way to use CAQDAS programs, rather the specific research project, along with researcher experience and philosophy, should drive the extent to which any project utilizes the extensive CAQDAS capabilities, while also encouraging the researcher(s) to drive their ideas and exploration beyond what they initially thought possible.

The paper has a dual purpose, being to report on an interrogation of concepts and contexts of accountability used in the accounting literature and to illustrate the application of a qualitative data analysis software tool in this interrogation.

A content analysis was undertaken of 114 journal articles related to accountability and published in highly ranked accounting journals from 2000 to 2007.

Accountability is a concept used in a variety of contexts, particularly in connection with public accountabilities and accountability in the public sector, as well as within social contexts. The emphasis appears to be on accountability reporting in these settings, with less concern for the management perspective. The variety of contextual usage and categorisations of the term “accountability” indicate it has not become more precise over the period in question.

Since only 21 accounting journals are sampled, there is scope for investigating accountability concepts across a broader base of publication outlets. The findings suggest that greater effort should be devoted to developing frameworks of accountability, researching accountability in relatively under‐explored contexts and settings, and considerable scope for researchers to more frequently utilise computer‐assisted qualitative data analysis in content analysis studies concerning accounting and accountability.

While there is anecdotal evidence of the elusive nature of accountability, this paper provides a window on conceptions of accountability employed by accounting scholars and the contexts in which accountability is discussed and researched. Further, the use of the Leximancer software tool in qualitative content analysis is demonstrated, noting that the accounting literature is currently devoid of examples of applications of this software.