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The purpose of this paper is to review the basic principles of qualitative analysis, and examine the practical application of these principles to analyze student assignments using the ATLAS.ti software.

Student comments from an assignment are prepared for import into ATLAS.ti. The comments are coded, and then analyzed for patterns using ATLAS.ti and its mechanisms for exploring data and data patterns.

ATLAS.ti offers myriad analytic tools that allow the researcher to quantify qualitative information through coding, data query, cross‐tabulation, and networked visualization of project design. By developing both technical expertise with the software, and developing familiarity with qualitative methodology, librarians can wield an effective means to assess and evaluate text‐based data, such as student assignments or surveys.

Because the ATLAS.ti software, and the qualitative analysis process itself is so complex, this article can only outline the most prominent aspects of the tool.

The document can serve as a “jumping‐off” point for other researchers wishing to either explore the qualitative analysis process, particularly as conducted with ATLAS.ti. The reader will become more familiar with the basic concepts of qualitative analysis as reflected in the organization and functions of the ATLAS.ti, as well as the process of preparing and analyzing textual information with ATLAS.ti.

Because there is a general lack of literature on setting up a project with the software, the article is potentially valuable to anyone wishing to expand and improve their evaluative skills using ATLAS.ti or similar tools.

Respondents’ comments to the LibQUAL+™ spring 2001 survey were examined to refine the instrument and reduce non‐sampling error. Using qualitative data analysis software, Atlas.ti, respondents’ unsolicited e‐mail messages were analyzed. Results showed that the major problem with the survey was its length, which was due to a combination of factors. This information helped the survey designers in reducing the number of library service quality items from 56 to 25 and in addressing technical problems from the Web‐based survey. An in‐depth discussion of the steps followed in conducting the Atlas.ti analysis will also be discussed.

This chapter aims to explicate the use of computer software for qualitative data analysis. Drawing on both a review of relevant literature and a reflexive commentary on an ongoing ethnography, this chapter argues that the use of computer software for qualitative data analysis facilitates rigour and reliability in research, whilst also contributing to wider debates regarding the distinctions made between different research paradigms.

The chapter is divided into two sections. In the first, a review of literature pertaining to the use of computer software for qualitative data analysis is reported. The key themes to emerge from this review are then explored in the second section, which consists of a reflexive commentary on the use of computer software for qualitative data analysis within an ongoing three-year Canadian/UK research project.

The chapter concludes firstly by foregrounding the methodological benefits of using computer software for qualitative data analysis, and secondly by commenting on wider debates relating to the historical distinctions between quantitative and qualitative research paradigms.

The chapter suggests that the uptake of computer software for qualitative data analysis should be considered as an integral element of the research design process.

The originality of this chapter rests in its focus on methodology rather than method, on a reflexive discussion of the place of computer software within the research process rather than a technical description of how software should be used. This chapter is of value not only to researchers who are using or considering using software for their research, but also to researchers who are engaged in wider methodological discussions relating to qualitative and quantitative research paradigms, and to research quality and generalisability.

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.

This study aims to investigate barriers and enablers of social media usage by zooming on one specific type of domain: disaster management. First, by systematically reviewing previous studies using a typology to social media usage, this study identifies the challenges often faced. Second, the results are visualized by qualitatively analyzing the focus group discussion data.

This paper opted for an inductive thematic approach of grounded theory, including focus group discussion with ten participants from diverse backgrounds working in the disaster domain. The data is transcribed verbatim and coded using Atlas.ti software.

The findings suggest that the vogue of social media significantly ascends its usage in disaster management. Regulatory, software, physical, authenticity, cultural and demographic rose as challenges for social media usage in disaster management. Findings further indicate enablers as the rise in mobile penetration, democratic participation, increase in living standards, two-way real-time communication, global reach, expeditious decision-making, no space-time constraint and cheaper source of information. Social media, compared to traditional media, is explored. This study has practical implications in helping authorities understand the barriers and enablers for social media usage in disaster management.

Qualitative data analysis of social media usage for disaster management has received scant attention. The main takeaway of this research is to offer clear findings of the purview of social media usage for disaster management. It demonstrates the challenges and enablers of disaster management using social media in the Indian context. Results indicate that leveraging social media for disaster management can extend decision-making for effective disaster management.

Foodservice managers are responsible for making sure employees follow safe food handling practices so customers do not become ill from unsafe food. Therefore, this study aims to ascertain managers' perspectives using two methods of data analysis to answer the question, “What would make managers more effective in their role of assuring safe food practices are followed in the workplace?”.

Focus groups with current and future foodservice managers were conducted. The software program, Atlas.ti™ was used to complement researchers' analyses of focus group transcripts and develop visual representations of qualitative data.

Major thematic categories identified by the managers in this study included role identification, food safety training, and manager effectiveness. Using Atlas.ti™, data were visually mapped and relationships between different themes and theoretical ideas were represented.

Based on the three major theme areas identified, foodservice operations should focus on improving manager effectiveness, role understanding and training to promote a safe food climate.

Understanding why safe food practices are not followed can help operators delegate resources accordingly. Visual mapping helps clarify areas to improve workplace food safety practices and illustrates linkages.

The use of qualitative analysis software in conjunction with researcher review in food safety research is novel. In addition, although other researchers have evaluated reasons for following or not following safe food‐handling practices, most have done so by assessing employees' perspectives rather than managers' perspectives.

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.

This paper presents the major findings of recently completed research in the UK concerning the attributes of information as an asset and its impact on organisational performance. The research study employed an automated information asset- and attribute-scoring grid exercise and semi-structured open-ended interviews with 45 senior UK managers in four case study organisations. The information asset-scoring grid was developed to provide a simple visual representation of information assets and attributes using Excel charts. The semi-structured open-ended interviews aimed to identify the attributes of information assets considered significant by 45 senior UK managers and to explore relevant issues such as the value of information and organisational effectiveness.

This study aims to provide insight into the patterns and trends in the literature on the direction of future studio education in architecture schools, and can be useful to architecture schools, researchers and boards of studies in making decisions on how to move forward post-COVID-19.

This study conducted a thematic review (TR) from SCOPUS and WoS that discuss the direction of future architecture studio education in the post-COVID-19 era and their recommendations for how to move forward.

The final theme is feedback studies, innovation in studio teaching, and a new model for post-COVID-19 studio education.

Due to the temporal constraints of the data investigated between 2020 and 2022 based on the post-COVID period, only 13 publications were assessed based on the search strings utilized in this study, considering the decision and efforts made after COVID-19 among the participating architectural schools.

This study will prove helpful to architecture schools, studio education researchers and the architecture board of studies.

This study intends to promote blended learning and enables the student to access the materials from anywhere at any time while enjoying the benefits of face-to-face (F2F) support and instruction.

This is the first review paper for architecture studio education post-COVID-19, as well as the first to use a TR approach to analyze the available literature on the subject. The focus on the post-COVID-19 period and the use of TR allow for a comprehensive understanding of the trends and patterns in the literature on the direction of future studio education in architecture schools. Additionally, this research aligns with the United Nations Sustainable Development Goal 4 on ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all, as it seeks to address the challenges and opportunities presented by the pandemic to support the learning and development of architecture students.