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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.

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 present findings from a study conducted with non-profit organizations (NPOs) in Canada and Australia, focusing on the use of tools and technologies for knowledge management (KM). NPOs of different sizes and operating in different sectors were studied in two large-scale national surveys. The paper is useful to both practitioners in NPOs for understanding tool use for KM activities and to scholars to further develop the KM-NPO domain.

Two nation-wide surveys were conducted with Canadian and Australian NPOs of different sizes (i.e. very small to large-sized organizations) and operating in different sectors (e.g. animal welfare, education and research, culture and arts). An analysis of responses explores the use of tools and technologies by NPOs. Respondents identified the tools and technologies they used from nine pre-determined themes (quantitative data) plus an additional category of “other tools” (qualitative data), which allowed for free text responses. The quantitative data were analyzed using both descriptive and inferential statistical techniques and the qualitative data were analyzed using a thematic analysis approach.

Quantitative data analysis provides key findings including the popularity of physical, print documents across all NPO sizes and sectors. Statistical tests revealed, for example, there is no significant difference for the same-sized organizations in Canadian and Australian NPOs in the use of tools and technologies for KM activities. However, there were differences in the use of tools and technologies across different sizes of NPOs. The qualitative analysis revealed a number of additional tools and technologies and also provided contextual details about the nature of tool use. The paper provides specific examples of the types of tools and technologies NPOs use.

The paper has both practical and academic contributions, including areas for future research. The findings on the use of KM tools and technologies by NPOs contribute to the growing body of literature in the KM domain in general and also build the literature base for the understudied KM-NPO domain. NPOs will also find the paper useful in better understanding tools and technological implementation for KM activities. The study is unique not only in the content focus on KM for NPOs but also for the comparative study of activities in two countries.

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 investigate how apparel product presentation influences consumer decision-making and whether there are any differences between age groups.

A mixed methodology was used including eye-tracking and qualitative in-depth interviews, with a purposive sample of 50 participants between age 20 and 70.

A higher number of product presentation features resulted in increased positive visual, cognitive and affective responses as consumers wanted as much visual information as possible to aid decision-making. Images of models attracted the most attention and were the most influential product presentation feature, followed by mannequin images and the zoom function. The 20 s spent much less time viewing and interacting with the product presentation features than middle age groups (30 s-50 s), had minimal fixations on mannequin images and had a much quicker decision-making process than other age groups.

The research informs retailers which product presentation features are the most effective for their target market to aid consumer decision-making with the aim of reducing returns.

The paper contributes to the literature by providing more in-depth insights than previous studies into the impact of online product presentation on consumer decision-making by using qualitative research and eye-tracking. The research also explores more product presentation features than previous research and investigates the presentation of apparel products, which are notoriously the most difficult products for consumers to assess online. The research is unique in its exploration of age differences in relation to product presentation features.

This article aims to explore the risk characteristics associated with food hazards on the island of Ireland and to assess how the public deal with perceived risks.

A qualitative investigation involving 12 focus groups was conducted on the island of Ireland. Content analysis was undertaken, with the assistance of the qualitative software tool QSR N6.

Four hazard categories (lifestyle, (bio)technological, microbiological and farm orientated production) were identified and the risk characteristics and risk relieving strategies associated with these hazards were explored. The risk perceptions of respondents were consistent with those defined by the psychometric paradigm. The risk characteristics of knowledge, control, dread, harm to health, freedom of choice, ease to identify were all mentioned, but their importance differed greatly depending on the hazards. For example, in the case of lifestyle hazards, personalisation of the risk, and thus dread, occurred when the individual had a health scare, while with microbiological hazards, knowledge and familiarity resulted in increased confidence in ability to cope with the hazard in the home. The media was noted as having an influential role in individual risk assessment. Finally, changing lifestyles were seen as contributing to increasing the level of exposure to food risks among the population. Further investigation into the sources and consequences of these changing lifestyles is required to guide future food policy.

The number of focus group conducted and the qualitative nature of the research limits the degree to which generalised conclusions can be drawn.

These results provide a deeper qualitative understanding of risk perception issues.

The paper aims to add knowledge on the status of the welfare technology field. Politicians in mature economies expect welfare technologies – especially digital technologies – to contribute to bridging the gap between an increasing number of elderly and a shrinking work force. Theoretically, the paper deals with welfare technologies in a digital infrastructure perspective.

A multilevel and comparative study was conducted to understand the interplay of high-level policies and implementation projects and highlight key issues through comparative analysis of different national approaches. Japan and Norway were the chosen countries because they are both in the forefront in the use of welfare technologies.

Findings reveal similarities between the two countries, which are echoed in many other countries: although government expectations are high, the field of welfare technology is still in its infancy and only rather simple solutions (such as safety alarms) are widely used. Key differences in innovation strategies for welfare technology in the two countries are highlighted, where Japan seem to be aiming for a vertical integration through large corporations’ solutions, whereas Norway aims for a more open innovation arena through standardization.

From a practical point of view, the two countries have something to learn from each other, but, in particular, both countries are recommended – together with other similar countries – a more platform-oriented approach. Theoretically, it is shown that a successful implementation of welfare technologies should adopt a digital infrastructure approach and exploit the generative mechanisms of this approach.

Purpose: This study aims to review the existing literature on human resource management (HRM) as a major theme and sub-theme of human resource (HR) analytics. This chapter has the objective of analysing the trends in HR analytics.

Design/Methodology/Approach: It covered the publications between 2010 and 2021. There was a total of 500 articles sourced through ProQuest. The systematic literature review is applied as a research methodology. The metadata analysis was carried out to understand the trends, challenges, best practices, and scope of HR analytics. The authors have taken the help of keywords, journals, authors, domains, and topics for sourcing, screening, shortlisting, and finalising the article for review purposes.

Findings: It was found that research published in the early period concentrated on HRM’s theoretical and conceptual frameworks. In the middle phase, HR analytics gained momentum while the recent publications have reiterated on adopting various tools and technologies for optimum utilisation of resources and sustainable organisational development.

Practical Implications: This research will add to the literature in the HR analytics domain. It also provides a deeper insight to the researcher to explore and analyse more trends in the area that needs further exploration.

Originality: This study is relevant and comprehensive within the context of digitalisation, people analytics and competition management. It provides valuable insights to analyse the present scenario of the volatility, uncertainty, complexity, and ambiguity environment exploring new horizons for organisational efficiency and human capital.

This study aims to evaluate and investigate the existing process of establishing a banking relationship with politically exposed persons.

This study used qualitative techniques of semi-structured interviews with senior compliance officers of financial institutes in Pakistan.

This study found that the existing mechanism of identification and verification of politically exposed persons (PEPs) is ineffective. Financial institutes face challenges like the quality of name screening data sets, cost of identification and verification, role and control of the regulator, the influence of politically exposed persons, the opaqueness of laws and international connections of the politically exposed persons. Further, financial Institutes are burdened by regulators to perform robust PEP customer due diligence but do not guide and provide the right tools.

This paper aims to find challenges faced by financial institutes before onboarding the PEPs. Further, very limited studies on this topic have been conducted in Pakistani context.