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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 literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

In recent years, there has been an extraordinary accumulation of qualitative research in special education. However, as yet, there has been little accumulation of the understandings gained from these studies. This omission has important implications for knowledge development, the utilization of findings in practice, and providing implications for policy. In this chapter, we review and discuss perspectives and procedures from other fields with respect to aggregation of qualitative data. Additionally, we propose a specific method for the meta-synthesis of qualitative research in the area of special education. This synthesis would not be a numerical compilation of outcomes, as in traditional meta-analysis, but would treat individual research reports as “informants,” and employ procedures, such as analytic induction and the constant comparative method to develop higher understandings across individual cases. Such efforts are thought to be essential to reaching higher analytic goals and also to enhancing the generalizability of qualitative research. It is argued that meta-synthesis efforts could do much to promote the impact of the shared understandings gained from individual qualitative research efforts.

Interpretative Phenomenological Analysis (IPA) offers management researchers an approach which allows deep examination of the relationship between individuals and their environments, particularly in complex social situations. Phenomenology studies phenomena, or things and events, as they are perceived by people's consciousness. Interpretivism allows researchers to access such internal awareness of research participants by attempting to understand the words used by subjects to describe their experiences and perceptions. Inherently subjective, this approach requires self-awareness by the researcher and the willingness to abandon preconceived notions in favor of interactive listening and exploration, relying on terms and concepts volunteered by participants rather than nominated by theory or preceding literature. Qualitative text analysis software can be utilized to facilitate aggregation and distillation of the voluminous narratives that result from the open-ended semi-structured interviews typically employed to collect data for IPA. However, impartiality and discernment on the part of the researcher remain essential in interpreting any automated analytical results. The researcher becomes in essence a second-hand observer, peering through windows voluntarily opened by participants, attempting to understand their understanding of their world.

This chapter introduces IPA, providing an overview of its rationale and approach, and illustrates its application in a management-related setting, focusing on cultural adaptation of immigrant professionals.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

In this chapter, sharing economy, also called the gig economy, is discussed as part of the digital economy. This research analyzes the main difficulties of gig workers, and their needs will be analyzed as one of the crucial issues. This research also seeks to examine the government's role in prior economies and the sharing economy of today. In addition, existing legislation and procedures for gig workers will be compared across nations. Furthermore, some of the most important initiatives to engage with the sharing economy are also investigated. Methods such as “word frequency query” and “exploration diagrams,” which are supported by NVivo qualitative research software, are utilized in order to accomplish this research. In this study, the interview method occurs with an expert that is considered in order to observe both the government's stance on the sharing economy and its practical effects. The research discloses that government engagement in the sharing economy is inevitable, and the adoption of existing policies is challenging.

Purpose: This chapter aims to review the research literature on the insurance industry and map the emerging research trends in this field through a bibliometric analysis and network visualisation exercise.

Design/methodology/approach: The research literature gathered from the Web of Science (WoS) databases was applied to bibliometric analysis in this article. With the help of Biblioshiny, this research was utilised to identify documents, most prolific institutions, countries, resource titles, and WoS categories in the insurance industry. In addition, bibliometric mapping was used to identify national and institutional collaboration networks.

Findings: The author discovered that the literature had increased drastically in the academic discourse during the last two decades. According to the bibliometric data, developed countries such as the United States and the United Kingdom reign research in this sector. The research highlights the most prominent studies and writers in the insurance field and the evolution of the domain from its inception to the contemporary. It also highlights theoretical disagreements and contradictions between theoretical conceptualisation and empirical measures by presenting the significant concerns in the literature.

Originality/value: This chapter delivers the first comprehensive bibliometric analysis of the insurance sector’s literature production in connection to emerging technology, which will aid researchers and practitioners in better understanding the relationships between themes and outsiders to understand the domain area better. The author makes recommendations for future perspectives study directions and highlights the critical conceptual framework that can build future research. Overall, this research contributes to a better understanding of the insurance industry and offers new perspectives.

In this contribution, we systematically review the extant global leadership literature to identify important bibliometric and thematic patterns in evidence in this evolving field of scholarship. Conceptualizing the phenomenon to include leaders/managers/supervisors who hold global, expatriate, or international positions, we draw out insights accumulated from a total of 327 published articles in key management and organizational behavior journals listed in Scopus. Our analysis proceeds in two sequential phases. Our bibliometric analysis first identifies the most cited articles, most published first authors, country bases of first authors, and frequently publishing journals in this field. This characterizes both the diversity and innovative nature of scholarship in the field. Our thematic content analysis, generated through Nvivo 11, isolates two dominant overarching themes that represent the wellspring for the body of literature, namely global leader development and global leader effectiveness. These themes of development and effectiveness are further explicated through six distinct lenses namely cultural, cognitive, learning, personality trait, social/relational, and political. These lenses are underpinned by a suite of theoretical perspectives encompassing individual, system, and contextual considerations. In combination, these sets of analyses bring added systematics to the field and serve as a point of departure for future inquiry.

The chapter discusses abductive thematic analysis as an innovative qualitative methodology in hospitality and tourism research. The novelty of the abductive approach is to combine the power of both deductive and inductive reasoning: it is possible to initiate the research starting from an existing theoretical, without renouncing to a creative phase where the researcher interprets the phenomenon beyond the words utilized and theorizes dependencies between concepts. The chapter further presents a case study to illustrate how abductive thematic analysis can be applied to study small hospitality and tourism businesses. The chapter further highlights the benefits of adapting thematic analysis to abductive reasoning, which is a paradigmatic position thus adding rigor to hospitality and tourism. The chapter finally highlights future avenues for development of methodology research toward adding further rigor to this novel methodology.