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The purpose of this study is to map the conceptual structure of the body of knowledge linking digital technologies and auditing, with the aim of contributing to a better understanding of this research stream.

This research develops a bibliometric analysis of 256 articles following two steps. The analysis of descriptive performance indicators identifies the main traits of the community of scholars debating audit and technology in terms of publications, productive countries and authors, as well as the publication’s impact of the target journals concerning specific fields, number of citations per country and most cited articles in the data set. To analyse the conceptual structure of the data set, the study performs a co-word analysis adopting social network analysis tools.

The results highlight a growing academic interest in the research topic, especially in the past few years. The bibliometric analysis reveals three main topics concerning the use and application of technology in the audit profession: the adoption of continuous auditing and continuous monitoring in the auditing profession; the use of software tools in the audit profession; the connections between information systems and audit.

This paper contributes to the field by providing an examination of the current state of the art of research on the use and application of technology in the audit profession as well as identifying the current gaps in the literature and, most importantly, propose a research agenda for the field.

This paper aims to provide a review of hotel performance within the hospitality and tourism research domain. The authors use network analysis to examine two research questions. The first relates to ascertaining general trends within the hotel performance literature, and the second focuses on identifying the salient streams and sub-topics.

Articles were selected according to three criteria: keywords, journals and year of publication. The analysis embraces 20 years (1996-2015). These choices assure a wide coverage of the literature. Using these three criteria, the sample includes 1,155 papers. For the analysis, the authors created a network of papers designated as nodes, and the citations among the papers as links. A network approach recognizes the internal structure of the network by identifying groups of nodes (papers) that are more densely connected between themselves than to other nodes within the network (modules, clusters or communities).

The authors found 761 papers that were “connected” studies within the network. By contrast, 34 per cent of the sample (394 papers) consists of “unconnected” studies. Excluding outliers, the net sample was 734 articles. The authors identify 14 clusters, which they break down into several sub-topics. The authors conclude by providing some conclusions regarding trends and future research directions. With regards to salient topics, cross-citation and network analysis provide a detailed picture of where the literature comes from and where it currently stands. Conclusions are articulated at the theoretical and empirical levels.

Compared with previous hotel performance reviews, the approach followed by this study enables the discovery of an analytical research map, which is able to identify both clusters and sub-topics populating each segment. Researchers are able to position their work and identify issues that are in growth and decline.

All knowledge claims are also to some extent legitimacy claims. No theory can receive serious attention, let alone gain credence, unless it is also seen as legitimate. Philosophers of science have spent decades trying to frame criteria that determine the legitimacy of theories, only to agree to disagree on the matter. Sociologists of science, on the other hand, take a broader view, arguing that rather than seeking ex ante criteria of knowledge it is best to examine how researchers legitimate knowledge in practice.

The purpose of this paper is to explore a conceptualization of shopper as behaviourally distinct from consumer. The authors seek to identify elements foundational to shopper behaviour, using insights from the extant literature. A path-to-purchase framework is proposed, and tested. The framework is further explored as a method for improving shopper segmentation.

Over 308 articles associated with the shopper are examined using a bibliometric methodology. The literature review provides the foundation for a path-to-purchase (PtP) framework. An experimental design online study is undertaken to validate the framework. Structural equation modelling is used to analyse the data. Moderation testing of importance in the model is explored.

The findings reveal five stages through which shoppers’ progress in pursuit of purchase resolution. The exploratory study reveals the positive influence of each stage one on another. Additionally, shopper perception of the importance of the recipient and the occasion moderate relationships associated with purchase outcomes.

The research may be limited by the selection of literature assembled from over 60 years of research, and the online methodology.

The framework is suited for both industry and academia to better address shopper needs. The framework is specific to shopper behaviour relieving some of the conflicting messages which result from the overlay of consumer behaviour on a shopper. The framework describes the processes in purchase pursuit allowing brands and retailers to better support the shopper. Importance as a moderator is explored allowing for new and perhaps better ways to segment shoppers.

This theory building research provides a comprehensive exploration of the shopping literature to propose a PtP framework. The framework provides academicians and practitioners a more detailed method for examining and segmenting shoppers. Through the framework elements specific with each stage can be examined for their suitability as better segmentation tools for brands and retailers to deliver enhanced shopper satisfaction.

This paper aims to present an approach to detect interrelations among product categories, which are then used to produce a partition of a retailer’s business into subsets of categories. The methodology also yields a segmentation of shopping trips based on the composition of each shopping basket.

This work uses scanner data to uncover product category interdependencies. As the number of possible relationships among them can be very large, the authors introduce an approach that generates an intuitive graphical representation of these interrelationships by using data analysis techniques available in standard statistical packages, such as multidimensional scaling and clustering.

The methodology was validated using data from a supermarket store. The analysis for that particular store revealed four groups of products categories that are often jointly purchased. The study of each of these groups allowed us to conceive the retail store under study as a small set of sub-businesses. These conclusions reinforce the strategic need for proactive coordination of marketing activities across interrelated product categories.

The approach is sufficiently general to be applied beyond the supermarket industry. However, the empirical findings are specific to the store under analysis. In addition, the proposed methodology identifies cross-category interrelations, but not their underlying sources (e.g. marketing or non-marketing interrelations).

The results suggest that retailers could potentially benefit if they transition from the traditional category management approach where retailers manage product categories in isolation into a customer management approach where retailers identify, acknowledge and leverage interrelations among product categories.

The authors present a fast and wide-range approach to study the shopping behavior of customers, detect cross-category interrelations and segment the retailer’s business and customers based on information about their shopping baskets. Compared to existing approaches, its simplicity should facilitate its implementation by practitioners.

The purpose of this study is to identify the documents which have had the greatest impact on the Journal of Organizational Change Management (JOCM) articles and to analyze the evolution of the intellectual structure of the journal.

A knowledge‐stock analysis is performed to assess major trends of the JOCM. A bibliometric study is then conducted thanks to citation and co‐citation analysis about the documents which are the most cited by the articles published in the JOCM (between 1995 and 2011).

Through the results of their analysis, the authors: describe the growing stock of knowledge of the JOCM over time; identify the documents having the strongest influence on the JOCM articles; and pinpoint the evolution of the intellectual structure of the journal.

Although the sample of retained articles seems representative of the JOCM publication efforts, the data set presents some limitations. There are also some limits inherent to the research design and to the bibliometric methods. The intention of the present research is to give a quantitative overview of the intellectual evolution of the journal.

Grasping the intellectual development of the JOCM enables researchers and practitioners to better understand how issues are being approached by authors who publish in this journal. It also stimulates the scholarly debate.

This knowledge‐stock and bibliometric study is the first to be concerned with the JOCM.

Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions.

The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects.

More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods.

This study is based on academic papers and research published before 2019. A rich research agenda is designed.

This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.

The purpose of this paper is to identify the evolution of the intellectual structure of international human resource management (IHRM) studies and to propose a theory of an invisible network of knowledge (INK).

Researchers can also use this methodology to explore the knowledge network of their own fields so as to gain a vantage position with respect to their field and conduct seminal research.

The results help to profile the INK production in IHRM and provide important insights with implications for current and future research directions of IHRM studies for management scholars and practitioners.

This study examines the status of contemporary IHRM research over the last decade. This study examines the status of contemporary IHRM research over the last decade. With Social Sciences Citation Index citation data from the top IHRM journal, International Journal of Human Resource Management, this study used citation and co-citation analysis to identify the most important publications, scholars, and research themes in the IHRM area, and then mapped the intellectual structure of IHRM studies.

This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.

Eight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.

The empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.

The extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.