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The workplace is a context of increasing interest in information literacy research, if not necessarily the most visible (Cheuk, 2017). Several studies have described contextual, relationship-based experiences of this subjective, knowledge-development focussed phenomenon (Forster, 2017b). What research contexts and methods are likely to be most effective, especially in workplaces which contain professions of widely differing ontologies and epistemological realities? The paper aims to discuss these issues.

An analysis and description of the value and validity of a “qualitative mixed methods” approach in which the thematic form of phenomenography is contextualised ethnographically.

This paper describes a new research design for investigation into information literacy in the workplace, and discusses key issues around sampling, data collection and analysis, suggesting solutions to predictable problems. Such an approach would be centred on thematic phenomenographic data from semi-structured interviews, contextualised by additional ethnographic methods of data collection. The latter’s findings are analysed in light of the interview data to contextualise that data and facilitate a workplace-wide analysis of information literacy and the information culture it creates.

Insights from recent research studies into information literacy in the workplace have suggested the possibility of an epistemologically justifiable, qualitative mixed methods design involving an ethnographic contextualisation of a thematic phenomenographic analysis of the information culture of an ontologically varied and complex workplace – with the potential for descriptive contextualisation, categorisation and generalisability.

This study scrutinizes the evolution of thematic directions in the domain of growth-oriented women entrepreneurship research over the past two decades. Furthermore, it explores the implications of this evolution for future research and practical endeavors.

The authors conduct a bibliometric analysis of 741 publications from 2004 to 2023. The analysis first examines publication numbers and identifies important journals and articles based on performance analysis. Moreover, using science mapping techniques, the study provides four thematic maps organized into five-year periods, as well as a Sankey diagram.

The analysis reveals a significant surge in research activity, particularly since 2014, in terms of both the quantity and diversity of themes. The findings show that in 2004–2008, six themes were driving the research domain, but in 2019–2023, the number of themes increased to 24. Moreover, this study offers a holistic perspective on prospective research directions, emphasizing two key themes: emerging economies and sustainability.

This study makes an important contribution by bringing together scholarship on women entrepreneurs and growth-oriented ventures. These themes can be a significant factor in stimulating new approaches to economic growth when considered together. Moreover, this study emphasizes the need for a more diverse and inclusive research environment.

The primary objective of this endeavour is to form a retrospective overview of the International Marketing Review (IMR) and map its way forward.

A range of bibliometric techniques has been employed to analyse the performance of IMR and its stakeholders, map the evolution of its thematic and intellectual structures and analyse the factors driving IMR's academic influence and impact

IMR's academic contributions, influence and impact have grown progressively. The thematic structure of the journal has evolved into six clusters. Simultaneously, its research fronts have submerged to six bibliographic clusters, noted as marketing channels, cross-cultural impact on emerging markets, export performance, country of origin (COO), online consumers and global business environment. Among these, the first four are still evolving, suggesting scope for future submissions.

The limitation of this endeavour largely arises from its selection of bibliographic data being confined to Scopus.

To the best of the authors’ knowledge, this is the first objective assessment of the journal, useful to its authors, readers, reviewers and editorial board.

This infecological study mainly aimed to know the thematic and conceptual relationship in published papers in deep learning (DL) and smart manufacturing (SM).

The research methodology has specific research objectives based on the type and method of research, data analysis tools. In general, description methods are applied by Web of Science (WoS) analysis tools and Voyant tools as a web-based reading and analysis environment for digital texts. The Yewno tool is applied to draw a knowledge map to show the concept's interaction between DL and SM.

The knowledge map of DL and SM concepts shows that there are currently few concepts interacting with each other, while the rapid growth of technology and the needs of today's society have revealed the need to use more and more DL in SM. The results of this study can provide a coherent and well-mapped road map to the main policymakers of the field of research in DL and SM, through the study of coexistence and interactions of the thematic categories with other thematic areas. In this way, they can design more effective guidelines and strategies to solve the problems of researchers in conducting their studies and direct. The analysis results demonstrated that the information ecosystem of DL and SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of subjects and concepts in this area.

The paper investigated the thematic interaction of the scientific productions in DL and SM and discussed possible implications. We used of the variety tools and techniques to draw our own perspective. Also, we drew arguments from other research work to back up our findings.

The COVID-19 crisis has adversely affected entrepreneurs, innovators and their ventures and, arguably, entrepreneurship research. This study aims to map the knowledge of entrepreneurship research during the COVID-19 pandemic to provide evidence of literature evolution in the field with the purpose of supporting future decision-making for policymakers, academics and practitioners in the post-COVID-19 era.

The study examines various bibliometric and scientometric indicators of entrepreneurship research in the Web of Science database using bibliometric techniques and visualization tools. Using the information gained, the scientometrics of entrepreneurship research during the COVID-19 time slice (2020–02-12 to 2022–10-15) are synthesized and comprehensively presented, and future research avenues for the post-COVID-19 era are suggested.

The results of rigorous quantitative analyses show that entrepreneurship research activities were not disrupted by COVID-19, although entrepreneurial activities themselves were impacted worldwide. In addition to providing key insights into the research field, including the most relevant keywords, keyword co-occurrences, publication sources, countries' contribution and collaboration, and source co-citations, the conceptual structural analysis separates the current trends (hotspots) into ten themes. Based on the evolution of author keywords and research themes, the study identified numerous future research directions, including 1) entrepreneurship in emerging countries, 2) firm performance in different categories of enterprises, 3) immigrants and transnational entrepreneurs, 4) technology in entrepreneurship education and 5) the impact of COVID-19 on the entrepreneurial ecosystem and entrepreneurship.

By building firm foundations for advancing the field in innovative and systematic ways, this timely study contributes to entrepreneurship literature and facilitates the understanding of the features and structures of entrepreneurship research towards the end of the pandemic. The research also has important implications for research management and entrepreneurship policymaking. The study's main limitation is that the results can only represent the time slice between 2020-02-12 and 2022-10-15.

Policymakers and managers of research and development can utilize this research to prepare a crisis-related minimization handbook in advance.

This first data mapping and thematic analysis research for entrepreneurship during the period of COVID-19 provides the latest knowledge in the field at the beginning of the end of the pandemic. It empowers scholars by 1) providing a one-stop literature overview for this global crisis time slice, 2) identifying research focuses and gaps, 3) developing new research avenues for investigation and 4) contributing conceptual structure for specific entrepreneurship research projects.

This paper responds to a call in the literature for methodological and empirical studies to advance research into accounting narratives, in the light of acknowledged areas of weakness and gaps in the accounting literature and with a view to investigating impression management. A general line of critique in the accounting literature points to a need to expand both the syntactic and thematic dimensions, with a particular focus on developing objective methods of analysis that allow computer‐based measurement. The paper draws on the literature of managerial business communications, supported by that of applied linguistics, in bringing to accounting research a transitivity index and the application of DICTION analysis. Both have the potential to extend computer‐based analysis of accounting narratives, subject to careful initial research design and specification. The potential for a richer empirical analysis is demonstrated through an illustrative empirical application.

Foresight J's journey started in 1999, and in 2022, it marked the conclusion of its 24 years of publication. This paper aims to provide an overall overview of important research trends published in Foresight J between 1999 and 2022 by conducting a quantitative analysis of the journal’s literature. The overarching goal is to provide valuable insights into the dynamics of scholarly communication, aiding researchers, institutions and policymakers in assessing the significance and influence of academic work, guiding future research directions and academic evaluation.

The two bibliometrics methodologies that make up the methodology of this article are scientific mapping and performance analysis. Authors have explained the development and composition of the Foresight J using these methods. The SCOPUS database is being used in current research to analyse several dimensions, such as the evolution of publications by year, the most cited papers, core authors and researchers, leading countries and prolific institutions. Moreover, the conceptual structure, scope, burst detection and co-occurrence analysis of the journal are mapped using network visualization software such as VOSviewer, CiteSpace and RStudio.

With a strong track record of output over the years, Foresight J has continued to develop in terms of publications. It is determined that “Saritas” is the author with the greatest overall impact. However, according to SCOPUS bibliometric data, “Blackman” and “Richardson” are the authors with the greatest relevance in terms of the quantity of articles. In addition, it becomes apparent that the USA, Australia and the UK are very productive nations in terms of publications. The most popular fields of the journal have always been forecasting, foresight, scenario planning, strategic planning, decision-making, technology and sustainable development. These are also the author keywords that appear the most frequently. In contrast, new study themes in the Foresight J include digital technologies, innovation, sustainability, blockchain, artificial intelligence and sustainability.

Several noteworthy research implications are provided by the bibliometric study of Foresight J. “Saritas” is the author with the most overall impact, indicating that the precise contributions and influence of this researcher in the fields of forecasting, foresight and related fields. Given that “Blackman” and “Richardson” are well-known writers, it is also critical to examine the scope and complexity of their contributions to potentially identify recurring themes or patterns in their writing. The geographic productivity results, which show that the USA, Australia and the UK are the top three countries for Foresight J publications, may encourage more research into regional differences, patterns of collaboration and the worldwide distribution of research endeavours in the context of forecasting and foresight. Popular fields including scenario planning, forecasting, foresight and sustainable development are consistent, indicating persistent research interests. Examining the causes of these subjects’ ongoing relevance can reveal information about the consistency and development of scholarly interests over time.

Foresight J’s bibliometric analysis has real-world applications for many stakeholders. It helps editors and publishers make strategic decisions about outreach and content by providing insights regarding the journal’s influence. Assessing organizational and author productivity helps institutions allocate resources more effectively. Policymakers acquire an instrument to evaluate research patterns and distribute funds efficiently. In general, bibliometric study of a journal helps decisionmakers in academic publishing make well-informed choices that maximize the potential of options for authors, editors, institutions and policymakers.

The societal ramifications of bibliometrically analysing Foresight J from 1999 and 2022 are substantial. This analysis highlights, over the past 24 years, research trends, technological developments and societal priorities have changed by methodically looking through the journal’s articles. Gaining knowledge about the academic environment covered by the journal can help raise public awareness of important topics and promote critical thinking. In addition, the analysis can support evidence-based decision-making by alerting decision makers to the influential research that was published in Foresight J. This could have an impact on the course of policies pertaining to innovation, technology and societal development.

This study presents a first comprehensive article that provides a general overview of the main trends and patterns of the research over the Foresight J’s history since its inception. Also, the paper will help the scientific community to know the value and impact of Foresight J.

This research investigates the presence of communitarian philosophy within contemporary Scottish public library strategy, exploring links between philosophy, politics and practice.

The paper follows a qualitative research approach, combining content analysis and discourse analysis methodologies for the analysis of a corpus of Scottish public library trust documentation according to a thematic framework of communitarian values.

The analysis revealed strong links between trust strategy and communitarian values but also highlighted contradictions within this form of communitarianism which belied a deeper neoliberal philosophical foundation. The research therefore identified a communitarian strategic service shift which introduced benefits of social inclusion, community autonomy and common good but also brought concerns of an inherently weakened communal foundation and the survival of a neoliberal status quo.

The analysis is focused on strategy in Scotland only and thus can only claim to be representative of that country. However, the growth in communitarian strategies in the public sector is informed from the analysis undertaken.

The paper provides a novel analysis of public library strategy and thus contributes to the understanding of public library practice in the modern era.

The impacts of communitarian philosophy in the public sphere are under-researched and how these changes impact the mission of libraries needs to be better understood.

This is the first analysis to consider public library strategy from a communitarian point of view. As such, it provides novel insights into a growing area of public service development.

The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984.

A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP.

Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors’ cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North–South divide, signifying insufficient research collaboration between developed and developing countries’ institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested.

This paper provides an increased understanding of the entire PP field and the potential research directions.

To the best of the authors’ knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.

The purpose of this paper is to systematically analyse how building information modelling (BIM) transforms complex infrastructure settings (i.e. airports) around digital technologies by enhancing connectivity and collaboration between major stakeholders and construction technology solutions. The objectives include understanding each project party's perspective for BIM implementation to align their motivations and connectivity along project's supply chain network and how BIM drives construction technology ecosystem uses for a more integrative and collaborative project delivery.

The study adopts qualitative data collection and analysis methods comprising semi-structured interviews, thematic analysis and an explanatory case study of a large-hub airport project.

The study findings show that enabling BIM implementation leads to streamlining construction technology ecosystem uses that increase connectivity within project parties' processes. Airports – as hosting high-value assets – can fast realize value of synergistic activities throughout project delivery by harnessing significant amount of siloed data created by each major party.

The study provides a structured analysis of how complex project settings leverage construction technology uses through their core BIM processes by highlighting multi-party approaches from an ecosystem perspective. This study also contributes to the body of knowledge and practice by presenting a transferrable and scalable approach for leveraging connected construction technology in a large-scale project involving fragmented processes managed by a large number of stakeholders.