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The paper investigates the advantages of graphical mapping of national research publication and citation profiles from scientific fields in order to provide additional information with respect to research performance. By means of multi‐dimensional scaling techniques national social science profiles from seventeen OECD countries and two periods, 1989‐1993 and 1994‐1998, are mapped, each profile represented by a vector of either publication volumes or citation values for nine social science fields. Aside from demonstrating the developments of publication volumes and citedness ranges as well as patterns, the graphical maps display clusters and similarities of national profiles over time. Combined with international rankings of averaged national impact factors (NIF) relative to the average world impact of field (WIF) for the same number of fields and periods, the graphical display supplies additional otherwise concealed information of the differences in research patterns between countries – even when the NIFs are quite similar. The analyses show that low Pearson correlation coefficients can be applied to flag extraordinary instances of either high or low national citation impacts during a period. Most importantly, the graphical maps make a strong case for adjusting or tuning the baseline impact to the actual national publication profiles when comparing NIFs of different countries. A new indicator, the Tuned Citation Impact Index (TCII) is proposed. It is constructed from the amount of expected citations a country ought to have received in each research field aggregated over its true profile. Common baseline profiles, like those of the world or EU, are consequently not regarded as the ideal benchmark. In the case illustrated by the journal publications of the social sciences the paper verifies the hypothesis that a dominant central cluster exists consisting of the large Anglo‐American countries: USA, Canada and the UK. A further hypothesis, that the smaller northern EU countries with English as the second language are located together and close to the central cluster on the publication maps is only partly satisfied in the second period. A third hypothesis, that countries located near the central cluster on the citation maps may hold high(er) NIFs is falsified.

The paper introduces bibliometrics to the research area of knowledge organization – more precisely in relation to construction and maintenance of thesauri. As such, the paper reviews related work that has been of inspiration for the assembly of a semi‐automatic, bibliometric‐based, approach for construction and maintenance. Similarly, the paper discusses the methodical considerations behind the approach. Eventually, the semi‐automatic approach is used to verify the applicability of bibliometric methods as a supplement to construction and maintenance of thesauri. In the context of knowledge organization, the paper outlines two fundamental approaches to knowledge organization, that is, the manual intellectual approach and the automatic algorithmic approach. Bibliometric methods belong to the automatic algorithmic approach, though bibliometrics do have special characteristics that are substantially different from other methods within this approach.

The present chapter demonstrates how the use of neural network software such as CATPACII^TM can aid researchers to map a vast amount of literature in order to identify emerging and established research trends. Furthermore, the use of this methodology allows for the generation of research ideas. This is particularly relevant in view of the substantially increasing number of global scholarly contributions. The utilization of the methodology is exemplified at the intersection of literature bodies in entrepreneurship, information and communication technologies (ICT), and economic development.

Purpose: Since its inception in 1987, the literature on the VUCA that represents the volatile, uncertain, complex, and ambiguous nature of the business environment has progressively increased. This study systematically evaluates the vast literature on the VUCA world. Since review-based studies have been criticised as biased, this study uniquely amalgamates bibliometric analysis with content analysis, thereby taking a research triangulation discourse.

Need of the Study: This study was conducted to consolidate the literature about the VUCA environment and uncover the foundational and emerging themes for future research agendas.

Design/Methodology/Approach: This study conducts a performance analysis and science mapping of 193 carefully selected articles (using PRISMA) published in various sources during 2012–2023. Articles for the study were procured from the SCOPUS database. While performance analysis focused on analysing publication and citation evolution, thematic evolution, leading publications, country publication analysis, and most relevant authors and sources. On the other hand, science mapping revealed conceptual structures (keyword plus co-occurrence analysis and thematic maps) and intellectual structures (co-authorship analysis). VOSviewer and Biblioshiny (R-tool for comprehensive science mapping) were used for this study’s choice of application.

Findings: This chapter concludes with future research agendas using content analysis of the ‘scope for the future research’ section of selected publications and bibliographic coupling (to unearth emerging themes).

Practical Implications: The work presented in this chapter will help the researchers gain a structured conceptual, intellectual, and social understanding of the vast literature on the VUCA environment.

Strategic entrepreneurship (SE) depicts the nexus of strategic management and entrepreneurship, suggesting that firms can create superior wealth when simultaneously pursuing advantage-seeking and opportunity-seeking behavior. As the rapid growth in SE research led to a multidisciplinary, scattered and fragmented literature landscape, the authors aim to structure this research field.

The authors employ a bibliographic coupling and literature review of the strategic entrepreneurship research field.

The authors identify and describe five major research streams with 15 sub-themes in recent SE research. Based on our findings, the authors propose an integrated research framework and research gaps for future research.

To the authors’ knowledge, this is the first review on SE based on a bibliographic coupling.

The disruptive human resource management (HRM) technologies are now considered a significant facilitator to change and benefit the entire HRM landscape. This view needs to be further verified by reviewing the knowledge on the subject in the empirical research landscape. Thus, the study's objectives were to find (1) the current knowledge and (2) the areas where empirical research is lacking in disruptive HRM technologies.

The article is a literature review that was followed by the systematic literature review and the preferred reporting items for systematic reviews and meta-analyses (PRISMA). The review considered 45 articles published during the 2008–2021 period extracted from the Scopus database, and bibliometric analysis was performed to achieve the research objectives.

The results found that scholarly attention has been given to electronic HRM (E-HRM) rather than the disruptive HRM technologies. The areas investigated include the determinants of intention, adoptions and use of E-HRM and the outcomes of E-HRM adoptions and use. These outcomes can be further divided into general outcomes and HRM outcomes.

The findings reveal gaps in E-HRM research and disruptive HRM technologies remain untapped in the empirical research landscape. Hence, the study findings provide some implications for future research and applications.

The study found empirically proven determinants of E-HRM intention, adoptions and use and E-HRM adoptions and use outcomes. These were found in the studies conducted during the 2008–2021 period.

顛覆性人力資源管理技術被認為是一個可改變、並幫助整個人力資源管理格局的重要誘導者; 這個看法、需透過檢核在實證研究範疇裡就有關議題的資料、才能作進一步的核實。因此，本研究擬了解 (1): 我們目前對有關議題的認知，以及 (2): 就顛覆性人力資源管理所進行的實證研究有哪些不足之處。

本文是一個文獻探討。研究人員採用系統文獻綜述研究法，以及系統綜述和 meta分析的首選報告項目。研究涵蓋45篇於2008年至2021年期間發表的學術文章; 這些文章均取自 Scopus資料庫。研究人員進行文獻計量分析，以達到研究的目標。

研究結果顯示、被研究探索的是電子化人力資源管理 (E-HRM) ，而不是顛覆性人力資源管理技術。被研究的範疇包括使用電子化人力資源管理的決定因素，以及使用後的結果。使用後的結果再細分為一般性的結果、和與人力資源管理有關的結果。

研究結果顯示、在實證研究的範疇裡，電子化人力資源管理和顛覆性人力資源管理技術的研究均存在未被探索的研究缺口。因此，研究結果為今後的研究和有關的應用提供了啟示。

本研究發現並確認經實證證明的使用電子化人力資源管理的決定因素，以及使用後的結果。研究結果乃基於檢核於2008年至2021年期間進行的學術研究而得來的。

顛覆性人力資源管理技術、系統文獻綜述、系統綜述和meta分析的首選報告項目 (PRISMA)

There is an increased interest in e-tailing research in the literature, along with the development of new technologies and e-tailing platforms based on consumer and industry perspective. The purpose of this paper is to examine the periodic changes within the content of e-tailing literature.

The data set of this study includes academic papers cited in the Web of Science, which was published between 2000 and 2017. In this context, a co-word analysis was conducted using SciMat software based on the keywords, including “online retailing,” “e-tailing,” “e-store,” “online store,” “e-tail” and “online retail,” found in the titles of published academic articles.

In this study, three different periods of the e-tailing study field were examined, major and emerging themes for each period were determined with a comparative bibliometric analysis. In this regard, consumer acceptance, choice and satisfaction were found as the major themes in the conceptualization of e-tailing research.

Understanding the transition from traditional marketing channels to online channels is an essential factor for retailers as well as consumers’ use and the acceptance of new technologies. This study contributes to the effective execution of the e-tailing systems.

A semantic analysis of the “Weekly Subject Index Stop Word List” of Current Contents of the Institute for Scientific Information (ISI) as well as of the full‐stop word and semi‐stop word lists of the Permuterm Subject Index of Science Citation Index was carried out. Selected terms from the first issues for 1997, 1999 and 2000 of the CCODAb/Life Sciences, of the first issues for 1997 and 2000 of CCOD Proceedings, as well as from the SCI CDE for 1997 and January‐June of 2000 were screened. True full‐stop and semi‐stop words commonly occur in the dictionaries of these databases which proves that there is an abundance of meaningless terms in titles and abstracts. On the other hand, many synonyms and antonyms are absent in these lists. Proper list enlarging could contribute to more effective preparation of both printed reference publications and large databases thus ensuring a more economic information retrieval by practical users and scientometricians. The necessity of an improved, semantically oriented policy in preparing the lists of fullstop words and semi‐stop words used in modern databases worldwide is emphasised. Journal editors should encourage authors to reduce stop‐word usage in article titles and keyword sets.

Prior research acknowledges the lack of theorizing of markets within marketing. This paper aims to capture the emerging themes linked to different conceptualizations of the market and provide a language system for theorizing the market.

The paper conducts a bibliometric analysis of 177 articles and 22 keywords and adopts Mele et al.’s (2015) market conceptualization to interpret the results.

The bibliometric analysis detects five thematic clusters: market driving, market exchange, market shaping, market practices and macro-marketing. Based on their degrees of relevance and development, these are arranged into two groups. The analysis of these two language systems shows a shift toward a more comprehensive conversation on how the market is conceptualized. The authors synthesize this shift under the expression “from market driving to market shaping.”

The comparison of the two language systems allows the argument that market is a complex concept and that to understand it necessitates a rich set of terms.

The different ways of conceptualizing the market mean that managers face a choice when analyzing their market situations (what language system to use). This choice will be consequential for their subsequent actions.

This paper contributes to the identification of two rival language systems and narratives: market driving and market shaping.

The purpose of this paper is to analyse and classify the literature that links slack resources with performance, determining the diversity and coherence within the field, as well as possible future research trends.

Using Web of Science information, a dynamic co-citation and co-word analysis was developed, enabling identification of the theoretical foundations that have accompanied the study of the slack–performance relationship and the research trends associated with these types of resources and their temporal evolution.

Document co-citation and co-word analysis and its evaluation present a growing diversity of literature but which maintains links to the core works, giving coherence to this research field. The key theoretical approaches remain stable over time but with fragmentation of the topics analysed. Results allowed identification of a number of emerging research trends, achieving a level of consolidation within the field, with research fronts linked to those trends.

Slack resources have a large trajectory within the management field. However, it is believed only basic bibliometric analyses of the literature have been made and none has developed an analysis of the evolution. This work is useful not only for incipient researchers to better understand the theoretical bases upon which the current work is based but also for the identification of possible gaps and unanswered research questions. The results complement previous research, with qualitative or meta-analytic perspectives, fundamental in understanding the structure and evolution of this research field.