Search results

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)

Innovation management in nanotechnology entails the strategic supervision of the entire process of creating and executing novel concepts, technologies and products at the nanoscale. By efficiently overseeing innovation in nanotechnology, organizations can leverage the revolutionary capabilities of nanomaterials and nanodevices to develop state-of-the-art solutions, improve their competitive edge and tackle global issues. Bibliometric studies are scarce related to the field of innovation management and nanotechnology. The purpose of this study is to assess the existing knowledge pertaining to the keywords, innovation management and nanotechnology and identify potential research implications for the future.

This study has been conducted systematically using the revolutionary PRISMA methodology. Research articles (46) were retrieved from Scopus and Web of Science databases using the keywords “Nanotechnology” and “Innovation Management” and 22 articles were systematically selected. VOSviewer software was used to conduct keyword co-occurrence analysis to identify under explored research areas.

By integrating the principles of lean production into innovation management practices in nanotechnologies, organizations can enhance their processes, promote continuous improvement, create value for customers and enhance their ability to innovate effectively in a competitive and dynamic environment. Examining the management of innovation in nanotechnology has revealed the potential to alter the future trajectory of technological advancement worldwide.

This research provides a new perspective on the combination of innovation management and nanotechnology, integrating lean production principles. This study uses a systematic bibliometric analysis to discover underexplored research areas and highlights the potential for transformation.

This bibliometric literature review aims to uncover the (1) intellectual foundations and (2) topical evolution in the field of career aspiration research.

We employed the systematic literature review methodology following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. According to the predetermined criteria, 286 articles were included from the Web of Science database. Then, we employed performance analysis, science mapping and natural language processing to address our research objectives.

Co-citation analysis uncovered four foundational themes: (1) gender and leadership aspiration, (2) Social Cognitive Career Theory, (3) process of career development and (4) adolescents’ career aspiration. Moreover, co-word analysis showed that scholarly foci have shifted from adolescents’ career development to diverse streams. This shift was indicated by the exploration of additional research samples, such as university students, and topics related to specific aspirations (e.g. entrepreneurial and managerial aspirations) and gender issues (e.g. women leadership and gender stereotypes).

Although this review has limitations related to data selection, it presents implications for practice, theory and future research on career aspirations.

The study illuminated the past and development of a research domain, thus advancing the understanding of career aspirations and inspiring future research.

Green innovations (GI) is an emerging field that presents an opportunity to thrive in the competitive market. Nevertheless, in the field of green innovation, there is no clear and complete picture. To fill this gap the current study was conducted with the following objectives. (1) To identify existing knowledge on green innovation and offer bibliographic insights through a systematic literature review (SLR), (2) To comprehend the areas in which research is lacking within the territory of green innovation.

The SLR methodology was employed in this study, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. A total of 381 articles published between 2015 and 2023 were extracted from Lens org. database for review. Additionally, a bibliometric analysis was conducted to fulfill the research objectives.

The findings revealed that the field of green innovation lacks sufficient scholarly attention, despite being an emerging area. As a result, several gaps have been identified, encompassing various aspects of green innovation. These gaps include areas such as green innovation behavior, green finance, barriers to green innovation, green product innovation, green technological innovation and more.

This study adds to the existing body of knowledge on green innovation by addressing identified knowledge gaps. In particular, this knowledge contributes to future researchers aiming to design and conduct studies that target these identified research gaps.

This research aims to explore whether or how organizations adopt people analytics (PA), its value and potential socio-technical factors that can enable or hinder PA projects by disrupting and reshaping human resource management. We do this by focusing on the Italian context.

We conduct a scoping review of data collected between 2018 and 2022 via Google Alerts (GA), a content change detection and notification service that is gaining popularity in scholarly research.

Our findings suggest that the diffusion of PA applications in Italy, especially those of a descriptive nature, is growing. Most of the existing PA applications are positioned in a positive technocratic light, envisioning the value of PA for both employees and organizations. The value for the latter appears to be direct, while the value for employees is realized through organizational initiatives. The findings also suggest that while enablers can vary between PA application types, the barriers, especially technological and environmental, are generic for both descriptive and predictive/prescriptive PA applications.

Theoretically, we propose a framework for analyzing PA applications, their values, enablers and barriers. Methodologically, we present and describe in detail a novel approach, drawing on GA that can be used to study PA in specific contexts. Practically, our study serves as a helpful point of reference for managers planning or implementing PA in Italy, for benchmarking PA in Italy over time and for comparative international studies.

Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).

A bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.

The results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.

Mapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

Career adaptability is emerging as an important research area in today's uncertain, volatile world of work created by the COVID-19 pandemic. The present study focuses on career adaptability research post-COVID-19 by scientifically capturing the literature evolution, hotspots and future trends using bibliometric analysis.

The Scopus database, due to its vast and quality literature, was used to search the papers from the period 2020 to 2023. Bibliometric data were extracted and analyzed from the relevant literature. For further scientific mapping, VOSviewer and Biblioshiny software tools were used.

Findings of the analysis suggest a positive research trend related to career adaptability research post-Covid. Keyword analysis revealed noteworthy clusters and important themes. Bibliometric visual networks regarding authors, sources, citations, future themes, etc. are also presented from the 441 analyzed publications with comprehensive interpretation.

The literature for carrying out the bibliometric analysis was confined to the Scopus database. Other databases in combination with different software can be used for future niche research. From the analysis, future research avenues and practical interventions are presented which have significant implications for future researchers, career counselors and managers.

The study summarizes the recent literature on career adaptability in the aftermath of the pandemic and makes a novel contribution to the existing literature. A reliable study has been provided by the authors using the scientific bibliometric technique. The study highlights emerging research trends post the pandemic. The results are concluded with further suggestions which can guide future research related to the topic.

This study aims to identify the themes of entrepreneurial intention and develop an integrated conceptual framework for the antecedents and outcomes of entrepreneurial intention.

A Systematic Literature Review (SLR) is conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach (PRISMA). In total, 185 articles from six databases between 2010 and 2023 are included. A bibliometric analysis is performed using VOSviewer.

Unearthed are five pivotal themes, namely, personality traits, educational, contextual and cognitive factors, that profoundly influence entrepreneurial intention to deepen the understanding of nascent entrepreneurial behavior and illuminate new avenues for research in this domain.

This study relied on six databases and 185 papers from scholarly journals written in English. Articles published before 2010 and after 2023 are not considered. It proposes an integrated conceptual framework incorporating personality traits and educational, contextual and cognitive factors for intention formation. The incremental aspect of augmenting Social Cognitive Career Theory (SCCT) theory is also explained.

Arms practitioners with the crucial insights needed to embark on nascent entrepreneurs’ entrepreneurial journey early in crafting effective policies, empowering them to spearhead economic growth and innovation at both the firm and national levels.

This study shows the nexus among personality traits, educational, contextual and cognitive factors, entrepreneurial intention and nascent entrepreneurial behavior with a solid theoretical foundation under one integrated conceptual framework while augmenting SCCT, offering a fresh and innovative perspective on nascent entrepreneurial behavior.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.