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This study reviews the literature on collaborative consumption (CC), depicting the main theoretical lineages of the CC approach while leveraging the findings to suggest promising paths for advancing the literature.

This review is based on a bibliometric approach. The strict research protocol employed led to the inclusion of 249 articles in the descriptive and bibliometric analyses. The co-citation analysis led to the inclusion of 50 co-cited articles in the content analysis.

The descriptive analysis depicts the research profile on CC in terms of main features, yearly evolution of publications and citations, most influential articles and most influential journals. The systematization of the co-citation analysis led to the identification of three complementary theoretical lineages of research on CC: (1) theoretical roots of CC, (2) drivers of CC and (3) the sharing economy: consequences/outcomes. An integrative framework of research on CC schematizing the main theoretical lineages identified is proposed. Based on the critical gaps identified in the literature in CC, an agenda for future research is suggested.

Despite the burgeoning interest in the CC approach, the literature has yet to fully grasp the CC concept's real implications. This study portrays a comprehensive review of the literature on CC; an integrative framework of the main theoretical lineages of research on CC is proposed, and an agenda for future research is suggested based on the critical gaps identified and implications for literature, policy and practice are stated.

This study presents a systematic review of the literature on monetary policy and corporate investment together with bibliometric analysis.

This study selected 455 articles from databases, Scopus and Web of science and the papers are reviewed systematically to identify their theoretical and empirical contributions.

The results reveal that monetary policy can influence corporate investment. Post to the economic crisis (2008), there is an exponential growth in the number of publications. Berger, A., and Hubbard are the two prominent authors based on the highest citation score, whereas Marquez, R., and Vermuelen, P. are the two prolific authors, subject to their highest h-index. Journal of Banking & Finance was the top journal (total citations = 1482) and 5 publications.

This study positively contributes to the comprehensive understanding of corporate investment, monetary policy transmission and firm capital structure choices.

To the best of the author’s knowledge, this is the first study that conducts a systematic review of the influence of monetary policy on corporate investment.

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.

In this systematic review of the literature on women’s entrepreneurship education, this paper aims to examine the current state of the field. The authors analyze publication trends, identify major themes and propose an agenda for future research.

The authors review 363 articles published between 1993 and 2023, to develop a synthesized overview of women’s entrepreneurship education, complete with insights into the journals that have provided the most coverage of this topic, as well as how it has emerged over time.

The authors tracked the evolution of research themes and collaboration networks over a 30-year period. Results show there has been significant growth in research on women’s entrepreneurship education, as evidenced by a surge of publications on the topic and the total number of citations.

The authors categorized and analyzed six thematic clusters within the literature: entrepreneurial intention, ethical perspectives, gender-specific barriers, gender stereotypes, rural entrepreneurship and entrepreneurial self-efficacy. Building on these thematic clusters, this study discusses future research directions to advance the field.

The purpose of this paper is to provide a comprehensive framework that identifies thematic clusters and their interconnections within Global Talent Management (GTM), global careers and talent management (TM).

In this paper, this study conducted a co-citation analysis using bibliographic data to unveil the intellectual connections and relationships among thematic articles related to GTM sourced from the Web of Science.

This review highlights three key research themes: experiences working abroad, TM approaches and the complex nature of GTM as a living system.

The main limitation of this research is the sample itself. Content analysis based on the co-citation method resulted in some more recent releases being omitted.

The practical implications of the paper include providing a structured framework for understanding the complexities of GTM.

Research into the academic literature in this area is divided into various clusters, empirically demonstrating how GTM and global mobility are intertwined, revealing the need for us to more thoroughly comprehend the social ramifications of GTM practices and activities and the need to further analyse the influencing social aspects in a GTM strategy, like diversity, increased mobility and virtual reality.

The analysis revealed the emergence of three distinct thematic groups: (1) global work experiences, (2) TM approaches and (3) GTM.

The aim of the study is to examine the role of crowdfunding in entrepreneurial development with the help of a systematic review of the literature and bibliometric analysis.

The present research employed bibliometric analysis to study collected data from the database. Using proper keywords, data was retrieved from Scopus. With the scaler and analytical method of bibliometric analysis, the research attempts to answer the following questions, including prominent journals, authors, keywords and cluster analysis based on keyword occurrence. The mapping/networking chart is created using the VOSviewer software.

The result of the study suggests that it is an attractive and emerging phenomenon for academicians. The most papers were published in 2021, Small Business Economics and California Management Review are the most prolific journals, while Vismara S is the most significant author with 4 publications and 488 citations. Short JC, School of Management, Royal Holland and USA collaborate most. Cluster analysis of the study will help the future researcher to broaden the existing literature utilising the distinct topics.

This research aids entrepreneurs, academia, crowdfunding practitioners and policymakers in identifying application areas for crowdfunding. In conclusion, crowdfunding will enhance the entrepreneurial ecosystem.

This study elaborates the significance of crowdfunding in the development of entrepreneurship, using SLR and bibliometric analysis. The study findings identified crowdfunding's usage, applications and potential future research areas, as well as evaluated, reviewed and assessed their significance in entrepreneurial development. The theme-based cluster was determined based on the frequency of occurrence of the keywords.

The interest in sustainable human resource management has grown in the last decades. However, comprehensive, and systematic research concentrating on the evolution of this field, is still needed. The purpose of this study is to provide an overview and synthesis of the existing body of knowledge on human resource management (HRM) related to sustainability through a bibliometric study of articles published until 2022, identifying the most relevant research in this field. In the literature review, special attention is given to articles that link sustainable HRM to employees’ attitudes, identifying gaps and future research opportunities.

A bibliometric analysis and literature review was conducted over 105 documents obtained from the WoS database, using VOSviewer software program, from which 27 were selected for full-text reading. The applied database filters were: document type (article and early access); index (SSCI and SCI-expanded) and year (2019–2022).

The results show that: sustainable HRM literature is growing, especially after 2019; “Sustainability” is the journal with more publications; and England is the leading country. The network of co-occurrence of keywords analysis unveiled that performance, job satisfaction and behaviors are the most frequently studied topics in HRM.

For successful adoption of sustainable HRM practices, organizations should engage all staff comprehensively, focusing not only on consistent implementation but also on fostering a supportive organizational climate. This is vital for establishing a sustainable workplace where employees who strongly identify with the organization are less willing to leave it.

Through the Systematic Literature Review carried out on the articles published from 2019 to 2022, it was possible to identify opportunities for future research. These topics include employees' perceptions of the implementation of sustainable HRM practices in companies, as well as the impact of these practices on their attitudes and behaviors, taking into account the various HRM practices.

A large number of organisations are moving towards adopting Industry 4.0 (I4.0), and simultaneously, the emphasis on attaining sustainability development goals is also increasing. Hence, it is imperative to understand the interplay between I4.0 and sustainability. However, the literature addressing the same is still in infancy. Accordingly, the purpose of this study is to fill this gap in the literature by exploring the potential sustainability impacts of I4.0 on the organisations and society in terms of sustainability risks.

To gain an understanding of sustainability aspects in the I4.0 context, relevant literature is gathered using Scopus and Web-of-Science database. An in-depth review of 51 research papers is performed to determine the sustainability risks associated with I4.0.

From the study, a total of 16 sustainability risks are identified, and I4.0 sustainability risk taxonomy is developed. The proposed taxonomy extends the sustainability implications of I4.0 beyond the triple bottom line umbrella and includes the organisational perspective as well. Furthermore, the study provides future research avenues to scholars by positing five potential research questions under different risk management stages.

The study provides an understanding of sustainability risks associated with the adoption of I4.0. The findings will help practitioners streamline their production and operation processes by finding out possible solution to the sustainability risks of their smart factories in advance. The present research will act as a stepping stone towards I4.0 sustainability. The proposed research questions will assist the future researchers in extending the field of I4.0.

To the best of the authors’ knowledge, this is one of the first studies to address the topic of sustainability risks in the context of I4.0.

This study aims to provide insights into different aspects of the extant literature on the effects of dividend announcements. Along with other outputs of a bibliometric study, this study provides deeper insights into the concentration of the extant literature and suggest future research agendas.

This study uses the bibliometric, network and content analysis of the dividend announcement literature indexed in Scopus. This study presents the temporal analysis, the network of authors, countries, author citations and the co-occurrence of author keywords. This study provides the concentration of the extant literature in three clusters and unearth some key future research areas. This study uses the latent Dirichlet allocation method for robustness.

A total of 54 documents examining the US sample have received 1,804 citations. Interestingly, the first article on emerging markets was published in 2002, when at least 34 articles on developed markets had already been published from 1982 to 2001. The content analysis of top-cited literature unveils diverse insights into dividend announcements’ effects on financial markets. Contagion effects negatively impact non-announcing banks, particularly larger ones. Dividend maintenance affects stock market momentum, influencing loser returns. While current dividend/earnings news may not predict future company performance, information content dominates bond market reactions to post-dividend announcements. Concomitantly, while financially constrained firms exhibit short-term gains but worse long-term performance following dividend increases, larger stock dividends send stronger market signals in China.

This study significantly contributes to the bibliometric and content analysis literature by analyzing the sample documents based on the sample examined. To the best of the authors’ knowledge, no previous bibliometric study in this domain has been conducted to explore the markets (developed and emerging) to which the samples examined belong and the quality of publications from developed and emerging markets.

Food literacy is a multidimensional concept that prioritises the aspects individuals require to navigate the contemporary foodscape successfully. The study aims to map the knowledge base and intellectual structure of the concept of food literacy to assess if the most cited definitions reflect these constructs.

The inclusion criteria of full-text, peer-reviewed articles or conference papers, in English, using “food literacy” within the title, abstract, keywords or linked to the research focus produced 538 articles from the Scopus database from its inception until January 31, 2023. Articles were analysed according to exponential growth, geolocations, authors, articles, research areas and keywords using VOSviewer, CiteSpace and Excel.

Food literacy research grew exponentially between 2012 and 2022 at a rate of 50% and spanned 62 research areas, with nutrition and dietetics being the most common. Vidgen and Gallegos were the most cited authors of the most cited article, and Australia was the most influential food literacy research geolocation. Research originating from developing countries within Asia, the Middle East, Africa and South America was underrepresented, and COVID-19 impacted research trends between 2020 and 2023.

It is recommended to link “food literacy” to appropriate publications to increase its visibility and that food literacy be redefined and conceptualised to better reflect its intellectual structure. To complete this task, further research guided by keyword clustering can enhance conceptual understanding.

This study provides new insight into the knowledge base and intellectual structure of food literacy and provides scope for future research to develop the concept further.