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Corporate crime is prevalent and imposes enormous costs on society, yet our understanding of its antecedents remains poor, especially in relation to executive characteristics. In this study, we examine the influence of CEO childhood social class on corporate crime. Using a unique data set of CEOs at the largest US corporations, we consider CEO childhood background and develop the argument individuals raised in middle-class families have a greater disposition to commit wrongdoing within the corporations they lead. Specifically, growing up middle-class leaves a lasting status-anxiety imprint, which increases the tendency to engage in corporate crime to preserve or enhance social status. Furthermore, we show two status-anxiety-minimizing factors – Ivy League education and membership in a prominent golf club – weaken the effect of middle-class upbringing on corporate crime. Our findings suggest childhood social class has significant explanatory power for executive behavior and corporate outcomes.

The purpose of this study is to provide a comprehensive bibliometric analysis of publications in the Journal of Public Procurement (JoPP) from 2001 to 2021. The study provides insights into trends in publications, prominent publication themes, influential authors, institutions and countries that have prominently been associated with the journal’s journey.

The study used a bibliometric and content analysis approach using the VOSviewer software to develop insights into the trends, structures and patterns in publications in the journal. Data for the study was extracted from the Scopus and Google Scholar databases.

The study established that there has been consistent growth in the number of papers published by the journal within the last two decades. Yearly average publication by the journal stood at 14 papers between 2002 and 2009, with the annual average rising to approximately 18 papers between 2010 and 2021. The trend in publication has been established and identified the influential citations and contributors to the journal. The study has also clustered out the thematic structures in journal’s publications. The prominent and emerging research issues in the public procurement environment needing immediate research attention have been highlighted.

The study is a one-journal bibliometric analysis and subsequently ignores publications on public procurement from other journals.

The findings of this study highlight to the research community the contributions of JoPP to the public procurement discourse and present important avenues for future research agenda.

To the best of the authors’ knowledge, this study is the first bibliometric study for the JoPP, providing detailed bibliometric indexes of the 21-year period of the journal’s publications. The study comprehensively analyses the contributions in the JoPP to assess the trend and scope in publications in the field of public procurement and draws attention to emerging concerns and critical issues of neglect requiring research attention in the journal.

The present study explores gender inequalities in the entrepreneurial landscape in Romania, based on Global Entrepreneurship Monitor (GEM) data, highlighting similarities and differences between women and men entrepreneurs. Even if the GEM reports include data on entrepreneurship since 1999, Romania has been among the participating countries only since 2007 for the Adult Population Survey (GEM, APS). Thus, to include Romania in the analysis, the data from this study were selected for nine years, namely from 2007 to 2015. Our results indicate that among Romanian men and women, similar drivers influence the odds of engagement in entrepreneurial activities relative to not being involved in businesses. For both men and women, having confidence in their knowledge and skills had the highest odds ratio values. Also, identifying opportunities proved to be positive and significant for both genders, while fear of failure had the opposite effect. Knowing other entrepreneurs can lead to great benefits generated through social exchange. Findings reveal that the external knowledge that an entrepreneur’s environment gives rise to can prove to be supportive in the discovery of opportunities and their exploitation.

This paper aims to explore the prevalence of undeclared activities conducted on digital labour platforms, and then to discuss what policies are likely to be more effective in order to prevent the growth of the informal activities on these platforms.

To depict the profile of the digital worker conducting undeclared activities, the sectors where undeclared activities are more prevalent and the effectiveness of deterrent policies, data are reported from 2019 Special Eurobarometer survey covering the European Union member states and the UK.

The finding is that 13% of undeclared activities are conducted on digital labour platforms. This practice is more common amongst men, those married or remarried, those living in small/middle towns, in sectors such as repairs/renovations, selling goods/services, assistance for dependant persons, gardening and help moving house. The higher the perceived sanction, the lower the likelihood of undertaking undeclared activities on digital labour platforms. Intriguing, a higher risk of detection is associated with a higher likelihood to use digital labour platform for undeclared activities.

The attitudes toward risk can be interpreted closer to the gaming context, and not to the working environment, looking at platform workers as being involved in a state versus individual game. Policy makers should consider improving the correspondence of laws and regulations between countries and offering operational assistance for suppliers and consumers.

This is the first paper to explore the prevalence of undeclared activities conducted on digital labour platforms and to outline the policy measures required to reduce this practice.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

This paper aims to explore how entrepreneurs use social media (SM) to develop their organisational identity within business networks.

A single embedded case study was used comprising a case firm entrepreneur and eight connected network actors within an artisan food context in Ireland. Data was collected using an in-depth interview complemented with content analysis of networked firms’ Facebook posts (N = 1,652) over a three-year period.

This paper identifies four common network processes through which entrepreneurs can leverage SM to develop their organisational identity within networks. The processes are network relating, collaborating within networks, interacting with trends and connecting with community.

Findings are limited to the Irish artisan food sector and explore identity development through a single SM platform. The applicability and variation of use of the processes across industries would serve to further refine the processes identified.

Practically, the four processes through which identity within a network can be developed using SM can help entrepreneurs to access and position themselves within business networks, gain access to resources and overcome the classic limitations of newness and smallness.

This paper provides a conceptual framework illustrating the processes involved in developing entrepreneurial organisational identity within business networks using SM. This paper adds to a growing literature that places interaction at the heart of identity development and responds to calls to further understanding of the process of identity development for entrepreneurial ventures.