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The objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature and to point out future research agenda.

The authors conducted a bibliometric analysis of scientific publications based on 482 documents collected from the Scopus database and a co-citation analysis to provide an overview of business model studies related to Industry 4.0 base technologies. After that a qualitative analysis of the articles was also conducted to identify research trends and trajectories.

The results reveal the existence of five research themes: smart products (cluster 1); business model innovation (cluster 2); technological platforms (cluster 3); value creation and appropriation (cluster 4); and digital business models (cluster 5). A qualitative analysis of the articles was also conducted to identify research trends and trajectories.

First, the dataset was collected through Scopus. The authors are aware that other databases, such as Web of Science, can be used to deepen the focus of quantitative bibliometric analysis. Second, the authors based this analysis on the Industry 4.0 base technologies identified by Frank et al. (2019). The authors recognize that Industry 4.0 comprises other technologies beyond IoT, cloud computing, big data and analytics.

Drawing on these analyses, the authors submit a useful baseline for developing Industry 4.0 base technologies and considering their implications for business models.

In this paper, the authors focus their attention on the relationship between technologies underlying the fourth industrial revolution, identified by Frank et al. (2019), and the business model, with a particular focus on the developments that have occurred over the last decade and the authors performed a bibliometric analysis to consider all the burgeoning literature on the topic.

This paper combines the literature on knowledge transfer and that on organizational behavior to analyze how perceived empowerment and perceived engagement affect knowledge transfer offices’ (KTOs’) performance, measured in terms of the number of license agreements.

The authors measured the cognitions which constitute perceived empowerment and perceived engagement through a survey sent to Italian KTOs’ professionals. The authors performed “fuzzy set qualitative analysis” to investigate if this cognition, together or in isolation, may influence KTOs’ management performance, measured by the number of license agreements.

The results highlight the role of individual cognitions in influencing KTOs’ performance. Furthermore, an important finding from the analysis of the main configurations is that the co-presence of perceived engagement and perceived empowerment leads to more license agreements only in the presence of specific individual cognitions. More precisely, the level of organizational citizenship behavior, the degree to which an individual influences results at work (degree of impact) and the value of a work goal (degree of meaning) are the cognitions which lead to a higher number of license agreements.

Despite the growing interest in the investigation of the determinants of KTOs’ performance, a relevant research gap still concerns the explanation of KTOs’ performance considering individual cognitions such as attitudes, norms, perceived behavioral control and intentions. This study looks at the combined effect of the individual cognition of perceived engagement and perceived empowerment on KTOs’ performances.

This study aims to understand if and how European digital innovation hubs (DIHs) filling the role of knowledge brokers (KBs) can support the digital transformation (DX) of small and medium-sized enterprises (SMEs) by triggering open innovation (OI) practices.

After presenting a conceptual model of reference, a survey and a subsequent in-depth interview were conducted to capture evidence from Italian DIHs. These structures were selected for their growing importance, as confirmed by the National Plan for Industry 4.0.

The findings highlight that Italian DIHs act not only as KBs but also as knowledge sources that give rise to a digital imprinting process that is able to shape the DX of SMEs.

Research on knowledge sharing and OI has mainly focused on large firms. The study covers the gaps identified in the literature by considering the role of KBs in enabling SMEs to embrace DX.

This study aims to combine open innovation (OI) and organizational learning (OL) literature in the context of strategic alliances.

The authors develop a conceptual framework that links OI to OL literatures. The authors empirically validate this framework through four representative cases of dyadic strategic alliances in which the allied partners have (mainly) adopted an inbound or outbound OI strategy and (mainly) used an experiential or experimental learning approach to access knowledge in the alliance.

The authors propose and validate a framework that links two well-known OI strategies (inbound and outbound) and two types of OL, namely, experiential and experimental learning. This, in turn, allows us to propose four different typologies of learning opportunities that could be pursued by alliance partners.

The research offers a framework that links experiential and experimental learning to inbound and outbound OI strategies. However, the authors focused on inbound and outbound OI. The authors are aware that sometimes coupled innovation could take place in alliances.

This study proposes best practices for companies willing to open their innovation processes with alliance partners by bearing in mind the learning outcomes that may be exploited through the alliance.

This study highlights four alliance archetypes emerging from the nexus between OI strategies to OL methods.

This study aims to understand how open innovation (OI) environments can help organizations in implementing knowledge sharing (KS) practices defusing KS barriers.

An in-depth case study analysis on the strategic technology and innovation management (STIM) consortium at the Institute of Manufacturing of the University of Cambridge was performed during the 2019 and 2020 STIM program editions. To analyze data, this paper used the interpretive structural model on a sample of 20 managers participating in the STIM consortium, and this paper carried out an exploratory in-depth case study analysis to validate the results.

The findings shed light on the role of OI environments in defusing KS barriers in the process of inter-organizational KS.

Notwithstanding the importance of KS practices among organizations, only a few studies have recognized and investigated the role played by OI arrangements in enhancing KS practices.

This study investigates the role of “soft” factors of total quality management – in terms of empowerment and engagement of employees – in facilitating or hindering organizational performance of the university technology transfer offices.

The authors developed an Ordinary Least Squares (OLS), multiple regression model to test if empowerment and engagement affect organizational performance of the university technology transfer offices.

The authors found that “soft” factors of total quality management – in terms of empowerment and engagement – facilitate the improvement of organizational performance in university technology transfer offices.

The authors’ analysis shows that soft total quality management practices create the conditions for improving organizational performance. This study provides practical implications by showing that, in the evaluation of the technology transfer office, not only the “hard” variables (e.g. number of employees and employee experience) but also the “soft” one (e.g. empowerment and engagement) matter. Therefore, university technology transfer managers or university technology transfer delegates should take actions to promote not only empowering employees but also create a climate conducive to employees' engagement in the university technology transfer offices.

With regards to the differences in organizational performances of university technology transfer offices, several studies have focused their attention on technology transfer professionals in technology transfer offices, but only a few of them have examined the “soft side” of total quality management. Thus, this study examines the organizational goals of technology transfer offices through “soft” factors of total quality management in terms of empowerment and engagement employees.

This paper aims to explore the transformative influence of social media applications on the digital evolution of banks. Using a multiple case study approach, this study investigates how Italian banks have adopted social media in their digital transformation. The study seeks to uncover strategies used by banks to maximise the benefits of social media platforms and assess the outcomes and challenges faced during this process. The results provide valuable insights for banks navigating digital transformation, emphasising the importance of organisational culture, client engagement, financial innovation and proactive response to fintech disruptions.

This study uses a multiple case study approach to investigate the influence of social media applications on the digital transformation of banks. Six Italian banks that integrated social media into their digital transformation efforts are analysed. The research examines the strategies used by these banks to effectively leverage social media platforms. The outcomes and implications of these initiatives are scrutinised to discern both positive impacts and challenges faced by banks and customers. The research methodology involves in-depth analysis of case studies, incorporating insights from managerial interviews to underscore key aspects essential for successful digital adaptation in the banking sector.

This study reveals profound impacts of digital transformation on the banking sector, emphasising key implementation areas. Insights gleaned from case studies of six Italian banks underscore the transformative influence of social media applications. Results highlight positive impacts, including enhanced customer service, engagement, financial literacy and community building. Managerial interviews underscore five critical aspects: the imperative for a new organisational culture, a focus on millennial clients, understanding and offering new financial instruments and proactive responses to challenges posed by emerging fintech companies. Successful adaptation necessitates attention to organisational culture, client engagement, financial innovation and proactive response to fintech disruptions. The findings contribute to the evolving understanding of the transformative role of social media in reshaping the banking industry.

This paper fills a critical research gap by delving into the challenges specific to banking institutions during the implementation of social media strategies amid digital transformation. While existing literature predominantly highlights positive impacts, this study pioneers a comprehensive exploration of unique hurdles faced by banks. The multiple case study approach, focusing on six Italian banks, contributes original insights into the strategies used to maximise social media benefits. The research provides a nuanced understanding of both positive impacts and challenges encountered, offering valuable guidance for refining social media approaches in the ever-evolving digital landscape. This contributes to the existing body of knowledge and aids banks in navigating their digital transformation journey effectively.

The purpose of this study is to identify the determinants of success in peer-to-peer (P2P) lending campaigns, especially amid global financial disruptions like the COVID-19 pandemic. Addressing a notable gap in current research, we explore how factors such as firm uncertainty, loan characteristics (interest rates and maturity) and venture quality (human, social and intellectual capital) influence P2P lending effectiveness. Using multiple regression analysis on data from 523 projects on the October platform, our study aims to enhance the understanding and operational efficiency of P2P platforms, contributing to a more resilient financial ecosystem.

This study employs a quantitative research design using multiple regression analysis to examine the impact of specific variables on the success of P2P lending campaigns. Data were collected from 523 concluded P2P lending projects on the October platform, spanning from 2015 to 2021. Variables of interest include the level of uncertainty of the firm, loan characteristics such as interest rate and maturity and the quality of the venture assessed through human, social and intellectual capital. This method allows for a robust analysis of the factors contributing to the success of P2P lending within a dynamic financial context.

The findings of this study reveal that the success of P2P lending campaigns is significantly influenced by the level of uncertainty of the firm, the interest rate of the loan and the quality of the venture. Specifically, higher uncertainty in firms correlates negatively with campaign success, while competitive interest rates positively impact funding outcomes. Furthermore, ventures that demonstrate robust human capital, particularly those with management teams that possess diverse skills and high qualifications, tend to attract more funding. These results underscore the critical role of strategic financial and human resource planning in enhancing the effectiveness of P2P lending platforms.

This study contributes uniquely to the literature by integrating multiple variables – firm uncertainty, loan characteristics and venture quality – into a comprehensive analysis of success factors in P2P lending. It addresses the scarcity of research examining the combined effects of these factors, particularly in the context of global financial disruptions like the COVID-19 pandemic. By focusing on a specific European platform during a dynamic period, this research provides new insights into how P2P lending can adapt to and thrive amid financial crises. The findings offer valuable guidance for both practitioners and policymakers aiming to optimize P2P lending practices in uncertain economic landscapes.

This paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.

To explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.

Our analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.

This study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.

Business accelerators facilitate new venture creation, and most research on the subject focuses on the performance of accelerated ventures. This paper aims to understand what entrepreneurs value in business accelerators and how this differs for women- and men-led ventures. The authors suggest that venture growth stage may play a mediating role in these relationships.

The authors use the resource-based view perspective to develop models of women- and men-led ventures’ valuation for business accelerator services. They also draw upon a database of 2,000 US entrepreneurs.

The authors found that, compared to men, women entrepreneurs place greater value on knowledge transfer benefits (i.e. business skills education) but lower value on networking benefits offered by accelerators. However, there are no significant differences in the valuations for these services between genders for high-growth ventures. Additionally, compared to men, women leading high-growth ventures place greater value on access to potential investors or funders.

This research serves as a practical guide for accelerator administrators and marketers who seek to adjust their business support offerings based on the value placed for the services by different populations of entrepreneurs.

The authors provide a business accelerator user’s perspective and highlight differences in valuation of accelerator services by women- and men-led ventures at different stages of venture growth.