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PurposeWhile different attempts have been made to use artificial intelligence (AI) to codify communicative behaviors and analyze startups' video presentations in relation to crowdfunding projects, less is known about other forms of access to entrepreneurial finance, such as video pitches for candidacies into startup accelerators and incubators. This research seeks to demonstrate how AI can enable the startup selection process for both entrepreneurs and investors in terms of video pitch evaluation.Design/methodology/approachAn AI startup (Speechannel) was used to predict the outcomes of startup video presentations by analyzing text, audio, and video data from 294 video pitches sent to a leading European startup accelerator (LUISS EnLabs). 7 investors were also interviewed in Silicon Valley to establish the differences between humans and machines.FindingsThis research proves that AI has profound implications with regards to the decision-making process related to fundraising and, in particular, the video pitches of startup accelerators and incubators. Successful entrepreneurs are confident (but not overconfident), engaging in terms of speaking quickly (but also clearly), and emotional (but not overemotional).Practical implicationsThis study not only fills the existing research gap but also provides a practical guide on AI-driven video pitch evaluation for entrepreneurs and investors, reshaping the landscape of entrepreneurial finance thanks to AI. On the one hand, entrepreneurs could use this knowledge to modify their behaviors, enabling them to increase their likelihood of being financially backed. On the other hand, investors could use these insights to better rationalize their funding decisions, enabling them to select the most promising startups.Originality/valueThis paper makes a significant contribution by bridging the gap between theoretical research and the practical application of AI in entrepreneurial finance, marking a notable advancement in this field. At a theoretical level, it contributes to research on managerial decision-making processes – particularly those related to the analysis of video presentations in a fundraising context. At a practical level, it offers a model that we called the "AI-enabled video pitch evaluation", which is used to extract features from the video pitches of startup accelerators and incubators and predict an entrepreneurial project's success.

PurposeThe purpose of this study is to map the intellectual structure of the research concerning conflict and conflict management in virtual teams (VT), to contribute to the further integration of knowledge among different streams of research and to develop an interpretative framework to stimulate future research.Design/methodology/approachA data set of 107 relevant papers on the topic was retrieved using the Web of Science Core Collection database covering a period ranging from 2001 to 2019. A comparative bibliometric analysis consisting of the integration of results from the citation, co-citation and bibliographic coupling was performed to identify the most influential papers. The systematic literature review complemented the bibliometric results by clustering the most influential papers.FindingsThe results revealed different intellectual structures across several types of analyses. Despite such differences, 41 papers resulted as the most impactful and provided evidence of the emergence of five thematic clusters: trust, performance, cultural diversity, knowledge management and team management.Research limitations/implicationsBased on the bibliometric analyses an interpretative research agenda has been developed that unveils the main future research avenues. The paper also offers important theoretical contributions by systematizing knowledge on conflict in identifying VTs. Managerial contributions in the form of the identification of best practices are also developed to guide conflict management in VTs.Originality/valueThe uniqueness of this paper is related to its effort in studying, mapping and systematizing the knowledge concerning the topic of handling conflicts in VTs. Considering the current contingencies, this research is particularly timely.

PurposeThe purpose of this paper is to clarify the underdeveloped conceptualization of a particular type network rents, defined as knowledge recombination rents, related to the possibility for a firm to transfer and recombine knowledge within and across its portfolio of inter-organizational relationships.Design/methodology/approachAdopting a contingency approach, the authors develop a comprehensive model with propositions drawn from an original synthesis of the extant literature on the management of inter-organizational relationships.FindingsThe authors summarize the most important internal and external variables that explain how knowledge recombination rents arise within a firm's portfolio of inter-organizational relationships. The authors create a seven-proposition model that considers: an "internal fit," related to internal contingencies of the firm, specifically life stage and its strategy; an "external fit," related to external contingencies of the network of the firm, specifically past experience and current portfolio structure.Research limitations/implicationsThe model is theory driven. Future research should validate empirically the relations proposed, especially in different industries and contexts.Practical implicationsThe model, beyond the fact of being theoretically sounded, is also completely practical oriented. Indeed, the authors developed a comprehensive model articulated in seven propositions which relationship managers can easily use to analyze and manage their portfolios of inter-organizational relationships.Originality/valueThe model allows us to assert that the value of an inter-organizational relationship is neither fixed nor just related to the single dyadic interaction; rather before engaging with a relationship is crucial to ponder possible benefits and harms. This is the central element in the contribution that develops an easy-to-use and comprehensive model based on best practices.

PurposeIn transitional economies, government support (GS) is considered to influence the development of the economy and industries and, consequentially, firms' intellectual capital (IC). However, empirical research has yet to explore the micro-mechanisms through which GS operates. Hence, the purpose of this study is to conduct an empirical inquiry into the specific role of GS on IC, considering the mediating effect of firm operational performance (OP).Design/methodology/approachCombining the institution-based theory, the resource orchestration paradigm and a dynamic perspective on IC, a new framework is constructed to evaluate the direct and indirect relationships existing among GS policies, firms' operational performance and IC. These processes and their outcomes are evaluated using mediating models with three steps and a panel regression based on panel data from 3,211 high-tech companies operating in China from 2008 to 2015.FindingsEmpirical findings confirm the existence of a significant direct relation between GS and IC and also suggest a mediating effect through operational performance.Originality/value(1) GS can be considered an institutional signal that boosts the attractiveness of a firm, thus enabling it to hire talent (human capital), build a wide network of relationships in the ecosystem (structural capital) and enhance its current relationships with financial service institutions and other stakeholders (relational capital). (2) This study, which considers GS an external resource, is one of the first attempts to explore how external resources influence firms' IC development through institutional pressures and mechanisms. The study confirms that multiple strategies exist through which government authorities and policymakers can influence firms' IC and in particular a combination of institutional factors and firm's resources and capabilities.

PurposeThe purpose of this study is to map the intellectual structure of the field of conflict management and the field of family business to the investigation of conflicts in family firms, with the aim of contributing to the further integration of knowledge between the two fields.Design/methodology/approachFamily conflicts and work–family balance issues also received a lot of attention, yet studies in conflict management still seem to overlook a thorough investigation of conflict in family businesses. Conflict is a major aspect of family businesses, which differs highly from non-family businesses, and offers an important research avenue for conflict management scholars to contribute to the investigation of major characteristics of organisations that constitute a large part of the value created in the world.FindingsThe results of a bibliometric analysis and systematic literature review show that studies concerning conflict in family business aggregate around three clusters: organisational conflicts; firm growth and conflicts; and family control, performance and conflicts. An interpretative framework is also developed to interpret how antecedents, conflicts and growth dynamics in family business influence performances. Findings show how family conflicts and work–family balance issues received a lot of attention, yet studies in conflict management still seem to miss a thorough investigation of conflict in family businesses.Originality/valueThis paper contributes to the field of conflict management and family business by providing a systematic analysis of knowledge and family firms. This paper can be a starting point for researchers interested in understanding how conflicts affect family businesses.

PurposeThe purpose of this paper is to investigate, through the lens of the gift-giving theory, volunteers' motivations for intending to stay with organizations.Design/methodology/approachData were collected from 379 volunteers from 30 charitable organizations operating in Italy's socio-healthcare service sector. Bootstrapped mediation analysis was used to test the hypothesized relationships.FindingsVolunteers' reciprocal attitudes and gift-giving intentions partially mediated the relationship between motives and intentions to stay.Practical implicationsPolicy makers of charitable organizations are advised to be more responsive to behavioral signals revealing volunteers' motivations, attitudes, and intentions. Managers should appropriately align organizational responsiveness with volunteers' commitment through gift-giving exchange systems.Originality/valueThe findings reveal that reciprocity and gift giving are significant organizational variables greatly influencing volunteers' intentions to stay with organizations. Signaling theory is used to explain how volunteers' attitudes are linked with organizational responsiveness. Furthermore, this study is the first to use an Italian setting to consider motives, reciprocity, and gift giving as they relate to intentions to stay.

AbstractThe abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that arise from the design of AI and (ii) ethical concerns that arise from human–AI interactions. The analysis of the obtained sample highlights the most recurrent ethical concerns. Finally, it exposes the main proposals of the literature to handle the ethical concerns according to the main ethical approaches. It interprets the findings to lay the foundations for future research on the ethics of AI.

PurposeWorking arrangements' hybridity has become paramount, particularly after the coronavirus disease 2019 pandemic. A remote working environment has indubitable advantages (e.g. the ability to work from anywhere and at any time). However, such flexibility comes at the cost of being virtually always connected. This duality poses challenges for talent management (TM) in determining who can thrive under these specific conditions and how. This study explores how employees respond to this extended connectivity – namely, work connectivity behaviour after-hours (WCBA) – and its influence on proactive talent behaviour by constructing and testing a theoretical model that differentiates employees' reactions to this condition.Design/methodology/approachThis study collected data from 400 mainland Chinese employees using online and offline methods. Owing to the potentially varied effects of working in digital environments on employees, a dual mediation regression model was employed to test the hypotheses.FindingsRemote and hybrid work and, specifically, the increased connectivity experienced by employees can be a "double-edged sword" in influencing their proactive behaviour (PB). While employees experience increased organisation-based self-esteem, which positively correlates with more intense PB, this prolonged exposure may also cause emotional exhaustion (EE), which has a negative correlation with PB. Jointly considering both mediation effects revealed that WCBA's total effect on PB remained negative.Originality/valueThis study enriches the debate regarding the development of TM practices specifically designed for remote work. It recommends paying greater attention to how employees react to increased connectivity experienced in remote and hybrid working environments. Increased self-esteem or passive EE are possible elements for identifying employees' talent potential. The separation between work and after-work is becoming blurred in the digital age, which reduces employees' motivation and ability to exploit their inner talents. Therefore, organisations must find alternatives to preserve their talent pools. This study enriches theoretical research on WCBA, promoting an in-depth application of the theory of job-demand resources in the digital age.

Purpose Digital technologies over time are becoming increasingly pervasive and relatively affordable, finding a large diffusion in Small and Medium Enterprises (SMEs) also for internationalization purposes. However, less is known about the specific mechanisms by which this can be achieved. Specifically, we focus on how SMEs can face the international environment, leveraging digital technologies and thanks to their intellectual capital (IC).Design/methodology/approach We analyze the relationship between digital technologies and the internationalization of SMEs, exploring the mediating role of IC in its three dimensions: human, relational and innovation capital, and assessing the possible moderating effects posed by international institutional conditions, specifically the Sino-US trade frictions. The relationships are tested using a sample of companies listed on China's A-share Growth Enterprise Market (GEM) from 2010 to 2021.Findings Digital technologies help to internationalize SMEs. However, this positive relationship is affected (mediated) by the presence of an already consolidated IC. In addition, the institutional conditions of the international market, such as the Sino-US trade friction, moderate the components of IC differently. Specifically, the overall mediating effect of human and relational capital is boosted, while this does not happen for innovation capital.Originality/value First, this study contributes to the literature on organizational resilience, especially digital resilience, confirming its validity in the context of internationalization and, in particular, those processes adopted by SMEs. Second, we clarify the mechanisms through which digital technologies exert their impact on the process of internationalization and in particular the prominent necessity of having IC. Third, our conclusions enrich the understanding of how IC components react to turbulence in international markets.

Purpose
– The purpose of this paper is to contribute and enrich the scientific debate about the phenomenon called the Internet of Things (IoT) from a managerial perspective. Through the lenses of management and innovation literature, the authors investigate the main facts that characterize the IoT and developed a conceptual framework to interpret its evolution. The framework has then been applied to the case of a three-dimensional (3D) printing technology used for additive manufacturing.


Design/methodology/approach
– A theoretical analysis of the phenomenon of the IoT and its main elements has been performed to construct a conceptual framework in a managerial fashion able to describe the evolutionary impacts of the phenomenon on the manufacturing industry.


Findings
– Through consequential steps, namely radical, modular, architectural and incremental innovation, and by adopting and integrating the Henderson and Clark model, the authors explain the cornerstones of the evolutionary impact of the IoT on the manufacturing industry. Finally, the authors apply the framework to the case of additive manufacturing and 3D printing.


Practical implications
– The framework's practical value is related to its employability in interpreting and possibly forecasting the evolution of manufacturing industries thanks to the advent of the IoT, allowing managers to capture value arising from technological changes.


Originality/value
– This study offers a clear and simple model to interpret the impacts of the IoT. Such a goal has been obtained by systematizing the disconnected research on the topic and arranging such contributions into solid paradigms of the managerial literature.