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Purpose Institutional venture capitalists (IVCs) and corporate venture capitalists (CVCs) deploy analogous activities but adopt different approaches to financing innovation and value creation for venture-backed firms. Thus, this paper aims to investigate their potential ambidexterity as a result of knowledge management (KM) strategies and processes. Design/methodology/approach After a focused literature review showing evidence of KM behaviors as a source of potential ambidexterity for IVCs and CVCs, descriptive, inferential and discriminant analyses on the 15 most active IVCs and CVCs in the world in 2019 are presented. Correlations between numbers of deals, prevailing entrepreneurial intensity and potential ambidexterity are investigated. Findings Specific differences are analyzed from a KM perspective, revealing that the number/percentage of operations per round can result as a misleading criterion of knowledge accumulation. Finally, a theoretical model for ambidexterity for venture capitalists is developed. Originality/value The study shows that IVCs act with greater investment capacity because of their organizational structure and purpose and focus on financial goals; moreover, they are ambidextrous, although their exploration may more frequently entail exploitation than “real” exploration. CVCs tend to invest in sectors related to their core business, coherent with their strategic purpose and more oriented with KM strategies for accumulating intellectual capital.

Immersive technologies can have a huge impact on the social structure of a country, opening new opportunities and new scenarios. Through the exploitation and synergy of peculiar disruptive technologies, we are witnessing a capillary development of smart cities and collaborative platforms to facilitate the citizens' lives. The Association of South-East Asian Nations (ASEAN) has the highest growth rate for the intelligent exploitation of technologies. This chapter aims to outline the real impact of technology in the social and business environment by redesigning the continuous disruptive technologies and the different changes of perspective in the relationship between the individual and social sphere. The originality of the chapter lies in analyzing the potential of the smart city to implement a sustainable and collaborative urban development plan capable of spreading technological entrepreneurship and digital innovation.

The objective of this article was to verify whether, in the decision-making process concerning bank loans issuance, managers have been influenced or not by how they perceive some personal characteristics of the applicant, even if these characteristics have nothing to do with the financial aspects typically analyzed to determine creditworthiness. In particular, we analyzed the impact of gender, age, beauty, race and education of the borrower on the probability to be funded. The study was conducted submitting face-to-face questionnaires to 212 officers working in the credit chain of 25 banks and data have been analyzed using the logistic regression model. The chosen setting was the south of Italy and in particular of the Campania region. The results show that there has been some influence of bias regarding gender, age and beauty, while no significant relationship has been found with reference to the racial discrimination or to the cultural level of the applicant. These results, which confirm the evidence already found in other settings by previous empirical analyses, would lead to highlight that there is an adverse selection mechanism in the provision of banks' credit capital.

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