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Alberto Mazzoleni
Researcher at University of Brescia
Publications - 33
Citations - 596
Alberto Mazzoleni is an academic researcher from University of Brescia. The author has contributed to research in topics: Small and medium-sized enterprises & Limited company. The author has an hindex of 10, co-authored 33 publications receiving 342 citations.
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Big data analytics capabilities and knowledge management: impact on firm performance
TL;DR: The findings of this paper show that firms that developed more BDA capabilities than others, both technological and managerial, increased their performances and that KM orientation plays a significant role in amplifying the effect of Bda capabilities.
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Does age matter? The impact of SMEs age on the relationship between knowledge sourcing strategy and internationalization
TL;DR: The authors found support for the positive relationship between knowledge sourcing strategy and internationalization, but not for the moderating role of firm age, and suggested that searching widely and deeply is related to internationalization performance and that firm age contributes to enhance this relationship.
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Business Process Management (BPM): How complementary BPM capabilities can build an ambidextrous state in business process activities of family firms
TL;DR: To identify which kinds of dimensions may build an ambidextrous state in BPM in SMFFs, also favored by entrepreneurial IT capabilities and influenced by a stable but changeable context, the research favors transactional excellence with a focus on net cost reduction and transformational excellence based on net revenue generation.
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Happiness as a driver of entrepreneurial initiative and innovation capital
TL;DR: In this article, the authors investigated whether happiness may have a positive influence on entrepreneurial initiative and intellectual property or not, using a large-scale dataset for 2018 drawn from the Eurostat.
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Over the mask of innovation management in the world of Big Data
TL;DR: Results and discussions herein enrich previous managerial debate about the domain of Big Data highlighting ‘tangible’ elements on which act for improving innovation management approaches for companies.