Business Intelligence Modelling for Studying Science Parks Externalities

Valentina Mallamaci () and Massimiliano Ferrara ()
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Valentina Mallamaci: Department of Law, Economics and Human Sciences and Decisions Lab, Mediterranea University
Massimiliano Ferrara: Department of Law, Economics and Human Sciences and Decisions Lab, Mediterranea University

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2022, pp 333-339 from Springer

Abstract: Abstract The key to business success for many companies is the correct use of data to make better decisions. Companies need to use robust and efficient tools such as Business Intelligence (BI) as positive catalysts to achieve this goal, which can assist them in mechanizing the tasks of analysis, decision making, strategy formulation and forecasting. Therefore, the main objective of the work is to answer the question whether operationalization of Business Intelligence, Organizational Learning (OL) and Innovation can provide financial performance enhancement for companies. It is an applied research as it examines the theoretical structures in a real context of start-ups located in the Shanghai Zizhu Science-based Industrial Park to demonstrate what kind of externality it generates on participating companies. Research findings demonstrate that Business Intelligence and innovation have a critical influence on the companies conduct. But there was no meaningful relationship between Organizational Learning and financial performance of the same companies.

Keywords: Science Park; Business Intelligence; Financial Performance (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-99638-3_54

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DOI: 10.1007/978-3-030-99638-3_54

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