TITLE:
The Relationship between Big Data and Decision Making. A Systematic Literature Review
AUTHORS:
Carlo Torre, Gianluca Maria Guazzo, Vilma Çekani, Vincenzo Bacco
KEYWORDS:
Big Data, Decision-Making Processes, Corporate Governance Model, Effectiveness, Relationships
JOURNAL NAME:
Journal of Service Science and Management,
Vol.15 No.2,
April
29,
2022
ABSTRACT: The increasing use of big data within the economics
field has led academics and professionals to broaden the investigation of its
consequences in corporate decision-making processes. Until now, scholars and
managers have been focused only on the
technical aspects of big data, without emphasizing the influence they exert on
the effectiveness of decision-making systems. Firstly, this paper aims to
review the literature which concerns the study of the relationship between the
use of big data and its effectiveness in corporate decision-making system. Secondly, it provides
relevant evidence to analyze whether big data acts as a facilitator for
the implementation of advanced decision-making
models and eventually how. In this aspect, our work identifies the key factors that support the corporate decision-making
process by proposing a possible corporate governance model. The theoretical
framework that we have adopted relies on big data management studies,
with a specific focus on the implications which show that the use of big data
can generate the decision-making dynamics of companies and organizations. The
current paper provides both theoretical and managerial contributions to the
literature on big data and decision making, defining future perspectives to
advance knowledge in this research area.