This chapter aims to analyze firms’ strategic use of big data analytics (AAs) in order to understand their applications in business practice and relevant effects on their performance. Actually, after looking closely at the four main types of AAs (i.e., descriptive analytics, predictive analytics, prescriptive analytics, and automated analytics), we feature the key factors driving the performance effects of AAs (some sectors benefit more than others of the positive effects of using AAs, information intensity of each sector is capable of influencing the effect of AAs on firm performance, and large firms are usually the ones having more direct access to AA advantages vis-à-vis SMEs), and discuss the strategic advantages and disadvantages arising from the adoption of AAs. Then, we highlight the main characteristics of the application of AAs in four relevant economic sectors (i.e., Finance and Insurance, Manufacturing, Healthcare, and Logistics and Supply Chain). Finally, we draw some conclusions and gather a few lines for future research in the expanding AA-performance domain.
Institutional Login
Log in with Open Athens, Shibboleth, or your institutional credentials
Personal login
Log in with your Elgar Online account
-
Front Matter
-
Part I: DIGITAL STRATEGY AS DIGITAL BUSINESS MODEL CHOICE
-
Part II: DIGITAL STRATEGY AS OPEN SYSTEMS DESIGN
-
Part III: DIGITAL STRATEGY AS DATA USE
-
Part IV: DIGITAL STRATEGY AND THE NEW MANAGERIAL IMPERATIVES
-
Back Matter
