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Toward a Conceptualization of Big Data Value Chain: From Business Problems to Value Creation
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Author(s): Rim Louati (University of Sfax Higher Institute of Business Administration, Tunisia)and Sonia Mekadmi (University of Carthage Institute of Higher Commercial Studies, Tunisia)
Copyright: 2019
Pages: 17
Source title:
Business Transformations in the Era of Digitalization
Source Author(s)/Editor(s): Karim Mezghani (Al Imam Mohammad Ibn Saud Islamic University, Saudi Arabia & University of Sfax, Tunisia)and Wassim Aloulou (Al Imam Mohammad Ibn Saud Islamic University, Saudi Arabia & University of Sfax, Tunisia)
DOI: 10.4018/978-1-5225-7262-6.ch005
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Abstract
The generation of digital devices such as web 2.0, smartphones, social media and sensors has led to a growing rate of data creation. The volume of data available today for organizations is big. Data are produced extensively every day in many forms and from many different sources. Accordingly, firms in several industries are increasingly interested in how to leverage on these “big data” to draw valuable insights from the various kinds of data and to create business value. The aim of this chapter is to provide an integrated view of big data management. A conceptualization of big data value chain is proposed as a research model to help firms understand how to cope with challenges, risks and benefits of big data. The suggested big data value chain recognizes the interdependence between processes, from business problem identification and data capture to generation of valuable insights and decision making. This framework could provide some guidance to business executives and IT practitioners who are going to conduct big data projects in the near future.
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