Big Data in Capturing Business Value

ABSTRACT

The study investigates an issue of Big Data (BD) and elements shaping BD-based business value creation. The outcome of this research is to build and verify a framework to provide value based on BD. The framework contains three components: dynamic capabilities of organizations, integrated process of BD resource exploration and exploitation, and identification and measurement of business value creation. The framework has been subjected to initial verification by conducting the survey among 25 organizations.

KEYWORDS:

• Big Data (BD)
• Business Intelligence (BI)
• BD-based business value creation
• BD-value creation framework

Acknowledgments

The co-author, Celina M. Olszak, wishes to thank Polish National Agency for Academic Exchange for support of the research project “Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations”, Nr PPN/BEK/2018/1/00126/DEC/1.

Additional information

Notes on contributors

Celina M. Olszak

Celina M. Olszak is a professor of Computer Science and Management Information Systems at the University of Economics in Katowice, Poland. She received MSc in Computer Science from Wroclaw University of Science and Technology and was awarded PhD and a title of professor in Management Information Systems from University of Economics in Katowice. She was a scholarship holder at Swiss Federal Institute of Technology in Zurich, German Academic Exchange Service at Trier University in Germany, and a fellowship at University of Technology, Sydney in Australia. Her research focuses on decision support systems, business intelligence, big data, and artificial intelligence.

Jozef Zurada

Jozef Zurada is a professor in the Department of Computer Information Systems at the University of Louisville, USA; and WSB Gdansk, Poland. He received Ph.D. from University of Louisville; and D.Sc. from the Polish Academy of Sciences, Warsaw, Poland. He was a research fellow at Edith Cowan University, Perth, Australia; and University of Alberta, Edmonton, Canada. His research interests include applications of advanced computational intelligence methods for assisting in decision-making. He published in IEEE Transactions on Systems, Man, and Cybernetics; Information Systems Management; Expert Systems with Applications; Journal of Management Information Systems; and Engineering Applications of Artificial Intelligence.