Management Perspectives towards the Data-Driven Organization in the Energy Sector

Irina Bogdana Pugna, Dana Maria Boldeanu, Mirela Gheorghe, Gabriel Cozgarea and Adrian Nicolae Cozgarea
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Irina Bogdana Pugna: Department of Management of Information Systems, Bucharest University of Economic Studies, 6 Piața Romană, Sector 1, 010374 Bucharest, Romania
Dana Maria Boldeanu: Department of Management of Information Systems, Bucharest University of Economic Studies, 6 Piața Romană, Sector 1, 010374 Bucharest, Romania
Mirela Gheorghe: Department of Management of Information Systems, Bucharest University of Economic Studies, 6 Piața Romană, Sector 1, 010374 Bucharest, Romania
Gabriel Cozgarea: Department of Management of Information Systems, Bucharest University of Economic Studies, 6 Piața Romană, Sector 1, 010374 Bucharest, Romania
Adrian Nicolae Cozgarea: Department of Management of Information Systems, Bucharest University of Economic Studies, 6 Piața Romană, Sector 1, 010374 Bucharest, Romania

Energies, 2022, vol. 15, issue 16, 1-20

Abstract: This paper explores the current attitudes of managers and executives working in the energy sector towards the Data-Driven Organizational Model implied by Big Data. The aim is to explore and understand the current mindset of senior decision makers, since their success depends as much on cognitive and behavioral processes as on their technical competences. We adopt a grounded-theory approach, developing models of understanding and belief abductively, driven by the data obtained from participants through a reflection guide. We find that managers differ significantly in their understanding and engagement with their challenges; they display interest but differ in their commitment and enthusiasm; they identify a lack of strategy and skills as current barriers; and they are currently unwilling to trust data, treating evidence according to their own prior commitments. This is a significant barrier to establishing the Data-Driven Organizational Model. These findings raise concerns, and the paper concludes that by considering initiatives for implementing more agile and forward-looking approaches, establishing a data-driven organizational culture, and managing such changes effectively.

Keywords: data-driven organizational model; big data; big data analytics; digitalization; energy; EU Green Deal (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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