Data analytics diffusion in the UK renewable energy sector: an innovation perspective

Harkaran Kava, Konstantina Spanaki*, Thanos Papadopoulos, Stella Despoudi, Oscar Rodríguez-Espíndola, Masoud Fakhimi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


We introduce the BDA dynamics and explore the associated applications in renewable energy sector with a focus on data-driven innovation. Our study draws on the exponential growth of renewable energy initiatives over the last decades and on the paucity of literature to illustrate the use of BDA in the energy industry. We conduct a qualitative field study in the UK with stakeholder interviews and analyse our results using thematic analysis. Our findings indicate that no matter if the importance of the energy sector for 'people's well-being, industrial competitiveness, and societal advancement, old fashioned approaches to analytics for organisational processes are currently applied widely within the energy sector. These are triggered by resistance to change and insufficient organisational knowledge about BDA, hindering innovation opportunities. Furthermore, for energy organisations to integrate BDA approaches, they need to deal with challenges such as training employees on BDA and the associated costs. Overall, our study provides insights from practitioners about adopting BDA innovations in the renewable energy sector to inform decision-makers and provide recommendations for future research.
Original languageEnglish
JournalAnnals of Operations Research
Early online date16 Sept 2021
Publication statusE-pub ahead of print - 16 Sept 2021

Bibliographical note

© Springer Nature B.V. 2021. The final publication is available at Springer via


  • Big data analytics
  • Energy sector
  • Renewable energy
  • Diffusion of innovations
  • Field study


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