Abstract
Business environments are getting increasingly dynamic and data-intensive because of the emerging technologies and advances in data science, and information and communication technologies, which require enterprises to make regular and quick decisions to cope with the changes. This paper explores how big data influences decision-making processes and, consequently, organizational design in turbulent business environments. This study uses a qualitative approach (multiple case-study) by applying interviews to gain rich and illuminating data from organizations that use large data sets as a source of information based in the UK. In total, 12 participants from 9 organizations were chosen for the interviews who had a deep understanding of organizational and information-processing mechanisms, such as CEOs (chief executive officers), data analysts, data consultants, CIOs (chief information officers) and middle managers. This study contributes to decision-making theory by providing new insights about dynamic decision making in the context of big data and a better understanding of organizational strategies (either developing new dynamic capabilities or reconfiguring the current ones) for working with and leveraging value from big data. In addition, for the practical aspect, it contributes to guiding decision-makers in evaluating their organizations in terms of required capabilities and processes to become better enabled to reap value from big data.
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Karami, H., Tebboune, S., Hart, D., Nawaz, R. (2023). Investigating the Role of Dynamic Capabilities and Organizational Design in Improving Decision-Making Processes in Data-Intensive Environments. In: Visvizi, A., Troisi, O., Grimaldi, M. (eds) Research and Innovation Forum 2022. RIIFORUM 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-19560-0_44
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