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Leadership Stream
. The Open University, UK 23 - 23 Nov 2017Tools that support strategic decision-making under uncertainty are becoming increasingly important. The supply chain intelligence system, which is based on artificial intelligence, is a programme that facilitates company management, including purchasing. It makes it possible, among other things, to identify any problems and estimate their possible consequences even before they occur, and on the basis of previous experience it facilitates decision-making, in time even allowing for their certain automation. Cheng JH, Lu KL (2017) Enhancing effects of supply chain resilience: insights from trajectory and resource-based perspectives. Supply Chain Manag: Int J. 22(4):329–340 Kang J, Diao Z, Zanini MT (2020) Business-to-business marketing responses to COVID-19 crisis: a business process perspective. Mark Intell Plan 39(3):454–468. https://doi.org/10.1108/MIP-05-2020-0217 Companies that invest in new technologies benefit in the event of disruption. They are able to make an efficient analysis of how a particular phenomenon may affect their supply chain in the near term. When companies have knowledge of where the disruption will come from and which products will be affected, they have time to immediately implement avoidance and mitigation strategies by, for example, buying or controlling inventory allocation. Recent studies have investigated the SCRES from various aspects (Aslam et al. 2020). Organizational ambidexterity (OA) is a new concept that gives original insights into SCRES. It refers to contradictory dualities such as efficiency (exploitation) and flexibility (exploration) (Severgnini et al. 2019). Some researchers indicate that OA becomes a paradigm for an organization facing complexity and uncertainty of the environment (Claudia and Mihaela 2019), required to sustain organizational success in a turbulent environment (O’Reilly and Tushman 2008), or even to ensure long-term survival in uncertain, volatile and rapidly evolving industries (Hansen et al. 2019). However, the understanding of the OA significance in creating SCRES remains limited. The research on this issue is relatively scarce (Aslam et al. 2020). Additionally, prior studies on SCRES are mainly theoretical (Ali et al. 2017) without overall assessment of practices under exploitation and exploration dimensions. Furthermore, only few studies recognize this issue in times of such strong turbulence as the COVID-19 pandemic caused (Ali et al. 2021; Ozdemir et al. 2022).

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