Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach

Abstract

Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear how they support the capacity of firms to purposefully create, extend, or modify their resource bases, i.e., dynamic capabilities (DC). This study extends current literature by exploring and elucidating various contingent big data capabilities, resources, and conditions that lead to the formation of these DCs in today's turbulent business environment. We use a qualitative approach using a cross-interview study method. Hence, we collected data through semi-structured interviews with field domain experts. In total, 27 interviews were held with key and senior informants from different firms. Co-authors analyzed the obtained data through the use of qualitative coding techniques. Our results show that there are various contingent BDAC resource solutions that drive, moderate, and condition the development of DCs. These outcomes also show that no single antecedent condition explains DCs in practice. These insights are important for firms that are becoming more data-driven. Outcomes are valuable for practice as firm executives now have insight into the process and main BDA capabilities they can focus on while planning, initiating, and evolving big data analytics projects and their digital business strategies.

Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance

“…BDAC is presently regarded as a game-changer to enable an organization's sustainable performance due to its great operational and strategic potential. The emerging literature establishes a positive correlation between BDAC and organizational performance in various industries [24,25,80,83,84]. Consistent with previous research, we regard BDAC as a critical dynamic capability contributing to sustainable performance in the current study environment.…”

“…The study of [80] stated that while the existing literature has numerous discussions on SCM's predictive analytics and data science, it fails to demonstrate a direct link between SSCM practices and BDAC. Similarly, a few studies have indicated that BDAC has a beneficial effect on SSCM; however, these studies are rare in number and do not use the same set of measures [80]. As a result, generalizations about the relationship between BDAC and SSCM practices must be established.…”

Big data analytics capability as a mediator in the impact of open innovation on firm performance

“…Big data analytics capabilities refer to incorporating big data into the organizational decision-making process (Rialti et al, 2019). This approach includes not only big data technical infrastructure, but human skills and the knowledge required to embrace, adopt and deploy data-driven insights extraction (Van De Wetering et al, 2019). BDAC can be divided into different factors: (1) tangible, such as technology and financial resources; and (2) intangible, which relates to human skills and knowledge (Gupta and George, 2016).…”

Decoupling Institutional Pressure on Green Supply Chain Management Efforts to Boost Organizational Performance: Moderating Impact of Big Data Analytics Capabilities

“…Due to the rapid expansion of information technology, big data analytics (BDA) can help organizations to apply the "largescale group decision-making" (LSGDM) strategy, which lowers relational and task conflicts among different SC stakeholders (Liu et al, 2020;Wu et al, 2017) and becoming the backbone of the current progressive growth. BDA capabilities (BDAC) have acquired strategic significance and have become one of the most precious assets of multiple organizations (Van De Wetering et al, 2019;Shamim et al, 2020). In a similar vein, organizations in many countries have been undergoing a surge in digitizing and acceptance of BDA technologies over the past few years (Wang et al, 2018;Gong and Janssen, 2020;Mikalef et al, 2020;Cetindamar et al, 2021;Shahbaz et al, 2021).…”