Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?

Abstract

PurposeThe purpose of this paper is to analyze, from a dynamic capabilities perspective, the role of big data analytics in supporting firms' innovation processes.Design/methodology/approachRelevant literature is reviewed and critically assessed. An interpretive methodology is used to analyze empirical data from interviews of big data analytics experts at firms within digitally related sectors.FindingsThis study shows how firms leverage big data to gain “richer” and “deeper” data at the inter-sections between the digital and physical worlds. The authors provide evidence for the importance of counterintuitive strategies aimed at developing innovative products, services or solutions with characteristics that may initially diverge, even significantly, from established customer/user needs.Practical implicationsThe authors’ findings offer insights to help practitioners manage innovation processes in the physical world while taking investments in big data analytics into account.Originality/valueThe authors provide insights into the evolution of scholarly research on innovation directed toward opportunities to create a competitive advantage by offering new products, services or solutions diverging, even significantly, from established customer demand.

Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model

“…Previous literature has emphasized the critical and important role of BDAC in promoting innovation (Ghasemaghaei and Calic, 2020;Mishra et al, 2019;Wamba et al, 2017) by enhancing and enabling a firm's ability to deliver innovative business models that did not exist previously (Erevelles et al, 2016) as well as to provide new insights into the needs and desires of customers and potential opportunities in new markets, thus reaching innovations that are more compatible with market requirements (Cao et al, 2022;Niebel et al, 2019). According to Capurro et al (2022), BDAC is an important organizational and technological capability to capture data from the outside and turn it into internal knowledge and an organizational routine that helps intensify collective efforts to achieve innovation and create CA (Anderson et al, 2014). This is accomplished by enhancing the capacity of firms to increase productivity and improve business systems and procedures (Akter et al, 2020) while enabling management in making flexible, efficient and innovative decisions (Kabil, 2021;Tseng et al, 2021).…”

“…, 2019). According to Capurro et al. (2022), BDAC is an important organizational and technological capability to capture data from the outside and turn it into internal knowledge and an organizational routine that helps intensify collective efforts to achieve innovation and create CA (Anderson et al.…”

The Effect of Big Data on Firm Value: The Mediation Roles of Innovation and Financial Performances

“…In 2020, Alkatheeri et al By improving the fit between customer preferences and product features, big data has the potential to alter the innovation environment (Rowley, 2020). Big data analytics and the digital world are a new, potent source of innovation, according to Capurro et al (2021). The study also reveals a change in how businesses incorporate information and data from the digital world into corporate strategies and innovation processes (Capurro et al, 2021).…”

“…Big data analytics and the digital world are a new, potent source of innovation, according to Capurro et al (2021). The study also reveals a change in how businesses incorporate information and data from the digital world into corporate strategies and innovation processes (Capurro et al, 2021). Investment in corporate innovation and related areas is essential for business performance.…”

Perspectives on Curricular Priorities for Big Data Analytics: A Qualitative Study of Educators and Practitioners

“…This study explored the perspectives of educators and practitioners regarding curricular priorities for Big Data analytics. Big Data is ubiquitous and fast becoming a metaphor for innovation and discovery (Capurro et al, 2021); however, the promise of a "Big Data revolution" is not without major controversy (Wong & Hinnant, 2022), especially in healthcare (Bamidis et al, 2019;Househ et al, 2017;Rodriguez et al, 2018). Despite variability in its conceptualization, Big Data is generally defined by three characteristics (Cappa et al, 2021): volume (exists in massive amounts), velocity (produced at super high speeds), and variety (available in various formats).…”