Actualizing Value Potentials of Big Data Analytics in Organizations

When culture meets digital platforms: value creation and stakeholders’ alignment in big data use

“…In the practitioners' literature, the value creation opportunities provided by big data derive from the so-called 3 Vs, that is, volume, velocity, and variety. Günther et al (2017) re-elaborated this concept and identified two general drivers of value creation through big data: interconnectivity and portability.…”

“…Lycett, 2013). To illustrate such a concept, Günther et al (2017) referred to the example of a transportation company that had been collecting geographical data from vehicles navigating through cities and which could sell these data to organizations that dealt with road maintenance to find locations that required repairs. Portability thus means that the value of data can be realized in a different business/industry context from the one where the data originated.…”

“…Those logics and interests can lead an organization to deal with multiple types of possible concerns about the risks in intellectual property protection, privacy regulation, and security protection that can arise from a strategy based on sharing its own data with other parties. Thus, value creation through big data may require stakeholders to develop new business logics, professional norms, value propositions, behaviours and visions related to the way their own data are shared, to the extent they are made accessible without restrictions (Günther et al, 2017), and in the way they are used to produce some benefits for certain users or customers (Raguseo & Vitari, 2018). However, evidence about this process of convergence is lacking.…”

“…Google, Amazon, Facebook). In this vein, Günther, Rezazade Mehrizi, Huysman, & Feldberg (2017) theorized that value creation through these 'big' data occurs when organizations realign work practices, organizational models and stakeholders' interests in order to reap the benefits from their use. Such a realignment can consist of a radical departure from the existing ways of doing business, and from the logics, values and beliefs that drive work practices and behaviours in an organization (Rezazade Mehrizi & Lashkarbolouki, 2016).…”

The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit

“…It is argued that further analysis is required to bear out that investment in BDA could be a source of competitive performance for an enterprise, while there is some evidence showing BDA can create value (Sharma et al, 2014). Moreover, some researchers believe that more empirical studies are needed to explicate the mechanism of the diffusion effect of BDA on the improvement of an enterprise's operational performance (Marr, 2016;Günther et al, 2017). Bean surveyed Fortune 1,000 companies in 2017 and also showed that despite the enthusiasm for investing in big data, results varied widely in terms of success (Mikalef et al, 2020).…”