Factors Driving Business Intelligence Culture

Abstract

The field of business intelligence (BI), despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards human factors of BI adoption. The wide set of human factors influencing BI adoption contains elements of what we call BI culture -an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts -decision-making culture, analytical culture and others. The goal of this paper is to perform the rview of research and practical sources to examine driving forces of BI -data-driven approaches, BI agility, maturity and acceptance -to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.

The role of leadership skills in the adoption of business intelligence and analytics by SMEs

“…Information culture is a wide area that encompasses data orientation (Kiron andShockley, 2011), analytical decision-making (Popovi c et al, 2012), data-driven culture (McAfee et al, 2012;Mikalef et al, 2020), and information infrastructure (Presthus, 2014). Under the umbrellas of BI&A, information culture promotes an inclusive environment where information processes are understood and supported, and the impetus for leveraging BI&A applications arises from the management and users, rather than the availability of technology (Mikalef et al, 2020;Skyrius et al, 2016;Vidgen et al, 2017).…”

“…Under the umbrellas of BI&A, information culture promotes an inclusive environment where information processes are understood and supported, and the impetus for leveraging BI&A applications arises from the management and users, rather than the availability of technology (Mikalef et al. , 2020; Skyrius et al. , 2016; Vidgen et al.…”

The Support of Human Factors for Encompassing Business Intelligence

“…The set of the most important features of intelligence culture has been described in Skyrius et al (2016); encompassing the emergence of intelligence community that shares information and insights, it is motivated to grow, capture and preserve experience and is supported by an appropriate IT platform. These features are reminiscent of knowledge management (KM) systems proposed in the last couple of decades, but there are important differences -business intelligence, and intelligence in general, deals mostly with advanced information management, and as a field is much more mature with a significantly larger body of experience.…”