A first step towards service-dominant logic as a new approach to overcome challenges in business intelligence

Abstract

High expectations are set for Business Intelligence (BI), yet it fails to consistently deliver accordingly: there are numerous reports of BI challenges and failures. Existing approaches to address BI challenges are largely found to be ineffective, highlighting the need for a new approach.This paper examines how BI is perceived or understood and establishes that, firstly, BI is inherently grounded in Goods-Dominant (G-D) logic and secondly, that this can be linked to the challenges that are experienced within BI. A recommendation is made for a shift to Service-Dominant (S-D) logic as a new avenue of exploration to assist in overcoming BI's prevailing challenges. Identifying the inherent G-D logic in BI provides the first step necessary in making this shift.Research findings are based on an interpretive case study of a South African Banking institution as well as a literature review.

Investigating Factors that Influence the Adoption of BI Systems by End Users in the Mining Industry in Southern Africa

“…The User Empowerment approach to Information System (IS) Infusion by Kim and Gupta [1] was selected as the theoretical underpinning for the study based on the strong focus on the system user. Although it focuses on IS, BI is perceived as a subset of IS and in many cases BI faces the same challenges as IS [8]. The model, as illustrated in Figure 1, does not focus on technological factors or the external macro environmental characteristics but rather social aspects of IS system adoption.…”

“…It is predicted that by the year 2021, the growth of modern BI will double when compared to its mainstream counterparts, and that it will deliver greater business value [7]. However, organisations fail to achieve a return on their BI system implementation investments [1,8,9]; [10].…”

Towards a "BI Value Coin": Applying Service Research to Address Business Intelligence Challenges

“…Consider BI at a conceptual level as the broad series of exchange activities performed with the ultimate purpose of providing actionable information and/or intelligence for use in decision-making [13]. In terms of this, activities such as the collection and processing of data and information (discovery) and the usage of this data and information in decision-making (use) conceptually reflect the broad basis of BI [3].…”

“…Business Intelligence (BI) is identified as the most essential technology for the organization to purchase [2] however, organizations struggle to realize significant business value from their BI investments: over 50% of BI projects fail [16]. Prevalent categories of BI challenges include, amongst others, failure to use the BI solution when it is successfully implemented and challenges in managing overwhelming volumes of data as a foundation of BI [3] (discussed further in the literature section). Existing solutions to address BI failure and challenges are largely ineffective [4], highlighting the need for a new approach.…”