Understanding the determinants of business intelligence system adoption stages

Abstract

Purpose The purpose of this paper is to provide a better understanding of the determinants of business intelligence system (BIS) adoption stages. It develops and empirically tests a conceptual model for assessing the determinants of BIS diffusion on the evaluation, adoption, and use stages in the context of small and medium enterprises (SMEs). Design/methodology/approach Drawing on data from 181 SMEs the influence of technological, organizational, and environmental factors on BIS adoption stages were analyzed using the PLS-SEM method. Findings The paper provides empirical insights about how technological, organizational, and environmental factors affect individual BIS adoption stages. Practical implications The paper includes implications for managers and solution providers to understand the influence of various determinants to more effectively conclude the adoption process. Originality/value This study represents important progress in the theoretical understanding of the role of technological, organizational, and environmental factors across the different BIS adoption stages.

The role of business analytics capabilities in bolstering firms’ agility and performance

“…However, there is a consensus among academicians and practitioners that the main goal of BA is to prepare a suitable context in which firms can react properly to a changing environment (Kwon, Lee, & Shin, 2014;Teo, Nishant, & Koh, 2016). This has not only facilitated the way organisations manage their businesses (Bertsimas, Bradlow, Gans, & Gupta, 2014) but also given them an opportunity to access timely and relevant data by integrating structured and unstructured information and aid decision-making (Cao, Duan, & Cadden, 2019;Puklavec, Oliveira, & Popovič, 2018;Rouhani, Ashrafi, Zare Ravasan, & Afshari, 2016;Shollo & Galliers, 2016;Teo et al, 2016).…”

BPM and BI in SMEs: The role of BPM/BI alignment in organizational performance

“…A discussion within this category refers to identification and understanding of BI and BPM implementation and adoption CSFs in SMEs. Following the recommendations of Nguyen, Meredith and Burstein as well as Rockart, the CSFs are categorized into three groups 43,44 : (1) common, (2) 35 Ø Ø P P Ø Reher 36 Ø P Ø Ø P Rolinek et al 37 Ø P P P Ø Singer 38 Ø Ø P P P Braunnagel et al 8 Ø P P P Broccardo et al 39 P Ø Ø P Ø Bandara and Opsahl 4 P Ø Ø Ø P Lö ckmann and Feldmann 40 Ø P Ø Ø P Giacosa et al 41 P Ø Ø Ø P Mamoghli et al 42 P Ø P Ø P Business intelligence Dubravac and Bevanda 25 P Ø Ø P Ø Boonsiritomachai et al 6 P Ø P P Ø Raj et al 26 Ø P Ø Ø P Gauzelin and Bentz 27 Ø P Ø Ø P Adeyelure et al 28 Ø P Ø P Ø Gudfinnsson and Strand 29 P Ø P Ø P Llave et al 30 P Ø Ø Ø P Puklavec et al 31 P Ø Ø P Ø Popovič et al 32 P Ø Ø P Ø Raj et al 33 Ø P Ø Ø P…”

“…30 In addition, the possibility to integrate the BI system with the present or future enterprise resource planning (ERP) is seen as an important factor of BI deployment. 31 Some authors evidenced the missing organizational support of BI and BPM. 8,31 Resource availability is one of the key factors that significantly affect BPM initiatives' success.…”

“…31 Some authors evidenced the missing organizational support of BI and BPM. 8,31 Resource availability is one of the key factors that significantly affect BPM initiatives' success. 6 Many SMEs do not provide sufficient staff and do not clearly establish relevant BI and BPM roles, for example, project champion and process owner.…”

“…Puklavec et al show that the BI costs and perceived relative advantage are not significant factors for BI diffusion, while organizational readiness strongly determines BI adoption. 31 The operationalization of process performance and measurement systems is very scarce in SMEs, which also affects the success of BPM initiatives in organizations. 8 Lückmann and Feldmann provide 'insight into success factors of BPM initiatives in SMEs, summarizing and mapping 117 CSFs along 9 project management areas'.…”