A conceptual framework for business intelligence critical success factors

Jahantigh, Farzad Firouzi; Habibi, Arash; Sarafrazi, Azam

doi:10.1504/ijbis.2019.10018112

Cited by 2 publications

(2 citation statements)

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“…This happens because many researchers believe that both terminologies are the same in meaning, but in practice, they are two different stages. The assessment and identification of significant determinants is crucial before integration and adoption of BIS in companies [6,24]. Researchers have stressed that adoption of BIS is greatly influenced by consideration of the appropriate determinants [6,23].…”

Section: Introductionmentioning

confidence: 99%

“…Exploring the topic of BIS through the lens of individual, technological, organizational, and environmental aspects provides a precise comprehension of BIS adoption that will contribute to the success of BIS projects with theoretical and practical implications. As a result, decision-making authorities encourage the integration and adoption of BIS for timely, accurate, and smart decisions, which leads to improved industrial productivity and results in high revenues by decreasing manpower and cost, correcting human errors, and delivering better supply chains, customer and logistic services [24]. The efficient resource use directly impacts not only the social and financial sustainability but also environmental sustainability.…”

Section: Introductionmentioning

confidence: 99%

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Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry

et al. 2020

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The textile and apparel industry is prone to digitization with business intelligence systems (BIS) and big data concepts to contribute the global sustainability. BIS, an impactful and leading technology, is being implemented in many industrial sectors but almost 80% of BIS fail to give expected results due to unknown reasons. Although many scholars put effort into finding the influential determinants for the BIS implementation, they neglect the BIS adoption context, especially in the textile and apparel industry. A purposive and proportionate choice of potential determinants in the context of adoption would contribute significantly to the success of BIS. Multi-stage research is employed to identify and prioritize the significant determinants. In the first stage, twenty-two semi-structured in-depth interviews are conducted with seventeen textile and apparel companies. Ten significant determinants emerged after thematic analysis of interview data. The determinants are sustainability, competitive pressure, market trends, compatibility, technology maturity, leadership commitment and support, satisfaction with existing systems, sustainable data quality and integrity, users’ traits, and interpersonal communications that influence the adoption of BIS. In the second stage, the Best Worst Method (BWM) is used to calculate the weights for prioritizing the determinants based on experts’ opinion. These weights are then used to evaluate and rank the determinants. The findings of this research show that the leadership commitment and support, sustainability, users’ traits, and technology maturity, are the top-ranked determinants that influence the practitioners’ choice to adopt the BIS in the textile and apparel industry. The results of this study enable the BIS stakeholders to holistically comprehend the significant determinants that would drive or impede the success of BIS projects in the sustainable textile and apparel industry.

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