The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Understanding the determinants of business intelligence system adoption stages: An empirical study of SMEs
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.
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Cites
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“The quality of the formative construct in the measurement model is then determined through content validity (Straub et al., 2004), multicollinearity (Diamantopoulos and Siguaw, 2006), and weights (Chin, 1998), all described in the following sections.”
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Cited by
Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations
Pillai, R., & Sivathanu, B. (2020) · Benchmarking: An International Journal · doi:10.1108/bij-04-2020-0186 · Cited by 422
Adoption of AI-empowered industrial robots in auto component manufacturing companies
Pillai, R., Sivathanu, B., Mariani, M., Rana, N. P., Yang, B., & Dwivedi, Y. K. (2022) · Production Planning & Control · doi:10.1080/09537287.2021.1882689 · Cited by 195
Patnaik, P., & Bakkar, M. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102750 · Cited by 100
Metadata
- Authors
- Puklavec, B., Oliveira, T., & Popovič, A.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2018-02-05
- Volume
- 118
- Issue
- 1
- Pages
- 236-261
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2780441722
- Cited by
- 191
- References
- 16
- FWCI
- 16.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Puklavec, B., Oliveira, T., & Popovič, A. (2018). Understanding the determinants of business intelligence system adoption stages: An empirical study of SMEs. Industrial Management & Data Systems. https://doi.org/10.1108/imds-05-2017-0170
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
