Business analytics adoption process: An innovation diffusion perspective
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Basole and Nowak (2016) and Nam, Lee and Lee (2019) used a three-stage process for supply chain adoption to examine drivers for each stage of business analytics adoption.
“Similarly, Basole and Nowak (2016) and Nam, Lee and Lee (2019) used a three-stage process for supply chain adoption to examine drivers for each stage of business analytics adoption.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Nam, Lee and Lee (2019)
Cites
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AI-augmented HRM: Antecedents, assimilation and multilevel consequences
Prikshat, V., Malik, A., & Budhwar, P. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100860 · Cited by 200 · see citing works
Chaudhuri, R., Chatterjee, S., Vrontis, D., & Thrassou, A. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-04407-3 · Cited by 164 · see citing works
- Authors
- Nam, D., Lee, J., & Lee, H.
- Affiliations
- Korea Advanced Institute of Science and Technology (KR)
- Korea University of Technology and Education (KR)
- Corresponding author
- Lee, Junyeong
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 49
- Pages
- 411-423
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2968182707
- Cited by
- 115
- References
- 15
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 18 · 2023: 27 · 2022: 20 · 2021: 22 · 2020: 13
- FWCI
- 18.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- business analytics adoption, diffusion of innovations, technology adoption stages, technological characteristics, organizational characteristics, environmental characteristics, competition intensity, assimilation, Korean firms
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