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An empirical investigation of factors affecting e-collaboration diffusion in SMEs
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“To generate performance improvements from a new technology, the organisational-level adoption decision made by senior managers must be followed by individual employee level user acceptance of the adopted technology (Au et al., 2008; Brandon-Jones and Carey, 2011; Chan et al. 2012; Karjalainen and van Raaij, 2011; Rai and Hornyak, 2013).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Chan et al. 2012
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Metadata
- Authors
- Chan, F. T. S., Yee-Loong Chong, A., & Zhou, L.
- Affiliations
- Hong Kong Polytechnic University (HK)
- University of Greenwich (GB)
- Corresponding author
- Zhou, Li
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 138
- Issue
- 2
- Pages
- 329-344
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2056696363
- Cited by
- 202
- References
- 82
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 9 · 2023: 17 · 2022: 14 · 2021: 20 · 2020: 18 · 2019: 15 · 2018: 18 · 2017: 13 · 2016: 16 · 2015: 21 · 2014: 15 · 2013: 13 · 2012: 1
- FWCI
- 32.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- Greenwich Academic Literature Archive (University of Greenwich) (submittedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- e-collaboration, technology diffusion, small and medium-sized enterprises, collaborative supply chain management, technology adoption, interorganizational relationships, UTAUT, TOE framework, diffusion stages, information sharing
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