Cited by 112RFID technology advancementsTechnology Adoption and User BehaviourERP Systems Implementation and Impact

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The assimilation of RFID technology by Chinese companies: A technology diffusion perspective

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Wei, Jie, Lowry, Paul Benjamin, Seedorf, Stefan·2015·Information & Management

DOI 10.1016/j.im.2015.05.001

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Common method biases in behavioral research: A critical review of the literature and recommended remedies
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Untitled work
(1985) · American Economic Review · Cited by 6,056
A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation1
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management1
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921

Show all 63 references

Research works printed but not linked: 4

Bolloju, 2007, Organizational assimilation of web service technology: a research framework, J. Org. Comput. Electron. Commer., 17, 29
Felipe, 2003, vol. 48
Lowry, 2014, Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: when to choose it and how to use it, IEEETPC, 57, 123
Roberts, 2003, Evolving at the speed of change: managing change readiness at Motorola's semiconductor products sector, MISQ Exec., 2, 58

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Authors: Wei, J., Lowry, P. B., & Seedorf, S.
Affiliations: Sun Yat-sen University (CN)
City University of Hong Kong (HK)
University of Mannheim (DE)
Corresponding author: Wei, Jie
ORCID: Lowry, Paul Benjamin
Seedorf, Stefan
Venue: Information & Management
Publisher: Elsevier BV
Published: 2015-09
Volume: 52
Issue: 6
Pages: 628-642
ISSN: 0378-7206 (ISSN-L)
DOI: 10.1016/j.im.2015.05.001
OpenAlex: W1490800606
Cited by: 112
References: 63
Citations by year: 2026: 8 · 2025: 8 · 2024: 13 · 2023: 13 · 2022: 8 · 2021: 15 · 2020: 17 · 2019: 12 · 2018: 9 · 2017: 5 · 2016: 4
FWCI: 9.62
Type: journal article
Language: en
Open access: green
core.ac.uk
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Information & Management (publishedVersion)
SSRN Electronic Journal (submittedVersion)
The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › RFID technology advancements
Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
Keywords: RFID technology, technology assimilation, technology diffusion, Chinese enterprises, supply chain management, IT infrastructure, management skills, absorptive capacity, environmental uncertainty, technology adoption

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The assimilation of RFID technology by Chinese companies: A technology diffusion perspective

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