Cited by 261Technology Adoption and User BehaviourDigital Innovation in IndustriesBig Data and Business Intelligence

An Extended Technology-Organization-Environment (TOE) Framework for Online Retailing Utilization in Digital Transformation: Empirical Evidence from Vietnam

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Nguyen, Tran Hung, Le, Xuan Cu, Vu, Thi Hai Ly·2022·Journal of Open Innovation: Technology, Market, and Complexity

Abstract

Digital transformation has profoundly influenced various socio-economic fields and induced retailing firms to utilize digital innovations to maximize business effectiveness in the digital era.The study aims to pinpoint the motivations for online retailing (ORE) adoption and business performance among Vietnamese businesses in the formative digital transformation stage within an extended technology-organization-environment (TOE) framework.The questionnaire-based data are accumulated for this study.Firm respondents are those who have used and increased their familiarity with ORE in Vietnam.All analysis is performed using structural equation modeling (SEM).The results posit that important factors of technological context (i.e., relative advantage, compatibility, and observability), organizational context (i.e., top management support, entrepreneurial orientation, and technological orientation), and the environmental context (i.e., perceived trend, government support, and legal framework) substantially boost ORE adoption.Additionally, firm age is an essential control variable that strongly influences firms' engagement in ORE.Unexpectedly, firm size, competitive pressure, and control variable (i.e., number of employees) do not significantly affect ORE adoption.Besides, ORE adoption serves as an underlying motivation for business performance.Ultimately, theoretical and practical implications are discussed.

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  1. Li, J.C.-F. Blockchain technology adoption: Examining the fundamental drivers. In Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering, Osaka, Japan, 7-9 April 2020.
  2. Tornatzky, L.G.M.; Tchell, F.; Alok, K.C. The Process of Technological Innovation; Lexington Books; The Free Press: Cochranton, PA, USA, 1990.
  3. Rogers, E.M. Diffusion of Innovations; Free Press: New York, NY, USA, 2003.
  4. Dwivedi, Y.K., Wade, M.R., Schneberger, S.L., Eds.; Springer: New York, NY, USA, 2012; pp. 231-245.

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Authors
Nguyen, T. H., Le, X. C., & Vu, T. H. L.
Affiliations
Thuongmai University (VN)
Venue
Journal of Open Innovation: Technology, Market, and Complexity
Publisher
Elsevier BV
Published
2022-12
Volume
8
Issue
4
Pages
200
ISSN
2199-8531 (ISSN-L)
OpenAlex
W4309592365
Cited by
261
References
73
Citations by year
2026: 69 · 2025: 92 · 2024: 71 · 2023: 29
FWCI
40.16
Type
journal article
Language
en
Open access
Locations
  • Journal of Open Innovation Technology Market and Complexity (publishedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Econstor (Econstor) (submittedVersion, cc-by)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
Keywords
online retail, digital transformation, technology-organization-environment framework, technology adoption, firm performance, relative advantage, compatibility, observability, top management support, entrepreneurial orientation, technology orientation, government support, firm age, Vietnamese firms

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