The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Adoption of e‐commerce applications in SMEs
Abstract
Abstract Purpose – The purpose of this paper is to examine the factors within the technology‐organization‐environment (TOE) framework that affect the decision to adopt electronic commerce (EC) and extent of EC adoption, as well as adoption and non‐adoption of different EC applications within small‐ and medium‐sized enterprises (SMEs). Design/methodology/approach – A questionnaire‐based survey was conducted to collect data from 235 managers or owners of manufacturing SMEs in Iran. The data were analyzed by employing factorial analysis and relevant hypotheses were derived and tested by multiple and logistic regression analysis. Findings – EC adoption within SMEs is affected by perceived relative advantage, perceived compatibility, CEO's innovativeness, information intensity, buyer/supplier pressure, support from technology vendors, and competition. Similarly, description on determinants of adoption and non‐adoption of different EC applications has been provided. Research limitations/implications – Cross‐sectional data of this research tend to have certain limitations when it comes to explaining the direction of causality of the relationships among the variables, which will change overtime. Practical implications – The findings offer valuable insights to managers, IS experts, and policy makers responsible for assisting SMEs with entering into the e‐marketplace. Vendors should collaborate with SMEs to enhance the compatibility of EC applications with these businesses. To enhance the receptiveness of EC applications, CEOs, innovativeness and perception toward EC advantages should also be aggrandized. Originality/value – This study is perhaps one of the first to use a wide range of variables in the light of TOE framework to comprehensively assess EC adoption behavior, both in terms of initial and post‐adoption within SMEs in developing countries, as well adoption and non‐adoption of simple and advanced EC applications such as electronic supply chain management systems.
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Cites
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Understanding e-business adoption across industries in European countries
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Oliveira, T., Thomas, M., & Espadanal, M. (2014) · Information & Management · doi:10.1016/j.im.2014.03.006 · Cited by 1,255
Understanding e-business adoption across industries in European countries
Oliveira, T., & Martins, M. F. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011087428 · Cited by 641
Critical success factors of green innovation: Technology, organization and environment readiness
Zhang, Y., Sun, J., Yang, Z., & Wang, Y. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121701 · Cited by 508
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
Big data analytics adoption: Determinants and performances among small to medium-sized enterprises
Maroufkhani, P., Tseng, M.-L., Iranmanesh, M., Ismail, W. K. W., & Khalid, H. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102190 · Cited by 423
Metadata
- Authors
- Ghobakhloo, M., Arias‐Aranda, D., & Benitez‐Amado, J.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2011-08-30
- Volume
- 111
- Issue
- 8
- Pages
- 1238-1269
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2083681462
- Cited by
- 590
- References
- 13
- FWCI
- 39.77
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.