The DOI matches its Crossref record; 42 of the 44 references it cites were found in a registry or an index.
Understanding the implications of ICT adoption: insights from SMEs
Abstract
The phenomenon of the Internet has forced businesses and organisations to examine their existing business practices and adopt new methods of working, both for existing and potential customers. This paper presents an analysis of a pilot study of 24 SMEs, which seeks to elicit the various determinants of employing ICTs and the level of sophistication of use. The paper analyses the approach used to facilitate the introduction and implementation of new technologies, with a view to achieving integration with business processes. The discussion, based on the initial findings, examines the circumstances for ICT success and strategic effects resulting from implementation and use of such technologies. A conceptual model provides a framework for determining the level of sophistication of SMEs in their exploitation of ICTs. The findings highlight that characteristics of the firm and industry sector are contributory factors to the extent of adoption and exploitation of ICTs by SMEs, to support business processes.
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“Research Proposition 7 (a-d): HR staff's ICT skills will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Shiels et al., 2003
In the citing paper
“Research Proposition 7 (a-d): HR staff's ICT skills will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Shiels et al., 2003
In the citing paper
“Research Proposition 7 (a-d): HR staff's ICT skills will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Shiels et al., 2003
In the citing paper
“Research Proposition 7 (a-d): HR staff's ICT skills will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Shiels et al., 2003
Citations
Cites
(1984) · Cited by 81,983
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Organizational innovation: A meta-analysis of effects of determinants and moderators
Damanpour, F. (1991) · Academy of Management Journal · doi:10.2307/256406 · Cited by 6,542
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology
Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995) · MIS Quarterly · doi:10.2307/249629 · Cited by 2,503
Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry
Bourgeois, L. J., & Eisenhardt, K. M. (1988) · Management Science · doi:10.1287/mnsc.34.7.816 · Cited by 1,523
Commercial Scenarios for the Web: Opportunities and Challenges
Hoffman, D. L., Novak, T. P., & Chatterjee, P. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.1995.tb00165.x · Cited by 814
A New Marketing Paradigm for Electronic Commerce
Hoffman, D. L. (1997) · The Information Society · doi:10.1080/019722497129278 · Cited by 590
An Examination of “Push-Pull” Theory Applied to Process Innovation in Knowledge Work
Zmud, R. W. (1984) · Management Science · doi:10.1287/mnsc.30.6.727 · Cited by 523
(1991) · doi:10.1093/oso/9780195063585.001.0001 · Cited by 438
Research works printed but not linked: 12
- Alhadeff, J. and Cohen, R. (1997), “Assembling the right Internet business model”, DB2 Magazine, Winter, pp. 11‐16.
- Durkin, M. and McGowan, P. (2001), “Net effect ‐‐ views from the periphery: exploring the role and importance of the Internet on marketing activity in entrepreneurial firms”, Irish Marketing Review, Vol. 14, pp. 15‐25.
- Eveland, J.D. and Tornatzky, L.G. (1990), “The deployment of technology”, in Tornatsky, L.G. and Fleischer, M. (Eds), The Processes of Technological Innovation, Lexington Books, Lexington, MA, pp. 117‐48.
- Fallon, M. and Moran, P. (2000), “Information communication technology (ICT) and manufacturing SMEs”, 2000 Small Business and Enterprise Development Conference, 10‐11 April, Manchester University, Manchester, pp. 100‐9.
- Levy, M., Powell, P. and Yetton, P. (1998), “SMEs and the gains from IS: from cost reduction to value added”, paper presented at the IFIP 8.2 Conference, Finland.
- Nolan, R.L. (1979), “Managing the crisis in data processing”, Harvard Business Review, March/April, pp. 115‐26.
- Rodgers, E.M. (1995), Diffusion of Innovations, Free Press, New York, NY.
- Seeley, R. (1997), “Internet commerce emerges”, Application Development Trends, June, pp. 38‐48.
- Tidd, J., Bessant, J. and Pavitt, K.I. (1997), Integrating Technological, Market and Organisational Change, J. Wiley & Sons, Chicester.
- Umar, A. (1997), “E‐commerce bedrock”, Database Programming & Design, November, pp. 32‐9.
- Venkatraman, N. (1994), “IT‐enabled business transformation: from automation to business scope redefinition”, Sloan Management Review, Winter, pp. 73‐87.
- Whitley, R. (1986), “The revival of the small business in Europe”, in Greenfield, S.M. and Stricken, A. (Eds), Entrepreneurship and Social Change, Monographs in Economic Anthropology, No. 8, Economic Anthropology Press of America, Lanham, MD.
Cited by
Sorted by citations
Cloud computing adoption by SMEs in the north east of England
Alshamaila, Y., Papagiannidis, S., & Li, F. (2013) · Journal of Enterprise Information Management · doi:10.1108/17410391311325225 · Cited by 857
Chege, S. M., & Wang, D. (2019) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2019.1651263 · Cited by 214
Organisational, Technical and Data Quality Factors in CRM Adoption—SMEs Perspective
Alshawi, S., Missi, F., & Irani, Z. (2011) · Industrial Marketing Management · doi:10.1016/j.indmarman.2010.08.006 · Cited by 204
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
Ismail, N. A., & King, M. (2007) · The Deakin Law Review (Deakin University) · Cited by 192
Metadata
- Authors
- Shiels, H., McIvor, R., & O'Reilly, D.
- Affiliations
- University of Ulster (GB)
- ORCID
- McIvor, Ronan
- Venue
- Logistics Information Management
- Publisher
- Emerald
- Published
- 2003-10-01
- Volume
- 16
- Issue
- 5
- Pages
- 312-326
- ISSN
- 0957-6053 (ISSN-L)
- OpenAlex
- W1996788206
- Cited by
- 155
- References
- 44
- Citations by year
- 2026: 1 · 2024: 5 · 2023: 5 · 2022: 3 · 2021: 7 · 2020: 6 · 2019: 7 · 2018: 10 · 2017: 2 · 2016: 12 · 2015: 16 · 2014: 5 · 2013: 14 · 2012: 6
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Logistics Information Management (publishedVersion)
- Topics
- 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
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- ICT adoption, small and medium-sized enterprises, business process integration, technology implementation, technology adoption factors, conceptual model, firm characteristics, industry sectors
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