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Profiling research published in the Journal of Enterprise Information Management (JEIM)
Open accessAbstract
Purpose: The purpose of this paper is to analyse research published in the Journal of Enterprise Information Management (JEIM) in the last ten years (1999‐2008). Design/methodology/approach: Employing a profiling approach, the analysis of the 381 JEIM publications includes examining variables such as the most active authors, geographic diversity, authors' backgrounds, co‐author analysis, research methods and keyword analysis. Findings: All the findings are in relation to the period of analysis (1999‐2008). Research categorised under descriptive, theoretical and conceptual methods is the most dominant research approach followed by JEIM authors. This is followed by case study research. The largest proportion of contributions comes from researchers and practitioners with an information systems (IS) background, followed by those with a background in business and computer science and IT. The keyword analysis suggests that “IS”, “electronic commerce”, “internet”, “logistics”, “supply chain management”, “decision making”, “small to medium‐sized enterprises”, “information management”, “outsourcing” and “modelling” are the most frequently investigated keywords. The paper presents and discusses the findings obtained from the citation analysis that determines the impact of the research published in JEIM. Originality/value: The primary value of this paper lies in extending the understanding of the evolution and patterns of IS research. This has been achieved by analysing and synthesising existing JEIM publications.
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Citations
Cites
Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies
Buonanno, G., Faverio, P., Pigni, F., Ravarini, A., Sciuto, D., & Tagliavini, M. (2005) · Journal of Enterprise Information Management · doi:10.1108/17410390510609572 · Cited by 449
Understanding the implications of ICT adoption: Insights from SMEs
Shiels, H., McIvor, R., & O'Reilly, D. (2003) · Logistics Information Management · doi:10.1108/09576050310499318 · Cited by 155
Flagged first, then by citations
Research works printed but not linked: 38
- Allen, E. and Fjermestad, J. (2001), “E‐commerce marketing strategies: an integrated framework and case analysis”, Logistics Information Management, Vol. 14 Nos 1/2, pp. 14‐23. · DOI
- Al‐Mashari, M. and Zairi, M. (2000), “The effective application of SAP R/3: a proposed model of best practice”, Logistics Information Management, Vol. 13 No. 3, pp. 156‐66. · DOI
- Alshawi, S. (2001), “Logistics in the internet age: towards a holistic information and processes picture”, Logistics Information Management, Vol. 14 No. 4, pp. 235‐42. · DOI
- Angeles, R. (2000), “Revisiting the role of internet‐EDI in the current electronic commerce scene”, Logistics Information Management, Vol. 13 No. 1, pp. 45‐57. · DOI
- Avison, D., Dwivedi, Y.K., Fitzgerald, G. and Powell, P. (2008), “The beginnings of a new era: time to reflect on 17 years of the ISJ”, Information Systems Journal, Vol. 18 No. 1, pp. 5‐21. · DOI
- Ballantine, J.A. and Stray, S. (1999), “Information systems and other capital investments: evaluation practices compared”, Logistics Information Management, Vol. 12 No. 1, pp. 78‐93. · DOI
- Baskerville, R. and Siponen, M. (2002), “An information security meta‐policy for emergent organizations”, Logistics Information Management, Vol. 15 No. 5, pp. 337‐46. · DOI
- Beamon, B. (1999), “Designing the green supply chain”, Logistics Information Management, Vol. 12 No. 4, pp. 332‐42. · DOI · Paper page
- Bhatt, G.D. and Emdad, A.F. (2001), “An analysis of the virtual value chain in electronic commerce”, Logistics Information Management, Vol. 14 Nos 1/2, pp. 78‐85. · DOI
- Burn, J. and Robins, G. (2003), “Moving towards e‐government: a case study of organisational change processes”, Logistics Information Management, Vol. 16 No. 1, pp. 25‐35. · DOI
- Cebi, F. and Bayraktar, D. (2003), “An integrated approach for supplier selection”, Logistics Information Management, Vol. 16 No. 6, pp. 395‐400. · DOI
- Chapman, P., James‐Moore, M., Szczygiel, M. and Thompson, D. (2000), “Building internet capabilities in SMEs”, Logistics Information Management, Vol. 13 No. 6, pp. 353‐61. · DOI
- Chen, W.S. and Hirschheim, R. (2004), “A paradigmatic and methodological examination of information systems research from 1991 to 2001”, Information Systems Journal, Vol. 14 No. 3, pp. 197‐235. · DOI
- Childerhouse, P. and Towill, D. (2000), “Engineering supply chains to match customer requirements”, Logistics Information Management, Vol. 13 No. 6, pp. 337‐46. · DOI
- Claver, E., Gonzalez, R. and Llopis, J. (2000), “An analysis of research in information systems (1981‐1997)”, Information & Management, Vol. 37, pp. 181‐95. · DOI
- Cronk, M.C. and Fitzgerald, E.P. (1999), “Understanding ‘Is business value‘: derivation of dimensions”, Logistics Information Management, Vol. 12 No. 1, pp. 40‐9. · DOI
- Davenport, T.H. and Brooks, J.D. (2004), “Enterprise systems and the supply chain”, Journal of Enterprise Information Management, Vol. 17 No. 1, pp. 8‐19. · DOI
- Dwivedi, Y.K. (2009), “An analysis of e‐government research published in transforming government: people, process and policy (TGPPP)”, Transforming Government: People, Process and Policy, Vol. 3 No. 1, pp. 7‐15. · DOI
- Dwivedi, Y.K. and Kuljis, J. (2008), “Profile of IS research published in the European Journal of Information Systems”, European Journal of Information Systems, Vol. 17 No. 6, pp. 678‐93. · DOI
- Dwivedi, Y.K., Kiang, M., Lal, B. and Williams, M.D. (2008), “Profiling research published in the Journal of Electronic Commerce Research”, Journal of Electronic Commerce Research, Vol. 9 No. 2, pp. 77‐91.
- Dwivedi, Y.K., Lal, B., Mustafee, N. and Williams, M.D. (2009), “Profiling a decade of Information Systems Frontiers' research”, Information Systems Frontiers, Vol. 11 No. 1, pp. 87‐102. · DOI
- Irani, Z., Hlupic, V., Baldwin, L.P. and Love, P.E.D. (2000), “Re‐engineering manufacturing processes through simulation modelling”, Logistics Information Management, Vol. 13 No. 1, pp. 7‐13. · DOI
- Jharkharia, S. and Shankar, R. (2005), “IT‐enablement of supply chains: understanding the barriers”, Journal of Enterprise Information Management, Vol. 17 No. 1, pp. 11‐27. · DOI
- Kahraman, C., Cebeci, U. and Ulukan, Z. (2003), “Multi‐criteria supplier selection using fuzzy AHP”, Logistics Information Management, Vol. 16 No. 6, pp. 382‐94. · DOI
- Mason, C., Castleman, T. and Parker, C. (2008), “Communities of enterprise: developing regional SMEs in the knowledge economy”, Journal of Enterprise Information Management, Vol. 21 No. 6, pp. 571‐84. · DOI
- Mondragon, A.E.C., Lyons, A.C., Michaelides, Z. and Kehoe, D.F. (2006), “Automotive supply chain models and technologies: a review of some latest developments”, Journal of Enterprise Information Management, Vol. 19 No. 5, pp. 551‐62. · DOI
- Palvia, P., Pinjani, P. and Sibley, E.H. (2007), “A profile of information systems research published in the Information & Management”, Information & Management, Vol. 44, pp. 1‐11. · DOI
- Parker, C.M. and Castleman, T. (2009), “Small firm e‐business adoption: a critical analysis of theory”, Journal of Enterprise Information Management, Vol. 22 Nos 1/2, pp. 167‐82. · DOI
- Remenyi, D. and Sherwood‐Smith, M. (1999), “Maximise information systems value by continuous participative evaluation”, Logistics Information Management, Vol. 12 No. 1, pp. 14‐31. · DOI
- Serafeimidis, V. and Smithson, S. (1999), “Rethinking the approaches to information systems investment evaluation”, Logistics Information Management, Vol. 12 No. 1, pp. 94‐107. · DOI
- Stockdale, R. and Standing, C. (2004), “Benefits and barriers of electronic marketplace participation: an SME perspective”, Journal of Enterprise Information Management, Vol. 17 No. 4, pp. 301‐11. · DOI
- Sutton, S. (2006), “Extended‐enterprise systems' impact on enterprise risk management”, Journal of Enterprise Information Management, Vol. 19 No. 1, pp. 97‐114. · DOI
- Tetteh, E. and Burn, J. (2001), “Global strategies for SME‐business: applying the SMALL framework”, Logistics Information Management, Vol. 14 Nos 1/2, pp. 171‐80. · DOI
- van Hooft, F.P.C. and Stegwee, R.A. (2001), “E‐business strategy: how to benefit from a hype”, Logistics Information Management, Vol. 14 Nos 1/2, pp. 44‐54. · DOI
- Warkentin, M., Bapna, R. and Sugumaran, V. (2001), “E‐knowledge networks for inter‐organizational collaborative e‐business”, Logistics Information Management, Vol. 14 Nos 1/2, pp. 149‐63. · DOI
- Barki, H., Rivard, S. and Talbot, J. (1993), “A keyword classification scheme for IS research literature: an update”, MIS Quarterly, Vol. 17 No. 2, pp. 209‐25. · DOI
- Clarke, R. (2008), “An exploratory study of information systems researcher impact”, Communications of the Association for Information Systems, Vol. 22, pp. 1‐32. · DOI
- Dwivedi, Y.K., Williams, M.D. and Venkatesh, V. (2008), “Guest Editorial: a profile of adoption of information & communication technologies (ICT) research in the household context”, Information Systems Frontiers, Vol. 10 No. 4, pp. 385‐90. · DOI
Cited by
Sorted by citations
Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066
“The researchmethods employed by the BD researchers in the selected 243 papers and were coded under different categories as suggested by Dwivedi, Kiang, Lal, and Williams (2008) and Dwivedi and Mustafee (2010). The findings suggest that although a total of 11 different types of researchmethodswere recorded fromour data…”
MethodInfluential
Metadata
- Authors
- Dwivedi, Y. K., & Mustafee, N.
- Affiliations
- Swansea University (GB)
- Venue
- Journal of Enterprise Information Management
- Publisher
- Emerald
- Published
- 2010-01-05
- Volume
- 23
- Issue
- 1
- Pages
- 8-26
- ISSN
- 1741-0398 (ISSN-L)
- OpenAlex
- W2093056421
- Cited by
- 25
- References
- 2
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 4 · 2019: 2 · 2017: 1 · 2016: 3 · 2014: 2 · 2013: 1 · 2012: 2
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- green
- bura.brunel.ac.uk
- Locations
- Journal of Enterprise Information Management (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Keywords
- research trends, authorship patterns, co-authorship analysis, research methodology, keyword analysis, citation impact, e-commerce, supply chain management, small and medium-sized enterprises, outsourcing
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