Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/4020
Title: Profiling research published in the journal of enterprise information management (JEIM)
Authors: Dwivedi, YK
Mustafee, N
Keywords: IS Research;Research Profile
Issue Date: 2010
Publisher: Emerald
Citation: Journal of Enterprise Information Management, 23 (1): 8-26
Abstract: 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 to 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 finding are in relation to the period of analysis (1999 to 2008). (a) 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. (b) The largest proportion of contributions came from researchers and practitioners with an information systems background, followed by those with a background in business and computer science and IT. (c) The keyword analysis suggests that ‘information systems’, ‘electronic commerce’, ‘internet’, ‘logistics’, ‘supply chain management’, ‘decision making’, ‘small to medium-sized enterprises’, ‘information management’, ‘outsourcing’, and ‘modelling’ were the most frequently investigated keywords. (d) The paper presents and discusses the findings obtained from the citation analysis that determines the impact of the research published in the 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.
URI: http://www.emeraldinsight.com/Insight/viewContentItem.do;jsessionid=EC84E4C54627CB3734C31EE1BC93ECD8?contentType=Article&hdAction=lnkpdf&contentId=1827458&dType=SUB&history=false
http://bura.brunel.ac.uk/handle/2438/4020
DOI: http://dx.doi.org/10.1108/17410391011008888
ISSN: 1741-0398
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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