Profiling research published in the journal of enterprise information management (JEIM)

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

Classification of information systems research revisited: A keyword analysis approach

A number of studies have previously been conducted on keyword analysis in order to provide a comprehensive scheme to classify information systems (IS) research. However, these studies appeared prior to 1994, and IS research has clearly developed substantially since then with the emergence of areas such as electronic commerce, electronic government, electronic health and numerous others. Furthermore, the majority of European IS outlets - such as the European Journal of Information Systems and Information Systems Journal - were founded in the early 1990s, and keywords from these journals were not included in any previous work. Given that a number of studies have raised the issue of differences in European and North American IS research topics and approaches, it is arguable that any such analysis must consider sources from both locations to provide a representative and balanced view of IS classification. Moreover, it has also been argued that there is a need for further work in order to create a comprehensive keyword classification scheme reflecting the current state of the art. Consequently, the aim of this paper is to present the results of a keyword analysis utilizing keywords appearing in major peer-reviewed IS publications after the year 1990 through to 2007. This aim is realized by means of the two following objectives: (1) collect all keywords appearing in 24 peer reviewed IS journals after 1990; and (2) identify keywords not included in the previous IS keyword classification scheme. This paper also describes further research required in order to place new keywords in appropriate IS research categories. The paper makes an incremental contribution toward a contemporary means of classifying IS research. This work is important and useful for researchers in understanding the area and evolution of the IS field and also has implications for improving information search and retrieval activities

Examining the socio-economic determinants of adoption of the 'Government Gateway' initiative in the UK

This paper empirically examines the impact of socio-economic determinants upon the adoption of a recent UK e-government initiative, the 'Government Gateway'. The data on five socio-economic characteristics was collected employing a postal survey. The findings of this research suggest that the three variables of age, gender and occupation significantly differentiated the adopters from the non-adopters of the Government Gateway, whilst education and income were found to be non-significant. The implications of the findings are discussed in the context of promoting the adoption of emerging Information and Communication Technologies (ICT) and reducing the digital divide against less privileged parts of the population

Profiling electronic commerce research published in the Journal of Electronic Commerce Research

This article endeavors to profile the types of research published in the Journal of Electronic Commerce Research (JECR) from 2000 to 2007. An analysis of the published material includes examining variables such as citation analysis, universities associated with the most publications, geographic diversity, authors' backgrounds, subject areas most often investigated, and research methodologies. Like other profiling research, this work has implications for researchers, journal editors, universities, and research institutions. Since this work has utilized variables published in a previous study, the findings will allow a comparison to be made between JECR's profile and other Information Systems (IS) journals. Also, as this is the first profiling work for any Electronic Commerce Journal, it is thus likely to form the basis and motivation for profiling other journals in this area

Green information quality and green brand evaluation: the moderating effects of eco-label credibility and consumer knowledge

PurposeThis study aims to examine the effects of three green information quality dimensions &ndash; persuasiveness, completeness and credibility &ndash; on green brand evaluation and whether this is mediated by green brand credibility. It also examines the moderating effects of eco-label credibility and consumer knowledge on green information quality dimensions and green brand credibility relationships.&nbsp;&nbsp;Design/methodology/approachUsing a structured questionnaire on environmentally-friendly electrical goods/electronics, cosmetic and apparel product advertisements, involving an elaboration task, this study collected usable data from 1,282 Indian consumers across 50 cities. It also undertook an assessment for three different product groups using structural equation modelling to examine proposed hypotheses and assessed moderated mediation using the Hays process model.FindingsThe study indicates that: green brand credibility mediates the effects of green information quality dimensions on green brand evaluation; consumer knowledge moderates the effects of persuasiveness and completeness on green brand credibility and eco-label credibility moderates the effects of persuasiveness and credibility on green brand credibility.Research limitations/implications&nbsp;In green information processing, this study supports the relevance of the elaboration likelihood model and the mediation effect of green brand credibility. It also presents evidence that credible eco-labels enhance green information processing. While the results are broadly consistent across the three product categories, the results may only generalizable to the environmentally-aware urban populations.Practical implications&nbsp;Help brand managers to design advertisements that add brand credibility in environmentally-aware urban markets.Originality/valueIt helps to define green information quality and the interacting effects of eco-label credibility and consumer knowledge in green information processing.</div

Social Media: The Good, the Bad, and the Ugly

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Barriers to the Development of Smart Cities in Indian Context

Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that ‘Governance’ is documented as the most significant category of barriers for smart city development followed by ‘Economic; ‘Technology’; ‘Social’; ‘Environmental’ and ‘Legal and Ethical’. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India

Driving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modelling

YesInnovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions