The Electronic Journal of Information Systems Evaluation provides critical perspectives on topics relevant to Information Systems Evaluation, with an emphasis on the organisational and management implications
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Journal Issue
Volume 15 Issue 1, ECIME 2011 / Jan 2012  pp1‑148

Editor: Walter Castelnovo, Elena Ferrari

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Editorial for the Special ECIME Edition of EJISE – Volume 5 Issue 1  pp1‑2

Walter Castelnovo, Elena Ferrari

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Exploring the SME Quandary: Data Governance in Practise in the Small to Medium‑Sized Enterprise Sector  pp3‑13

Carolyn Begg, Tom Caira

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Abstract

The purpose of this paper is to explore how small to medium‑sized enterprises (SMEs) perceive data and data governance and investigates whether current data governance frameworks are applicable to SMEs. Enterprises of all sizes and complexity have had to learn how to operate in an increasingly digital business environment. Such an environment demands that an enterprise equips itself with the ability to use its data effectively both internally and when dealing with external partners such as suppliers and customers. Enterprises now recognise that both their survival and success requires taking control of all aspects of their data as a critical business resource. In recognition of the demands placed on enterprises in this digital age, a discipline has emerged called data governance. Although the definition of data governance is still evolving, current usage describes this discipline as being a facilitator for enterprises to take control over all aspects of their data resource from the setting of integrity constraints for data quality to the creation of enterprise‑wide policies on data access and security. Large enterprises are often better placed to absorb the necessary demands that data governance places on resources. However, for the resource‑poor SME, the investment in data governance is far more challenging but nevertheless critical in the digital business environment. This paper reviews examples of published data governance frameworks to establish whether these frameworks are applicable to SMEs. A data governance framework (Khatri & Brown, 2010) is assessed using ten SMEs that have differing data requirements. This research is further enhanced by reviewing the results of a project which audited technology use in SMEs. This paper finds that although many data governance frameworks claim to be adaptable and scalable, there is little published evidence by industry or academics on the application of data governance to SMEs. Furthermore, our research revealed that the optimal use of data governance frameworks requires that those with authority and res 

 

Keywords: data governance, SME, data management, data quality, framework

 

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Framework for Mobile Payments Integration  pp14‑25

Fergal Carton, Jonas Hedman, Denis Dennehy, Jan Damsgaard, Kay-Ti Tan, J. B. McCarthy

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SMEs and IT: Evidence for a Market for “Lemons”  pp26‑35

Jan Devos, Hendrik Van Landeghem, Dirk Deschoolmeester

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GIS for Crime Analysis:Geography for Predictive Models  pp36‑49

Jorge Ferreira, Paulo Joao, Jose Martins

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Field Work With Older Users ‑ Challenges in Design and Evaluation of Information Systems  pp50‑62

Marja Harjumaa, Minna Isomursu

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Management of Information Systems Outsourcing: Evaluation of Lessons Learned From a Boundary Spanning Perspective  pp63‑73

Bjorn Johansson, Linda Bergkvist

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Measuring the Effectiveness of Organizational Knowledge Based Economy  pp74‑87

Ghassan Kbar, Abdul Aziz AlDusari

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Alignment in Enterprise Architecture: A Comparative Analysis of Four Architectural Approaches  pp88‑101

Thanos Magoulas, Aida Hadzic, Ted Saarikko, Kalevi Pessi

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Requirements Elicitation for the Technology Conception of a Community Information System for the Indigenous Microenterprise: A Contextual Multi‑Analysis Approach on Business and Community Requirements of Batik Making  pp102‑115

Nor Laila Md Noor, Ariza Nordin

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Enterprise Information Systems of new Generation  pp116‑126

Elena Serova

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Reconstructing the Past for Organizational Accountability  pp127‑137

Geert-Jan van Bussel

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The Relation Between Dynamic Business Models and Business Cases  pp138‑148

Bart-Jan van Putten, Markus Schief

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