• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
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HOME > Archive > 2012 > Volume 3 Number 6 (Dec. 2012) >
IJIMT 2012 Vol.3(6): 740-746 ISSN: 2010-0248

Prediction Model for Characteristics of Implementation of Information Systems in Small and Medium Enterprises

I. Nazor, K. Fertalj, and D. Kalpic

Abstract—The process of choosing an Enterprise Resource Planning (ERP) solution for a Small and Medium Enterprise(SME) is often uncertain and not well defined. In the process of development of a comprehensive methodology for selection of ERP for SME, a prediction model is designed, with the aim of assisting buyers of ERP solutions by predicting certain characteristics of the implementation process. All necessary elements for the prediction process have been designed: parameter set, prediction model, online questionnaires for experts and for the ERP buyer - client, and a software tool. The tool collects, verifies and analyzes collected data and predicts relevant properties of the new ERP implementation project, such as cost, duration, intensity of Business Process Reengineering (BPR) or intensity of users training. The tool interacts with the client in the form of an interview. After each answered question, estimates for all properties of the new project are recalculated, with an increased precision, based on additional data. In order to make the interview process flexible, any question in the interview can be skipped, or the interview aborted at any point and the tool will calculate the best possible prediction for the new project properties based on the available information.

Index Terms—ERP, implementation, knowledge base,project features prediction, SME.

I. Nazor is with University of Split, Croatia (e-mail:inazor@oss.unist.hr).
K. Fertalj and D. Kalpic are with University of Zagreb, Croatia(e-mail: damir.kalpic@fer.hr).

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Cite: I. Nazor, K. Fertalj, and D. Kalpic, "Prediction Model for Characteristics of Implementation of Information Systems in Small and Medium Enterprises," International Journal of Innovation, Management and Technology vol. 3, no. 6, pp. 740-746, 2012.

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