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Understanding the Value of Evaluating ICT Models to Improve Medium and Small Enterprises

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e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2014)

Abstract

This research investigated evaluation models for understanding the value of Information and Communication Technology (ICT) Operational Risk Management (ORM) in Medium and Small Enterprises (MSEs). Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Consequently, looking at (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4 % of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance.

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Notes

  1. 1.

    In this study ‘business,’ ‘firm’ ‘organisation’ and ‘institutions’ are used interchangeably.

  2. 2.

    A four point Likert scale also cf. questionnaire.

  3. 3.

    Payback method is used to evaluate and align objectives of executive management and information systems projects.

  4. 4.

    Portfolio analysis and scoring models are used to evaluate and align objectives of executive management and information systems projects.

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Correspondence to Paul Tarwireyi .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Bayaga, A., Tarwireyi, P., Adu, E. (2015). Understanding the Value of Evaluating ICT Models to Improve Medium and Small Enterprises. In: Nungu, A., Pehrson, B., Sansa-Otim, J. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-319-16886-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-16886-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16885-2

  • Online ISBN: 978-3-319-16886-9

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