Case-based reasoning system for predicting the sustainability of a telecentre

Azerikatoa D. Ayoung, Boyce Sigweni, Pamela Abbott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Telecentre implementation has been inundated with failure in developing countries. This has necessitated the need for evaluations to unearth reasons for such occurrences. Various methods have been proposed to evaluate IT projects. However, very few of these methods have been used to predict telecentre failure. We combine two approaches (ICT4D evaluation and Machine Learning) to predict the likelihood for failure of a telecentre. Through the use of a case study, this paper uses the well-established Case-Based Reasoning (CBR) methodology to predict failure of telecentres. We apply CBR on real life dataset to predict the Design-Reality Gap score (DRGS). We compare three CBR methods with a naïve benchmark using ArchANGEL. We demonstrate through our experiments that CBR can be used to predict DRGS. This gives a refreshing indication suggesting that it may be feasible to use CBR to evaluate ICT initiatives and to predict adequately outcome of an initiative. Through this mechanism, it may be possible for managers and owners of telecentres to pre-empt an outcome and have the advantage to take mitigating steps. This affords managers an opportunity for remedial action for sustainability.

Original languageEnglish
Title of host publication2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-130
Number of pages6
ISBN (Electronic)9781908320520
DOIs
Publication statusPublished - Feb 17 2016
Event10th International Conference for Internet Technology and Secured Transactions, ICITST 2015 - London, United Kingdom
Duration: Dec 14 2015Dec 16 2015

Other

Other10th International Conference for Internet Technology and Secured Transactions, ICITST 2015
CountryUnited Kingdom
CityLondon
Period12/14/1512/16/15

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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    Ayoung, A. D., Sigweni, B., & Abbott, P. (2016). Case-based reasoning system for predicting the sustainability of a telecentre. In 2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015 (pp. 125-130). [7412072] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITST.2015.7412072