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 language | English |
|---|---|
| Title of host publication | 2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 125-130 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781908320520 |
| DOIs | |
| Publication status | Published - Feb 17 2016 |
| Event | 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015 - London, United Kingdom Duration: Dec 14 2015 → Dec 16 2015 |
Other
| Other | 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 12/14/15 → 12/16/15 |
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All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications
Cite this
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Case-based reasoning system for predicting the sustainability of a telecentre. / Ayoung, Azerikatoa D.; Sigweni, Boyce; Abbott, Pamela.
2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 125-130 7412072.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Case-based reasoning system for predicting the sustainability of a telecentre
AU - Ayoung, Azerikatoa D.
AU - Sigweni, Boyce
AU - Abbott, Pamela
PY - 2016/2/17
Y1 - 2016/2/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84964466973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964466973&partnerID=8YFLogxK
U2 - 10.1109/ICITST.2015.7412072
DO - 10.1109/ICITST.2015.7412072
M3 - Conference contribution
AN - SCOPUS:84964466973
SP - 125
EP - 130
BT - 2015 10th International Conference for Internet Technology and Secured Transactions, ICITST 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -