ICT evaluation models and performance of medium and small enterprises

Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM...

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Main Authors: Bayaga Anass, Adu Emmanuel O.
Format: Article
Language:English
Published: Sciendo 2014-01-01
Series:Journal for Perspectives of Economic Political and Social Integration
Subjects:
ICT
Online Access:http://www.degruyter.com/view/j/pepsi.2014.20.issue-1/v10241-012-0023-5/v10241-012-0023-5.xml?format=INT
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spelling doaj-6b5bda4f959a44d88916b41c3549d9252020-11-25T00:55:51ZengSciendoJournal for Perspectives of Economic Political and Social Integration1733-39112300-09452014-01-01201-292410.2478/v10241-012-0023-5v10241-012-0023-5ICT evaluation models and performance of medium and small enterprisesBayaga Anass0Adu Emmanuel O.1School of Continuing and General Education, University of Fort Hare, East London, South AfricaSchool of Continuing and General Education, University of Fort Hare, East London, South AfricaBuilding on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in 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. Conclusively, in answering the two questions (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 chancehttp://www.degruyter.com/view/j/pepsi.2014.20.issue-1/v10241-012-0023-5/v10241-012-0023-5.xml?format=INTICTevaluation modelMedium and Small Enterprises (MSEs)Operational Risk Management (ORM)
collection DOAJ
language English
format Article
sources DOAJ
author Bayaga Anass
Adu Emmanuel O.
spellingShingle Bayaga Anass
Adu Emmanuel O.
ICT evaluation models and performance of medium and small enterprises
Journal for Perspectives of Economic Political and Social Integration
ICT
evaluation model
Medium and Small Enterprises (MSEs)
Operational Risk Management (ORM)
author_facet Bayaga Anass
Adu Emmanuel O.
author_sort Bayaga Anass
title ICT evaluation models and performance of medium and small enterprises
title_short ICT evaluation models and performance of medium and small enterprises
title_full ICT evaluation models and performance of medium and small enterprises
title_fullStr ICT evaluation models and performance of medium and small enterprises
title_full_unstemmed ICT evaluation models and performance of medium and small enterprises
title_sort ict evaluation models and performance of medium and small enterprises
publisher Sciendo
series Journal for Perspectives of Economic Political and Social Integration
issn 1733-3911
2300-0945
publishDate 2014-01-01
description Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in 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. Conclusively, in answering the two questions (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
topic ICT
evaluation model
Medium and Small Enterprises (MSEs)
Operational Risk Management (ORM)
url http://www.degruyter.com/view/j/pepsi.2014.20.issue-1/v10241-012-0023-5/v10241-012-0023-5.xml?format=INT
work_keys_str_mv AT bayagaanass ictevaluationmodelsandperformanceofmediumandsmallenterprises
AT aduemmanuelo ictevaluationmodelsandperformanceofmediumandsmallenterprises
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