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dc.contributor.authorKatombe, Madi
dc.contributor.authorMunapo, Elias
dc.date.accessioned2017-05-16T06:57:36Z
dc.date.available2017-05-16T06:57:36Z
dc.date.issued2016
dc.identifier.citationKatombe, M. & Munapo, E. 2016. The quest for process operations variability reduction in manufacturing firms in South Africa. South African Journal of Economic and Management Sciences, 19(3):448-466. [http://dx.doi.org/10.4102/sajems.v19i3.1327]
dc.identifier.issn2222-3436
dc.identifier.issn2222-3436 (Online)
dc.identifier.urihttp://dx.doi.org/10.4102/sajems.v19i3.1327
dc.identifier.urihttp://hdl.handle.net/10394/24381
dc.description.abstractIn an era characterised by a volatile economy, intense competition, and rising energy and material costs, improving operational efficiency has become a necessity for margin purposes and long-term business success. This research study attempts to develop a model for process operations variability reduction that integrates the fundamental drivers, the intermediate measures and the four traditional competitive capabilities: quality, cost, delivery reliability and speed of delivery. In addition, it highlights the precise mechanisms in plants that lead to multiple competitive capabilities development. The concept of a routine-based approach to capabilities development provides a nexus between the earlier actions by the organisation and competitive advantage. Using longitudinal data from the Manufacturing Circle of South Africa, a statistical analysis was conducted to support the model, and path analysis models were developed which confirmed that the performance frontier is really a surface that spans many different dimensions. It is observed that the model clearly outlines pathways to process operations variability reduction through better execution of the routines concerned with maintaining the performance by current processes, improving existing processes, and transforming or changing to new processes.
dc.language.isoen
dc.publisherAOSIS
dc.subjectManufacturing
dc.subjectfirms
dc.subjectcompetitive capability
dc.subjectprocess management
dc.subjectlongitudinal data analysis
dc.titleThe quest for process operations variability reduction in manufacturing firms in South Africa
dc.typeArticle
dc.contributor.researchID28231295 - Munapo, Elias


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