A learning curve theory perspective on projects. Ranking the key determinants to improve project efficiency

dc.contributor.authorHattingh, E.
dc.contributor.authorVan Waveren, Cornelis Cristo
dc.contributor.authorChan, Kai-Ying
dc.contributor.emailalice.chan@up.ac.zaen_ZA
dc.date.accessioned2019-08-19T12:38:15Z
dc.date.available2019-08-19T12:38:15Z
dc.date.issued2019-05
dc.description.abstractThe desire to gain knowledge about the quality and timing of construction projects delivered to clients has become an increased focus point in the field of construction management. Clients have expectations that are often based on their assumptions about the validity of making the learning curve theory applicable to construction projects. This research aims to determine what criteria need to be met for the learning curve theory to have some validity for construction projects. The results from the questionnaire survey, completed by professionals from the construction industry, show that several concepts were found to be of importance: project specifications, design, scope, budget, site management, planning, monitoring and controlling, and quality. If these concepts correspond between two projects, the chance of successfully applying the learning curve theory increases. Practical recommendations are made that highlight the concepts identified as critical for the successful application of the learning curve theory to construction projects, and that can be used by clients and contractors as a basis for negotiating project schedules.en_ZA
dc.description.abstractAs deel van die evolusie in konstruksiebestuur het kennis van projekkwaliteit asook die tydsduur van konstruksieprojekte ‘n groter noodsaaklikheid geword. Kliënte het verwagtinge wat dikwels gebaseer word op persoonlike aannames rondom die geldigheid van die leerkurweteorie en die toepaslikheid daarvan op konstruksieprojekte. Die doel van hierdie navorsing is om die projekkriteria te bepaal wat in plek moet wees om die geldigheid van die leerkurweteorie op konstruksieprojekte te bevorder. Die uitslag van die opnamevraelys, wat deur professionele persone in die konstruksiebedryf voltooi is, het getoon dat daar verskeie kriteria van belang is, naamlik: die projekspesifikasie, die ontwerp en omvang van die projek, die begroting, die bestuur van die konstruksiewerf, die beplanning, monitering en kontrole, asook die kwaliteitverwagtinge van die projek. Indien meerdere van hierdie kriteria tussen twee projekte ooreenstem, verhoog dit die kans dat die leerkurweteorie suksesvol van een projek na ʼn ander toegepas kan word. Ter afsluiting word praktiese aanbevelings gemaak wat die belangrike kriteria uitlig wat nodig is vir die suksesvolle toepassing van die leerkurweteorie op konstruksieprojekte. Hierdie aanbevelings kan deur kliente en kontrakteurs gebruik word as ʼn basis tydens die onderhandeling van projekskedules vir opkomende en soortgelyke projekte.en_ZA
dc.description.departmentGraduate School of Technology Management (GSTM)en_ZA
dc.description.librarianam2019en_ZA
dc.description.urihttp://sajie.journals.ac.zaen_ZA
dc.identifier.citationHattingh, E., Van Waveren, C.C. & Chan, K.Y. 2019, 'A learning curve theory perspective on projects. Ranking the key determinants to improve project efficiency', South African Journal of Industrial Engineering, vol. 30, no. 1, pp. 37-53.en_ZA
dc.identifier.issn1012-277X (print)
dc.identifier.issn2224-7890 (online)
dc.identifier.other10.7166/30-1-1886
dc.identifier.urihttp://hdl.handle.net/2263/71140
dc.language.isoenen_ZA
dc.publisherSouthern African Institute for Industrial Engineeringen_ZA
dc.rights© 2019, South African Institute of Industrial Engineering. All rights reserved. This article is licensed under a Creative Commons Attribution 3.0 License.en_ZA
dc.subjectKnowledgeen_ZA
dc.subjectConstruction projectsen_ZA
dc.subjectClientsen_ZA
dc.subjectKennisen_ZA
dc.subjectKonstruksieprojekteen_ZA
dc.subjectKlienteen_ZA
dc.titleA learning curve theory perspective on projects. Ranking the key determinants to improve project efficiencyen_ZA
dc.typeArticleen_ZA

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