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A decision support framework for cross-functional team selection
Thesis (PhD)--Stellenbosch University,2023.
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| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University,
2023
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| _version_ | 1867613860469407744 |
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| access_status_str | Open Access |
| author | Venter, Van Zyl |
| author2 | Van Vuuren, Jan Harm
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| author_browse | Van Vuuren, Jan Harm
Venter, Van Zyl |
| author_facet | Van Vuuren, Jan Harm
Venter, Van Zyl |
| author_sort | Venter, Van Zyl |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University, |
| description | Thesis (PhD)--Stellenbosch University,2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/126946 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:42:51.481Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University, |
| publisherStr | Stellenbosch : Stellenbosch University, |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/126946 A decision support framework for cross-functional team selection Venter, Van Zyl Van Vuuren, Jan Harm Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Decision support systems Cross-functional teams Teams in the workplace Thesis (PhD)--Stellenbosch University,2023. ENGLISH ABSTRACT: Teamwork has become an integral part in the functioning of modern-day organisations. A cross-functional team (CFT) is a team consisting of members from different departments in an organisation, with each department prioritising a different skill set. The problem of selecting appropriate candidates to fulfil specific roles in a CFT for the purpose of carrying out a project, called the CFT selection (CFTS) problem, can present the management of an organisation with a challenging task. CFTS is further complicated if team compositional decisions have to be made at multiple points in time over the lifetime of the project. An ability to predict the timings of performance peaks anticipated to be achieved by a pool of available CFT candidates over the entire lifetime of the project may therefore prove valuable when composing the initial project team and updating its composition over the temporal course of the project. An abundance of research has been dedicated to various facets of CFTS, focused on the nature of static CFTs versus dynamic CFTs, methods for determining a ranking of individuals to include in a CFT, modelling the effects of CFT composition decisions on team performance, and determining an objective recommendation as to the selection of individuals for inclusion in a CFT at each of a number of temporal decision points. Various frameworks have also been proposed for improving team performance by facilitating better CFT composition decisions. Most of these frameworks are, however, aimed at single facets of the CFTS problem — generic, integrated frameworks are absent from the literature. A holistic framework is proposed in this dissertation for integrating all of the major components expected to form part of the design of a generic framework for facilitating CFTS. The objective of the framework is ultimately to provide decision support in respect of a number of CFT composition decisions. The framework integrates the processing of historical CFT candidate performance data, the scoring of groups of candidates by means of a multi-criteria decision making procedure, the prediction of future candidate performance based on historical performance data by means of a generic time series forecasting procedure (which includes time series clustering and model ensembling) and, finally, the recommendation of a set of candidates for inclusion in a CFT based on a combinatorial optimisation modelling approach. An instantiation of the framework is implemented on a personal computer as a concept demonstration. The practical applicability of the proposed framework is also showcased by retrospectively evaluating the performance of the framework in the context of two real-world case studies. It is found that the performance of the framework is competitive in view of the numerical results obtained during execution of these case studies. AFRIKAANS OPSOMMING: Spanwerk het ’n integrale deel geword in die werking van hedendaagse organisasies. ’n Kruisfunksionele span (KFS) is ’n span wat uit lede van verskillende departemente in ’n organisasie bestaan, waar elke departement ’n ander vaardigheidstel prioritiseer. Die probleem om geskikte kandidate te kies wat spesifieke rolle in ’n KFS vervul met die doel om ’n projek uit te voer, bekend as die KFS-seleksie (KFSS) probleem, kan ’n komplekse uitdaging vir die bestuur van ’n organisasie bied. KFSS word verder bemoeilik as spansamestellingsbesluite op verskeie tydstippe oor die leeftyd van die projek geneem moet word. ’n Vermo¨e om die tydsberekeninge van prestasiepieke wat na verwagting deur ’n poel beskikbare KFS-kandidate oor die hele leeftyd van die projek bereik sal word, te kan voorspel, kan dus waardevol wees wanneer die aanvanklike projekspan saamgestel word en die samestelling daarvan oor die tydelike verloop van die projek bygewerk word. ’n Oorvloed van navorsing is al aan verskeie fasette van KFSS gewy, met ’n klem op die aard van statiese KFSe versus dinamiese KFSe, metodes vir die bepaling van ’n rangorde van individue wat in ’n KFS ingesluit kan word, modellering van die uitwerking van KFS-samestellingsbesluite op spanprestasie, en die bepaling van ’n objektiewe aanbeveling ten opsigte van die keuse van individue vir insluiting in ’n KFS by elk van ’n aantal temporele besluitnemingspunte. Verskeie raamwerke is ook reeds voorgestel vir die verbetering van spanprestasie as gevolg van beter KFS-samestellingsbesluite. Die meeste van hierdie raamwerke is egter op enkele fasette van die KFSS probleem gemik — generiese, ge¨ıntegreerde raamwerke is afwesig in die literatuur. ’n Holistiese raamwerk word in hierdie proefskrif voorgestel vir die integrasie van al die hoofkomponente wat na verwagting deel behoort te vorm van die ontwerp van ’n generiese raamwerk vir die fasilitering van KFSS. Die doel van die raamwerk is uiteindelik om besluitsteun ten opsigte van ’n aantal KFS-samestellingsbesluite te verskaf. Die raamwerk integreer die verwerking van historiese KFS-kandidaatprestasiedata, die kwanitatiewe beoordeling van groepe kandidate deur middel van ’n multi-kriteria besluitnemingsprosedure, die voorspelling van toekomstige kandidaatprestasie gebaseer op historiese prestasiedata deur middel van ’n generiese tydreeksvoorspellingsprosedure (wat tydreeksgroepering en modelsamestelling insluit) en, laastens, die aanbeveling van ’n versameling kandidate vir insluiting in ’n KFS gebaseer op ’n kombinatoriese optimeringsproses. ’n Instansiasie van die raamwerk word op ’n persoonlike rekenaar as ’n konsepdemonstrasie ge¨ımplementeer. Die praktiese toepaslikheid van die voorgestelde raamwerk word ook ge¨ıllustreer deur die prestasie van die raamwerk terugwerkend in die konteks van twee werklike gevallestudies te evalueer. Daar word bevind dat die prestasie van die raamwerk mededingend is in die lig van die numeriese resultate wat tydens die uitvoering van hierdie gevallestudies verkry is. Doctoral 2023-02-06T07:00:25Z 2023-05-18T06:57:01Z 2023-02-06T07:00:25Z 2023-05-18T06:57:01Z 2023-02 Thesis http://hdl.handle.net/10019.1/126946 en_ZA en_ZA Stellenbosch University, xxx, 317 pages : illustrations application/pdf Stellenbosch : Stellenbosch University, |
| spellingShingle | Decision support systems Cross-functional teams Teams in the workplace Venter, Van Zyl A decision support framework for cross-functional team selection |
| title | A decision support framework for cross-functional team selection |
| title_full | A decision support framework for cross-functional team selection |
| title_fullStr | A decision support framework for cross-functional team selection |
| title_full_unstemmed | A decision support framework for cross-functional team selection |
| title_short | A decision support framework for cross-functional team selection |
| title_sort | decision support framework for cross functional team selection |
| topic | Decision support systems Cross-functional teams Teams in the workplace |
| url | http://hdl.handle.net/10019.1/126946 |
| work_keys_str_mv | AT ventervanzyl adecisionsupportframeworkforcrossfunctionalteamselection AT ventervanzyl decisionsupportframeworkforcrossfunctionalteamselection |