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Managing social network-related risks in mega construction project supply chains in Africa
Thesis (PhD)--Stellenbosch University, 2024.
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Stellenbosch : Stellenbosch University
2024
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| _version_ | 1867613916629041152 |
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| access_status_str | Open Access |
| author | Kadan, Richard |
| author2 | Wium, Jan |
| author_browse | Kadan, Richard Wium, Jan |
| author_facet | Wium, Jan Kadan, Richard |
| author_sort | Kadan, Richard |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (PhD)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/130591 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:43:44.982Z |
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| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
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| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/130591 Managing social network-related risks in mega construction project supply chains in Africa Kadan, Richard Wium, Jan Stellenbosch University. Faculty of Engineering. Dept. of Civil Engineering. Construction industry --Risk management -- Africa Supply chain management -- Africa Construction projects -- Africa Social networks - Africa Thesis (PhD)--Stellenbosch University, 2024. ENGLISH ABSTRACT: Megaprojects are characterized by significant funding (often in billions of dollars), diverse stakeholders and complex supply chains, and usually impacting local populations and economies. In addition to the direct involvement of contractors and project owners in the construction process, multiple layers of players, including government agencies and project intermediaries, play significant roles in the supply chain. The stakeholders undertake diverse roles and responsibilities to facilitate the flow of materials, information, services, products, and finances, contributing to the complexity of supply chains and generating risks due to the dynamic interactions among them. The absence of analysis of these interactions hinders our comprehension of how social ties influence the distribution of risk management responsibilities and the involvement of different stakeholders in project dynamics. However, the role of social relationships and ties within supply chain networks in megaprojects remains unexplored. Therefore, an analysis of construction supply chain risk management from the perspective of social networks is essential for identifying related stakeholders, their relationships, and the social network risk factors, as well as strategies to mitigate supply chain disruption resulting from social network challenges. In this context, a social network encompasses the complex and dynamic interactions among project participants, both individuals and organizations involved in the supply chain of megaprojects. Furthermore, the bulk of research in the field of Supply Chain Management (SCM) has historically centred around the developed world. This study seeks to bridge this gap by shedding light on SCM dynamics in the specific contexts of South Africa and Ghana, offering a valuable perspective that contributes to the overall understanding of supply chain processes, especially in regions that have been underrepresented in existing research. The aim of the study is to develop and validate a management framework for managing social network-related supply chain risks in megaprojects. The seven objectives of the study were addressed through a combination of methods including extensive literature review, semi-structured interviews, and structured questionnaire survey. The data were analysed mainly through thematic analysis, social network analysis, relative importance index, mean score ranking, standard deviation, risk significance index, and fuzzy synthesis analysis. The findings revealed that social network elements significantly contribute to supply chain risks, including attributes, local community involvement, client expectations, project environment, and subcontractor/supplier capacity. The study revealed that network elements that significantly contribute to risks in the supply chains are 'effects of key social network attributes,' 'local community participation/inclusivity,' 'client community expectations,' 'project environment and stakeholder demographics,' and 'subcontractor/supplier capacity.' Central stakeholders, such as consultants, contractors, and clients, were identified as key players whose positions in the network impact decision-making and the success of risk management. Prioritizing relationships with these influential stakeholders, strengthens organizations' ability to navigate social network complexities, enhance decision-making, and manage risks in megaprojects. Information exchange emerged as a key factor driving stakeholder interactions, leading to communication risks in the supply chain. Additionally, the study identified 65 social network risk factors, with the five most significant being 'bribery and corruption practices,' 'supplier monopoly leading to material price escalation,' 'inadequate/incomplete composition of design teams,' 'poor communication/lack of shared information across project teams,' and 'lack of collaboration among supply chain participants.' Categorizing risk factors through fuzzy synthesis analysis highlighted 'stakeholder opportunism' as the most critical category in megaproject supply chains. The study recommended several strategies, including collaboration, communication management, stakeholder management, and organizational policies, to support risk management efforts. The findings were consolidated into a framework for managing social network risks in megaproject supply chains. This framework involves processes to determine social network dimensions, identify critical stakeholders and risks, conduct risk analysis, and implement mitigation measures. This study's contribution pertains to the significance of social networks developed around supply chains of megaprojects, demonstrating the need to consider various relationships—social interactions—beyond formal contractual relationships to improve supply chain risk management. It is expected that the findings and recommendations stemming from this study have the potential to inform and guide strategies not only in African countries but also in various developing areas globally. Furthermore, the outcomes of this research will adequately position Social Network Analysis (SNA) in Supply Chain Risk Management (SCRM) and stimulate future research, especially in the context of megaprojects in Africa and other developing countries. While this research contributes significantly to understanding the impact of social relationships on supply chain risk management in megaprojects, the limitations highlight the need for caution in generalizing findings beyond the studied countries and the importance of considering the constraints associated with non-probability sampling techniques. Furthermore, the study is limited by the validation method where participants in the main study also participated in the validation process. AFRIKAANSE OPSOMMING: Megaprojekte word gekenmerk deur aansienlike befondsing (dikwels in miljarde dollars), diverse belanghebbendes en komplekse voorsieningskettings, en het gewoonlik 'n impak op plaaslike bevolkings en ekonomieë. Benewens die direkte betrokkenheid van kontrakteurs en projekeienaars by die konstruksieproses, is daar verskeie and rolspelers betrokke, insluitend regeringsagentskappe en projektussengangers. Hierdie betrokkenheid skep 'n komplekse web van verhoudings, met veelvuldige lae van deelnemers, insluitend regeringsagentskappe en projektussengangers, wat belangrike rolle in die voorsieningsketting vervul. Die belanghebbendes onderneem diverse rolle en verantwoordelikhede om die vloei van inligting, materiaal, dienste, produkte en finansies te fasiliteer, wat uiteindelik bydra tot die kompleksiteit van voorsieningskettings. Dit genereer risiko's as gevolg van die dinamiese interaksies tussen belanghebbendes. Die afwesigheid van ʼn analise van hierdie verhoudings beperk die begrip van hoe sosiale verbintenisse die verdeling van risikobestuur en die betrokkenheid van verskillende partye beïnvloed. Die rol van sosiale verhoudings en verhoudings in voorsieningskettingnetwerke in megaprojekte bly onontgin. Gevolglik is 'n ontleding van konstruksie-voorsieningskettingrisikobestuur vanuit die perspektief van sosiale netwerke noodsaaklik vir die identifisering van verwante belanghebbendes, hul verhoudings en die sosiale netwerk-risikofaktore, sowel as strategieë om voorsieningskettingontwrigting as gevolg van sosiale netwerk-uitdagings te versag. In hierdie navorsing word 'n sosiale netwerk gedefinieer as die interaksies wat in megaprojekte bestaan tussen projekdeelnemers, insluitend individue en organisasies die voorsieningsketting. Die grootste bydrae tot historiese navorsing op die gebied van voorsieningskettingbestuur (SCM) is gefokus op ontwikkelde lande. Hierdie studie poog om hierdie gaping te oorbrug deur lig te werp op SCM-dinamika in die spesifieke kontekste van Suid-Afrika en Ghana, en bied 'n waardevolle perspektief wat bydra tot die algehele begrip van voorsieningskettingprosesse, veral in streke wat onderverteenwoordig is in vorige navorsing. Die doelwit van hierdie studie is om ʼn bestuursraamwerk te ontwikkel om sosiale netwerk-verwante risiko’s in megaprojekte te bestuur. Die sewe doelwitte van die studie is aangespreek deur 'n kombinasie van metodes, insluitend ʼn uitgebreide literatuuroorsig, semi-gestruktureerde onderhoude en gestruktureerde opname vraelyste. Die data is hoofsaaklik ontleed deur tematiese analise, sosiale netwerk analise, relatiewe belangrikheidsindeks, gemiddelde telling rangorde, standaardafwyking, risiko beduidendheidsindeks, en “fuzzy” sintese analise. Die bevindinge is dat sosiale netwerkelemente aansienlik bydra tot voorsieningskettingrisiko's, wat insluit plaaslike gemeenskapsbetrokkenheid, kliëntverwagtinge, projekomgewing en subkontrakteur/verskafferkapasiteit. Die studie toon aan dat die netwerkelemente wat aansienlik bydra tot risiko's in die voorsieningskettings sluit in: 'effekte van belangrike sosiale netwerk-eienskappe', 'plaaslike gemeenskapsdeelname/-inklusiwiteit', 'kliënt-gemeenskapsverwagtinge', 'projekomgewing en demografie van belanghebbendes' en ' subkontrakteur/verskaffer kapasiteit.' Sentrale belanghebbendes, soos konsultante, kontrakteurs en kliënte, is geïdentifiseer as sleutelspelers wie se posisies in die netwerk die besluitneming en die sukses van risikobestuur beïnvloed. Deur verhoudings met hierdie invloedryke belanghebbendes te prioritiseer, versterk dit die organisasies se vermoë om sosiale netwerkkompleksiteite te navigeer, besluitneming te verbeter en risiko's in megaprojekte te bestuur. Die onderlinge deel van inligting het na vore gekom as 'n sleutelfaktor wat belanghebbendeinteraksies aandryf, en wat gelei het tot kommunikasierisiko's in die voorsieningsketting. Daarbenewens het die studie 65 sosiale netwerkrisikofaktore geïdentifiseer, met die vyf belangrikstes as: 'omkoping- en korrupsiepraktyke', 'verskaffersmonopolie wat tot wesenlike prysverhoging lei', 'onvoldoende/onvolledige samestelling van ontwerpspanne', 'swak kommunikasie/gebrek aan deel van inligting tussen projekspanne,' en 'gebrek aan samewerking tussen voorsieningskettingdeelnemers.' Die kategorisering van risikofaktore deur “fuzzy” sintese-analise het 'belanghebbendeopportunisme' uitgelig as die mees kritieke kategorie in megaprojek-verskaffingskettings. Die studie beveel verskeie strategieë aan, insluitend samewerking, kommunikasiebestuur, bestuur van belanghebbendes en organisasiebeleide, om risikobestuurspogings te ondersteun. Die bevindinge word saamgevat in 'n voorgestelde raamwerk vir die bestuur van sosiale netwerkrisiko's in megaprojekverskaffingskettings. Hierdie raamwerk behels prosesse om sosiale netwerkdimensies te bepaal, kritieke belanghebbendes en risiko's te identifiseer, risiko-analise uit te voer en versagtingsmaatreëls te implementeer. Die studie maak ʼn bydrae tot die belangrikheid van sosiale netwerke wat ontwikkel rondom voorsieningskettings van megaprojekte. Dit wys op ʼn behoefte om belangrike verhoudings en https://scholar.sun.ac.za vi interaksies buite die formele kontraktuele verhoudings te oorweeg om voorsieningskettingrisikobestuur te verbeter. Daar word verwag dat die bevindinge en aanbevelings wat uit hierdie studie voortspruit die potensiaal het om strategieë in te lig en te rig, nie net in Afrika-lande nie, maar ook in verskeie ontwikkelende gebiede wêreldwyd. Verder sal die uitkomste van hierdie navorsing sosiale netwerkanalise (SNA) voldoende posisioneer in voorsieningskettingrisikobestuur (SCRM) en toekomstige navorsing stimuleer, veral in die konteks van megaprojekte in Afrika en ander ontwikkelende lande. Alhoewel hierdie navorsing aansienlik bydra tot die begrip van sosiale verhoudings se impak op voorsieningskettingrisikobestuur in megaprojekte, vereis die beperkings versigtigheid in veralgemening van bevindings buite die bestudeerde lande en die belangrikheid daarvan om die beperkings wat met nie-waarskynlikheidsteekproeftegnieke geassosieer word, in ag te neem. Verder word die studie beperk deurdat deelnemers aan die hoofstudie ook by die stawingsproses betrokke was. Doctorate 2024-02-16T06:10:26Z 2024-04-26T23:11:11Z 2024-02-16T06:10:26Z 2024-04-26T23:11:11Z 2024-03 Thesis https://scholar.sun.ac.za/handle/10019.1/130591 en_ZA en_ZA Stellenbosch University ix, 279 pages : illustrations. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Construction industry --Risk management -- Africa Supply chain management -- Africa Construction projects -- Africa Social networks - Africa Kadan, Richard Managing social network-related risks in mega construction project supply chains in Africa |
| title | Managing social network-related risks in mega construction project supply chains in Africa |
| title_full | Managing social network-related risks in mega construction project supply chains in Africa |
| title_fullStr | Managing social network-related risks in mega construction project supply chains in Africa |
| title_full_unstemmed | Managing social network-related risks in mega construction project supply chains in Africa |
| title_short | Managing social network-related risks in mega construction project supply chains in Africa |
| title_sort | managing social network related risks in mega construction project supply chains in africa |
| topic | Construction industry --Risk management -- Africa Supply chain management -- Africa Construction projects -- Africa Social networks - Africa |
| url | https://scholar.sun.ac.za/handle/10019.1/130591 |
| work_keys_str_mv | AT kadanrichard managingsocialnetworkrelatedrisksinmegaconstructionprojectsupplychainsinafrica |