A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies

Detalhes bibliográficos
Autor(a) principal: Luo, G.
Data de Publicação: 2023
Outros Autores: Serrão, C., Liang, D., Zhou, Y.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/29266
Resumo: With the emergence of digital transformation, there is an increasing need for Chinese construction companies to adopt digital procurement (D-procurement). However, there is a lack of theoretical foundation to guide and support the adoption practices. This study aims to fill the research gap through the provision of a model by grouping a set of relevance-based critical success factors (CSFs) into the Technology–Organisation–Environment (TOE) framework for D-procurement adoption success (DAS). A case study approach is applied in the research. We selected H Group as it is one of the most representative D-procurement cases in China. The study includes two parts. In the first part, a systematic literature review was conducted, and 17 CSFs were identified from 12 selected studies. By grouping the 17 CSFs into the TOE framework, we put forward a basic CSF–TOE model. In the second part, an in-depth interview was carried out in H Group, where the 17 selected experts were asked to rank the previously identified CSF. Based on their order of relevance, the 17 CSFs were re-organised in the basic CSF–TOE model, and a relevance-based CSF–TOE model was finally proposed. This study is vital for D-procurement adoption because most existing CSF studies are based on the literature and questionnaire surveys, and there is a lack of actual case studies. In addition, this study significantly contributes to the field of D-procurement adoption for construction companies by providing a theoretical framework for practice and a relevance-based CSF–TOE model for research.
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spelling A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companiesDigital transformationDigital procurementCritical success factorsRelevance-based CSF-TOE modelD-procurement adoptionWith the emergence of digital transformation, there is an increasing need for Chinese construction companies to adopt digital procurement (D-procurement). However, there is a lack of theoretical foundation to guide and support the adoption practices. This study aims to fill the research gap through the provision of a model by grouping a set of relevance-based critical success factors (CSFs) into the Technology–Organisation–Environment (TOE) framework for D-procurement adoption success (DAS). A case study approach is applied in the research. We selected H Group as it is one of the most representative D-procurement cases in China. The study includes two parts. In the first part, a systematic literature review was conducted, and 17 CSFs were identified from 12 selected studies. By grouping the 17 CSFs into the TOE framework, we put forward a basic CSF–TOE model. In the second part, an in-depth interview was carried out in H Group, where the 17 selected experts were asked to rank the previously identified CSF. Based on their order of relevance, the 17 CSFs were re-organised in the basic CSF–TOE model, and a relevance-based CSF–TOE model was finally proposed. This study is vital for D-procurement adoption because most existing CSF studies are based on the literature and questionnaire surveys, and there is a lack of actual case studies. In addition, this study significantly contributes to the field of D-procurement adoption for construction companies by providing a theoretical framework for practice and a relevance-based CSF–TOE model for research.MDPI2023-09-05T15:53:11Z2023-01-01T00:00:00Z20232023-09-05T16:51:21Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/29266eng2071-105010.3390/su151612260Luo, G.Serrão, C.Liang, D.Zhou, Y.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:33:06Zoai:repositorio.iscte-iul.pt:10071/29266Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:14:53.128894Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
title A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
spellingShingle A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
Luo, G.
Digital transformation
Digital procurement
Critical success factors
Relevance-based CSF-TOE model
D-procurement adoption
title_short A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
title_full A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
title_fullStr A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
title_full_unstemmed A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
title_sort A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
author Luo, G.
author_facet Luo, G.
Serrão, C.
Liang, D.
Zhou, Y.
author_role author
author2 Serrão, C.
Liang, D.
Zhou, Y.
author2_role author
author
author
dc.contributor.author.fl_str_mv Luo, G.
Serrão, C.
Liang, D.
Zhou, Y.
dc.subject.por.fl_str_mv Digital transformation
Digital procurement
Critical success factors
Relevance-based CSF-TOE model
D-procurement adoption
topic Digital transformation
Digital procurement
Critical success factors
Relevance-based CSF-TOE model
D-procurement adoption
description With the emergence of digital transformation, there is an increasing need for Chinese construction companies to adopt digital procurement (D-procurement). However, there is a lack of theoretical foundation to guide and support the adoption practices. This study aims to fill the research gap through the provision of a model by grouping a set of relevance-based critical success factors (CSFs) into the Technology–Organisation–Environment (TOE) framework for D-procurement adoption success (DAS). A case study approach is applied in the research. We selected H Group as it is one of the most representative D-procurement cases in China. The study includes two parts. In the first part, a systematic literature review was conducted, and 17 CSFs were identified from 12 selected studies. By grouping the 17 CSFs into the TOE framework, we put forward a basic CSF–TOE model. In the second part, an in-depth interview was carried out in H Group, where the 17 selected experts were asked to rank the previously identified CSF. Based on their order of relevance, the 17 CSFs were re-organised in the basic CSF–TOE model, and a relevance-based CSF–TOE model was finally proposed. This study is vital for D-procurement adoption because most existing CSF studies are based on the literature and questionnaire surveys, and there is a lack of actual case studies. In addition, this study significantly contributes to the field of D-procurement adoption for construction companies by providing a theoretical framework for practice and a relevance-based CSF–TOE model for research.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-05T15:53:11Z
2023-01-01T00:00:00Z
2023
2023-09-05T16:51:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/29266
url http://hdl.handle.net/10071/29266
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su151612260
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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