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Luo, G., Serrão, C., Liang, D. & Zhou, Y. (2023). A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies. Sustainability. 15 (16)

G. Luo et al.,  "A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies", in Sustainability, vol. 15, no. 16, 2023

@article{luo2023_1716302823613,
	author = "Luo, G. and Serrão, C. and Liang, D. and Zhou, Y.",
	title = "A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies",
	journal = "Sustainability",
	year = "2023",
	volume = "15",
	number = "16",
	doi = "10.3390/su151612260",
	url = "https://www.mdpi.com/journal/sustainability"
}

TY  - JOUR
TI  - A relevance-based Technology-Organisation-Environment model of Critical Success Factors for Digital Procurement Adoption in Chinese construction companies
T2  - Sustainability
VL  - 15
IS  - 16
AU  - Luo, G.
AU  - Serrão, C.
AU  - Liang, D.
AU  - Zhou, Y.
PY  - 2023
SN  - 2071-1050
DO  - 10.3390/su151612260
UR  - https://www.mdpi.com/journal/sustainability
AB  - 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.
ER  -