A Systematic Review of the Delphi–AHP Method in Analyzing Challenges to Public-Sector Project Procurement and the Supply Chain: A Developing Country’s Perspective

Autor: Md. Raquibuzzaman Khan, Mohammad Jahangir Alam, Nazia Tabassum, Niaz Ahmed Khan
Rok vydání: 2022
Předmět:
Zdroj: Sustainability. 14:14215
ISSN: 2071-1050
DOI: 10.3390/su142114215
Popis: The effectiveness of public-sector agricultural development projects in developing countries lies not only in their contributions to agricultural sector growth but also in their contributions to environmental and socioeconomic system growth. As a result, the challenges associated with project procurement and supply chain management need to be carefully analyzed and evaluated. Although there has been reasonable literature on procurement and supply chain management, the limitations include the following: The literature, especially focusing on the analytical methodology, is scarce, as is the case with the developing country public-sector project context. This study, in its own modest way, contributes to this gap. Thus, the goal of this paper is to critically examine the Delphi and/or analytical hierarchy process (AHP), as well as their application and appropriateness in analyzing the challenges in the Bangladesh context, from relevant literature published between 2000 and 2019. A systematic review was carried out using the ABI/Inform, EBSCO, Google Scholar, and Science Direct databases for the study. The review of 2071 articles yielded 37 articles for the study. The Delphi and/or AHP were the most applied tools found in the review. Finally, the study examined 18 articles that applied Delphi and/or AHP methods. The review findings contribute to the literature by providing academics and practitioners with an understanding of the appropriateness of the Delphi-based AHP research framework for analyzing challenges to procurement and supply chain management in public-sector agriculture projects. Following that, a novel best-practice research framework based on the Delphi–AHP method is presented.
Databáze: OpenAIRE