Tender calls search using a procurement product named entity recogniser

Mehrbod, Ahmad; Grilo, António

doi:10.1016/j.aei.2018.04.005

Cited by 13 publications

(11 citation statements)

References 32 publications

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“…The implementation of e-procurement helps simplify the process for easy integration, hence streamlining and integration of process as a driver has gained attention in literature (Mehrbod and Grilo, 2018; Eadie et al , 2010a, Kang et al , 2013). Due to the number of processes required in project procurement, having a platform that integrates it enhances effective decision making.…”

Section: Classification Of Drivers Of E-procurement For Project Procurementmentioning

confidence: 99%

“…The purpose of e-procurement is to facilitate the use of internet technology and tools on the various processes of procurement for projects (Al-Yahya et al, 2018). Technologies such as e-Tendering, e-Auction, e-Marketplace, e-Catalogue and e-Invoicing have been used to provide effective solutions that covers all procurement stages or dedicated areas of the procurement stages (Mehrbod and Grilo, 2018). For instance, e-Tendering uses internet systems to disseminate information on invitation to tender, receiving tender submissions and the evaluation of tenders for decision making during the tendering stage of procurement.…”

Section: Introductionmentioning

confidence: 99%

“…The introduction of e-procurement for conducting procurements for projects, to improve the traditional paper-based procurement, has had a slow uptake towards the process of project procurement (Isikdag, 2019; Jacobsson et al , 2017). E-procurement is described as performing project procurement-related activities such as tender submission and evaluation for a project through the internet or electronic portals (Mehrbod and Grilo, 2018). Project procurement has many different stakeholders such as architects, cost engineers, project managers, clients, etc., contributing information to the procurement process, and managing these information flows raises complexities (Bienhaus and Haddud, 2018; Xue et al , 2010).…”

Section: Introductionmentioning

confidence: 99%

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The ecosystem of drivers for electronic procurement adoption for construction project procurement

Yevu¹,

Yu²

2019

ECAM

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Purpose The purpose of this paper is to present a review of research developments on the ecosystem of driving forces for electronic procurement (e-procurement) on project procurement and to propose directions for future research for an effective adoption and sustained usage. Design/methodology/approach A systematic literature review was conducted in three phases to identify and examine literature. A total of 68 papers were retrieved and were thoroughly reviewed to identify the drivers for e-procurement. Findings A total of 61 drivers were identified and subsequently developed into a categorization framework for synthesized understanding which reveals existing interrelationships. Although literature has consensus on some selected drivers, few studies have identified drivers relating to sustainability. Gaps were identified from the existing literature and directions for future research were proposed. Research limitations/implications Since this is a literature review, future research could conduct further investigations focusing on the research gaps identified. The framework developed presents a basis for further research to explore the drivers in various socio-economic environments. Practical implications This study provides valuable insights for improving the understanding of practitioners on the complex network of drivers for e-procurement. These findings stimulate discussions on benefits required for assessment in e-procurement adoption by practitioners. Originality/value This study provides the first comprehensive review of the drivers for e-procurement adoption in the construction industry, which was lacking in the existing body of knowledge.

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Section: Classification Of Drivers Of E-procurement For Project Procurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The ecosystem of drivers for electronic procurement adoption for construction project procurement

Yevu¹,

Yu²

2019

ECAM

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“…In recent years, the drive for digitalization paved the way for the introduction of electronic procurement systems (EPSs) to provide sustainable solutions and collaborative environments in the building lifecycle, via construction procurement (Yu et al, 2020). EPSs transform the conventional manual process of procurement into digital procurement systems, thereby, reducing the fragmentation and inefficiencies limiting the contribution of construction procurement to sustainable construction (Mehrbod and Grilo, 2018). The benefits of EPSs span vertically throughout the various stages of building projects and horizontally across the dimensions of sustainability.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the application of strategies promoting electronic procurement systems towards sustainable construction in the building lifecycle: A neurofuzzy model approach

Yevu

Adinyira

et al. 2022

Journal of Cleaner Production

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“…Some papers have proposed similar tools, but only the tenders are characterised or analysed, not the bidders, e.g., a product search service [8] or a similar tenders engine search (comparison of one tender to all other tenders according to specific criteria) [9]. Our work is based on the profile of the winning companies rather than the characteristics of the tender.…”

Section: Introductionmentioning

confidence: 99%

Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain

et al. 2020

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Recommending the identity of bidders in public procurement auctions (tenders) has a significant impact in many areas of public procurement, but it has not yet been studied in depth. A bidders recommender would be a very beneficial tool because a supplier (company) can search appropriate tenders and, vice versa, a public procurement agency can discover automatically unknown companies which are suitable for its tender. This paper develops a pioneering algorithm to recommend potential bidders using a machine learning method, particularly a random forest classifier. The bidders recommender is described theoretically, so it can be implemented or adapted to any particular situation. It has been successfully validated with a case study: an actual Spanish tender dataset (free public information) which has 102,087 tenders from 2014 to 2020 and a company dataset (nonfree public information) which has 1,353,213 Spanish companies. Quantitative, graphical, and statistical descriptions of both datasets are presented. The results of the case study were satisfactory: the winning bidding company is within the recommended companies group, from 24% to 38% of the tenders, according to different test conditions and scenarios.

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Tender calls search using a procurement product named entity recogniser

Cited by 13 publications

References 32 publications

The ecosystem of drivers for electronic procurement adoption for construction project procurement

The ecosystem of drivers for electronic procurement adoption for construction project procurement

Optimizing the application of strategies promoting electronic procurement systems towards sustainable construction in the building lifecycle: A neurofuzzy model approach

Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain

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