CBPM Conference 2026 · Vol. 2026, Issue 1

An Evaluation of Automated Tendering Systems as a Solution to Challenges in Traditional Tendering Processes

Scelo Mhlongo and Thabo Khafiso

Keywords: automated tendering, e-procurement, procurement efficiency, transparency, digital transformation, technology acceptance

Abstract

Traditional tendering processes are frequently associated with prolonged procurement timelines, high administrative costs, limited transparency, and vulnerability to human error and corruption. Although digital procurement and e-tendering have received increasing attention, there remains limited integrated analysis of how automated tendering can address the operational and governance weaknesses of traditional tendering while accounting for the conditions that shape successful implementation, particularly in developing contexts. This study evaluates automated tendering systems as a digital solution to challenges in traditional tendering processes and examines the main barriers that may limit their effectiveness. A qualitative exploratory research design was adopted using a structured systematic literature review and thematic content analysis of peer-reviewed journal articles, conference papers, policy documents, and practitioner-oriented sources relevant to e-procurement, etendering, digital transformation, and procurement performance. The literature was examined through recurring themes concerning procurement efficiency, transparency, accountability, technological readiness, human capacity, regulation, and organisational change. The findings indicate that automated tendering can reduce manual intervention, improve procurement efficiency, strengthen transparency and accountability, and improve access to procurement information. However, these benefits are constrained by inadequate technological infrastructure, limited digital literacy, regulatory uncertainties, and resistance to organisational change. The study's novelty lies in integrating these technological, human, institutional, and organisational dimensions through the Technology Acceptance Model (TAM), rather than treating implementation barriers as isolated factors. The study therefore contributes an integrated perspective showing that successful automation depends not only on the availability of digital systems, but also on users' perceptions, institutional readiness, and the wider procurement environment. The study concludes that investment in infrastructure, regulatory support, capacity development, and change management is required to realise the full benefits of automated tendering.