Electronic Reverse Auctions: Spawning Procurement Innovation in the Context of Arab Culture

Government e-procurement initiatives have the potential to transform local institutions, but few studies have been published of strategies for implementing specific e-procurement tools, particularly involving procurement by a foreign government adapting to local culture in the Middle East/North Africa (MENA). This case describes procurement at a forward operating base (FOB) in Kuwait in support of operations in Iraq. The government procurers had to deal with a phenomenon unique to the MENA region: wasta. Wasta is a form of social capital that bestows power, influence, and connection to those who possess it, similar to guanxi in China. This study explores the value proposition and limitations of electronic reverse auctions (eRA) with the purpose of sharing best practices and lessons learned for government procurement in a MENA country. The public value framework provides valuable theoretical insights for the implementation of a new government e-procurement tool in a foreign country. In a culture dominated by wasta, the suppliers enjoyed the transparency and merit-based virtues of eRA’s that transferred successfully into the new cultural milieu: potential to increase transparency, competition, efficiency, and taxpayer savings. The practices provided herein are designed specifically to help buyers overcome structural barriers including training, organizational inertia, and a lack of eRA policy and guidance while implementing a new e-procurement tool in a foreign country

Empirical analyses of online procurement auctions - business value, bidding behavior, learning and incumbent effect

While there is an ever increasing adoption of e-sourcing, where a buyer auctions off procurement contracts to a small group of pre-qualified suppliers, there is a lack of understanding of the impact of dynamic bidding process on procurement outcomes and bidding behavior. To extend the knowledge of this important issue, in this thesis, we explore empirically the value of online procurement auction on cost reduction, quality management, and winner selection from the buyer's perspective. We also explore how incumbent status affects the procurement outcomes. From suppliers' perspective, we characterize their bidding behavior and examine the effect of incumbent status on bidding. First, we collect detailed auction and contract awarding data for manufacturing goods during 2002-2004 from a large buyer in the high-tech industry. The rich data set enables us to apply statistical model based cluster technique to uncover heterogeneous bidding behavior of industry participants. The distribution of the bidding patterns varies between incumbent and non-incumbent suppliers. We also find that the buyer bias towards the incumbent suppliers by awarding them procurement contracts more often and with a price premium. Next, focusing on recurring auctions, we find that suppliers bid adaptively. The adaptive bidding is affected by the rank of suppliers' final bids. Finally, with field data of procurement auction for legal services, we demonstrate that service prices are on average reduced after dynamic bidding events. Most interestingly, the cost savings are achieved without the sacrifice of quality. Incumbent winners' quality is higher, on average, than the quality of buyer's supplier base before the auctions, while non-incumbent winner's quality is lower. These findings imply that the main value of online procurement auctions for business services comes from incumbents in the form of reduced price and enhanced quality. We find that after adjusting for incumbents' higher quality, incumbent bias disappears. Our results also imply that the buyer might possess important information about the incumbents, through past experiences, that cannot be easily included in the buyer's scoring function due to uncodifiability.Ph.D.Committee Chair: Wu, D.J.; Committee Member: Keskinocak, Pinar; Committee Member: Narasimhan, Sridhar; Committee Member: Toktay, Beril; Committee Member: Zhang, Ha

Multi-period supplier selection under price uncertainty

Cataloged from PDF version of article.We consider a problem faced by a procurement manager who needs to purchase a large volume of multiple items over multiple periods from multiple suppliers that provide base prices and discounts. Discounts are contingent on meeting various conditions on total volume or spend, and some are tied to future realizations of random events that can be mutually verified. We formulate a scenario-based multi-stage stochastic optimization model that allows us to consider random events such as a drop in price because of the most favoured customer clauses, a price change in the spot market or a new discount offer. We propose certainty-equivalent heuristics and evaluate the regret of using them. We use our model for three bidding events of a large manufacturing company. The results show that considering most favored customer clauses in supplier offers may create substantial savings that may surpass the savings from regular discount offers

An Empirical Exploration of Multi-Attribute Bidding: Redefining Intermediary Roles in Electronic Markets

The vast majority of electronic markets have been based purely on a single variable (price) as the factor that determines ‘the winner’. Multi-attribute auctions are likely to be more appropriate for procurement scenarios where factors other than price need to be considered in determining the outcome. Nevertheless, there is a scarcity of empirical research on multi-attribute electronic auctions. In particular, there is little empirical evidence of how multi-attribute auctions fit with our theoretical conceptualisation of electronic markets. This paper uses the market design aspects of multi-attribute auctions to explore a multivariable electronic auction, using frameworks from electronic market process design and systematic sourcing. Evidence from the case study illustrates that multi-variable electronic auctions can be used to procure a wider range of operating and manufacturing input that has been considered possible with traditional, price only, auctions. The findings reveal how the use of an electronic auction intermediary creates a middle ground of interaction between spot and systematic sourcing, by automating for the buyer certain general parameters and trade context processes

Online reverse auctions research in marketing versus SCM: A review and future directions

An online reverse auction (ORA) is a dynamic procurement mechanism that allows suppliers to compete in real time via a platform to gain a buyer’s business. The ORA is a technological tool introduced in the late 1990s, gaining proponents and detractors among practitioners and academics. Remarkably, while practitioner interestin ORAs has grown, related marketing and supply chain management (SCM) research has declined. This contradiction between theory and practice suggests the need to conduct a systematic review to provide readers with a state-of-the-art understanding of ORAs and recommend fruitful avenues for further research. We focus on the marketing literature and contrast the findings with SCM literature, in such an analysis practical relevance is stressed. Our study offers three main contributions: (1) integration of the cumulative marketing knowledge on ORAs in the 2002–2020 period, (2) development of a three-layer framework of the ORA domain (i.e., conceptualization, ORA as a process, and research setting), and (3) construction of a new research agenda to deal with scholarly challenges and emerging trends.Xunta de Galicia | Ref. GPC ED431B 2022/10Universidade de Vigo/CISU

Can Contracts Replace Qualification in a Sourcing Process With Competitive Suppliers and Imperfect Information?

This paper considers a manufacturer who outsources the production of a product to multiple competing suppliers, who differ in their cost structures and in their capabilities for producing high-quality products. The manufacturer must design the sourcing process to ensure that the selected supplier has sufficient quality capability, while encouraging competition among the suppliers. We develop and analyze a mathematical model of performance-based contracting, a sourcing method that is appropriate when the manufacturer has imperfect information regarding the suppliers’ costs and capabilities. We compare the performance of performance-based contracting with that of a two-stage sourcing process, an alternative sourcing method that is more commonly used in practice. The theoretical results and managerial insights derived from this research can enable manufacturing firms to improve the management of their sourcing processes. In particular, we demonstrate that performance-based contracting with a symmetric linear penalty/reward function will always outperform the two-stage sourcing process from the perspective of the buyer and that the optimal penalty/reward rate is less than or equal to the unit warranty cost. In addition, performance-based contracting generally leads to a higher quality level provided by the winning supplier. However, the winning supplier is generally better off under the two-stage sourcing process

Combinatorial auctions in practice

We survey the uses of combinatorial auctions that have been deployed in practice, giving emphasis to their key representational and economic aspects. In addition, we discuss behavioral economics considerations on both the bidder and auctioneer sides of the market, and the interrelated topics of simplicity and trust, highlighting key opportunities for future work