User acceptance of complex electronic market mechanisms: Role of information feedback
Abstract
This paper broadens the scope of evaluating the design of economic mechanisms that is traditionally done solely from an economic perspective. We introduce and demonstrate the application of acceptability to evaluate complex economic mechanisms. In particular, we apply our approach to the evaluation of continuous combinatorial auctions, which represent a complex, sophisticated market mechanism that has not been generally available in the online marketplace but has the potential to enhance the economic efficiency of trade for assets with interdependent values. Such auctions are being increasingly used in industry, e.g., to procure logistical services. Intuitively, acceptance and usage of a complex mechanism can be fostered by a design that provides information and tools that meet the users’ task demands. Based on prior research and an analysis of the auction tasks, we discuss practical and innovative information feedback schemes for reducing the cognitive burden of formulating bids in combinatorial auctions. Then, we use constructs from the technology acceptance model (TAM) – which have been consistently shown to be key determinants of technology acceptance in the extant literature – to compare the acceptability of the mechanism under three different information regimes. In addition, we borrow constructs from marketing theory to assess the potential growth in adoption of the mechanism. We compare user perceptions of the three alternative designs in a laboratory experiment with…
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Adomavicius et al. (2013) apply the TAM for evaluating decision aids for an economic mechanism in combinatorial auctions, but their test subjects are students rather than actual e-procurement users.
“Adomavicius et al. (2013) apply the TAM for evaluating decision aids for an economic mechanism in combinatorial auctions, but while their study is at the individual level, the test subjects are students rather than actual e-procurement users.”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Adomavicius et al. (2013)
System characteristics have a significant impact on individuals' perceptions of system usefulness and ease of use.
“Overall these results are in line with Adomavicius et al. (2013) who find that system characteristics have a significant impact on individual's perceptions of system usefulness and ease of use.”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Adomavicius et al. (2013)
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“Our general approach follows the design science paradigm of Hevner et al. (2004).”
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“The cognitive fit literature asserts that problem solving works best when the available tools support the processes required to perform a task (Vessey 1991; Vessey and Galletta 1991).”
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Morgan, N. A., & Rego, L. L. (2006) · Marketing Science · doi:10.1287/mksc.1050.0180 · Cited by 505 · cited 4× · see citing works
“In tandem with TAM, we also draw from marketing theory (Keiningham et al. 2007; Morgan and Rego 2006) to address the adoption growth potential of the mechanism.”
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Examining the antecedents of the technology acceptance model within e-procurement
Brandon-Jones, A., & Kauppi, K. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-06-2015-0346 · Cited by 181 · see citing works
- Authors
- Adomavicius, G., Curley, S. P., Gupta, A., & Sanyal, P.
- Affiliations
- University of Minnesota (US)
- George Mason University (US)
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2013-08-06
- Volume
- 31
- Issue
- 6
- Pages
- 489-503
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2075037291
- Cited by
- 16
- References
- 7
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 2
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Operations Management (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- user acceptance, information feedback, technology acceptance model, mechanism design, technology adoption, online marketplaces
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