Agent-mediated electronic commerce: a survey

Guttman, Robert H.; Moukas, Alexandros; Maes, Pattie

doi:10.1017/s0269888998002082

Cited by 483 publications

(201 citation statements)

References 40 publications

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“…Guttman et al [7] identify six stages of customer purchasing behaviour: need identification, product brokering, merchant brokering, negotiation, purchase and delivery, and service and evaluation. O'Keefe and McEachern [14] propose a model with only five processes: need recognition, information search, evaluation, purchase, and after-purchase evaluation.…”

Section: Analysis Of the E-commerce Purchasing Experiencementioning

confidence: 99%

A Mechanism for Evaluating Feedback of E-Commerce Sites

Renaud

Kotzé

Dyk

2002

Towards the E-Society

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Abstract:The developers of e-commerce applications have a problem in gauging the knowledge and expertise of end-users. The developer must therefore design the interface to the system so that the use thereof is sufficiently intuitive to require the minimum of background knowledge. Developers need to enhance the usability of their web sites so that incidental users will find the site rewarding and enticing, and encourage them to explore further. This paper will explore the role of feedback as a valuable tool in enhancing the interpretability of e-commerce applications. We discuss firstly how applications may be designed to make use of an enriched model of application feedback, and secondly how developers may evaluate their sites so as to gauge the efficacy of the currently provided feedback. We propose a novel method for analysing the purchasing phase of the e-commerce experience. We then introduce an evaluation method for determining whether a particular site provides adequate feedback or not. Three sites were evaluated using the proposed model, and the results of this evaluation are analysed.

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Section: Analysis Of the E-commerce Purchasing Experiencementioning

confidence: 99%

A Mechanism for Evaluating Feedback of E-Commerce Sites

Renaud

Kotzé

Dyk

2002

Towards the E-Society

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“…Domains for such applications include search and rescue [5], disaster response [12], military applications [1] and commerce [3]. Researchers envision automating the allocation of shared resources using algorithms such as distributed constraint optimization algorithms (DCOPs) [7].…”

Section: Introductionmentioning

confidence: 99%

Effect of Human Biases on Human-Agent Teams

Paruchuri

Varakantham

Sycara

et al. 2010

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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Abstract-As human-agent teams get increasingly deployed in the real-world, agent designers need to take into account that humans and agents have different abilities to specify preferences. In this paper, we focus on how human biases in specifying preferences for resources impacts the performance of large, heterogeneous teams. In particular, we model the inclination of humans to simplify their preference functions and to exaggerate their utility for desired resources, and show the effect of these biases on the team performance. We demonstrate this on two different problems, which are representative of many resource allocation problems addressed in literature. In both these problems, the agents and humans optimize their constraints in a distributed manner. This paper makes two key contributions: (a) Proves theoretical properties of the algorithm used (named DSA) for solving distributed constraint optimization problems, which ensures robustness against human biases; and (b) Empirically illustrates that the effect of human biases on team performance for different problem settings and for varying team sizes is not significant. Both our theoretical and empirical studies support the fact that the solutions provided by DSA for mid to large sized teams are very robust to the common types of human biases.

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“…Even though this kind of business is more and more popular, the risk of failing or not being effective is not negligible. Several researchers believe that a smart generation of e-commerce would reduce these risks by integrating market-based techniques within agent technology (see [14], [4] for good examples). Automated agents can follow more efficient and more flexible specific strategies, and can evaluate and optimise the utility of specific actions (such as bidding, offering, etc.).…”

Section: Introductionmentioning

confidence: 99%

Market-Skilled Agents for Automating the Bandwidth Commerce

Calisti

Faltings

Mazziotta

2000

Trends in Distributed Systems: Towards a Universal Service Market

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Abstract. In the current deregulated Telecom scenario the number of network operators and service providers is rapidly increasing. The resulting competition generates the need for a flexible resource management. In parallel, the fast growth of electronic commerce opens a new market where operators can offer network bandwidth commodities. In this dynamic context, the traditional architecture of Telecom networks needs to be evolved. The integration of economic principles with software technology is a strategic contribution to this evolution. In particular, market-skilled software agents seem to be one of the most promising paradigms. In this paper we describe an agent-based system for the e-commerce of "IP bandwidth", and we discuss how the integration of this system within a network management platform would automate the advertisement of Telecom goods, the monitoring of market trends, the pricing and the configuration of network resources.

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Agent-mediated electronic commerce: a survey

Cited by 483 publications

References 40 publications

A Mechanism for Evaluating Feedback of E-Commerce Sites

A Mechanism for Evaluating Feedback of E-Commerce Sites

Effect of Human Biases on Human-Agent Teams

Market-Skilled Agents for Automating the Bandwidth Commerce

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