The economics and psychology of consumer trust in intermediaries in electronic markets: the EM-Trust Framework

Datta, Pratim; Chatterjee, Sutirtha

doi:10.1057/palgrave.ejis.3000729

Cited by 52 publications

(48 citation statements)

References 74 publications

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“…The importance of trust for technology acceptance has been shown in numerous studies throughout the information systems (IS) discipline (e.g., Gefen et al, 2003b;van der Heijden et al, 2003;Pavlou & Gefen, 2004;Wang & Benbasat, 2005;Connolly & Bannister, 2007;Datta & Chatterjee, 2008). The reason for this importance can be found in the value of trust as a mechanism to reduce social and technical complexity (Luhmann, 1979;Gefen, 2000;Lee & See, 2004).…”

Section: Introductionmentioning

confidence: 99%

Why different trust relationships matter for information systems users

Söllner

Hoffmann

Leimeister

2016

European Journal of Information Systems

122

105

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Technology acceptance research has shown that trust is an important factor fostering use of information systems (IS). As a result, numerous IS researchers have studied factors that build trust in IS. However, IS research on trust has mainly focused on the trust relationship between the user and the IS itself, largely neglecting that other targets of trust might also drive IS use from a user's point of view. Accordingly, we investigate the importance of different targets of trust in IS use. Therefore, we use the concept of a network of trust and identify four different targets of trust that are prevalent from a user's point of view. Afterwards, we develop our research model and evaluate it using a free simulation experiment. The results show that multiple targets of trust are important in the context of IS use. In particular, we highlight the importance of a second target -trust in the provider -which is equally important as trust in the IS itself. Consequently, IS providers should focus not only on fostering users' trust in their IS but also on positioning themselves as trustworthy providers. In addition, we show that a third target -trust in the Internet -has significant indirect effects on multiple constructs that impact IS use.

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Section: Introductionmentioning

confidence: 99%

Why different trust relationships matter for information systems users

Söllner

Hoffmann

Leimeister

2016

European Journal of Information Systems

122

105

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“…These new Internet intermediaries are called electronic brokerages (E-brokerages), also named electronic intermediaries (McIvor & Humphreys, 2004) or cybermediaries (Caillaud & Jullien, 2001;Sarkar, Butler, & Steinfield, 1998). With the use of information communication technology (ICT), E-brokerages can facilitate exchanges between buyers (consumers) and sellers (producers) by meeting the needs of both buyers and sellers (Datta & Chatterjee, 2008;Giaglis, Stefan, & OKeefe, 2002;Sarkar, Butler, & Steinfield, 1995). Compared with traditional brokerages, E-brokerages have the advantage of not being bound by time and space constraints and the advantage of being able to provide more real-time and effective information for commodity exchanges.…”

Section: Introductionmentioning

confidence: 96%

Multi-objective optimization matching for one-shot multi-attribute exchanges with quantity discounts in E-brokerage

Jiang

Lau

et al. 2011

Expert Systems with Applications

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“…Electronic brokerages (E-brokerages), are Internet-based organizations that enable buyers and sellers to conduct business over the Internet (Datta and Chatterjee 2008). In the E-brokerage, one-shot multi-attribute exchanges are regarded as a primary type of exchanges, since they often enjoy liquidity and efficiency advantages over other multiattribute exchanges (Economides and Schwartz 1995).…”

Section: Introductionmentioning

confidence: 99%

A fuzzy matching model with Hurwicz criteria for one-shot multi-attribute exchanges in E-brokerage

Jiang

Zhang

Fan

et al. 2014

Fuzzy Optim Decis Making

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The trade determination problem is an important decision problem for multi-attribute exchanges in E-brokerages. As of now, some studies have focused on this issue. However, theories and guidelines for the trade determination problem under fuzzy environments are still sparse. In this paper, taking into account the fuzzy information involved in one-shot multi-attribute exchanges, a new fuzzy matching model is proposed for the trade determination problem. In the model, we present a novel calculation method of the matching degree based on the improved fuzzy information axiom as a baseline study. Also, the credibility measure and Hurwicz criterion are introduced to convert the model into a crisp one. Since the crisp model is a 0-1 integer programming problem, the commonly used branch and bound algorithm and related optimization techniques become applicable. Finally, an example is employed to illustrate the application and sensitivity analysis of the proposed model.

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The economics and psychology of consumer trust in intermediaries in electronic markets: the EM-Trust Framework

Cited by 52 publications

References 74 publications

Why different trust relationships matter for information systems users

Why different trust relationships matter for information systems users

Multi-objective optimization matching for one-shot multi-attribute exchanges with quantity discounts in E-brokerage

A fuzzy matching model with Hurwicz criteria for one-shot multi-attribute exchanges in E-brokerage

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