Product-Related Deception in E-Commerce: A Theoretical Perspective

Xiao, Bo; Benbasat, Izak

doi:10.2307/23043494

Cited by 190 publications

(147 citation statements)

References 97 publications

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“…While extensive literature addresses the benefits of information-sharing between businesses, such as the potential generation of additional relational rents [49], limited research is devoted to uncovering means to safeguard against falsification, concealment, and equivocation in these systems [76]. Some deception is tolerated in business interaction, yet severe deception negatively affects performance and increases management costs [22].…”

Section: Discussionmentioning

confidence: 99%

“…Matsumoto and Hwang [54] highlight that these mixed findings stem primarily from an exclusive focus on monologues or comparative writing, rather than conversations as they occur in real, interactive exchanges. Extending prior classifications of deception, Xiao and Benbasat [76] also query the lack of insight into deception in interorganizational CMC, and DePaulo et al [26] observe that deception studies have been conducted almost exclusively in university laboratories. As Miller and Stiff [58] caution, experiment participants have little motivation to get away with their lie, minimal actual interaction with other participants, and an artificially high degree of self-consciousness.…”

Section: Toward a Multilevel Framework Of Deception In Cmcmentioning

confidence: 99%

“…In accordance with recent conceptualizations of deception in information systems research [76] and drawing on Buller and Burgoon [14], we asked the account managers to investigate and evaluate all reward requests in the sample. Prior to the observation period, during which five managers investigated all reward requests, they were briefed that the study was intended to uncover linguistic elements that would relate to deceitful reward requests.…”

Section: Dependent Variablementioning

confidence: 99%

See 2 more Smart Citations

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Ludwig

Laer

Ruyter

et al. 2016

Journal of Management Information Systems

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Safeguarding organizations against opportunism and severe deception in computer-mediated communication (CMC) presents a major challenge to chief information officers and information technology managers. New insights into linguistic cues of deception derive from the speech acts innate to CMC. Applying automated text analysis to archival e-mail exchanges in a CMC system as part of a reward program, we assess the ability of word use (micro level), message development (macro level), and intertextual exchange cues (meta level) to detect severe deception by business partners. We empirically assess the predictive ability of our framework using an ordinal multilevel regression model. Results indicate that deceivers minimize the use of referencing and self-deprecation but include more superfluous descriptions and flattery. Deceitful channel partners also overstructure their arguments and rapidly mimic the linguistic style of the account manager across dyadic e-mail exchanges. Thanks to its diagnostic value, the proposed framework can support firms’ decision making and guide compliance monitoring system development

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Section: Discussionmentioning

confidence: 99%

Section: Toward a Multilevel Framework Of Deception In Cmcmentioning

confidence: 99%

Section: Dependent Variablementioning

confidence: 99%

See 1 more Smart Citation

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Ludwig

Laer

Ruyter

et al. 2016

Journal of Management Information Systems

View full text Add to dashboard Cite

show abstract

“…Three types of ID had been classified as concealment, equivocation, and falsification [8]. Website could intentionally conceal the negative information, provide vague information about cost or about complaining process, and provide the false information as imaginary positive stories of products [10]. When ID had been detected by consumers, ID could increase the perceived risk of transaction and distrust of sellers [8,11,12], and then it could form the unfavorable attitude and could decrease purchase intention [8,[12][13][14].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The Effect of Information Deception in Price Comparison Site on the Consumer Reactions: An Empirical Verification

Lee

2015

International Journal of Distributed Sensor Networks

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Challenges in the ubiquitous networks deployment are to guarantee the information transparency in the distributed systems. In particular in online market, studies warned that information deception by online sellers and by price comparison site could be fatal in the success of e-marketplace. However, handful of studies had conducted this issue and the findings are still mixed and ambiguous. I challenged to empirically validate the impact of information deception by the price comparison site on the consumer behavioural intentions. I developed the research model based on the literature of information transparency, information deception, institution-based trust, psychological contract violation, and consumer reactions. I conducted the quasi-experiment in two types of price comparison sites. The results of this study had successfully captured the existence and impact of information deception, could contribute to providing more rigorous evidence for the theory, expand the consumer protection research area in IS filed, and suggest the need for the neutral price comparison site for the success of e-marketplace to the regulatory party.

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“…its low entry barriers, spatial/temporal separation, and anonymity) facilitate deceptive acts, such acts have largely been examined in the context of e-commerce (Pavlou & Gefen, 2005;Xiao & Benbasat, 2011). Nonetheless, recent studies have also started to examine deceptive acts within group decision support system (GDSS) settings.…”

mentioning

confidence: 99%

Manipulative Imputation in Distributed Decision Support Settings: The Implications of Information Asymmetry and Aggregation Complexity

Malekovic¹,

Sutanto

Goutas

2016

Decision Support Systems

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According to earlier research, distributed decision support structures are susceptible to deception. We complement the existing works by analyzing group members' attempts to manipulate group decisions supported by distributed communications. Experimentally, we manipulated two systemic features of a distributed support structure: the members' information asymmetry and decision rule complexity. Both of these features refer to structural properties of aggregated information exchange. We confirmed several hypothesized effects: An increase in the information asymmetry in the aggregation of information increases the incidence of the members' manipulative tendency. It also increases the effectiveness of the members' manipulative imputations. However, the complexity of a decision rule negatively moderates both of these effects. We point out the theoretical relevance and managerial implications of our findings. We conclude that managing team members' information asymmetry and complexity of issues under their practical consideration may result in valuable disclosures.

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Product-Related Deception in E-Commerce: A Theoretical Perspective

Cited by 190 publications

References 97 publications

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

The Effect of Information Deception in Price Comparison Site on the Consumer Reactions: An Empirical Verification

Manipulative Imputation in Distributed Decision Support Settings: The Implications of Information Asymmetry and Aggregation Complexity

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