On Product Uncertainty in Online Markets: Theory and Evidence

By Angelika Dimoka, Yili Kevin Hong, Paul A. Pavlou. MIS Q., 2012

688 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/b1aaa1d4e2b9bd46fa0c2714f76ab61004f2e9c1

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In Information Systems

In Management Science and Operations Research

In Marketing

Citations in the corpus

The impact of live video streaming on online purchase intention (2020, background): “, 2012; Weathers, Sharma, & Wood, 2007), while product quality may be lower than promised, product delivery delayed, and the wrong product delivered (Dimoka et al., 2012; Pavlou et al., 2007).”
Stimulating Online Reviews by Combining Financial Incentives and Social Norms (2017, background): “Although subject to certain biases (Luca 2016), online reviews are particularly important in online markets, which are characterized by a great deal of information asymmetry (Dimoka et al. 2012).”
Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents (2014, positive): “Internet-Enabled Systems Extending the literature on how IT systems, such as diagnostic websites (Jiang and Benbasat 2007), third party certiﬁcations (Dimoka et al. 2012), and digital videos (Kim and Krishnan 2013), help reduce product uncertainty, we posit that Internet-enabled systems provide an…”
Creating Effective Online Customer Experiences (2018, methodology): “We leverage our multidimensional online framework of the online customer experience to investigate how these two primary sources of uncertainty determine the effects of each experience dimension on purchase (Dimoka, Hong, and Pavlou 2012).”
The Role of Perceived Quality Risk in Pricing Remanufactured Products (2017, background): “In general, recent works have shown that used products appear to generate complex perceived quality concerns beyond those related to new products (Dimoka et al. 2012).”