The diagnostic role of signals in the context of perceived risks in online shopping: Do signals matter more on the Web?

By Dipayan Biswas, Abhijit Biswas. 2004

325 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/72c9a6cb37939e3d9cc510a9c0781eb588b9c462

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Sergio Román
2. J. Valacich
3. Traci J. Hess
4. John D. Wells
5. Wi-Suk Kwon
6. Michael D. Williams
7. Hannah R. Marriott

In Marketing

1. J. Valacich
2. John D. Wells
3. Sergio Román
4. Traci J. Hess
5. Wi-Suk Kwon
6. Michael D. Williams
7. Sharron J. Lennon
8. Hannah R. Marriott

Citations in the corpus

• An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012, result): “This finding is compatible with findings of the Forsythe and Shi (2003) and Biswas and Biswas (2004).”
• What Signals Are You Sending? How Website Quality Influences Perceptions of Product Quality and Purchase Intentions (2011, methodology): “, reputation, warranties, and advertising expense) influence trust and perceived risk with an online retailer (Aiken and Boush 2006; Biswas and Biswas 2004; Wang et al. 2004; Yen 2006).”
• Online servicescapes, trust, and purchase intentions (2010, unknown): “However, we recognize that such methods can generate fascinating insights into such issues – see Biswas and Biswas (2004) for a particularly noteworthy study).”
• The influence of prior experience and age on mature consumers' perceptions and intentions of internet apparel shopping (2010, background): “In addition, there exists time/convenience risk in online shopping due to the difficulties or delays that can be experienced during web site navigation, order submission, or waiting for the delivery ( Biswas and Biswas, 2004”
• What induces online loyalty? Online versus offline brand images (2009, background): “Perceived risk is higher in online versus in-store shopping conditions, and this difference is especially true for nondigital, physical goods such as apparel products that require high involvement (Biswas and Biswas, 2004; Pires et al., 2004).”
• Relational Consequences of Perceived Deception in Online Shopping: The Moderating Roles of Type of Product, Consumer’s Attitude Toward the Internet and Consumer’s Demographics (2010, background): “, 2008) and (2) are stronger relievers of perceived risks in online than in offline contexts (Biswas and Biswas, 2004). Interestingly, Grazioli and Jarvenpaa (2003) conducted a content analysis of 201 cases of Internet deception, which revealed that deceivers selected”
• The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts (2014, background): “Extant research has shown that consumers perceive more risks in online shopping as compared to the traditional retail environment (Biswas and Biswas 2004) and researchers have found that risk tolerance is a strong predictor of online shopping and repeat patronage (Brashear et al.”
• Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study (2005, background): “…and online trust varies across Web site categories, depending on the following underlying Web site factors: •Financial risk : This refers to the uncertainty of incurring monetary losses while interacting on a Web site (Betman 1973; Biswas and Biswas 2004; Grewal, Gotlieb, and Mar-morstein 1994).”
• Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “prominent in the online environment as transactions are remote, thus involving no face-to-face contact between consumers and retailers (Bezes, 2016; Biswas and Biswas, 2004; Cases, 2002; Eggert, 2006; Hubert et al., 2017).”
• The Differential Effects of Celebrity and Expert Endorsements on Consumer Risk Perceptions. The Role of Consumer Knowledge, Perceived Congruency, and Product Technology Orientation (2006, result): “This speculation is also supported by empirical findings of some current research streams that suggest that signals tend to influence respondents’ perceived financial risk more strongly than performance risk (Biswas and Biswas 2004).”
• Retailer Pricing and Competitive Effects (2009, unknown): “While consumers’ heightened perceived risks in online markets and their aversion to dealing with unknown sellers have resulted in the dominance of these well-known sellers, there are potentially other factors behind this phenomenon (Biswas and Biswas 2004).”