Consumers' perceived risk: sources versus consequences

By Nena Lim. Electronic Commerce Research and Applications, 2003

600 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2ca9f1a58a1888015961b390b981667f0ef622e6

How researchers see this paper

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

In Information Systems and Management

1. Anil Bilgihan
2. Hsin Hsin Chang
3. Su Wen Chen
4. A. Kimbu
5. Dan J Kim
6. Oliver Schilke
7. Hongxiu Li
8. Sangwon Park

In Organizational Behavior and Human Resource Management

1. Anil Bilgihan
2. Hsin Hsin Chang
3. Su Wen Chen
4. A. Kimbu
5. Dan J Kim
6. Oliver Schilke
7. Hongxiu Li
8. Sangwon Park

In Sociology and Political Science

1. Hsin Hsin Chang
2. Su Wen Chen
3. F. Dayour
4. A. Kimbu
5. Anil Bilgihan
6. Dan J Kim
7. Oliver Schilke
8. Hongxiu Li

Citations in the corpus

• Backpackers’ perceived risks towards smartphone usage and risk reduction strategies: A mixed methods study (2019, background): “Factors that influence PR have been identified not just within the general consumer literature but also, more specifically, within the ICT literature (Lim, 2003; Crespo, del Bosque and de los; Salmones, 2009; Chen, 2013).”
• Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017, background): “Trust predicts perceived risk, trust and 290 risk together predict other variables such as attitude and behavioral intention, risk predicts trust, 291 or perceived risk moderates the relationship between trust and behavior intention (Lim, 2003). 292 The current study focuses on the effect of trust o”
• Assessing the effects of consumers' product evaluations and trust on repurchase intention in e-commerce environments (2018, background): “Consumers are more often motivated to avoid uncertainty than to maximize utility in purchasing (Lim, 2003).”
• Understanding consumer acceptance of mobile payment services: An empirical analysis (2010, background): “As such, the perceived risk associated with a product or service has gained significance in consumer research on innovations (Lim 2003; Mitchell 1999).”
• Understanding perceived risks in mobile payment acceptance (2015, background): “Perceived psychological risk refers to consumer’s perception of any possible psychological frustration, pressure, or anxiety resulting from the use of m-payment (Lim, 2003).”
• The importance of perceived trust, security and privacy in online trading systems (2009, background): “Thus, online consumers hesitate to disclose any personal or financial information to companies because they feel that these companies could make unauthorized use of it or divulge it to other organizations (Lim, 2003).”
• The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator (2008, background): “However, providing good web site quality may be not enough to motivate customers to adopt online shopping (Cho, 2004), since consumers dislike dealing with unknown vendors (Lim, 2003).”