Perceived risk: an experimental investigation of consumer behavior when buying wine

2016 ◽  
Vol 15 (6) ◽  
pp. 549-559 ◽  
Author(s):  
J. François Outreville ◽  
Jean Desrochers
2011 ◽  
Vol 6 (2) ◽  
pp. 104 ◽  
Author(s):  
James R. Lumpkin ◽  
Mark G. Dunn

Perceived risk as an influence on consumer behavior has been well documented. Despite the popularity of the topic, only a few studies have examined the risks consumers perceive when selecting a retail patronage mode. The study uses Bettmans concept of inherent/handled risk to isolate the risk attributable to specific retail patronage modes. The results indicate varying amounts of handled risk are associated with purchasing products from different retail m odes. The study also provides evidence that risk attributable to a specific retail mode tends to differ among product categories.


TRIKONOMIKA ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 90-96
Author(s):  
Dewi Indriani Jusuf ◽  
Dadang Munandar

The goal of the research is to know the effect of the consumer behavior and perceived risk on, the consumers’ buying decision. This research employs a quantitative approach, descriptive and verified design. As much as 100 consumers are selected as respondents using a purposive method. The instrument of data collection is questionnaire. The data analysis used is Structural Equation Modeling. The research results show that the consumer behavior and perceived risk affects the consumer buying decision significantly. The biggest effect of the consumer behavior dimension on the buying decision variable is a personal factor and the biggest effect of the consumer behavior variable is on payment method dimension. The perceived risk contributes to the consumer buying decision significantly. It also proves that that the emerging of the online shops contributes shifting of the consumer behavior from a conventional business transaction into a digital one among the consumers.


Author(s):  
Hao Weng ◽  
Yiqi Hu ◽  
Zhen Li ◽  
Yichu Sun ◽  
Min Chung Han

The post-’90s generation is made up of those born between 1990 and 1999 in China; it is also the generation that is driving e-commerce in China. To attract these post-’90s consumers, online retailers have adopted recommender systems based on previous purchases and personal preferences. However, current Chinese online retailers do not typically consider the purchasing histories of their neighbors, although those neighbors have been proven to influence consumer behavior intention in several fields of study. Thus, this study investigates neighbors’ influences on Chinese consumer behavior in online shopping. In particular, this study examines the relationship between neighbors’ purchase histories and consumers’ purchase decisions among Chinese post-’90s consumers. Furthermore, this research seeks to determine whether neighbors’ purchasing history has an influence on consumer perceptions (e.g., perceived enjoyment, perceived risk) and whether perceived enjoyment and perceived risk have influences on purchasing intention.


Author(s):  
Chou, Hsiu-Yueh ◽  
Chen, Fei-Chuan

The purpose of this study is to analyze the characteristics of consumer behavior, and the relationship among purchase motivation, perceived risk, and behavioral intention. In this study, 594 valid questionnaires were collected from consumers who bought sports goods online. After statistical analysis, this study found that: 1. Sports shoes are the main products consumers buy online. 2. There is no difference in purchase motivation, perceived risk, and behavioral intention between genders.3. Consumers of different ages have different purchase motives and perceived risks. 4. Consumer purchase motivation and perceived risk have predictive effect on behavioral intention.


2015 ◽  
Vol 10 (8) ◽  
pp. 2445-2452
Author(s):  
Shabnam Narula ◽  
MRS. SHABNAM GULATI ◽  
Mr. DUSHANT NARULA

Online shopping in India is an emerging trend for marketers to promote their merchandise in wide geographical area using internet. In 2012, E-Commerce revenue was US$ 1.6 billion but it is expected to be US$ 8.8 billion by 2016.It speaks about the success of e-commerce. Trust is an important dimension in the success of online shopping. The present study focuses on critical review of consumer behavior towards online shopping through extensive literature survey. The finding reveals that knowledge, privacy, security, perceived risk and perceived benefits are very important factors for the consumer’s behavior towards online shopping. Winning trust is the primary condition for enduring success in e- commerce. Finally, some useful implications have been offered to the marketers at the end.


2020 ◽  
Vol 9 (1) ◽  
pp. 77-91 ◽  
Author(s):  
Anjali Chopra ◽  
Vrushali Avhad ◽  
and Sonali Jaju

Recent marketing trends indicate the rise of influencers as an extension of word of mouth campaigns. As consumers turn to social media platforms, organizations are realizing the power of influencers in affecting a purchase decision. The current study throws light on various aspects of influencer marketing that drive consumer behavior by using the theory of planned behavior (henceforth referred to as TPB) ( Ajzen, 1991 ) and social learning theory by Bandura and Walters (1963) as part of the qualitative research to identify key factors of influencer marketing that impact consumer behavior. The study revealed that both attitude toward influencers and perceived behavior control that allows increase in domain knowledge had a favorable impact on consumer behavior while the influence of peers had no effect. Further additional constructs namely personal relevance, inspiration, and trust had a positive impact on behavior while perceived risk did not have any effect. Product influencer fitment was an important criterion for consumers, as they followed the specific type of influencers for different product categories. Depending on the posts shared by influencers, consumers are impacted at four levels: increase in brand awareness, subject matter expertise, brand preference, and preference. Successful influencer marketing involves identifying the right type of influencer who will offer curated advice, stories, and suggestions to create engagement with the audience.


1974 ◽  
Vol 1 (2) ◽  
pp. 52 ◽  
Author(s):  
Raymond C. Battalio ◽  
Edwin B. Fisher, Jr. ◽  
John H. Kagel ◽  
Robert L. Basmann ◽  
Robin C. Winkler ◽  
...  

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