Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk
By Chao-Min Chiu, Eric T. G. Wang, Yu-Hui Fang, Hsin-Yi Huang. Information Systems Journal, 2014
1,348 citations recorded by the source corpus.
Subfields: Food Science, Marketing, Social Psychology
View Paper: https://www.semanticscholar.org/paper/68f1c83eecf9578c7aa580bd73fd0c3cf69e6d0d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Hs Chris Choi
- L. J. Liang
- Aron O'Cass
- Nripendra P. Rana
- Heikki Karjaluoto
- Yogesh Kumar Dwivedi
- Sajad Rezaei
- Marijn Janssen
In Marketing
- Heikki Karjaluoto
- Olli Tyrväinen
- Hannu Saarijärvi
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Dennis C. Ahrholdt
- Hs Chris Choi
- Anil Bilgihan
In Social Psychology
- Anil Bilgihan
- Victor R. Prybutok
- Nripendra P. Rana
- Banita Lal
- Heikki Karjaluoto
- Yogesh Kumar Dwivedi
- Marc Clement
- Chao Wen
Citations in the corpus
- The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective (2020, background): “Interestingly, in the emerging markets of Taiwan (Chiu et al. 2012) and India (Singh and Srivastava 2018; Thakur and Srivastava 2014) perceived risk has been found to have a negative impact on online purchase intention.”
- Assessing customers' perceived value of the online channel of multichannel retailers: A two country examination (2015, background): “, 2006), and (2) the level of involvement with the retailer to control for user heterogeneity (Chiu et al., 2014).”
- Understanding perceived risks in mobile payment acceptance (2015, background): “Chiu et al. (2014) also examined the moderating effects of perceived risk on the relation between perceived value and purchase intention based on prospect theory.”
- THE INFLUENCE OF UTILITARIAN VALUE, HEDONIC VALUE, SOCIAL VALUE, AND PERCEIVED RISK ON CUSTOMER SATISFACTION: SURVEY OF E-COMMERCE CUSTOMERS IN INDONESIA (2020, methodology): “Indicators that measure variables in this study adopted from previous research: utilitarian value (Chunmei & Weijun, 2017; Sweeney & Soutar, 2001; Chiu et al., 2012), hedonic value (Chunmei & Weijun, 2017; Arnold and Reynolds, 2003), social value (Chunmei & Weijun, 2017; Rintamäki et al., 2006;…”
- Consumer Heterogeneity, Perceived Value, and Repurchase Decision-Making in Online Shopping: The Role of Gender, Age, and Shopping Motives (2016, methodology): “In such a hierarchy, values can be considered as the final goals that motivate consumers to engage in shopping behavior, and benefits are the sub-goals that are subordinate to values [Chiu et al. 2014].”
- Exploring customers' responses to online service failure and recovery strategies during Covid‐19 pandemic: An actor–network theory perspective (2021, background): “…online purchasing, which physically separates customers from the product and supplier, creates worry regarding whether the quality and performance of the product will match the product description advertised online, and the possibility of late or failed deliveries (Chiu et al., 2014; Glik, 2007).”
- Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “, 2012; Liu and Forsythe, 2010) and created a competitive business landscape that provides opportunities, threats and challenges (Lee et al., 2011; Chiu et al., 2012; Hong and Cho, 2011).”
- The effect of website features in online relationship marketing: A case of online hotel booking (2015, background): “Specifically, consumer purchasing decisions are usually based on the appearance and website design elements including pictures, virtual tours, graphics, quality information, and video clips of the product (e.g., Chiu et al. 2014, Hong et al. 2004, Kolesar and Galbraith 2000).”
- Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail (2020, methodology): “RPI is widely used as a behavioral outcome in retail studies (Bilgihan, 2016; Chiu et al., 2014; Rose et al., 2012; Verhagen and van Dolen, 2009).”