Understanding the online consumer: A typology of online relational norms and behavior

By C. Mathwick. 2002

341 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/09b6d552a91a7b4e53d74c3aea879e9998dbbe30

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Citations in the corpus

Relationship Between Customer Satisfaction and Loyalty on the Internet (2011, methodology): “The scale has been adapted and extended to accommodate the context to which it is going to be applied in this study, drawing on the contributions from Bhattacherjee (2001), Keiningham et al. (2007), Lee and Overby (2004), Mathwick (2002) , Methlie and Nysveen (1999) and Srinivasan et al. (2002) (se”
Measuring Service Quality in E-Retailing (2006, methodology): “Last, the satisfaction and behavioral intention scales were adapted from the Tax, Brown, and Chandrashekaran (1998) and Mathwick (2002) research studies.”
Effect of image interactivity technology on consumer responses toward the online retailer (2005, background): “…such as community building and three-dimensional virtual experiences, have been embraced by online marketers to entice the consumer to visit the site, purchase online, and be satisfied enough to become a repeat visitor/customer (Gehrke & Turban, 1999; Li, Daugherty, & Biocca, 2001; Mathwick, 2002).”
For fun and profit: Hedonic value from image interactivity and responses toward an online store (2005, background): “…upon Web-site interactivity, such as community building and 3D virtual experiences, have been embraced by on-line marketers to entice the consumer to visit the site, purchase on-line, and be satisfied enough to become a repeat visitor/customer (Li, Daugherty, & Biocca, 2001; Mathwick, 2002).”
Understanding Knowledge Sharing in Online Travel Communities (2014, background): “This is to ensure that the sample is representative of the larger community of online members (Mathwick, 2002; Qu & Lee, 2011; Ridings et al., 2002).”
The value of participation in virtual consumer communities on brand loyalty (2006, background): “Therefore, participation in a virtual community may only refer to the members’ posting behaviors (Mathwick, 2002).”
Building brand relationships online: A comparison of two interactive applications (2002, methodology): “For example, Mathwick (2002) recently presented a typology of four “online relationship orienta-tions” based on cluster analysis of various relationship motives.”
Web Acceptance Model (WAM): Moderating effects of user experience (2007, methodology): “Therefore, a Likert-type scale was constructed, composed of three items from Bhattacherjee [4] and Mathwick [45].”
WEB-BASED SHOPPING: CONSUMERS' ATTITUDES TOWARDS ONLINE SHOPPING IN NEW ZEALAND (2005, methodology): “This implies that a large percentage of the sample cluster is in Auckland, and indicates that a representative sample of the different online buyers’ groups can be found there.”
Overcoming Mass Confusion: Collaborative Customer Co-Design in Online Communities (2005, methodology): “Accordingly, Dyson (1997: 47) defines a community “ as the unit in which people live, work and play ” (for a discussion of the definition see, e.g. Hagel & Armstrong, 1997; Mathwick, 2002; Porter, 2004; Preece, 2000; Schubert, 1999).”
Virtual communities: A marketing perspective (2009, background): “Thus, we have drawn a series of ten randomly selected sub-samples (each 20% of the entire sample) that we have analyzed separately [15,56].”
Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites (2006, background): “consumer reviews on the product page is a part of the broader personalized virtual community support a website provides and is a critical point of contact for consumers interested in the same product (Mathwick 2002).”