Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model
By Paul A. Pavlou. International Journal of Electronic Commerce, 2003
6,176 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/d4903a683c7b60a27a0c19c28d0a7774eb9dd373
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
- Tao Zhou
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Izak Benbasat
- Ali Abdallah Alalwan
- Milena M. Head
- V. Venkatesh
- Michael D. Williams
In Organizational Behavior and Human Resource Management
- Tao Zhou
- Izak Benbasat
- Milena M. Head
- Dianne Cyr
- Paul A. Pavlou
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Lemuria D. Carter
In Sociology and Political Science
- Tao Zhou
- Yogesh Kumar Dwivedi
- Izak Benbasat
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Milena M. Head
- Paul A. Pavlou
- V. Venkatesh
Citations in the corpus
- Consumer trust in e-commerce in the United States, Singapore and China (2007, background): “Other research has proposed a typology of trust types [10], developed a measurement scale for trust [11], emphasized the importance of system trust in business-toconsumer transactions [12], proposed trust model [13–15], integrated trust with the technology acceptance model [16,17], examined antecede”
- Web Acceptance Model (WAM): Moderating effects of user experience (2007, neutral): “[18] and Pavlou [48].”
- Extending the Technology Acceptance Model to assess automation (2011, background): “Trust has not received as much attention by the IS community but is considered an important influence in the use of electronic information systems and e-commerce (e.g., Gefen et al. 2003; Carter and Bélanger 2005; Pavlou 2003).”
- The roles of habit and web site quality in e-commerce (2006, background): “In online shopping, the consumers' decision-making process requires the scanning, filtering, collection, integration and comparison of information related to products and services (Cao, Gruca, & Klemz, 2003; Pavlou, 2003; Turban et al., 2000), which is important and time-consuming.”
- Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems (2009, result): “the connections between trust and taM have been widely discussed in previous studies [39, 72, 97, 124, 126].”
- Achieving customer value from electronic channels through identity commitment, calculative commitment, and trust in technology (2007, background): “Even though trust increases perceived usefulness (Pavlou, 2003), consumers may be forced by circumstance or externalities to use PC banking technology beyond their comfort level.”
- Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus (2013, background): “Perceived privacy risk may even have longerterm effects beyond disclosure; it may influence users’ intention to transact in a web shop (Kim et al. 2008; Pavlou 2003), or their intention to adopt an online service (Featherman and Pavlou 2003).”
- Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “1008) and defined as a situation in which consumer intends to purchase via the internet medium (Pavlou, 2003) and repurchase intention as “the subjective probability that a customer (i.”
- The imperative of influencing citizen attitude toward e-government adoption and use (2015, methodology): “BI items were adopted from Malhotra and Galletta (1999) and Pavlou (2003).”
- Enhance green purchase intentions (2012, background): “This study proposes the notion of “green perceived risk” and refers to Peter and Ryan (1976) to define it as “the expectation of negative environmental consequences associated with purchase behavior”.”
- Consumer Privacy Concerns and Preference for Degree of Regulatory Control (2009, background): “Trust in advertisers depends on many various factors in e-commerce, including overall satisfaction, lack of utility, incentives in ads, and privacy concerns (Pavlou 2003).”