An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors

By P. A. Dabholkar, Richard P. Bagozzi. 2002

2,032 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/8c613e2552ca1fa8b3bcc65cf8499fefed4f1ebf

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. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Ali Abdallah Alalwan
4. V. Venkatesh
5. Milena M. Head
6. Michael D. Williams
7. Jeroen J. L. Schepers
8. Dianne Cyr

In Organizational Behavior and Human Resource Management

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Ali Abdallah Alalwan
4. V. Venkatesh
5. Jeroen J. L. Schepers
6. Izak Benbasat
7. Milena M. Head
8. T. Falk

In Sociology and Political Science

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. Ali Abdallah Alalwan
4. V. Venkatesh
5. Milena M. Head
6. Izak Benbasat
7. Michael D. Williams
8. Dianne Cyr

Citations in the corpus

• Web site satisfaction and purchase intentions: Impact of personality characteristics during initial web site visit (2008, background): “Similar constructs used in empirical research include inherent novelty seeking (Dabholkar and Bagozzi, 2002), and technology anxiety (Meuter et al., 2003), in self-service technology settings. Some of the conceptual overlaps among these constructs assist in developing hypotheses relating to technolo”
• Cognitive, demographic, and situational determinants of service customer preference for personnel-in-contact over self-service technology (2007, background): “…in the delivery of services, and empirical studies have investigated consumer differences in the use of technology-based self-services (Bitner, Brown, & Meuter, 2000; Dabholkar, 1996, 1994; Dabholkar & Bagozzi, 2002; Meuter, Bitner, Ostrom, & Brown, 2005; Meuter, Ostrom, Roundtree, & Bitner, 2000).”
• Does social exclusion influence multiple channel use? The interconnections with community, happiness, and well-being (2016, background): “However, online shopping may be less useful, because old age can deter acceptance of technology (Dabholkar & Bagozzi, 2002) and older people are less likely to use a cellphone to get online (Duggan & Smith, 2013).”
• Only If It Is Convenient (2013, background): “In addition, Dabholkar and Bagozzi (2002) found that the need for human interaction positively influenced a customer’s overall attitude toward an SST.”
• Do Customers and Employees Enjoy Service Participation? Synergistic Effects of Self- and Other-Efficacy (2012, background): “A fun and enjoyable exchange experience could be created by customers’ participation (Dabholkar and Bagozzi 2002) as their role shifts from distanced spectators to coproducers of value (Deighton and Grayson 1995; Vargo and Lusch 2004).”
• Online purchase determinants: Is their effect moderated by direct experience? (2009, background): “As such, these studies do not seek to explain how online experience may precisely affect the underlying consumers’ motivations ( Dabholkar and Bagozzi, 2002”
• The Roles of Habit, Self-Efficacy, and Satisfaction in Driving Continued Use of Self-Service Technologies (2013, methodology): “More specifically, customers are more likely to adopt an SST if they perceive the technology as useful, easy to use, enjoyable, not risky, and controllable (e.g., Dabholkar and Bagozzi 2002; Walker et al. 2002).”
• Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, neutral): “[20]), ‘situational factors’ (e.”
• Consumer adoption of technological innovations: Effects of psychological and functional barriers in a lack of content versus a presence of content situation (2010, background): “In line with this issue, innovation research has indicated the importance of consumer-specific variables that go beyond demographics ( Dabholkar and Bagozzi, 2002”
• Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2018, background): “…approved hedonic motivation or its similar factors (e.g. fun, enjoyment, playfulness and perceived entertainment) on the customers’ intention to use technology (Alenezi et al., 2017; Dabholkar and Bagozzi, 2002; Dabholkar et al., 2003; Esman et al., 2010; Gan et al., 2006; Orel and Kara., 2014).”
• Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences (2017, background): “As online shopping is considered to be a service experience (e.g., Dabholkar and Bagozzi 2002), developing an innovative, distinctive service strategy to tackle these challenges is crucial for driving firm value (Dotzel et al. 2013).”