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An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors
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“Several studies in the past have confirmed the powerful correlation between intention to perform a behavior and actual behavior (Dabholkar & Bagozzi, 2002; Lucas & Spitler, 1999; Vijayasarathy, 2004).”
From Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018) · cites this paper as Dabholkar & Bagozzi, 2002
In the citing paper
“According to Engel and Blackwell [95], and Dabholkar and Bagozzi [92], situational factors can forbid people from using new technology despite favorable consumer personalities.”
From Consumer Adoption of Online Food Delivery Ordering (OFDO) Services in Pakistan: The Impact of the COVID-19 Pandemic Situation (2021) · cites this paper as Dabholkar and Bagozzi [92]
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Proactive versus reactive apparel brands in sustainability: Influences on brand loyalty
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“First, for each of these moderators, a third-split method was employed to split the sample into three groups (Dabholkar and Bagozzi, 2002).”
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Self-citationSelf-service delight: Exploring the hedonic aspects of self-service
Collier, J. E., & Barnes, D. C. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.09.036 · Cited by 132
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“It is a well-known fact that customers who are highly curious and prone to novelty-seeking tend to have more favorable attitudes toward using new technologies (Adapa et al., 2020; Dabholkar & Bagozzi, 2002).”
BackgroundShopper age and the use of self‐service technologies
Dean, D. H. (2008) · Managing Service Quality · doi:10.1108/09604520810871856 · Cited by 129
Customer Self-Efficacy in Technology-Based Self-Service
van Beuningen, J., de Ruyter, K., Wetzels, M. G. M., & Streukens, S. (2008) · Journal of Service Research · doi:10.1177/1094670509333237 · Cited by 128
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Co-creation in hotel service innovation using smart phone apps: an empirical study
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The effects of service failures and recovery on customer loyalty in e‐services
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Technology readiness and usage: a global-identity perspective
Westjohn, S. A., Arnold, M. J., Magnusson, P., Zdravković, S., & Zhou, J. X. (2009) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-008-0130-0 · Cited by 130
Usefulness, Enjoyment, and Self‐Image Congruence: The Adoption of e‐Book Readers
Martín, C. A., Izquierdo, C. C., & Pinto, J. R. (2013) · Psychology and Marketing · doi:10.1002/mar.20612 · Cited by 126
Interpersonal service quality, self-service technology (SST) service quality, and retail patronage
Lee, H., & Yang, K. (2012) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2012.10.005 · Cited by 126
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Customers’ Intention and Adoption of Telebanking in Jordan
Alalwan, A., Dwivedi, Y. K., & Williams, M. D. (2016) · Information systems management · doi:10.1080/10580530.2016.1155950 · Cited by 118
“As with other types of SSTs, the adoption rate of telebanking has not grown as expected, and customers are still reluctant to commonly accept this technology (Curran, Meuter, & Surprenant, 2003; Dimitriadis & Kyrezis, 2011; Peevers, Douglas, Marshall, & Jack, 2011; Wan, Luk, & Chow, 2005).”
BackgroundInfluentialIf employees “go the extra mile,” do customers reciprocate with similar behavior?
Yi, Y., & Gong, T. (2008) · Psychology and Marketing · doi:10.1002/mar.20248 · Cited by 126
Kallweit, K., Spreer, P., & Toporowski, W. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.02.002 · Cited by 124
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“…service delivery, partly or entirely (De Keyser et al. 2019; Larivi`ere et al. 2017), through self-service (e.g., ATMs, check-in/checkout kiosks; Dabholkar and Bagozzi 2002; Meuter et al. 2000) and remote service (e.g., telehealth, online banking; Green, Hartley, and Gillespie 2016; Paluch and…”
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Chaouali, W., Souiden, N., & Ladhari, R. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.11.009 · Cited by 122
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Automated social presence in AI: Avoiding consumer psychological tensions to improve service value
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Toward a deeper understanding of service marketing: The past, the present, and the future
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Perceived Impacts of Artificial Intelligence and Responses to Positive Behaviour Change Intervention
Tussyadiah, I. P., & Miller, G. A. (2018) · Springer eBooks · doi:10.1007/978-3-030-05940-8_28 · Cited by 121
“To that end, attitudinal segmentation approach has been applied to identify homogenous groups within a heterogenous market with shared values toward adoption of self-service technology [19, 20], technology-enabled service delivery [21], and mobile marketing [18].”
MethodThe social significance of AI in retail on customer experience and shopping practices
Moore, S., Bulmer, S., & Elms, J. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102755 · Cited by 130
Psychological safety and social support in groupware adoption: A multi-level assessment in education
Schepers, J., de Jong, A., Wetzels, M. G. M., & de Ruyter, K. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.08.001 · Cited by 127
Situational variables in online versus offline channel choice
Chocarro, R., Cortiñas, M., & Villanueva, M.-L. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.03.004 · Cited by 139
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The role of post‐training self‐efficacy in customers' use of self service technologies
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BackgroundE-Services: A Synthesis and Research Agenda
Hofacker, C. F., Goldsmith, R. E., Bridges, E., & Swilley, E. (2007) · Deutscher Universitätsverlag eBooks · doi:10.1007/978-3-8350-9614-1_3 · Cited by 115
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The effect of self-checkout quality on customer satisfaction and repatronage in a retail context
Fernandes, T., & Pedroso, R. (2016) · Service Business · doi:10.1007/s11628-016-0302-9 · Cited by 115
“Also Dabholkar (1996), Dabholkar and Bagozzi (2002) and Anselmsson (2001) consider that enjoyment with the use of SST systems is one of the main attributes determining evaluations of service quality.”
BackgroundKang, J., Tang, L. R., Lee, J. Y., & Bosselman, R. H. (2011) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2011.09.017 · Cited by 116
Barriers in adoption of internet banking: A structural equation modeling - Neural network approach
Arif, I., Aslam, W., & Hwang, Y. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101231 · Cited by 129
Service quality dimensions of hybrid services
Ganguli, S., & Roy, S. K. (2010) · Managing Service Quality · doi:10.1108/09604521011073713 · Cited by 112
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“The finding that Hotel X's guests rate the SST option that helps them obtain monetary discounts for entertainment and dining options as higher in importance than all the other SST option supports Dabholkar and Bagozzi (2002).”
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Image Congruence and the Adoption of Service Innovations
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“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).”
BackgroundEffects of Corporate Social Responsibility perception on consumer satisfaction with the brand
Rivera, J. J., Bigne, E., & Pérez, R. C. (2016) · Spanish Journal of Marketing - ESIC · doi:10.1016/j.sjme.2016.06.002 · Cited by 129
Determinants of behavioral intentions in the mobile internet services market
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Consumer–retailer love and attachment: Antecedents and personality moderators
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The electronic service quality model: The moderating effect of customer self‐efficacy
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“A sample item from this scale includes, ‘‘Participating in the sponsorship of the American Forests with Paul Mitchell will take a lot of my personal time’’ (Dabholkar 1994; Dabholkar and Bagozzi 2002).”
BackgroundA contextual perspective on consumers' perceived usefulness: The case of mobile online shopping
Sohn, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.05.002 · Cited by 116
Purchase intention of renewable energy technology in rural areas in Bangladesh: Empirical evidence
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Predicting Wine Tourism Intention: Destination Image and Self-congruity
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“Three items were used to measure intent, adapted from Dabholkar and Bagozzi (2002), Sparks (2007), and Getz and Brown (2006) and measured on a 7-point Likert-type scale.”
BackgroundMethodTechnology readiness and technology paradox of unmanned convenience store users
Park, H. J., & Zhang, Y. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102523 · Cited by 107
Naseri, M. B., & Elliott, G. (2011) · Journal of Targeting Measurement and Analysis for Marketing · doi:10.1057/jt.2011.9 · Cited by 107
An adapted TPB approach to consumers’ acceptance of service-delivery drones
Ramadan, Z. B., Farah, M. F., & Mrad, M. (2016) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2016.1242720 · Cited by 112
“In addition, the satisfactory performance of a self-service technology is usually positively related to the attitude that a customer holds towards it (Dabholkar and Bagozzi 2002).”
Age cohort analysis in adoption of mobile data services: gen Xers versus baby boomers
Yang, K., & Jolly, L. D. (2008) · Journal of Consumer Marketing · doi:10.1108/07363760810890507 · Cited by 106
Rethinking the TAM model: time to consider fun
Chtourou, M. S., & Souiden, N. (2010) · Journal of Consumer Marketing · doi:10.1108/07363761011052378 · Cited by 105
Worth waiting for: increasing satisfaction by making consumers wait
Giebelhausen, M. D., Robinson, S. G., & Cronin, J. J. (2010) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-010-0222-5 · Cited by 107
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Leung, L. S. K., & Matanda, M. J. (2013) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2013.06.003 · Cited by 118
How Individual Differences Influence Technology Usage Behavior? Toward an Integrated Framework
Yi, Y., Wu, Z., & Tung, L. L. (2005) · Journal of Computer Information Systems · doi:10.1080/08874417.2006.11645883 · Cited by 105
Early versus potential adopters
Chiu, Y. H., Fang, S., & Tseng, C. (2010) · International Journal of Retail & Distribution Management · doi:10.1108/09590551011045357 · Cited by 103
Modeling Customers' Intention to Use E-Wallet in a Developing Nation
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An Indian customer surrounding 7P׳s of service marketing
Kushwaha, G. S., & Agrawal, S. R. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.10.006 · Cited by 100
Bulmer, S., Elms, J., & Moore, S. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.01.016 · Cited by 100
“In particular, perceived waiting times in-store have also been found to have a strong and positive influence on consumers’ intentions to use SSCO relative to more traditional PoS systems (Dabholkar and Bagozzi, 2002).”
BackgroundPerceived value of AI-based recommendations service: the case of voice assistants
Akdim, K., & Casaló, L. V. (2023) · Service Business · doi:10.1007/s11628-023-00527-x · Cited by 122
Adoption of technology-based services: the role of customers’ willingness to co-create
Heidenreich, S., & Handrich, M. (2015) · Journal of service management · doi:10.1108/josm-03-2014-0079 · Cited by 106
“Definitions for each individual difference construct, namely self-efficacy, inherent novelty seeking, need for control, previous experience and technological innovativeness (Bruner and Kumar, 2007; Dabholkar and Bagozzi, 2002; Meuter et al., 2005), are depicted in Table I.”
BackgroundResultInfluentialSelf-scanning technologies in retail: Determinants of adoption
Marzocchi, G. L., & Zammit, A. (2006) · Service Industries Journal · doi:10.1080/02642060600850790 · Cited by 111
Dellaert, B. G. C., & Dabholkar, P. A. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415130302 · Cited by 101
Self-citationFeng, W., Tu, R., Lu, T., & Zhou, Z. (2019) · Behaviour & Information Technology · doi:10.1080/0144929x.2018.1557745 · Cited by 98
“…of China Forcing users to adopt SSTs that they are not yet ready to use can backfire and induce anger, anxiety, and/or feelings of discomfort (Dabholkar and Bagozzi 2002; Dhar and Simonson 2003; Dillard and Shen 2005), resulting in negative service evaluations (Lin and Hsieh 2006;…”
BackgroundResultExploring chatbot trust: Antecedents and behavioural outcomes
Alagarsamy, S., & Mehrolia, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16074 · Cited by 142
“The fifth section of the instrument consists of constructs related to individual perceptions about chatbot trust and its behavioural outcomes, such as behavioural intention [48], attitude [122] and user satisfaction [123].”
BackgroundIbrahim, H., & Najjar, F. (2008) · Marketing Intelligence & Planning · doi:10.1108/02634500810860638 · Cited by 98
Khaksar, S. M. S., Chu, M.-T., Rozario, S. D., & Slade, B. (2020) · Knowledge Management Research & Practice · doi:10.1080/14778238.2020.1794992 · Cited by 126
Empathic chatbots: A double-edged sword in customer experiences
Juquelier, A., Poncin, I., & Hazée, S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.115074 · Cited by 118
Examining customer evaluations across different self-service technologies
Robertson, N. L., McDonald, H., Leckie, C., & McQuilken, L. (2016) · Journal of Services Marketing · doi:10.1108/jsm-07-2014-0263 · Cited by 97
Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online
Juniwati (2014) · European Journal of Business and Management · Cited by 96
Personal values as determinants of intentions to use self-service technology in retailing
Lee, H., & Lyu, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.02.051 · Cited by 106
Lourenco, C. J., Dellaert, B. G. C., & Donkers, B. (2020) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2019.10.003 · Cited by 107
Hazée, S., Vaerenbergh, Y. V., Delcourt, C., & Warlop, L. (2019) · Journal of Service Research · doi:10.1177/1094670519838622 · Cited by 93
“…read a description of a typical car-sharing service (see Web Appendix), then rated their intentions to use the service (α = .86) and their attitudes toward it (α = .97), on three-item, 7-point scales adopted from Maxham and Netemeyer (2002) and Dabholkar and Bagozzi (2002), respectively.”
MethodChauhan, S., & Jaiswal, M. (2016) · The International Journal of Management Education · doi:10.1016/j.ijme.2016.05.005 · Cited by 180
Is the influence of privacy and security on online trust the same for all type of consumers?
Riquelme, I. P., & Román, S. (2014) · Electronic Markets · doi:10.1007/s12525-013-0145-3 · Cited by 94
“However, as argued earlier, researchers have long pointed out that “hypothesizing direct effects may be somewhat redundant and obvious” (Dabholkar and Bagozzi 2002; p.185), and it is much more meaningful to investigate the moderating effects of consumer personal traits and demographics (e.g.…”
BackgroundInfluentialStreaming apps: What consumers value
Oyedele, A., & Simpson, P. M. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.04.006 · Cited by 92
Um, T., Kim, T.-K., & Chung, N. (2020) · Sustainability · doi:10.3390/su12125119 · Cited by 104
“Novelty seeking was measured by the items from Dabholkar and Bagozzi [44].”
BackgroundMethodPizam, A., Ozturk, A. B., Hacikara, A., Zhang, T. C., Balderas-Cejudo, A., Buhalis, D., Fuchs, G., Hara, T., Meira, J. V. D. S., Revilla, M. R. G., et al. (2023) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103641 · Cited by 99
Customer experience from a self-service system perspective
Åkesson, M., Edvardsson, B., & Tronvoll, B. (2014) · Journal of service management · doi:10.1108/josm-01-2013-0016 · Cited by 102
Service mobile apps: a millennial generation perspective
Leon, S. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-10-2017-0479 · Cited by 119
Borhan, M. N., Ibrahim, A. N. H., & Miskeen, M. A. A. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.09.058 · Cited by 90
Roy, S. K., Balaji, M. S., & Nguyen, B. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2020.1736130 · Cited by 107
“Perceived enjoyment was measured using three items adapted from Dabholkar and Bagozzi (2002).”
MethodHong, C., Choi, E.-K., & Joung, H.-W. (2022) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2022.12.005 · Cited by 104
Metadata
- Authors
- Dabholkar, P. A., & Bagozzi, R. P.
- Affiliations
- University of Tennessee at Knoxville (US)
- Rice University (US)
- ORCID
- Bagozzi, R. P.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2002-07-01
- Volume
- 30
- Issue
- 3
- Pages
- 184-201
- ISSN
- 0092-0703 (ISSN-L)
- OpenAlex
- W2029483732
- Semantic Scholar
- 8c613e2552ca1fa8b3bcc65cf8499fefed4f1ebf
- Cited by
- 1,898
- References
- 62
- Citations by year
- 2026: 50 · 2025: 86 · 2024: 90 · 2023: 79 · 2022: 92 · 2021: 112 · 2020: 105 · 2019: 100 · 2018: 84 · 2017: 77 · 2016: 93 · 2015: 104 · 2014: 130 · 2013: 100 · 2012: 100
- FWCI
- 49.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Academy of Marketing Science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- self-service technology, consumer acceptance, attitudinal model, consumer characteristics, situational factors, perceived waiting time, social anxiety, perceived crowding, novelty seeking, technology self-efficacy, self-consciousness, service delivery
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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