The DOI matches its Crossref record; 60 of the 62 references it cites were found in a registry or an index.
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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“Subsequent research applied the TAM to other technological innovations and extended the framework to include characteristics such as perceptions of enjoyment (Dabholkar & Bagozzi, 2002), trust (Gefen et al., 2003), and social influences (Venkatesh & Davis, 2000).”
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“Consumers with a high level of technology self-efficacy are engaged in using technology-based services (Dabholkar and Bagozzi 2002).”
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“…encounters focused on the dynamics and characteristics of service worker-customer interactions; in recent years, prior studies have actively explored the important role of technology in service encounters (Bitner et al., 2000; Dabholkar and Bagozzi, 2002; Chen et al., 2009; Lin et al., 2011).”
BackgroundEdrisi, A., & Ganjipour, H. (2022) · Transportation Planning and Technology · doi:10.1080/03081060.2022.2134127 · Cited by 35
“Concerning the socialized factor, the need for human interaction was found to pose a negative impact on the attitude of consumers toward using delivery robots, as reported in Dabholkar and Bagozzi (2002), Lee and Lyu (2016), and Meuter et al. (2005).”
BackgroundUnderstanding customer loyalty through system dynamics
García, J. A. M., & Martínez, L. (2009) · Management Decision · doi:10.1108/00251740910929768 · Cited by 36
Zhang, H., Ko, E., & Lee, E. (2012) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2012.00990.x · Cited by 36
A New Shopper Typology: Utilitarian and Hedonic Perspectives
Kim, Y., Lee, M., & Kim, Y. (2011) · Journal of Global Academy of Marketing Science · doi:10.1080/12297119.2011.9711017 · Cited by 34
Factors Influencing Consumers to Use e-services in Indonesian Airline Companies
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Aggregate consumer ratings and booking intention: the role of brand image
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“(1 = very unrealistic to 5 = very realistic) and ‘I have no difficulty imagining this situation’ (1 = strongly disagree to 5 = strongly agree) (Dabholkar and Bagozzi 2002).”
BackgroundConsumer Acceptance of Self-service Technologies: An Ability–Willingness Model
Wang, C. (2017) · International Journal of Market Research · doi:10.2501/ijmr-2017-048 · Cited by 34
“It is found that a technology is more likely to be accepted when consumers believe it is a better service option, easier and more fun to use (Dabholkar & Bagozzi 2002; Weijters et al .”
BackgroundKim, E. Y., & Yang, K. (2018) · Journal of Global Fashion Marketing · doi:10.1080/20932685.2018.1503558 · Cited by 34
“Dabholkar and Bagozzi (2002) suggest that the TR moderates the relationship between ease of use and attitude, and between fun and attitude toward using a SST.”
BackgroundSelling on Instagram: Factors that Determine the Adoption of Instagram Commerce
Herzallah, D., Muñoz‐Leiva, F., & Liébana-Cabanillas, F. J. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1976514 · Cited by 37
Ng, M., Law, M., Lam, L., & Cui, C. (2022) · Electronic Commerce Research · doi:10.1007/s10660-022-09656-3 · Cited by 49
“Consumers may derive hedonic value through various types of online activities, such as seeking and using online services [17], co-creation activities [63] and livestreaming commerce [67].”
BackgroundPredictors of internet banking adoption
Mzoughi, M. N., & M’Sallem, W. (2013) · International Journal of Bank Marketing · doi:10.1108/ijbm-10-2012-0105 · Cited by 34
Gossip in social networking sites
Okazaki, S., Rubio, N., & Campo, S. (2014) · International Journal of Market Research · doi:10.2501/ijmr-2014-022 · Cited by 34
“Realism check items (Dabholkar & Bagozzi 2002) • The situation described was realistic .”
BackgroundA Success Model for the Malaysian Government e-Procurement System: The Buyer Perspective
Kassim, E. S., & Hussin, H. (2013) · International Journal of Electronic Government Research · doi:10.4018/jegr.2013010101 · Cited by 34
Customer delight: universal remedy or a double-edged sword?
Ludwig, N. L., Heidenreich, S., Kraemer, T., & Gouthier, M. H. J. (2017) · Journal of Service Theory and Practice · doi:10.1108/jstp-08-2015-0197 · Cited by 34
Contactless but loyal customers: The roles of anxiety and sociability in the hotel service context
Li, M., & Huang, S. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.102910 · Cited by 33
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Park, S., Kwun, D. J., Park, J., & Bufquin, D. (2021) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2021.1935392 · Cited by 40
“Several researchers believe that service quality scales should be developed based on specific service contexts (e.g., Dabholkar & Bagozzi, 2002; Lin & Hsieh, 2011).”
BackgroundMethodPark, J., Yoo, J., Cho, Y., & Park, H. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2023-0338 · Cited by 23
How consumer acculturation influences interpersonal trust
Chai, J. C. Y., & Dibb, S. (2013) · Journal of Marketing Management · doi:10.1080/0267257x.2013.803140 · Cited by 32
“Multi-group analysis is a recognised technique for examining the effects of moderator variables on model constructs 23 (Baron & Kenny, 1986; Dabholkar & Bagozzi, 2002; Garson, 2010).”
Yap, S. F., & Gaur, S. S. (2015) · Behaviour and Information Technology · doi:10.1080/0144929x.2015.1035336 · Cited by 32
“In the case of online social communities, when individuals feel capable of communicating and socialising with others online, the greater the likelihood is that they will perceive online networking activities as fun (Dabholkar and Bagozzi 2002), and, hence, will affect their ATT favourably.”
BackgroundInfluentialTeichmann, K., Scholl‐Grissemann, U., & Stokburger-Sauer, N. E. (2016) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2016.03.006 · Cited by 34
Jiang, J., Feng, R., & Li, E. Y. (2021) · Sustainability · doi:10.3390/su13095095 · Cited by 32
“Dabholkar and Bagozzi [77] note that the relationship between attitude and intention can be attenuated for consumers who are high in innovativeness.”
BackgroundResultInfluentialThomas-Francois, K., & Somogyi, S. (2022) · International Review of Retail Distribution & Consumer Research · doi:10.1080/09593969.2022.2051195 · Cited by 34
“Dabholkar and Bagozzi (2002) highlighted situational factors such as consumers self-consciousness and the need for interaction with an employee.”
BackgroundBeeler, L. L., Zablah, A. R., & Rapp, A. A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.045 · Cited by 34
Amin, M. A., Mia, M. A. A., Bala, T., Iqbal, M. M., & Alam, M. S. (2023) · Management of Environmental Quality An International Journal · doi:10.1108/meq-09-2022-0257 · Cited by 35
RetractedInfluence of customer–firm relationships on customer participation in the service industry
Ahn, J., & Rho, T. (2014) · Service Business · doi:10.1007/s11628-014-0258-6 · Cited by 33
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Román, S., & Martín, P. J. (2014) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-05-2012-0092 · Cited by 33
Developing an Instrument for Measurement of Attitude toward Online Shopping
Delafrooz, N., Paim, L., & Khatibi, A. (2009) · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Cited by 32
Investigating factors affecting the acceptance of self-service technology in libraries
Hsiao, C., & Tang, K. (2015) · Library Hi Tech · doi:10.1108/lht-09-2014-0087 · Cited by 31
Key determinants of sustainable smartcard payment
Liao, Z., Shi, X., & Wong, W. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.02.001 · Cited by 35
“It has been recognized that situational factors in association with a particular technology-based service innovation must be consistently examined (Dabholkar and Bagozzi, 2002; Dashac and Sajibc, 2008).”
BackgroundEffect of inherent innovativeness and consumer readiness on attitudes to mobile banking
Frimpong, K., Al-Shuridah, O. M., Wilson, A. M., & Sarpong, F. A.-A. (2017) · Journal of Financial Services Marketing · doi:10.1057/s41264-017-0037-2 · Cited by 31
“In a previous study, Dabholkar and Bagozzi (2002) conceptualized the construct as a moderator within an attitudinal model of SST adoption.”
BackgroundMethodResultInfluentialUseful chatbot experience provides technological satisfaction: An emerging market perspective
Lubbe, I., & Ngoma, N. (2021) · South African journal of information management · doi:10.4102/sajim.v23i1.1299 · Cited by 47
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“Personal services are now being replaced by technologybased self-service (TBSS) through the use of technical interfaces without the involvement of service personnel (Dabholkar & Bagozzi, 2002; H. J. Yang & Lee, 2008).”
BackgroundMahmood, R., & Khan, S. M. (2014) · Cited by 31
Consumer evaluation of self-service innovation failure: the effect of brand equity and attribution
Liao, S., & Cheng, C. C. J. (2011) · Service Industries Journal · doi:10.1080/02642069.2011.614339 · Cited by 31
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Leveraging the power of online social networks: a contingency approach
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Natarajan, T., Balasubramanian, S. A., & Sivagnanasundaram, M. (2010) · The Journal of Internet Banking and Commerce · Cited by 31
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“It has been even reported that self-service represents a signi fi cant moderating pose in technology-related models (Beatson, 2010; Dabholkar and Bagozzi, 2002).”
Khaksar, S. M. S., Shahmehr, F. S., Miah, S. J., Daim, T. U., & Ozdemir, D. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123034 · Cited by 30
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“Personal dispositions are at the heart of attitude formation and behavioral intention; thus, they can lead individuals to place different weights on different attributes (Dabholkar & Bagozzi, 2002).”
BackgroundInfluentialTarabashkina, L., Quester, P. G., & Tarabashkina, O. (2020) · European Journal of Marketing · doi:10.1108/ejm-11-2018-0772 · Cited by 31
Technology readiness and segmentation profile of matureconsumers
Rose, J., & Fogarty, G. J. (2010) · University of Southern Queensland ePrints (University of Southern Queensland) · Cited by 30
GAMIFICATION IS ALL ABOUT FUN: THE ROLE OF INCENTIVE TYPE AND COMMUNITY COLLABORATION
Lounis, S., Pramatari, K. C., & Theotokis, A. (2014) · Cited by 30
Usage based upon reasons: the case of electronic banking services in India
Arora, S., & Sandhu, S. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2017-0060 · Cited by 33
Seo, K. H. (2020) · Sustainability · doi:10.3390/su12218790 · Cited by 29
“Especially, it is emphasized that the perceived fun in using a technology-based self-service has a positive influence on attitudes [45].”
BackgroundA cross-category analysis of dispositional drivers of technology adoption
Ratchford, M., & Ratchford, B. T. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.01.037 · Cited by 29
Determinants of continuance intention to use mobile self-scanning applications in retail
Ferreira, A., Silva, G. M., & Dias, Á. (2021) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-02-2021-0032 · Cited by 29
Eren, B. A. (2023) · Journal of Financial Services Marketing · doi:10.1057/s41264-023-00229-5 · Cited by 43
“…from the five structures of the UTAUT scale (PE, EE, SI, FC, and BI) (Venkatesh et al. 2003), seven items from the trust scale (Komiak and Benbasat 2006), four items from the NISE scale (Dabholkar and Bagozzi 2002), and four items from the FRT scale (borrowed from the survey of consumer finance).”
Akinyele, S. T., & Olorunleke, K. (2010) · International Business Management · doi:10.3923/ibm.2010.209.221 · Cited by 29
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“…al., 2007; Schoenbachler and Gordon, 2002; Venkatesan et al., 2007); ii) attitudes towards technology (Black et al., 2002; Boyer and Frohlich, 2006; Dabholkar and Bagozzi, 2002); iii) past channel experience (when and how the customer has interacted in the past), including customer channel…”
BackgroundPfisterer, L., & Roth, S. (2015) · Marketing Theory · doi:10.1177/1470593115569103 · Cited by 28
“Thus, for a detailed description of usage processes, contextual factors that affect value creation also need to be considered (e.g. Dabholkar and Bagozzi, 2002; Gummerus and Pihlström, 2011; Korkman, 2006; Korkman et al., 2010; Ng, 2010; Vargo et al., 2008).”
BackgroundEffects of task complexity on creative customer behavior
Gong, T., & Choi, J. N. (2016) · European Journal of Marketing · doi:10.1108/ejm-04-2015-0205 · Cited by 29
On the post-acceptance of mobile movie-themed games
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“This affects an individual’s attitude and intention to use certain information technology, and arouses subsequent interactions (Dabholkar and Bagozzi, 2002; van der Heijden, 2004).”
BackgroundResultSafaeimanesh, F., Kılıç, H., Alipour, H., & Safaeimanesh, S. (2021) · Sustainability · doi:10.3390/su13052604 · Cited by 33
“Enjoyment from using SSTs not only increases its usage but also enhances customer’s appreciation [60,61].”
BackgroundH.M.R.S.S., G., Kulathunga, D., & Perera, W. L. M. V. (2015) · Gadjah Mada International Journal of Business · doi:10.22146/gamaijb.6147 · Cited by 29
Conceptualisation of service quality for hybrid services: a hierarchical approach
Ganguli, S., & Roy, S. K. (2013) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2013.814293 · Cited by 28
On the role of bank staff in online customer purchase
Durkin, M. (2007) · Marketing Intelligence & Planning · doi:10.1108/02634500710722416 · Cited by 28
An Empirical Investigation of the Consequences of Technostress
Chen, L., & Muthitacharoen, A. (2016) · Information Resources Management Journal · doi:10.4018/irmj.2016040102 · Cited by 33
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Understanding registration influences for electronic banking
Durkin, M. (2007) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593960701368754 · Cited by 27
Influence of traits and emotions on boosting status sharing through microblogging
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“Consumers with a high degree of inherent novelty seeking are intrinsically motivated to use new products or services and enjoy the feeling of applying new approaches to old issues (Dabholkar and Bagozzi 2002; Andreassen and Streukens 2013).”
BackgroundKim, J., Chang, Y., Chong, A. Y., & Park, M.-C. (2019) · Information & Management · doi:10.1016/j.im.2019.02.010 · Cited by 27
Capture the hearts to win the minds: cause-related marketing in Egypt
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Ayodeji, Y., & Rjoub, H. (2020) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20867 · Cited by 27
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“Novelty-seeking consumers have favorable attitudes toward technology-based products, show higher intrinsic motivation to adopt such products, and are stimulated to try new ways of solving old problems [64].”
BackgroundSafeCX: a framework for safe customer experience in omnichannel retailing
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Huang, S. (2022) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2022.09.012 · Cited by 33
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“When teachers feel they can implement a certain teaching method, then most likely they will also feel that the teaching activity is fun, and their attitudes would definitely impact (Dabholkar & Bagozzi, 2002).”
Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education
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Environment, Resource Integration, and New Ventures’ Competitive Advantage in China
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Purchasing services online: a two‐country generalization of possible influences
Riley, F. D., Scarpi, D., & Manaresi, A. (2009) · Journal of Services Marketing · doi:10.1108/08876040910946350 · Cited by 27
Merisavo, M. (2006) · Aaltodoc (Aalto University) · Cited by 27
Time and Location as Customer Perceived Value Drivers
Heinonen, K. (2004) · Työväentutkimus Vuosikirja · Cited by 27
The Effects of E-Tourism to The Development of Tourism Sector in Indonesia
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“It is a new and cost-effective means to interact and deliver services to customers [8–10].”
BackgroundLoyalty programs as travel companions: Complementary service features across customer journey stages
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Investigating the unexpected determinants of cryptocurrency adoption in the UAE
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“The effect of technology efficacy on technology adoption behavior has been empirically supported in previous studies (Bandura, 1995, 1997; Dabholkar & Bagozzi, 2002; Kankanhalli, Tan, & Wei, 2005; Sullivan Mort & Drennan, 2007).”
BackgroundResultOnline banking in India: An approach to establish CRM
Khare, A. (2010) · Journal of Financial Services Marketing · doi:10.1057/fsm.2010.13 · Cited by 26
Digital booking services: comparing online with phone reservation services
Schaarschmidt, M., & Höber, B. (2017) · Journal of Services Marketing · doi:10.1108/jsm-04-2016-0145 · Cited by 26
VIABILITY OF THE EXTENDED TECHNOLOGY ACCEPTANCE MODEL: AN EMPIRICAL STUDY
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The role of omnichannel tendency in digital information processing
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Li, G., Zhao, Z., Li, L., Li, Y., Zhu, M., & Jiao, Y. (2023) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-07-2022-0222 · Cited by 25
User Acceptance of 'Smart Products': An Empirical Investigation
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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
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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