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
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Self-citationMead, G. H., Joas, H., Huebner, D. R., & Morris, C. W. (2015) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226112879.001.0001 · Cited by 12,419
(1974) · Medical Entomology and Zoology · Cited by 7,295
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
Self-citation(1985) · Cited by 6,185
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
Cited by
Sorted by citations
Items 901–1,000 of 1,000
Huang, B., Laporte, S., Sénécal, S., & Sobol, K. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124279 · Cited by 17
Customers' online channel switching behavior: the moderating role of switching cost
Pourabedin, Z., Foon, Y. S., Chatterjee, R. S., & Ho, J. S. Y. (2016) · Sunway Institutional Repository (Sunway University) · Cited by 13
Ma, X., Chen, H., Lang, X., & Li, T. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12929 · Cited by 13
Koka, N. A. (2023) · MIGRATION LETTERS · doi:10.59670/ml.v21is1.5939 · Cited by 13
“In addition to its use in the area of information systems management, technology acceptance models have been employed in several other disciplines, such as marketing and advertising (Gefen, Karahanna & Straub, 2003; Dabholkar & Bagozzi, 2002; Gentry & Calantone, 2002).”
MethodKhut, S. (2024) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-024-10447-5 · Cited by 13
“Moreover, Dabholkar and Bagozzi (2002) demonstrated that when teachers have confidence in their ability to implement a specific teaching methodology, they are more likely to perceive the teaching approach as enjoyable, thereby impacting their attitude towards implementation.”
Digital Immigrants Versus Digital Natives: Decoding Their E-commerce Adoption Behavior
Thangavel, P., & Chandra, B. (2024) · SAGE Open · doi:10.1177/21582440241282437 · Cited by 13
“Moreover, it has been found that the enter-tainment aspects of e-commerce services brought in the most interest to adopt and use it (Dabholkar & Bagozzi, 2002).”
Mangin, J.-P. L., Bourgault, N., Moriano, J. A., & Guerrero, M. M. (2012) · International Business Research · doi:10.5539/ibr.v5n2p13 · Cited by 13
Customer’s patronage decision toward health insurance products
Rahman, M. S., Abdelfattah, F., Zaman, M. H., & Hassan, H. (2017) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-12-2016-0248 · Cited by 13
Zarei, M. M., Agudo-Peregrina, Á. F., & Ponce-Cueto, E. (2019) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2019.1596825 · Cited by 13
“For instance, a crowded store makes consumers feel socially anxious; as a result, they will want to change their shopping process and look for another alternative, by changing the channel, product or store (Dabholkar & Bagozzi, 2002).”
BackgroundKennedy, E. B., Guzmán, F., & Ind, N. (2021) · Journal of Brand Management · doi:10.1057/s41262-021-00258-2
“Hedonic activities—four items adapted from Dabholkar and Bagozzi (2002) (α = 0.95); social importance—five items adapted from Schroeder and Dugal (1995) (α = 0.86); personal values—six items adapted from Aaker et al (2004) (α = 0.83), and co-creation—nine items adapted from Christodoulides et al…”
BackgroundInfluentialBaelen, F. V., Regge, M. D., Larivière, B., Verleye, K., Schelfout, S., & Eeckloo, K. (2022) · JMIR mhealth and uhealth · doi:10.2196/33772 · Cited by 14
“All constructs were measured using previously validated multi-item scales with proven validity and reliability (See Multimedia Appendix 2 [49-53]).”
MethodWhat’s Best for Customers: Empathetic Versus Solution-Oriented Service Robots
Tojib, D., Abdi, E., Tian, L., Rigby, L., Meads, J., & Prasad, T. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-00970-w · Cited by 13
“Priorresearchhasshownthattechnologyself-efficacy has an impact on attitude towards technology [52].”
BackgroundRodrigo, P., Khan, H., & Naser, V. (2023) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-05-2022-0107 · Cited by 13
A Review of Key Factors Affecting the Adoption of Self-Service Technologies in Tourism.
Kelly, P., Lawlor, J., & Mulvey, M. S. (2010) · Arrow@dit (Dublin Institute of Technology) · doi:10.21427/d7gf5x · Cited by 13
Understanding the Antecedents of Perceived Value of Registered Traveler Biometric Systems
Morosan, C. V. (2012) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2012.631728 · Cited by 13
Gossiping Behavior on Social Networking Sites: Does Gender Matter?
Okazaki, S., Rubio, N., & Campo, S. (2014) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2014.907710 · Cited by 13
“A realism check was performed by asking the respondents to rate two questions—“The situation described was realistic” and “You had no difficulty imagining yourself in the situation”— on a scale of 1 (completely disagree) to 7 (completely agree; Dabholkar & Bagozzi, 2002).”
Suliantoro, H., Ghozali, I., & Wibowo, M. A. (2017) · International Journal of Business and Society · doi:10.33736/ijbs.562.2015 · Cited by 14
“…business graphics program (Davis et al, 1992), the use of technology in the University Computer Center (Taylor and Todd, 1995); interactive online help desk system (Venkatesh, 2000), the world wide web and the internet (Moon and Kim, 2001); touch screen ordering system (Dabholkar & Bagozzi, 2002).”
Gonzalez, E. (2016) · International Journal of Marketing Studies · doi:10.5539/ijms.v8n6p1 · Cited by 13
“When this expectation is met, the consumer’s positive attitude toward using mobile shopping services should be significant (Yang, 2010); if this technology is effortless, the degree of hedonic performance expectancy will increase (Dabholkar & Bagozzi, 2002).”
BackgroundWho are likely to experience disconfirmation? Impact of temperament and character on disconfirmation
Liao, G., Huang, H.-C., & Teng, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.007 · Cited by 13
Investigating the Role of Customer Brand Engagement and Relationship Quality on Brand Loyalty
Nagaraj, S., & Singh, S. (2018) · International Journal of E-Business Research · doi:10.4018/ijebr.2018070103 · Cited by 13
Unpacking the Associations Between Perceived Cultural Support and Employee Health
Kwon, Y., & Marzec, M. L. (2019) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000001698 · Cited by 13
Adoption of enterprise mobile systems – An alternative theoretical perspective
Choudhary, P. K., Routray, S., Upadhyay, P., & Pani, A. K. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102539 · Cited by 13
Consumer Acceptance of Technology Products: The Impact of Tactical Selling Approaches
Elliott, M. T., & FU, F. Q. (2008) · Marketing Management Journal · doi:10.63963/001c.150945 · Cited by 13
Antecedents and optimal industrial customers on cloud services adoption
Chen, L. S.-L., & Chen, J.-H. (2018) · Service Industries Journal · doi:10.1080/02642069.2018.1437907 · Cited by 14
“(EUI6) Dabholkar and Bagozzi (2002) purposeful sampling was used for the data collection in which the respondents were approached through email and/ or telephone to know whether they are aware of cloud computing and if yes, whether they are willing to adopt cloud computing or they are in the…”
MethodMitigating the Negative Effects of Customer Anxiety through Access to Human ContactPreprint
Shell, M. A., & Buell, R. W. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3328971 · Cited by 13
Adoption Factors of Digital Services—A Systematic Literature Review
Paulus, M., Jordanow, S., & Millemann, J. A. (2022) · Service Science · doi:10.1287/serv.2022.0305 · Cited by 12
Joo, K., & Hwang, J. (2023) · Applied Sciences · doi:10.3390/app132011433 · Cited by 12
Kabir, M. R., Mahmud, H., & Hasan, M. K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0293608 · Cited by 12
Abbes, M., Julien, A., Hao, S., & Touzani, M. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2024.3359707 · Cited by 14
Merdin‐Uygur, E., & Öztürkcan, S. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2351195 · Cited by 13
“Unlike those high in self-efficacy, those who are low in self-efficacy regarding robotic technologies are less judgemental of easy-to-use robotic technologies (Dabholkar and Bagozzi 2002).”
Chatbot Efficiency—Model Testing
Bialkova, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-56471-0_5 · Cited by 12
Song, C. S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114823 · Cited by 12
Wiangkham, A., Kieanwatana, K., & Vongvit, R. (2024) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2024.100442 · Cited by 13
Chi, Y.-L., & Tsai, Y.-C. (2017) · Journal of Statistics and Management Systems · doi:10.1080/09720510.2016.1232888 · Cited by 12
“Use attitudes proposed by Dabholkar and Bagozzi (2002) will affect customers’ attitudes of perceived ease of use.”
BackgroundPai, P., Tsai, H.-T., & Zhong, J.-Y. (2022) · European Journal of Marketing · doi:10.1108/ejm-11-2020-0842 · Cited by 18
Do people intend to use AI Voice Assistants? An empirical study in Vietnam
Thi, T. D. P., & Duong, N. T. (2022) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2022.2106003 · Cited by 15
“In addition, some studies have pointed out that the psychological characteristics of users also affect the use of technology products (Dabholkar & Bagozzi, 2002; Enez Darcin et al., 2016).”
BackgroundThe influence of acculturation on consumer relational bonding in banking relationships
Chai, J. C. Y., Deans, K. R., & Biggemann, S. (2012) · Journal of Strategic Marketing · doi:10.1080/0965254x.2012.657227 · Cited by 12
Pentina, I., Pullins, E. B., & Wilkinson, J. (2014) · International Journal of Information Systems and Management · doi:10.1504/ijisam.2014.062276 · Cited by 12
“For example, TAM has been widely applied and empirically supported to predict the adoption of information technology (Taylor and Todd, 1995), computers (Davis et al., 1989), and technology-based self-service (Dabholkar and Bagozzi, 2002).”
BackgroundKaura, V., Prasad, C. S. D., & Sharma, S. (2013) · Journal of Strategic Marketing · doi:10.1080/0965254x.2013.804859 · Cited by 12
Ihl, C., & Piller, F. T. (2016) · Progress in IS · doi:10.1007/978-3-319-31686-4_10 · Cited by 12
Zhang, H., Ko, E., & Taylor, C. R. (2011) · Advances in international marketing · doi:10.1108/s1474-7979(2011)0000021008 · Cited by 12
Adoption factors of online-web railway ticket reservation service (A case from Indonesia)
Indrawati, I., & Yusliansyah, S. (2017) · doi:10.1109/icoict.2017.8074709 · Cited by 12
“Several scholars found that when Online-Web Service such as OTRS is perceived safe, secure and can be done correctly with acceptable risk, the service will be accepted and used by the customer [11, 12].”
BackgroundPersonal and Interpersonal Drivers that Contribute to the Intention to Use Gerontechnologies
Regge, M. D., Baelen, F. V., Beirão, G., Ambtman, A. D., Pourcq, K. D., Dias, J. C., & Kandampully, J. A. (2019) · Gerontology · doi:10.1159/000502113 · Cited by 12
User Engagement Mechanisms of Online Co-Design Service: Does User Innovativeness Matter?
Windasari, N. A., & Visita, L. (2019) · Asian Academy of Management Journal · doi:10.21315/aamj2019.24.1.3 · Cited by 15
El‐Said, O. A., & Tall, T. A. (2019) · Springer eBooks · doi:10.1007/978-3-030-36737-4_17 · Cited by 12
Dystopia and utopia in digital services
Hofacker, C. F., & Corsaro, D. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2020.1739454 · Cited by 12
“We know that human interaction (Dabholkar & Bagozzi, 2002) is pleasant by itself and can add value to the customer experience, value that may be enhanced by the perception of being treated uniquely and in a personalised way.”
BackgroundE recruitment Technology Adoption among Generation Z Job Seekers
Jayabalan, N., Makhbul, Z. K. M., Siang, J. M. L. D., Radzi, N. A. B. H. A., & Anuar, M. A. B. (2019) · International Journal of Engineering and Advanced Technology · doi:10.35940/ijeat.b3065.129219 · Cited by 13
Predictors of Online Buying Behaviour
Khanna, S., Ghosh, N., Kumar, S., & William, R. M. (2024) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/979-8-3693-4453-8.ch014 · Cited by 12
How customers ‘learn’ to work for retailers
Cassidy, K. J., Baron, S., & Lu, X. (2015) · Journal of Marketing Management · doi:10.1080/0267257x.2015.1020329 · Cited by 12
“Research has also shown that the individual’s prior learning history and experience with the technology can impact attitudes and behaviour towards using new technologies including new types of SSTs such as SCOT (Dabholkar & Bagozzi 2002; Meuter et al., 2005).”
BackgroundEfficacy of the Technology Satisfaction Model (TSM)
Islam, A. Y. M. A., Leng, C. H., & Singh, D. (2015) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2015040103 · Cited by 13
Promotional messages in multichannel banking: Attractive or annoying?
Sunikka, A., & Bragge, J. (2009) · Journal of Financial Services Marketing · doi:10.1057/fsm.2009.22 · Cited by 12
Walker, R., & Francis, H. (2003) · Australasian Marketing Journal (AMJ) · doi:10.1016/s1441-3582(03)70126-8 · Cited by 19
Miyazaki, A. D., Lassar, W. M., & Taylor, K. A. (2007) · Journal of Services Marketing · doi:10.1108/08876040710824870 · Cited by 12
Usabilidad y satisfacción en herramientas de anotaciones multimedia para MOOC
Moya, J. J. M., Robles, D. C., & Desenne, P. (2015) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.3916/c44-2015-06 · Cited by 11
Learning to be consumers of “smart” retail channels: The baby boomer experience
Robichaud, Z., & Yu, H. X. (2023) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2023.2218394 · Cited by 11
Is it all about fun? Self-service technology acceptance in Germany
Reid, S. A., Vetter, G., Lackes, R., & Siepermann, M. (2024) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2024.2342795 · Cited by 11
“…2008), railway ticketing machines (e.g. Reinders, Dabholkar, and Frambach 2008), restaurant reservation systems (e.g. Collier and Kirmes 2012; Dabholkar and Bagozzi 2002), hotel check-out systems (e.g. Rosenbaum and Wong 2015), season ticket passes (e.g. Robertson et al. 2016) or failure…”
BackgroundBassiouni, D. H., & Meshreki, H. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2443 · Cited by 11
Kim, H. S., & Choi, B. (2024) · European Journal of Marketing · doi:10.1108/ejm-06-2023-0504 · Cited by 12
Chen, T., Liu, F., Shen, X., Wu, J., & Liu, Y. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-03-2024-0251 · Cited by 11
Consumer Emotions and Personality Traits in Augmented Reality
Soon, P., & Lim, W. M. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.70000 · Cited by 11
A New Conceptual Framework to Evaluate Consumer Adoption of Mobile Services: The Case of Mobile TV
Borges, M. S., Rita, P., & Pagani, M. (2011) · International Conference on Mobile Business · doi:10.1109/icmb.2011.49 · Cited by 11
What Are Basic Human Needs? A Challenge to the Self-Determination Theory in the SST Context
Leung, L. S. K. (2019) · Psychology · doi:10.4236/psych.2019.107063 · Cited by 12
“Ease of use is also viewed as the degree of complication and confusion of using the SST in library self-checkouts (Dabholkar & Bagozzi, 2002; Zhao, Mattila, & Tao, 2008).”
BackgroundMethodInfluentialder Linden, S. V., Nimmegeers, S., Geskens, K., & Weijters, B. (2020) · Journal of service management · doi:10.1108/josm-10-2018-0346 · Cited by 11
Jain, S., & Nair, S. K. (2020) · International journal of organizational analysis · doi:10.1108/ijoa-07-2020-2330 · Cited by 16
Ruan, Q., Li, M., Abas, W. A. B. W., et al. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2265734 · Cited by 11
“Overall, improving task routineness inhibits technology functionality’s positive effect on customer electronic service quality satisfaction (Dabholkar & Bagozzi, 2002; Lee & Lyu, 2019; Peng & Han, 2011; Tao & Xu, 2012).”
Mobile Travel Services: The Effect of Moderating Context Factors
Bouwman, H., Carlsson, C. P. O., López‐Nicolás, C., McKenna, B., Molina‐Castillo, F., Tuunanen, T., & Walden, P. (2011) · Information Technology & Tourism · doi:10.3727/109830512x13258778487272 · Cited by 11
Relationship disconnect in retail banking
Durkin, M., O’Donnell, A., & Crowe, J. (2008) · Journal of Financial Services Marketing · doi:10.1057/palgrave.fsm.4760080 · Cited by 11
Exploring the Impact of Cultural Value Orientations on Market Mavenism and Opinion Leadership
Zhang, J., & Lee, W. (2013) · Journal of Promotion Management · doi:10.1080/10496491.2013.829155 · Cited by 11
Liu, J.-Y., & Liu, J. (2008) · International Conference on Wireless Communications, Networking and Mobile Computing · doi:10.1109/wicom.2008.1981 · Cited by 12
Understanding Personal Mobile Technologies: Decomposing and De-Averaging the Value of a Smartphone
Arbore, A., Graziani, R., & Venturini, S. (2013) · Journal of Information Systems · doi:10.2308/isys-50668 · Cited by 11
Understanding Customers’ Continuance Intentions Toward In-Lobby Self-Service Technologies
Li, M., & Huang, S. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00332 · Cited by 11
Value co-production made easy: the role of fantastical thinking
Addis, M., Miniero, G., & Ricotta, F. (2020) · European Journal of Marketing · doi:10.1108/ejm-09-2018-0610 · Cited by 13
What leads to value co-creation in reward-based crowdfunding? A person-environment fit perspective
Su, L., Cheng, X., Hua, Y., & Zhang, W. (2021) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2021.102297 · Cited by 11
Readiness factor identification Bandung city MSMEs use blockchain technology
Wahyuni, A. E., Juraida, A., & Anwar, A. S. (2021) · Jurnal Sistem dan Manajemen Industri · doi:10.30656/jsmi.v5i2.2787 · Cited by 11
“The role of technology influences the intention and behaviour of individuals in adopting technology [33].”
BackgroundVerma, A., & Bala, K. (2022) · Management and Labour Studies · doi:10.1177/0258042x221106602 · Cited by 14
“Before the accomplishment of the multi-group analysis, measurement invariance of complex models is necessary to pretest so that there is no measurement error and changes in the beta are due to group differences (Dabholkar & Bagozzi, 2002).”
MethodCitizen-centric e-government performance: satisfaction with e-information
Chen, Y. C., & Zhang, J. C. (2012) · Electronic Government an International Journal · doi:10.1504/eg.2012.049726 · Cited by 12
Chan, C., & Lin, C.-L. (2009) · International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) · doi:10.1109/iih-msp.2009.115 · Cited by 11
Jackson, T., Parboteeah, P., & Metcalfe-Poulton, S. (2014) · International Journal of Marketing Studies · doi:10.5539/ijms.v6n2p15 · Cited by 15
“Consumers with a greater self-efficacy may have more confidence in their ability to use SST’s (Dabholkar & Bagozzi, 2002), and therefore they may be more likely to use SCO than those consumers with less confidence in their ability.”
BackgroundMethodInfluentialXu, Z., & Yuan, Y. (2007) · doi:10.1109/icmb.2007.72 · Cited by 11
Internet Banking and the Impact of Seller Support and Third Party
Nilsson, D. (2007) · The Journal of Internet Banking and Commerce · Cited by 11
Diversity As Technology: A New Perspective
Daniel, F. (2011) · Journal of Diversity Management (JDM) · doi:10.19030/jdm.v6i2.5483 · Cited by 11
Customer productivity in technology-based self-service of virtual golf simulators
Kim, T., Seo, H.-M., Kim, M. C., et al. (2014) · International Journal of Sports Marketing and Sponsorship · doi:10.1108/ijsms-16-01-2014-b003 · Cited by 11
Liao, Y., Nguyen, H.-L. T., Dao, T. C., Nguyen, P.-T. T., & Sophea, H. (2023) · Journal of Financial Services Marketing · doi:10.1057/s41264-023-00254-4 · Cited by 10
Ahmed, S., Saad, A. T., Chowdhury, S. R., Sobhani, F. A., Hassan, M. S., & Islam, M. A. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2380018 · Cited by 10
The Virtual Store: A New Shopping Channel That Generates Value and Well‐Being for Gen Z Customers
Lombart, C., Untilov, O., Charton‐Vachet, F., & Louis, D. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.2480 · Cited by 12
Investigating Service Quality Initiatives of Pakistani Commercial Banks
Raza, S. A., Zia, S. A., Naqvi, S. A. H., et al. (2012) · International Business Research · doi:10.5539/ibr.v5n3p107 · Cited by 10
Consumer acceptance on mobile shopping of textile goods in Austria
Hyben, B., Mladenow, A., Novak, N. M., & Strauß, C. (2015) · International Conference on Advances in Mobile Computing and Multimedia (MoMM) · doi:10.1145/2837126.2914399 · Cited by 10
Factors Affecting the Online Travel Purchasing Decision: An Integration of Fuzzy Logic Theory
Labti, O., & Belkadi, E. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-33-4355-9_7 · Cited by 10
Huang, Y., Pan, L., Wang, Y., Yan, Z., Chen, Y., Hao, X., & Xia, T. (2023) · Sustainability · doi:10.3390/su151813529 · Cited by 21
The Impact of Perceived Risk and Technology Acceptance Model on Gen Z’s Adoption of Digital Banking
Julia, L., Linggam, P. S., Hibatullah, R., & Justianto, J. S. (2023) · WSEAS TRANSACTIONS ON COMPUTER RESEARCH · doi:10.37394/232018.2024.12.1 · Cited by 10
THE ROLE OF SERVICE AGENT , SERVICE QUALITY , AND USER SATISFACTION IN SELF -SERVICE TECHNOLOGY
Yan, A., Solomon, S. C., Mirchandani, D. A., et al. (2013) · Cited by 10
User-generated content (UGC) in tourism: Benefits and concerns of online consumers
Verhagen, T., Feldberg, F., van den Hooff, B., et al. (2009) · Journal of the Association for Information Systems · Cited by 10
Quality assurance practices for competitive data warehouse management systems
Smith, A. D. (2011) · International Journal of Business Information Systems · doi:10.1504/ijbis.2011.040567 · Cited by 10
The moderating role of national cultural values in smoking cessation
Hassan, L. M., & Shiu, E. M. K. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.03.017 · Cited by 10
“In line with Dabholkar and Bagozzi (2002), these two items capture the participants’ confidence in being able to stop smoking within the next three months (7-point scale from 0 “not confident at all” to”
BackgroundThe Influence of User’s Trait on Public e-Service Usage: A Self-Service Technology Perspective
Chang, C.-H. (2011) · Asian Social Science · doi:10.5539/ass.v7n7p3 · Cited by 10
Determinan Electronic Loyalty (e-Loyalty) Pada Website
Antarwiyati, P., Nurhakim, A. L., & Kusuma, H. (2010) · Jurnal Akuntansi & Auditing Indonesia · Cited by 10
Investigating the Roles of Mobile Commerce and Mobile Payment in Global Business
Kasemsap, K. (2016) · Advances in e-business research series · doi:10.4018/978-1-5225-0236-4.ch001 · Cited by 10
The Psychology of Queuing for Self-Service: Reciprocity and Social Pressure
Kim, H., Lee, Y., & Park, K. S. (2018) · Administrative Sciences · doi:10.3390/admsci8040075 · Cited by 10
“Dabholkar and Bagozzi (2002) suggested different Adm. Sci. 2018, 8, 75 3 of 15 aspects of SST should be promoted according to the characteristics of their target customers.”
BackgroundAntecedents of Luxury Brand Consumption: An Emerging Market Context
Tak, P. (2020) · Asian Journal of Business Research · doi:10.14707/ajbr.200082 · Cited by 10
(2013) · Journal of electronic commerce research · Cited by 232
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 ›
Are you an author, or do you see a problem with this page? Request a review