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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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 501–600 of 1,000
L’analyse des effets de médiation modérée : Applications en marketing
Borau, S., Akremi, A. E., Elgaaïed‐Gambier, L., Hamdi‐Kidar, L., & Ranchoux, C. (2015) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/0767370115585307 · Cited by 63
Guo, L., Wei, Y., Sharma, R., & Ke, R. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.01.021 · Cited by 43
Khaksar, S. M. S., Khosla, R., Singaraju, S., & Slade, B. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1690046 · Cited by 47
Marchiori, D. M., Popadiuk, S., Mainardes, E. W., & Rodrigues, R. G. (2020) · Scientometrics · doi:10.1007/s11192-020-03753-6 · Cited by 48
The Adoption of Information Technology by Self-Managing Service Teams
de Jong, A., de Ruyter, K., & Lemmink, J. G. A. M. (2003) · Journal of Service Research · doi:10.1177/1094670503257046 · Cited by 48
Othman, A. K., Hamzah, M. I., & Hassan, L. F. A. (2020) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2019-0295 · Cited by 50
Service innovation and usage intention: a cross-market analysis
Chiu, Y. H., & Hofer, K. M. (2015) · Journal of service management · doi:10.1108/josm-10-2014-0274 · Cited by 47
Situational influences on service quality evaluations
Strombeck, S. D., & Wakefield, K. L. (2008) · Journal of Services Marketing · doi:10.1108/08876040810889175 · Cited by 47
Enriching m-banking perceived value to achieve reuse intention
Prodanova, J., Ciunova-Shuleska, A., & Palamidovska-Sterjadovska, N. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-11-2018-0508 · Cited by 48
Effects of Corporate Social Responsibility on consumer brand loyalty
Rivera, J., Alcañiz, J. E. B., & Pérez, R. C. (2019) · Review of Business Management · doi:10.7819/rbgn.v21i3.4003 · Cited by 53
“Brand attitude was measured on a 5-item scale based on Dabholkar and Bagozzi (2002).”
MethodThe influence of social commerce on eco‐friendly consumer behavior: Technological and social roles
Gao, B., Li, Z., & Yan, J. (2022) · Journal of Consumer Behaviour · doi:10.1002/cb.2022 · Cited by 52
Lin, C., Shih, H., Sher, P. J.-H., & Wang, Y.-L. (2005) · Portland International Conference on Management of Engineering and Technology (PICMET) · doi:10.1109/picmet.2005.1509728 · Cited by 46
Mimoun, M. S. B., Miltgen, C. L., & Slama, B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102844 · Cited by 47
How knowledge sharing leads to innovative work behaviour
Phung, V. D., Hawryszkiewycz, I. T., & Chandran, D. (2019) · Journal of Systems and Information Technology · doi:10.1108/jsit-11-2018-0148 · Cited by 55
Zhang, J., Xu, S.-C., He, Z., Li, C., & Meng, X.-N. (2022) · Sustainability · doi:10.3390/su14105777 · Cited by 51
Duarte, P., Silva, S. C. L. D. C. E., Linardi, M. A., & Novais, B. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2022-0164 · Cited by 46
Do, H., Ko, E., & Woodside, A. G. (2015) · International Journal of Advertising · doi:10.1080/02650487.2015.1031062 · Cited by 45
Understanding Channel Purchase Intentions: Measuring Online and Offline Shopping Value Perceptions
Broekhuizen, T. (2008) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 45
The three-stage model of service consumption
Tsiotsou, R. H., & Wirtz, J. (2015) · Edward Elgar Publishing eBooks · doi:10.4337/9781781000410.00015 · Cited by 45
“…kind of SST. Consumer characteristics such as a lack of confidence, anxiety, technology-related attitudes, and self-efficacy might inhibit the use of SSTs and successful co-production, especially in complex services (Boyle, Clarke and Burns 2006; Dabholkar and Bagozzi 2002; Meuter et al. 2000).”
MethodTechnology readiness and satisfaction in Vietnam's luxury hotels
Huy, L. V., Nguyen, P. T. H., Pham, L. K., et al. (2019) · International Journal of Management and Decision Making · doi:10.1504/ijmdm.2019.098648 · Cited by 45
Kim, J. J., Ariza‐Montes, A., & Han, H. (2021) · Sustainability · doi:10.3390/su13041698 · Cited by 45
“In addition, various situational factors play an important moderating role in the development of the individuals’ acceptance behavior, which applies in the area of technology adoption [29,45].”
BackgroundInfluentialGümüş, N., & Çark, Ö. (2021) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.19.3.6 · Cited by 45
Recasting Service Quality for AI-Based Service
Noor, N., Hill, S. R., & Troshani, I. (2021) · Australasian Marketing Journal (AMJ) · doi:10.1177/18393349211005056 · Cited by 51
“In terms of situational factors, first, informants indicated that time pressures and the perceived urgency of the service may affect their future decisions about the use of AISA, including chatbots and virtual assistants (Dabholkar & Bagozzi, 2002).”
BackgroundHateftabar, F. (2022) · Current Issues in Tourism · doi:10.1080/13683500.2022.2071682 · Cited by 45
“Dabholkar and Bagozzi (2002) found personal innovativeness to be a moderator construct on the antecedents and consequences of perceptions in information technology.”
BackgroundKieanwatana, K., & Vongvit, R. (2024) · Results in Engineering · doi:10.1016/j.rineng.2024.103650 · Cited by 75
Handrich, M., & Heidenreich, S. (2013) · International Journal of Innovation Management · doi:10.1142/s1363919613500114 · Cited by 44
Kwon, Y., & Kwak, D. H. (2014) · Sport Marketing Quarterly · doi:10.1177/106169341402300206 · Cited by 44
“Following the procedure outlined by Dabholkar and Bagozzi (2002) and Homburg and Giering (2001), in the first step, an overall chi-square difference test for each of the moderator variables (product category and performance priming) was conducted.”
Analysing moderated mediation effects: Marketing applications
Borau, S., Akremi, A. E., Elgaaïed‐Gambier, L., Hamdi‐Kidar, L., & Ranchoux, C. (2015) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570715606278 · Cited by 53
“It is also possible to use structural equations to simultaneously test an overall model of moderated mediation (Dabholkar and Bagozzi, 2002; Hayes and Preacher, 2013).”
BackgroundE-Government service delivery by a local government agency: The case of E-Licensing
Chelliah, P. P. M., Ramayah, T., Alzahrani, A. I., Alfarraj, O., & Alalwan, N. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2016.02.003 · Cited by 44
System 1 and System 2 cognition in the decision to adopt and use a new technology
Khatri, V., Samuel, B. M., & Dennis, A. R. (2018) · Information & Management · doi:10.1016/j.im.2018.03.002 · Cited by 43
The determinants of foreign product preference amongst elite consumers in an emerging market
Rodrigo, P., Khan, H., & Ekinci, Y. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.04.012 · Cited by 44
Chou, C. Y., Huang, C. H., & Lin, T.-A. (2018) · Service Business · doi:10.1007/s11628-018-0387-4 · Cited by 43
Factors Affecting Continued Usage of Internet Banking Among Egyptian Customers
Kasheir, D. E., Ashour, A. S., & Yacout, O. M. (2009) · Communications of the IBIMA · Cited by 44
The Impact of Social Presence on Technology Based Self-Service Use: The Role of Familiarity
Kinard, B. R., Capella, M. L., & Kinard, J. (2009) · Services Marketing Quarterly · doi:10.1080/15332960902993593 · Cited by 44
The moderating role of customer–technology contact on attitude towards technology-based services
Theotokis, A., Vlachos, P. A., & Pramatari, K. C. (2008) · European Journal of Information Systems · doi:10.1057/ejis.2008.32 · Cited by 44
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Rahman, S. M., Carlson, J., Gudergan, S. P., Wetzels, M. G. M., & Grewal, D. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115196 · Cited by 78
Firm self-service technology readiness
Ramaseshan, B., Kingshott, R. P. J., & Stein, A. (2015) · Journal of service management · doi:10.1108/josm-08-2014-0216 · Cited by 42
“Whilst SST literature draws upon a number of theoretical foundations (e.g. Dabholkar and Bagozzi, 2002; Zhu et al., 2007), we ground our research in socio-technical systems theory (Pasmore, 1988; Pasmore and Sherwood, 1978).”
Background“Buyer's motivation” for online buying: an empirical case of railway e-ticketing in Indian context
Sahney, S., Ghosh, K., & Shrivastava, A. (2013) · Journal of Asia Business Studies · doi:10.1108/jabs-07-2011-0036 · Cited by 44
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Li, M., Choi, T. Y., Rabinovich, E., & Crawford, A. (2012) · Production and Operations Management · doi:10.1111/j.1937-5956.2012.01321.x · Cited by 43
Zhang, H., Ko, E., & Kim, K. H. (2010) · Journal of Global Fashion Marketing · doi:10.1080/20932685.2010.10593063 · Cited by 43
Andreassen, T. W., & Streukens, S. (2013) · Managing Service Quality · doi:10.1108/09604521311287632 · Cited by 45
The multichannel customer’s service experience: building satisfaction and trust
Sabiote, E. F., & Román, S. (2015) · Service Business · doi:10.1007/s11628-015-0276-z · Cited by 45
Juntunen, A., Luukkainen, S., & Tuunainen, V. K. (2010) · doi:10.1109/icmb-gmr.2010.69 · Cited by 43
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Cserdi, Z. H., & Kenesei, Z. (2020) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2020.100611 · Cited by 46
Ayodeji, Y., Rjoub, H., & Özgit, H. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102106 · Cited by 42
Exploring factors influencing educators’ adoption of ChatGPT: a mixed method approach
Hidayat-ur-Rehman, I., & Ibrahim, Y. (2023) · Interactive Technology and Smart Education · doi:10.1108/itse-07-2023-0127 · Cited by 59
Tsao, W.-Y. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.08.011 · Cited by 42
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Xu, Z., & Yuan, Y. (2009) · International Journal of Mobile Communications · doi:10.1504/ijmc.2009.023677 · Cited by 42
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Tangsupwattana, W., & Liu, X. (2017) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-01-2017-0013 · Cited by 43
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Blinda, K., Schnittka, O., Sattler, H., & Gräve, J.-F. (2019) · Journal of Services Marketing · doi:10.1108/jsm-07-2018-0196 · Cited by 43
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Pallant, J. L., Sands, S., & Karpen, I. O. (2020) · Journal of Services Marketing · doi:10.1108/jsm-04-2019-0176 · Cited by 54
Liu, C., & Hung, K. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.102870 · Cited by 48
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Naz, R. (2009) · Journal of Service Science and Management · doi:10.4236/jssm.2009.23023 · Cited by 42
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Shin, D. (2010) · International Journal of Human-Computer Interaction · doi:10.1080/10447310903575473 · Cited by 41
RetractedAntecedents of Technology-Based Self-Service Acceptance: A Proposed Model
Oghazi, P., Mostaghel, R., Hultman, M., et al. (2012) · Services Marketing Quarterly · doi:10.1080/15332969.2012.689937 · Cited by 41
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Kaura, V., Prasad, C. S. D., & Sharma, S. (2014) · Management and Labour Studies · doi:10.1177/0258042x14558188 · Cited by 41
“But, now technology has remarkable influence on the growth of service delivery options (Dabholkar and Bagozzi, 2002).”
BackgroundConsumers who avoid relationships: social anxiety in commercial contexts
Delacroix, É., & Guillard, V. (2016) · Journal of Consumer Behaviour · doi:10.1002/cb.1582 · Cited by 46
The adoption of self-service kiosks in quick-service restaurants
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Celuch, K. G., & Goodwin, S. A. (2004) · RePEc: Research Papers in Economics · Cited by 41
Interaction fluency: a customer performance measure of multichannel service
Cassab, H., & MacLachlan, D. L. (2006) · International Journal of Productivity and Performance Management · doi:10.1108/17410400610702151 · Cited by 41
Shiau, W.-L., Liu, C., Zhou, M., & Yuan, Y. (2023) · Internet Research · doi:10.1108/intr-08-2021-0629 · Cited by 32
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“Previous research demonstrates that moderating factors such as product knowledge may enhance the explanatory power of the empirical models (Dabholkar and Bagozzi, 2002; Carlson et al, 2007).”
BackgroundCreating innovation that drives authenticity
Keiningham, T. L., He, Z., Hillebrand, B., Jang, J., Suess, C., & Wu, L. L. (2019) · Journal of service management · doi:10.1108/josm-12-2018-0383 · Cited by 42
Kim, C. G., Costello, F. J., & Lee, K. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01664 · Cited by 45
Consumer participation in virtual communities: The role of personal values and personality
Mai, H., & Olsen, S. (2015) · Journal of Marketing Communications · doi:10.1080/13527266.2012.736086 · Cited by 33
“Researchers in the area found a positive influence of consumers’ attitude on behavioural intention towards using self-service technologies (e.g. Curran, Meuter, and Surprenant 2003; Dabholkar and Bagozzi 2002; Lanseng and Andreassen 2007) and food preparation (Xie, Bagozzi, and Troye 2008).”
BackgroundResultInfluentialAn Investigation of Factors Affecting Usage and Adoption of Internet & Mobile Banking In Pakistan
Mazhar, F., Rizwan, M., Fiaz, U., Ishrat, S., Razzaq, M. S., & Khan, T. N. (2014) · International Journal of Accounting and Financial Reporting · doi:10.5296/ijafr.v4i2.6586 · Cited by 40
The Role of Internal Branding in Nonprofit Brand Management
Liu, G., Chapleo, C., Ko, W. W., & Ngugi, I. K. (2013) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/0899764013511303 · Cited by 39
“To test this, we adopt the method suggested by Dabholkar and Bagozzi (2002) for a median split (high and low charismatic leadership, respectively) and compare both groups using structural equation modeling (see Table 4).”
BackgroundMethodYang, Y., Stafford, T. F., & Gillenson, M. L. (2011) · European Journal of Information Systems · doi:10.1057/ejis.2010.69 · Cited by 40
Customers' Perspectives of Service Quality in Internet Banking
Ramseook‐Munhurrun, P., & Naidoo, P. (2011) · Services Marketing Quarterly · doi:10.1080/15332969.2011.606753 · Cited by 39
What Fosters Favorable Attitudes Toward Using Travel Mobile Applications?
Im, J., & Hançer, M. (2016) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2017.1248805 · Cited by 39
Lee, H., & Yi, Y. (2021) · Psychology and Marketing · doi:10.1002/mar.21628 · Cited by 41
Naidoo, R. M., & Leonard, A. (2007) · South African Journal of Business Management · doi:10.4102/sajbm.v38i3.587 · Cited by 39
Technical and functional determinants of customer satisfaction in the bank‐SME relationship
Lundahl, N., Vegholm, F., & Silver, L. (2009) · Managing Service Quality · doi:10.1108/09604520910984382 · Cited by 39
Yi, Y., Tung, L. L., & Wu, Z. (2003) · Journal of the Association for Information Systems · Cited by 39
Perceived Value of Mobile Service Use and its Consequences
Pihlström, M. (2008) · Työväentutkimus Vuosikirja · Cited by 39
Ganjipour, H., & Edrisi, A. (2022) · Transportation Letters · doi:10.1080/19427867.2022.2035130 · Cited by 38
“Like different studies (Dabholkar and Bagozzi 2002; Meuter et al. 2005; LEE and J 2016), the need for human interaction had a negative and significant effect on the buyers; intention to use this system (H12).”
BackgroundConsumers’ intention to use health recommendation systems to receive personalized nutrition advice
Wendel, S., Dellaert, B. G. C., Ronteltap, A., & van Trijp, J. C. M. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-126 · Cited by 40
Mobile Technology: An Exploratory Study of Hotel Managers
Kim, J. S., Connolly, D. J., & Blum, S. C. (2014) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2014.961795 · Cited by 38
Student Participation in Academic Advising: Propensity, Behavior, Attribution and Satisfaction
Braun, J., & Zolfagharian, M. (2016) · Research in Higher Education · doi:10.1007/s11162-016-9414-2
Zainuddin, N., Dent, K., & Tam, L. (2017) · Journal of Marketing Management · doi:10.1080/0267257x.2017.1301532 · Cited by 39
“Technology self-efficacy has been demonstrated as an important cognitive construct encouraging consumer adoption of technology-based augmented products (e.g. Dabholkar & Bagozzi, 2002; van Beuningen, de Ruyter, & Wetzels, 2011; Schuster et al., 2013).”
BackgroundRETRACTED: An empirical investigation of tourist’s choice of service delivery options
Kaushik, A. K., & Rahman, Z. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2015-0438 · Cited by 38
RetractedElectronic Word of Mouth engagement in social commerce platforms: An empirical study
Ali, Y. S., Hussin, A. R. C., & Dahlan, H. M. (2019) · Information Development · doi:10.1177/0266666919867488 · Cited by 38
“Innovative consumers are very much more likely to favourably consider new products or services and be encouraged to use such (Dabholkar and Bagozzi 2002).”
BackgroundExplaining tourist behavioral loyalty toward mobile apps
García, J. A. C., Martínez-Heredia, M.-J., & Molina, M. Á. R. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-08-2017-0057 · Cited by 39
Kosiba, J. P., Acheampong, A., Adeola, O., et al. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102033 · Cited by 38
Lee, Y., Choi, S., & Field, J. M. (2020) · Operations Management Research · doi:10.1007/s12063-020-00161-0 · Cited by 44
Internet Lottery Commerce: An Integrated View of Online Sport Lottery Adoption
Chiu, Y.-T. H., Lee, W.-I., Liu, C.-C., & Liu, L.-Y. (2012) · Journal of Internet Commerce · doi:10.1080/15332861.2012.650990 · Cited by 37
Ramanathan, U., Win, S., & Wien, A. (2018) · Benchmarking An International Journal · doi:10.1108/bij-12-2016-0194 · Cited by 37
Thomas, S., Eastman, J. K., Shepherd, C. D., et al. (2018) · The International Journal of Logistics Management · doi:10.1108/ijlm-10-2016-0238 · Cited by 37
“Written scenarios are often used in experimental designs to operationalize the independent variables and to facilitate role playing (Pilling et al., 1994; Dabholkar and Bagozzi, 2002).”
The democratization of intangible luxury
Ramadan, Z. B. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-11-2018-0490 · Cited by 37
Investigating the psychometric properties of the Speech User Interface Service Quality questionnaire
Lewis, J. R., & Hardzinski, M. L. (2015) · International Journal of Speech Technology · doi:10.1007/s10772-015-9289-1 · Cited by 37
“…in marketing and inter-personal communication studies for using third-party observers to provide ratings of sentiments (e.g., Cargile et al. 1994; Dabholkar and Bagozzi 2002; Patterson 1996), Polkosky stated: One of the most important limitations of the present research was the use of observers…”
BackgroundSelf‐service technology for sales purposes in branch banking
Berger, S. C. (2009) · International Journal of Bank Marketing · doi:10.1108/02652320911002322 · Cited by 39
Dickinger, A., Arami, M., & Meyer, D. (2006) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2006.410 · Cited by 37
The value of human interaction in service channels
Immonen, M., Sintonen, S., & Koivuniemi, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.005 · Cited by 38
The Effects of Technology Readiness on Customer Perceived Value: An Empirical Analysis
Yieh, K., Chen, J.-S., & Wei, M. B. (2012) · Journal of Family and Economic Issues · doi:10.1007/s10834-012-9314-3 · Cited by 36
Fostering older adult care experiences to maximize well-being outcomes
Kabadayi, S., Hu, K., Lee, Y., Hanks, L., Walsman, M., & Dobrzykowski, D. D. (2020) · Journal of service management · doi:10.1108/josm-11-2019-0346 · Cited by 42
Driving users’ behaviours and engagement in co-creating services
Oertzen, A.-S., Odekerken‐Schröder, G., & Mager, B. (2020) · Journal of Services Marketing · doi:10.1108/jsm-06-2019-0244 · Cited by 36
Tsai, H.-Y., Lee, Y.-P., & Ruangkanjanases, A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.579322 · Cited by 41
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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