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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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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 401–500 of 1,000
Too busy to help: Antecedents and outcomes of interactional justice in web-based service encounters
Turel, O., & Connelly, C. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.005 · Cited by 68
Augmented reality and motion capture apparel e-shopping values and usage intention
Kang, J. M. (2014) · International Journal of Clothing Science and Technology · doi:10.1108/ijcst-05-2013-0055 · Cited by 69
The impacts of e-service quality on customer behaviour in multi-channel e-services
Sousa, R. S., & Voss, C. (2012) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2012.661139 · Cited by 66
Co-production and self-service: The application of Service-Dominant Logic
Hilton, T., & Hughes, T. (2012) · Journal of Marketing Management · doi:10.1080/0267257x.2012.729071 · Cited by 65
Psychological antecedents and risk on attitudes toward e-customization
Park, J., Han, H., & Park, J. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2013.05.048 · Cited by 65
Co-creating value with customers: a study of mobile hotel bookings in China
Wu, J. S., Law, R., & Liu, J. (2018) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2016-0476 · Cited by 69
“As suggested by Dabholkar and Bagozzi (2002), the total sample was divided into two groups based on a median split: low OCIV and high OCIV group.”
MethodAttitude toward luxury cruise, fantasy, and willingness to pay a price premium
Ioana-Daniela, S., Lee, K., Kim, I., Kang, S., & Hyun, S. S. (2018) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2018.1433699 · Cited by 71
“Novelty seeking individuals feature more favorable attitudes toward beliefs about the ease of use or performance of the product (Dabholkar & Bagozzi, 2002).”
BackgroundThe Effects of Service and Consumer Product Knowledge on Online Customer Loyalty
Xu, D. J., Benbasat, I., & Cenfetelli, R. T. (2011) · Journal of the Association for Information Systems · doi:10.17705/1jais.00279 · Cited by 65
Sugathan, P., Ranjan, K. R., & Mulky, A. G. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.01.002 · Cited by 66
The role of prosocial and proactive personality in customer citizenship behaviors
Choi, L., & Hwang, J. (2019) · Journal of Consumer Marketing · doi:10.1108/jcm-01-2018-2518 · Cited by 64
Akinbadewa, B. O., & Sofowora, O. A. (2020) · International Journal on Studies in Education · doi:10.46328/ijonse.19 · Cited by 64
“Past researches indicated that attitude was influenced by both perceived ease of use and perceived usefulness (Dabholkar & Bagozzi, 2002; Hussein, 2017; Weng, Yang, Ho, & Su, 2018; Teo, Zhou, Fan, & Huang, 2019).”
BackgroundEffects of Social Influence and Perceived Enjoyment on Kiosk Acceptance: A Moderating Role of Gender
Joe, S., Kim, J. S., & Zemke, D. M. V. (2020) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2020.1746217 · Cited by 63
“In particular, Dabholkar and Bagozzi (2002) insist that “fun” is a driver of certain attitudes toward new technology.”
BackgroundSelf‐efficacy and callousness in consumer judgments of AI‐enabled checkouts
van Esch, P., Cui, Y. G., & Jain, S. P. (2021) · Psychology and Marketing · doi:10.1002/mar.21494 · Cited by 63
Kim, S., Connerton, T. P., & Cheongyeul, P. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.09.070 · Cited by 64
Roca, M. D. L., Morales, M., García‐Cabot, A., García‐López, E., & Amado-Salvatierra, H. R. (2024) · Computer Applications in Engineering Education · doi:10.1002/cae.22750 · Cited by 76
Customer‐employee relationship
Jamal, A., & Adelowore, A. (2008) · European Journal of Marketing · doi:10.1108/03090560810903691 · Cited by 68
Examining Factors Affecting Customer Intention And Adoption Of Internet Banking In Jordan
Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2014) · Journal of the Association for Information Systems · Cited by 63
Anıtsal, İ., & Schumann, D. W. (2007) · The Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679150405 · Cited by 63
An examination of consumers ' resistance to computer-based technologies
Patsiotis, A. G., Hughes, T., & Webber, D. J. (2013) · Journal of Services Marketing · doi:10.1108/08876041311330771 · Cited by 61
Are logistics outsourcing partners more integrated in a more volatile environment?
Yang, Q., & Zhao, X. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.09.036 · Cited by 64
Eastlick, M. A., Ratto, C., Lotz, S. L., & Mishra, A. (2012) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2012.690775 · Cited by 63
Assessing the effects of consumer involvement and service quality in a self-service setting
Lee, W., Chiu, Y. H., Liu, C.-C., et al. (2011) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20253 · Cited by 62
Feeling Manipulated: How Tip Request Sequence Impacts Customers and Service Providers?
Warren, N. B., Hanson, S., & Yuan, H. (2020) · Journal of Service Research · doi:10.1177/1094670519900553 · Cited by 62
“Our exploration of tip sequence echoes the limited work demonstrating that technology-facilitated services can hurt service providers, particularly when the technology is unfamiliar or feels forced (Dabholkar and Bagozzi 2002; Reinders, Dabholkar, and Frambach 2008).”
BackgroundEffect of Personal Innovativeness on Technology Adoption in Hospitality and Tourism: Meta-analysis
Ciftci, O., Berezina, K., & Kang, M. (2021) · Springer eBooks · doi:10.1007/978-3-030-65785-7_14 · Cited by 64
The role of perceived social media agility in customer engagement
Gligor, D. M., & Bozkurt, S. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-12-2019-0196 · Cited by 73
Metaverse mingle: Discovering dating intentions in metaverse
Chakraborty, D., Patre, S., & Tiwari, D. A. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103509 · Cited by 62
Hau, L. N., & Thúy, P. N. (2015) · Service Business · doi:10.1007/s11628-015-0285-y · Cited by 62
“This means a fun and enjoyable exchange experience could be created by customers’ participation as their role shifts from passive receivers to active co-producers of value (Dabholkar and Bagozzi 2002; Vargo and Lusch 2004).”
BackgroundDoes Context Matter? The Impact of Use Context on Mobile Internet Adoption
Yang, S., Lu, Y., Gupta, S., & Cao, Y. (2012) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.627299 · Cited by 62
Sustaining Online Shopping: Moderating Role of Online Shopping Motives
Liu, C., & Forsythe, S. M. (2010) · Journal of Internet Commerce · doi:10.1080/15332861.2010.503848 · Cited by 67
Consumer Behavior in Green Marketing for Luxury Brand: A Cross-Cultural Study of US, Japan and Korea
Park, J., Ko, E., & Kim, S. (2010) · Journal of Global Academy of Marketing Science · doi:10.1080/12297119.2010.9707436 · Cited by 62
3D printing for congenital heart disease: a single site’s initial three-yearexperience
Ryan, J. R., Plasencia, J. D., Richardson, R. R., Velez, D. A., Nigro, J. J., Pophal, S. G., & Frakes, D. H. (2018) · 3D Printing in Medicine · doi:10.1186/s41205-018-0033-8 · Cited by 62
“Four questions, seen in Table 5, were established using a basic TAM model [40, 41].”
BackgroundMethodExamining the relationship between social media characteristics and psychological dispositions
Grace, D., Ross, M., & Shao, W. (2015) · European Journal of Marketing · doi:10.1108/ejm-06-2014-0347 · Cited by 64
Me, My Tourist-Self, and I: The Symbolic Consumption of Travel
Gazley, A., & Watling, L. (2015) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2014.954690 · Cited by 61
“Lastly, many consumers have a desire to seek out new stimuli (Hirschman, 1980), often referred to as “arousal seeking” (Mehrabian & Russell, 1973), “desire for change” (Kohn, Hunt, & Hoffman, 1982; or “desire for variety and novelty” (Dabholkar & Bagozzi, 2002; Rogers, 1979).”
BackgroundMethodReady, set, go: examining student readiness to use ERP technology
Shivers‐Blackwell, S. L., & Charles, A. C. (2006) · Journal of Management Development · doi:10.1108/02621710610684268 · Cited by 61
Turhan, G. (2012) · Journal of the Textile Institute · doi:10.1080/00405000.2012.736191 · Cited by 61
Gwebu, K. L., Wang, J., & Guo, L. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.08.004 · Cited by 60
“Researchers have long suggested that the identification of important mediators between predictors and outcomes is important for advancing theory because it helps uncover the underlying mechanisms through which predictors exert impacts on outcomes [5,18].”
BackgroundMakki, A. M., Ozturk, A. B., & Singh, D. (2016) · Journal of Foodservice Business Research · doi:10.1080/15378020.2016.1188646 · Cited by 62
“…consistent with prior research on the significance of self-efficacy in terms of consumers ’ behavioral intentions toward adopting a new technology (Dabholkar & Bagozzi, 2002; Ellen et al., 1991), the result of this study is unique in that the strength of the relationship was found to be weaker…”
BackgroundResultEarly Investigation of New Information Technology Acceptance: A Perceived Risk - Motivation Model
Cocosila, M., Archer, N., & Yuan, Y. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02530 · Cited by 61
Claffey, E., & Brady, M. (2019) · Journal of Marketing Management · doi:10.1080/0267257x.2019.1601125 · Cited by 68
“H3b (NegE) moderation. extant research has shown that emotions influence online consumer behaviour (Dabholkar & Bagozzi, 2002; Flavián-Blanco et al., 2011; Kulviwat, Bruner, Kumar, Nasco, & Clark, 2007; Xie, Bagozzi, & Troye, 2008), these findings are the first to provide statistical evidence…”
ResultFactors affecting institutional investors to add crypto-currency to asset portfolios
Sun, W., Dedahanov, A. T., Shin, H. Y., & Li, W. P. (2021) · The North American Journal of Economics and Finance · doi:10.1016/j.najef.2021.101499 · Cited by 65
Consumer views of self-service technologies
Cunningham, L. F., Young, C. E., & Gerlach, J. H. (2008) · Service Industries Journal · doi:10.1080/02642060801988522 · Cited by 60
Consumer acceptance of the mobile Internet
Koenigstorfer, J., & Groeppel‐Klein, A. (2012) · Marketing Letters · doi:10.1007/s11002-012-9206-1 · Cited by 60
Özkara, B. Y., Özmen, M., & Kim, J. W. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.038 · Cited by 60
“…Ha, Yoon, & Choi, 2007), attitude towards shopping channels on the Internet (Childers, Carr, Peck, & Carson, 2002), usage of technology-based services (Dabholkar & Bagozzi, 2002) and frequency of repeating the behavior (Deci, Koestner, & Ryan, 1999; Edward & Ryan, 1985; Liu and Forsythe, 2014).”
BackgroundExploring factors influencing US millennial consumers’ use of tap-and-go payment technology
Bailey, A. A., Pentina, I., Mishra, A. S., & Mimoun, M. S. B. (2019) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2019.1667854 · Cited by 66
“For example, the framework has been used in the investigation of the adoption of technology-based self-service (Dabholkar and Bagozzi 2002), mobile commerce (Wu and Wang 2005), e-business (Parker and Castleman 2009), mobile marketing (Sultan, Rohm, and Gao 2009), customer acceptance of cashless…”
MethodMore is not always better: The impact of value co‐creation fit on B2B and B2C customer satisfaction
Gligor, D. M., & Maloni, M. J. (2021) · Journal of Business Logistics · doi:10.1111/jbl.12278 · Cited by 59
Mosher, M. A., & Carreon, A. (2021) · Research in Learning Technology · doi:10.25304/rlt.v29.2626 · Cited by 60
“Attitudes towards specific technologies often correlate with the degree to which students and educators are willing to use the technology (Dabholkar and Bagozzi 2002).”
BackgroundCeluch, K. G., Goodwin, S. A., & Taylor, S. A. (2005) · Industrial Marketing Management · doi:10.1016/j.indmarman.2005.08.004 · Cited by 59
Gender differences in consumer evaluations of service quality: self-service kiosks in retail
Lee, H.-J., Fairhurst, A., & Cho, H. (2013) · Service Industries Journal · doi:10.1080/02642069.2011.614346 · Cited by 58
He, J., Wang, Y., Lin, G., Shi, G. J., & Yao, S. (2012) · Psychology and Marketing · doi:10.1002/mar.20516 · Cited by 59
An Empirical Analysis of Intentions to Cocreate Value in Hotels Using Mobile Devices
Morosan, C. V. (2015) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348015597034 · Cited by 59
“As a result, even in highly immersive technology environments, some consumers still express a need to interact with service staff (Dabholkar & Bagozzi, 2002).”
BackgroundMethodTechnology in use – characterizing customer self-service devices (SSDS)
Gummerus, J. K., Lipkin, M., Dube, A., & Heinonen, K. (2019) · Journal of Services Marketing · doi:10.1108/jsm-10-2018-0292 · Cited by 61
What Drives Motivation to Participate Financially in a Crowdfunding Community?Preprint
Harms, M. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2269242 · Cited by 62
Post‐adoption online shopping continuance
Liu, C., & Forsythe, S. M. (2010) · International Journal of Retail & Distribution Management · doi:10.1108/09590551011020110 · Cited by 58
Using performance measures conceptually in innovation control
Janssen, S., Möller, K., & Schläfke, M. (2011) · Journal of Management Control · doi:10.1007/s00187-011-0130-y · Cited by 58
Enhancing the smart tourism experience through geotag
Chung, N., Tyan, I., & Han, H. S. (2016) · Information Systems Frontiers · doi:10.1007/s10796-016-9710-6 · Cited by 58
“Early researchers state that self-efficacy and customer capability are main predictors of self-service technology adoption (Dabholkar and Bagozzi 2002; Walker et al. 2002).”
BackgroundMathew, S., Jose, A., Rejikumar, G., & Chacko, D. P. (2020) · Benchmarking An International Journal · doi:10.1108/bij-07-2019-0323 · Cited by 61
Consumer acceptance of self-service technologies in fashion retail stores
Park, J., Ha, S., & Jeong, S. W. (2020) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-09-2019-0221 · Cited by 66
Khare, A., Singh, S., & Khare, A. (2010) · Journal of Internet Commerce · doi:10.1080/15332861.2010.529054 · Cited by 59
Mandatory use of technology-based self-service: does expertise help or hurt?
Reinders, M. J., Frambach, R. T., & Kleijnen, M. H. P. (2015) · European Journal of Marketing · doi:10.1108/ejm-12-2012-0735 · Cited by 57
Self-congruity and flow as antecedents of attitude and loyalty towards a theme park brand
Fu, X., Kang, J., & Tasci, A. D. A. (2017) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2017.1343704 · Cited by 59
“Consumer attitude in relation to overall evaluation of a product or service brand as favorable or unfavorable, good or bad, or pleasant or unpleasant (Dabholkar & Bagozzi, 2002) is highly likely to influence loyalty towards a theme park brand.”
BackgroundConsumer acceptance of m-wellbeing services: a social marketing perspective
Schuster, L., Drennan, J. C., & Lings, I. N. (2013) · European Journal of Marketing · doi:10.1108/ejm-10-2011-0556 · Cited by 56
Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare
Al-Dhaen, F., Hou, J., Rana, N. P., & Weerakkody, V. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10193-x · Cited by 58
“Age and novelty-seeking behaviour were argued to be the moderators of the relationships motivation-continuous intention to use and training-continuous intention to use (Dabholkar & Bagozzi, 2002; Um et al., 2020).”
BackgroundOlder Adults’ Coping With the Stress Involved in the Use of Everyday Technologies
Yagil, D., Cohen, M. W., & Beer, J. D. (2013) · Journal of Applied Gerontology · doi:10.1177/0733464813515089 · Cited by 56
“In a study of selfefficacy and the use of a technology-based self-service (i.e., ordering food via a computerized touchscreen), those with higher technology-related self-efficacy were less affected by the ease of use of the technology than those with lower self-efficacy (Dabholkar & Bagozzi, 2002).”
BackgroundOne firm’s loss is another’s gain: capitalizing on other firms’ service failures
Allen, A. M., Brady, M. K., Robinson, S. G., & Voorhees, C. M. (2014) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0413-6 · Cited by 57
“In addition, scenario realism (Dabholkar and Bagozzi 2002) was measured, and results indicate subjects found the scenarios to be realistic (Mfail/affiliated=5.”
BackgroundMethodInfluentialFüller, J., & Bilgram, V. (2017) · Journal of Product & Brand Management · doi:10.1108/jpbm-03-2016-1122 · Cited by 57
Exploring factors which motivate older consumers’ self-service technologies (SSTs) adoption
Lee, H., & Lyu, J. (2019) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2019.1575261 · Cited by 56
“However, prior research has reported that enjoyment or fun is one of the determinants that may change consumers ’ attitude toward using SSTs (Bauer, Falk, and Hammerschmidt 2006; Dabholkar and Bagozzi 2002).”
BackgroundDavid versus Goliath - Service quality factors for niche providers in online retailing
Brusch, I., Schwarz, B., & Schmitt, R. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.05.008 · Cited by 55
Attitudinal and Situational Determinants of Self-Service Technology Use
Oh, H., Jeong, M., Lee, S. A., & Warnick, R. B. (2013) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348013491598 · Cited by 54
“Measurement of the three TAM constructs followed the multiitem approach taken by Davis (1989) and Oh et al. (2012). Two items measured the subject’s intention to choose an SST for a check-in transaction: The probability to check in through an SST was operationalized on an 11-point scale (0%, 10%, . . . , 100%) while t…”
BackgroundMethodInfluentialPredicting car drivers’ intention to use low cost airlines for intercity travel in Libya
Borhan, M. N., Ibrahim, A. N. H., Miskeen, M. A. A., Rahmat, R., & Alhodairi, A. M. (2017) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2017.09.004 · Cited by 53
Product touch in the real and digital world: How do consumers react?
Pino, G., Amatulli, C., Nataraajan, R., Angelis, M. D., Peluso, A. M., & Guido, G. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.10.002 · Cited by 64
Sandhu, S., & Arora, S. (2020) · International Journal of Finance & Economics · doi:10.1002/ijfe.2266 · Cited by 54
Na, Y., Kim, Y., & Lee, D. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2238365 · Cited by 64
A Latent Class Analysis of Spanish Travelers’ Mobile Internet Usage in Travel Planning and Execution
Okazaki, S., Campo, S., Andreu, L., & Romero, J. (2014) · Cornell Hospitality Quarterly · doi:10.1177/1938965514540206 · Cited by 54
“However, research suggests that psychographic profiles, in particular, consumers’ personality traits, would significantly influence attitudes and behavior related to technology-based self-services adoption (Dabholkar and Bagozzi 2002).”
BackgroundA model of adoption of AR-based self-service technologies: a two country comparison
Maria Jose Castillo, S., & Bigne, E. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-09-2020-0380 · Cited by 60
Borghi, M., Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2023) · Psychology and Marketing · doi:10.1002/mar.21903 · Cited by 63
“…antecedents and consequences related to service robots, and limited attention has been given to potential moderators; something that has been shown to be important when other service delivery technologies were introduced in the past (e.g., Dabholkar & Bagozzi, 2002; Weijters et al., 2007).”
Moon, H., Miller, D. R., & Kim, S. H. (2012) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2012.00984.x · Cited by 53
Impact of value congruence on affective commitment: examining the moderating effects
Zhang, J., & Bloemer, J. M. M. (2011) · Journal of service management · doi:10.1108/09564231111124208 · Cited by 53
Bhappu, A. D., & Schultze, U. (2006) · Journal of Service Research · doi:10.1177/1094670506286571 · Cited by 53
Click to Share: Patterns in Tourist Photography and Sharing
Konijn, E., Sluimer, N., & Mitas, O. (2016) · International Journal of Tourism Research · doi:10.1002/jtr.2069 · Cited by 52
Cultural heritage and consumer behaviour: a survey on Italian cultural visitors
Pietro, L. D., Mugion, R. G., Mattia, G., & Renzi, M. F. (2015) · Journal of Cultural Heritage Management and Sustainable Development · doi:10.1108/jchmsd-03-2013-0009 · Cited by 52
Assessing user experiences and usage intentions of m-banking service
Shih, K., Hung, H. F., & Lin, B. (2010) · International Journal of Mobile Communications · doi:10.1504/ijmc.2010.032974 · Cited by 52
Ye, L., Bose, M., & Pelton, L. E. (2012) · Journal of Consumer Marketing · doi:10.1108/07363761211221729 · Cited by 52
User acceptance of computer-mediated communication: The SkypeOut case
Liao, C., & Tsou, C. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.05.015 · Cited by 54
Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials
Fuente, A. M. M. D. L., Ayensa, E. J., Pascual, C. O., & Borondo, J. P. (2018) · Complexity · doi:10.1155/2018/1057356 · Cited by 52
Innovative framework for self-service kiosks: Integrating customer value knowledge
Vakulenko, Y., Oghazi, P., & Hellström, D. (2019) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2019.06.001 · Cited by 52
Moon, H. G., Lho, L. H., & Han, H. (2021) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2021.1921096 · Cited by 55
“…previous research about the selfservice technologies in diverse contexts, which included hotels, restaurants, banking, and tourism, the aforementioned factors of the technologies stand separate from each other (Ahn & Seo, 2018; Dabholkar & Bagozzi, 2002; Lin & Hsieh, 2011: Seetanah et al., 2020).”
BackgroundInfluentialDetermining the factors of m-wallets adoption. A twofold SEM-ANN approach
Hidayat-ur-Rehman, I., Alzahrani, S., Rehman, M. Z., & Akhter, F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262954 · Cited by 54
“The users with more personal innovativeness have more intrinsic motivations towards the innovation and they are more likely attracted towards the information and communication technology [55].”
BackgroundIntention to adopt services by AI avatar: A protection motivation theory perspective
Park, J., Yun, J., & Chang, W. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103929 · Cited by 51
Schmitz, C., Bartsch, S., & Meyer, A. (2016) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2016.05.492 · Cited by 51
Adoption of online streaming services: moderating role of personality traits
Bhatt, K. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-08-2020-0310 · Cited by 65
Building a Model of Technology Preference: The Case of Channel Choices
Muthitcharoen, A., Palvia, P., & Grover, V. (2011) · Decision Sciences · doi:10.1111/j.1540-5915.2010.00306.x · Cited by 50
Return Visits: A Review of how Web Site Design Can Engender Visitor Loyalty
Cyr, D. (2014) · Journal of Information Technology · doi:10.1057/jit.2013.25 · Cited by 54
“In the last decade, the original TAM model has been augmented to include a ‘ hedonic ’ component (Childers et al. , 2001; Dabholkar and Bagozzi, 2002) such as enjoyment (Van der Heijden, 2003).”
MethodShim, H.-S., Han, S.-L., & Ha, J. (2020) · Sustainability · doi:10.3390/su13010095 · Cited by 51
“Self-consciousness can appear to be a social risk when other people are present during use of SST [27] Ruyter et al.”
BackgroundMethodResultInfluentialChoice in Interactive Environments
Steckel, J. H., Winer, R. S., Bucklin, R. E., Dellaert, B. G. C., Drèze, X., Häubl, G., Jap, S. D., Little, J. D. C., Meyvis, T., Montgomery, A. L., et al. (2005) · Marketing Letters · doi:10.1007/s11002-005-5894-0 · Cited by 54
Dennis, C., Bourlakis, M., Alamanos, E., Papagiannidis, S., & Brakus, J. J. (2017) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1355644 · Cited by 53
“Mobility/disability The characteristics of the consumers have a significant effect on consumers’ day to day activities, such as shopping and interaction with other individuals, and in particular on their behaviour towards the incorporation of technology in them [16].”
Wang, X., Wong, Y. D., Sun, S., & Yuen, K. F. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102032 · Cited by 49
“For example, Dabholkar and Bagozzi [37] recognised the self-consciousness in consumers ’ interactions with SSTs. Subsequent studies also confirmed the importance of a sense of self-control, personal power or accomplishment that motivated consumers ’ usage of SSTs [32, 50,51].”
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Srivastava, A., & Thaichon, P. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-10-2021-0777 · Cited by 48
Zhao, H., & Khaliq, N. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123599 · Cited by 48
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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