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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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Determinants of Tier 2 Indian consumer’s online shopping attitude: a SEM approach
Kaur, A., & Thakur, P. (2019) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-11-2018-0494 · Cited by 26
An empirical analysis of self-service technologies: mediating role ofcustomer powerlessness
Cao, Z., Xiao, Q., Zhuang, W., & Wang, L. (2021) · Journal of Services Marketing · doi:10.1108/jsm-07-2020-0271 · Cited by 27
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“Since then, several studies have shown that personal innovation affects the acceptance of new technology products (Agarwal et al., 1998; Dabholkar & Bagozzi, 2002; Hirschman, 1980; Lu et al., 2005).”
BackgroundHasan, M. M., Amin, M. A., Moon, Z. K., & Afrin, F. (2022) · Psychology Research and Behavior Management · doi:10.2147/prbm.s377682 · Cited by 34
“Subjective norms were adapted from, Abdullah and Ward and Al Amin et al 53,77 perceived cognitive efforts from, Dabholkar and Bagozzi, Kleijnen et al 86,87 environmental sustainability from Kianpour et al 103 (2014) and Kim et al 104 (2015), management supports from Yap et al 105 (1994) and Thong…”
MethodSohn, S., Schnittka, O., & Seegebarth, B. (2023) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2023.08.003 · Cited by 21
Osarenkhoe, A. (2006) · International Journal of Technology Marketing · doi:10.1504/ijtmkt.2006.008867 · Cited by 26
Role of consumer personality in determining preference for online banking in India
Khare, A., Khare, A., & Singh, S. (2010) · Journal of Database Marketing & Customer Strategy Management · doi:10.1057/dbm.2010.18 · Cited by 25
Modeling the habit of self-service technology usage
Wang, C., Harris, J., & Patterson, P. G. (2016) · Australian Journal of Management · doi:10.1177/0312896216640862 · Cited by 25
“The insignificance of the other four individual difference variables is not unexpected; previous research usually treats personal characteristics as control variables or moderators (e.g. Dabholkar and Bagozzi, 2002; Reinders et al., 2008), and their influences appear implicit and indirect.”
ResultConsumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models
Schuster, L., Tossan, V., & Drennan, J. C. (2017) · Services Marketing Quarterly · doi:10.1080/15332969.2017.1289791 · Cited by 26
“The TPB has been also employed as a basis for examining a wide range of health behaviors (see Godin & Kok, 1996; McEachan et al., 2011) and consumers’ adoption of technology (e.g. Curran & Meuter, 2005; Dabholkar & Bagozzi, 2002).”
Mäntymäki, M., & Islam, A. K. M. N. (2013) · Behaviour and Information Technology · doi:10.1080/0144929x.2013.872190 · Cited by 25
“To examine the moderating effects of PANE, we followed the multi-group procedure based on Jöreskog and Sörbom (1993) suggested by Dabholkar and Bagozzi (2002).”
MethodNyamwange, S. O. (2010) · Cited by 25
The rise of the prosumer: an analysis of self-service technology adoption in a corporate context
Considine, E., & Cormican, K. T. (2022) · International journal of information systems and project management · doi:10.12821/ijispm050202 · Cited by 25
“Most notably Dabholkar and Richard’s [5] seminal study examined the moderating effects of consumer traits and situational factors on the relationships within an attitudinal model for SSTs. Collier et al.’s [13] work explored the situational influences on customers' self-service technology decisions.”
BackgroundInfluentialJanz, F., Jordanow, S., Heidenreich, S., & Schäfer, J. (2024) · Creativity and Innovation Management · doi:10.1111/caim.12639 · Cited by 26
Understanding consumers' purchasing behavior of ethnically disparate products
Hyun, J., & Fairhurst, A. E. (2017) · Journal of Consumer Behaviour · doi:10.1002/cb.1691 · Cited by 24
Nair, A. K. S., & Bhattacharyya, S. S. (2018) · foresight · doi:10.1108/fs-05-2018-0048 · Cited by 24
Using interactive technologies to influence guests’ unplanned dollar spending in hotels
Morosan, C. V., & Defranco, A. L. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.04.015 · Cited by 24
Universitas Syarif Hidayatullah, I., & Sukmana, H. T. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/4481.52019 · Cited by 24
“While most acceptance frameworks focus on instrumental cognitive determinants and SI, the specific nature of users also plays a role in shaping the level of acceptance [18], [19], [20], [21], [22] explains that TR represents one of these personality traits.”
BackgroundSocial media and student performance: the moderating role of ICT knowledge
Dzogbenuku, R. K., Amoako, G. K., & Kumi, D. K. (2019) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-08-2019-0092 · Cited by 25
Doctor Resistance of Artificial Intelligence in Healthcare
Chaibi, A., & Zaiem, I. (2022) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.315618 · Cited by 24
“Dabholkar and Bagozzi (2002) defined the need for interaction as “The importance of human interaction to consumer in service encounters”.”
BackgroundAdoption of cryptocurrencies for remittances in the UAE: the mediation effect of consumer innovation
Jegerson, D., Khan, M., & Mertzanis, C. (2023) · European Journal of Innovation Management · doi:10.1108/ejim-09-2022-0538 · Cited by 24
Huang, H.-L. (2023) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2023.102249 · Cited by 24
“Compared with people who have low health self-efficacy levels, individuals exhibiting high health self-efficacy levels have stronger engagement with health protection activities and a higher intention to use technology-based services to prevent diseases (Dabholkar & Bagozzi, 2002).”
InfluentialAlsmadi, A. A., Shuhaiber, A., & Al-Omoush, K. S. (2023) · Kybernetes · doi:10.1108/k-04-2023-0572 · Cited by 26
A study on consumer adoption of technology-facilitated services
Chowdhury, I., Patro, S. K., Venugopal, P., & Israel, D. (2014) · Journal of Services Marketing · doi:10.1108/jsm-04-2013-0095 · Cited by 27
Posttraining Self-Efficacy, Job Involvement, and Training Effectiveness in the Hospitality Industry
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How Consumer Decision Making Process Differ From Youngster to Older Consumer Generation
Yap, C. W. S., & Yazdanifard, R. (2014) · Journal of Research in Marketing · doi:10.17722/jorm.v2i2.54 · Cited by 24
“108) Dabholkar and Bagozzi (2002) also argue that, “The consumer differences arising from personality traits are highly relevant for validly predicting behavioural choices of new technology because such variation is “at the heart” of consumers’ decision making process” (p.”
BackgroundInfluentialGadget Loving: A Test of an Integrative Model
Shoham, A., & Pesämaa, O. (2013) · Psychology and Marketing · doi:10.1002/mar.20602 · Cited by 24
Mangin, J.-P. L., Bourgault, Guerrero, M., & Egea, J. M. O. (2011) · Cited by 23
Achieving favourable customer outcomes through employee deviance
Boukis, A. (2016) · Service Industries Journal · doi:10.1080/02642069.2016.1219722 · Cited by 24
“In fact, their participation in the exchange generates a more enjoyable experience (Dabholkar & Bagozzi, 2002) and they may experience delight due to the greater sense of control they have over the process and the final outcome (Schneider & Bowen, 1995).”
BackgroundHow food retailing changed in Turkey: spread of self-service technologies
Kazançoğlu, İ., & Yarımoğlu, E. (2018) · British Food Journal · doi:10.1108/bfj-03-2017-0189 · Cited by 24
A posteriori segmentation of elderly internet users: applying PLS-POS
Arenas-Gaitán, J., Ramos, Á. F. V., & Peral, B. P. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-01-2019-0057 · Cited by 24
Motives and barriers affecting consumers’ co-creation in the physical store
Schüler, M., Maier, M. F., & Liljedal, K. T. (2019) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2019.1687103 · Cited by 28
“The fact that the co-creation activity was to be conducted in a public setting with high visibility produced social anxiety, a fear of being judged and evaluated negatively by other people (e.g. Fenigstein et al. 1975; Dabholkar and Bagozzi 2002).”
BackgroundExploring Customers' Perceptions in Creating and Delivering Value
Anıtsal, İ., & Flint, D. J. (2006) · Services Marketing Quarterly · doi:10.1300/j396v27n01_04 · Cited by 24
The effect of exogenous factors on the Technology Acceptance Model for online shopping in the UAE
Mouakket, S. (2009) · International Journal of Electronic Business · doi:10.1504/ijeb.2009.028153 · Cited by 23
No man is an island: Will service robots reduce employee loneliness?
Liu, X., Lin, Z., Fang, S., & Zhang, L. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105151 · Cited by 25
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Saldivar, R. “., & Zolfagharian, M. (2021) · Journal of Marketing Management · doi:10.1080/0267257x.2021.2000474 · Cited by 23
“…better than my expectations: In terms of CSR, TOP CELL has performed . . .; I feel TOP CELL’s CSR campaign has been . . .; Overall, I rate TOP CELL’s CSR practices as . . . Scenario realism was checked with two items on a 7-point semantic differential scale based on Dabholkar and Bagozzi (2002).”
MethodCustomer adoption factors for in-flight entertainment and connectivity
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On the potential for Twitter to add value in retail bank relationships
Murray, L., Durkin, M., Worthington, S., et al. (2014) · Journal of Financial Services Marketing · doi:10.1057/fsm.2014.27 · Cited by 23
“SELF-SERVICE TECHNOLOGIES The relatively recent academic focus on customer self-service technologies (SSTs) highlights the importance of exploring research issues where technology acts as a service enabler for the customer (Gwinner et al, 1998; Bitner et al, 2000; Selnes and Hansen, 2001; Dabholkar and Bagozzi, 2002;…”
BackgroundAn Identification of Factors Motivating Individuals’ Use of Cloud-Based Services
Garrison, G., Rebman, C. M., & Kim, S. H. (2016) · Journal of Computer Information Systems · doi:10.1080/08874417.2016.1180653 · Cited by 23
“…[5, 6], attitude is likely formed from the beliefs representing the expected benefits and the perceived risks of using a technology and previous studies have demonstrated a direct and positive relationship between individuals ’ attitude toward a technology and their intentions to use it [20].”
Need for touch and two-way communication in e-commerce
Lee, Y. J., Yang, S. J., & Johnson, Z. S. (2017) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-04-2016-0035 · Cited by 24
A comparative study of corporate user-generated media behavior: Cross-cultural B2B context
Thakur, R., & AlSaleh, D. (2018) · Industrial Marketing Management · doi:10.1016/j.indmarman.2018.02.004 · Cited by 23
Explaining Consumer Behavior and Consumer Action: From Fragmentation to Unit
Bagozzi, R. P. (2006) · Seoul National University Open Repository (Seoul National University) · Cited by 23
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Almokdad, E., Mouloudj, K., & Lee, C.-H. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030209 · Cited by 28
Systems, Design and Technologies Anxieties Towards Use of Self-service Checkout
Jalil, N. A., & Koay, K. Y. (2019) · International Conference on Education and E-Learning (ICEEL) · doi:10.1145/3371647.3371664 · Cited by 22
“Retailers can execute different SSTs, which can be 'off-site' arrangements, for example, web-based shopping or web banking and 'on location' organizations, for example, basic food item self-checkouts and stands [5].”
BackgroundGao, J., Rong, Y., Tian, X., & Yao, Y. (2020) · Information Systems Research · doi:10.1287/isre.2023.1205 · Cited by 27
Moderator variables in consumer research: A call for caution
Söderlund, M. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103352 · Cited by 37
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Uncovering the reasons behind consumers’ shift from online to offline shopping
Kim, H., & Han, S. M. (2023) · Journal of Services Marketing · doi:10.1108/jsm-02-2023-0060 · Cited by 28
Dabholkar, P. A., & Sheng, X. (2008) · The Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679160306 · Cited by 22
Self-citationInvestigating the Drivers of the Continuous Use of Social Virtual Worlds
Mäntymäki, M., & Merikivi, J. (2010) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2010.241 · Cited by 22
Technology-Based Self-Service and Its Impact on Customer Productivity
Kim, T., Kim, M. C., Moon, G., et al. (2014) · Services Marketing Quarterly · doi:10.1080/15332969.2014.916145 · Cited by 22
“Dabholkar and Bagozzi (2002) proposed an attitudinal model adapted from Dabholkar (1994) and suggested that the perception of TBSS is formed by three attributes (i.e., ease of use, performance, and fun).”
BackgroundMethodInfluentialRiquelme, I. P., & Román, S. (2014) · Ethics and Information Technology · doi:10.1007/s10676-014-9341-x · Cited by 23
“Yet, researchers have repeatedly pointed out that it is important to investigate moderating effects in consumer studies (e.g., Dabholkar and Bagozzi 2002, San Martín and Jiménez 2011).”
BackgroundInfluentialTotawar, A. K., & Nambudiri, R. (2014) · Vikalpa The Journal for Decision Makers · doi:10.1177/0256090920140209 · Cited by 25
“As a second method, chi-square discriminant validity test (Dabholkar & Bagozzi, 2002) was used.”
BackgroundMethodInfluentialLiang, Y., & Liu, C. (2019) · Journal of Global Fashion Marketing · doi:10.1080/20932685.2019.1619469 · Cited by 22
“To compare if identi fi ed factors predict users ’ acceptance of OAMC di ff erently across the two di ff erent channels, a comparison of the structural path model was conducted (Dabholkar & Bagozzi, 2002).”
MethodSelf-service Technologies in the Travel, Tourism, and Hospitality Sectors: Principles and Practice
Kelly, P., Lawlor, J., & Mulvey, M. S. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78756-687-320191003 · Cited by 22
Guo, C., Warkentin, M. E., Luo, X. R., Gurung, A., & Shim, J. P. (2020) · Information & Management · doi:10.1016/j.im.2019.103261 · Cited by 28
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Inter-channel Effects in Multichannel Travel Services
Aslanzadeh, M., & Keating, B. W. (2014) · Cornell Hospitality Quarterly · doi:10.1177/1938965514535974 · Cited by 22
“Research suggests that a user’s NHI can be a relevant factor in predicting use of self-service technologies (Bateson 1985; Cowles and Crosby 1990; Dabholkar 1996; Dabholkar and Bagozzi 2002; Langeard et al. 1981; Zeithaml and Gilly 1987).”
BackgroundZhao, H., & Min, Q. (2024) · Information & Management · doi:10.1016/j.im.2024.104012 · Cited by 28
The Use of Self-Service Technologies in Budget Hotels: The Case of Bournemouth
Giousmpasoglou, C., & Hua, T. T. (2020) · European journal of tourism, hospitality and recreation · doi:10.2478/ejthr-2020-0022 · Cited by 21
Customer reactions to self-checkout discontinuance
Rinta-Kahila, T., Penttinen, E., Kumar, A., & Janakiraman, R. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102498 · Cited by 21
Internet of things and consumer engagement on retail: state-of-the-art and future directions
Ajayi, S., Loureiro, S. M. C., & Langaro, D. (2022) · EuroMed Journal of Business · doi:10.1108/emjb-10-2021-0164 · Cited by 21
“…on new technologies mostly revolves around disruptive (sophisticated) technology (Inman and Nikolova, 2017), smart technology (Adapa et al. , 2020), innovative technology (Renko and Druzijanic, 2014) and self-service technology (Dabholkar and Bagozzi, 2002; Meuter et al. , 2005; Parasuraman, 2000).”
BackgroundCustomer engagement in idea contests: Emotional and behavioral consequences of idea rejection
Schaarschmidt, M., & Dose, D. B. (2023) · Psychology and Marketing · doi:10.1002/mar.21794 · Cited by 26
Understanding consumer loyalty to technology-based self-services with credence qualities
Schuster, L., Proudfoot, J. G., & Drennan, J. C. (2015) · Journal of Services Marketing · doi:10.1108/jsm-01-2015-0021 · Cited by 22
Hussein, R., & Mourad, M. (2014) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-07-2013-0155 · Cited by 22
“Consumers’ personal characteristics are seen as influential on adoption decisions as they are at the heart of consumer attitude formation and behavioral intention (Dabholkar and Bagozzi, 2002).”
BackgroundDo Online Gossipers Promote Brands?
Okazaki, S., Rubio, N., & Campo, S. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0283 · Cited by 21
Chinomona, R. (2013) · Mediterranean Journal of Social Sciences · doi:10.5901/mjss.2013.v4n14p237 · Cited by 21
Explaining social exchanges in information-based online communities (IBOCs)
Benoit, S., Bilstein, N., Hogreve, J., & Sichtmann, C. (2016) · Journal of service management · doi:10.1108/josm-09-2015-0287 · Cited by 21
“Prior literature identifies (expected) enjoyment as a strong incentive to participate in online settings (Dabholkar and Bagozzi, 2002; Dholakia et al., 2009; Etgar, 2008) and uses this variable to operationalize motivation as (expected) enjoyment (Venkatesh et al.”
BackgroundResultInfluentialFrom an information consumer to an information author: a new approach to business intelligence
Hani, I. B., Tona, O., & Carlsson, S. (2018) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2018.1444358 · Cited by 28
“Once users have control over the SST, they start co-producing the service they need (Dabholkar and Bagozzi 2002; Hsiao and Tang 2015; Van Beuningen et al. 2009).”
BackgroundChinese cruise customers loyalty: the impact of customer participation and service personal values
Wu, H., Xiao-xiao, L., Çavuşoğlu, M., & Çobanoğlu, C. (2020) · Tourism Review · doi:10.1108/tr-03-2019-0085 · Cited by 25
Do Online Services Contribute to Establishing Brand Equity Within the Retail Banking Context?
Al-Hawari, M. A. (2011) · Journal of Relationship Marketing · doi:10.1080/15332667.2011.596466 · Cited by 21
A comparison of statistical and decision-making techniques in marketing mix evaluation
Shokrani, M., Haghighi, M., Paricheh, M., & Shokrani, M. (2019) · Journal of Management Development · doi:10.1108/jmd-08-2018-0228 · Cited by 20
Digital Readiness and Acceptance of Mobile Advertising
Nasution, R. A., Arnita, D., & Azzahra, D. F. (2021) · Australasian Marketing Journal (AMJ) · doi:10.1177/1839334921998555 · Cited by 20
“They tend to be stable over time and influence customer behavior significantly (Dabholkar & Bagozzi, 2002; Steenkamp & Maydeu-Olivares, 2015).”
BackgroundSelf-Service Technology in Casual Dining Restaurants
Nilsson, E., Pers, J., & Grubbström, L. (2021) · Services Marketing Quarterly · doi:10.1080/15332969.2021.1947085 · Cited by 20
“(2001); curran and Meuter (2005); Dabholkar (1996); Dabholkar et al. (2003); Dabholkar & Bagozzi (2002); elliott et al.”
BackgroundImpact of Artificial Intelligence on Customer Loyalty in the Indian Retail Industry
Bedi, K., Bedi, M., & Singh, R. (2021) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-7998-7959-6.ch002 · Cited by 20
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Nyagadza, B., Mazuruse, G., Rukasha, T., Mukarumbwa, P., Muswaka, C., & Shumbanhete, B. (2022) · SN Social Sciences · doi:10.1007/s43545-022-00562-x · Cited by 22
Why do customers value m-banking apps? A stimulus-organism-response perspective
Palamidovska-Sterjadovska, N., Prodanova, J., & Ciunova-Shuleska, A. (2024) · Spanish Journal of Marketing - ESIC · doi:10.1108/sjme-01-2023-0024 · Cited by 21
Huynh, M. T. X., & Olsen, S. O. (2015) · Psychology and Marketing · doi:10.1002/mar.20812 · Cited by 20
Gender, Age, and Education: Do They Really Moderate Online Music Acceptance?
Sukı, N. M. (2011) · Communications of the IBIMA · doi:10.5171/2011.959384 · Cited by 20
Antecedents of intention to use CUSS system: moderating effects of self-efficacy
Chen, L. S.-L., & Wu, K. I.-F. (2013) · Service Business · doi:10.1007/s11628-013-0210-1 · Cited by 20
“Dabholkar and Bagozzi (2002) further propose that researchers such as Klein and Yadav (1989) suggest that it is more meaningful to examine the moderating effects of the factors of interest.”
BackgroundInfluentialKowatsch, T., Maaß, W., & Fleisch, E. (2011) · International Journal of Internet Marketing and Advertising · doi:10.1504/ijima.2011.038237 · Cited by 20
Hossain, M. N., Okajima, H., Kitaoka, H., & Ahmed, A. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.06.049 · Cited by 20
Chen, S.-L., Chen, J.-H., & Lee, Y. (2018) · Sustainability · doi:10.3390/su10030673 · Cited by 23
Yang, Q., Wang, Q., & Zhao, X. (2018) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2018.1552931 · Cited by 20
“Lastly, the discriminant validity was checked by comparing the fit between the one-factor and the two-factor CFA models following Dabholkar and Bagozzi (2002).”
MethodChen, K.-H., Chang, F.-H., Chen, Y., & Chen, P.-M. (2019) · Sustainability · doi:10.3390/su11030810 · Cited by 21
The role online review on mobile commerce adoption: an inclusive growth context
Pipitwanichakarn, T., & Wongtada, N. (2020) · Journal of Asia Business Studies · doi:10.1108/jabs-02-2019-0060 · Cited by 29
Consumers' Online Information Search: Gen Yers' Finding Needles in the Internet Haystack
Maity, M., Hsu, M. K., & Pelton, L. E. (2012) · Journal of Marketing Channels · doi:10.1080/1046669x.2012.635370 · Cited by 20
Kim, D. (2009) · Journal of Travel & Tourism Marketing · doi:10.1080/10548400902925395 · Cited by 20
Beyond trial: Consumer assimilation of electronic channels
Johnson, D. S. (2008) · Journal of Interactive Marketing · doi:10.1002/dir.20112 · Cited by 22
Guilabert, M. B., & Donthu, N. (2006) · International Journal of Mass Customisation · doi:10.1504/ijmassc.2006.008620 · Cited by 20
Managing consumer resistance to innovations
Reinders, M. J. (2010) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · Cited by 19
Huang, G. (2019) · Journal of Promotion Management · doi:10.1080/10496491.2019.1699633 · Cited by 23
“Novelty seeking is a fundamental characteristic of human beings (Dabholkar & Bagozzi, 2002).”
BackgroundA cross‐national investigation of trait antecedents of mobile‐banking adoption
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“For example, some consumers can feel self-conscious (Dabholkar and Bagozzi 2002), anxious (Meuter et al.”
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AI enabled travel: a MOA-nificent journey
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“Self-efficacy (SE) is a strong predictor of technology adoption, technology usage intention, and many other types of consumer behavior (Cao et al., 2022; Dabholkar & Bagozzi, 2002).”
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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