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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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Factors Affecting Third Generation (3G) Mobile Service Acceptance: Evidence from Malaysia
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Assessing Service Attitude: Service Quality Measures Taken by Islamic Banks in Pakistan
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“One noticeable trend is the increasing use of SSTs by businesses.”
BackgroundInfluentialAn Integrated Temporal Model of Belief and Attitude Change: An Empirical Test With the iPad
Xu, D. J., Abdinnour, S., & Chaparro, B. S. (2017) · Journal of the Association for Information Systems · doi:10.17705/1jais.00450 · Cited by 19
“In addition to the positive effect of PU on IT usage, research has established the direct and indirect relationship between PE and IT usage (Dabholkar & Bagozzi, 2002; Van der Heijden, 2004; Venkatesh, 2000).”
BackgroundFactors Affecting Customers Adoption of Internet Banking in Pakistan
Abbasi, S., Kamran, S., & Akhtar, C. S. (2017) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · Cited by 19
Identifying consumer’s last-mile logistics beliefs in omni-channel environment
Zarei, M. M., Chaparro-Peláez, J., & Agudo-Peregrina, Á. F. (2020) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2020.1760914 · Cited by 19
“On the other hand, higher self-efficacy consumers tend to be more confident in their ability to perform a behaviour (Dabholkar & Bagozzi, 2002), and they are more likely to engage in free-riding behaviour in different stages of consumer’s journey (Chiu et al., 2011).”
BackgroundMohan, K., & Ahlemann, F. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21640-4_24 · Cited by 19
An empirical analysis of New Zealand bank customers' satisfaction
Gan, C. E. C., Clemes, M., Wei, J., & Kao, B. (2010) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 19
Okazaki, S., Škapa, R., & Grande, I. (2007) · Advances in international marketing · doi:10.1016/s1474-7979(06)18011-4 · Cited by 19
Exploring Factors That Drive Adoption of Various Categories of M-commerce: An Emerging Market Study
Pandey, S., & Chawla, D. (2018) · Global Business Review · doi:10.1177/0972150918792146 · Cited by 19
“PI is stated to impact the decision-making of individuals and their perceptions regarding information-technology adoption (Dabholkar & Bagozzi, 2002; Singh, Chaudhari, & Verma, 2017; Thakur & Srivastava, 2014).”
BackgroundChen, Y.-N., Lo, V., Wei, R., Xu, X., & Zhang, G. (2014) · International Journal of Journalism & Mass Communication · doi:10.15344/2349-2635/2014/105 · Cited by 18
“Dabholkar and Bagozzi [44] found that enjoyment and fun were significant antecedents of attitude toward using mobile services.”
BackgroundChang, Y.-Z., Yu, C.-W. F., Chao, C., & Lin, F.-C. (2020) · The Social Science Journal · doi:10.1080/03623319.2020.1848338 · Cited by 18
“However, Dabholkar and Bagozzi (2002) opined that the variations caused by personality traits should receive greater attention than demographic or psychological factors, as these variations are fundamental to the formation of consumer attitudes and behavioral intentions.”
Sghari, A., & Bouaziz, F. (2021) · Interactive Technology and Smart Education · doi:10.1108/itse-05-2021-0082 · Cited by 18
Drivers of the experience value of mobile money transfer service: Senegaleseuser perspectives
Fall, N. A. M., Diop-Sall, F., & Poncin, I. (2021) · Journal of Services Marketing · doi:10.1108/jsm-07-2020-0282 · Cited by 19
Factors influencing behavioural intention to avail omnichannel service among Gen Y consumers
Mishra, R., Singh, R. K., & Paul, J. (2024) · Benchmarking An International Journal · doi:10.1108/bij-05-2023-0333 · Cited by 18
Exploring interaction: print and online news media synergies
Graham, G., & Greenhill, A. (2013) · Internet Research · doi:10.1108/10662241311295791 · Cited by 18
Factors Affecting Resistance and Intention to Use the Smart TV
Im, H., Jung, J., Kim, Y., et al. (2014) · Journal of Media Business Studies · doi:10.1080/16522354.2014.11073583 · Cited by 18
Investigating the Antecedents of University Students’ Behavioral Intention to Use iPad for Learning
Wu, C.-P. (2013) · International Journal of e-Education e-Business e-Management and e-Learning · doi:10.7763/ijeeee.2013.v3.280 · Cited by 18
Turner, J. J., & Szymkowiak, A. (2019) · Engineering Management in Production and Services · doi:10.2478/emj-2019-0003 · Cited by 18
“However, when these feelings of control are disrupted by, say, staff intervention (Hilton et al., 2013; Dabholkar & Bagozzi, 2002), consumer frustration may emerge.”
BackgroundInfluentialIncreasing learners’ satisfaction/intention to adopt more e‐learning
Sawang, S., Newton, C. J., & Jamieson, K. (2013) · Education + Training · doi:10.1108/00400911311295031 · Cited by 30
Kwak, D. H., & Kwon, Y. (2016) · Journal of Consumer Behaviour · doi:10.1002/cb.1576 · Cited by 18
Boenigk, S., & Möhlmann, M. (2016) · Journal of Nonprofit & Public Sector Marketing · doi:10.1080/10495142.2014.987036 · Cited by 18
“One reason for these results could be that we decided to follow scales that used a two-indicator approach (Dabholkar & Bagozzi, 2002; Stall-Meadows & Henert, 2011), and not measured green attitude and green intention with more items, as recommended by other authors.”
In search of e-service value: technology-exploitationvs.certainty-seeking online behaviours
Lin, C. (2010) · Service Industries Journal · doi:10.1080/02642060802613541 · Cited by 18
Larivière, B., Joosten, H., Malthouse, E. C., van Birgelen, M., Aksoy, P., Kunz, W. H., & Huang, M. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2307058 · Cited by 18
Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration
Sobaih, A. E. E., Chaibi, A., Brini, R., & Ibrahim, T. M. A. (2025) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe15010006 · Cited by 33
“Research has identified negative consequences of dependence, e.g., social isolation (Davis, 2001) and technostress (Shu et al., 2011), and how consumers are increasingly dependent on these technologies, which negatively affects their behavior (e.g., isolation and loss of control) (Shu et al., 2011).”
Seven challenges to combining human and automated service
Messinger, P. R., Li, J., Stroulia, E., Galletta, D., Ge, X., & Choi, S. (2009) · Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · doi:10.1002/cjas.123 · Cited by 14
Brand knowledge transfer via sponsorship in the financial services industry
Yang, S. J., & Ha, S. (2014) · Journal of Services Marketing · doi:10.1108/jsm-11-2013-0313 · Cited by 17
“The moderating role of attitude toward insurance agents To test the moderating effects of attitude toward insurance sales agents on the associations that the corporate image had in the proposed model, this study followed the steps suggested by Dabholkar and Bagozzi (2002). Over 50 per cent of the participants indicate…”
MethodGhalandari, K., & Branch, N. (2012) · Cited by 16
Ji, C., Li, J., & Nie, Y. (2017) · Journal of China Tourism Research · doi:10.1080/19388160.2017.1324334 · Cited by 17
“After testing the pure moderating effect and examining the significant differences, the standard coefficients between the two groups should also be compared (Dabholkar & Bagozzi, 2002).”
BackgroundUnderstanding the Chinese information culture and its impact on IT perceptions
Chen, L., Zhang, X., & Li, Z. (2019) · Information Technology and People · doi:10.1108/itp-03-2018-0128 · Cited by 17
Why do millennials use Facebook? Enduring insights
Ambrose, G. J., Meng, J., & Ambrose, P. J. (2020) · Qualitative Market Research An International Journal · doi:10.1108/qmr-03-2018-0036 · Cited by 17
Role of Situational Dependence in the Use of Self-Service Technology
Yoon, C., & Choi, B. (2020) · Sustainability · doi:10.3390/su12114653 · Cited by 17
“In real life, situational dependence shows that it directly affects the use or intention to make use of SSTs.”
BackgroundMethodResultInfluentialNguyen, J., Le, Q. V., & Ha, J. T. (2021) · Service Science · doi:10.1287/serv.2021.0279 · Cited by 17
Maiyaki, A. A. (2013) · Journal of Distribution Science · doi:10.13106/jds.2013.vol11.no7.39 · Cited by 17
Ueda, K., & Kurahashi, S. (2018) · Frontiers in Physics · doi:10.3389/fphy.2018.00005 · Cited by 17
“Dabholkar and Bagozzi [11] expanded the concept of a technology acceptance model to explicate that situational factors and consumer traits have a direct effect on promoting a positive attitude toward TBSS and the intention to use TBSS.”
BackgroundMethodInfluentialCocosila, M., & Turel, O. (2019) · Internet Research · doi:10.1108/intr-04-2018-0174 · Cited by 17
The interaction between digital marketing communication and customer loyalty
Merisavo, M. (2008) · Aaltodoc (Aalto University) · Cited by 17
Puri, S., Pandey, S., & Chawla, D. (2022) · Benchmarking An International Journal · doi:10.1108/bij-12-2020-0647 · Cited by 17
The evolution of service toward automated customer assistance: there is a difference
Roberts, C., & Maier, T. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2022-1037 · Cited by 16
Alshibly, H. H., Alwreikat, A., Morgos, R., & Abuaddous, M. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2387196 · Cited by 19
“…research inspecting the effect of chatbot usability characteristics, such as ease of use, reliability, and personalization, on customer empowerment (Dabholkar & Bagozzi, 2002; li & Bernoff, 2008), this study’s results provide further compelling evidence that ease of use, reliability, and…”
InfluentialBoundary conditions of the effect of customer coproduction: the case of service failure
Zolfagharian, M., Felix, R., & Braun, J. (2018) · Journal of Marketing Management · doi:10.1080/0267257x.2018.1474243 · Cited by 16
“The scenario realism was checked via items adapted from Dabholkar and Bagozzi (2002).”
MethodCustomer participation and the roles of self-efficacy and adviser-efficacy
Wang, C.-Y. (2019) · International Journal of Bank Marketing · doi:10.1108/ijbm-10-2017-0220 · Cited by 12
“My bad”: investigating service failure effects in self-service and full-service settings
Köcher, S., & Paluch, S. (2019) · Journal of Services Marketing · doi:10.1108/jsm-03-2018-0096 · Cited by 18
Exploring Determinants Influencing the Intention to Use Mobile Payment Service
Mahran, A. F. A., & Enaba, H. M. L. (2011) · International Journal of Customer Relationship Marketing and Management · doi:10.4018/jcrmm.2011100102 · Cited by 16
Self-consciousness profiles in the acceptance of airline e-ticketing services
López‐Bonilla, J. M., & López‐Bonilla, L. M. (2015) · Anatolia · doi:10.1080/13032917.2014.996763 · Cited by 16
“In the context of the Information Technology, Dabholkar and Bagozzi (2002) studied a set of consumer traits and situational factors that may influence the use of technological self-services.”
BackgroundSuccessful service retail channel expansions: The roles of technical and brand integration
Patel, C. (2013) · Industrial Marketing Management · doi:10.1016/j.indmarman.2013.07.020 · Cited by 16
Managing technology-enabled service innovations
Walker, R. H., & Johnson, L. W. (2004) · International Journal of Entrepreneurship and Innovation Management · doi:10.1504/ijeim.2004.005848 · Cited by 16
Grounded Theory: An Effective Method for User Experience Design Research
Khambete, P., & Athavankar, U. (2010) · Cited by 16
Ghane, F., Samah, B. A., Ahmad, A. B., & Idris, K. (2011) · Cited by 16
Kobia, C., & Liu, C. (2017) · Journal of Internet Commerce · doi:10.1080/15332861.2017.1324651 · Cited by 16
“Previous researchers have confirmed that attitudes have a strong, direct, and positive effect on intentions (Fishbein and Ajzen 1975; Dabholkar and Bagozzi 2002; Akar and Topçu 2011; Dutta and Bhat 2016).”
BackgroundMethodHilton, T., & Hughes, T. (2008) · UWE Research Repository (UWE Bristol) · Cited by 16
García, J. A. M., & Martínez, L. (2008) · International Journal of Market Research · doi:10.1177/147078530805000404 · Cited by 16
Nguyễn, H. Q., Nguyen, Q. H., Tran, T. P., et al. (2023) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-01-2023-0004 · Cited by 15
Asif, M., & Sarwar, F. (2024) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-04-2024-0232 · Cited by 15
Assessing Chinese Consumers Likelihood To Adopt Self-Service Technologies
Elliott, K. M., & Meng, J. (2011) · International Business & Economics Research Journal (IBER) · doi:10.19030/iber.v8i2.3099 · Cited by 15
Gountas, S., Mavondo, F., Ewing, M., & Gountas, J. (2011) · Tourism Analysis · doi:10.3727/108354211x13149079788819 · Cited by 12
Are consumers’ reasons for and against behaviour distinct?
Chatzidakis, A., Hibbert, S. A., & Winklhofer, H. M. (2016) · European Journal of Marketing · doi:10.1108/ejm-10-2013-0601 · Cited by 15
“Across these applications, the extant literature concentrates almost exclusively on predicting and explaining why people do perform a particular behaviour (Ma et al., 2012; Berger and Corbin, 1992; Dabholkar and Bagozzi, 2002).”
BackgroundDunes, M., & Pras, B. (2017) · Journal of Product & Brand Management · doi:10.1108/jpbm-09-2015-0995 · Cited by 15
The suffering company: Consumer compassion towards companies exposed to negative events
Meyer, F., Huber, F., & Huber, S. (2019) · Psychology and Marketing · doi:10.1002/mar.21181 · Cited by 17
Han, J., Moon, H., Oh, Y.-H., Chang, J. Y., & Ham, S. (2020) · Nutrition Research and Practice · doi:10.4162/nrp.2020.14.2.167 · Cited by 21
Self-Consciousness in Online Shopping Behavior
López‐Bonilla, L. M., López‐Bonilla, L. M., & Sanz-Altamira, B. (2021) · Mathematics · doi:10.3390/math9070729 · Cited by 16
“Abe, Bagozzi and Sadarangani [9] warn that self-consciousness has been little studied in the field of consumer behavior.”
BackgroundResultInfluentialHau, L. N., & Thúy, P. N. (2021) · Service Business · doi:10.1007/s11628-021-00451-y · Cited by 17
Reinkemeier, F., & Gnewuch, U. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.528 · Cited by 14
Lee, K. Y., Han, S., Shin, S. I., & Yang, S. (2022) · Internet Research · doi:10.1108/intr-07-2021-0462 · Cited by 15
Islam, A. K. M. N., Azad, N., Mäntymäki, M., & Islam, S. M. S. (2014) · IFIP advances in information and communication technology · doi:10.1007/978-3-662-45526-5_16 · Cited by 15
“TAM and its constructs have been used in areas outside the technology adoption such as information adoption [51], marketing [12], and advertising [45].”
MethodPreference stability belief as a determinant of response to personalized recommendations
Shen, A., & Ball, A. D. (2011) · Journal of Consumer Behaviour · doi:10.1002/cb.350 · Cited by 15
Assessing women's apparel shopping behaviour on the internet
Hirst, A., & Omar, O. E. (2007) · University of Hertfordshire Research Archive (University of Hertfordshire) · Cited by 15
Klier, J., Klier, M., Müller, A.-L., et al. (2016) · Journal of Decision System · doi:10.1080/12460125.2016.1141274 · Cited by 15
“…effects such as time savings (e.g. Dabholkar, 1996), control (e.g. Bateson, 1985), reliability (e.g. Davis, 1989), ease of use (e.g. Dabholkar & Bagozzi, 2002; Dabholkar, Bobbitt, & Lee, 2003; Lee, Fairhurst, & Cho, 2012; Meuter et al., 2000; Weijters et al., 2007), and avoidance…”
Woisetschläger, D. M. (2016) · Springer eBooks · doi:10.1007/978-3-662-48847-8_32 · Cited by 15
Subscribers’ intention towards using 3G mobile services
Sukı, N. M. (2011) · Journal of Economics and Behavioral Studies · doi:10.22610/jebs.v2i2.223 · Cited by 15
Understanding the Role of Blogger Recommendations on Consumer Purchasing Behavior
AlSaleh, D. (2017) · The Journal of Business Inquiry · Cited by 15
ANALISIS PENGARUH TECHNOLOGY READINESS TERHADAP MINAT MENGGUNAKAN TCASH DI KOTA SEMARANG
Pratiwi, M. T., Indriani, F., & Sugiarto, J. (2018) · JURNAL BISNIS STRATEGI · doi:10.14710/jbs.26.1.76-88 · Cited by 15
Factors Affecting Millennials’ Attitudes toward Luxury Fashion Brands: A Cross-Cultural Study
Burnasheva, R., GuSuh, Y., & Villalobos-Moron, K. (2019) · International Business Research · doi:10.5539/ibr.v12n6p69 · Cited by 19
“In line with past research maintaining that the positive association between attitude and intention (Bian, 2010; Dabholkar and Bagozzi, 2002; Sheppard et al., 1988), this study hypothesizes that:”
ResultCurvilinear Effects of Corporate Social Responsibility and Benevolence on Loyalty
Vlachos, P. A., Krepapa, A., Panagopoulos, N. G., et al. (2013) · Corporate Reputation Review · doi:10.1057/crr.2013.15 · Cited by 15
Mason, M. C., Zamparo, G., & Pauluzzo, R. (2023) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2022-0256 · Cited by 17
Shaw, B., Roy, S. K., Kesharwani, A., Doorn, S. V., & Japutra, A. (2023) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-01-2023-0005 · Cited by 14
FinTech credit: uncovering knowledge base, intellectual structure and research front
Thomas, N. M., Mendiratta, P., & Kashiramka, S. (2023) · International Journal of Bank Marketing · doi:10.1108/ijbm-01-2023-0039 · Cited by 14
Bhatt, K., Halvadia, N. B., Shah, P., et al. (2024) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2024.101113 · Cited by 14
Kuo, F.-R., & Hwang, G. (2015) · Australasian Journal of Educational Technology · doi:10.14742/ajet.284 · Cited by 14
“Research findings about the influences of these individual difference variables on technology acceptance are both limited and inconsistent (Dabholkar & Bagozzi 2002).”
BackgroundMa, G.-Y., & Park, K. (2011) · International Journal of Services and Operations Management · doi:10.1504/ijsom.2011.038974 · Cited by 10
A Proposal for a Mobile Ticketing Solution for Metropolitan Area of Oporto Public Transport
Ferreira, M. C., Nóvoa, M. H., & Dias, T. G. (2013) · Lecture notes in business information processing · doi:10.1007/978-3-642-36356-6_19 · Cited by 14
He, Z., Yang, X., Wang, W., et al. (2017) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2017.1310709 · Cited by 14
“…involving not only Internet/website service, but also other technology-based service with customer co-production through telephone, interactive kiosks, video, and so on attracts more attention (e.g. Meuter, Ostrom, Roundtree, & Bitner, 2000; Dabholkar & Bagozzi, 2002; Ding, Hu, & Sheng, 2011).”
BackgroundOnline Repurchasing: The Role of Information Disclosure, Hope, and Goal Attainment
Fazal‐e‐Hasan, S. M., Ahmadi, H., Mortimer, G., Lings, I. N., Kelly, L., & Kim, H. J. (2019) · Journal of Consumer Affairs · doi:10.1111/joca.12263 · Cited by 15
Shenaar‐Golan, V., Yatzkar, U., & Yaffe, Y. (2021) · American Journal of Men s Health · doi:10.1177/15579883211067103 · Cited by 26
“We tested for significance differences in model fit between the unconstrained model and the fully constrained model, given that insignificant difference in the chi-square value between the two models across groups rules out sex moderation (Dabholkar & Bagozzi, 2002).”
MethodTechnology-Based Self-Service: From Customer Productivity Toward Customer Value
Anıtsal, İ. (2005) · Cited by 14
Bo, B. W. C., & Mula, J. M. (2009) · University of Southern Queensland ePrints (University of Southern Queensland) · Cited by 14
Comprehensive framework for internet banking adoption: an empirical analysis in the Indian context
Vatnani, R., & Verma, S. (2014) · International Journal of Business Information Systems · doi:10.1504/ijbis.2014.059753 · Cited by 14
“…studies show that individual traits of customer may directly influence attitude towards technology adoption, yet most recent studies attempt to study the moderating effect of consumer characteristics or profiles on the TAM hypothesis relations (Dabholkar and Bagozzi, 2002; Yi et al., 2006).”
BackgroundSreejesh, S., Sahoo, D., & Mitra, A. (2016) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-04-2015-0041 · Cited by 14
Niemelä‐Nyrhinen, J., & Leskinen, E. (2014) · The Electronic Journal of Business Research Methods · Cited by 14
Shin, N., Kim, D., Park, S., & Oh, J. (2017) · Information Systems and e-Business Management · doi:10.1007/s10257-017-0345-z · Cited by 14
“…was then divided into ‘‘high’’ and ‘‘low’’ groups to the investigate moderating roles of mobile technology attributes and system barriers in accordance with Baron and Kenny’s (1986, p. 1175) notation that ‘‘the levels of the moderator are treated as different groups’’ (Dabholkar and Bagozzi 2002).”
Investigating consumers’ adoption of SSTs – a case study representing India’s hospitality industry
Kaushik, A. K., & Kumar, V. (2017) · Journal Of Vacation Marketing · doi:10.1177/1356766717725560 · Cited by 15
“Fun is another intrinsic motivation found in adoption-related literature (Chang and Yang, 2008; Dabholkar and Bagozzi, 2002).”
BackgroundPurwanto, S., Hartini, S., & Premananto, G. C. (2019) · Eksis Jurnal Riset Ekonomi dan Bisnis · doi:10.26533/eksis.v14i1.423 · Cited by 14
Haque, M. Z., Qian, A., Amin, M., & Islam, T. (2020) · Journal of Information & Knowledge Management · doi:10.1142/s0219649220500185 · Cited by 14
Groß, M., & Sohn, S. (2020) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2020.1852096 · Cited by 16
Kamble, A. A., Desai, S., & Abhang, N. (2021) · American Journal of Health Education · doi:10.1080/19325037.2021.1955229 · Cited by 15
“”(39) Although the TAM is mainly applied to explain the intentions to use technology, the model constructs are generalized,(40) and the constructs leading to attitude toward use explain the intentions to use technology regularly.(41) Notwithstanding the extensive utilization of TAM to explore newer technologies, the r…”
BackgroundAn investigation of consumer acceptance of M-Banking in Australia
Drennan, J. C., & Wessels, L. (2009) · Cited by 14
Putit, L., & Arnott, D. C. (2007) · University of Warwick · doi:10.82444/warw.33656212 · Cited by 14
Pramatari, K. C., & Theotokis, A. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1329907 · Cited by 14
Really New Services: Perceived Risk and Adoption Intentions
Savas-Hall, S., Koku, P. S., & Mangleburg, T. (2022) · Services Marketing Quarterly · doi:10.1080/15332969.2021.1994193 · Cited by 13
“For the perceived risk dimensions, we adapted the scales used by Featherman and Pavlou (2003), and Dholakia (2001). Three to five items were employed to measure each risk dimension.”
MethodInfluentialGhazali, E. M., Mutum, D. S., & Cheah, J. J. (2025) · Electronic Markets · doi:10.1007/s12525-025-00797-5 · Cited by 15
“Novelty seeking was assessed using four items adapted from Dabholkar and Bagozzi (2002) to capture customers’ tendency to seek out new and stimulating experiences.”
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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