The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Self-efficacy as an antecedent of cognition and affect in technology acceptance
Abstract
Purpose – This paper aims to examine whether self-efficacy plays an important role in shaping the effect of cognition and affects in high technology adoption. It also examines whether cognition and affect mediate the effect of self-efficacy on attitude toward adoption. Design/methodology/approach – Using an experimental survey to collect data, subjects performed two different tasks (utilitarian and hedonic) to make sure that they had cognitive and affective experiences to draw upon as they developed attitudes toward the focal innovation. Structural equation modeling was used to analyze the model. Findings – The result shows that self-efficacy influenced cognitive perceptions and emotional reactions. Specifically, self-efficacy was found to play a substantive role in shaping individuals’ attitudes via a cognitive route (perceived usefulness and ease-of-use) and an affective one (pleasure, arousal and dominance). Research limitations/implications – The study of self-efficacy as an external variable provides further insights into the process and is expected to increase the explained variance of the theoretical model. Practical implications – This study confirms that a belief about something besides the product also plays a key role; it is the confidence consumers have in their own abilities to understand and effectively use a new piece of technology. Originality/value – The research makes important contributions to our understanding of technology acceptance and has implications for marketing managers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“SE may reduce uncertainty when students interact with AR interfaces, allowing them to focus more on therapeutic activities, such as simulated social exposure and cognitive restructuring, rather than on the complexity of the technology itself [96,97,98,99].”
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
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
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 20,015
Research works printed but not linked: 3
- Colkin, E. (2002), “Teens ace IT shortcuts”, Information Week, Vol. 879 No. 11, p. -.
- Hoyle, R.H. (1995), Structural Equation Modeling: Concepts, Issues and Applications, Sage Publications, Inc. Thousand Oaks, CA.
- Nunnally, J.C. and Bernstein, I. (1994), Psychometric theory, 3rd ed., McGraw-Hill, New York, NY.
Cited by
Sorted by citations
Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services
Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.013 · Cited by 956
Understanding academics' adoption of learning technologies: A systematic review
Liu, Q., Geertshuis, S., & Grainger, R. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103857 · Cited by 279
Predicting consumer responses to a chatbot on facebook
Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0518 · Cited by 229
Ritz, W., Wolf, M., & McQuitty, S. (2019) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-04-2018-0062 · Cited by 219
Priya, B., & Sharma, V. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107912 · Cited by 167
Attitudes towards artificial intelligence at work: Scale development and validation
Park, J., Woo, S. E., & Kim, J. (2024) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.12502 · Cited by 150
Technology acceptance research: Meta-analysis
Marikyan, D., Papagiannidis, S., & Stewart, G. (2026) · Journal of Information Science · doi:10.1177/01655515231191177 · Cited by 140
“This is not surprising, as prior research provided mixed results [133–135].”
Song, B., Zhang, M., & Wu, P. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103278 · Cited by 119
An empirical study of consumers' intention to use biometric facial recognition as a payment method
Moriuchi, E. (2021) · Psychology and Marketing · doi:10.1002/mar.21495 · Cited by 108
Eşiyok, E., Gökçearslan, Ş., & Küçükergi̇n, K. G. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2303557 · Cited by 122
“Another study has revealed that self-efficacy indirectly influences an individual ’ s technology acceptance through perceived usefulness (Al-Rahmi et al., 2020; Kulviwat et al., 2014), and PEU (Al-Rahmi et al., 2020; Hasan, 2006).”
InfluentialFarah, M. F. (2017) · International Journal of Bank Marketing · doi:10.1108/ijbm-01-2016-0003 · Cited by 94
Tao, D., Shao, F., Wang, H., Yan, M., & Qu, X. (2020) · Health Informatics Journal · doi:10.1177/1460458219879337 · Cited by 96
E-consumer adoption of innovative last-mile logistics services: A comparison of behavioural models
Wang, X., Yuen, K. F., Wong, Y. D., & Teo, C. (2018) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2018.1485484 · Cited by 77
Universiti Pendidikan Sultan Idris, M., Yeop, M. A., Yaakob, M. F. M., Universiti Utara Malaysia, M., Wong, K., Universiti Pendidikan Sultan Idris, M., Don, Y., Universiti Utara Malaysia, M., Zain, F. M., & Universiti Utara Malaysia, M. (2018) · International Journal of Instruction · doi:10.29333/iji.2019.12149a · Cited by 81
“This situation proves that individuals with positive self-efficacy are able to handle the tasks perfectly (Banas & York, 2014; Kulviwat, Bruner, & Neelankavil, 2014), and are more open in accepting technology-related innovations (SeriRahayu, 2011).”
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
Galatsopoulou, F., Kenterelidou, C., Kotsakis, R., & Matsiola, M. (2022) · Education Sciences · doi:10.3390/educsci12020074 · Cited by 83
“It plays an essential role in affecting motivation and behaviour [10]; it concerns the beliefs about the ability to perform a particular behaviour, and it contributes significantly to the effective use of technology [43,44].”
BackgroundDeschênes, A. (2023) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2023.100351 · Cited by 124
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
Recalde, D., Jai, T.-M. C., & Jones, R. P. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103764 · Cited by 68
Tetri, B., & Juujärvi, S. (2022) · Psychology Research and Behavior Management · doi:10.2147/prbm.s340867 · Cited by 51
“20 Application-specific self-efficacy also predicts consumer acceptance of health information portals.”
BackgroundThe two perfect scorers for technology acceptance
Reddy, P., Chaudhary, K., Sharma, B. N., & Chand, R. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10320-2 · Cited by 51
“…is the main determinant of an individual ’ s behaviour whereas intention to behave is determined by an individual ’ s attitude towards the behaviour and their perception about the subject (Tao et al. 2019; Cacciamani et al. 2018; Rabaa 2016; Teo 2016; Kulviwat et al. 2013; Al-Haderi 2013).”
BackgroundMethodSelf-efficacy and anxiety as determinants of older adults’ use of Internet Banking Services
Peral, B. P., Ramos, Á. F. V., & Arenas-Gaitán, J. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-019-00691-w · Cited by 49
“…been shown how academic self-efficacy influences academic performance in high school students [18] and that self-efficacy has a positive influence on perceived usefulness in the case of carrying out two activities—utilitarian and hedonic—via a tablet device, in the case of college students [55].”
BackgroundZefreh, M. M., Edries, B., & Esztergár‐Kiss, D. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102314 · Cited by 42
Antecedents and moderators of brand trust in the context of baby care toiletries
Srivastava, N., Dash, S. B., & Mookerjee, A. (2015) · Journal of Consumer Marketing · doi:10.1108/jcm-09-2014-1157 · Cited by 47
“Other variables, such as self-efficacy and similarity, have been identified to relate to affective trust (Kulviwat et al., 2014; Johnson and Grayson, 2005).”
BackgroundChen, C., Zhang, K. Z. K., Gong, X., Lee, M., & Wang, Y. (2019) · Information Systems Journal · doi:10.1111/isj.12264 · Cited by 37
“Self-efficacy (Kulviwat, Bruner, & Neelankavil, 2014) SE1: I am able to reduce my use of smartphone games without the help of others.”
BackgroundMuseli, A., & Navimipour, N. J. (2018) · Kybernetes · doi:10.1108/k-07-2017-0246 · Cited by 36
Ma, C., Fan, A., & Mattila, A. S. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103685 · Cited by 30
Normative Characteristics of Perceived Self-Efficacy
Gangloff, B., & Mazilescu, C.-A. (2017) · Social Sciences · doi:10.3390/socsci6040139 · Cited by 36
Zhong, Z., & Hamouda, M. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2377 · Cited by 40
Stewart, A. E. (2015) · Journal of Marine Science and Engineering · doi:10.3390/jmse3030630 · Cited by 34
“For example, researchers discussed and examined efficacy within the contexts of: (1) engineering design [34]; (2) scientific leadership in marine ecology [35]; (3) technology adoption [36]; (4) teaching science in the K-12 grades [37]; and (5) coping with the psychological aftermath of a hurricane [38], among many oth…”
BackgroundLim, J. S., Shin, D., Lee, C., Kim, J., & Zhang, J. (2025) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2025.2487679 · Cited by 32
Manolika, M., Kotsakis, R., Matsiola, M., & Kalliris, G. M. (2021) · Psychological Reports · doi:10.1177/0033294121997784 · Cited by 32
Yen, Y. (2016) · Management Decision · doi:10.1108/md-11-2015-0526 · Cited by 35
Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots
Huang, S. Y. B., Lee, C.-J., & Lee, S.-C. (2021) · Sensors · doi:10.3390/s21175687 · Cited by 34
MINAT PENGGUNAAN CASHLESS PAYMENT SYSTEM – DOMPET DIGITAL PADA MAHASISWA DI FE UNJ
Febrilia, I., Pratiwi, S. P., & Djatikusumo, I. (2020) · Jurnal Riset Manajemen Sains Indonesia · doi:10.21009/jrmsi.011.1.01 · Cited by 27
Stay in touch! New insights into end-user attitudes towards engagement platforms
Marino, V., & Presti, L. L. (2019) · Journal of Consumer Marketing · doi:10.1108/jcm-05-2018-2692 · Cited by 29
The effects of temperature cues on charitable donation
Rai, D., Lin, C.-W. W., & Yang, C. (2017) · Journal of Consumer Marketing · doi:10.1108/jcm-07-2015-1505 · Cited by 26
Roberts, C. A., Sage, A., Geryk, L. L., Sleath, B. L., & Carpenter, D. M. (2018) · JMIR Formative Research · doi:10.2196/10055 · Cited by 25
“In the context of technology adoption, research shows that self-efficacy, or the “confidence consumers have in their own abilities to understand and effectively use a new piece of technology” [25], plays a substantive role in shaping an individual’s perceived usefulness and ease of use of technology [25].”
BackgroundParmaksız, İ. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10996-8 · Cited by 29
“Self-efficacy is a self-evaluation attitude that affects the decision to perform a behavior, and contributes significantly to the effective use of technology (Kulviwat et al., 2014).”
BackgroundInvestigating the E-Readiness of Informal Sector Operators to Utilize Web Technology Portal
Etim, E., & Daramola, O. J. (2023) · Sustainability · doi:10.3390/su15043449 · Cited by 23
Predicting the Drivers of the Intention to Use Mobile Learning in South Korea
Kim, H., & Rha, J. (2018) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v12i1.7688 · Cited by 23
“Self-efficacy as an index may measure an individual’s self-confidence in utilizing innovation [27], and it is an important factor that affects high technology adoption [28].”
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
“Applying the theories of consumer acceptance of technology (CAT) and TAM, Kulviwat et al. (2013) tried to provide a framework to understand how external factors influence acceptance or rejection of new technology, building on the central idea of self-efficacy theory – which is based on the…”
BackgroundMethodInfluentialChen, C., Zhang, K. Z. K., Gong, X., & Lee, M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.11.025 · Cited by 23
The adoption of self-service check-in kiosks among commercial airline passengers
Wongyai, P. H., Suwannawong, K., Wannakul, P., Thepchalerm, T., & Arreeras, T. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38676 · Cited by 22
“Previous research has found that self-efficacy influences attitudes toward using technology by perceiving technology use as effortless and beneficial [71].”
BackgroundAlamäki, A. V., Dirin, A., Suomala, J., & Rhee, C. (2021) · Journal of Information Technology Education Research · doi:10.28945/4816 · Cited by 19
“Thus, impression, cognition and affection are not separate or exclusive concepts; they are often interrelated in human behavior, y et the individual character affects the human perceptions that influence individual affective experiences (e.g., Alamäki et al., 2019; Kulviwat et al., 2014).”
BackgroundConsumer’s acceptance of retail service robots: mediating role of pleasure and arousal
Alam, S., Abdullah, S., Kokash, H. A., Ahmed, S., & Omar, N. A. (2024) · Journal of Decision System · doi:10.1080/12460125.2024.2318527 · Cited by 20
The acceptance of school counselor in the use of ICT during school from home in the Covid-19 era
Abdillah, H., Setyosarı, P., Lasan, B. B., & Muslihati, M. (2020) · Journal for the Education of Gifted Young Scientists · doi:10.17478/jegys.804939 · Cited by 18
Is the internet a double-edged sword for organizations? An empirical study on cyberloafing
Sarfraz, M., Khawaja, K. F., & Um-e-Farwah (2023) · Information Technology and Management · doi:10.1007/s10799-022-00385-5 · Cited by 17
“Kulviwat et al. [44] observed a link between employees' trust in their technical skills and their systems use.”
AN EMPIRICAL STUDY ON ORGANIZATIONAL ACCEPTANCE ACCOUNTING INFORMATION SYSTEMS IN SHARIA BANKING
Khairi, M. S., & Baridwan, Z. (2015) · The Indonesian journal of accounting and business society · Cited by 17
Recent Developments in Individual Difference Research to Inform the Adoption of AI Technology
Symasek, L. W., Yeazitzis, T., Weger, K., & Mesmer, B. L. (2025) · Systems · doi:10.3390/systems13030156 · Cited by 18
Cognitive determinants of self-care behaviors among patients with heart failure: A path analysis
Nadrian, H., Shojafard, J., Mahmoodi, H., Rouhi, Z., & Rezaeipandari, H. (2018) · Health Promotion Perspectives · doi:10.15171/hpp.2018.39 · Cited by 16
The effect of touch simulation in virtual reality shopping
Lee, H. K., Yoon, N., & Choi, D. (2022) · Fashion and Textiles · doi:10.1186/s40691-022-00312-w · Cited by 15
“These results can be explained by the theory of optimal flow (Kulviwat et al., 2014), whereby the necessary skills for achieving a difficult and demanding task enhance one’s positive emotions about the task (Csikszentmi-halyi, 1990; Hoffman & Novak, 1996).”
BackgroundMethodInfluentialExploring the role of innovation attributes on mobile payment adoption
Arli, D. I., & Bakpayev, M. (2023) · Journal of Consumer Marketing · doi:10.1108/jcm-04-2021-4630 · Cited by 15
Let me shop alone: Consumers' psychological reactance toward retail robotics
Ha, S., Park, J., & Jeong, S. W. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123962 · Cited by 17
Wei, F., Hwang, B., Zhu, H., & Ngo, J. (2023) · Sustainable Development · doi:10.1002/sd.2869 · Cited by 18
Purwanto, S., Hartini, S., & Premananto, G. C. (2019) · Eksis Jurnal Riset Ekonomi dan Bisnis · doi:10.26533/eksis.v14i1.423 · Cited by 14
Unlocking technology acceptance among South African employees: A psychological perspective
Valle, M. N. D., Łaba, K., & Mayer, C. (2024) · SA Journal of Industrial Psychology · doi:10.4102/sajip.v50i0.2177 · Cited by 13
“It has been increasingly recognised that further explanatory variables are required to grasp an individual’s technological acceptance of technological changes (Kulviwat et al., 2014; Samaradiwakara & Gunawardena, 2014; Sohn & Kwon, 2020).”
BackgroundUse of central bank digital currency in the travel context
Lee, K., Kim, M., Yoon, S., & Kim, J.-Y. (2025) · Information Technology & Tourism · doi:10.1007/s40558-024-00307-x · Cited by 13
“Thus, self-efficacy influences attitudes in various contexts including technology adoption (Kulviwat et al. 2014).”
Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study
El-Sobkey, S. B., Kelini, K. I., ElKholy, M., Abdeldayem, T., Abdallah, M., Mohamed, D. A.-A., Fawzy, A., Ahmed, Y. F., El Khatib, A., Khalid, H., et al. (2025) · JMIR Medical Education · doi:10.2196/76574 · Cited by 11
“The first stage includes PU and PEU, which reflect students’ perceptions of usefulness and ease of use [26,27].”
Understanding customer attitude toward advergames: an extended TAM approach
Pour, M. J., Kazemi, Z., & Moeini, H. (2023) · Arts and the Market · doi:10.1108/aam-01-2022-0001 · Cited by 14
de Camargo, K. R., Guedes, C. R., Caetano, R., Menezes, A., & Trajman, A. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-0941-x · Cited by 11
“suggestion that self-efficacy also plays a role in technology acceptance [28] may apply here as well, at least in the case of the lab technicians.”
BackgroundOksanen, A., Osma, T., Heiskari, M., Cvetkovic, A., Ruokosuo, E. S., Koike, M., Arriaga, P., & Savolainen, I. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100251 · Cited by 10
Sumithra, S., & Sakshi, S. (2024) · Indian Journal of Information Sources and Services · doi:10.51983/ijiss-2024.14.1.4033 · Cited by 10
Understanding quality factors of electronic health service in an emerging economy
Al-Emran, M., Islam, S., & Harun, A. (2022) · Quality Management Journal · doi:10.1080/10686967.2022.2083038 · Cited by 11
“Some of these theories have been further validated and extended by many researchers (see Arora and Sahney 2018; Kulviwat, Bruner, and Neelankavil 2014; Chtourou and Souiden 2010) Amid the conceptual arguments regarding object-based perception and behavioral outcomes in the field of IS success…”
BackgroundHaron, H. B., Nor, F. M., Johari, F. B., Misbah, H., & Shafii, Z. (2023) · Journal of Islamic accounting and business research · doi:10.1108/jiabr-06-2022-0146 · Cited by 10
Yang, C., Tao, S., & Cai, Y. (2023) · Current Psychology · doi:10.1007/s12144-023-04781-0 · Cited by 10
“Kulviwat et al. (2014 ) also found that self-efficacy could increase the adop - tion of new products by influencing consumers’ feelings on perceived usefulness and ease of use.”
Elkefi, S., & Layeb, S. B. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2137060 · Cited by 10
The Impact of Personality Traits Towards the Intention to Adopt Mobile Learning
Sanjebad, N. N., Shrestha, A., & Shahid, P. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64861-9_17 · Cited by 10
“Self-ef fi cacy as an index may measure an individual ’ s self-con fi dence in utilizing innovation, and it is an important factor that affects high technology adoption [27].”
BackgroundDeterminants influencing the adoption of artificial intelligence technology in non-life insurers.
Nguyen, T. H. D., Nguyen, X. T., Le, T. H. T., & Bui, Q. A. (2024) · Corporate Governance and Organizational Behavior Review · doi:10.22495/cgobrv8i1p17 · Cited by 9
“Perceived self-efficacy ( PSE ) : According to Kulviwat et al. (2014), self-efficacy plays an essential role in shaping the impact of cognition and its effects on high technology adoption.”
BackgroundVaping among youth: reasons, realization and intention to quit
Thapa, S., Pandey, S. C., Panda, S., Paswan, A. K., & Ghimire, A. (2022) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-12-2021-1429 · Cited by 12
Asheq, A. A., Hasan, R., & Coughlan, J. P. (2025) · Journal of Travel Research · doi:10.1177/00472875251337718 · Cited by 8
“The CAT model (Kulviwat et al., 2007) has been identified as one of the pivotal models for explaining consumers’ behavioral reactions toward a new technology (Kulviwat et al., 2014).”
Zou, Z., Jin, J., Yang, J., Liu, D., & Zhang, X. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124282 · Cited by 10
Wang, Y.-L. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.101945 · Cited by 6
Miyazaki, A. D., & Haderlie, T. C. (2025) · Journal of Services Marketing · doi:10.1108/jsm-01-2025-0041 · Cited by 5
Rudawska, I., Krot, K., & Porada-Rochoń, M. (2024) · Human Technology · doi:10.14254/1795-6889.2024.20-1.6 · Cited by 6
“Earlier investigations have demonstrated the influence of self-efficacy particularly on the perceived utility and perceived ease of use of technology in a broad sense (Kulviwat et al., 2014), including applications in health informatics (Tsai, 2014).”
BackgroundZhang, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-01552-8 · Cited by 13
Adu, I. N., Donkor, A. B., & Okpoti, C. A. (2016) · International Journal of Information Systems and Change Management · doi:10.1504/ijiscm.2016.084051 · Cited by 5
Gurney, L., Eveland, J., & Guzman, I. R. (2019) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/3322385.3322406 · Cited by 5
“The insight derived from the variables ‘frequency of shopping’ and ‘years shopping’ only confirm the greater the inclination to trust, the more likely a customer has experience shopping online and is willing to trust an online vendor [20].”
BackgroundMOOCs Continuance Intention in Malaysia: The Moderating Role of Internet Self-efficacy
Rahim, M. K. I. A., & Mohamad, M. (2018) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · Cited by 4
El-Sobkey, S. B., ElKholy, M., Abdallah, M., Mohamed, D. A.-A., & Abdeldayem, T. S. (2026) · Journal of Taibah University Medical Sciences · doi:10.1016/j.jtumed.2026.01.006 · Cited by 3
Determinants of Consumer’s Purchasing Behavior towards Online Food Delivery Services
Jusoh, Z. M., Saworo, S. N. W., Rahiman, N., & Zainudin, N. (2022) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v12-i12/16008 · Cited by 3
Aadmi-Laamech, K. E., Santos, P., & Hernández‐Leo, D. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100706 · Cited by 3
Comparison of Attitudes Towards Robots of Different Population Samples in Norway
Bloch, M., & Fernandes, A. (2023) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3568294.3580151 · Cited by 3
“…could also have an effect, as it has been shown that education, technical proficiency, and efficacy influence perceptions of novel technologies [14] Many were working in tech related fields and presumably have more domain knowledge than the general population, leading to less anxiety of robots…”
BackgroundWang, Y. M. (2023) · AIS Transactions on Replication Research · doi:10.17705/1atrr.00077 · Cited by 3
(2024) · Journal of System and Management Sciences · doi:10.33168/jsms.2024.0407 · Cited by 3
Important but not for Me: Understanding Older Adults’ Resistance to Gerontechnology
Teh, P., Wang, H., Phang, C. W., Chan, A. H. S., & Butt, H. P. (2024) · Springer eBooks · doi:10.1007/978-981-97-2211-2_2 · Cited by 3
Meena, R., & Sarabhai, S. (2024) · Journal of Marketing Communications · doi:10.1080/13527266.2024.2394782 · Cited by 4
“Fourth, PSE is based on the subjectivity of the evaluator and consumer (Kulviwat, Bruner Ii, and Neelankavil 2014), as it may not reflect actual competence.”
Soltani, M., Jandaghı, G., & Shahraki, P. F. (2017) · Iranian journal of management studies · doi:10.22059/ijms.2017.60244 · Cited by 3
“In adopting a technology, such as virtual co-creation, self-efficacy is important and refers to how self-confident one is in him or her being able to use an innovative system for attaining a preferred goal (Venkatesh, 2000; Kulviwat et al., 2014).”
BackgroundResultThe Perceived Usefulness of Patient Narrative Feedback in Primary Care Settings
Matta, S., Lee, Y. S. H., Grob, R., Schlesinger, M. J., & Nembhard, I. M. (2024) · Patient Experience Journal · doi:10.35680/2372-0247.1943 · Cited by 2
No Wind is Favorable Unless the Sailor is Participative: Customer Participation in Marina Services
KOÇ, E., Deveci, D. A., & Yıldırım, C. (2023) · Journal of ETA Maritime Science · doi:10.4274/jems.2023.36034 · Cited by 2
Söylemez, M., & Tolon, M. (2019) · Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi · doi:10.18506/anemon.532307 · Cited by 2
Teachers and Interactive White Boards: A Qualitative Investigation in the Margin of Technophobia.
Bardakçı, S., & Ünver, T. K. (2020) · Australian educational computing · Cited by 2
Chang, H. J., & Min, S. (2022) · Fashion and Textiles · doi:10.1186/s40691-022-00292-x · Cited by 2
“Self-efficacy makes a person confident, which comes from their personal belief (Kulviwat et al., 2014).”
BackgroundHao, Y. A. (2024) · Journal of big data and computing. · doi:10.62517/jbdc.202401401 · Cited by 1
Mobile FinTech Adoption for Remittance Among Women Migrants of India: A UTAUT 2 Model Perspective
Nisha, S., & Jayaraman, R. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-00444-4_45 · Cited by 1
Demystifying the mist: Why do individuals hesitate to accept AI educational services?
Shao, A., Lü, Z., Liu, S. Q., Shi, Y., & Lu, W. (2025) · British Journal of Psychology · doi:10.1111/bjop.70040 · Cited by 1
“…dimension involves information processing, reasoning, memory and knowledge structures (e.g., trust in AI, Klingbeil et al., 2024; Leschanowsky et al., 2024; Rheu et al., 2021; perceived usefulness, Ling et al., 2021; Pitardi & Marriott, 2021; and technology self-efficacy, Kulviwat et al., 2014).”
Mufidah, E. F., Atmoko, A., Muslihati, Ramli, M., & Liaw, J. O. H. (2025) · Journal of Neonatal Nursing · doi:10.1016/j.jnn.2025.101764 · Cited by 1
Peng, Y., & Liu, Z. (2026) · BMC Public Health · doi:10.1186/s12889-026-26580-5 · Cited by 1
“When tools fail to meet their social and health needs, they are more likely to develop a sense of “technological uselessness,” which reduces participation willingness [133] and weakens health outcomes [134].”
Shi, W., Ramzy, M. I., & Ali, S. K. S. (2026) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2026.2692491 · Cited by 2
“Existing research often treats PEU and PU as direct reflections of technological attributes, while relatively neglecting the subjective assessments of capability formed by individuals during interactions with AI systems (Kulviwat, Bruner, and Neelankavil 2014).”
The Role of Consumer Impulsivity and Self-Efficacy on User Manual Behavior
Kutlu, M. B. (2022) · Advances in educational marketing, administration, and leadership book series · doi:10.4018/978-1-6684-5039-0.ch013 · Cited by 1
Metadata
- Authors
- Kulviwat, S., C. Bruner II, G., & P. Neelankavil, J.
- Affiliations
- Hofstra University (US)
- Venue
- Journal of Consumer Marketing
- Publisher
- Emerald
- Published
- 2014-05-06
- Volume
- 31
- Issue
- 3
- Pages
- 190-199
- ISSN
- 0736-3761 (ISSN-L)
- OpenAlex
- W2063919763
- Cited by
- 144
- References
- 78
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 25 · 2023: 18 · 2022: 16 · 2021: 7 · 2020: 8 · 2019: 10 · 2018: 12 · 2017: 5 · 2016: 3 · 2015: 4
- FWCI
- 7.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Consumer Marketing (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Gender Studies › Gender and Technology in Education
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- self-efficacy, technology acceptance, perceived usefulness, perceived ease of use, pleasure, arousal, dominance, consumer technology adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review