Self-efficacy as an antecedent of cognition and affect in technology acceptance

Kulviwat, Songpol; C. Bruner II, Gordon; P. Neelankavil, James

doi:10.1108/jcm-10-2013-0727

Cited by 144Technology Adoption and User BehaviourGender and Technology in EducationInnovative Human-Technology Interaction

Self-efficacy as an antecedent of cognition and affect in technology acceptance

Kulviwat, Songpol, C. Bruner II, Gordon, P. Neelankavil, James·2014·Journal of Consumer Marketing

DOI 10.1108/jcm-10-2013-0727

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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.

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SE may reduce uncertainty when students interact with AR interfaces, allowing them to focus more on therapeutic activities rather than on the complexity of the technology itself.
“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].”
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Self-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 · see citing works
“…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].”
Background
Understanding the antecedents of hedonic motivation in autonomous vehicle technology acceptance domain: A cross-country analysis
Zefreh, M. M., Edries, B., & Esztergár‐Kiss, D. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102314 · Cited by 42 · see citing works
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 42 · see citing works
“Other variables, such as self-efficacy and similarity, have been identified to relate to affective trust (Kulviwat et al., 2014; Johnson and Grayson, 2005).”
Background
Decreasing the problematic use of an information system: An empirical investigation of smartphone game players
Chen, C., Zhang, K. Z. K., Gong, X., Lee, M., & Wang, Y. (2019) · Information Systems Journal · doi:10.1111/isj.12264 · Cited by 37 · see citing works
“Self-efficacy (Kulviwat, Bruner, & Neelankavil, 2014) SE1: I am able to reduce my use of smartphone games without the help of others.”
Background
A model for examining the factors impacting the near field communication technology adoption in the organizations
Museli, A., & Navimipour, N. J. (2018) · Kybernetes · doi:10.1108/k-07-2017-0246 · Cited by 36 · see citing works
Decoding the shared pathways of consumer technology experience in hospitality and tourism: A meta-analysis
Ma, C., Fan, A., & Mattila, A. S. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103685 · Cited by 30 · see citing works
Normative Characteristics of Perceived Self-Efficacy
Gangloff, B., & Mazilescu, C.-A. (2017) · Social Sciences · doi:10.3390/socsci6040139 · Cited by 36 · see citing works
The impact of immersive and flow experiences on consumer participation in hyper‐connected shopping platforms: A metaverse perspective
Zhong, Z., & Hamouda, M. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2377 · Cited by 40 · see citing works
The Measurement of Personal Self-Efficacy in Preparing for a Hurricane and Its Role in Modeling the Likelihood of Evacuation
Stewart, A. E. (2015) · Journal of Marine Science and Engineering · doi:10.3390/jmse3030630 · Cited by 34 · see citing works
“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…”
Background
The Role of User Empowerment, AI Hallucination, and Privacy Concerns in Continued Use and Premium Subscription Intentions: An Extended Technology Acceptance Model for Generative AI
Lim, 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 · see citing works
Direct and Indirect Associations of Personality With Audiovisual Technology Acceptance Through General Self-Efficacy
Manolika, M., Kotsakis, R., Matsiola, M., & Kalliris, G. M. (2021) · Psychological Reports · doi:10.1177/0033294121997784 · Cited by 32 · see citing works
Factors enhancing the posting of negative behavior in social media and its impact on venting negative emotions
Yen, Y. (2016) · Management Decision · doi:10.1108/md-11-2015-0526 · Cited by 31 · see citing works
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 · see citing works
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 · see citing works
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 26 · see citing works
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 · see citing works
Adolescent Preferences and Design Recommendations for an Asthma Self-Management App: Mixed-Methods Study
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 · see citing works
“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].”
Background
The mediating role of personality traits on the relationship between academic self-efficacy and digital addiction
Parmaksız, İ. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10996-8 · Cited by 25 · see citing works
“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).”
Background
Investigating 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 · see citing works
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 · see citing works
“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 · see citing works
“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…”
BackgroundMethodInfluential
Failure to decrease the addictive usage of information technologies: A theoretical model and empirical examination of smartphone game users
Chen, 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 · see citing works
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 · see citing works
“Previous research has found that self-efficacy influences attitudes toward using technology by perceiving technology use as effortless and beneficial [71].”
Background
Students’ Experiences of 2D and 360° Videos With or Without a Low-Cost VR Headset: An Experimental Study in Higher Education
Alamäki, A. V., Dirin, A., Suomala, J., & Rhee, C. (2021) · Journal of Information Technology Education Research · doi:10.28945/4816 · Cited by 19 · see citing works
“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).”
Background
Consumer’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 · see citing works
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 · see citing works
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 · see citing works
“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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
“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).”
BackgroundMethodInfluential
Exploring 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 · see citing works
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 14 · see citing works
Project management for sustainable development: Critical determinants of technological competency for project managers with smart technologies
Wei, F., Hwang, B., Zhu, H., & Ngo, J. (2023) · Sustainable Development · doi:10.1002/sd.2869 · Cited by 14 · see citing works
Understanding Consumer Intention to Use Go-Pay: Development and Testing of Technology Acceptance Models for Consumers
Purwanto, S., Hartini, S., & Premananto, G. C. (2019) · Eksis Jurnal Riset Ekonomi dan Bisnis · doi:10.26533/eksis.v14i1.423 · Cited by 14 · see citing works
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 · see citing works
“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).”
Background
Use 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 · see citing works
“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 · see citing works
“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 · see citing works
The adoption of a new diagnostic technology for tuberculosis in two Brazilian cities from the perspective of patients and healthcare workers: a qualitative study
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 · see citing works
“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.”
Background
Mapping AI learning readiness self-efficacy worldwide: Scale validation and cross-continental patterns
Oksanen, 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 · see citing works
Exploring the Factors Influencing Usage Behavior of the Digital Library Remote Access (DLRA) Facility in a Private Higher Education Institution in India
Sumithra, S., & Sakshi, S. (2024) · Indian Journal of Information Sources and Services · doi:10.51983/ijiss-2024.14.1.4033 · Cited by 10 · see citing works
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 · see citing works
“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…”
Background
Factors influencing the behavioural intention to accept benefidonor concept among stakeholders of Waqf
Haron, 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 · see citing works
Do busy consumers prefer new products? A study on the effect of a busy mindset on the evaluation of new products
Yang, C., Tao, S., & Cai, Y. (2023) · Current Psychology · doi:10.1007/s12144-023-04781-0 · Cited by 10 · see citing works
“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.”
Telemedicine’s future in the post-Covid-19 era, benefits, and challenges: a mixed-method cross-sectional study
Elkefi, S., & Layeb, S. B. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2137060 · Cited by 10 · see citing works
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 · see citing works
“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].”
Background
Determinants 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 · see citing works
“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.”
Background
Vaping 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 8 · see citing works
Social Networking Site Users’ Behavioral Responses Toward Travel Destinations Promoted by Virtual Influencers: A Multiple-Model Comparison Approach
Asheq, A. A., Hasan, R., & Coughlan, J. P. (2025) · Journal of Travel Research · doi:10.1177/00472875251337718 · Cited by 8 · see citing works
“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).”
How do farmers' cognition and social networks affect the adoption behavior of straw-returning technology? Evidence from the black soil region of Northeast China
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 7 · see citing works
Examining engagement orientations and learning profiles of older adult learners in technology-enhanced environments through the lens of cognitive dissonance theory
Wang, Y.-L. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.101945 · Cited by 6 · see citing works
Emotional AI as a facilitator of co-created service value in a health-care ecosystem: a collective framework
Miyazaki, A. D., & Haderlie, T. C. (2025) · Journal of Services Marketing · doi:10.1108/jsm-01-2025-0041 · Cited by 5 · see citing works
Unveiling the nexus of technology acceptance in healthcare: Empirical exploration of the multifaceted drivers
Rudawska, I., Krot, K., & Porada-Rochoń, M. (2024) · Human Technology · doi:10.14254/1795-6889.2024.20-1.6 · Cited by 6 · see citing works
“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).”
Background
Teacher adoption of digital education management systems through combined information systems and social cognitive frameworks during post-COVID era
Zhang, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-01552-8 · Cited by 13 · see citing works
Reactions to technology change initiatives by library professionals: a model for change management in academic libraries
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 · see citing works
"What you say, I buy!"
Gurney, L., Eveland, J., & Guzman, I. R. (2019) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/3322385.3322406 · Cited by 5 · see citing works
“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].”
Background
MOOCs 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 · see citing works
Use of ChatGPT in physical therapy education: Comparative study of usefulness to students and ease of use perceptions, and descriptions of usage patterns
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 · see citing works
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 · see citing works
Impact of basic psychological needs fulfillment on teachers’ well-being in Online Communities: Designing for well-being
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 · see citing works
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 · see citing works
“…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…”
Background
Decreasing the Problematic Use of an Information System: A Conceptual Replication in the Context of Digital Streaming Services
Wang, Y. M. (2023) · AIS Transactions on Replication Research · doi:10.17705/1atrr.00077 · Cited by 3 · see citing works
Leveraging Digital Innovations during External Shocks: Analyzing Social Media’s Flexibility in Sustaining Jordanian SME Performance
(2024) · Journal of System and Management Sciences · doi:10.33168/jsms.2024.0407 · Cited by 3 · see citing works
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 · see citing works
Extrinsic motivators driving adults purchase intention on mobile apps: The mediating role of self-efficacy and facilitating conditions
Meena, R., & Sarabhai, S. (2024) · Journal of Marketing Communications · doi:10.1080/13527266.2024.2394782 · Cited by 3 · see citing works
“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.”
Co-Creation Intention; Presenting a Model of Antecedents and its Impact on Attitude Toward the Product (Case Study in Shatel Company)
Soltani, M., Jandaghı, G., & Shahraki, P. F. (2017) · Iranian journal of management studies · doi:10.22059/ijms.2017.60244 · Cited by 3 · see citing works
“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).”
BackgroundResult
The 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 · see citing works
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 · see citing works
Entelektüel Uyarımın Özyeterlilik Üzerindeki Etkisinde Kişi-İş Uyumunun İçsel Atıf Eksenli Aracılık Rolü
Söylemez, M., & Tolon, M. (2019) · Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi · doi:10.18506/anemon.532307 · Cited by 2 · see citing works
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 · see citing works
Evaluation of 3D apparel design spatial visualization training for cognitive function of older adults: cross-cultural comparisons
Chang, H. J., & Min, S. (2022) · Fashion and Textiles · doi:10.1186/s40691-022-00292-x · Cited by 2 · see citing works
“Self-efficacy makes a person confident, which comes from their personal belief (Kulviwat et al., 2014).”
Background
Investigating Factors Influencing The Intention of Social Media Users to Use Generative AI for Health Misinformation Fact Checking with an Extended Technology Acceptance Model(TAM)
Hao, Y. A. (2024) · Journal of big data and computing. · doi:10.62517/jbdc.202401401 · Cited by 1 · see citing works
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 · see citing works
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 · see citing works
“…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).”
Reframing paternal self-efficacy through affective pathways: A Suryomentaram perspective on Kangaroo care
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 · see citing works
Intelligent living environments and older adults’ health outcomes: roles of social support and self-efficacy
Peng, Y., & Liu, Z. (2026) · BMC Public Health · doi:10.1186/s12889-026-26580-5 · Cited by 1 · see citing works
“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].”
Confidence in generative artificial intelligence for enhancing employability: Evidence from higher education
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 1 · see citing works
“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 · see citing works

The Role of Self-Efficacy in Predicting Technology Acceptance
Kulviwat, S., Bruner, G. C., & Neelankavil, J. P. (2014) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-11779-9_63 · Cited by 5 · see citing works
Executive summary of “Self-efficacy as an antecedent of cognition and affect in technology acceptance”
(2014) · Journal of Consumer Marketing · doi:10.1108/jcm-04-2014-0935 · Cited by 1 · see citing works
Impact of Cognition, Affect, and Social Factors on Technology Adoption
Thakur, R., & AlSaleh, D. (2019) · International Journal of Technology Marketing · doi:10.1504/ijtmkt.2019.10022391 · Cited by 1 · see citing works
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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)
DOI: 10.1108/jcm-10-2013-0727
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
Licence: www.emerald.com/insight/site-policies (tdm)
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

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Self-efficacy as an antecedent of cognition and affect in technology acceptance

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