Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory

Li, Chia-Ying

doi:10.1016/j.chb.2012.09.003

Cited by 343Technology Adoption and User BehaviourInformation Systems Theories and ImplementationInnovative Human-Technology Interaction

Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory

Li, Chia-Ying·2013·Computers in Human Behavior

DOI 10.1016/j.chb.2012.09.003

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eWoM is seen as a reliable source of information and therefore has more influence than traditional WoM.
“Because of these merits, eWoM is seen as a reliable source of information [33] and, therefore, it has more influence than the traditional WoM [39].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [33]
The rise in digital channels such as online recommendations and customer review sites made it easier and quicker for consumers to acquire needed information from the internet.
“This is expected since the rise in digital channels such as online recommendations and customer review sites made it easier and quicker for consumers to acquire their needed information from the internet [33].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [33]

Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
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 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549 · see citing works
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222 · see citing works
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390 · see citing works
Multivariate Data Analysis, 6th ed
Tatham, R. L., Anderson, R. E., Babin, B. J., Black, W. C., & Hair, J. F. (2006) · Cited by 9,807 · see citing works
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
Handbook of Personality: Theory and Research
Krueger, R. F., & Johnson, W. (2008) · Cited by 7,884 · see citing works
The Psychology of Attitudes
Chakravarti, D., Eagly, A. H., & Chaiken, S. (1997) · Journal of Marketing Research · doi:10.2307/3151869 · Cited by 7,169 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819 · see citing works
Index Construction with Formative Indicators: An Alternative to Scale Development
Diamantopoulos, A., & Winklhofer, H. M. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.2.269.18845 · Cited by 4,793 · see citing works
Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
Fornell, C., & Bookstein, F. L. (1982) · Journal of Marketing Research · doi:10.2307/3151718 · Cited by 4,516 · see citing works
Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management1
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921 · see citing works
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb00860.x · Cited by 3,854 · see citing works
Extending the TAM for a World-Wide-Web context
Moon, J.-W., & Kim, Y.-G. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00061-6 · Cited by 3,802 · see citing works
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802 · see citing works
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Koufaris, M. (2002) · Information Systems Research · doi:10.1287/isre.13.2.205.83 · Cited by 3,205 · see citing works
Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process
McCracken, G. (1989) · Journal of Consumer Research · doi:10.1086/209217 · Cited by 3,196 · see citing works
Modern Factor Analysis
Andersen, E. B., & Harman, H. H. (1968) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1401485 · Cited by 3,193 · see citing works
Diffusion of innovations
Hayward, G. (1984) · Technovation · doi:10.1016/0166-4972(84)90018-x · Cited by 2,771 · see citing works
Processes of Opinion Change
Kelman, H. C. (1961) · Public Opinion Quarterly · doi:10.1086/266996 · Cited by 2,181 · see citing works
Cognition and motivation in emotion.
Lazarus, R. S. (1991) · American Psychologist · doi:10.1037/0003-066x.46.4.352 · Cited by 2,096 · see citing works
Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption
Watts, S. A., & Siegal, W. S. (2003) · Information Systems Research · doi:10.1287/isre.14.1.47.14767 · Cited by 1,687 · see citing works
Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology
Lu, J., Yao, J. E., & Yu, C. (2005) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2005.07.003 · Cited by 1,461 · see citing works
A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges1
Venkatesh, V., & Brown, S. A. (2001) · MIS Quarterly · doi:10.2307/3250959 · Cited by 1,400 · see citing works
Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model1
Bhattacherjee, A., & Sanford, C. (2006) · MIS Quarterly · doi:10.2307/25148755 · Cited by 1,398 · see citing works
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005) · Information & Management · doi:10.1016/j.im.2003.10.007 · Cited by 1,184 · see citing works
Attitude Change: Persuasion and Social Influence
Wood, W. (2000) · Annual Review of Psychology · doi:10.1146/annurev.psych.51.1.539 · Cited by 1,059 · see citing works
Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion1
Angst, C. M., & Agarwal, R. (2009) · MIS Quarterly · doi:10.2307/20650295 · Cited by 1,043 · see citing works
Attitude change: Multiple roles for persuasion variables.
Petty, R. E., & Wegener, D. T. (1998) · Cited by 993 · see citing works
The impact of Web quality and playfulness on user acceptance of online retailing
Ahn, T. D., Ryu, S., & Han, I. (2007) · Information & Management · doi:10.1016/j.im.2006.12.008 · Cited by 972 · see citing works
Informational and Normative Social Influence in Buyer Behavior
Burnkrant, R. E., & Cousineau, A. (1975) · Journal of Consumer Research · doi:10.1086/208633 · Cited by 967 · see citing works
The contribution of studies of source credibility to a theory of interpersonal trust in the communication process.
Giffin, K. (1967) · Psychological Bulletin · doi:10.1037/h0024833 · Cited by 935 · see citing works
Attitudes: A new look at an old concept.
Zanna, M. P., & Rempel, J. K. (1988) · Cited by 706 · see citing works
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Tam, K. Y., & Ho, S. Y. (2005) · Information Systems Research · doi:10.1287/isre.1050.0058 · Cited by 639 · see citing works
A Social Psychology of Knowledge
Adams, W. A. (2007) · Contemporary Psychology · doi:10.1037/a0006688 · Cited by 628 · see citing works
It's all about attitude: revisiting the technology acceptance model
Yang, H.-D., & Yoo, Y. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(03)00062-9 · Cited by 578 · see citing works
Motivational factors that influence the acceptance of Moodle using TAM
Sánchez, R. A., & Hueros, A. M. D. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.011 · Cited by 556 · see citing works
Basic Marketing Research
Churchill, G. A., & Brown, T. J. (1988) · Cited by 449 · see citing works
Extending the TAM for a t-commerce
Yu, J., Ha, I., Choi, M., & Rho, J. J. (2005) · Information & Management · doi:10.1016/j.im.2004.11.001 · Cited by 446 · see citing works
Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model
Chung, J. E., Park, N., Wang, H., Fulk, J. L., & McLaughlin, M. L. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.016 · Cited by 435 · see citing works
Group decision making and normative versus informational influence: Effects of type of issue and assigned decision rule.
Kaplan, M. F., & Miller, C. E. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.53.2.306 · Cited by 427 · see citing works
Book review
Petrou, A. D. (2003) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.10328 · Cited by 387 · see citing works
The Effects of Source Credibility and Message Framing on Exercise Intentions, Behaviors, and Attitudes: An Integration of the Elaboration Likelihood Model and Prospect Theory1
Jones, L. W., Sinclair, R. C., & Courneya, K. S. (2003) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2003.tb02078.x · Cited by 355 · see citing works
It Just Feels Good: Customers' Affective Response to Touch and Its Influence on Persuasion
Peck, J., & Wiggins, J. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.4.56 · Cited by 354 · see citing works
Impulse buying: the role of affect, social influence, and subjective wellbeing
Silvera, D. H., Lavack, A. M., & Kropp, F. (2008) · Journal of Consumer Marketing · doi:10.1108/07363760810845381 · Cited by 342 · see citing works
Getting at the truth or getting along: Accuracy- versus impression-motivated heuristic and systematic processing.
Chen, S., Shechter, D., & Chaiken, S. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.71.2.262 · Cited by 340 · see citing works
Consumer's decision to shop online: The moderating role of positive informational social influence
Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011) · Information & Management · doi:10.1016/j.im.2010.08.005 · Cited by 315 · see citing works
Adding contextual specificity to the technology acceptance model
McFarland, D. J., & Hamilton, D. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2004.09.009 · Cited by 300 · see citing works
Web acceptance and usage model
Sánchez‐Franco, M. J., & Roldán, J. L. (2005) · Internet Research · doi:10.1108/10662240510577059 · Cited by 297 · see citing works
Knowledge sharing and group cohesiveness on performance: An empirical study of technology R&D teams in Taiwan
Huang, C. (2009) · Technovation · doi:10.1016/j.technovation.2009.04.003 · Cited by 268 · see citing works
Competitive and Cooperative Positioning in Supply Chain Logistics Relationships*
Klein, R., Rai, A., & Straub, D. W. (2007) · Decision Sciences · doi:10.1111/j.1540-5915.2007.00172.x · Cited by 253 · see citing works
Information Exchange and Use in Small Group Decision Making
Dennis, A. R. (1996) · Small Group Research · doi:10.1177/1046496496274003 · Cited by 220 · see citing works
Motivated Cognitive Processing and Attitude Change
Lundgren, S. R., & Prišlin, R. (1998) · Personality and Social Psychology Bulletin · doi:10.1177/0146167298247004 · Cited by 207 · see citing works
Accessibility of affective versus cognitive components of attitudes
Verplanken, B., Hofstee, G., & Janssen, H. J. W. (1998) · European Journal of Social Psychology · doi:10.1002/(sici)1099-0992(199801/02)28:1 · Cited by 195 · see citing works
Increasing the Effectiveness of Communications to Consumers: Recommendations Based on Elaboration Likelihood and Attitude Certainty Perspectives
Rucker, D., & Petty, R. (2006) · Journal of Public Policy & Marketing · doi:10.1509/jppm.25.1.39 · Cited by 194 · see citing works
When sad is better than happy: Negative affect can improve the quality and effectiveness of persuasive messages and social influence strategies
Forgas, J. P. (2006) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2006.05.006 · Cited by 183 · see citing works
Conceptualizing and Measuring the Optimal Experience of the eLearning Environment*
Davis, R. A., & Wong, D. (2007) · Decision Sciences Journal of Innovative Education · doi:10.1111/j.1540-4609.2007.00129.x · Cited by 160 · see citing works
Technology acceptance model for the use of information technology in universities
Jan, A. U., & Contreras, V. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.11.009 · Cited by 152 · see citing works
Information technology acceptance in a sample of government employees: a test of the technology acceptance model
Roberts, P., & Henderson, R. D. (2000) · Interacting with Computers · doi:10.1016/s0953-5438(98)00068-x · Cited by 137 · see citing works
Exploring success factors for Taiwan's government electronic tendering system: behavioral perspectives from end users
Chu, P., Hsiao, N., Lee, F.-W., & Chen, C.-W. (2004) · Government Information Quarterly · doi:10.1016/j.giq.2004.01.005 · Cited by 125 · see citing works
Effects of Supplier Reliability and Benevolence in Business Marketing
Selnes, F., & Gønhaug, K. (2000) · Journal of Business Research · doi:10.1016/s0148-2963(99)00017-x · Cited by 121 · see citing works
The impact of confidence in expectations on consumer satisfaction
Spreng, R. A., & Page, T. J. (2001) · Psychology and Marketing · doi:10.1002/mar.1049 · Cited by 107 · see citing works
Basic Marketing Research
Malhotra, N. K. (2001) · Cited by 107 · see citing works
Recruiting Through Job Advertisements: The Effects of Cognitive Elaboration on Decision Making
Jones, D. A., Shultz, J. W., & Chapman, D. S. (2006) · International Journal of Selection and Assessment · doi:10.1111/j.1468-2389.2006.00342.x · Cited by 88 · see citing works
Attitudinal effects of ad‐evoked moods and emotions: The moderating role of motivation
Batra, R., & STEPHENS, D. L. (1994) · Psychology and Marketing · doi:10.1002/mar.4220110302 · Cited by 82 · see citing works
Integrating stage and continuum models to explain processing of exercise messages and exercise initiation among sedentary college students.
Rosen, C. S. (2000) · Health Psychology · doi:10.1037//0278-6133.19.2.172 · Cited by 81 · see citing works
Using framing and credibility to incorporate exercise and fitness in individuals' lifestyle
Arora, R., Stoner, C. R., & Arora, A. (2006) · Journal of Consumer Marketing · doi:10.1108/07363760610674329 · Cited by 81 · see citing works
User participation in knowledge update of expert systems
Mak, B. L., Schmitt, B. H., & Lyytinen, K. (1997) · Information & Management · doi:10.1016/s0378-7206(96)00010-9 · Cited by 79 · see citing works
The Perception of Kosher as a Third Party Certification Claim in Advertising for Familiar and Unfamiliar Brands
Kamins, M. A., & Marks, L. J. (1991) · Journal of the Academy of Marketing Science · doi:10.1177/009207039101900303 · Cited by 78 · see citing works
The perception of kosher as a third party certification claim in advertising for familiar and unfamiliar brands
Kamins, M. A., & Marks, L. J. (1991) · Journal of the Academy of Marketing Science · doi:10.1007/bf02726494 · Cited by 72 · see citing works
Testing the mediating role of cognitive responses in the elaboration likelihood model
Stephenson, M. T., Benoit, W. L., & Tschida, D. A. (2001) · Communication Studies · doi:10.1080/10510970109388567 · Cited by 69 · see citing works
Organizational Commitment and Social Interaction: A Multiple Constituencies Approach
Heffner, T. S., & Rentsch, J. R. (2001) · Journal of Vocational Behavior · doi:10.1006/jvbe.2001.1808 · Cited by 66 · see citing works
Global Innovativeness and Consumer Susceptibility to Interpersonal Influence
Clark, R. A., & Goldsmith, R. E. (2006) · The Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679140402 · Cited by 62 · see citing works
Examining Social Influence in Information-Sharing Contexts
Henningsen, D. D., & Henningsen, M. L. M. (2003) · Small Group Research · doi:10.1177/1046496403251933 · Cited by 61 · see citing works
Integrating stage and continuum models to explain processing of exercise messages and exercise initiation among sedentary college students.
Rosen, C. S. (2000) · Health Psychology · doi:10.1037/0278-6133.19.2.172 · Cited by 51 · see citing works
Individual Differences in Attitude Structure and the Accessibility of the Affective and Cognitive Components of Attitude
Huskinson, T. L. H., & Haddock, G. (2006) · Social Cognition · doi:10.1521/soco.2006.24.4.453 · Cited by 44 · see citing works
Social influence in groups: A comparative application of relational framing theory and the elaboration likelihood model of persuasion
Henningsen, M. L. M., Henningsen, D. D., Cruz, M. G., & Morrill, J. (2003) · Communication Monographs · doi:10.1080/0363775032000167398 · Cited by 41 · see citing works
Follow the Leader?
Higgins, M. C. (2001) · Group & Organization Management · doi:10.1177/1059601101263003 · Cited by 37 · see citing works
How Positive Informational Social Influence Affects Consumers’ Decision of Internet Shopping?
Lee, M., Cheung, C. M. K., Sia, C. L., & Lim, K. H. (2006) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2006.204 · Cited by 36 · see citing works
Modeling the user acceptance of e-mail
Hubona, G. S., & Burton‐Jones, A. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2003.1173675 · Cited by 34 · see citing works
Investigating Sociability and Affective Responses of Elderly Users through Digitally-Mediated Exercises: A Case of the Nintendo Wii
Theng, Y., Teo, P. F., & Truc, P. H. (2010) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-15231-3_16 · Cited by 23 · see citing works
Persuasive Technology to Shape Social Beliefs: A Case of Persuasive Health Information Systems for Rural Women in India
Parmar, V. S., Keyson, D. V., & de Bont, C. J. P. M. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02425 · Cited by 23 · see citing works
Networks and Persuasive Messages
Steiny, D. F. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02427 · Cited by 19 · see citing works
Affective Attitudes Are not Always Faster: The Moderating Role of Extremity
Giner‐Sorolla, R. (2001) · Personality and Social Psychology Bulletin · doi:10.1177/0146167201276003 · Cited by 19 · see citing works
Normative Influence on the Acceptance of Information Technology
Green, C. W. (1998) · Small Group Research · doi:10.1177/1046496498291004 · Cited by 19 · see citing works
The Impact of Mobile and Wireless Technology on Knowledge Workers: An Exploratory Study
Breu, K., Hemingway, C. J., & Ashurst, C. (2005) · Journal of the Association for Information Systems · Cited by 15 · see citing works

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Zhou, T., Lu, Y.-B., & Wang, B. (2014) · Information Systems Frontiers · doi:10.1007/s10796-014-9530-5 · Cited by 112 · see citing works
Avatars of influence: Understanding how virtual influencers trigger consumer engagement on online booking platforms
Akhtar, N., Hameed, Z., Islam, T., Pant, M. K., Sharma, A., Rather, R. A., & Kuzior, A. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103742 · Cited by 116 · see citing works
Exploring the forms of sociality mediated by innovative technologies in retail settings
Pantano, E., & Gandini, A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.036 · Cited by 115 · see citing works
Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives
Lu, C.-C., Wu, I., & Hsiao, W. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.12.020 · Cited by 115 · see citing works
Dual-route of persuasive communications in mobile tourism shopping
Kim, M. J., Chung, N., Lee, C., & Preis, M. W. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2015.08.009 · Cited by 112 · see citing works
Facebook advertising, eWOM and consumer purchase intention-Evidence from a collectivistic emerging market
Chetioui, Y., Butt, I., & Lebdaoui, H. (2021) · Journal of Global Marketing · doi:10.1080/08911762.2021.1891359 · Cited by 103 · see citing works
The influence of social cues in persuasive social robots on psychological reactance and compliance
Ghazali, A. S., Ham, J. R. C., Barakova, E. I., & Markopoulos, P. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.016 · Cited by 107 · see citing works
The effects of ad social and personal relevance on consumer ad engagement on social media: The moderating role of platform trust
Geng, S., Yang, P., Gao, Y., Tan, Y., & Yang, C. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106834 · Cited by 102 · see citing works
Using Facebook for travel decision-making: an international study of antecedents
Mariani, M. M., Styvén, M. E., & Ayeh, J. K. (2019) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2018-0158 · Cited by 100 · see citing works
Effects of social media on consumers’ purchase decisions: evidence from Taobao
Kwahk, K.-Y., & Kim, B. (2016) · Service Business · doi:10.1007/s11628-016-0331-4 · Cited by 97 · see citing works
Viral marketing and purchase intentions of mobile applications users
Fard, M. H., & Marvi, R. (2019) · International Journal of Emerging Markets · doi:10.1108/ijoem-06-2018-0291 · Cited by 94 · see citing works
Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability
Wang, X., Fan, C., Yu, G., & Zhang, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107174 · Cited by 94 · see citing works
Conceptualizing Persuasive Messages Using ELM in Social Media
Teng, S., Khong, K. W., & Goh, W. W. (2014) · Journal of Internet Commerce · doi:10.1080/15332861.2014.910729 · Cited by 91 · see citing works
Diffusion Theory in the New Media Environment: Toward an Integrated Technology Adoption Model
Atkin, D. J., Hunt, D. S., & Lin, C. A. (2015) · Mass Communication & Society · doi:10.1080/15205436.2015.1066014 · Cited by 90 · see citing works
Elaboration of marketing communication through visual media: An empirical analysis
John, S. P., & de Villiers, R. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102052 · Cited by 87 · see citing works
A picture says more than a thousand words: Using consumer neuroscience to study instagram users' responses to influencer advertising
Pozharliev, R., Rossi, D., & Angelis, M. D. (2022) · Psychology and Marketing · doi:10.1002/mar.21659 · Cited by 87 · see citing works
Determinants of consumers’ remanufactured products purchase intentions: Evidence from China
Wang, S., Wang, J., Yang, F. Y., Li, J., & Jian, S. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1630767 · Cited by 86 · see citing works
Enhancing customers’ continued mobile app use in the service industry
Lee, S. A. (2018) · Journal of Services Marketing · doi:10.1108/jsm-01-2017-0015 · Cited by 81 · see citing works
The Persuasive Power of Algorithmic and Crowdsourced Advice
Gunaratne, J., Zalmanson, L., & Nov, O. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1523534 · Cited by 78 · see citing works
The relationship among tourists' persuasion, attachment and behavioral changes in social media
Chung, N., & Han, H. S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.09.005 · Cited by 78 · see citing works
Factors influencing people’s health knowledge adoption in social media
Huo, C., Zhang, M., & Ma, F. (2018) · Library Hi Tech · doi:10.1108/lht-04-2017-0074 · Cited by 77 · see citing works
Understanding backers’ funding intention in reward crowdfunding: An elaboration likelihood perspective
Wang, Z., & Yang, X. X. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101149 · Cited by 75 · see citing works
The effects of empathy and persuasion of storytelling via tourism micro-movies on travel willingness
Li, C.-H., & Liu, C. (2020) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941665.2020.1712443 · Cited by 73 · see citing works
Pro-Vaxxers Get Out: Anti-Vaccination Advocates Influence Undecided First-Time, Pregnant, and New Mothers on Facebook
Bradshaw, A. S., Shelton, S. S., Wollney, E., Treise, D., & Auguste, K. (2021) · Health Communication · doi:10.1080/10410236.2020.1712037 · Cited by 72 · see citing works
Consumers’ Intention toward Mitigation of Plate Waste Behaviour in Restaurants – Development of Conceptual Model
Salins, M., & Aithal, P. S. (2023) · International Journal of Management Technology and Social Sciences · doi:10.47992/ijmts.2581.6012.0279 · Cited by 71 · see citing works
Is AI chatbot recommendation convincing customer? An analytical response based on the elaboration likelihood model
Zhang, X., Chen, A. L., Piao, X., Yu, M., Zhang, Y., & Zhang, L. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104501 · Cited by 71 · see citing works
The routine use of mobile health services in the presence of health consciousness
Meng, F., Guo, X., Peng, Z. C., Zhang, X., & Vogel, D. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100847 · Cited by 70 · see citing works
Social influence on innovation resistance in internet banking services
Matsuo, M., Minami, C., & Matsuyama, T. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.08.005 · Cited by 70 · see citing works
Effects of online brand communities on millennials' brand loyalty in the fashion industry
Ozuem, W., Willis, M., Howell, K. E., Helal, G., Ranfagni, S., & Lancaster, G. (2021) · Psychology and Marketing · doi:10.1002/mar.21466 · Cited by 66 · see citing works
The cognitive-affective nexus on mobile payment continuance intention during the COVID-19 pandemic
Loh, X.-M., Lee, V., Hew, T.-S., & Lin, B. (2022) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2021-0257 · Cited by 65 · see citing works
Social support, source credibility, social influence, and solar photovoltaic panels purchase intention
Liang, X., Hu, X., Islam, T., & Mubarik, M. S. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-14750-4 · Cited by 64 · see citing works
Mobile shopping among young consumers: an empirical study in an emerging market
Mahapatra, S. (2017) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-08-2016-0128 · Cited by 64 · see citing works
Social media users’ share intention and subjective well-being
Ma, L., Zhang, X., & Ding, X. Y. (2018) · Online Information Review · doi:10.1108/oir-02-2017-0058 · Cited by 64 · see citing works
How do users respond to online rumor rebuttals?
Pal, A., Chua, A. Y. K., & Goh, D. H. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106243 · Cited by 64 · see citing works
Understanding location-based services users’ privacy concern
Zhou, T. (2017) · Internet Research · doi:10.1108/intr-04-2016-0088 · Cited by 62 · see citing works
Walking the talk about corporate social responsibility communication: An elaboration likelihood model perspective
Camilleri, M. A. (2022) · Business Ethics the Environment & Responsibility · doi:10.1111/beer.12427 · Cited by 61 · see citing works
Digital Media and Politics: Effects of the Great Information and Communication Divides
de Zúñiga, H. G., & Chen, H. (2019) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2019.1662019 · Cited by 61 · see citing works
Examining users’ news sharing behaviour on social media: role of perception of online civic engagement and dual social influences
Bhagat, S., & Kim, D. J. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2066019 · Cited by 60 · see citing works
How to persuade an online gamer to give up cheating? Uniting elaboration likelihood model and signaling theory
Wang, L., Fan, L., & Bae, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.024 · Cited by 59 · see citing works
Development of a Scale for Measuring Students’ Attitudes Towards Learning Professional (i.e., Soft) Skills
Byrne, Z. S., Weston, J. W., & Cave, K. (2018) · Research in Science Education · doi:10.1007/s11165-018-9738-3 · Cited by 57 · see citing works
eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention
Bueno, S., & Gallego, M. D. (2021) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer16050091 · Cited by 54 · see citing works
Consumer satisfaction–based social commerce service quality management
Shin, N., Park, S., & Kim, H. J. (2020) · BRQ Business Research Quarterly · doi:10.1177/2340944420916098 · Cited by 52 · see citing works
Factors influencing the sustainable consumer behavior concerning the recycling of plastic waste
Hameed, I., Khan, K., Waris, I., & Zainab, B. (2021) · Environmental Quality Management · doi:10.1002/tqem.21815 · Cited by 52 · see citing works
Source Credibility and the Information Quality Matter in Public Engagement on Social Networking Sites During the COVID-19 Crisis
Shah, Z., & Wei, L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.882705 · Cited by 52 · see citing works
How social influence through information adoption from online review sites affects collective decision making
Cho, V., & Chan, D. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2019.1651398 · Cited by 52 · see citing works
The effects of temporal distance and post type on tourists' responses to destination marketing organizations’ social media marketing
Sano, K., Sano, H., Yashima, Y., & Takebayashi, H. (2023) · Tourism Management · doi:10.1016/j.tourman.2023.104844 · Cited by 51 · see citing works
Doing the right thing: How to persuade travelers to adopt pro-environmental behaviors? An elaboration likelihood model perspective
Cheng, P., Wei, W., & Yang, S. (2024) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2024.04.009 · Cited by 51 · see citing works
Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube
Munaro, A. C., Barcelos, R. H., Maffezzolli, E. C. F., Rodrigues, J. P. S., & Paraíso, E. C. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108217 · Cited by 45 · see citing works
Determinants of intention to use ChatGPT for obtaining shopping information
Iranmanesh, M. H., Senali, M. G., Ghobakhloo, M., Foroughi, B., Yadegaridehkordi, E., & Annamalai, N. (2024) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2024.2380719 · Cited by 43 · see citing works
Money Talks: A Predictive Model on Crowdfunding Success Using Project Description
Du, Q., Fan, W., Qiao, Z., Wang, G. A., Zhang, X., & Zhou, M. (2015) · Journal of the Association for Information Systems · Cited by 43 · see citing works
Factors Influencing the Behavior Intention of Mobile Commerce Service Users: An Exploratory Study in Hong Kong
Fong, K. K.-K., & Wong, S. K. S. (2015) · International Journal of Business and Management · doi:10.5539/ijbm.v10n7p39 · Cited by 42 · see citing works
What If Moms Quiet Quit? The Role of Maternity Leave Policy in Working Mothers’ Quiet Quitting Behaviors
Zhang, T. C., & Rodrigue, C. (2023) · Merits · doi:10.3390/merits3010012 · Cited by 41 · see citing works
Understanding consumers’ continuance intention of social shopping and social media participation: The perspective of friends on social media
Yu, W.-J., Hung, S., Yu, A. P., & Hung, Y.-L. (2023) · Information & Management · doi:10.1016/j.im.2023.103808 · Cited by 41 · see citing works
The Relationships between Technological Investment, Firm Size, Firm Age and the Growth Rate of Innovational Performance
Yıldız, O., Bozkurt, Ö. Ç., Kalkan, A., & Ali, A. Y. C. I. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.10.529 · Cited by 41 · see citing works
Fired by an algorithm? Exploration of conformism with biased intelligent decision support systems in the context of workplace discipline
Bartosiak, M., & Modliński, A. (2022) · Career Development International · doi:10.1108/cdi-06-2022-0170 · Cited by 41 · see citing works
Utilitarian motivations to engage with travel websites: an interactive technology adoption model
Camilleri, M. A., & Kozak, M. (2022) · Journal of Services Marketing · doi:10.1108/jsm-12-2021-0477 · Cited by 39 · see citing works
The effect of dynamic information cues on sales performance in live streaming e-commerce: an IFT and ELM perspective
Xiao, L., Lin, X., Mi, C., & Akter, S. (2023) · Electronic Commerce Research · doi:10.1007/s10660-023-09774-6 · Cited by 39 · see citing works
Unprofessional or Admirable? Determinants of Purchasing Behavior in Government Officials’ Livestreamed Shopping
Guo, W., & Sun, N. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013073 · Cited by 38 · see citing works
Normative and informational social influence affecting digital technology acceptance of senior restaurant diners: A technology learning perspective
Jang, H.-W., Moon, C., Jung, H. S., Cho, M., & Bonn, M. A. (2023) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103626 · Cited by 38 · see citing works
The Influences of Humorous Advertising on Brand Popularity and Advertising Effects in the Tourism Industry
Chang, W. Y., & Chang, I. (2014) · Sustainability · doi:10.3390/su6129205 · Cited by 38 · see citing works
Middle-aged adults’ attitudes toward health app usage: a comparison with the cognitive-affective-conative model
Huang, Y., Lou, S., Huang, T., & Jeng, Y.-L. (2018) · Universal Access in the Information Society · doi:10.1007/s10209-018-0621-9 · Cited by 38 · see citing works
Value cocreation in livestreaming and its effect on consumer‐simulated experience and continued use intention
Chou, C. Y., Chen, J., & Lin, S. (2022) · International Journal of Consumer Studies · doi:10.1111/ijcs.12777 · Cited by 37 · see citing works
Central bank digital currencies: Consumer data-driven sustainable operation management policy
Wang, Z.-A., Samuel, R.-N., Chen, X., Xu, B., & Huang, W. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122867 · Cited by 37 · see citing works
Embedding persuasive features into policy issues: Implications to designing public participation processes
Lee, H., Tsohou, A., & Choi, Y. T. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.11.006 · Cited by 37 · see citing works
Service quality in multichannel fashion retailing: an exploratory study
Patten, E., Ozuem, W., & Howell, K. E. (2020) · Information Technology and People · doi:10.1108/itp-11-2018-0518 · Cited by 37 · see citing works
Influence of social software features on the reuse of Business Intelligence reports
Alpar, P., Engler, T. H., & Schulz, M. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.01.004 · Cited by 36 · see citing works
Examining the effects of social influence in pre-adoption phase and initial post-adoption phase in the healthcare context
Lu, Z., Cui, T., Tong, Y., & Wang, W. (2019) · Information & Management · doi:10.1016/j.im.2019.103195 · Cited by 36 · see citing works
Facebook news feed ads: a social impact theory perspective
Xue, F. (2019) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-10-2018-0125 · Cited by 36 · see citing works
The Role of Social Capital for Short-Video Platform Users’ Travel Intentions: SEM and Fsqca Findings
Liao, S.-S., Lin, C., Chuang, Y.-J., & Xie, X.-Z. (2020) · Sustainability · doi:10.3390/su12093871 · Cited by 36 · see citing works
A Tale of Two Internet News Platforms-Real vs. Fake: An Elaboration Likelihood Model Perspective
Osatuyi, B., & Hughes, J. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.500 · Cited by 35 · see citing works
Advertising Effects Under Consumer Heterogeneity – The Moderating Role of Brand Experience, Advertising Recall and Attitude
Zenetti, G., & Klapper, D. (2016) · Journal of Retailing · doi:10.1016/j.jretai.2016.02.004 · Cited by 34 · see citing works
Antecedents of consumers' citizenship behaviour towards organic foods
Chiu, T., Ortiz, J., Chih, W., Pang, L., & Huang, J. (2019) · Journal of Consumer Behaviour · doi:10.1002/cb.1774 · Cited by 34 · see citing works
Effects of short-form video application users’ guanxi on intention to visit rural tourism destinations: The moderating role of tourism fatigue
Liao, S.-S., Lin, C., & Xie, X.-Z. (2023) · Journal Of Vacation Marketing · doi:10.1177/13567667231171457 · Cited by 33 · see citing works
The Social Influence in Celebrity Endorsed Promotions: Revisiting the Consumer Perspective
Purohit, S., & Arora, N. (2022) · Journal of Promotion Management · doi:10.1080/10496491.2022.2060416 · Cited by 33 · see citing works
The utilitarian and hedonic value of immersive experiences on WeChat: examining a dual mediation path leading to users' stickiness and the role of social norms
Rodríguez‐Ardura, I., Meseguer‐Artola, A., & Fu, Q. (2023) · Online Information Review · doi:10.1108/oir-04-2022-0208 · Cited by 33 · see citing works
Exploring factors of e-waste recycling intention: The case of generation Y
Bhutto, M. Y., Rūtelionė, A., Šeinauskienė, B., & Ertz, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287435 · Cited by 32 · see citing works
The formation of parasocial relationships in tourism social media: A rational and emotional trust‐building process
Meng, B., Zhang, J., & Choi, K.-H. (2024) · International Journal of Tourism Research · doi:10.1002/jtr.2650 · Cited by 32 · see citing works
Online and offline delivery qualities: O2O satisfaction and loyalty through technology acceptance model
Seo, K., & Roh, T. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104079 · Cited by 32 · see citing works
The Impact of Trust and Recommendation Quality on Adopting Interactive and Non-Interactive Recommendation Agents: A Meta-Analysis
Ebrahimi, S., Ghasemaghaei, M., & Benbasat, I. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2096549 · Cited by 32 · see citing works
Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit
Tan, S., Wong, C. K., Yap, Y.-Y., & Tan, S. (2024) · Digital Health · doi:10.1177/20552076241257050 · Cited by 31 · see citing works

Authors: Li, C.-Y.
Affiliations: National Taichung University of Science and Technology (TW)
Corresponding author: Li, Chia-Ying
ORCID: Li, Chia-Ying
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2013-01
Volume: 29
Issue: 1
Pages: 264-275
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2012.09.003
OpenAlex: W1982353417
Cited by: 343
References: 89
Citations by year: 2026: 32 · 2025: 37 · 2024: 48 · 2023: 44 · 2022: 31 · 2021: 35 · 2020: 18 · 2019: 21 · 2018: 19 · 2017: 17 · 2016: 12 · 2015: 13 · 2014: 13 · 2013: 3
FWCI: 17.67
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: information system acceptance, persuasive messages, elaboration likelihood model, social influence theory, source credibility, argument quality, emotional responses, cognitive responses, behavioral intention, employee acceptance

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