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Journal articles on the topic 'Extended elaboration likelihood model'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

J. Kitchen, Philip, Gayle Kerr, Don E. Schultz, Rod McColl, and Heather Pals. "The elaboration likelihood model: review, critique and research agenda." European Journal of Marketing 48, no. 11/12 (November 4, 2014): 2033–50. http://dx.doi.org/10.1108/ejm-12-2011-0776.

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Purpose – The purpose of this paper is to review, critique and develop a research agenda for the Elaboration Likelihood Model (ELM). The model was introduced by Petty and Cacioppo over three decades ago and has been modified, revised and extended. Given modern communication contexts, it is appropriate to question the model’s validity and relevance. Design/methodology/approach – The authors develop a conceptual approach, based on a fully comprehensive and extensive review and critique of ELM and its development since its inception. Findings – This paper focuses on major issues concerning the ELM. These include model assumptions and its descriptive nature; continuum questions, multi-channel processing and mediating variables before turning to the need to replicate the ELM and to offer recommendations for its future development. Research limitations/implications – This paper offers a series of questions in terms of research implications. These include whether ELM could or should be replicated, its extension, a greater conceptualization of argument quality, an explanation of movement along the continuum and between central and peripheral routes to persuasion, or to use new methodologies and technologies to help better understanding consume thinking and behaviour? All these relate to the current need to explore the relevance of ELM in a more modern context. Practical implications – It is time to question the validity and relevance of the ELM. The diversity of on- and off-line media options and the variants of consumer choice raise significant issues. Originality/value – While the ELM model continues to be widely cited and taught as one of the major cornerstones of persuasion, questions are raised concerning its relevance and validity in 21st century communication contexts.

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Billard, Thomas J. "Experimental Evidence for Differences in the Prosocial Effects of Binge-Watched Versus Appointment-Viewed Television Programs." Journalism & Mass Communication Quarterly 96, no. 4 (April 22, 2019): 1025–51. http://dx.doi.org/10.1177/1077699019843856.

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This study investigated the influence of television consumption patterns on changes in attitudes toward depicted social out-groups. Participants were randomly assigned to view six episodes of Amazon’s Transparent, a comedy-drama program about a family whose father comes out as a transgender woman, in either one 3-hr (“binge-watching”) session or six weekly half-hour (“appointment-viewing”) sessions. Across both groups, we found exposure to the narrative reduced anti-transgender prejudice. Counter to the predictions of the extended elaboration likelihood model and the entertainment overcoming resistance model, however, improvement in prejudice toward transgender people was not predicted by narrative or character involvement. Rather, reduction in prejudice was an outcome of viewing condition, such that those who viewed the program on a schedule of one episode per week exhibited lower levels of postexposure prejudice than those who binge-watched, and their attitudinal changes were more persistent 3 weeks later. Results are discussed in the context of the original elaboration likelihood model, proposing mechanisms for further testing.

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Bae, Hyuhn-Suhck, Doohwang Lee, and Rosie EunGyuhl Bae. "Emotional engagement with the plot and characters." Narrative Inquiry 24, no. 2 (November 24, 2014): 309–27. http://dx.doi.org/10.1075/ni.24.2.07bae.

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Based on the Extended-Elaboration Likelihood Model and the Entertainment Overcoming Resistance Model, this study examines the relationships between several variables believed to moderate or mediate narrative effects, including (a) prior issue/topic involvement; (b) plot engagement (transportation); (c) character affiliation/alignment (sympathy and empathy); and (d) narrative-consistent behavioral intentions. The results based on respondents who viewed a movie detailing the abuse of hearing-impaired individuals indicate that prior involvement predicted narrative transportation and emotions (both sympathy and empathy); narrative transportation predicted emotions; and narrative transportation and sympathy predicted narrative-consistent behavioral intentions. The respondents who viewed the movie (707 respondents) were more likely to show narrative-consistent behavioral intentions than those who did not (323). These results have important theoretical and practical implications.

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Chaoguang, Huo, Ma Feicheng, Qiu Yifei, and Wang Yuchao. "Exploring the determinants of health knowledge adoption in social media." Information Development 34, no. 4 (March 17, 2017): 346–63. http://dx.doi.org/10.1177/0266666917700231.

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Health knowledge plays an important role in health education and promotion, in providing critical services to the global population and helping them live healthier lives and make informed health decisions. This study explores what determines health knowledge adoption in the context of Chinese social media, and attempts to explain why there is a gap between health knowledge adoption intention and behavior. Based on the ELM (elaboration likelihood method) and EPPM (extended parallel process model), this paper proposes four processes of health knowledge adoption to construct an explanatory framework, and examines it from the intention-behavior gap perspective, highlighting the mediating effect of trust. Data collected from 355 Chinese respondents was tested using a partial least squares (PLS) approach. The results indicate that perceived threat has a positive effect on health knowledge adoption via the mediator, fear; perceived efficacy has a positive direct effect on health knowledge adoption; and perceived knowledge quality and perceived source credibility both have a positive effect on health knowledge adoption via the mediator, trust. Trust and fear have different impacts on health knowledge adoption intention and behavior, which explains why there is sometimes a gap between them. Theoretical and practical contributions are discussed.

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Niederdeppe, Jeff, Rosemary J. Avery, and Emily Elizabeth Namaste Miller. "Theoretical Foundations of Appeals Used in Alcohol-Abuse and Drunk-Driving Public Service Announcements in the United States, 1995-2010." American Journal of Health Promotion 32, no. 4 (May 16, 2017): 887–96. http://dx.doi.org/10.1177/0890117117706422.

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Purpose: The study identifies the extent to which theoretical constructs drawn from well-established message effect communication theories are reflected in the content of alcohol-related public service announcements (PSAs) airing in the United States over a 16-year period. Design: Content analysis of 18 530 141 alcohol-abuse (AA) and drunk-driving (DD) PSAs appearing on national network and local cable television stations in the 210 largest designated marketing areas (DMAs) from January 1995 through December 2010. Measures: The authors developed a detailed content analytic codebook and trained undergraduate coders to reliably identify the extent to which theoretical constructs and other creative ad elements are reflected in the PSAs. We show these patterns using basic descriptive statistics. Results: Although both classes of alcohol-related PSAs used strategies that are consistent with major message effect theories, their specific theoretical orientations differed dramatically. The AA PSAs were generally consistent with constructs emphasized by the Extended Parallel Process Model (EPPM), whereas DD PSAs were more likely to use normative strategies emphasized by the Focus Theory of Narrative Conduct (FTNC) or source credibility appeals central to the Elaboration Likelihood Model. Conclusion: Having identified message content, future research should use deductive approaches to determine if volume and message content of alcohol-control PSAs have an impact on measures of alcohol consumption and/or measures of drunk driving, such as fatalities or driving while intoxicated/driving under the influence arrests.

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Li, Xuechun, Yuehuan Tang, Ningrui Yang, Ruiyao Ren, Haichao Zheng, and Haibo Zhou. "The value of information disclosure and lead investor in equity-based crowdfunding." Nankai Business Review International 7, no. 3 (August 1, 2016): 301–21. http://dx.doi.org/10.1108/nbri-01-2016-0002.

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Purpose How to free the potential power of the capital market while simultaneously protecting the investors is critical in equity-based crowdfunding. To realize these goals, the purpose of this study was to investigate the value of information disclosure and leader-follower mechanism which have been widely adopted by crowdfunding platforms. Design/methodology/approach Based on the Elaboration Likelihood Model (ELM), a research framework was developed. Then, the authors conducted an in-depth exploratory empirical study of Dajiatou (www.dajiatou.com) which is a typical equity-based crowdfunding service provider in China. Independent-samples t-test and linear regression were used to uncover the value of project information disclosure and the lead investor in terms of fundraising performance improvement. Findings First, the quality of entrepreneurial team information, especially the ratio of full-time staff, staff number and enterprise business age, significantly improve fundraising performance. Second, entrepreneurs’ behaviors, including project updates and project video, play important roles in crowdfunding. Third, whether or not the project has a lead investor, leader’s credibility information and his/her advocacy behaviors – percentage of their investment, identity certification, investment experience and comments for projects – are important factors affecting fundraising performance. Research limitations/implications The authors are one of the firsts to apply ELM to investigate the effects of diverse information on fundraising performance in equity-based crowdfunding. The value of lead investor which has been ignored in prior research was studied through second-hand data. Practical implications First, an equity-based crowdfunding platform should request the entrepreneur to disclose project quality-related information with more details. Second, crowdfunding platforms should set a high qualifications level for lead investor, and limit the lead investor’s committed percentage in a specific project. Originality/value This paper extended the research in crowdfunding by uncovering the value of information disclosure and lead investor based on ELM theory.

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Chmielewski, Terry L. "Applying the Elaboration Likelihood Model to Voting." International Journal of Interdisciplinary Social Sciences: Annual Review 6, no. 10 (2012): 33–48. http://dx.doi.org/10.18848/1833-1882/cgp/v06i10/52160.

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Stoltenberg, Cal D., Mark M. Leach, and Avery Bratt. "The Elaboration Likelihood Model and Psychotherapeutic Persuasion." Journal of Cognitive Psychotherapy 3, no. 3 (January 1989): 181–99. http://dx.doi.org/10.1891/0889-8391.3.3.181.

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The psychotherapeutic process has long been considered a context for persuasion. The Elaboration Likelihood Model of Persuasion provides an integrative framework from which to examine the process of persuasion in psychotherapy. Various source, message, recipient, and context factors interact in a complex manner to produce attitude change. Two routes to persuasion are presented and their relevance for psychotherapy are discussed. The central route requires more effort and more active cognitive processing on the part of the client, resulting in relatively permanent attitudes that are predictive of subsequent behavior. The peripheral route requires minimal cognitive effort, relying on cues in the situation or rather simple decision rules. Attitudes resulting from this route are relatively temporary and are not predictive of subsequent behavior. Both routes to persuasion are characteristic of the psychotherapeutic process. The role of affect in information processing and methods for encouraging central route processing are discussed.

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9

Gotlieb, Jerry B., and John E. Swan. "An application of the elaboration likelihood model." Journal of the Academy of Marketing Science 18, no. 3 (June 1990): 221–28. http://dx.doi.org/10.1007/bf02726473.

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McAlister, Anna R., and Danielle Bargh. "Dissuasion: the Elaboration Likelihood Model and young children." Young Consumers 17, no. 3 (August 15, 2016): 210–25. http://dx.doi.org/10.1108/yc-02-2016-00580.

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Purpose The Elaboration Likelihood Model (ELM) proposes two routes to persuasion – the central route (persuasion occurs via information) and the peripheral route (persuasion occurs via visual cues, attractive actors and other source characteristics). The central route is typically used for high-involvement decisions and the peripheral route is used in low involvement situations. The ELM has received extensive support when tested with adults; however, its ability to explain young children’s responses to persuasive communications has not been fully tested. Hence, the purpose of this research is to assess whether the standard tenets of the ELM apply to children’s processing of persuasive messages. Design/methodology/approach This study involved 84 preschool children, ages three to six. It used a 2 (involvement) × 2 (argument strength) × 2 (source attractiveness) design to test children’s responsiveness to advertisements for a novel breakfast cereal. Findings The findings suggest that children are naturally inclined to be persuaded by advertising messages, regardless of their level of involvement. It is the weak arguments and weak peripheral cues that dissuade children who are highly involved with a message. Originality/value This research makes an original contribution to the existing literature by testing the extent to which the ELM applies to children’s processing of persuasive advertisements. The finding that weak peripherals dissuade children from believing an ad’s message has strong implications for advertising practitioners.

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Morris, Jon D., ChongMoo Woo, and A. J. Singh. "Elaboration likelihood model: A missing intrinsic emotional implication." Journal of Targeting, Measurement and Analysis for Marketing 14, no. 1 (October 2005): 79–98. http://dx.doi.org/10.1057/palgrave.jt.5740171.

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Mongeau, Paul A., and James B. Stiff. "Specifying Causal Relationships in the Elaboration Likelihood Model." Communication Theory 3, no. 1 (February 1993): 65–72. http://dx.doi.org/10.1111/j.1468-2885.1993.tb00057.x.

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Browning, Nicholas, Osenkor Gogo, and Marvin Kimmel. "Comprehending CSR messages: applying the elaboration likelihood model." Corporate Communications: An International Journal 23, no. 1 (February 5, 2018): 17–34. http://dx.doi.org/10.1108/ccij-07-2017-0068.

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Purpose Using the elaboration likelihood model as a framework, the purpose of this paper is to investigate the effects of cause involvement, ability to process, and motivation to process on consumer judgments of organizational image following exposure to a corporate social responsibility (CSR) message. Design/methodology/approach This study relies upon an experimental manipulation of message complexity and uses quantitative survey data. The data were analyzed via tests of means differences, hierarchical multiple OLS regression, and mediation analysis. Findings The authors found that CSR’s influence on image is unaffected by message complexity – at least directly. However, CSR’s influence on image is intensified by greater cause involvement and information processing ability, which indicates that central route processing is more likely to move the needle on such assessments. Additionally, involvement serves as an important mediator on the effects that ability and motivation to process have on ratings of organizational image. Originality/value The findings suggest the necessity for communicators of CSR to foster cause involvement in consumers if social responsibility efforts are to resonate and garner positive results. Additionally, should organizations wish to create deeper elaboration about CSR messages among consumers, simple, straightforward messaging appears most effective. Complex messages can, however, serve as valuable peripheral cues among certain audiences.

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Patnaik, Esha. "Elaboration Likelihood Model: The Cognitive Route to Advertising Effect." International Journal of Interdisciplinary Social Sciences: Annual Review 1, no. 1 (2006): 133–40. http://dx.doi.org/10.18848/1833-1882/cgp/v01i01/51780.

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White, Paul H., and Stephen G. Harkins. "Race of source effects in the Elaboration Likelihood Model." Journal of Personality and Social Psychology 67, no. 5 (1994): 790–807. http://dx.doi.org/10.1037/0022-3514.67.5.790.

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Frewer, Lynn J., Chaya Howard, Duncan Hedderley, and Richard Shepherd. "The Elaboration Likelihood Model and Communication About Food Risks." Risk Analysis 17, no. 6 (December 1997): 759–70. http://dx.doi.org/10.1111/j.1539-6924.1997.tb01281.x.

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McNeill, Brian W., and Cal D. Stoltenberg. "Reconceptualizing social influence in counseling: The Elaboration Likelihood Model." Journal of Counseling Psychology 36, no. 1 (January 1989): 24–33. http://dx.doi.org/10.1037/0022-0167.36.1.24.

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McNeill, Brian W., and Cal D. Stoltenberg. "A test of the Elaboration Likelihood model for therapy." Cognitive Therapy and Research 12, no. 1 (February 1988): 69–79. http://dx.doi.org/10.1007/bf01172781.

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Zotos, Yiorgos, Steven Lysonski, and Peter Martin. "Elaboration Likelihood Model and Locus of Control: Is There a Connection?" Psychological Reports 70, no. 3_suppl (June 1992): 1051–56. http://dx.doi.org/10.2466/pr0.1992.70.3c.1051.

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This study uses the Elaboration Likelihood Model of persuasion to explore information-processing activities according to locus of control. A 3 × 2 × 2 factorial design was used with a sample of 317 to assess whether locus of control accounts for individual differences in cognitive processing of advertising stimuli related to credibility and message factors according to the Elaboration Likelihood Model. The results of the multivariate analysis of variance suggested that locus of control does not explain the processing of advertising information. Implications are discussed.

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Bhattacherjee and Sanford. "Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model." MIS Quarterly 30, no. 4 (2006): 805. http://dx.doi.org/10.2307/25148755.

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Widiastuti, Tuti Widiastuti. "ANALISIS ELABORATION LIKELIHOOD MODEL DALAM PEMBENTUKAN PERSONAL BRANDING DI TWITTER." Jurnal ASPIKOM 3, no. 3 (September 21, 2017): 588. http://dx.doi.org/10.24329/aspikom.v3i3.107.

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This study sought to look at the fact that twitter can shape one’s personal branding, then on the basis of this research is compiled on how the analysis elaboration likelihood model in the formation of personal branding in social media. The method used in this research is quantitative content analysis method. The study population was the whole text or tweets made by Ridwan Kamil through his twitter account (@ridwankamil). This study shows, twitter contents can shape one’s personal branding. Establishment of personal branding can be done through posts made in his twitter. The formation of personal branding is seen from the theme of writing, retweet and favorite number, type of writing, the uniqueness of writing and writing direction. Establishment of personal branding is required by a person not only through the writings conveyed through the media, but also the need for real action participation and involvement in community life.

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Forret, Monica L., and Daniel B. Turban. "Implications of the Elaboration Likelihood Model for interviewer decision processes." Journal of Business and Psychology 10, no. 4 (June 1996): 415–28. http://dx.doi.org/10.1007/bf02251778.

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Cho, Chang-Hoan. "How Advertising Works on the WWW: Modified Elaboration Likelihood Model." Journal of Current Issues & Research in Advertising 21, no. 1 (March 1999): 34–50. http://dx.doi.org/10.1080/10641734.1999.10505087.

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Sher, Peter J., and Sheng-Hsien Lee. "Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective." Social Behavior and Personality: an international journal 37, no. 1 (February 1, 2009): 137–43. http://dx.doi.org/10.2224/sbp.2009.37.1.137.

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Online consumers vary in their tendency to believe or disbelieve online reviews. Based on an Elaboration Likelihood Model (ELM; Petty & Cacioppo, 1981, 1986), the present study tested the effects of consumer skepticism on online consumers. A total of 278 undergraduates expressed their attitudes about a product in an online experiment. Two findings emerged from the results. First, highly skeptical consumers tend to base their attitudes on intrinsic beliefs instead of situational factors; that is, they are biased against certain types of information and indifferent to the message quality. Second, consumers with low skepticism tend to adopt the peripheral route in forming attitude; that is, they are more persuaded by review quantity. These findings contribute to the ELM research literature by considering a potentially important personality factor in the ELM framework. Managerial implications are suggested.

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Weilbaker, Dan C., and James S. West. "Application of the Elaboration Likelihood Model to Teaching Personal Selling." Marketing Education Review 2, no. 2 (July 1992): 37–43. http://dx.doi.org/10.1080/10528008.1992.11488365.

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Heesacker, Martin. "Counseling pretreatment and the Elaboration Likelihood Model of attitude change." Journal of Counseling Psychology 33, no. 2 (1986): 107–14. http://dx.doi.org/10.1037/0022-0167.33.2.107.

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Allison, Thomas H., Blakley C. Davis, Justin W. Webb, and Jeremy C. Short. "Persuasion in crowdfunding: An elaboration likelihood model of crowdfunding performance." Journal of Business Venturing 32, no. 6 (November 2017): 707–25. http://dx.doi.org/10.1016/j.jbusvent.2017.09.002.

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Hardy, Anne, Oskaras Vorobjovas-Pinta, and Richard Eccleston. "Enhancing knowledge transfer in tourism: An Elaboration Likelihood Model approach." Journal of Hospitality and Tourism Management 37 (December 2018): 33–41. http://dx.doi.org/10.1016/j.jhtm.2018.09.002.

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Siu, Wanda. "Extended Parallel Process Model and H5N1 Influenza Virus." Psychological Reports 102, no. 2 (April 2008): 539–50. http://dx.doi.org/10.2466/pr0.102.2.539-550.

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This study integrated the Extended Parallel Process Model and forewarning cues to assess the promotion of preventive measures against the H5N1 influenza virus, a significant health threat that affects Asia, Europe, and the USA. There are two types of forewarning, (1) telling the audience that they will hear messages intended to persuade them and (2) telling the audience the topic and stance of the impending persuasive message. Analysis of ratings by 265 undergraduates indicated that forewarnings of the topic and stance of a promotional message on the H5N1 virus facilitated elaboration of coping-related thoughts which enhance perceived self-efficacy and a stronger behavioral intention to combat H5N1. Conversely, the elaboration of danger-related thoughts evoked some fear but enhanced source perception.

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MacDonald, Edith, Taciano Milfont, and Michael Gavin. "Applying the Elaboration Likelihood Model to increase recall of conservation messages and elaboration by zoo visitors." Journal of Sustainable Tourism 24, no. 6 (October 27, 2015): 866–81. http://dx.doi.org/10.1080/09669582.2015.1091464.

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Douglas, Scott C., Christian Kiewitz, Mark J. Martinko, Paul Harvey, Younhee Kim, and Jae UK Chun. "Cognitions, Emotions, and Evaluations: An Elaboration Likelihood Model for Workplace Aggression." Academy of Management Review 33, no. 2 (April 2008): 425–51. http://dx.doi.org/10.5465/amr.2008.31193490.

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Tam, Kar Yan, and Shuk Ying Ho. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective." Information Systems Research 16, no. 3 (September 2005): 271–91. http://dx.doi.org/10.1287/isre.1050.0058.

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Karson, Eric J., and Pradeep K. Korgaonkar. "An Experimental Investigation of Internet Advertising and the Elaboration Likelihood Model." Journal of Current Issues & Research in Advertising 23, no. 2 (September 2001): 53–72. http://dx.doi.org/10.1080/10641734.2001.10505120.

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Petty, Richard E., Martin Heesacker, and Jan N. Hughes. "The elaboration likelihood model: Implications for the practice of school psychology." Journal of School Psychology 35, no. 2 (June 1997): 107–36. http://dx.doi.org/10.1016/s0022-4405(97)00003-4.

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ZOTOS, YIORGOS. "ELABORATION LIKELIHOOD MODEL AND LOCUS OF CONTROL: IS THERE A CONNECTION?" Psychological Reports 70, no. 4 (1992): 1051. http://dx.doi.org/10.2466/pr0.70.4.1051-1056.

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Glassman, Tavis, Peter Paprzycki, Thomas Castor, Amy Wotring, Victoria Wagner-Greene, Matthew Ritzman, Aaron J. Diehr, and Jessica Kruger. "Using the Elaboration Likelihood Model to Address Drunkorexia among College Students." Substance Use & Misuse 53, no. 9 (December 26, 2017): 1411–18. http://dx.doi.org/10.1080/10826084.2017.1409766.

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Oh, Hyunjoo, and Cynthia R. Jasper. "Processing of Apparel Advertisements: Application and Extension of Elaboration Likelihood Model." Clothing and Textiles Research Journal 24, no. 1 (January 2006): 15–32. http://dx.doi.org/10.1177/0887302x0602400102.

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Eckert, James A., and Thomas J. Goldsby. "Using the elaboration likelihood model to guide customer service‐based segmentation." International Journal of Physical Distribution & Logistics Management 27, no. 9/10 (December 1997): 600–615. http://dx.doi.org/10.1108/09600039710188657.

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Gregory, Christina K., Adam W. Meade, and Lori Foster Thompson. "Understanding internet recruitment via signaling theory and the elaboration likelihood model." Computers in Human Behavior 29, no. 5 (September 2013): 1949–59. http://dx.doi.org/10.1016/j.chb.2013.04.013.

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Gu, Jie, Yunjie (Calvin) Xu, Heng Xu, Cheng Zhang, and Hong Ling. "Privacy concerns for mobile app download: An elaboration likelihood model perspective." Decision Support Systems 94 (February 2017): 19–28. http://dx.doi.org/10.1016/j.dss.2016.10.002.

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Kim, Ee-Hwan, Liu Fan, Sang-Chul Lee, and Yung-Ho Suh. "Continuous Usage Intention of Twitter's Informations Focus on Elaboration Likelihood Model." Journal of the Korea society of IT services 11, no. 3 (September 30, 2012): 49–65. http://dx.doi.org/10.9716/kits.2012.11.3.049.

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Li, Xiaobo, Ting Wu, and Jianhong Ma. "How leaders are persuaded: An elaboration likelihood model of voice endorsement." PLOS ONE 16, no. 5 (May 18, 2021): e0251850. http://dx.doi.org/10.1371/journal.pone.0251850.

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Organizations need both employee voice and managerial endorsement to ensure high-quality decision-making and achieve organizational effectiveness. However, a preponderance of voice research focuses on employee voice with little attention paid to voice endorsement. Building on the social persuasion theory of the elaboration likelihood model, we systematically examine the sender and receiver determinants of voice endorsement and how the interplay of those determinants affects voice endorsement. By empirically analyzing 168 paired samples, we find that issue-relevant information, i.e., voicer credibility, has a positive effect on voice endorsement and matters most when leaders have high felt obligation. The results also show that the peripheral cue used in the study, i.e., positive mood, has a positive effect on voice endorsement and matters most when leaders have low felt obligation or low cognitive flexibility. We discuss the contributions of these findings and highlight limitations and directions for future research.

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Yang, Kai, and Mahammad Malikov. "EVALUATION OF DYNAMIC CHANGES OF CONSUMERS' ONLINE REVIEWS FROM THE ELABORATION LIKELIHOOD MODEL METHOD." SCIENTIFIC WORK 65, no. 04 (April 21, 2021): 17–23. http://dx.doi.org/10.36719/2663-4619/65/17-23.

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One of the essential models that explain the concept of persuasion is the Elaboration Probability Model, which argues that there are two processes in the persuasion process, namely central and environmental persuasion. İt is thought that the article, including a detailed explanation of the model and information about the model, filled a gap in this regard. The research findings show that the model is mainly used in marketing and advertising studies. In terms of the level of affecting the probability of elaboration, the feature subject to the most significant number of studies is interesting. It was revealed that the factors involved in the elaboration process and whose effect has been handled the most in the number of studies are the power of assertion and the source credibility. The review provides valuable information in terms of allowing the model's use and the variables in the model to be seen as a holistic example in Amazon. Key words: ELM method, Amazon, main factors, reviews

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OHANA, Kyosuke, Yukio HIROSE, and Satoshi FUJII. "EFFECT OF PROCEDURAL FAIRNESS ON NIMBY TYPED PROJECT FROM ELABORATION LIKELIHOOD MODEL." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 69, no. 4 (2013): 267–75. http://dx.doi.org/10.2208/jscejipm.69.267.

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Yhee, Ye Rin, Jong Chul Kim, and Chul Mo Koo. "A Study on The Selection of Convention Agenda Modifying Elaboration Likelihood Model." Journal of Korea Service Management Society 21, no. 1 (March 31, 2020): 70–90. http://dx.doi.org/10.15706/jksms.2020.21.1.003.

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Indrawati, NFN. "ANALISIS ELABORATION LIKELIHOOD MODEL DALAM KALIMAT PERSUASI KAMPANYE PRESIDEN 2019 DI FACEBOOK." UNDAS: Jurnal Hasil Penelitian Bahasa dan Sastra 15, no. 2 (December 1, 2019): 175. http://dx.doi.org/10.26499/und.v15i2.1741.

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Abstract:

Facebook is a tool for effective and efficient persuasion with fast time and relatively inexpensive cost for campaigns. This research aims to reveal some types of sentence persuasion, through the elaboration analysis of likelihood model on Facebook This research uses qualitative content analysis methods. Qualitative content analysis is a systematic analysis to analyze the content of messages and to process messages that can not be separated from the interests of the message maker. The data the authors take in this study is data contained on Facebook from February to April 2019. The Data in this study is a sentence that has a persuasion message on Facebook. The data sources used in this research are sourced from direct observation on social media Facebook which is then researcher Screenshoot. Data analysis is conducted through observation, grouping, identifying, analyzing data, and concluding research analysis results. Based on the results of the study, there are several types of persuasion sentences, namely: (1) A strong persuasion sentence, which is a strong persuasion sentence has an explicit call to action, usually accompanied by data and facts; (2) A neutral persuasion sentence, which is a persuasion sentence whose contents do not change our attitude or behavior to a friend who has a different choice than ours; (3) A weak persuasion sentence, i.e. a persuasion sentence done implicitly (expressed) or indirectly; and (4) A side persuasion sentence, which is a sentence influenced by things like the repetition of a highly credible spokesman to convince others.

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Flynn, B. S., J. K. Worden, J. Y. Bunn, S. W. Connolly, and A. L. Dorwaldt. "Evaluation of smoking prevention television messages based on the elaboration likelihood model." Health Education Research 26, no. 6 (September 1, 2011): 976–87. http://dx.doi.org/10.1093/her/cyr082.

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COOK, ANDREW J., KEVIN MOORE, and GARY D. STEEL. "The Taking of a Position: A Reinterpretation of the Elaboration Likelihood Model." Journal for the Theory of Social Behaviour 34, no. 4 (December 2004): 315–31. http://dx.doi.org/10.1111/j.1468-5914.2004.00252.x.

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Chiang, Kuan-Pin, and Anita Jackson. "Health literacy and its outcomes: Application and extension of elaboration likelihood model." International Journal of Healthcare Management 6, no. 3 (August 2013): 152–57. http://dx.doi.org/10.1179/2047971913y.0000000041.

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Stephenson, Michael T., William L. Benoit, and David A. Tschida. "Testing the mediating role of cognitive responses in the elaboration likelihood model." Communication Studies 52, no. 4 (December 2001): 324–37. http://dx.doi.org/10.1080/10510970109388567.

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