The Effects of Source Credibility and Message Framing on Exercise Intentions, Behaviors, and Attitudes: An Integration of the Elaboration Likelihood Model and Prospect Theory1

By L. Jones, Robert C. Sinclair, K. Courneya. 2003

385 citations recorded by the source corpus.

Subfields: Applied Psychology, Literature and Literary Theory, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2822ffece3d5949b9d902cf5492ddd24aa09f355

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

1. Maarten Vansteenkiste
2. Frank Martela
3. Richard M. Ryan
4. Nelli Hankonen
5. Bart Soenens
6. Edward L. Deci
7. Sheng Bi
8. K. Usman

In Literature and Literary Theory

1. Frank Martela
2. Sheng Bi
3. K. Usman
4. Zhiying Liu
5. Richard M. Ryan
6. Chia-Ying Li
7. V. Huta
8. Holli-Anne Passmore

In Sociology and Political Science

1. Richard M. Ryan
2. Maarten Vansteenkiste
3. Frank Martela
4. Sheng Bi
5. K. Usman
6. Zhiying Liu
7. Tekle Shanka
8. Nelli Hankonen

Citations in the corpus

• Credibility of online reviews and initial trust (2012, background): “Jones et al. (2006) and Klayman and Ha (1987) also state that positive product reviews are more likely to elicit strong consumer responses.”
• Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory (2013, background): “Jones, Sinclair, and Courneya (2003) argued that credible sources lead to greater message elaboration than non-credible sources.”
• Motivating voluntary compliance to behavioural restrictions: Self-determination theory–based checklist of principles for COVID-19 and other emergency communications (2021, background): “Persuasion research has demonstrated that the credibility of the messenger has a significant impact on the persuasiveness of the message and subsequent behavioural change (Jones et al., 2003; Wu & Shaffer, 1987).”
• The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts (2014, neutral): “(Petty and Cacioppo 1986; Langenderfer and Shimp 2001; Jones et al. 2003).”
• The influence of online information on investing decisions of reward-based crowdfunding (2017, methodology): “…investigating the determinants of online behavior, various previous studies (Luo et al., 2014; Cheung, Lee, and Rabjohn, 2008; Chu and Kamal, 2008; Jones, Sinclair, and Courneya, 2006; Park, Lee, and Han, 2007; Shih et al., 2013) utilized the elaboration likelihood model as their theoretical…”