Academic literature on the topic 'Ordered protection motivation model'
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Journal articles on the topic "Ordered protection motivation model"
Eppright, David R., John F. Tanner, and James B. Hunt. "Knowledge and the ordered protection motivation model: Tools for preventing AIDS." Journal of Business Research 30, no. 1 (May 1994): 13–24. http://dx.doi.org/10.1016/0148-2963(94)90064-7.
Full textHo, Robert. "Predicting Intention for Protective Health Behaviour: A test of the Protection versus the Ordered Protection Motivation Model." Australian Journal of Psychology 52, no. 2 (August 2000): 110–18. http://dx.doi.org/10.1080/00049530008255376.
Full textLi, Lu, Jian Wang, Stephen Nicholas, Elizabeth Maitland, Anli Leng, and Rugang Liu. "The Intention to Receive the COVID-19 Vaccine in China: Insights from Protection Motivation Theory." Vaccines 9, no. 5 (May 2, 2021): 445. http://dx.doi.org/10.3390/vaccines9050445.
Full textZhang, Bin, Zhen Xu, and Liran Sun. "Identifying the Group Differences in the Impact of Haze on Residents' Low-Carbon Travel." Journal of Global Information Management 30, no. 6 (September 1, 2021): 1–19. http://dx.doi.org/10.4018/jgim.309980.
Full textMison, Angela, Gareth Davies, and Peter Eden. "Role of Big Tech in Future Cyber Defence." International Conference on Cyber Warfare and Security 17, no. 1 (March 2, 2022): 583–90. http://dx.doi.org/10.34190/iccws.17.1.73.
Full textCalder, Samuel Christian, Graham R. Davidson, and Robert Ho. "Intentions to Consume Omega-3 Fatty Acids: A Comparison of Protection Motivation Theory and Ordered Protection Motivation Theory." Journal of Dietary Supplements 8, no. 2 (March 8, 2011): 115–34. http://dx.doi.org/10.3109/19390211.2011.558569.
Full textTanner, John F., James B. Hunt, and David R. Eppright. "The Protection Motivation Model: A Normative Model of Fear Appeals." Journal of Marketing 55, no. 3 (July 1991): 36. http://dx.doi.org/10.2307/1252146.
Full textTanner, John F., James B. Hunt, and David R. Eppright. "The Protection Motivation Model: A Normative Model of Fear Appeals." Journal of Marketing 55, no. 3 (July 1991): 36–45. http://dx.doi.org/10.1177/002224299105500304.
Full textSeow, Ai Na, Yuen Onn Choong, Chee Keong Choong, and Krishna Moorthy. "Health tourism: behavioural intention and protection motivation theory." Tourism Review 77, no. 2 (June 18, 2021): 376–93. http://dx.doi.org/10.1108/tr-11-2020-0546.
Full textKhan, Naurin Farooq, Naveed Ikram, Hajra Murtaza, and Mehwish Javed. "Evaluating protection motivation based cybersecurity awareness training on Kirkpatrick's Model." Computers & Security 125 (February 2023): 103049. http://dx.doi.org/10.1016/j.cose.2022.103049.
Full textDissertations / Theses on the topic "Ordered protection motivation model"
Keon, Claire M. "Risk amid Protection and Motivation: A Communicative Cardiovascular Physician-Patient Model of Message Preparation-Perception (CPMP)2." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22676.
Full textLeigh, Laurasona. "Behavioral and Environmental Attributes of Ebola Epidemic in West Africa and United States Emergency Nurses’ Motivation to Protect Themselves against Ebola Infection." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470411786.
Full textChi-ju, Hwa, and 華紀如. "Validation of Persuasive Effects of Fear Appeals Based on the Ordered Protection Motivation Model." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/42793606969714277955.
Full text大同工學院
事業經營研究所
86
Marketing communications are designed to influence attitude and behavior. The fear appeal, a message that attempts to influence behavior through the threat of some danger, is one such type of marketing communication. The power of such appeals seems obvious; all that should be required to influence an individual''s behavior is to make that person aware of the danger or dangerous behavior. Marketers have attempted to take advantage of this relationship by using the threat of danger to evoke the emotional response of fear and thus influence behavior.To date, research has not given marketers much help in understanding the effect of fear on behavior. Research to provide communication guidelineshas produced conflicting results. Past research efforts have been unable to provide sound theory for the process of influencing behavior through fear.Then, Tanner et al. (1991) suggested that fear arousal in response to a threat message would be necessary for changes in attitude and behavior.Besides, Bandura (1977) in related work on self-efficacy, theorized that effective coping defenses prohibit fear arousal. Self-efficacy is the perception of one''s ability to perform a specific behavior. In addition, Rogers (1983) supported the effects of self-efficacy information in influencing behaviors. Therefore, in this study, using the two variables to provide effective suggestions that can be used by health care practitioners to promote responsible sexual practices.The study involved the topic of sexually transmitted diseases (STDs).The experimental treatments were administered in a 2X2X2X2 between-subjects factorial experimental design as follows: 1. Severity of threat (low/high). 2. Self-efficacy (low/high). 3. Perceived social costs (low/high). 4. Gender (male/female) The different degrees of threat and self-efficacy were selected by pretest.Subjects were 240 students of Tatung Institute of Technology, approximately equal in number by gender. According to the experiment results, we obtained the following conclusions: 1. Faced with high threat ad, subjects have higher fear emotional response, better attitude toward the ad, and higher behavior intentions than low threat ad. 2. Fear emotional response can affect behavioral intentions positively. 3. Subjects with high self-efficacy, have better attitude toward the ad and higher behavioral intentions than those with self-efficacy. 4. When subjects'' perceived social costs are high, they may be reluctant to use the recommended behavior. Consequently, lower attitude toward the ad and behavioral intentions will be occur. 5. In the topic of sexually transmitted diseases (STD), since females are physically unable to be solely responsible for adopting the recommended behavior (i.e., using condoms), they have less control over implementation.Therefore, females have worse attitude toward the ad and lower behavioral intentions than males.
(14010143), Vanessa C. Ghea. "Motives for the adoption of protective health behaviours for men and women: A social psychological model versus the ordered protection motivation model." Thesis, 2002. https://figshare.com/articles/thesis/Motives_for_the_adoption_of_protective_health_behaviours_for_men_and_women_A_social_psychological_model_versus_the_ordered_protection_motivation_model/21397740.
Full textThe aims of the present study were to (a) evaluate and to compare the adequacy of a social psychological model and a cognitive appraisal model in predicting intention and action with respect to the adoption of protective health behaviours, (b) investigate the direction and strength of the path coefficients linking the predictor and criterion variables in each model in order to determine which predictor variables played a significant role in the (non)adoption of protective health behaviours, and (c) investigate the direct and indirect roles that gender role and SES play in determining the decision to adopt or not to adopt protective health behaviours. Existing knowledge about disease and illness makes it imperative for health researchers to understand the factors involved in reducing exposure to these endemic threats. Whilst extensive research has been carried out to investigate health beliefs and health threats, most of the results that have been obtained have been descriptive in nature. They say very little about how males and females internalise and conceptualise the identified social psychological and cognitive appraisal variables or how these variables influence the health decision-making process. Two theoretical models were developed to represent the decision-making process regarding the adoption of good health behaviours. A total of 550 males and 759 females (total n = 1,309) from Rockhampton and Gladstone in the State of Queensland, Australia, participated in the study by responding to one of three questionnaires designed to measure the study's critical variables. Whilst the overall findings generally supported the decision-making process represented by both models, the results indicated that the social psychological model represented a better predictor of the health decision-making process than the cognitive appraisal model. The findings also indicated that high masculinity combined with low femininity and a low SES directly decreased the motivation of males and females to adopt protective health behaviours when confronted by a health threat. Finally, for both models, the results indicated that the exogenous variables of gender role and SES had both direct and indirect influences on behavioural intention and action for males and females across the three disease dimensions. The implications of the findings with regards to differences in male and female health status are discussed.
Richards, Jay. "The case for health behaviour model comparison and theoretical integration: comparing and combining predictions of models in order to optimise the prediction of health behaviours." Thesis, 2015. http://hdl.handle.net/1959.13/1308165.
Full textThe health behaviour literature is currently littered with theoretical models offering competing accounts of the determinants of health behaviour. However, despite the large amount of research there is still no consensus regarding which model/s are the most useful and accurate. A reason for this is that there are few studies comparing these models for their effectiveness in explaining health behaviour. One method of determining which health behaviour models are superior is directly comparing models for accuracy. Another method of improving the prediction of health behaviour may be theoretical integration – that is combining predictions of multiple models within the rich health behaviour literature in order to develop an integrated model with greater explanatory power than its constituent models. The four research studies presented herein represent examples of how model comparison and theoretical integration may be applied to identify the existing health behaviour models with greatest explanatory power and to increase the explanatory power of such models respectively. Study 1 investigates how fear-based messages impact on individuals’ health knowledge. It also investigates whether health knowledge contributes to the prediction of intentions to exercise or adopt a healthy diet after controlling for Protection Motivation Theory constructs. Results suggest that fear-based messages do not affect information retention and that health knowledge does not explain unique variance in behavioural intentions. Studies 2 and 3 compared the predictions of the Theory of Planned Behaviour and Protection Motivation Theory. Study 2 was conducted in the context of smoking and Study 3 was conducted in the context of diet and exercise. An integrated model which combined the predictions of the Theory of Planned Behaviour and Protection Motivation Theory was also devised and tested. Results of both studies suggested that the Theory of Planned Behaviour was the superior model – performing equivalently or better than Protection Motivation Theory in terms of accuracy for all health behaviours investigated. Investigating the integrated model highlighted relationships between constructs of both theories – most notably a consistent relationship between response-efficacy and attitudes. Finally, in Study 4 an integrated model combining the predictions of the Extended Parallel Process Model, Theory of Planned Behaviour, Stage Model and Risk Perception Attitude Framework is devised and tested. This model attempted to explain individuals’ responses to a fear-provoking health message based on their existing psychological characteristics and the message components. It was found that fear-provoking messages elicited little change in individuals’ perceptions of threat and efficacy and their attitudes and intentions. However, fear-provoking messages were associated with greater fear and maladaptive defensive responses – especially in those who were not already engaging in health protective behaviour. Numerous heretofore undiscovered associations between constructs of these models (e.g., individuals’ thoughts concerning the fear-provoking health message [Stage Model] being associated with reactance, defensive avoidance, self- and response-efficacy [Extended Parallel Process Model]) were also highlighted as a result of investigating the predictions of the integrated model. Taken together these findings suggest that model comparison can be utilised to identify the superior model from a candidate set of models. Further, theoretical integration can be utilised to increase the explanatory power of existing health behaviour models. Implications for theory and practice are discussed at length.
Book chapters on the topic "Ordered protection motivation model"
Farooq, Ali, Debora Jeske, and Jouni Isoaho. "Predicting Students’ Security Behavior Using Information-Motivation-Behavioral Skills Model." In ICT Systems Security and Privacy Protection, 238–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22312-0_17.
Full textOrbell, Sheina, Hina Zahid, and Caroline J. Henderson. "Changing Behavior Using the Health Belief Model and Protection Motivation Theory." In The Handbook of Behavior Change, 46–59. Cambridge University Press, 2020. http://dx.doi.org/10.1017/9781108677318.004.
Full textNorrie, Kenneth McK. "Adoption of Children." In A History of Scottish Child Protection Law, 336–86. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474444170.003.0013.
Full textYeo, Seunghwan, Amanda Sue Birch, and Hans Ingvar Jörgen Bengtsson. "The Role of State Actors in Cybersecurity." In National Security, 16–43. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7912-0.ch002.
Full textYeo, Seunghwan, Amanda Sue Birch, and Hans Ingvar Jörgen Bengtsson. "The Role of State Actors in Cybersecurity." In Advances in Digital Crime, Forensics, and Cyber Terrorism, 217–46. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9661-7.ch013.
Full textZhang, Jie, and Jianchun Yang. "Influence of Greenwashing Strategy on Pricing: A Game-Theoretical Model for Quality Heterogeneous Enterprises." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220300.
Full textBesley, Timothy, and Torsten Persson. "Political Violence." In Pillars of Prosperity. Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691152684.003.0004.
Full textRodrigues, Leonor Bettencourt, Manuela Calheiros, and Cícero Pereira. "The Psychosocial Process Underlying Residential Care Placement Decisions." In Decision-Making and Judgment in Child Welfare and Protection, 149–72. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190059538.003.0007.
Full textBeldad, Ardion. "Sealing One's Online Wall Off From Outsiders." In Cyber Law, Privacy, and Security, 854–69. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8897-9.ch040.
Full textGuleryuz, Ece H. "Determinants of Public Spending Composition in OECD and MENA Countries." In Handbook of Research on Global Enterprise Operations and Opportunities, 197–223. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2245-4.ch013.
Full textConference papers on the topic "Ordered protection motivation model"
Zhang, Wengang, and Shihui Jia. "A coordination model for ill-posed bilevel programming problem via the leader's motivation." In 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceep-16.2016.4.
Full textLin, Yuan, and Nicole Abaid. "Bats Versus Bugs: Collective Behavior of Prey Decreases Predation in a Biologically-Inspired Multi-Agent System." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3816.
Full textWang, Xiyu, and Li Xu. "Fogg behavior model for children's sex education." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002388.
Full textZabarin, Alexey. "SUBJECTIVITY AS THE BASIS OF INFORMATION AND PSYCHOLOGICAL SECURITY." In Globalistics-2020: Global issues and the future of humankind. Interregional Social Organization for Assistance of Studying and Promotion the Scientific Heritage of N.D. Kondratieff / ISOASPSH of N.D. Kondratieff, 2020. http://dx.doi.org/10.46865/978-5-901640-33-3-2020-283-288.
Full textXu, Steven X., and Kim Wallin. "Exploratory Analysis to Estimate Axial Fracture Toughness for Zr-2.5Nb Pressure Tubes Using Test Data From Small Curved Compact Specimens." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-66116.
Full textChen, Qinglian, Bitao Yao, and Duc Truong Pham. "Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8268.
Full textFaull, Raymond, Nicole Wagner, and Kevin Anderson. "CFD Study of Particle and Compressible Flow Interaction for a Twin Wire Arc Spraying System." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10101.
Full textLemm, Thomas C. "DuPont: Safety Management in a Re-Engineered Corporate Culture." In ASME 1996 Citrus Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/cec1996-4202.
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