Thematische Bibliographien / Theory of Planned Behavior

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Auswahl der wissenschaftlichen Literatur zum Thema „Theory of Planned Behavior“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 9. Juni 2025

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Zeitschriftenartikel zum Thema "Theory of Planned Behavior"

Putraa, Purnama. "Planned Behavior Theory in Paying Cash Waqf." International Journal of Psychosocial Rehabilitation 24, no. 4 (February 28, 2020): 5669–77. http://dx.doi.org/10.37200/ijpr/v24i4/pr201662.

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Ajzen, Icek. "The theory of planned behavior." Organizational Behavior and Human Decision Processes 50, no. 2 (December 1991): 179–211. http://dx.doi.org/10.1016/0749-5978(91)90020-t.

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Kristiono, Willy, Yolanda Masnita, and Kurniawati Kurniawati. "Adoption Intention for EV: Implementing Theory of Planned Behavior." Global Research Review in Business and Economics 9, no. 4 (August 2023): 118–25. http://dx.doi.org/10.56805/grrbe.23.9.4.26.

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Nurwanah, Andi, Sutrisno T., Rosidi Rosidi, and Roekhudin Roekhudin. "Determinants of tax compliance: theory of planned behavior and stakeholder theory perspective." Problems and Perspectives in Management 16, no. 4 (December 24, 2018): 395–407. http://dx.doi.org/10.21511/ppm.16(4).2018.33.

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The purpose of this research is to analyze and elaborate determinants of tax compliance in the perspective of the theory of planned behavior and stakeholder theory. This research is conducted on a population consisting of corporate taxpayers registered at the Directorate General of Taxes in the region of South Sulawesi. This research uses proportional random sampling to determine the samples. There are 560 respondents out of 1,000 exemplars of distributed questionnaires who are willing to participate. The analysis is conducted by using Partial Least Square (PLS). The result reveals that the behavior of the taxpayers has a positive and significant effect on the intention to tax compliance. The establishment of tax professional behavior to comply can encourage positive behavior of taxpayers, thus, the welfare of the society can be achieved. Subjective norm has a positive and significant effect on the intention to tax compliance. This research focuses on corporate taxpayers; hence, the researchers add social awareness based on stakeholder theory. This research depicts corporate taxpayers as entity that mingles with the society. Therefore, social awareness and cultural adaptation with the social environment through tax payment is a must.

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Prasetya, Hanung, Aquartuti Tri Darmayanti, and Yuyun Setyorini. "Theory of planned behavior in creating disease prevention behavior." International Journal of Public Health Science (IJPHS) 13, no. 1 (March 1, 2024): 109. http://dx.doi.org/10.11591/ijphs.v13i1.23171.

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Human behavior, in dealing with pandemic, becomes one of the key factors during the speed of an outbreak. In this way, individual and social responsibility are needed to determine behaviors, end the pandemic, and anticipate for the next outbreak. The purpose of this systematic review is to provide structured information about the results of applying the theory of planned behavior (TPB) in concern to create COVID-19 preventive behavior (CPB) as the case example. This systematic review was compiled by searching articles using the keywords "theory of planned behavior"[MeSH] AND COVID-19 preventive behavior. ("theory of planned behavior"[MeSH]) AND "hand disinfection"[MeSH]. "Theory of planned behavior" AND "social distancing." "Theory of planned behavior" AND "wearing mask." The search was obtained from PUBMED and Google Scholar. The 13 articles met the requirements to be reviewed qualitatively on the implementation of TPB. The results showed that TPB was effective to bring about the prevention behavior of infectious disease, such as COVID-19. Other significant aspects are intentions, norms, and behavioral control. The TPB model can be applied for health promotion in creating prevention behavior of infectious disease.

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Prasetya, Hanung, Aquartuti Tri Darmayanti, and Yuyun Setyorini. "Theory of planned behavior in creating disease prevention behavior." International Journal of Public Health Science (IJPHS) 13, no. 1 (February 4, 2025): 109–15. https://doi.org/10.11591/ijphs.v13i1.23171.

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Human behavior, in dealing with pandemic, becomes one of the key factors during the speed of an outbreak. In this way, individual and social responsibility are needed to determine behaviors, end the pandemic, and anticipate for the next outbreak. The purpose of this systematic review is to provide structured information about the results of applying the theory of planned behavior (TPB) in concern to create COVID-19 preventive behavior (CPB) as the case example. This systematic review was compiled by searching articles using the keywords "theory of planned behavior"[MeSH] AND COVID-19 preventive behavior. ("theory of planned behavior"[MeSH]) AND "hand disinfection"[MeSH]. "Theory of planned behavior" AND "social distancing." "Theory of planned behavior" AND "wearing mask." The search was obtained from PUBMED and Google Scholar. The 13 articles met the requirements to be reviewed qualitatively on the implementation of TPB. The results showed that TPB was effective to bring about the prevention behavior of infectious disease, such as COVID-19. Other significant aspects are intentions, norms, and behavioral control. The TPB model can be applied for health promotion in creating prevention behavior of infectious disease.

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Young, Heather M., Letha Lierman, Gail Powell-Cope, Danuta Kasprzyk, and Jeanne Q. Benoliel. "Operationalizing the theory of planned behavior." Research in Nursing & Health 14, no. 2 (1991): 137–44. http://dx.doi.org/10.1002/nur.4770140208.

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Ni, Dingan, Fengxiang Guo, Hui Zhang, Mingyuan Li, and Yanning Zhou. "Improving Older Drivers’ Behaviors Using Theory of Planned Behavior." Sustainability 14, no. 8 (April 15, 2022): 4769. http://dx.doi.org/10.3390/su14084769.

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The proportion of older drivers has increased with the aging population. In order to improve the driving behavior and safety of older drivers, we aim to analyze behavior differences between older and younger drivers and then study an improvement strategy based on the older drivers’ behavioral characteristics. Older drivers’ behaviors can be enhanced through training, thereby improving driving safety. Simulated scenarios for behavior analysis and training are constructed for drivers who are recruited from the general driving population. Data on the drivers’ eye movement, physiological and psychological conditions, operation behavior, and vehicle status are collected and analyzed. The theory of planned behavior is adopted to construct a driving behavior enhancement training model for older drivers. Finally, a structural equation model is developed to comprehend the relationship between training level, driver characteristics, and traffic safety. The ability and speed of older drivers to obtain traffic information is worse than those of young and middle-aged drivers, and the vehicle control capability of older drivers has a larger volatility. The driving behavior training model can improve older drivers’ driving stability and safety, as follows: the positive effect of training on driving behavioral improvement is larger than the negative effect of aging; the negative effect of training level on dangerous driving tendency is larger than the positive effect of driver’s aging. The driving behavior of older drivers should be improved for the safety and stability of driving operations through the PNE (perceived-norm-execution) model. The relationship between training level, driving behavior characteristics, and traffic safety is discussed using the structural equation model, and results show that the training can improve the effect of the drivers’ age on the characteristics of driving behavior, and that older drivers tend to decrease dangerous driving tendencies.

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Sutisna, Felix, and Tessa Handra. "Theory of Planned Behavior Influences Online Shopping Behavior." APTISI Transactions on Management (ATM) 6, no. 1 (January 6, 2022): 52–61. http://dx.doi.org/10.33050/atm.v6i1.1691.

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Nowdays many factors influence shopper interested in buying merchandise through e-business, such as promotions made by e-business companies, speed and less time, fast payment transactions and low cost, and marketing mix. Most shopper utilize e-business to shop for food products, electronics, logistic (such as gojek/grab/uber, travel) and others. The application of e-business can not be separated from the expertise and knowledge of the public in using the internet and computer systems. However, Indonesian people's awareness of e-business is still low, many people do not know how to utilize it. This is due to low internet infrastructure factors, poor telecommunication facilities. This is still a barrier to the interest of the people of Indonesia to testify online. In addition, shopper confidence and trust in the security of e-business can affect someone to shop online. In explaining the factors that impact on shopper conduct to utilize e-business utilized theory of planned behavior approach. The theory of Planned Behavior (TPB) has supported the prediction of many different conducts of people. TPB shows that determining conduct is one's purpose. This study aims to analyze the impact of perceived behavioral control, subjective norm, and attitude, on purpose to shop online and its impact on online shopping behavior. Exogenous variable research is perceived behavioral control, subjective norm, and attitude. The variables of endogenous research are intended to shop online and online shopping behavior. The research sample of 100 respondents was shopper who shopped in e-business X. Data collection method using questionnaires. Data analysis method using SEM PLS.

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Akulume, Martha, and Suzanne N. Kiwanuka. "Health Care Waste Segregation Behavior among Health Workers in Uganda: An Application of the Theory of Planned Behavior." Journal of Environmental and Public Health 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8132306.

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Objective. The goal of this study was to assess the appropriateness of the theory of planned behavior in predicting health care waste segregation behaviors and to examine the factors that influence waste segregation behaviors. Methodology. One hundred and sixty-three health workers completed a self-administered questionnaire in a cross-sectional survey that examined the theory of planned behavior constructs (attitudes, subjective norms, perceived behavioral control, and intention) and external variables (sociodemographic factors, personal characteristics, organizational characteristics, professional characteristics, and moral obligation). Results. For their most recent client 21.5% of the health workers reported that they most definitely segregated health care waste while 5.5% did not segregate. All the theory of planned behavior constructs were significant predictors of health workers’ segregation behavior, but intention emerged as the strongest and most significant (r=0.524, P<0.001). The theory of planned behavior model explained 52.5% of the variance in health workers’ segregation behavior. When external variables were added, the new model explained 66.7% of the variance in behavior. Conclusion. Generally, health workers’ health care waste segregation behavior was high. The theory of planned behavior significantly predicted health workers’ health care waste segregation behaviors.

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Dissertationen zum Thema "Theory of Planned Behavior"

Lee, Seungwoo. "Volunteer Tourists' Intended Behavior Using the Revised Theory of Planned Behavior." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26151.

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Volunteer tourism as an alternative to mass tourism has grown significantly since the 1970s, sparking research interest in the subject. However, there is little research that has examined future potential volunteer touristsâ various perceptions, needs and wants. The purpose of this study was to understand how and in what way various potential volunteer touristsâ beliefs, including attitudes, subjective norms, self-efficacy and motivation, influence their future intended participation in a volunteer tourism experience using the revised theory of planned behavior. Moreover, the potential moderating effect of past volunteer tourism experience was examined as well. The study collected 291 usable responses from potential volunteer tourists who were active members of volunteer tourism organizations. The study used second order confirmatory factor analysis, structural equation modeling and hierarchical multiple regression analysis to test study hypotheses. The study also used meta-analysis to examine the effect size of the predicting variables and compared it with that of previous tourism research. The results of structural equation modeling indicated that two constructs, both attitudes and subjective norms, appeared to be statistically significant, while self-efficacy and motivation were not statistically significant in predicting potential volunteer touristsâ intended participation. Hierarchical multiple regression analysis found a moderating effect of past volunteer tourism experience on motivation toward intended participation in a negative direction. In addition, the motivation factor â altruismâ moderated in a negative direction. Meta-analysis found a large effect of attitudes, a medium effect of subjective norms, and a small effect of self-efficacy in relation to intended participation. In conclusion, the results did not validate the theory of planned behavior in the context of volunteer tourism research. Interestingly, the theory of reasoned action was found to be validated. Implications for volunteer tourism providers and organizations are also discussed.<br>Ph. D.

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Pookulangara, Sanjukta Arun. "Explaining consumers' channel-switching behavior using the theory of planned behavior." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5598.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on July 29, 2009) Includes bibliographical references.

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Almageni, Nola. "MARIJUANA BEHAVIORS IN THE ARABIAN GULF (GCC): APPLYING THEORY OF PLANNED BEHAVIOR." UKnowledge, 2013. http://uknowledge.uky.edu/comm_etds/18.

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The theory of planned behavior is a great tool for understanding predictors of drug use, specifically marijuana. Although the theory has been applied in the U.S. and European context, research on the predictors of behavioral intention for marijuana use within the Arabian Gulf context is limited. This thesis provides an overview of the theory of planned behavior as used in the U.S. and European context. An argument for the need to better understand predictors of behavioral intentions to use drugs, in the Arabian Gulf Region, prior to developing interventions and preventions is presented. Data was collected from 95 participants between the ages of 18-25 who were from the six GCC countries. Participants had the option to complete the survey in English or in Arabic. Results of the study suggest attitudes are the strongest predictor for behavioral intentions to use marijuana. Knowledge and sensations seeking were not significantly related to behavioral intentions for marijuana use within the current sample.

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Greene, Kimberly Faw. "Help-seeking intentions and the theory of planned behavior /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488191124570957.

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Lu, Yifu. "College Students' E-Coupon Search Behavior: A Theory of Planned Behavior Perspective." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1398916048.

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Cheng, Xu. "Applying the Theory of Planned Behavior to Influence Auditors' Knowledge-Sharing Behavior." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6691.

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This study adopts the theory of planned behavior to understand and influence auditors’ knowledge-sharing behavior. Ajzen (1991) indicates that persuasive communications, such as belief-targeted messages, can be used as behavioral interventions to alter intentions and behaviors. Thus, this study develops and evaluates the effectiveness of behavioral interventions (belief-targeted messages) in encouraging auditors’ knowledge-sharing behavior. This study uses a 2×2 between-participants design. Arguments targeting behavioral beliefs and arguments targeting normative beliefs are manipulated. Consistent with expectations, the results of this study were that (1) auditors exposed to an intervention share more knowledge, compared to auditors not exposed to any interventions; (2) auditors share the most knowledge when exposed to an intervention that includes arguments targeting both behavioral and normative beliefs; (3) the effects of behavioral interventions on knowledge-sharing intention are mediated by auditors’ attitudes and perceived norms related to knowledge sharing; and (4) the influences of attitude and perceived norms on knowledge-sharing behavior are mediated by the intention to share knowledge. The findings of this study have implications for literature and practice. It extends the theory of planned behavior to the auditing setting and examines auditors’ knowledge-sharing behavior with the firm’s knowledge management systems (KMS). Knowledge sharing with the firm’s KMS could potentially mitigate knowledge loss for public accounting firms. The findings of this study provide guidelines to firms regarding how they can encourage knowledge sharing among auditors.

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Gadiraju, Tejaswini. "Investigating the Determinants of Recycling Behavior in Youth by Using Theory of Planned Behavior." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6085.

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The aim of this study is to understand the determinants that influence the youth recycling behavior intention. In other words, this study wants to know the motivations and barriers behind university students’ recycling behavior. The Theory of Planned Behavior (TPB), which provides a theoretical framework for systematically identifying the determinants of recycling behavior, is the basis for this study. Along with the TPB variables, additional predictor variables (moral norm, past experience, knowledge of how and what to recycle, knowledge of consequences, and inconvenience) that can influence behavior intentions were tested in the study. Online survey was used to collect the required information and the sample consists of 172 students from University of South Florida. The findings suggest that past recycling experience is the major contributor to recycling behavior. Moral norm, knowledge of how and what to recycle and knowledge of consequences are also significant predictors of recycling behavior. In other words, students are more likely to form the intention to recycle, when they have prior experience with recycling on campus, if they personally feel recycling is the right thing to do, when they have appropriate knowledge of recycling and when they are aware of consequences of recycling. Recommendations to promote recycling behavior among students are discussed in this study.

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Pelander, Laura, and Jesper Sundström. "Self-Determination Theory och Theory of Planned Behavior: Teoretiska ramverk för att predicera träningsmängd." Thesis, Umeå universitet, Institutionen för psykologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159352.

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Träning medför såväl fysiska som psykiska hälsofördelar. Trots att detta är vedertaget, tränar människor olika mycket och det finns även en andel människor som tränar otillräckligt. I föreliggande studie användes Self-Determination Theory (SDT) och Theory of Planned Behavior (TPB), för att undersöka om faktorer inom dessa teorier kan förutsäga hur mycket människor i åldern 18 – 30 tränar i veckan. Data från personer som tränade olika mycket (n= 196, Målder= 24.94, SD= 2.69) samlades in genom ett elektroniskt självskattningsformulär som bestod av frågor om träning, Behavioral Regulations in Exercise Questionnaire (BREQ-3) och Theory of Planned Behavior Questionnaire. Multipla regressionsanalyser genomfördes för att undersöka hur väl SDT, TPB och en kombination av dessa predicerade träningsmängd. Resultatet visade att SDT och TPB såväl enskilt som tillsammans förklarade en signifikant andel av variansen i träningsmängd, samt att autonom motivation från SDT och upplevd beteendekontroll från TPB var de bästa prediktorerna för träningsmängd. Detta pekar på att en upplevelse av att träning är lätt, glädjefyllt och en integrerad del av en själv, förutsäger hög träningsmängd i veckan. Framtida forskning kan med fördel undersöka vilka andra faktorer utöver SDT och TPB som kan förklara varför människor tränar olika mycket.<br>Exercise entails both physical and mental health benefits. Despite this being common knowledge, people differ in the amount of exercise performed and some even exercise insufficiently. In the present study Self-Determination Theory (SDT) and Theory of Planned Behavior (TPB) were used to examine if factors within these theories can predict the amount of exercise performed in a week by people in the age of 18 to 30 years. Data from people that differed in the amount of exercise (n= 196, Mage= 24.94, SD= 2.69) was gathered through an electronic survey consisting of questions regarding exercise, Behavioral Regulations in Exercise Questionnaire (BREQ-3) and Theory of Planned Behavior Questionnaire. Multiple regression analysis was used to examine to what extent SDT, TPB and a combination of these were able to predict the amount of exercise. Results showed that SDT and TPB, both together and on their own, explained a significant amount of the variance in the amount of exercise performed and that autonomous motivation from SDT and perceived behavioral control from TPB were the best predictors for the amount of exercise performed. This suggests that the experience of exercise being easy, joyful and an integrated part of the self, predicts a high amount of exercise. Future research could examine other factors beyond SDT and TPB that can explain the difference in the amount of exercise people perform.

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Heath, Yuko. "Extending the theory of planned behavior, predicting transportation mode choices." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ48213.pdf.

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George, Pamela Renee. "Utitlizing the theory of planned behavior to explain suicidal intent." [Huntington, WV : Marshall University Libraries], 2008. http://www.marshall.edu/etd/descript.asp?ref=862.

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Bücher zum Thema "Theory of Planned Behavior"

Peterson, Tim, and Barbara A. Ritter. Theory of Planned Behavior. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071923306.

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Kumar, Bipul. A theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. Ahmedabad: Indian Institute of Management, 2012.

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Persaud, Amrita. The Theory of Planned Behavior as a Predictor of Adherence to Bariatric Recommendations for Diet and Physical Activity. [New York, N.Y.?]: [publisher not identified], 2019.

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McLaughlin, Christopher. Predicting and understanding prejudice and discrimination: An application of the theory of planned behaviour. [S.l: The Author], 2004.

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Passmore, Sandra Christine. Changing food choices at secondary school: An application of the theory of planned behaviour. Birmingham: University of Birmingham, 2003.

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Elliott, Joseph Rothora. The applicability of the theory of planned behaviour in the management of blood pressure levels. London: PEL, 1992.

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Scott, Pamela E. Factors affecting a woman's decision to leave an abusive relationship: The theory of planned behaviour. St. Catharines, Ont: Brock University, Dept. of Psychology, 1998.

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Wong, Julie. Application of the theory of planned behaviour to latex condom use among Chinese young women. Ottawa: National Library of Canada, 1996.

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Mariano, Claudia. Safer sexual behaviours of nursing students: An application of the theory of planned behaviour to the intention to use condoms. Ottawa: National Library of Canada, 1993.

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1965-, Plaud Joseph J., and Eifert Georg H. 1952-, eds. From behavior theory to behavior therapy. Boston: Allyn and Bacon, 1998.

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Buchteile zum Thema "Theory of Planned Behavior"

Kan, Matthew P. H., and Leandre R. Fabrigar. "Theory of Planned Behavior." In Encyclopedia of Personality and Individual Differences, 5476–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1191.

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Heller, Lois Jane, Celette Sugg Skinner, A. Janet Tomiyama, Elissa S. Epel, Peter A. Hall, Julia Allan, Lara LaCaille, et al. "Theory of Planned Behavior." In Encyclopedia of Behavioral Medicine, 1964. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1699.

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John W., Showalter, and Williams Leigh T. "Theory of Planned Behavior." In Mastering Physician Engagement, 21–30. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315367279-3.

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Kan, Matthew P. H., and Leandre R. Fabrigar. "Theory of Planned Behavior." In Encyclopedia of Personality and Individual Differences, 1–8. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1191-1.

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Ursavaş, Ömer Faruk. "Theory of Planned Behavior." In Springer Texts in Education, 41–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10846-4_3.

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Lüdemann, Christian. "Die Theory of Planned Behavior." In Rationalität und Umweltverhalten, 43–95. Wiesbaden: Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-08905-6_5.

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Yulisa, L., S. Bangsawan, and Ribhan. "Consumer behavioral condition shares (Theory of Planned Behavior)." In The Future Opportunities and Challenges of Business in Digital Era 4.0, 174–78. Leiden, The Netherlands : CRC Press/Balkema, [2020]: Routledge, 2020. http://dx.doi.org/10.1201/9780367853778-47.

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Heydari, Mohammad. "Introduction to the theory of planned behavior." In Corruption and Entrepreneurship, 1–13. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003452508-1.

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Heydari, Mohammad. "Moderators in the theory of planned behavior." In Corruption and Entrepreneurship, 55–70. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003452508-4.

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Rossmann, Constanze. "Ajzen (1985): A theory of planned behavior." In Schlüsselwerke für die Strategische Kommunikationsforschung, 207–17. Wiesbaden: Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-45292-6_18.

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Konferenzberichte zum Thema "Theory of Planned Behavior"

Zheng, Youfu, Yida Chai, Yiping Le, and Huapu Lu. "Study on Green Transportation Behaviors in Beijing, Tokyo, and Klang Valley based on Theory of Planned Behavior." In 2023 IEEE 8th International Conference on Intelligent Transportation Engineering (ICITE), 255–60. IEEE, 2023. http://dx.doi.org/10.1109/icite59717.2023.10733810.

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Rehman, Zahoor Ur, Sonia Lohana, and Muhammad Irfan. "Driving and Deterrent Factors Affecting Green Products' Consumption. Extended the Theory of Planned Behavior." In 2024 Global Conference on Wireless and Optical Technologies (GCWOT), 1–9. IEEE, 2024. https://doi.org/10.1109/gcwot63882.2024.10805697.

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Rahayu, Nopia, Angela Angkouw, Stefani Natalia Gunawan, Lianna Wijaya, Theoneste Manishimwe, and Kin Meng Cheng. "Investigating Entrepreneurial Motivation and Intention Among Indonesian Youths: Integrated the Theory of Planned Behavior." In 2024 International Conference on Sustainable Islamic Business and Finance (SIBF), 1–6. IEEE, 2024. https://doi.org/10.1109/sibf63788.2024.10883874.

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Hanum, Rastinia Kamila, Yessy Fouryana, Aryobagas Galih Brahmanto, Brian Garda Muchardie, and Lianna Wijaya. "Antecedents of Adoption Intention of Electric Vehicles in Indonesia: Using Extended Theory of Planned Behavior." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 1–5. IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985231.

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Musyaffa, Alma Muthia, Sri Utari, Lianna Wijaya, Stella Bolanle Apata, Kin Meng Cheng, and Muhammad Asim Imran. "Green Marketing Practices by Integrated Theory of Planned Behavior: Focusing on Indonesian Gen Z Consumers." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), 1–6. IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10956278.

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Wei, Wei, Shengjung OU, and Qianling Jiang. "Discussion on Sharing Bicycle Users' Parking Behavior with Planned Behavior Theory." In 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS). IEEE, 2019. http://dx.doi.org/10.1109/ecbios.2019.8807818.

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Simatupang, Rintar, Margareth Sabarofek, and Makarius Bajari. "A Study on Behavioral Intentions: An Theory Planned Behavior Perspectives." In Proceedings of the 3rd International Conference of Business, Accounting, and Economics, ICBAE 2022, 10-11 August 2022, Purwokerto, Central Java, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.10-8-2022.2320837.

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Panduwinata, Annisa Widya, Bhisma Murti, and Pawito Pawito. "Theory of Planned Behavior on the Determinants of Smoking Behavior among Adolescents." In The 5th Intenational Conference on Public Health 2019. Masters Program in Public Health, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/theicph.2019.02.10.

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Zhu, Liwei, Zhiyong Zhang, and Zuojun Bao. "Speeding Behaviors in Beijing Based on the Theory of Planned Behavior." In Third International Conference on Transportation Engineering (ICTE). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)91.

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Kirby, Caitlin K., and Julie C. Libarkin. "UNDERSTANDING CLIMATE CHANGE BEHAVIORS USING A MODIFIED THEORY OF PLANNED BEHAVIOR." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-303415.

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Berichte der Organisationen zum Thema "Theory of Planned Behavior"

Han, Tae-Im, and Leslie Stoel. Explaining socially responsible consumer behavior: A meta‐analytic review of theory of planned behavior. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-928.

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Nindl, Elisabeth, and Peter Kaufmann. Analysis of the Innosuisse start-up training in a Theory of Planned Behavior framework. Fteval - Austrian Platform for Research and Technology Policy Evaluation, March 2020. http://dx.doi.org/10.22163/fteval.2020.468.

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Lin, Sheng-Chen, and Joan Ellis. The Role of Values in the Theory of Planned Behavior: An Organic Apparel Context. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-839.

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Shepard, Arlesa, and Sanjukta Pookulangara. Using Theory of Planned Behavior to Explain Consumers’ Intention to Purchase Slow Fashion Apparel. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-952.

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Su, Ronghai. A New Interpretation of the Role of Perceived Behavior Control in Planned Behavior Theory: Meta-analysis and Heterogeneity Test of Health-related Behavior Literature. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0084.

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Coriano, C., and A. R. White. Gauge theory high-energy behavior from J-plane unitarity. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/179293.

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Walters-Chester, Britney. Using Theory of Planned Behavior to Create a Smartphone App to Increase Student Usage at Recreation Services at Iowa State University. Ames (Iowa): Iowa State University, January 2020. http://dx.doi.org/10.31274/cc-20240624-1571.

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Dougherty, Leanne, and Jessie Pinchoff. Evidence to inform an integrated social and behavior change strategy in the Sahel. Population Council, February 2020. http://dx.doi.org/10.31899/sbsr2020.1007.

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Annotation:

Breakthrough RESEARCH completed this literature review, which summarized the evidence, or lack thereof, in the Sahel, to establish a rationale for the planned RISE II SBC evaluation as described in the study protocol. The literature review provides an overview of the health and development challenges in the region, along with priority health behaviors and their determinants followed by a description of SBC programmatic approaches that have addressed behavioral determinants and health outcomes in the region.

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yin, yao, dong sun, fei qi, and cheng qiu. Extended Theory of Planned Behaviour for Physical Activity Behaviour in Youth (15-24)： A Meta-analytic Structural Equation Modeling Approach. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2024. http://dx.doi.org/10.37766/inplasy2024.3.0027.

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Spofford, Yuko. Intentions to Cooperate with Court Appointed Special Advocates (CASAs) in Child Protective Proceedings: The Role of Perceived Social Pressure in The Theory of Planned Behavior. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6984.

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