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Journal articles on the topic 'Planned behaviour'

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Published: 4 June 2021
Last updated: 28 January 2023

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1

Phillips, Barbara. "The Theory of Planned Behaviour." Journal of Customer Behaviour 18, no. 4 (December 1, 2019): 273–81. http://dx.doi.org/10.1362/147539219x15774563471838.

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2

Rhodes, RE, and KS Courneya. "Modelling the theory of planned behaviour and past behaviour." Psychology, Health & Medicine 8, no. 1 (February 2003): 57–69. http://dx.doi.org/10.1080/1354850021000059269.

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3

Sammut, Gordon, and Luke Joseph Buhagiar. "The Sociocultural Determination of Planned Behaviour." Integrative Psychological and Behavioral Science 51, no. 1 (December 19, 2016): 164–70. http://dx.doi.org/10.1007/s12124-016-9374-2.

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4

Mannetti, Lucia, Antonio Pierro, and Stefano Livi. "Recycling: Planned and self-expressive behaviour." Journal of Environmental Psychology 24, no. 2 (June 2004): 227–36. http://dx.doi.org/10.1016/j.jenvp.2004.01.002.

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5

Chen, Annie Huiling, Kuang-peng Hung, and Norman Peng. "Planned leisure behaviour and pet attachment." Annals of Tourism Research 38, no. 4 (October 2011): 1657–62. http://dx.doi.org/10.1016/j.annals.2011.04.001.

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6

Tang, Honglei, Zeeshan Rasool, Mohsin Ali Khan, Ahmad Imran Khan, Farooq Khan, Hina Ali, Anum Afzal Khan, and Syed Arslan Abbas. "Factors Affecting E-Shopping Behaviour: Application of Theory of Planned Behaviour." Behavioural Neurology 2021 (November 23, 2021): 1–15. http://dx.doi.org/10.1155/2021/1664377.

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E-shopping is a rapidly growing phenomenon among different individuals who intend to shop online. However, a trust deficit in the E-shopping environment has always been a critical issue in the brick-and-click mode of shopping, being one of the main reasons for E-cart abandonment in E-commerce. This empirical study is aimed at investigating the perceived effect of website trust on E-shopping intentions and behaviour, drawing upon the theory of planned behaviour (TPB). Data were collected through self-administered questionnaires from working adults who shop for garments online. Structural equation modelling was used to evaluate the model fit and assumptions. Our findings suggest that website trust and E-shopping attitude play substantial roles in building E-shopping intentions and actual behaviours. Both are the significant predictors of the behaviour mediated by E-shopping intentions. However, E-shopping intentions did not mediate between subjective norms and E-shopping behaviour, when working adults decide to purchase garments online.
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Webb, Katie L. "Theory of planned behaviour: general practitioners’ prescribing and referral behaviour." European Journal for Person Centered Healthcare 5, no. 1 (May 23, 2017): 75. http://dx.doi.org/10.5750/ejpch.v5i1.1210.

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Rationale and aims: The vast majority of patients seen in general practice present with a mental health component to their illness. Despite current clinical guidelines, suggesting referral to psychological-based treatments being a more appropriate course of action, anti-depressant prescription remains high for those suffering common mental health problems (CMHPs). This study aimed to investigate General Practitioners’ (GPs) behaviour regarding the prescription of antidepressants and referral to psychological-based treatment for individuals with CMHPs, using the Theory of Planned Behaviour (TPB). Method: Online and postal questionnaires were developed in line with the TPB model following consultation, pilot study and cognitive debriefing. Questionnaires were distributed to all working GPs in Wales, UK. Data underwent statistical analysis.Results: Analysis of responses (n=127) showed a GP’s decision to prescribe antidepressants to patients with CMHPs is significantly influenced by both ‘attitude’ and ‘subjective norm’, while perceived behavioural control was non-significant. Over half of the study GPs did not feel in control of prescribing antidepressants to those with CMHPs. GPs’ intention to refer for psychological-based treatment was significantly influenced by attitude, while further analysis showed GPs did not feel in control of referring for psychological-based treatment.Conclusion: Using TPB helped to explain GPs’ antidepressant prescribing and referral to psychological-based treatment behaviours. GPs’ intention to prescribe and refer were shown to be moderated by behavioural and normative beliefs, while control beliefs were non-significant. The presence of personal experience as a predictable feature to prescribing and referral behaviour is something that could figure more prominently within early phases of medical training.
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Norman, Paul, and Mark Conner. "The theory of planned behaviour and binge drinking: Assessing the moderating role of past behaviour within the theory of planned behaviour." British Journal of Health Psychology 11, no. 1 (February 2006): 55–70. http://dx.doi.org/10.1348/135910705x43741.

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Mohamad, Nur Shafeera, and Thoo Ai Chin. "Extend Theory of Planned Behavior for Recycling in Electronic Waste." Journal of Research in Administrative Sciences 9, no. 2 (December 15, 2020): 1–5. http://dx.doi.org/10.47609/jras2020v9i2p1.

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Electronic waste (e-waste) is generated at a rapid pace when there are millions of electronic appliances including mobile phones, televisions, computers, laptops, and tablets have very short time lifespans. In addition, e-waste is classified as any types of electric and electronic merchandises that have no value to consumers. Even though e-waste is known as trash, but it can be used as a secondary resource to decrease the number of hazardous contents that may harm the environment. Despite being thrown away,e-waste can be reused, resold, recovered, remanufactured, and recycled. Theory of Planned Behavior (TPB) is used as an underpinning theory to examine the factors that influence consumer’s behaviour towards e-waste recycling in Malaysia. TPB is a classical theory to predict one’s beliefs and behaviour. The theory shows that attitude, subjective norms, and perceived behavioural control could explain an individual’s behavioural intentions and behaviours. However, TPB is insufficient to explain pro-environmental actions such as returning e-waste. Recycling behaviour involves external resources and expertise. Thus, this study extended the theory by incorporating other factors such as awareness of the environment consequences, perceived convenience, and moral obligation. This study will use an online survey. Data will be selected and collected from respondents in Malaysia who age above 18 years old and use electronic products via purposive sampling method. Structural equation modelling (SEM) approach will be employed for data analysis and hypotheses testing. The findings of this review are significant to the government, organizations, electronic consumers and researchers that e-waste recycling can be enhanced using extended TPB. Keywords: Electronic waste (e-waste), Electronic Appliances, Recycling, Theory of Planned Behavior (TPB)
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Mohamad, Nur Shafeera, and Thoo Ai Chin. "Extend Theory of Planned Behavior for Recycling in Electronic Waste." Journal of Research in Administrative Sciences 9, no. 2 (December 15, 2020): 1–5. http://dx.doi.org/10.47609/jras2020v9i2p1.

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Electronic waste (e-waste) is generated at a rapid pace when there are millions of electronic appliances including mobile phones, televisions, computers, laptops, and tablets have very short time lifespans. In addition, e-waste is classified as any types of electric and electronic merchandises that have no value to consumers. Even though e-waste is known as trash, but it can be used as a secondary resource to decrease the number of hazardous contents that may harm the environment. Despite being thrown away,e-waste can be reused, resold, recovered, remanufactured, and recycled. Theory of Planned Behavior (TPB) is used as an underpinning theory to examine the factors that influence consumer’s behaviour towards e-waste recycling in Malaysia. TPB is a classical theory to predict one’s beliefs and behaviour. The theory shows that attitude, subjective norms, and perceived behavioural control could explain an individual’s behavioural intentions and behaviours. However, TPB is insufficient to explain pro-environmental actions such as returning e-waste. Recycling behaviour involves external resources and expertise. Thus, this study extended the theory by incorporating other factors such as awareness of the environment consequences, perceived convenience, and moral obligation. This study will use an online survey. Data will be selected and collected from respondents in Malaysia who age above 18 years old and use electronic products via purposive sampling method. Structural equation modelling (SEM) approach will be employed for data analysis and hypotheses testing. The findings of this review are significant to the government, organizations, electronic consumers and researchers that e-waste recycling can be enhanced using extended TPB. Keywords: Electronic waste (e-waste), Electronic Appliances, Recycling, Theory of Planned Behavior (TPB)
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11

Keong, Yeo Ooi, and Giles Hirst. "An Empirical Integration of Goal Orientation and the Theory of Planned Behaviour." International Journal of Entrepreneurship and Innovation 11, no. 1 (February 2010): 5–18. http://dx.doi.org/10.5367/000000010790772430.

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This paper investigates the efficacy of an integrated model, consisting of the theory of planned behaviour and goal orientation, in predicting innovation adoption behaviour. The model was used to predict innovation adoption behaviours using a sample of 80 egg farmers. The results showed that most of the hypothesized relationships within the theory of planned behaviour were supported. In particular, attitudes and subjective norms were significant predictors of intentions, which subsequently predicted innovation adoption behaviour. Furthermore, learning goal orientation was a significant positive predictor of intentions and innovation adoption, and this relationship was partially mediated by attitudes.
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Japutra, Arnold, Sandra Maria Correia Loureiro, Sebastian Molinillo, and Yuksel Ekinci. "Travellers' mindsets and theory of planned behaviour." Tourism Management Perspectives 30 (April 2019): 193–96. http://dx.doi.org/10.1016/j.tmp.2019.02.011.

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13

Verplanken, Bas, Henk Aarts, Ad Knippenberg, and Anja Moonen. "Habit versus planned behaviour: A field experiment." British Journal of Social Psychology 37, no. 1 (March 1998): 111–28. http://dx.doi.org/10.1111/j.2044-8309.1998.tb01160.x.

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14

Arshad, Imran, Irma Tayasri, Loh Chik Im, and Muhammad Amsal Sahban. "Perceived Risk and Theory of Planned Behaviour." Jurnal Aplikasi Manajemen, Ekonomi dan Bisnis 6, no. 1 (October 30, 2021): 25–36. http://dx.doi.org/10.51263/jameb.v6i1.136.

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The purpose of this paper is to determine the investment intentions of individual investors using social psychological perspective. This research incorporates perceived risk as an additional variable (attitude) in the existing theory of planned behaviour (TPB) framework. Given the nature of this study, a quantitative approach with cross-sectional survey has been used in order to furnish some empirical evidence on investment intentions of individual investors. Where data from 548 potential investors was collected using a simple random technique and respondents were asked on their perceived risk, subjective norms and perceived behavioural control aspects with the help of well-established scales. The collected data was analysed using structural equation modelling technique with the help of SmartPLS 3.2.7. Perceived risk has a negative influence on the investment intentions of individual investors. On the other hand, subjective norm and perceived behavioural control have a positive influence on the investment intentions of individual investors. The current research is first of its kind which includes perceived risk is used as an attitudinal factor to test in the theory of planned behaviour. This study further confirmed that not only perceived risk but the subjective norm and perceived behavioural control influence the investment intentions of individual investors
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15

Churchill, Sue, Donna Jessop, and Paul Sparks. "Impulsive and/or planned behaviour: Can impulsivity contribute to the predictive utility of the theory of planned behaviour?" British Journal of Social Psychology 47, no. 4 (December 2008): 631–46. http://dx.doi.org/10.1348/014466608x284434.

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Khandelwal, Gourank, and Bhavana Arya. "Parent-Child Communication about Sexuality: a Theory of Planned Behaviour Approach." AMBIENT SCIENCE 9, no. 01 (June 2022): 11–15. http://dx.doi.org/10.21276/ambi.2022.09.2.oa02.

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17

Setyorini, Noni, and Ika Indriasari. "Does millennials have an investment interest? theory of planned behaviour perspective." Diponegoro International Journal of Business 3, no. 1 (June 30, 2020): 28–35. http://dx.doi.org/10.14710/dijb.3.1.2020.28-35.

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This study aims to determine the effect of attitudes, subjective norms, and perceived behavioral control of interest in investing. This research use theory of planned behavior to explain how behavior is formed through attitudes, subjective norms, and perceived behavioral control in taking investment decision. This research uses online survey data collection methods. Sampling uses the convenient sampling method. Data (questionnaire) which can be used as many as 100 data and using multiple regression analysis as the test tool. The results showed that the attitude variable has not a significant effect towards investing interest in the capital market, while subjective and perceived norms behavioral control has influenced investment interest in the capital market. Based on the research findings, it is advisable to use persuasion that emphasizes the involvement of those closest to potential investors. In addition, seminars organized by IDX and the government will greatly help increase investor knowledge, thereby increasing one's investment power control.
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18

Shi, Jing, Dandan Peng, and Yao Xiao. "Exploration of Contributing Factors of Different Distracted Driving Behaviors." PROMET - Traffic&Transportation 31, no. 6 (December 16, 2019): 633–41. http://dx.doi.org/10.7307/ptt.v31i6.2962.

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The motivation of this research is to explore the contributing factors of driving distraction and compare the contributing factors for three typical distracted driving behaviours: drinking water, answering a phone and using mobile phone application (APP) while driving. An online survey including a driving behaviour scale and the Theory of Planned Behaviour Questionnaire (TPB Questionnaire) was conducted to obtain data related to these driving distractions. An integral structural equation model based on the Theory of Planned Behaviour (TPB) was established to explain the factors causing three typical distracted behaviours, and the causes of differences for three typical distracted behaviours were compared. The result shows that the attitudes and perceived behaviour control are the main factors causing distracted behaviours, and the subjective norm has a significant impact on answering a phone while driving. The occurrence of a distracted driving behaviour is the consequence of behaviour intention and perceived behaviour control. These conclusions provide insights for implementing behaviour modification and traffic laws education.
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Arya, Bhavana, and Shiromi Chaturvedi. "Extending the Theory of Planned Behaviour to Explain Energy Saving Behaviour." Environmental and Climate Technologies 24, no. 1 (January 1, 2020): 516–28. http://dx.doi.org/10.2478/rtuect-2020-0032.

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Abstract Existing research in environmental psychology suggests that humans are conscious of the impact that their actions have on the environment. However, a corresponding change is yet to be seen in the voluntary adoption of pro-environmental behaviour by the Indian population. While there is an overall improvement in the ecological consciousness, we need to find out the psychological factors that promote adoption and maintenance of environmentally responsible behaviour. The current study incorporated the construct of consideration of future consequences (CFC) into the theory of planned behaviour (TPB) to investigate energy-conservation behaviour in 232 college students. Results confirmed that TPB constructs predict pro-environmental behaviour. Results also confirmed that consideration of future consequences is positively related to efficiency enhancing pro-environment behaviour. The research has implications for planning interventions that address both adoption and maintenance of pro-environment behaviour.
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Burns, Sarah, and Lynne Roberts. "Applying the Theory of Planned Behaviour to predicting online safety behaviour." Crime Prevention and Community Safety 15, no. 1 (February 2013): 48–64. http://dx.doi.org/10.1057/cpcs.2012.13.

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21

King, Tamira, and Charles Dennis. "Interviews of deshopping behaviour: an analysis of theory of planned behaviour." International Journal of Retail & Distribution Management 31, no. 3 (March 2003): 153–63. http://dx.doi.org/10.1108/09590550310465558.

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22

Elliott, Mark A., Christopher J. Armitage, and Christopher J. Baughan. "Using the theory of planned behaviour to predict observed driving behaviour." British Journal of Social Psychology 46, no. 1 (March 2007): 69–90. http://dx.doi.org/10.1348/014466605x90801.

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23

Kautonen, Teemu, Marco van Gelderen, and Erno T. Tornikoski. "Predicting entrepreneurial behaviour: a test of the theory of planned behaviour." Applied Economics 45, no. 6 (February 2013): 697–707. http://dx.doi.org/10.1080/00036846.2011.610750.

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24

Fleșeriu, Cristina, Smaranda Adina Cosma, and Vlad Bocăneț. "Values and Planned Behaviour of the Romanian Organic Food Consumer." Sustainability 12, no. 5 (February 25, 2020): 1722. http://dx.doi.org/10.3390/su12051722.

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Romanian consumers have started to buy and consume more organic products. Their decision-making process is influenced by multiple variables. The theory of planned behaviour is widely accepted and used to predict behaviours in certain contexts, including the buying of organic food products. Other researchers have identified values that the consumer of organic products hold and that influence their buying behaviour. This study analyses the factors that have an impact on buying intention and behaviour of Romanian organic products from these two perspectives. A proposed model was designed by combining the two frameworks. It was evaluated by using structural equation modelling with the SmartPLS 3 software package (v. 3.2.7, SmartPLS GmbH, Bönningstedt, Germany, 2017). Results confirm the model proposed in the theory of planned behaviour while integrating the relationships of consumer values. Health consciousness was found to have a significant effect both on buying intention as well as on personal attitude. Food safety has a significant effect on buying intention regardless of personal attitude. Environmental concerns, social consciousness, perception of quality and lifestyle although important in personal attitude, do not affect buying intention directly.
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Maggioni, Isabella, Sean James Sands, Carla Renee Ferraro, Jason Ian Pallant, Jessica Leigh Pallant, Lois Shedd, and Dewi Tojib. "Consumer cross-channel behaviour: is it always planned?" International Journal of Retail & Distribution Management 48, no. 12 (August 5, 2020): 1357–75. http://dx.doi.org/10.1108/ijrdm-03-2020-0103.

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PurposeFor consumers, cross-channel behaviour is increasingly prevalent. Such behaviour involves consumers actively engaging in (and deriving benefit) from one channel during a product search but switching to another channel when making a purchase. Drawing on multi-attribute utility theory, this study proposes a cross-channel behaviour typology consisting of three key aspects: channel choice behaviour, functional and economic outcomes and consumer-specific psychographic and demographic variables.Design/methodology/approachSegmentation analysis conducted via latent class analysis (LCA) was performed on a sample of 400 US consumers collected via an online survey.FindingsCross-channel behaviour is not always intentional. We identify a specific segment of consumers that most often engage in unplanned, rather than intentional, cross-channel switching. We find that of all shoppers that engage in cross-channel behaviour, a fifth (20%) are forced to switch channels at the point of purchase.Practical implicationsCross-channel behaviour can be mitigated by retailers via a deep understanding of the driving factors of different configurations of showrooming and webrooming.Originality/valueIn contrast with existing conceptualisations, this study suggests that cross-channel behaviour often stems from consumers being “forced” by factors outside of their control, but within the retailers' control. This research presents a nuanced approach to decompose consumer cross-channel behaviour from the consumer perspective as planned, forced or opportunistic.
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Chao, Yu-Long. "Predicting people’s environmental behaviour: theory of planned behaviour and model of responsible environmental behaviour." Environmental Education Research 18, no. 4 (August 2012): 437–61. http://dx.doi.org/10.1080/13504622.2011.634970.

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27

Mullan, Barbara A., and Cara L. Wong. "Hygienic food handling behaviours. An application of the Theory of Planned Behaviour." Appetite 52, no. 3 (June 2009): 757–61. http://dx.doi.org/10.1016/j.appet.2009.01.007.

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Kumar, Sushil, and Satyasiba Das. "An extended model of theory of planned behaviour." Journal of Entrepreneurship in Emerging Economies 11, no. 3 (September 2, 2019): 369–91. http://dx.doi.org/10.1108/jeee-09-2018-0089.

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Purpose The purpose of this study is to provide an extended model of the theory of planned behaviour (TPB) and examine how institutional infrastructure and two social factors – peer effect and gender discrimination – determine entrepreneurial intention in emerging economies such as India. Design/methodology/approach Using a structural equation modelling (SEM) approach, the proposed model is tested on a sample of 265 post-graduate students from the Indian Institute of Management campuses in India. Perceived gender discrimination is used as a grouping variable to test its impact in the model. Findings The study found that peer effect has positive association with an individual attitude towards entrepreneurship. It also found positive moderating effect of institutional infrastructure on entrepreneurial intention in a regional entrepreneurial ecosystem, but in case of entrepreneurial self-efficacy, the result is non-conclusive. Further, our results establish that gender discrimination has varying influence but remains a significant factor to choose entrepreneurial career in emerging countries such as India. Research limitations/implications The study adds to the understanding of drivers or antecedents to entrepreneurial intention, especially in emerging economy context and finds its usefulness in country such as India. It contributes to the existing model by empirically proving the role of peer effect and institutional infrastructure in emerging economies which are characterised by weak institutions and inadequate access to resources to start and sustain any entrepreneurial activity. Practical implications The results make several implications for academic institutions, entrepreneurial ecosystem stakeholders and policy makers in emerging economies. The academic institutions, universities and incubation hubs can consider promoting a peer-group culture that strengthens individual’s EI in emerging economies. Policy makers and stakeholders should build an encouraging entrepreneurial ecosystem with adequate institutional infrastructure to promote entrepreneurship. Originality/value The authors extend research on entrepreneurial intention beyond individual factors (personal-level variables) and examine the contingent role of institutional infrastructure and socio-cultural factors (peer effect and gender discrimination). Whilst TPB successfully predicted entrepreneurial intention in Western settings, this study provides strong empirical evidence to this research in emerging countries.
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Almeida, L., J. Cruz, H. Ferreira, and A. A. Pinto. "Bayesian–Nash equilibria in theory of planned behaviour." Journal of Difference Equations and Applications 17, no. 7 (July 2011): 1085–93. http://dx.doi.org/10.1080/10236190902902331.

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Ajzen, Icek. "The theory of planned behaviour: Reactions and reflections." Psychology & Health 26, no. 9 (September 2011): 1113–27. http://dx.doi.org/10.1080/08870446.2011.613995.

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31

Krueger, Norris F., and Alan L. Carsrud. "Entrepreneurial intentions: Applying the theory of planned behaviour." Entrepreneurship & Regional Development 5, no. 4 (January 1993): 315–30. http://dx.doi.org/10.1080/08985629300000020.

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32

Sniehotta, Falko F., Justin Presseau, and Vera Araújo-Soares. "Time to retire the theory of planned behaviour." Health Psychology Review 8, no. 1 (January 2, 2014): 1–7. http://dx.doi.org/10.1080/17437199.2013.869710.

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Thoradeniya, Prabanga, Janet Lee, Rebecca Tan, and Aldónio Ferreira. "Sustainability reporting and the theory of planned behaviour." Accounting, Auditing & Accountability Journal 28, no. 7 (September 21, 2015): 1099–137. http://dx.doi.org/10.1108/aaaj-08-2013-1449.

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Purpose – Drawing upon the theory of planned behaviour (TPB), the purpose of this paper is to examine the influence of managers’ attitude and other psychological factors on sustainability reporting (SR). In doing so, this paper aims to respond to calls for the use of previously untried theoretical approaches on the SR literature. Design/methodology/approach – The study uses a survey of top and middle-level managers of listed and non-listed companies in Sri Lanka. Data were analysed using a Partial Least Squares path model. Findings – The findings indicate that managers’ attitude towards SR, belief about stakeholder pressure, and their capacity to control SR behaviour influence their intention to engage in SR and, indirectly, actual corporate SR behaviour (in the context of listed companies). However, whilst managers of non-listed companies exhibit the intention to engage in SR, the lack of a relationship between intention and behaviour suggests that companies face barriers towards SR due to lack of actual control over the SR process. Religion, in the case of non-listed companies, and education, in the case of listed companies, has some degree of influence over managers’ beliefs. Research limitations/implications – The use of self-reported SR behaviour is a limitation but necessary to maintain anonymity of respondents. The low levels of self-reported SR correspond with past evidence on actual SR in developing countries. Practical implications – The results show that managers’ psychological factors are important in determining SR behaviour in companies. Specifically, this highlights the possible roles that regulators, professional bodies and companies can play in improving educational and cultural influences towards improving the level of SR. Originality/value – This is the first study to apply the TPB to understand SR behaviour by integrating psychological factors relating to managers’ belief, attitudes and perceptions.
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East, Robert. "Investment decisions and the theory of planned behaviour." Journal of Economic Psychology 14, no. 2 (June 1993): 337–75. http://dx.doi.org/10.1016/0167-4870(93)90006-7.

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Bebetsos, Evangelos, and Doukas Konstantoulas. "Contact Sports, Moral Functioning and Planned Behaviour Theory." Perceptual and Motor Skills 103, no. 1 (August 2006): 131–44. http://dx.doi.org/10.2466/pms.103.1.131-144.

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BEBETSOS, EVANGELOS. "CONTACT SPORTS, MORAL FUNCTIONING AND PLANNED BEHAVIOUR THEORY." Perceptual and Motor Skills 103, no. 5 (2006): 131. http://dx.doi.org/10.2466/pms.103.5.131-144.

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Manstead, Antony S. R., and Dianne Parker. "Evaluating and Extending the Theory of Planned Behaviour." European Review of Social Psychology 6, no. 1 (January 1995): 69–95. http://dx.doi.org/10.1080/14792779443000012.

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Sheeran, Paschal, and Sheina Orbell. "Self-schemas and the theory of planned behaviour." European Journal of Social Psychology 30, no. 4 (2000): 533–50. http://dx.doi.org/10.1002/1099-0992(200007/08)30:4<533::aid-ejsp6>3.0.co;2-f.

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Pakpahan, Yunita Eriyanti, Christnova Hasugian, Eduard Eduard, and Supri Supri. "Intensi Kewirausahaan Mahasiswa: Theory of Planned Behaviour Approach." Journal of Education, Humaniora and Social Sciences (JEHSS) 5, no. 2 (November 7, 2022): 1010–18. http://dx.doi.org/10.34007/jehss.v5i2.1218.

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The COVID-19 pandemic brings new challenges and threats for fresh graduates, namely the reduced number of jobs available for new graduates. Therefore, the solution that is expected to solve this problem is the students must dare to be entrepreneurs by utilizing current technology. The purpose of this research is to analyze and examine the effect of entrepreneurial education, innovation, and relation support on entrepreneurial intention. It is an associative-causal research. The population in this research was students in Universitas Quality Berastagi and Universitas Quality Medan, accounting and management study program consisted of 178 students. The data were collected by using questionnaire. The sampling method used in this research was all population became the sample of the research. The hypotheses were tested by using the linear regression analysis. The result of this research showed that, simultaneously and partial, entrepreneurial education, innovation, and relation support had some effect on entrepreneurial intention.
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Leong, Jong Jee, Helmi Sumilan, Heng Chin Siong, and Florianna Lendai Michael. "Smoking and Its Impacts on Absenteeism and Stress: A Preliminary Study." Journal of Cognitive Sciences and Human Development 2, no. 1 (September 1, 2016): 13–23. http://dx.doi.org/10.33736/jcshd.358.2016.

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The article highlights a preliminary study on smoking and its impact on absenteeism and stress in the work place. The article also includes an application of the Theory of Planned Behaviour in explaining the behavior of smoking. The Theory of Planned Behavior which was proposed by Icek Ajzen is used to predict an individual’s behavioural control and intention which are influenced by attitude and social norms to perform a behaviour. This article also discusses previous researches done on smoking and its relationship with absenteeism and stress among employees in organizations.
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Kusuma, Hadri, and Virsyadini Anafisati. "DONOR'S INTENTION ON THE CROWDFUNDINGAMONG UNIVERSITY STUDENTS: AN EXTENSION OF THE THEORY OF PLANNED BEHAVIOUR." Humanities & Social Sciences Reviews 8, no. 4 (August 30, 2020): 710–19. http://dx.doi.org/10.18510/hssr.2020.8470.

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Purpose of the study: The primary purpose of this study is to examine the antecedents of the intention to donate on the crowdfunding. Methodology: The research design of this study is a quantitative technique. The data is primary data based on the survey to active university students in the City of Yogyakarta. The study examines 185 completed questionnaires and analyzes the relationship among variables by employing structural equation model. Main Findings: Overall, the results support the Theory of Planned Behaviour (TPB). When other variables are is integrated into the TPB, the variables of past behavior and religiosity, but not moral norm, improve the prediction on the intention to donate significantly. Applications of this study: In addition to the extension of the TPB, this study suggests that individuals, owner projects or charitable organizations should include past behavior and religiosity components in understanding donor behaviors. Novelty/Originality of this study: This study expands the Theory of Planned Behaviour by integrating additional factors that are considered to improve the explanatory power of the model.
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ZAINAL, DALILAWATI, Darryn Chiew Kin Yan, and Sayema Sultana. "UNDERSTANDING ORGANIC FOOD PURCHASE BEHAVIOUR: USING THE EXTENDED THEORY OF PLANNED BEHAVIOUR." International Journal of Business Innovation and Research 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijbir.2021.10039944.

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Ling, Goh Mei, David Yoon Kin Tong, and Elsadig Musa Ahmed. "Extended Theory of Planned Behaviour Modelfor Measuring Households’ Recycling Behaviour in Malaysia." Advanced Materials Research 622-623 (December 2012): 1691–95. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1691.

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Malaysia generates 0.8 kg waste per capita per day. Despite the recycling previous programmeslaunched, the national recycling rate was as low as 5%. Households’ involvement is expected to be the key factor to the success of recycling. Therefore, empirical study is needed to examineon the behavioural determinants of households’ recycling behaviour. The paper aims to extend the Theory of Planned Behaviour in predicting the households’ recycling behaviour. The paper will provide useful information and guidelines to the respective authorities in designingstrategies to encourage higher participation from households in the recycling programs.
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GODIN, GASTON, PIERRE VALOIS, LINDA LEPAGE, and RAYMOND DESHARNAIS. "Predictors of smoking behaviour: an application of Ajzen's theory of planned behaviour." Addiction 87, no. 9 (September 1992): 1335–43. http://dx.doi.org/10.1111/j.1360-0443.1992.tb02742.x.

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Holdershaw, Judith, Philip Gendall, and Malcolm Wright. "Predicting blood donation behaviour: further application of the theory of planned behaviour." Journal of Social Marketing 1, no. 2 (July 12, 2011): 120–32. http://dx.doi.org/10.1108/20426761111141878.

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46

Azri, Ali Al, Abdullah Al Maniri, Ibrahim Al Harthy, Lucie Laflamme, and Marie Hasselberg. "141 Understanding speeding behaviour among Omani drivers using theory of planned behaviour." Injury Prevention 22, Suppl 2 (September 2016): A52.2—A52. http://dx.doi.org/10.1136/injuryprev-2016-042156.141.

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47

Vilkaite-Vaitone, Neringa, and Laima Jeseviciute-Ufartiene. "Predicting Textile Recycling through the Lens of the Theory of Planned Behaviour." Sustainability 13, no. 20 (October 19, 2021): 11559. http://dx.doi.org/10.3390/su132011559.

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Management of textile waste is a growing challenge for many countries. In order to tackle this issue, countries are turning to recycle, which is treated as an efficient way to manage textile waste. This empirical research is the first study on the scale of Lithuanian households aimed to ascertain the predictors of textile recycling behaviour. The study involved a sampling research method in order to understand factors affecting textile recycling behaviours and attitudes of residents in Lithuania. Data from a sample of 391 households were analysed using structural equation modelling. The research indicated key factors stimulating textile recycling behaviour based on standard and extended versions of the theory of planned behaviour. Results have shown the usefulness of applying the traditional model of planned behaviour instead of the extended one in predicting intention to recycle textile waste. The outcome of this research contributes to the formulation of recommendations regarding the promotion of sustainable textile waste management.
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Jin, Lisheng, Baicang Guo, Yuying Jiang, and Qiang Hua. "Analysis on the Influencing Factors of Driving Behaviours Based on Theory of Planned Behaviour." Advances in Civil Engineering 2021 (January 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/6687674.

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Driving behaviour is a complex and multidisciplinary research domain, and bad driving behaviours that threaten the safety of road users should be refrained. In order to better educate, manage, and restrain driver’s behaviours, from the perspective of human factors and psychology, the present study deconstructed driving behaviours based on theory of planned behaviour (TPB) into five categories: mistakes (Mis), lapses and slips (LaS), violations (Vio), driving experience (Exp), and safety attitude and awareness (SAA). According to today’s practical traffic rules and conditions in China, a driving behaviour questionnaire was built as an analysing tool and the survey data were collected in accordance with the demographic of Chinese drivers. Furthermore, a driving behaviour analysis model contains the aforementioned categories was established by using the structural equation model (SEM). Through the path analysis results among latent variables and manifested variables, it was found that Exp has an impact on Vio and LaS, and better SAA can inhibit Vio and Mis. In conclusion, the prime aim of improving road traffic safety is to reduce Vio by means of educating and improving the drivers’ Exp and SAA. Moreover, drivers’ LaS and Mis are transition processes which should be corrected timely and prevented from continuing to evolve into Vio.
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Conner, Mark, Siobhan Hugh-Jones, and Christina Berg. "Using the two-factor Theory of Planned Behaviour to predict adolescent breakfast choices." Educational and Child Psychology 28, no. 4 (2011): 37–50. http://dx.doi.org/10.53841/bpsecp.2011.28.4.37.

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Purpose:The study used the two-factor Theory of Planned Behaviour (TPB) to predict healthy breakfast choices in a sample of adolescents and the extent to which gender, social class and age (school grade) moderated the relationships.Methods:A total of 1735 11- to 15-year-olds recruited from schools in Gothenburg, Sweden, completed TPB questionnaires on choices of high-fibre bread and low fat milk for breakfast. The TPB questionnaires tapped intentions, affective and instrumental attitudes, injunctive and descriptive norms and perceived control and confidence. Two weeks later the adolescents completed a seven-day food diary about food consumed at breakfast.Results:Intentions to consume high-fibre bread and low fat milk were predicted by affective and instrumental attitudes, injunctive and descriptive norms, and perceived confidence. In addition, affective attitudes for bread and descriptive norms for milk were stronger predictors of intentions in the older groups. Consumption of high-fibre bread and low fat milk was predicted by intentions, perceived confidence, and the interaction between age and intentions. Decomposition of the interaction between age and intentions for the two breakfast choices indicated that intentions were significantly stronger predictors of behaviour for the older children.Conclusions:The two-factor TPB provides a reasonable basis for predicting intentions and behaviour in relation to healthy breakfast choices in adolescents and basing interventions to change such behaviours. The importance of personal and parental factors was demonstrated by the fact that attitudes (instrumental attitudes for milk and affective attitudes for bread) and descriptive norms were the strongest predictors of intentions for the two behaviours. In turn intentions were the most powerful determinants of both behaviours. Importantly intentions were significantly stronger determinants of both behaviours in older compared with younger adolescents. This probably reflects both developmental factors and the growing autonomy over healthy behaviour choices that adolescents experience as they grow older. Implications for using the two-factor TPB in relation to health behaviours in children and adolescents are discussed.
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Ramadhina, Rakhma, Angga Prawira Kautsar, N. A. Sriwidodo, Rizky Abdulah, and Sunu Widianto. "Pro-environmental behaviour of healthcare professionals: a study applying theory of planned behaviour." International Journal of Business and Globalisation 28, no. 3 (2021): 219. http://dx.doi.org/10.1504/ijbg.2021.10038231.

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