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The theory of planned behavior

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Abstract

This chapter describes the theory of planned behavior (TPB), a prominent reasoned action model, its conceptual foundation, its intellectual history, and the research it has generated. From its roots in propositional control and expectancy theory, the TPB emerged as a major framework for understanding, predicting, and changing human social behavior. According to the theory, intention is the immediate antecedent of behavior and is itself a function of attitude toward the behavior, subjective norm, and perceived behavioral control; and these determinants follow, respectively, from beliefs about the behavior’s likely consequences, about normative expectations of important others, and about the presence of factors that control behavioral performance. Empirical support for the theory comes from a host of correlational studies demonstrating its ability to predict intentions and behavior as well as from interventions showing that changes in behavioral, normative, and control beliefs can produce changes in intentions, and that these changes in intentions are reflected in subsequent behavior. The chapter also considers the TPB’s reasoned action approach in the context of recent work on automatic, nonconscious processes in human social behavior. It is argued that insight into automaticity can complement the understanding of behavior provided by a reasoned action approach.
From:
P. A. M. Lange, A. W. Kruglanski & E. T. Higgins (2012) (Eds.),
Handbook of theories of social psychology (Vol. 1, pp. 438-459).
London, UK: Sage.
... This study is based on theory of planned behavior (Ajzen, 2012), which describes a conceptual framework for behavior. This theory explains that intention is determined by three factors: (1) Behavior belief, explained that the evaluation of behavior is based on belief (2) Normative beliefs, explained that belief factors arise based on the expectations of family and friends, (3) Control beliefs, namely beliefs that support or inhibit the behavior to be performed. ...
... Behavioral belief is the belief or view that being an entrepreneur is a positive or negative profession; a normative belief is that behavior is affected by expectations and hopes of family, friends, or people surrounding; and a control belief is the belief of self-ability which support or inhibit behavior. This is as stated in the theory of planned behavior (Ajzen, 2012). Hypotheses development game-based learning is a method that can create a learning environment that motivates, is enjoyable, and boosts creativity (Joella et al., 2020). ...
... The theory of planned behavior stated that intentions are influenced by normative beliefs that come from the expectations of family and friends (Ajzen, 2012). Wijayanti and Suryani (2016) stated that the environment could develop entrepreneurial minds and abilities. ...
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Game-based learning used in various learning areas, including business learning. MonsoonSIM is a game simulator employed in a business learning process. This study study aims to investigate the influence of game-based learning using MonsoonSIM on business literacy and its effect on entrepreneurial intention. The population in this study are the students in the Special Region of Yogyakarta. Convenience sampling was used to select the research sample with the criteria of having experience of running MonsoonSIM. This study was conducted in 2022 based on a questionnaire to 121 students. In the analysis, Partial Least Square (PLS) was used with the results of game-based learning having a positive influence on business literacy, and entrepreneurial motivation having a positive influence on entrepreneurial intention. However, this study has not succeeded in proving the influence of environmental factors and business literacy on entrepreneurial intention. The study findings are expected to be a recommendation for higher education to apply game as a model alternative of business learning for a digital generation as it has been proven to promote business literacy.
... The Theory of Planned Behavior (TPB) was developed to help explain and predict human behaviors [11]. According to Ajzen [12], human behaviors are directed by three main beliefs-behavioral beliefs (the likely outcomes of the behavior), normative beliefs (the expectations of important others), and control beliefs (the factors that may affect behavior execution). ...
... The TPB posits that attitude (the personal valuation of the behavior), subjective norm (the social pressure we perceive from important others), and perceived behavioral control (our perception of how easy or hard it is to perform the behavior) predict intentions to perform a behavior [11]. Each of the three TPB constructs are defined by two components: 1) the instrumental (the usefulness of the behavior) and experiential (the feeling toward the behavior) for attitude; 2) the injunctive (what we believe important others think we should do) and descriptive (our beliefs of what important others do) for subjective norm; and 3) the capacity (whether we believe we can perform the behavior) and autonomy (how much control we have over the behavior) for perceived behavioral control [13]. ...
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Background Women bodybuilders build their ideal physique by manipulating their diet, supplement, and exercise regimens to extreme levels. Excess protein intake and dietary supplement use is ubiquitous in women bodybuilders preparing for a competition, i.e., in-season competitors, however the impetus for these two dietary behaviors are relatively unknown. The Theory of Planned Behavior (TPB) has been used to explain dietary behaviors. The purpose of the study was to examine how the TPB can explain protein intake and dietary supplement use in in-season competitors. Methods Using a cross-sectional design, an online questionnaire was developed, validated, and administered to collect dietary supplement use, TPB variables, and other measures from 112 in-season competitors. Protein intake was assessed using multiple 24-h dietary recalls. Associations between TPB and protein intake and dietary supplement use were determined with multiple regression analysis while adjusting for confounders. Results For protein intake: attitude, subjective norm, and perceived behavioral control explained 8% of the variance in intention; subjective norm independently predicted intention. Behavioral beliefs predicted attitude; subjective norm was predicted by trainer/coach, workout partners, and social media influencers. For dietary supplement use: intention explained 5% of the variance in dietary supplement use; attitude, subjective norm, and perceived behavioral control together explained 38% of the variance in intention. Attitudes towards dietary supplements use were predicted by five factors (not a waste of money, help improve physique, sustain energy levels, provide enough calories, help with recovery). Primary determinants of subjective norm were fellow competitors, social media influencers, and trainer/coach. Perceived behavioral control was predicted by three factors (ease of purchase, affordability to purchase, availability to purchase). Conclusions TPB predicted dietary supplement use in women bodybuilders during in-season but there was little evidence for the prediction of protein intake using the TPB. Health professionals should develop effective interventions using strategies that align health education messages with in-season competitors’ outcome beliefs and collaborate with their referent others to influence safer and effective dietary supplement use.
... Consequently, individuals develop a stronger belief in their ability to engage in taking charge behavior, thereby promoting proactive behavior towards constructive change. Furthermore, according to TPB, when employees perceive a stronger sense of control over behavior, their intention to implement the behavior becomes stronger (Ajzen, 1991(Ajzen, , 2012Xu et al., 2021). Therefore, this study combines TPB with the proactive motivation model to explore the moderating role of CSE in the mechanism of FRCC, taking charge and innovation performance. ...
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Combining Gen Z and millennial employee groups, the current study aims to explore the mechanism of felt responsibility for constructive change, taking charge and innovation performance based on the theory of planned behavior and proactive motivation model, and analyzes the moderating effect of creative self-efficacy in it. The results reveal a positive association between felt responsibility for constructive change and taking charge, as well as between taking charge and innovation performance, with taking charge acting as a complete mediator. Moreover, the level of creative self-efficacy influences the relationship between felt responsibility for constructive change, taking charge, and innovation performance. Specifically, employees with high levels of creative self-efficacy demonstrate an accelerated transition from felt responsibility for constructive change to taking charge, thus enhancing innovation performance. Conversely, employees with low levels of creative self-efficacy experience a hindered transformation process from felt responsibility for constructive change to taking charge. These findings contribute to our understanding of the role of responsibility awareness in fostering innovation performance, and provide theoretical and practical enlightenment for managers to effectively cultivate employees’ consciousness of responsibility for constructive change, promote active engagement in taking charge and improve innovation performance.
... Referring to the Theory of Planned Behavior developed by Ajzen [4], demographic factors and financial literacy acts as Perceived Behavioral Controls which serve to give a sense of self-efficacy that will help someone make an investment decision better. But a problem arises as OJK have aroused concern on how low the financial literacy rate of Indonesians still is. ...
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In society after COVID-19 Pandemic, awareness on financial well-being is on the rise and many attempts to achieve it through investment. But, to invest means to make decision among numerous alternatives and risks. This research aims to find out how investment actors’ demographic factors, financial literacy, and behavioral bias affect the investment decisions they make, where it highlights upon a point still rarely disclosed: whether financial literacy and behavioral bias are able to mediate the relationship between demographic factors and investment decision. The result for SEM-PLS analysis of 151 young investment actors below the age of 25 and adult investment actors of 25 years old and above shows that behavioral bias can act as a mediator while financial literacy cannot; demographic factors that is addition of family members, financial management behavior of financial literacy, and behavioral bias in the form of overconfidence all have a positive and significant effect as well. These findings give the implication that responsibilities towards one’s family, as well as financial behavior and self-confidence, play a noticeable role on investment decision.
... Referring to the Theory of Planned Behavior developed by Ajzen [4], demographic factors and financial literacy acts as Perceived Behavioral Controls which serve to give a sense of self-efficacy that will help someone make an investment decision better. But a problem arises as OJK have aroused concern on how low the financial literacy rate of Indonesians still is. ...
Article
Full-text available
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... TPB was used to describe the impacts that an IBL PD has on science and agriscience teachers' intent to integrate IBL animal science concepts. Ajzen's (2012) TPB model shown in Figure 1 emphasizes that a person's behavioral intent is influenced by their attitude, subjective norms, and perceived behavioral control (Ajzen, 1991). Attitude is defined as how one feels toward a behavior and whether their perception of a behavior is advantageous (Ajzen, 1991). ...
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In the United States, there is an increasing need for high school students to enhance their science proficiency. Inquiry-based learning (IBL) can serve as a teaching strategy to increase students’ science proficiency levels, but it is critical that teachers are equipped with the knowledge needed to teach IBL. In this study, we aimed to describe the impact that a professional development (PD) about integrating IBL into curricula has on science and agriscience teachers’ intent to use IBL. The theory of planned behavior, as well as confidence, guided this evaluation. A paper survey was distributed to the PD participants after the in-person part of a prolonged PD. Survey questions were related to respondents’ confidence, attitude, perceived behavioral control, subjective norms, and intent in using the IBL animal science concepts. Findings from this study indicate that teachers developed an increased confidence, possessed positive attitudes, were influenced by subjective norms, and felt that barriers could be controlled. However, attitude was the only significant predictor of intent to integrate the IBL animal science concepts. We recommend pursuing a follow-up with the teachers after implementation of the IBL lessons to gain a better understanding of the practicality of IBL in the classroom.
Chapter
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