Analysis of RunningCrew members behavioral intention toward Fine Dust problems : An Application of Ajzen"s Theory of Planned Behavior(TPB)

2021 ◽  
Vol 30 (3) ◽  
pp. 63-76
Author(s):  
Sun-Ki Kim ◽  
Tae-Sung Lim ◽  
Ho-Youl Lee ◽  
Ju-Yong Kim
2017 ◽  
Vol 57 (6) ◽  
pp. 711-721
Author(s):  
Cherry Choy ◽  
Inyang A. Isong

Childhood obesity and caries are linked to sugar-sweetened beverage (SSB) and excessive juice consumption. We assessed psychosocial factors influencing children’s beverage consumption and strategies to promote healthier choices. Using a quantitative and qualitative approach guided by the theory of planned behavior, we surveyed and interviewed 37 parents of preschool-aged children on barriers and facilitators of children’s beverage consumption. Most children (83.8%) consumed SSBs, 67.6% drank >4 to 6 oz of juice per day. Parent’s self-efficacy was the strongest correlate of parent’s behavioral intention to limit SSB (0.72, standard error 0.08, P = .03). Parents’ motivations to limit their child’s SSB intake extended beyond simply preventing caries and obesity; they also considered the implications of these conditions on children’s self-image, future health, and quality of life. Yet, the influence of multidimensional barriers made it difficult to reduce children’s SSB consumption. Interventions that address parental attitudes, values, and self-efficacy to address external factors could help reduce children’s SSB consumption.


2018 ◽  
Vol 14 (2) ◽  
pp. 113-125
Author(s):  
Mariatul Ulfa Mansyur ◽  
Bambang Hariadi ◽  
Wuryan Andayani

Abstract: A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java. The objective of this study is to examine factors that influence the behavioral intention of consumers in using and adopting m-commerce. This study combines Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Innovation Diffusion Theory (IDT). The data of this study were collected through a survey and samples were selected by using convenience sampling technique with SEM-PLS requirement as many as ten times the number of paths. The data were analyzed using Partial Least Square (PLS). The results of this study show that perceived usefulness, perceived ease of use, social influence, and personal innovativeness affecs behavioral intention. Furthermore, behavioral intention affects actual user, i.e. consumers, to use and adopt m-commerce information technology. This study implies that vendors of m-commerce information technology and management should pay more attention to and reconsider perceived usefulness, perceived ease of use, social influence, personal innovativeness, behavioral intention, and consumers as actual users, when they make decision regarding adoption and appliance of m-commerce.Keywords: m-commerce information technology adoption, consumer behavior, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion TheoryAbstrak: Studi Keperilakuan Konsumen Kelas Menengah dalam Pengadopsian M-Commerce di Jawa Timur. Studi ini bertujuan untuk menguji faktor-faktor yang memengaruhi minat perilaku konsumen dalam menggunakan maupun mengadopsi m-commerce. Studi ini merupakan penggabungan model Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), dan Innovation Diffusion Theory (IDT). Studi ini menggunakan metode survey, sampel dipilih dengan menggunakan teknik convenience sampling, dan teknik analisis yang digunakan adalah SEM-PLS. Studi ini menemukan bahwa konstruk persepsi kegunaan, persepsi kemudahan penggunaan, pengaruh sosial dan keinovatifan pribadi berpengaruh terhadap minat perilaku. Selanjutnya, studi ini juga menemukan bahwa minat perilaku berpengaruh terhadap pengguna yang sesungguhnya, yaitu konsumen, terkait dengan penggunaan maupun adopsi m-commerce. Implikasi studi ini adalah vendor layanan teknologi informasi m-commerce dan manajemen harus memperhatikan dan mempertimbangkan lagi persepsi kegunaan, persepsi kemudahan, pengaruh sosial, keinovatifan pribadi, minat perilaku dan konsumen sebagai pengguna sesungguhnya dalam mengambil keputusan terkait dengan pengenalan dan adopsi m-commerce.Kata kunci: Adopsi Teknologi Informasi M-commerce, Perilaku Konsumen, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion Theory


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujood - ◽  
Sheeba Hamid ◽  
Naseem Bano

Purpose This paper aims to examine travelers` behavioral intention of traveling in the period of coronavirus by employing the theory of planned behavior. The framework incorporates attitude, subjective norms, perceived behavioral control and a very crucial construct, i.e. perceived risk, as per the current critical scenario of COVID-19. Design/methodology/approach Data was collected using a survey instrument on the internet by posting the questionnaire link over social network web pages of online traveling websites. The data was analyzed using structural equations modeling with AMOS 22.0 and SPSS software, and the proposed hypotheses were statistically tested. The sample under consideration constitutes 417 responses. Findings Empirical findings suggest that attitude, perceived behavioral control and perceived risk are significant for predicting behavioral intention while subjective norms do not. And these variables explained about 35 percent of the variance in behavioral intention of traveling in the period of coronavirus. Research limitations/implications This study can benefit travelers, tourism and hospitality industry, governments, aviation industry and other relevant organizations as this paper offers the latest updates and essential information regarding traveler`s intention of traveling in the period of coronavirus. The study mainly focuses on India, so the generalizations of results to other countries are unwanted. Originality/value The primary value of this paper is that it tested the theory of planned behavior by incorporating perceived risk in the context of COVID-19. To the best of authors’ knowledge, in Indian context, there is no study which has tested the TPB by adding perceived risk in explaining the Indian citizens’ behavioral intention of traveling in the period of Coronavirus.


Author(s):  
Xiaodong Yang ◽  
Liang Chen ◽  
Lai Wei ◽  
Qi Su

This study extends the theory of planned behavior by taking communication factors into account to examine the determinants of pro-environmental behavioral intention in haze mitigation. Unlike other theory of planned behavior (TPB) extension studies, we shift the focus of inquiry from examining the mediating role of TPB variables to investigating the moderating role in promoting pro-environmental behavior. Using an online survey in China, the results indicated that attitude, subjective norms, perceived behavioral control, and attention to haze-related efficacy messages were positively associated with pro-environmental behavioral intention. Notably, attention to haze-related threat messages had no significant relationship with behavioral intention. Moreover, moderation analyses revealed that the interaction effects between attention to efficacy messages and attention to threat messages on behavioral intention vary among people with different attitude, subjective norms, and perceived behavioral control. Theoretically, this study contributes to the literature of the TPB by analyzing its moderating role in promoting behavior change. Findings from this study suggest the importance of disseminating distinctive media messages to audiences with different personality traits, which is beneficial for practitioners to tailor specific messages in environmental campaigns.


2010 ◽  
Vol 36 (3) ◽  
pp. 390-417 ◽  
Author(s):  
Cathy H. C. Hsu ◽  
Songshan (Sam) Huang

The sufficiency of theory of planned behavior (TPB) is still being questioned although the model was validated in predicting a wide range of intentions and behaviors. Based on a comprehensive literature review, an extended TPB model of tourists was proposed to investigate relations among constructs of the model with the addition of motivation and actual behavior. An instrument was developed based on previous tourism and marketing studies as well as focus groups. A two-wave data collection was implemented, with data collected from 1,524 Beijing, Shanghai, and Guangzhou residents in Stage 1 and 311 respondents from the same cohort in Stage 2. Results of the study demonstrated that the extended TPB model with tourist motivation fit the data relatively well, explaining 5% more of the variation in behavioral intention in comparison with a base model without motivation. However, the model with both tourist motivation and actual behavior was not tenable, despite a marginal relationship found between behavioral intention and actual tourist behavior using regression analysis. The findings warrant further research examining the predictive power of behavioral intention on actual behavior.


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