Using the Decomposed Theory of Planned Behavior (DTPB) to Explain the Intention to Book Tourism Products Online

2014 ◽  
Vol 4 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Alia Besbes Sahli ◽  
Patrick Legohérel

The purpose of this article is to investigate the factors influencing the intention to use the Internet to book tourism products online in Tunisian context. To this end, the authors selected the Decomposed Theory of Planned Behavior (DTPB) to help account for the intention to book online. The authors conduct an online survey. Data was obtained from 158 questionnaires and analyzed through regression. The study demonstrated the importance of causal relationships between predictor variables and the dependent variable, namely the intention to book online. A novel result, perceived usefulness does not admit a positive impact on the attitude towards online booking. Thus, the study has confirmed the explanatory power of the DTPB model in accounting for consumers' behavioral intention in the context of e-tourism.

Author(s):  
Alia Besbes Sahli ◽  
Patrick Legohérel

The purpose of this article is to investigate the factors influencing the intention to use the Internet to book tourism products online in Tunisian context. To this end, the authors selected the Decomposed Theory of Planned Behavior (DTPB) to help account for the intention to book online. The authors conduct an online survey. Data was obtained from 158 questionnaires and analyzed through regression. The study demonstrated the importance of causal relationships between predictor variables and the dependent variable, namely the intention to book online. A novel result, perceived usefulness does not admit a positive impact on the attitude towards online booking. Thus, the study has confirmed the explanatory power of the DTPB model in accounting for consumers' behavioral intention in the context of e-tourism.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chih-Wei Lin ◽  
Yi-Xuan Tsai ◽  
Yu-Shan Chang ◽  
Yun-Jhih Ding ◽  
Jou-Chun Liu ◽  
...  

This research is aimed at exploring the influencing factors of users’ behavioral intention toward the Nike Training Club (NTC) app, using the decomposed theory of planned behavior as the main research framework. In this study, users of the NTC app were the research objects. A total of 300 questionnaires were distributed on the Internet by the purposive sampling method. After excluding invalid questionnaires, a total of 280 copies were obtained. The effective questionnaire recovery rate was 93.33%. All data were verified by descriptive statistics and multiple regression analysis. The results of this study were as follows. First, the NTC app users were mostly female, aged between 19 and 25 years, were students, had a monthly income below 20,000, and exercised one to two times a week. Second, the application of the decomposed theory of planned behavior found the following: perceived usefulness and perceived ease of use had positive effects on attitude; interpersonal influence and electronic word of mouth had a positive influence on subjective norms; self-efficacy and technology facilitation had positive effects on perceptual behavior control; and attitude, subjective norms, and perceptual behavior control all had a positive impact on behavioral intention. The NTC app users thought that the program interface was easy to use and that the app could help them effectively achieve the effect of exercise and fitness, which increased the benefits of continuously using the program.


2021 ◽  
Vol 13 (16) ◽  
pp. 9228
Author(s):  
Chyi-Rong Chiou ◽  
Wei-Hsun Chan ◽  
Jiunn-Cheng Lin ◽  
Meng-Shan Wu

Urban trees could provide a variety of ecosystem services. However, they require conservation to sustain a healthy and consistent provision of services. This study applies an extended theory of planned behavior (ETPB) to understand residents’ pay intention for conserving urban trees. In order to explore the impact of the public perception of urban trees, two constructs such as perceived usefulness and perceived tree benefits have been added to the TPB model. This study conducted a questionnaire survey on Taipei city residents and received 364 valid responses. The partial least squares structural equation modeling (PLS-SEM) was used for the analysis of the model. The results show that residents’ perceived usefulness and perceived tree benefits of urban trees have a significantly positive impact on public attitude toward protecting urban trees. Individuals’ intention to pay towards conservation of urban trees is, on the other hand, affected by subjective norm, attitude, perceived behavioral control, and perceived usefulness. Thus, with education and promotion of tree usefulness and benefits of ecosystem services, it is helpful to improve residents’ attitudes regarding the protection of urban trees and increase their intention to pay for urban tree conservation.


Author(s):  
Viveka Ramoo ◽  
T. Ramayah ◽  
May-Chiun Lo ◽  
Teoh Ai Ping

Governments are seeking to benefit from information technology by incorporating various government services online for the benefits of the citizen. The Malaysian government as part of its Multimedia Super Corridor (MSC) project introduced e-filing in 2006, which is the process of filing taxes using the Internet as one of the e-government services. This is an exploratory study to model the determinants of intention to use an Internet tax filing system. The authors used 4 variables as predictors or intention to use which were perceived usefulness, perceived ease of use, perceived risk, and facilitating condition. Data was collected from 100 respondents using non probability purposive sampling via a structured questionnaire. As hypothesized, perceived ease of use, perceived usefulness, and facilitating condition were positively related to intention to use. The findings show that perceived usefulness has the strongest influence on intention to use (ß = 0.341), followed by perceived ease of use (ß = 0.278) and facilitating condition (ß = 0.234). As hypothesized, perceived risk was negatively related (ß =-0.223) to intention to use indicating that users are concerned by the risk involved in filing taxes online. The regression results show that the four variables can explain 52.2% of the variation in intention to use which indicates good explanatory power. Understanding these factors can extend the knowledge, which can lead to better planning and implementation of e-Filing in Malaysia.


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.


Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1593
Author(s):  
Patricio Ramírez-Correa ◽  
Catalina Ramírez-Rivas ◽  
Jorge Alfaro-Pérez ◽  
Ari Melo-Mariano

The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.


2017 ◽  
Vol 17 (3) ◽  
pp. 229-248
Author(s):  
Andrés A. Collazo

A model derived from the theory of planned behavior was empirically assessed for understanding faculty intention to use student ratings for teaching improvement. A sample of 175 professors participated in the study. The model was statistically significant and had a very large explanatory power. Instrumental attitude, affective attitude, perceived capability, and perceived controllability were statistically significant contributors in explaining directly variability in faculty intention. Past use of student ratings–intention relationship was mostly indirect.


2016 ◽  
Vol 47 ◽  
pp. 03008 ◽  
Author(s):  
Kamarudin Ambak ◽  
Kanesh Kumar Kasvar ◽  
Basil David Daniel ◽  
Joewono Prasetijo ◽  
Ahmad Raqib Abd Ghani

2021 ◽  
pp. 43-52
Author(s):  
Nur Adillawati Kosim Saputri ◽  
Ade Gafar Abdullah ◽  
Dadang Lukman Hakim

The effective development of a Mobile-Based Assessment (MBA) depends on students’ acceptance. The aim of this paper was to examine the determinant factor of students’ behavioral intention to use mobile-based assessment. Data were collected from 105 second grade students of a vocational high school through an online survey questionnaire. Partial Least Squares (PLS) was used to test the measurement and the structural model. Results showed Perceived Ease of Use as the strongest direct predictor of Behavioral Intention to Use, followed by Perceived Usefulness. Content and Mobile Self-Efficacy only has an indirect effect. These four variables explain 51.3 percent of the variance of Behavioral Intention to Use.


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