scholarly journals Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Tianpei Tang ◽  
Hua Wang ◽  
Xizhao Zhou ◽  
Hao Gong
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Psychological Factors ◽  
Red Light ◽  
Equation Modeling ◽  
Predictive Utility ◽  
Red Light Running ◽  
Prototype Willingness Model ◽  
Behavior Change Interventions ◽  
Tpb Model

To date, electric bikers’ (e-bikers’) red-light running (RLR) behavior is often viewed as one of the main contributors to e-bike-related accidents, especially for traffic scenarios with high e-bike ridership. In this paper, we aim to understand e-bikers’ RLR behavior based on structural equation modeling. Specifically, the predictive utility of the theory of planned behavior (TPB), prototype willingness model (PWM), and their combined form, TPB-PWM model, is used to analyze e-bikers’ RLR behavior, and a comparison analysis is made. The analyses of the three modeling approaches are based on the survey data collected from two online questionnaires, where more than 1,035 participant-completed questionnaires are received. The main findings in this paper are as follows: (i) Both PWM and TPB-PWM models could work better in characterizing e-bikers’ RLR behavior than the TPB model. The former two models explain more than 80% (81.3% and 81.4%, respectively) of the variance in e-bikers’ RLR behavior, which is remarkably higher than that of the TPB model (only 74.3%). (ii) It is also revealed that RLR willingness contributes more on influencing the RLR behavior than RLR intention, which implies that such behavior is dominated by social reactive decision-making rather than the reasoned one. (iii) Among the examined psychological factors, attitude, perceived behavioral control, past behavior, prototype perceptions (favorability and similarity), RLR intention, and RLR willingness were the crucial predictors of e-bikers’ RLR behavior. Our findings also support designing of more effective behavior-change interventions to better target e-bikers’ RLR behavior by considering the influence of the identified psychological factors.

scholarly journals Why Do College Students Cheat? A Structural Equation Modeling Validation of the Theory of Planned Behavior

2017 ◽  
Vol 10 (8) ◽  
pp. 40 ◽  
Author(s):  
Saeed Abdullah AL-Dossary
Keyword(s):  
High School ◽  
Structural Equation Modeling ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Equation Modeling ◽  
Cheating Behavior ◽  
Tpb Model ◽  
Explained Variance

Cheating on tests is a serious problem in education. The purpose of this study was to test the efficacy of a modified form of the theory of planned behavior (TPB) to predict cheating behavior among a sample of Saudi university students. This study also sought to test the influence of cheating in high school on cheating in college within the framework of the TPB. Analyses were conducted on a sample of 322 undergraduate students using structural equation modeling. The results were consistent with the TPB model’s predictions. The TPB model explained a modest variance in cheating in college. When cheating in high school added to the model, the proportion of explained variance increased and cheating in high school was the best predictor of cheating in college. Although not hypothesized by the TPB, subjective norm had a direct effect on attitude.

Investigating consumers' behavioral intentions toward suboptimal produce: an extended theory of planned behavior – a cross-cultural study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed M. Adel ◽  
Xin Dai ◽  
Rana S. Roshdy
Keyword(s):  
Risk Perception ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Intentions ◽  
Environmental Concern ◽  
Cross Cultural ◽  
Equation Modeling ◽  
Content Type ◽  
Health Consciousness ◽  
Tpb Model

PurposeThis study extends the theory of planned behavior (TPB) through the inclusion of motivating variables for suboptimal produce preference (i.e. environmental concern, food waste awareness, and familiarity), and demotivating variables (i.e. health consciousness and risk perception) to investigate behavioral intentions toward suboptimal produce.Design/methodology/approachA quantitative research methodology using the online survey technique is employed to collect cross-cultural data from respondents from China (n = 430) and Egypt (n = 441). Structural equation modeling (SEM) via SmartPLS v.3.2.9 is used to analyze data.FindingsThe proposed extended TPB model could enhance predicting consumers' behavioral intentions toward suboptimal produce except for “environmental concern” since it has been found that environmental concern has a nonsignificant effect on consumers' attitudes and behavioral intentions toward suboptimal produce in both countries. The results also reveal that the proposed extended TPB constructs could predict 79.9% of intentions to purchase suboptimal produce and 65.3% of the variance in intentions to recommend such produce for others.Originality/valueThis study is one of the few attempts that investigates the suboptimal food consumption based on a theoretical lens by extending the TPB model. Previous studies on suboptimal food do not pay attention to the demotivating variables such as health consciousness and risk perception, and thus, this thesis represents the first effort that sheds light on such variables. Moreover, prior investigation on such issues in Egypt and China as a cross-cultural research has not existed.

Theory of Planned Behavior and Delivery Riders’ Red-light Running Behavior--Model

2020 ◽  
Author(s):  
Xiaoyan Shen ◽  
Fan Zhang ◽  
Huitao Lv ◽  
Shanshan Wei ◽  
Zhicheng Sun
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Red Light ◽  
Behavior Model ◽  
Red Light Running

scholarly journals Determinants of intention to improve oral hygiene behavior among students based on the theory of planned behavior: A structural equation modelling analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247069
Author(s):  
Kegnie Shitu ◽  
Mekuriaw Alemayehu ◽  
Yvonne A. B. Buunk-Werkhoven ◽  
Simegnew Handebo
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Oral Hygiene ◽  
Structural Equation ◽  
Statistical Significance ◽  
Equation Modeling ◽  
P Value ◽  
Hygiene Behavior ◽  
Tpb Model ◽  
Oral Hygiene Behavior

Introduction The prevalence of oral hygiene behaviors (OHB) is very low among school children in Ethiopia. However, the determinants of student’s readiness/intention to perform those behaviors have been remained unstudied. Objective This study aimed to identify the determinants of oral hygiene behavioral intention (OHBI) among preparatory school students based on the theory of planned behavior (TPB). Methods and materials An institution-based cross-sectional study was conducted among 393 students. A 98-item self-administered questionnaire was used to evaluate oral hygiene knowledge (OHK), oral hygiene behavior (OHB), and OHBI based on TPB variables [attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC)]. Descriptive statistics and structural equation modeling analysis (SEM) were employed to confirm relationships and associations among study variables. A p-value of less than 0.05 and a 95% confidence interval were used to declare statistical significance. Results A total of 393 students were participated with a response rate of 97.5%. The mean age of the participants (54% females) was 18 (± 1.3) with an age range of 16 to 24. The TPB model was well fitted to the data and explained 66% of the variance in intention. ATT (β = 0.38; 95% CI, (0.21, 0.64)), SN (β = 0.33; 95% CI, (0.05, 0.83)) and PBC (β = 0.29; 95% CI, (0.13, 0.64)) were significant predictors of OHBI, where ATT was the strongest predictor of OHBI. Conclusion The TPB model explained a large variance in the intention of students to improve their OHB. All TPB variables were significantly and positively linked to stronger intent, as the theory suggests. Furthermore, these results suggest that the model could provide a framework for oral hygiene promotion interventions in the study area. Indeed, these interventions should focus on changing the attitudes of students towards OHB, creation of positive social pressure, and enabling students to control over OHB barriers.

scholarly journals Social-Psychological Factors in Food Consumption of Rural Residents: The Role of Perceived Need and Habit within the Theory of Planned Behavior

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1203
Author(s):  
Jiaqi Huang ◽  
Gerrit Antonides ◽  
Fengying Nie
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Food Consumption ◽  
Psychological Factors ◽  
Equation Modeling ◽  
Social Psychological ◽  
Rural Residents ◽  
Perceived Need ◽  
Food Items

To address the problem of malnutrition in poor rural areas of China, this study aims to examine the effects of social-psychological factors in food consumption of rural residents in poor counties of Southwest China. In addition, it investigates the role of perceived need and habit within the theory of planned behavior (TPB) in predicting food consumption. A survey with random sampling was conducted on rural residents (n = 424), and the theoretical frameworks of both the standard and extended TPB were applied for comparison purposes. Structural equation modeling was applied to test the relationships among constructs. Consumption of five food items was studied, respectively: meat, eggs, dairy, fish, and fruits. Results showed that incorporation of perceived need and habit substantially increased the explanatory power of the TPB, but these factors only had significant direct effects on intention rather than behavior. Perceived need and habit are stronger predictors of intention than any other TPB construct for consumption of all food items except for meat. We found indirect effects of the constructs in the extended TPB model on consumption to be different across food items. Practical implications to improve consumption of different food items were proposed accordingly.

Analysis of Psychological Influences on Navigation Use While Driving Based on Extended Theory of Planned Behavior

2019 ◽  
Vol 2673 (9) ◽  
pp. 480-490 ◽  
Author(s):  
Xianglin Yao ◽  
Yiping Wu ◽  
Hao Liu ◽  
Xiaohua Zhao ◽  
Yang Bian ◽  
...  
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Psychological Factors ◽  
Structural Equation ◽  
Information Quality ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Navigation Systems ◽  
Extended Theory ◽  
Gps Navigation

As GPS navigation systems become more powerful, they offer the convenience of more efficient travel, and the use of such navigational aids while driving is now prevalent. Numerous issues still exist during actual use, however, such as incomprehensibility and inaccuracy of voice navigation prompts. The majority of studies have focused on humanized design and the influence on driving behavior of GPS navigation systems, while the psychological factors underlying drivers’ decisions to use them have received little attention. This study employs the extended theory of planned behavior (TPB) to investigate the psychological factors that influence drivers’ use of GPS navigation systems, including the additional variables of navigation involvement, navigation information quality, and distraction perception. Independent t-tests revealed that female, non-professional, novice, and highly educated drivers were more likely to use navigation systems. Factors analysis proved the extended TPB questionnaire to be valid and reliable. Structural equation modeling showed that attitude (0.19), subjective norms (0.14), perceived behavioral control (0.29), navigation involvement (0.36), and information quality (0.16) significantly influenced drivers’ intentions on the use of navigation. However, distraction perception (–0.05) had no significant influence. These findings demonstrate the need for navigation systems which serve drivers better. For navigation system manufacturers, the humanized design should be strengthened. For highway transportation agencies, more consistent designs for road signs are needed to improve the cooperativity between navigation and traffic signs.

Investigating the role of theory of planned behavior and Machiavellianism in earnings management intentions

2020 ◽  
Vol 33 (6) ◽  
pp. 653-668
Author(s):  
Kangan Sayal ◽  
Gurparkash Singh
Keyword(s):  
Theory Of Planned Behavior ◽  
Earnings Management ◽  
Planned Behavior ◽  
Psychological Factors ◽  
Dark Triad ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Behavior Model ◽  
Content Type ◽  
Factors Influencing

Purpose The purpose of this study is to develop and empirically test the earnings management (EM) behavior model to investigate the personal psychological factors that influence individuals’ intentions to engage in EM. Design/methodology/approach Following a review of literature, personal-psychological factors influencing EM intentions were identified within the scope of the theory of planned behavior (TPB) and a dark triad of personality theory. The survey data from 153 MBA students were analyzed using partial least square-structural equation modeling. Findings The results revealed perceived behavior control is significant in influencing individuals’ EM intentions followed by attitude toward behavior and subjective norms. The results, however, do not support the relationship between moral obligation and intentions to engage in EM and also reported a negative relationship between Machiavellianism and individuals’ EM intentions. Practical implications The proposed model will enable organizations to develop focused training programs for managers to reduce EM behavior. It will also help educators in training students to positively shape their ethical behavior and make them more reciprocal toward others and their work environment. Originality/value The study develops the EM behavior model and suggests that TPB and Machiavellianism personality traits provide a useful framework to identify the personal psychological factors influencing individuals’ EM intentions. Further, the empirical testing of the model documents and contributes toward a better understanding of the personal psychological factors significantly influencing individuals’ EM intentions.

Extending the theory of planned behavior to understand consumers’ intentions to visit green hotels in the Chinese context

2018 ◽  
Vol 30 (8) ◽  
pp. 2810-2825 ◽  
Author(s):  
Jing Wang ◽  
Shanyong Wang ◽  
Yu Wang ◽  
Jun Li ◽  
Dingtao Zhao
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Environmental Concern ◽  
Equation Modeling ◽  
Content Type ◽  
Positive Effects ◽  
Tpb Model ◽  
Perceived Consumer Effectiveness ◽  
The Impact ◽  
Green Hotels

Purpose This paper aims to explore the intention of consumers to visit green hotels in China through the theory of planned behavior (TPB) extended by adding perceived consumer effectiveness and environmental concern. Design/methodology/approach The TPB model is used as the basic theoretical framework but is extended by adding two critical variables. Data is collected from 324 respondents by using a self-administered questionnaire survey and analyzed with the assistance of structural equation modeling. Findings The empirical results show that perceived consumer effectiveness and environmental concern have positive effects on the attitude and the intention of consumers to visit green hotels, and that perceived consumer effectiveness has the largest effect. However, in China, the impact of environmental concern on the intention of consumers to visit green hotels is relatively limited, and the subjective norm has a strong effect. In addition, this research verifies the usefulness of the extended TPB model in understanding the intention of consumers in green hotels industry in China. This is evidenced by a comparison of the initial TPB model with the extended TPB model where the explanatory power has improved from 65 to 68 per cent. Originality/value This research contributes to TPB theory by addressing certain gaps in the literature regarding the intention of consumers to visit green hotels in China. Furthermore, considering the limitations of the TPB model, two pro-social variables, namely, perceived consumer effectiveness and environmental concern, are incorporated into the TPB model to better understand the intention of consumers to visit green hotels. Also, this research addresses the gap that studies on the role of perceived consumer effectiveness are limited in the tourism and hospitality management literature. The results indicate that perceived consumer effectiveness has the largest influence on the intention of consumers to visit green hotels.

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