The Journal of Asian Finance, Economics and Business
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v.8
no.4
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pp.441-453
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2021
This study seeks to examine the effect of attitude, subjective norm, and perceived behavioral control on the purchase behavior of students enrolled in a private higher education establishment in Tangerang, Indonesia. This is a quantitative study and it employs samples by simple random sampling of 410 university students. The returned and valid questionnaire results totaled 261 samples. Data processing used the SEM method with SmartPLS 3.0 software. The findings of this study reveal that attitude, subjective norm, and perceived behavioral control have a significant effect on purchase intention. Meanwhile, purchase intention has a significant effect on working students' purchase behavior, and halal awareness had a moderating effect of purchase intention on purchase behavior. Purchasing interest has a positive effect on purchasing behavior, and this study proves that halal awareness is able to moderate the effect of purchase intention on purchasing behavior toward halal food products. The higher the awareness of halal products, the greater the relationship between buying interest and buying behavior of halal food. The results of this study also show the importance of paying attention to halal awareness factor in the form of increasing the relationship between buying interest and buying behavior of halal food products.
Purpose: The purpose of this study was to investigate the factors affecting the prevention behavior of COVID-19 infection among nursing students. Methods: This survey was conducted from September 3 to October 2, 2021 among 172 sophomore and senior students at universities in D metropolitan city and J province. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation and Hierarchical Regression. Results: There were significant differences in COVID-19 preventive behavior by gender (t=0.13, p=.017) and clinical practice experience (t=2.78, p=.006). COVID-19 preventive behavior showed significantly positive correlations with subjective norm (r=.35, p<.001), self-efficacy(r=.33, p<.001), and intention(r=.62, p<.001). The variables affecting COVID-19 preventive behavior were intention(β=.529, p<.001), subjective norm(β=.169, p=.008), and clinical practice experience(β=.118, p=.049), and the explanatory power was 43%. Conclusion: Considering these results, it is necessary to develop strategies that can encourage the intention of nursing students to practice prevention for COVID-19 infection control. In addition, maintaining subjective norms through national policies is a critical strategy.
This paper presents a non-local means (NLM) denoising algorithm based on a new weighting function using a mixed norm. The fidelity of the difference between an anchor patch and the reference patch in the NLM denoising depends on noise level and local activity. This paper introduces a new weighting function based on a mixed norm type of which the order is determined by noise level and local activity of an anchor patch, so that the performance of the NLM denoising can be enhanced. Experimental results demonstrate the objective and subjective capability of the proposed algorithm. In addition, it was verified that the proposed algorithm can be used to improve the performance of the other $l_2$ norm based non-local means denoising algorithms
The purpose of this study was to explore how the Theory of Planned Behavior applies to five appearance management behaviors and the effects of three variables - attitude, subjective norm, and perceived behavior control on appearance management behaviors. The research was conducted by surveying 410 female adult respondents between the ages of 20 to 40 with the goal of predicting the appearance management behavior of women. The data were analyzed using IBM SPSS Statistics 19.0 and Amos 19 in addition to Frequency analysis and path analysis. In the first case, the potential for applying appearance management theory on appearance management behavior of women was observed. The appearance management behavior performed by women was classified into five categories: skin care behavior, makeup management behavior, apparel management behavior, hair care behavior, and weight management behavior. It was determined all five behaviors could be predicted by applying the Theory of Planned Behavior. In the second case, effects of attitude related to subjective norm and perceived behavior control related to skin care behavior was statistically significant. In terms of makeup management behavior, all of the three variables were statistically significant. With regard to apparel management behavior, only subjective norm behavior was statistically significant. Concerning hair care behavior, attitude and perceived behavior control were statistically significant. On weight management behavior only attitude was statistically significant.
The majority of studies on breastfeeding consists of descriptive correlational studies identifying the incidence and correlates of breastfeeding. The theory of planned behavior has been shown to yield great predictive power for behavioral goals over which individuals have only limited control such as improving school grades and weight loss. The purpose of this study was to test the "theory of planned behavior" in the prediction of breastfeeding of mothers who delivered vaginally, One hundred mothers who delivered vaginally in one general hospital in Seoul and one general hospital and three private hospitals in Taejeon participated in this study. The instruments used for data collection in this study were developed by the researchers following the guidelines suggested by Ajzen & Fishbein(1980) and Ajzen & Madden(1986). The instruments included measurement of attitude, subjective norm, perceived behavioral control and intention. The collected data were analyzed using descriptive statistics, Pearson product moment correlation, hierachical multiple regression and logistic regression. The results are as follows ; 1. Intention to breastfeed correlated significantly with attitude, subjective norm and perceived behavioral control. Both attitude and subjective norm did not make a significant contribution to the prediction of intention, but the addition of perceived behavioral control to the regression equation greatly improved the model's predictive power, increasing the R²from .05 to .52. 2. Intention to breastfeed alone had a significant predictive effect on actual breastfeeding, resulting in a regression coefficient of .16(X²=8 60, p<.01), but when perceived behavioral control was added to the equation, intention was not a significant predictive variable and only perceived behavioral control showed significant predictive power on actual breastfeeding, resulting in a regression coefficient of .12(X²=4.69, p<.05). In sum, breastfeeding behavior lent only partial support to the second version of the theory of planned behavior, and because perceived behavioral control had a strong effect on intention to breastfeed and actual breastfeeding, It would be desirable to develop nursing intervention programs which focus on strengthening the perceived behavioral control for the promotion of breastfeeding.
This study was purposed to apply Aizen's Theory of Planned Behavior to workers using personal protective equipment. For this purpose, occupational health nurses conducted a survey of 173 male workers who were working at 6 different factories during the period from August to October 2003. The score of each variable related to the Theory of Planned Behavior was calculated: attitude (3.74); subjective norm(4.10); and perceived behavioral control (3.48). Four preceding factors were also assessed: behavioral belief(3.63); outcome evaluation(4.05); normative belief (4.20); and motivation to comply(4.03). Analysing the results, we found that two factors of the Theory of Planned Behavior are important in this case, which were subjective norm and perceived behavioral control that were found to be in a strong positive linkage with the use of personal protective equipment. Thus enhancing subjective norm and perceived behavioral control must be the most important goal of health education for workers who must use personal protective equipment. In addition, though behavioral intention, an intermediate factor of the Theory of Planned Behavior, was not measured in this study, subsequent studies are expected to include the factor in their models.
The Journal of Korean Society for School & Community Health Education
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v.10
no.2
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pp.15-27
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2009
Background and Goals: This study set out to apply the Theory of Planned Behavior (TPB), which is known to provide good explanations about human behavior, and test it to see if it could predict safety behavior by affecting the intention for safety behavior and perceived behavioral control and if intention for safety behavior would be influenced by attitude toward behavior, subjective norm, and perceived behavioral control. Methods: The subjects were 98 dental technology majors in D City. The questionnaires were distributed, filled out and collected on the spot. Each item was measured on a seven-point scale, and it's interpreted that the higher mean of each item would translate into safety behavior. Results: The analysis results of the Theory of Reasoned Action (TRA) variables indicate that only subjective norm ($\beta$ = .528, p < .000) had explanatory power of 27.2% (F = 37.170, P <.001) for intention for safety behavior. The results show that subjective norm and attitude toward behavior affect intention for safety behavior. The analysis results of the TPB variables revealed that intention for safety behavior had explanatory power of 26.6% (F = 36.072, p <.000) for behavior. When intention was added by perceived behavioral control, the explanatory power increased to 34.5% (F = 26.530, p <.000). And when it's added by knowledge, the explanatory power increased to 39.0% (F =21.661, p <.000). The results suggest that intention has the biggest influence on predicting safety behavior. Conclusion: The results show that the TPB model by Ajzen (1985) has greater forecasting power for intention and act of safety behavior than the TRA model by Fishbein & Ajzen (1980) and the TPB model can applied in the prediction of safety behavior. Thus safety behavior is considered as behavior whose determination control is limited. And safety education programs that add knowledge to the TPB variables will help the students promote their safety behavior.
Purpose: This study was done to examine differences in mammography screening according to breast cancer and social network characteristic. Methods: Data were collected from 187 married women 35 years and older who were using public health centers, health promotion centers, cultural centers, obstetrics and gynecology hospitals or other relevant community sites. Data were collected between October 24 and December 4, 2008. Data were analyzed using the SPSS/WIN 15.0 program. Results: The participation rate for mammography screening was 35.3%. The following general and breast cancer characteristics showed statistically significant differences: religion, family incomes, regular medical-care, general health examinations during past 2 years, and history of breast disease. The following social network characteristics showed statistically significant differences: social norms and subjective norms. Using logistic regression analysis, regular medical-care, breast cancer risk appraisal, social norm, and subjective norms were highly predictive of subsequent mammography. Conclusion: The results of this study indicate that it is important to develop and provide tailored intervention programs through integrated socially mediated programs. By consciously including social network and support systems, breast cancer detection efforts would not end as a one-time event, but naturally build on network structure of adults women, thus facilitating regular mammography screening.
Journal of Korea Society of Industrial Information Systems
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v.16
no.4
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pp.139-149
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2011
Smartphone is a new information technology that converges PDA into a mobile phone. Based on the Technology Acceptance Model, this study examines factors influencing the intention to use smartphone. Independent variables of this research are composed of the subjective norm, innovativeness, perceived usefulness, perceived ease of use, perceived enjoyment, cost relevance. Questionnaires are collected from 289 students who are using a smartphone. The results are following: first, the subjective norm, innovativeness, perceived usefulness, the perceived enjoyment, and cost relevance have positive effect on the intention to use smartphone, but the perceived ease of use has not. Second, the perceived enjoyment is found to be the strongest predictor of the intention to use.
Objectives: The purpose of this study was to test the Theory of Planned Behavior (TPB) in the prediction of smoking cessation intention and smoking cessation behavior among adolescent smokers, in order to provide basic data to develop a future smoking cessation program as a nursing intervention. Method: The study subjects were 80 adolescent smokers who had smoked one cigarette and attended a five-day school smoking cessation program. The data were collected from October 24 to December 21, 1999. The instruments used in this study were the tools developed by Jee (1994) to measure TPB variables such as attitude toward smoking cessation behavior, subjective norm, perceived behavioral control, smoking cessation intention, and smoking cessation behavior. The data were analyzed with the SAS/PC program using descriptive statistics, hierarchical multiple regression, and logistic multiple regression. Results: 1. Attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control were partially significant in predicting smoking cessation intention. 2. Smoking cessation intention and perceived behavioral control toward smoking cessation behavior did not significantly predict smoking cessation behavior. 3. There were partial interaction effects among the attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control in the prediction of smoking cessation intention. 4. There were partial interaction effects between smoking cessation intention and perceiver behavioral control toward smoking cessation behavior in the prediction of smoking cessation behavior. Conclusion: This study partially demonstrated support for the TPB model that was partially useful in predicting smoking cessation intention and smoking cessation behavior among adolescent smokers. Therefore, it is recommended that attitude toward smoking cessation behavior and perceived behavioral control should be considered in developing smoking cessation programs and implementing nursing interventions to change the smoking behavior of adolescent smokers.
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