• 한국체육학회지인문사회과학편
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• v.55 no.5
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• pp.117-125
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• 2016

Most of health behavioral research were conducted with only individual psychological variables. The purpose of this study was to integrate the theory of planned behavior and social ecological model to explain exercise intention through multilateral approaches. 50s male 252 exercise participants were used in the final data analysis. Reliability analysis, confirmatory factor analysis, correlation analysis, structural equation modeling were used to analyze. The results indicated that physical environment has a positive influence on the subjective norm. Attitude, subjective norm and perceived behavioral control have positive influence on intention. Lastly, Social environment has a positive influence on the attitude. According to the results of this study, it will be able to contribute to integration of theoretical model for various health behavior and also help to develop intervention for physical activity promotion.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.60-76
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• 2024

Broadband Internet has proven to be vital for economic growth in developed countries. Developing countries have implemented several initiatives to increase their broadband access. However, its full potential can only be realized through adoption and use. With lower-middle-income countries accounting for the majority of the world's unconnected population, this study employs the theory of planned behavior (TPB) to investigate users' intentions to adopt broadband. Rural Tanzania was chosen as a case study. A cross-sectional study was conducted over three weeks, using 155 people from seven villages with the lowest broadband adoption rates. Non-probability voluntary response sampling was used to recruit the participants. Using the TPB constructs: attitude toward behavior (ATB), subjective norms (SN), and perceived behavioral control (PBC), ordinal regression analysis was employed to predict intention. Descriptive statistical analysis yielded mean scores (standard deviation) as 3.59 (0.46) for ATB, 3.34 (0.40) for SN, 3.75 (0.29) for PBC, and 4.12 (0.66) for intention. The model adequately described the data based on a comparison of the model with predictors and the null model, which revealed a substantial improvement in fit (p<0.05). Moreover, the predictors accounted for 50.3% of the variation in the intention to use broadband Internet, demonstrating the predictive power of the TPB constructs. Furthermore, the TPB constructs were all significant positive predictors of intention: ATB (β=1.938, p<0.05), SN (β=2.144, p<0.05), and PBC (β=1.437, p=0.013). The findings of this study provide insight into how behavioral factors influence the likelihood of individuals adopting broadband Internet and could guide interventions through policies meant to promote broadband adoption.

• Journal of Korean Clinical Nursing Research
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• v.30 no.1
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• pp.24-34
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• 2024

Purpose: This study aimed to identify factors influencing nurses' intention to care for COVID-19 patients based on the theory of planned behavior, and to test the moderating effect of perceived behavior control between attitude, subjective norms, and nurses' intention to care. Methods: The participants were 167 nurses working at two designated hospitals for infectious diseases located in J and C city, South Korea. Data were collected from October 10th to 25th, 2020, and analyzed using independent t-test, ANOVA, and Pearson correlation coefficient, and hierarchical multiple regression analysis. The moderating effect was analyzed using the Process Macro model 1 (95% confidence interval, 10,000 bootstrapping), and a simple slope analysis was performed to identify the moderating effect of perceived behavior control. Results: The factors affecting nurses' intention to care for patients with COVID-19 were attitude toward the behavior (β=.32, p<.001) and perceived behavior control (β=.37, p<.001) in model 1, attitude toward the behavior (β=.28, p<.001) and perceived behavior control (β=.36, p<.001), and perspective taking (β=.26, p<.001) in model 2. The explanation power of this model was 65.0% (F=18.41, p<.001). The moderating effect of perceived behavioral control was statistically significant in the relationship between subjective norms and intention to care for patients with COVID-19 (F=16.37, p<.001). In the simple slope analysis, the reinforcement effect was greatest when the level of perceived behavioral control was at the mean (95% CI=0.46~0.67) and high (95% CI=0.70~1.08). Conclusion: Developing and applying a training program that enhances confidence and improves empathy is necessary to increase nurses' intention to care for COVID-19 patients.

• Korean Journal of Agricultural Science
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• v.42 no.1
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• pp.63-71
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• 2015

Path planning is an essential part for traveling and mowing of autonomous lawn mower tractors. Objectives of the paper were to analyze operation patterns by a skilled farmer, to extract and optimize waypoints, and to demonstrate generation of formatted planned path for autonomous lawn mower tractors. A 27-HP mower tractor was operated by a skilled farmer on grass fields. To measure tractor travel and operation characteristics, an RTK-GPS antenna with a 6-cm RMS error, an inertia motion sensing unit, a gyro compass, a wheel angle sensor, and a mower on/off sensor were mounted on the mower tractor, and all the data were collected at a 10-Hz rate. All the sensor data were transferred through a software program to show the status immediately on the notebook. Planned path was generated using the program parameter settings, mileage and time calculations, and the travel path was plotted using developed software. Based on the human operation patterns, path planning algorithm was suggested for autonomous mower tractor. Finally path generation was demonstrated in a formatted file and graphic display. After optimizing the path planning, a decrease in distance about 13% and saving of the working time about 30% was achieved. Field test data showed some overlap, especially in the turning areas. Results of the study would be useful to implement an autonomous mower tractor, but further research needs to improve the performance.

• ETRI Journal
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• v.30 no.6
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• pp.774-782
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• 2008

An operational orbit determination (OD) and prediction system for the geostationary Communication, Ocean, and Meteorological Satellite (COMS) mission requires accurate satellite positioning knowledge to accomplish image navigation registration on the ground. Ranging and tracking data from a single ground station is used for COMS OD in normal operation. However, the orbital longitude of the COMS is so close to that of satellite tracking sites that geometric singularity affects observability. A method to solve the azimuth bias of a single station in singularity is to periodically apply an estimated azimuth bias using the ranging and tracking data of two stations. Velocity increments of a wheel off-loading maneuver which is performed twice a day are fixed by planned values without considering maneuver efficiency during OD. Using only single-station data with the correction of the azimuth bias, OD can achieve three-sigma position accuracy on the order of 1.5 km root-sum-square.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.187-193
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• 2021

Data conversion refers to the process of extracting the data existing in the existing system, that is, the past data accumulated by the old information system or other methods and transferring it to the improved table of the new system. The person in charge of data conversion refers to the entire process of converting to the final destination table according to the rules designed/planned in advance. In most cases, data conversion design should be consider when the old system replace or the data of another existing system is converted and applied to a newly constructed information system. The goal of data conversion is to understand the current database system of operating environment, understand the characteristics of the DBMS in use, maintain the optimal database structure, and make the new system perform at its best. Data conversion methods are largely divide into a method using a tool and a conversion method using a program preparation. In this paper, we examine the advantages and disadvantages of the data conversion method, and try to derive the problems of the existing data conversion method. Based on this, an improved data conversion method for the system upgrade project was proposed, and verified through a questionnaire of an IT expert to prove its effectiveness

• Journal of the Korean Society of School Health
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• v.11 no.2
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• pp.217-228
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• 1998

This study was conducted to investigate determinants of intention of smoking cessation behavior. We sampled 204 university student smokers using questionaires and analyzed the data using the t-test, ANOVA, Pearson product-moment correlation, and multiple regression. The results are as follows: 1. The attitudes concerning smoking cessation behavior are related to a student's course of study, religion and is further related to whether or not they tried to stop smoking. The subjective norm is related to smoking cessation recommendations. Perceived behavioral control is related to a growth criterion, the smoking amount and whether or not they have tried to stop smoking. The intention of smoking cessation behavior is related to smoking amount and whether or not they nare tried to stop smoking. 2. Total symptom number is related to smoking amount and smoking period. 3. Total symptom number is related to behavioral belief, attitude, and the intention to stop smoking. In conclusion, it was found that university students smoke far too much, however the intention to stop smoking is very low. Therefore, an intention promoting program of smoking cessation behavior is needed to reduce the smoking rate and relaxation therapy is necessary for in changing health promoting habits.

• Journal of the Korean Home Economics Association
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• v.50 no.6
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• pp.43-54
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• 2012

The purpose of this study was to identify the factor structure of self-efficacy, clothing behaviors, contents application of the unit 'preparing and managing clothes' and the effects of self-efficacy on clothing behavior and contents application of the unit 'preparing and managing clothes'. Questionnaires were administered to 201 girl students in middle school, living in the Daegu area. Frequency, descriptive statistics, factor analysis, reliability analysis, and multiple regression were used for data analysis. The findings are as follows. Self-efficacy was composed of five factors, namely interpersonal skills, task performance skills, anxiety, planned performance, and challenging action. Clothing behavior was composed of five factors, namely pleasure, coordinated clothes, uniform preference, learning behavior, and fashion oriented. Contents application of the unit 'preparing and managing clothes' was composed of two factors, namely usefulness of lectures in general, and usefulness of Hanbok lecture. The effects of clothing behavior and contents application of the unit 'preparing and managing clothes' on each of the self-efficacy variables, like interpersonal skills, task performance skills, anxiety, planned performance, and challenging action were explained by factors such as pleasure, coordinated clothes, uniform preference, learning behavior and fashion oriented, and usefulness of lectures in general and usefulness of Hanbok lecture.

• Journal of Korean Academy of Nursing
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• v.35 no.6
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• pp.1063-1071
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• 2005

Purpose: This study was done to develop and test validity and reliability of on instrument for predicting nursing intention for SARS patient care. Method: The psychometric properties of a SARS patient care attrition prediction tool, based on the Theory of Planned Behavior, were examined in this study. The Three-phase design involved a) salient beliefs generated from clinical nurses (n=43) b) content validation by expert panel evaluations(n=5) c) face validation by plot testing (n=10) d) and instrument validation in a cross sectional survey (n=299). Psychometric analysis of survey data provided empirical evidence of the construct validity and reliability of the instrument. Result: Principal component analysis verified the hypothesized 6-factor solution, explaining $68.2\%$ of variance, and Alpha coefficients of .7538 to .9389 indicated a high internal consistency of the instrument. Conclusion: The instrument can be used by nurse administrators and researcher to assess clinical nurses' salient beliefs about caring for SARS patients, guide tailored intervention strategies to effective caring, and evaluate the effectiveness of interventions.

• Child Health Nursing Research
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• v.24 no.4
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• pp.484-495
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• 2018

Purpose: This study was conducted to develop a scale for measuring aggression in adolescents, based on Ajzen's Theory of Planned Behavior (TPB). Methods: The participants were 38 adolescents in an in-depth study conducted to develop items for indirect measurement, 13 adolescents in a pre-test, and 289 adolescents in the present survey. The collected data were analyzed using content validity, the correlation coefficient, exploratory factor analysis, confirmatory factor analysis, reliability, and the Cronbach's ${\alpha}$. Results: In this study, the most important variable related to aggression was found to be aggression intention. This study included 4 factors of direct measurement and 6 factors of indirect measurement; therefore, 41 questions were developed. Increased levels of aggression were associated with higher scores for attitudes of aggression, subjective norms, perceived behavioral control, and aggression intention. Conclusion: We found that the questionnaire used in this study was valid and reliable as a measurement scale to explain aggression in adolescents based on TPB. Aggression intention should be included in aggression prevention programs because it was linked to aggressive behavior.