This study aims to explore how the individual characteristics of the senior job placement project coordinators and the organizational structure in which they work affect their job performance. A survey of 251 coordinators who were working in the senior job placement project agencies were retrieved and used for empirical analysis using the SPSS Win.12 program. The result shows that a sense of self efficacy, the individual traits(understanding of the senior job placement project, attitude towards the elderly) and the organizational structure(the level of formalization of agency) were statistically significant predictors of the level of job performance. The results of this study show that the coordinators who were more confident about themselves, who had more understanding about the senior job placement project, who had more positive attitude towards the social activities of the elderly, and who were working in agencies with higher level of formalization had a higher level of job performance than their counterparts. Therefore, more policy and program considerations should be taken into account in empowering the coordinators, and in providing them with standardized organizational process. This in turn will ultimately enable them to better serve the elderly who participate in the senior job placement projects.
The research compared the motivational network of traits predictive of complaint attitudes across consumers in the U.S. and South Korean cultures. Overall, the results revealed a similar pattern of traits predictive of complaint attitudes in the two cultures. The traits of value consciousness, general self-efficacy, emotional instability, and the need for material resources were positively related to attitudes toward complaining. In contrast, conscientiousness was negatively related to complaint attitudes. The only trait predictor of complaining attitude that was significantly different between the Korean and U.S. samples was shopping enjoyment. It was negatively related to complaining attitude in the U.S. sample but unrelated to complaining attitude in the Korean sample. Understanding the personality traits predictive of complaint attitudes has the potential to help marketers develop messages that will encourage the low complaint prone to voice their dissatisfaction. This is important, because when a consumer complains about and unsatisfactory purchase, it gives the firm a chance to take actions to avoid losing a customer.
Yoonkyung Chung ;Minhye Lee ;Yeon-kyoung Woo ;Mimi Bong ;Sung-il Kim
Korean Journal of Culture and Social Issue
/
v.16
no.2
/
pp.103-124
/
2010
The purpose of the present study was to examine the relationships among private tutoring hours, academic motivation, use of learning strategies, and academic achievement test scores using structural equation modeling. The sample consisted of 3,607 7th graders from Korean middle schools who were included in the Korean Education Longitudinal Study. The results suggest that there was no evidence that the private tutoring hours predicted students' motivation and learning strategy use. It was found that the private tutoring hours predicted achievements in English and Math, but it was negligible in magnitude. As for achievement test scores, academic motivation and the use of learning strategies played more critical role rather than the private tutoring hours.
The purpose of this research is to study the relation between the change of driver's driving confidence level in the age categories and driving behavior. To survey the driving confidence level, we used the 'Driving Confidence Scale' questionnaire and surveyed the drive career, mileage, driving days, violation of traffic regulation (drunk driving, overspeed), traffic accident experience (assaulter, sufferer) together. The subjects of investigation were from 19-year-old to 80-year-old and 1,055 persons were participated in the research totally. To examinethe structure of driving confidence level, we executed the factor analysis. We compared the driving confidence level in the age categories (under 29-year-old, 30~39, 40~49, 50~64, over 65-year-old) and studied the relation between driving confidence level and driving behavior. Driving confidence level was composed of 4 factors such as 'insensibility to situation', 'unsafe driving', 'careless concentration' and 'self-efficacy of driving', and there was decreasing tendency for driving confidence level and overall driving behavior according to increasing age. Driving confidence level had the interrelation with age range, assaulting accident, suffered accident, driving period, drunk driving, overspeed, driving career and so on. We examined the difference of driving confidence level and driving behavior by dividing the participated drivers' groups into the traffic accident experienced group, drunk driving group and overspeed driving group, and there was a significant difference on driving confidence level and driving behavior between the group who had not experienced the violation of traffic regulation or traffic accident and another group who had experienced the violation of traffic regulation or traffic accident.
The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.
The purpose of this study is to investigate the relation among alcohol outcome expectancies, alcohol abstinence self-efficacy, perceived drinking norms and alcohol use. This study was conducted via e-mail. Among 392 students who were participated via E-mail, 300 students (male 148, female 152) were met a definition of Wechsler's binge drinking. The results revealed that perceived norms were associated with alcohol use in binge drinking group, while those were not in non-binge drinking group. It was identified that a difference of peer's actual alcohol consumption and peer's perceived drinking was associated with individual alcohol use. Moreover, for binge drinking group, perceived norms predicted alcohol use better than any other factors. Drinking motives mediated the relation with perceived norms and alcohol use. Especially perceived norms affected alcohol use not only by increasing drinking motives but also by itself. Implication of this study is to provide a basis of prevention and intervention of binge drinking for college students.
Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.
This paper examines the influence of interpersonal relationship on delinquent behavior among adolescents. The role that parent-child relationship, teacher-student relationship, and relationship with friends play on delinquent behavior is reviewed. Review of empirical studies reveal the following results. First, adolescents who perceive their parents as being hostile and rejecting are more likely to engage in delinquent behavior. Second, those adolescents with parents, who have low expectations and who are less likely pressure them to succeed academically, are more likely to engage in delinquent behavior. Third, adolescents who feel that they have been abandoned by their parents are more likely to engage in delinquent behavior. Fourth, those adolescents with low social support from parents and teachers and high social support from their friends are more likely to engage in delinquent behavior. Fifth, those students who feel hostility from their teachers, have negative relationship with teachers, and experience greater punishment are more likely to engage in delinquent behavior. The results indicate that punishment can have adverse effect on some adolescents, further damaging the teacher-student relationship. Punishment can further reinforce the existing negative cycle that can increase the likelihood of adolescents engaging in delinquent behavior. The results indicate that a lack of support from parents and teacher leads to low academic and self-regulatory efficacy, which leads to low academic performance, which can results in punishments that could further damage their relationship with their parents and teachers and bring them closer to their friends. Adolescents caught up in this negative cycle are more likely to engage in delinquent behavior. These results indicate the need to reform the relational, social, and cultural environment of adolescents who are engaged in delinquent behavior.
Due to the recent transition to a non-face-to-face society, many organizations are quickly adapting to foster a smart work environment. The introduction of smart work does not simply end with incorporating ICT systems or solutions into business models since fundamental factors such as forms of employment and work styles need to be in line with the progression of technological advances. However, previous studies regarding smart work focus on improvements in productivity and efficiency from a technology acceptance perspective. Therefore, there is a lack of discussion on innovation resistance from employees and management control when ICT systems are introduced into the workplace. This study empirically analyzes the moderating effects of the organizational control method for employees and innovation resistance within a smart work environment. Additionally, this study aims to identify the structural characteristics that employees resist from an innovation resistance perspective when organizational innovation occurs. The empirical analysis of this study suggests that when smart work such as ICT technology is introduced into the workplace the level of innovation resistance decreases when there is a high level of relative advantage and self-efficacy, whereas the level of innovation resistance increases when there is a high level of use complexity. Moreover, this study revealed that the level of innovation resistance increases when the employees' behaviors were controlled. The results of this study intend to contribute to improving business management by suggesting factors worth considering when incorporating smart work into work places through a thorough case analysis.
Recently, the use of prepaid electronic payments such as electronic wallets, digital currency and prepaid points is gradually increasing. Prepaid electronic payments has the characteristic of being used after charging first. This study empirically investigated the factors affecting the intention to use online charging in order to help improve the service that require prepaid recharge by applying transformed TAM. Since there are not many previous studies for the intention to use online charging, we extract factors through preceding researches for electronic cash and mobile easy payment. Also we analyze the intention to use online charging for transportation card users, focusing on the moderating effects. As a result of the study, it was found that 'convenience', 'ubiquity', and 'self-efficacy' among the independent variables had a positive (+) effect on mediation variable 'perceived usefulness'. 'Perceived usefulness' was analyzed to have a significant influence on the dependent variable 'usage intention'. According to users' gender, internet usage time, internet shopping frequency, online charging frequency and transportation card usage type, the moderating effect was significant on 'perceived usefulness' and 'usage intention'. As an implication, it was suggested that service improvement and differentiated marketing are needed in direction of increasing the usefulness of services. Additional research directions were proposed for services such as e-wallets, prepaid points and digital currencies by adding other factors and moderate variables.
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