The purposes of this study were to provide evidence concerning the effects of Emotional Leadership and examine the impacts of Emotional Leadership on employee-related variables which were 'job satisfaction', 'organizational commitment', 'organizational performance', 'turnover intention'. A survey was conducted from August 23 to November 3, 2005 to collect data from kitchen staff(N=611). Statistical analyses were completed using SPSS Win(12.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, cluster analysis and AMOS(5.0) for structural equation modeling. Kitchen staffs gave high point to their leader in the Emotional Leadership competence 'Optimism: seeing the upside in events' and 'Adaptability: flexibility in handing change' and gave lower point in the Emotional Leadership competence 'Inspirational leadership: guiding and motivating with compelling vision'. Employees' job satisfaction on 'coworker' were relatively high. However, the extents of satisfaction on 'payroll', 'promotion', 'work environment' were relatively low. The organizational commitment score was higher at 'loyalty' factor than 'commitment' factor. the test of hypothesis using structural equation modeling found that Emotional Leadership produced positive effects on job attitude and job performance. In conclusion, this study has identified that the Emotional Leadership effects on their organizational performance and attitudes toward their job.
Recent advancements of permanent magnet (PM) materials and solid-state devices have contributed to a substantial performance improvement of permanent magnet machines. Owing to the rare-earth PMs, these motors have higher efficiency, power factor, output power per mass and volume, and better dynamic performance than induction motors without sacrificing reliability. Not surprisingly, they are continuously receiving serious considerations for a variety of automotive and propulsion applications. An electric vehicle (EV) requires a high-effficient propulsion system having a wide operating range and a capability of generating a high peak torque for short durations. The improvement of torque-speed performance for these systems is consequently very important, and researches in various aspects are therefore being actively pursued. A great emphasis has been placed on the efficiency and optimal utilization of PM machines. This requires attention to many aspects related to the machine design and overall performance. In this respect, the prediction of iron losses is particularly indispensable and challenging, especially for drives with a deep field-weakening range. The objective of this paper is to present iron loss estimations of a PM motor over a wide speed range. As aforementioned, in EV applications core losses can be significant during high-speed operation and it is imperative to evaluate these losses accurately and take them into consideration during the motor design stage. In this investigation, the losses are predicted by using an analytical model and a 2D time-stepped finite element method (FEM). The results from different analytical approaches are compared with the FEM computations. The validity of each model is then evaluated by these comparisons.
Proceedings of the Korean Society of Precision Engineering Conference
/
2004.10a
/
pp.1061-1065
/
2004
The knowledge-based society of the 21st century requires effective education and learning methods in each professional field because the development of human resource determines its competence more than any other factors. It is highly desirable to develop an intelligent tutoring system, which meets ever increasing demands of education and learning. Such a system should be adaptive to each individual learner's demands as well as the continuously changing state of the learning process, thus enabling the effective education. The development of a learning environment based on learner modeling is necessary in order to be adaptive to individual learning variants. An intelligent learning environment is being developed targeting the heritage education, which is able to provide a customized and refined learning guide by storing the content of interactions between the system and the learner, analyzing the correlations in learning situations, and inferring the learning preference from the learner's learning history. This paper proposes a heritage learning system of Bulguksa temple, integrating the ontology-based learner modeling and the learning preference which considers perception styles, input and processing methods, and understanding process of information.
Purpose - This study aims to identify new attributes by analyzing reviews conducted by global automaker customers and to examine the influence of these attributes on satisfaction ratings in the U.S. automobile sales market. The present study used J.D. Power for customer responses, which is the largest online review site in the USA. Design/methodology - Automobile customer reviews are valid data available to analyze the brand personality of the automaker. This study collected 2,998 survey responses from automobile companies in the U.S. automobile sales market. Keyword analysis, topic modeling, and the multiple regression analysis were used to analyze the data. Findings - Using topic modeling, the author analyzed 2,998 responses of the U.S. automobile brands. As a result, Topic 1 (Competence), Topic 5 (Sincerity), and Topic 6 (Prestige) attributes had positive effects, and Topic 2 (Sophistication) had a negative effect on overall customer responses. Topic 4 (Conspicuousness) did not have any statistical effect on this research. Topic 1, Topic 5, and Topic 6 factors also show the importance of buying factors. This present study has contributed to identifying a new attribute, personality. These findings will help global automakers better understand the impacts of Topic 1, Topic 5, and Topic 6 on purchasing a car. Originality/value - Contrary to a traditional approach to brand analysis using questionnaire survey methods, this study analyzed customer reviews using text mining. This study is timely research since a big data analysis is employed in order to identify direct responses to customers in the future.
Song, Jung Tae;Kim, Kee Woong;Choi, Youn-Chul;Park, Sung Sik
Journal of the Korean Society for Aviation and Aeronautics
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v.24
no.1
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pp.62-70
/
2016
Perception of outsource workers among Incheon Int'l airport employees was reviewed about the service performances of winning the ASQ awards in 11 consecutive years. 85% of Incheon airport operating authority(Incheon International Airport Corp.) and its outsource companies employees was composed of outsource workers. Thus, their thoughts might represent the overall perception of airport operating authority employees. The perception on the service performances of winning the ASQ awards was analyzed by researchers using attribution theory model. It is useful to apply attribution modeling in order to analyze the causal relationships among variables. Attribution is the process by which individuals explain the causes of behavior and events. Attribution theory is the study of models to explain those processes. According to empirical analysis, it was found outsource workers attributed the excellent service performance of Incheon airport to such an internal factor as service competence. However it was also implied they attributed to such external factors as the positive relationship and institutional support from airport and government authorities.
The Journal of Asian Finance, Economics and Business
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v.8
no.3
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pp.1009-1019
/
2021
This study examined the effect of market sensing capability and information technology competency (IT competency) on innovation and competitive advantage in small and medium-sized tour operators (SMTOs). This research was conducted on the SMTOs located in three major cities for a tourism destination, meeting, and exhibition in East Java, Indonesia. 175 directors or managers of SMTOs were sampled using the purposive sampling technique. Data was obtained from directors or managers using a structured questionnaire. The empirical data was then analyzed by using Structural Equation Modeling (SEM). This study showed that market sensing capability positively and significantly affects innovation. Furthermore, competitive advantage was positively and significantly affected by market sensing capability. Although results showed that IT competence positively and significantly affects innovation, in contrast, it did not positively and significantly affect competitive advantage. These research findings suggest that market sensing capability and innovation have a substantial role in creating a competitive advantage for SMTOs facing the Revolution Industry 4.0 and a dynamic environment. Thus, innovation for SMTOs can be achieved by optimizing the role of market sensing capability and IT competency. However, this study also suggests that the capability or competence will not have any impact on competitive advantage if neither is optimized.
This study reviews previous studies about the effects of RFID capabilities on strategic supply chain competence and business performance in the Chinese context. This study introduces a new perspective that measures the degree to which RFID capability levels contribute to business performance. Such an assumption is based on the fact that companies build their own capabilities through RFID capabilities and that these capabilities provide a competitive advantage for enterprises. Data on all sorts of logistics, distribution, and manufacturing companies that introduced RFID system in China were collected for data analysis. This study analyzes the structural equation modeling using Smart-PLS 2.0 program. This study confirms that internal reliability, convergent validity, and discriminant validity are satisfied. The hypothesis test result on the relationship between RFID capacity and strategic supply chain competence and strategic supply chain competence and company results is partially adopted. This study aids in establishing a RFID system construction strategy to enhance supply chain competence by suggesting guidelines for the successful introduction of RFID system through identifying the causal relationship between RFID capacity and strategic supply chain competence. This study also suggests the influence of RFID competency on visibility, agility, flexibility, and collaborations.
In this study, the influence of mothers' parenting behaviors on children's strategies and competence of emotional regulation was examined. Further, the mediating effects of children's active-social support seeking and aggressive strategies on the above relationship were explored. The participants were W mother-child pairs. The children were 5th and 6th graders at two elementary schools in Kyunggi province and Kwangju metropolitan area The data were analyzed with descriptive statistics, factor analysis, Cronbach's alpha, Pearson correlations, standard multiple regressions and structural equation modeling analysis by LISREL 8.3. The main results of this study were as follows: (1) The more the mothers coached children with affection and reasoning, the more adaptive emotional regulation the children had; whereas children tended to have maladaptive emotional regulation in response to the mothers' rejecting and forceful parenting behaviors. Also, when children were coached by mothers with love, reasoning and consistent restriction, they used more active-social support seeking strategies, whereas they used more aggressive strategies when the mothers coached children with rejecting and forceful parenting behaviors. The more the mothers were rejecting, forceful and intervening, the more the children used passive-avoidant strategies. (2) The more the children used active-social support seeking strategies and the less the children used aggressive strategies, the more likely they had adaptive emotional regulation. The more the children used aggressive strategies, the more likely they had maladaptive emotional regulation. (3) Children's active-social support seeking strategies played a partial mediating role between mothers' affectionate and reasoned coaching and children's adaptive emotional regulation. These strategies, on the other hand, played a full mediating role between mothers' consistent restriction and children's adaptive emotional regulation. Children's aggressive strategies played a partial mediating role between mothers' rejecting and forceful parenting behaviors and children's maladaptive emotional regulation. Mothers' non-intervention had an influence on neither the children's aggressive strategies nor their maladaptive emotional regulation.
Purpose: This study aimed to construct and test a hypothetical model to explain the predictive factors and causal pathways for exercise levels in patients with ankylosing spondylitis based on the self-determination theory. A conceptual framework was constructed assuming that autonomy support by health care providers would satisfy the three basic psychological needs of patients, which would increase their autonomous motivation for exercise, resulting in its initiation and continuation. Methods: This cross-sectional study included 221 patients with ankylosing spondylitis who were visiting rheumatology clinics in two tertiary hospitals. Health Care Climate Questionnaire-exercise regularly, Basic Psychological Needs Satisfaction scale, Behavior Regulation in Exercise Questionnaire-2, and exercise level were used to collect data. Results: The fitness of the hypothetical model met the recommended level (𝛘2/df ≤ 3, SRMR ≤ .08, RMSEA ≤ .08, GFI ≥ .90, AGFI ≥ .85, NFI ≥ .90, TLI ≥ .90, CFI ≥ .90). The model effect analysis revealed that autonomy support by health care providers had a positive effect on patients' autonomy, competence, relatedness, autonomous motivation, and exercise level. Competence and relatedness had positive effects on autonomous motivation and exercise level, respectively. Autonomous motivation had a positive effect on exercise level. Conclusion: The predictive factors of exercise level in patients with ankylosing spondylitis were autonomous motivation, health care providers' autonomy support, competence, and relatedness. Considering these factors, we recommend the development of an effective program for improving exercise levels in these patients.
Purpose - The purpose of this study is to examine the differential mediating effects of three dimensions of buyer trust in the influence of supplier characteristics on the relationship performance. In this study, transaction characteristics were classified into competences and assets. The corporate reputation is considered as intangible assets, the customer-linking capability is considered among the competencies and transaction specific asset is selected from tangible assets. This study is also to examine the moderating effect of technical environment uncertainty in the effects of integrity and benevolence on the intention to continue trading. This study aims to provide a guide on which dimension suppliers should manage and how to improve their trust in order to maintain business with companies in technical environment uncertainty. Research design, data, and methodology - The data for the empirical analysis of this study were obtained by interviewing the 274 purchasing managers of Daegu - Gyeongbuk small and medium enterprises. The items used in this survey were partially modified to fit the characteristics of the B2B industry. The reliability and validity of the variables were analyzed using SPSS 18.0 and AMOS 18.0 programs and hypotheses were verified through the structural equation modeling. Results - In this study, reliability was examined by Cronbach 'α test. Composite Reliability and Average Mean Variance extracted value exceeded the baseline values. As a result of hypotheses testing, the hypothesis that the transaction specific asset will improve the benevolence and that benevolence will improve the intention to continue the transaction were rejected and all the other 9 hypotheses were adopted include 2 moderating hypothesis. Conclusions - This study shows which dimension of trust suppliers should appeal to the buyer according to the uncertainty of the technology environment in order to maintain the transaction with the buyer. competence and integrity are important when technology environment uncertainty is low, and competence and benevolence are important when technical environment uncertainty is high. In order to improve competence, corporate reputation and transaction-specific asset are important. To improve integrity, corporate reputation and customer-linking capability are important. In order to improve benevolence, customer-linking capability is important. And various implications were discussed.
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