• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.121-129
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• 2023

This study analyzed 247 data surveyed on 119 ambulance workers 268 in a G-Do. The variance of the multiple regression model on the effect of independent variables on life satisfaction factors was statistically significant. And transformational leadership is an independent variable that significantly affects life satisfaction factors. However, there is a slight difference in the perception of transactional satisfaction factors (p=.051) was not statistically significant, so the second research question raised in this study was rejected. Based on the results of this study, transformational leadership should be centered on improving 119 paramedics' life satisfaction in the relationship between the direct effects of leadership variables related to 119 paramedics' life satisfaction. By doing so, 119 paramedics' life satisfaction will increase and the ultimate improvement in the quality of first aid at the emergency site will be achieved by providing a foothold to demonstrate the potential capabilities of 119 paramedics. In addition, 119 paramedics need to recognize and promote the importance of life satisfaction recognized in their daily lives and workplaces, creating an environment that can demonstrate transformative leadership by carefully caring for 119 center heads, team leaders, and field seniors.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.325-340
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• 2019

The purpose of this paper is to develop and suggest an integrative leadership contingency framework of leadership that will state the situational and psychological factors under which leadership effect should be maximized. Our leadership model presents that situational factors, including development, circumstances urgency and task structure, proposes which of transformational, transactional, empowering, and authentic leadership solutions. Also, our integrative leadership contingency model in turn results in a combination of the level of follower commitment, intrinsic motivation, and individual creativity based on inductive research method. This integrative leadership model suggested here has significant contributions for leadership effectiveness and future leadership research agenda. Next leadership research could experimentally examine the structural relationships between each of the leadership styles and levels of contingency and psychological factors of followers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.13-17
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• 2013

Leadership is one of the most widely explored subjects in the field of management. A variety of papers on leadership, however, still have insufficient aspects to reveal the theoretical logic about the CEO leadership itself. Such research, especially focused on organizational performance, tend to concentrate on the CEO's behavior rather than leadership because CEO's behavioral trait as an explanatory variable is useful to connect with firms' performance. Our purpose is to show how the characteristic of CEO leadership can be built at the organizational level. For a detail, the larger the firms' size, the greater the degree of CEO's charismatic leadership. The larger the degree of a firm's diversification, the greater the degree of the CEO's transformational leadership. And the less the degree of a firm's diversification, the greater the degree of the CEO's transactional leadership. This theoretical paper on CEO leadership suggests that the characteristics of CEO should be adaptable to the changing institutions and organizational environments.

• Management & Information Systems Review
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• v.31 no.2
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• pp.1-20
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• 2012

The purpose of this study was to investigate the influence of leadership types and self-efficacy, job satisfaction on organizational performance. The hypotheses were suggested and data analyses were performed to verify these hypotheses. Data gathering were performed by self-administered questionnaires on the samples of 423 mechanical fields employees in Busan & kyongnam. The results of structural model exhibit that transformational leadership, transactional leadership was positively related to elf-efficacy. And it was also found that self-efficacy, job satisfaction was positively related to organizational performance. Expecially, it showed self-efficacy, job satisfaction as a mediator on the relationships between the leadership types and organizational performance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.159-171
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• 2017

The purpose of this study is to investigate the effects of e - commerce technology characteristics and personal values on purchasing behavior by information security importance. The results of the empirical study that examined the university students in 2006 and 2016 are as follows. First, personal value is centered on personal values, such as self - esteem and self - esteem in 2006. In 2016, however, personal values such as self - fulfillment and personal relationship with others are important. Transactional ease and product service serve as the main value of the fun and pleasure of life, but the sense of accomplishment as the core value of information protection. Second, the technical characteristics of e-commerce are as follows. In terms of ease of transaction and product service, technology characteristics are simplified and directly effected over time. On the other hand, information protection works very closely with individual value, There was a strong tendency to enjoy benefits. Especially in 2006, if you want to enjoy transactional convenience through transaction information security or benefit from product service, it has been changed to recognize the importance of information security through payment in 2016.

• Journal of Korean Society for Quality Management
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• v.46 no.1
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• pp.135-152
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• 2018

Purpose: This study attempted to analyze how the ego state of flight attendants affects their job satisfaction and customer orientation using Berne's (1966) transactional analysis and further compare the difference between job satisfaction and customer orientation depending on demographic characteristics, position, and ego state. Methods: The data was collected by using the structured questionnaires to flight attendant of major airline companies. The proposed research model is tested using 164 valid questionnaires using SPSS 23 and Smart PLS 2. Results: This research indicated the only free child ego sate among ego state factors of flight attendant was found to have a positive impact on job satisfaction. In the relationship between ego states and customer orientation, all ego state factors were found to have a significant influence on customer orientation. Conclusions: The study offered a theoretical and empirical foundation for future research by empirically identifying the relationship between ego state factors and customer orientation in the in-flight service and suggested the strategic implications to increase job satisfaction and customer orientation based on the psychology and ego state of flight attendant.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.83-116
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• 2019

Given the critical role of information technology (IT) in achieving organizations' strategic goals, it becomes increasingly important for organizations to develop and retain a competent IT workforce. We investigate how organizations make IT personnel feel content with their job, motivate them to perform at their best, and consequently retain them. We develop a model in which IT leadership, conceptualized as "transformational" and "transactional" IT leader behaviors, influences IT personnel's perceptions of requisite soft skills and IT personnel's Quality-of-Work-Life (QWL), and how IT personnel's QWL in turn affects IT personnel's intention to stay. Using survey data from 205 IT professionals, we found that IT leadership behaviors, particularly transformational leadership behaviors, positively influence IT personnel's intention to stay. We also found that this relationship is fully mediated by IT personnel's QWL. In addition, we found that transformational leadership behaviors positively influence IT personnel's perceptions of requisite soft skills. We discuss the implications of our findings for theory and practice.

• International Commerce and Information Review
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• v.7 no.1
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• pp.75-94
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• 2005

With most major full service banks having launched transactional Internet banking, attention is shifting to the realities of managing the Internet channel as a profitable component of an overall delivery strategy. In addition to examining Case Study and Internet Bank Model. Services of Internet Banking available through the Internet are as follows. 1. credit card loans, personal loans. 2. high-yield financial products. 3. insurance products. 4. securities products. 5. Case study of Foreign Internet Banking(ING, BNP, HSNC, City Bank). The study reviewed fields, including financial services, customer service, Website formation and design, convenience of use and system safety, Internet Banking Model, and many related areas. Internet Banking earned high marks in most fields. This study review focuses on the following: Understanding and meeting consumer expectations for us ability, site performance and functionality. Integrating the Internet channel into overall marketing, product delivery and customer service strategies. Strategies to increase customer satisfaction with Internet Banking and to attract new Internet bankers. therefore this study review activity model concretion of Internet Banking Model and Case Study.

• The Journal of Society for e-Business Studies
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• v.3 no.1
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• pp.137-154
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• 1998

To facilitate a better understanding of the benefits, problems, and issues associated with the use of Internet and (World Wide) Web in business, we conducted an exploratory study on the use of Internet and Web by Small and Medium Enterprise(SME) using the Action-Audience Model. The Action-Audience model categorizes business use of the Web: to provide information (Informational Web), to carry out business transactions (Transactional Web), and to support business activities (Operational Web). The model also recognizes different audiences of the Web. The study shows that SMEs are in the early stage of Web use.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.95-108
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• 2011

TThis is a study of the personalization method that intelligently adapts the level of clustering considering purchasing index of a customer. In the e-biz era, many companies gather customers' demographic and transactional information such as age, gender, purchasing date and product category. They use this information to predict customer's preferences or purchasing patterns so that they can provide more customized services to their customers. The previous Customer-Segmentation method provides customized services for each customer group. This method clusters a whole customer set into different groups based on their similarity and builds predictive models for the resulting groups. Thus, it can manage the number of predictive models and also provide more data for the customers who do not have enough data to build a good predictive model by using the data of other similar customers. However, this method often fails to provide highly personalized services to each customer, which is especially important to VIP customers. Furthermore, it clusters the customers who already have a considerable amount of data as well as the customers who only have small amount of data, which causes to increase computational cost unnecessarily without significant performance improvement. The other conventional method called 1-to-1 method provides more customized services than the Customer-Segmentation method for each individual customer since the predictive model are built using only the data for the individual customer. This method not only provides highly personalized services but also builds a relatively simple and less costly model that satisfies with each customer. However, the 1-to-1 method has a limitation that it does not produce a good predictive model when a customer has only a few numbers of data. In other words, if a customer has insufficient number of transactional data then the performance rate of this method deteriorate. In order to overcome the limitations of these two conventional methods, we suggested the new method called Intelligent Customer Segmentation method that provides adaptive personalized services according to the customer's purchasing index. The suggested method clusters customers according to their purchasing index, so that the prediction for the less purchasing customers are based on the data in more intensively clustered groups, and for the VIP customers, who already have a considerable amount of data, clustered to a much lesser extent or not clustered at all. The main idea of this method is that applying clustering technique when the number of transactional data of the target customer is less than the predefined criterion data size. In order to find this criterion number, we suggest the algorithm called sliding window correlation analysis in this study. The algorithm purposes to find the transactional data size that the performance of the 1-to-1 method is radically decreased due to the data sparity. After finding this criterion data size, we apply the conventional 1-to-1 method for the customers who have more data than the criterion and apply clustering technique who have less than this amount until they can use at least the predefined criterion amount of data for model building processes. We apply the two conventional methods and the newly suggested method to Neilsen's beverage purchasing data to predict the purchasing amounts of the customers and the purchasing categories. We use two data mining techniques (Support Vector Machine and Linear Regression) and two types of performance measures (MAE and RMSE) in order to predict two dependent variables as aforementioned. The results show that the suggested Intelligent Customer Segmentation method can outperform the conventional 1-to-1 method in many cases and produces the same level of performances compare with the Customer-Segmentation method spending much less computational cost.