• Proceedings of the Korea Association of Information Systems Conference
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• 2004.11a
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• pp.431-443
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• 2004

Many e-Learning companies are incorporated for the last five years, but most of them are failed or merged by the other company. The main reasons are the absence of competitive strategies and recognition of critical success factors. There are many researches on the critical success factors of Information System (IS) and Electronic Commerce (EC) . We derived e-Learning success factors from the previous IS and EC researches. We classified the success factors into five dimensions, (1) contents management, (2) learner management, (3) business strategy, (4) organizational support and ability, (5) learning management system (LMS), and each dimension has 9 or more success factors measurement items. We surveyed the perceived importance of the success factors from the manager of South Korea e-Learning firms. The paper categorized the items into two or more factors for each dimension by the exploratory factor analysis. Finally, we conducted one-way ANOVA for each success factors by the business model. As a result, there is different importance level for each success factors by the business model. We concluded that each e-Learning company needs different strategies to their business model.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.97-121
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• 2019

The Korean government has focused on universities or colleges as the main targets of its startup policy since the 2010s. However, the performance is not so good, with a low survival rate. The purpose of this study is to examine the factors that underpin the success of student startups. First, through a review of the literature, this study compared the success factors of student startups with those of venture startups, which means the general startup sector, as well as youth startups, also a focus of startup policy targeting youngsters outside universities or colleges. Second, we analyzed case studies of startup companies connected University H. The literature review showed that the main target of student startups is the employment of university students. There is a lack of studies on success factors; existing studies only emphasize the entrepreneurship of students. The results of case studies showed several factors of success similar to those of general venture startups: founders, business model and resources including team, and mentoring.

• Journal of Korean Society of Rural Planning
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• v.15 no.4
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• pp.59-74
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• 2009

This study reviews and modifies general IS success models to find success factors of WIS(Web-based Information Systems) and to confirm the relationship between WIS success and user's satisfaction of web use. A WISSM(Web-based Information Success Model extended to include EQ(E-Quality) is developed to anticipate user's intention to use Web-based Agricultural Information System and fit into the survey data from 252 WIS users of RDA(Rural Development Administration). PLS is applied to estimate a structural model based on EQ-WISSM to test hypotheses including 1) users reach a high level of intention to use Web-based Information Systems when they feel a high level of interactivity among an 'E-Quality', 'Decision Making Support Satisfaction' and 'Task Support Satisfaction', and E-Quality boosts intention to use Web-based Information Systems. The results show high path coefficients and $R^2$ values and find followings; First, the EQ-WISSM explains the user's intention to use WAIS quite well. Second, E-Quality can be used well in web-based IS environment to predict IS Success. Finally, this research finds the importance of 'Task Support Satisfaction' as a mediator between 'Decision Making Support Satisfaction', 'E-Quality' and 'Intention to Use'.

• Korean Journal of Applied Biomechanics
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• v.12 no.2
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• pp.259-278
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• 2002

This study divided straight success, pade success and failure with 7male golfers who have experiences more than 3 years, analyzed kinematic factors of golf swing to suggest scientifically. The conclusions were follows. 1) The wrist angle has significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 2) The body twist angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 3) The shoulder joint rotation angle has no significant difference in success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 4) The left hip joint vertical angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 5) The hip joint rotation angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 6) The trunk angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 7 )The left knee joint angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. This study divided golf swing motion of pattern change in straight success, pade success and failure and analyzed the kinematic factors by 3-dimension cinematography to improve performance. In the future, many researchers have to study kinematic analysis to improve performance in every events.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.71-101
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• 2006

Modern companies have heavily invested in developing CRM systems without explicitly knowing how the systems improve customer relationship management. Many researchers have attempted to find the factors that contribute to the success of CRM systems. However, most research have investigated the direct relationships between CRM success factors and system success without explaining how the factors contribute to the system success. It seems to be logical to think that success factors enhance the customer equity value management (CEVM) capability of the firms and then these capabilities are the foundation for the success of systems. In this study, we developed a CRM success model that includes CEVM capability as a mediating variable. The research followed the following steps: (1) CRM success factors that have theoretical relationship with CEVM capability are identified and categorized, (2) the theoretical relationship between CEVM capability and CRM performance is established in the perspective of strategic CRM, and (3) the research model is tested with the survey data collected from Korean firms.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.399-409
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• 2021

The demographic characteristics of a leader are important for small businesses during the COVID-19 pandemic. Several researchers have proven that demographic characteristics affect business success. Unfortunately, business success has only been analyzed from a financial perspective and has not been compared to the owner's interests perspective. This study examines business success from both perspectives. This study aims to analyze the demographic characteristics of small entrepreneurs and their impact on business success. Demographics consist of age, experience, education, and gender. Meanwhile, business success is seen from two perspectives: financial performance and the owner's interest. The study used an explanatory survey method. The number of samples is 155 entrepreneurs who are also the leaders of their businesses. The research was conducted in Bandung City, Indonesia, in 2021. The data was processed using descriptive statistics and multiple regression. The study results found that age only affects financial performance. Experience is proven to affect financial performance and the interests of the owner. Gender only affects the interests of the owner. This study concludes that in difficult times such as the COVID-19 pandemic, having young leaders who are experienced will make it easier to achieve business success.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.233-241
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• 2012

The object of the project management is to succeed in the project. However, could you definitely judge that the result of project performance is a success? In addition, do both customer and developer agree with the result of your judgement? There are a lot of definitions and measure for the success and failure of the software development suggested, but there is no definite standard for the classification. This paper examines the measures in order to decide the development success and re-defines the success and the failure of the project. We suggest the measure and the standard that judge the project achievement based on these definitions. Applying the suggested measure and standard, it is possible to reduce arguments between the customer and the developer on the classification of the success and the failure.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.157-171
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• 2014

A organization of social enterprises is to achieve various goals such as private interests, the public nature, and social policy. For fulfilling these goals, we have to understand the various success factors. These success factors were shared among peoples. This study explored a position of structure of social network formed by success factors of Social Enterprises with importance. A position within social network defined a number of link connected other nodes. A position is closely associated with to individual's behaviors, opinions and thinking. We used social network analysis with two mode method for explaining feathers of structure of social network formed by success factors shared among peoples. We choose degree centrality for determining a position within social network. Centrality is a key measure in social network analysis. Results is that shared success factors are operation capital(15.15%) totally, and by Buying experience of products of Social Enterprises, Business Compliance(14.39%) and planning(12.88%), and by usage time of smart devices, Business Support(17.05%) and planning(16.10%). and the dominant success factor was not explored.

• The Journal of Information Systems
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• v.14 no.1
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• pp.67-85
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• 2005

This study is to find out empirically the success factors on the development stages of e-business in Korean enterprises, to formulate e-business strategy and to decide e-business policy. For this purpose, the study reviews the conceptual framework on the success factors for the development stages of e-business and the data is collected from 304 companies implementing e-business. The study is conducted in three ophases an follows; First, according to this study, the development stage of e-business in Korean Enterprises is between 'Information Access Stage' and 'Core Business Transaction Stage'. Second, four factors comsisted of 29 items derived from factor analysis are named as 'Environmental Adaptation','Customer Relationship management','Marketing' and 'Environment of Organization'. Third, the success factors of first stage(Information Access Statge) include 'Marketing' and 'Environmental Adapotation', the success factors of second stage(Electronic Collaboration Stage) include 'Environmental Adaptation' and 'Environment of Organization' and the success factor of third stage(Core Business Transaction Stage) include 'Environment of Organization'. The results of this study show that; 1) the Korean enterprise seems to be in the Electronic Collaboration Stage of e-business development, and 2) the success factors are 'Marketing' for first stage, 'Environmental Adaptation' for second stage, and 'Environment of Organization' for third stage.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.11-24
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• 2018

We develop the success factors model including research hypotheses in the restaurant service industry. The research model in this study was tested on survey data collected from 282 restaurant owners. In this study, we tried to identify the success factors of the restaurant service industry and analyze the relationship between those success factors and business performance. Especially, we analyzed the impact of success factors on business performance being moderated by the restaurant type and location. Through the analysis of the research model, it is shown that operation management and customer relationship management and so on play an important role in the improvement of business performance. In addition, we found that the impact of the success factors on business performance is moderated by the restaurant type and location. A limitation of our study is the sampling. Franchise restaurants will need to be included in future studies. We expect that our research will help start-up restaurant managers to get useful insights to better manage their own businesses. Although the study on the success factors of the restaurant service industry is very important, there are few researches on that in Korea. Therefore, this study can give new insights on how the restaurant owners do business in the restaurant service industry.