• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.71-86
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• 2023

Although starting a business plays a key role in strengthening national competitiveness and creating jobs, it is recognized as a risky choice. Failure to start a business can result in a wide range of negative effects, such as loss of personal wealth as well as deterioration of national competitiveness. This study considers startups that have reached a level of sustainable growth by achieving performance above the minimum profitability and sales standards for KOSDAQ listing, or achieved EXIT through sale or listing, as successful startups. based on the practical experiences of 23 successful entrepreneurs and Based on perception, the importance and priorities of startup success factors were derived through stratification analysis (Analytic Hierarchy Process, AHP), and interviews were conducted. In particular, using the ERIS model, we comprehensively analyze various variables of a start-up by considering the four elements of the entrepreneur, resources, industry, and strategy, and examine the changes and importance of success factors according to the characteristics of each growth stage of the start-up. As a goal, we specifically identified the challenges and opportunities faced by entrepreneurs at each stage. As a result of the study, the order of importance of the top factors of success factors in the start-up period was found to be the entrepreneur, resources, industry, and strategy. In particular, the importance of the entrepreneur's entrepreneurship spirit, special capabilities, general capabilities, and human resources was emphasized. The order of importance of the top factors of success factors during the growth period was found in the following order: entrepreneur, resources, industry, and strategy. In particular, the importance of general capabilities, entrepreneurship, and human and organizational resources was emphasized. This study is significant in that it analyzes startup success factors from the perspective of successful entrepreneurs and provides useful insights and directions to entrepreneurs and policy makers.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.348-362
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• 2010

In the Knowledge-based economy, it is inevitable for companies to implement knowledge management(KM in short) to improve management performance. In order to better understand the KM, it is necessary to examine the relationship between success factors of KM and KM performance in agribusiness sector. This study empirically analyzes the impact of success factors of Knowledge Management on companies' management performance in agribusiness cluster. From the survey data of 43 companies located in Sunchang fermented soybean products Industrial cluster, the study finds that four factors- learning culture, network, knowledge sharing and knowledge creating- influence management performance in a positive way. It also examines whether Industrial cluster strategy functions as a moderator between KM success factors and companies' performance. Furthermore, this study concludes that Sunchang fermented soybean Industrial cluster has not reached to the final stage of KM and suggests elements for further improvements.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.127-149
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• 2013

Competitiveness of service industry in Korea is relatively lower than OECD countries'. Korean government, therefore, has been trying to improve the competitiveness of service industry by accelerating information technology (IT) adoption. Even though most of factors of IT can be contributed to improve the financial performance, it may be affected differently among various industry types and life cycles of companies. Therefore, it is one of very important research issues to analyze the influential effect of IT considering industry types and organizational life cycles in service industries. The purpose of this study is to find out critical success factors of IT which influence financial performance considering different types and life cycles of service industries. We developed the model and identified key success factors of IT adoption as IT system quality, Information quality, IT maintenance, CEO support, IT education of organization, and IT competence of user. Additional analysis of moderating effect by organizational life-cycle and types of service industry are conducted. For data sampling 856 companies are participated and total 2,000 questionnaires are collected. Structural equation modeling method is conducted for statistical analysis. The results show that the model is valid and most of success factors of it are very useful for improving financial performance of service industries except organizational IT education. Moderating effect of industry types and organizational life cycles is valid but partially accepted. The results might be able to provide useful directions and guide lines of IT acceleration in service industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4770-4777
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• 2011

Recently a rapidly changing business environment, business strong ability and operating an integrated information system is actively made. However, the result of the success factors affecting the overall project, but a study to analyze the project's success is not enough. In this study, the project implementation and operation of the critical success factors that can occur in the analysis of research and practice leading to the combination of variables derived from empirical studies find and isolate the success factors were over. Present study came from existing projects that can be the integrated system, representation factors affecting the implementation and operation of business processes in order to analyze the elements and procedures, performance capabilities of the organization, consultants and professionals involved with other related variables were analyzed by injecting. In this study, the consultants and experts showed that the variables are very significant rather than the organization's ability to perform business processes and procedures. This study will give a guideline as future success factors for building an integrated system of professional experiences.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.199-206
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• 2020

This study was conducted for the purpose of developing a measurement tool for success and failure factors of education and training of Korean bodyguards. conducted a meeting from the fully open questionnaire at first, and then formed the semi-structured questionnaire, finally carried out the survey from the closed questionnaire and analyzed data from SPSS 21.0, AMOS 21.0 and developed the measurements. It was conducted from May, 2019 to December, 2019. This survey was conducted of 150 security guards after the verification of the content validity though the pilot survey and presented the success attribution factors and standards on the basis of the result form this survey. As a result, the success factors of the training of the bodyguards were accidental education (5 item), vocational mental education (2 item), vocational mental education (2 item), work ability enhancement education (2 item), realistic practical education (2 item) ), Including 4 items, 11 items, The failure factors consisted of 12 item of three factors: formal education and training (5 item), lack of leadership qualities (4 item), and lack of education (3 item).

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.221-232
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• 2019

This study aimed at finding out special education teachers' failure and success factors in teacher recruitment examinations. Total of 24 special education teachers participated in the semi-structured interview and 12 separate semantic themes were extracted via continuous comparative analysis on the interview contents. The findings were the following. First, the identified factors for the failures on the examinations were merely following what others do, failure-causing learning strategies, unconditional memorization, ineffective study groups, anxiety and lack of confidence, and lack self-management issue. Second, the identified factors for the success on the examinations were my style of study habits, success-causing learning strategies, balance of understanding and memorization, effective study groups, positivity, and strong self routine. The research proposes several practical applications to prepare the exam regarding this results.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.3
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• pp.41-57
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• 2021

This study explores the success factors of post-investment management in content projects, which have recently seen increasing quantitative and qualitative status. The dependence on investment is huge in projects in the domestic content industry. As a result, unlike other industries, the content industry has a large role and contribution of investors in terms of project management. This study is conducted on 15 venture capitalists who have a key function in domestic content investment, and draws on their successful experience, what factors are successful in management(project management). To this end, 10 representative project management areas at the research and practice level are manipulated to suit content projects, and success factors by management area are derived in a qualitative manner for films and games with genre and industrial representation. For each area of management, a total of 38 success factors were derived, ranging from as little as three to as many as five. Given the theoretical and practical implications of research and the limitations of research, we present future research directions.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.21-28
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• 2022

The increase in the number of large cities and the size of their population sharpens attention to the new role of cities as entities to ensure a high-quality, safe and modern life of citizens, which has become significantly more active in recent years. The rapid spread of smart cities in the modern world has actualized the issue of analyzing their success and assessing the role of various factors in this. Every success of a smart city is always the result of a unique combination of the most modern technologies, environmental and social initiatives, skillful and consistent management, as well as available human potential. The purpose of the article is to analyze the success factors of smart cities based on the generalization of the results of the most famous ratings. In order to identify the impact of various factors, primarily intellectual, on the success and leadership positions of smart cities, the following ratings were consistently analyzed: Smart City Index (SCI), City in Motion Index (CIMI), Global Power City Index (GPCI), Global Cities Index (GCI), Global Cities Outlook (GCO). They have a different list of indicators and main pillars (dimensions), but all ratings take into account aspects such as: governance, ICT, mobility, functionality, human capital, etc. The highest correlation coefficient, that is, the strongest linear relationship of the CIMI index was found with such factors as: Human capital, Economy, Governance and Technologies. Summarizing the results of the TOP 20 smart cities according to different ratings allowed us to confirm that the list of leaders is very similar in all ratings. Among those cities that are in the TOP-20 in all five indexes are: London, Sydney and Singapore. There are four indices: New York, Paris, Tokyo, Copenhagen, Berlin, Amsterdam, Melbourne. Achieving leadership positions in smart city rankings is always the result of a combination and synergy of certain factors, and first of all, it is the quality of human capital. The intensity and success of the use of information and communication technologies in locality management processes, city planning and improvement of the city's living conditions depend on it.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.484-489
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• 2004

The purpose of this study is to examine the success factor of Quality Management (QM) in the manufacturing conditions aspect of medium and small-sized sanitary enterprise. The requisite for manufacturing factors are classified into manufacturing human factors (the number of production employee, training and teaching, discuss on quality, manufacture expertness, etc.), manufacturing facility factors (coating, hardening, and molding equipment), manufacturing core component factors (temperature and viscosity, line, surface). And the indicator of quality outcomes are measured by reorder and recommendation to others.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.214-229
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• 2021

There is an increasing need for complex and large projects to be carried out quickly. As the duration, size, and cost of the project increase, concerns about project failure are also rising. Finding factors that hinder the performance of an effective project and eliminating them in advance or controlling and managing them more effectively can be a more direct way to secure the success of the project. Previous studies have identified compositional dimensions that are classified according to attributes, covering the various obstacles that affect the success of the project through existing literature. It is a follow-up to previous research. Using DEMATEL techniques, we would like to propose to explore the appropriate measures that an entity and organization can take by identifying the causality between factors through cross-impact analysis of project disabilities and even presenting factors that may arise when they are identified. As a result of the analysis, according to the indicators to evaluate the importance, 8 factors were found to be relatively important factors, excluding the factors that Failure of project feasibility analysis and Technical environment change. In addition, 5 factors were found to be causative factors; Technical environment change, Unclarity project plan, Strategic consistency error, Inaccuracy of requirement definition, and Failure of project feasibility analysis. In contrast, the remaining 5 factors were found to be the result factors; Lack of benefits realization, Negative attitude of top management, Stakeholder conflict, Difficulty of process management, and Disturbance of communication.