• Management & Information Systems Review
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• v.2
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• pp.47-73
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• 1998

According to the structural contingency theories, organizational structures are determined by such a contingency variables as organizational environment, technology, size, power and strategy. Therefore, many scholor believed that organizational effectiveness will be maximized in the condition of the fit between organizational structure and its contingency variables. But contingency theories have limitations in explaining of the manager's discretion by way of environmental determinism. In 1972, Child introduced strategic choice theory, and this perspective spurred significant, systematic studies of the influence of the managerial voluntary will on the organizational performance. Especially, the question of whether tap managers have an impact on business performance has been addressed by the strategic leadership theory that demonstrates strong associations between the characteristics of top managers, strategic orientation. Therefore, this study has investigated a theoretical literature and an empirical survey that explains the impact of top manger characteristics and organizational characteristics about strategic orientation. In order tn do that, this study develops a research model on the subjects, designed manager's characteristics, strategic typology. Managerial characteristics could be operationalized in terms of demographic measures. In this study, strategic orientation was classified using the Miles & Snow typology. This research model provides hypotheses. Hypotheses H1: The demographic characteristics of the tap manager will differ according to the types of strategic types. H2: The organizational characteristics of the firm will differ according to the types of strategic types. To test these hypotheses, this study conducted questionaire surveys on 108 firms in the Korea national wide. This study has utilized ANOVA, Chi-square analysis, cluster analysis, discriminant analysis for testing the hypotheses. The major findings of this study are summarized as follows. First, this study builds on the central tenent of cotingency theory in provide a comprehensive explanation of the process by which top manager's influence. Second, Manager's characteristics(demographics) are different from each other according to 4 strategic types(Prospector, Defender, Analyzer, Reactor). Third, Organizational characteristics are different from each other according to 4 strategic types. In conclusion, the major contributions of this study are to examine the development of a more comprehensive theoretical framework in the strategic leadership theory and to analyze their contingent relationships among managerial characteristics, organizational characteristics and strategic types in the context of Korea's industry.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.383-405
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• 2007

In this paper we estimate knowledge production function for 15 South Korean industry sectors using panel data. To accommodate the influence of inter-sectoral interactions on the creation of knowledge, we estimate parameters for related knowledge production functions using the Dynamic Seemingly Unrelated Regression(DSUR) model proposed by Mark et al. (2005). We find the elasticity of knowledge production with respect to the size of research staff to be 0.25 and that with respect to the existing stock of knowledge to be 0.35. The fact that the elasticity of new knowledge creation with regard to the existing knowledge stock is below 1 in South Korea corroborates the view that the rate of long-term growth of her economy is chiefly determined by the elasticity related to production functions of goods and services and the rate of population growth, and that her government policy, to ensure a continued growth for the Korean economy, must shift the focus of R&D policies from the current direct intervention-centered model to one consisting of indirect measures, namely supporting knowledge management and diffusion and the creation of a knowledge sharing system. In terms of R&D policy implications it could be consider that the national knowledge production system should strengthen the cumulative process of knowledge accumulation and population for research and development. Our country R&D policy, also, need to adopt a global approach to increase knowledge stock at the highest levels of a country.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.253-263
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• 2018

Textile fashion industry is a core foundation industry, having the majority of companies with 10 or more workers, in Northern Gyeonggi Province. however the industry is mostly comprised of small unit-stream enterprises, orders are greatly reduced due to lately accelerated overseas expansion of medium/large-sized vendors and the growth-inhibiting vicious circle has being set in, as this situation causes the reduction of investment. For resolving the problems, this study proposes required political factors and concrete policy proposals by designing AHP research model(4 layers and 36 elements), based on grasp of the transitional aspect of industrial scale and business environment through analysis of various industrial statistics, preceding research such as related literature search and (industrial/academic/R&D/government) specialist opinion investigation, and then calculating relative importance and priority of each factor(element) within each layer. And for raising usefulness and availability of the research result by concretely suggesting the vision, strategies, core tasks and detailed projects in which the research model and deduced result are reflected.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.61-86
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• 2006

The main purpose of this study is to conceptualize and investigate the relationships between the antecedents and outcomes of customer satisfaction and the linking variables of brand preference and repurchase intention in service industries. To achieve this objective, the study tries to validate the structural equation model and causal relationships among the model's elements involving antecedents to customer satisfaction(perceived quality, value, equity), consequences(brand preference, repurchase intention), and moderating variable/switching cost, customer loyalty). Empirical findings are as follows: First, the effect of two antecedents/perceived quality and value) on customer. satisfaction was accepted but perceived equity was rejected. Second, I found out that there were direct or indirect relationships between the mediating variables/switching cost, customer loyalty, brand preference) and repurchase intention. This means that the proper management concerned with indirect path is probably more important for the success of services industries. Third, the direct effects of customer satisfaction and switching cost on repurchase intention were not significant against the existing studies excepting brand preference. This implies that repurchase intention was mainly intensified by the indirect path, 'customer loyalty${\rightarrow}$brand preference${\rightarrow}$repurchase intention' and 'switching cost${\rightarrow}$brand preference${\rightarrow}$repurchase intention.' The service marketers make efforts not only to strengthen the direct casual linkage but also to consolidate the indirect connections leading to create repurchase intention. Finally, the proper management of these structural relationships will help clarify the role of service marketer resulting in increasing sustainable competitive advantage in service industries.

• Journal of Arbitration Studies
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• v.24 no.1
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• pp.3-24
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• 2014

The Arbitration Act of Korea entered into force on December 31, 1999. It was modeled after the UNCITRAL Model Arbitration Law to meet the goal of the internationalization of the arbitration system of South Korea mainly in terms of the System (Alternative Dispute Resolution) Act. In general, a hearing of arbitration is made up of an arbitrator, claimant, and respondent. This is accomplished in a single core. The advantages of arbitration are low cost and confidentiality. In addition, there is the participation of experts and rapidity with a single core agent. However, under the current Arbitration Act, there is no provision expressly relating to the qualifications of arbitrators. This should be accomplished by the arbitration act enforcement ordinance. Following specific details of the 'party' in conjunction with all the provisions of the Arbitration Act, Article 1 should be revised in a timely manner so that "conflict of private law" covers cases in which a dispute between the parties is desirable. In addition, in Article 3 the phrasing of "also dispute 'judicial'" should be revised to over disputes between parties. Furthermore, the provisions of Article 40 are described in the Supplement and so it is preferable to address Supplementary Delete. In addition, this study will analyze ADR in Japan and present a plan to establish a law to resolve disputes outside of court in that country. Therefore, the objective of this study is to assist in the study of legislating fundamental law for alternative dispute resolution. In spite of this, there are many in business and academia who would like to modify the arbitration system in South Korea to improve its function. There is much interest in accomplishing this,so proposals for legislation should continue to be made.In order to accomplish this, the arbitration systems of developed countries such as the United States can be used as a model. It can be seen that despite the idea that the parties involved engage in arbitration autonomously, many elements of the process from the selection of the arbitrator of the arbitral tribunal are specified in legislation and thus it is necessary to develop legislation that will allow arbitration to perform its intended function. Any given arbitral tribunal can be specialized, typically in a case an arbitrator who is an expert in the field is selected. This helps to avoid complaints concerning the results of the arbitration. In the case of international arbitration, however, this provision is often not employed and instead it is necessary to provide a Schedule and Supplement concerning international arbitration. Finally, the promotion of the enactment of the Arbitration Law Enforcement Ordinance must be a top priority in order to ensure proper implementation of the arbitration law.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.991-1002
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• 2004

Online game business has emerged as the most lucrative entertainment industry, with over 20 million platers. The popularity of online games can be attributed to the presence of numerous PC Bangs around the country, which have pushed online games into the mainstream culture while broadband internet services facilitated online game play. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the online game market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors are strategically important for successful development of online games. A conceptual framework is proposed, and a structural equation modeling, for Identifying the factors affecting the market success of online games, is developed. The concept of online game community, idea generation, systematic development strategy, flexible development process, utilizing demo-version, outsourcing, etc, are ail introduced into the model, as the independent variables affecting the success level of online games directly and indirectly. Based on data collected from questionnaire survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between these variables. Statistical results show that utilizing online game community and system atic development strategy is the key for successful online game development. Other interesting results concerning game development strategy are also provided. It is hoped that this result might provide the useful guidelines for developing the successful online game contents. With a better understanding of key success factors, online game developers should be able to make adjustments in their development and marketing plans, providing them with a sustainable advantage over their competition.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.73-85
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• 2014

As the importance of big data analysis increases to improve the competitiveness of a corporate, a unified big data project development methodology is required in order to study the problem of a corporate in a systematic way and evaluate the problem w.r.t. a business value after solving the problem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) which are integrated methodology of software development and project management for easier application into a field project. SDAD consisits of 6 stages(problem definition stage, data preparation stage, model design stage, model development stage, result extraction stage, service development state), each stages has detailed processes(47) and productions(93). SDAD, furthermore, unified previous ISP, DW, SW development methodologies in terms of the data analysis and can easily interchange the productions with them. This paper, lastly, introduces a way to assign responsible persons for each process and provide communication procedures in RACI chart to improves the efficiency of the interaction among professionals from different subjects. SDAD is applied to a Bigdata project in Korea Employment Information Services institution and the result turned out to be acceptable when evaluated by the supervision.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.05a
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• pp.47-47
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• 2010

Over the past 20 years, constant progress in noise and vibration (NVH) engineering has enabled to constantly advance quality and comfort of operation and use of really any products - from automobiles to aircraft, to all kinds of industrial vehicles and machines - to the extend that for many products, supreme NVH performance has becomes part of its brand image in the market. At the same time, the product innovation agenda in the automotive, aircraft and really many other industries, has been extended very much in recent years by meeting ever more strict environmental regulations. Like in the automotive industry, the drive towards meeting emission and CO2 targets leads to very much accelerated adoption of new powertrain concepts (downsizing of ICE, hybrid-electrical...), and to new vehicle architectures and the application of new materials to reduce weight, which bring new challenges for not only maintaining but further improving NVH performance. This drives for innovation in NVH engineering, so as to succeed in meeting a product brand performance for NVH, while as the same time satisfying eco-constraints. Product innovation has also become increasingly dependent on the adoption of electronics and software, which drives for new solutions for NVH engineering that can be applied for NVH performance optimization of mechatronic products. Finally, relentless pressure to shorten time to market while maintaining overall product quality and reliability, mandates that the practice and solutions for NVH engineering can be optimally applied in all phases of product development. The presentation will first review the afore trends for product and process innovation, and discuss the challenges they represent for NVH engineering. Next, the presentation discusses new solutions for NVH engineering of products, so as to meet target brand values, while at the same time meeting ever more strict eco constraints, and this within a context of increasing adoption of electronics and controls to drive product innovation. NVH being very much defined by system level performance, these solutions implement the approach of "Model Based System Engineering" to increase the impact of system level analysis for NVH in all phases of product development: - At the Concept Phase, to be able to do business case analysis of new product concepts; to arrive at an optimized and robust product architecture (e.g. to hybrid powertrain lay-out, to optimize fuel economy); to enable target cascading, to subsystem and component level. - In Development Phase, to increase realism and productivity of simulation, so as to frontload virtual validation of components and subsystems and to further reduce reliance on physical testing. - During the final System Testing Phase, to enable subsystem testing by a combination of physical testing and simulation: using simulation models to simulate the final integration context when testing a subsystem, enabling to frontload subsystem testing before final system integration is possible. - To interconnect Mechanical, Electronical and Controls engineering, in all phases of development, by supporting model driven controls engineering (MIL, SIL, HIL). Finally, the presentation reviews examples of how LMS is implementing such new applications for NVH engineering with lead customers in Europe, Asia and US, with demonstrated benefits both in terms of shortening development cycles, and/or enabling a simulation based approach to reduce reliance on physical testing.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.570-581
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• 2015

In recent years, many institutions predict that cloud services and big data will be popular IT trends in the near future. A number of leading IT vendors are focusing on practical solutions and services for cloud and big data. In addition, cloud has the advantage of unrestricted in selecting resources for business model based on a variety of internet-based technologies which is the reason that provisioning and virtualization technologies for active resource expansion has been attracting attention as a leading technology above all the other technologies. Big data took data prediction model to another level by providing the base for the analysis of unstructured data that could not have been analyzed in the past. Since what cloud services and big data have in common is the services and analysis based on mass amount of data, efficient operation and designing of mass data has become a critical issue from the early stage of development. Thus, in this paper, I would like to establish data processing architecture based on technological requirements of mass data for cloud and big data services. Particularly, I would like to introduce requirements that must be met in order for distributed file system to engage in cloud computing, and efficient compression technology requirements of mass data for big data and cloud computing in terms of cost-saving, as well as technological requirements of open-source-based system such as Hadoop eco system distributed file system and memory database that are available in cloud computing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.268-277
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• 2020

This study emphasizes that the survival strategy of universities should be a co-evolution strategy based on ecological thinking. Therefore, the purpose of the research is to present a theoretical framework for dividing the university innovation ecosystem into four stages and building a co-evolution strategy for each step, as universities play a prominent role in regional innovation ecosystems. Thus, our research method focused on literature research, and the theoretical framework for the university innovation ecosystem used Moore's Enterprise Ecosystem Model (1996). The university's ecological innovation strategy is divided into four stages of development, and a step-by-step co-evolution strategy is presented. Findings are summarized as follows. The pioneering stage involves the creation of values of the university-led innovation ecosystem. The expansion stage focuses on the establishment of critical mass. The authority stage covers maintaining authority and bargaining power. The renewal stage features continuous performance improvement. In particular, this theoretical model of the university-regional innovation ecosystem is meaningful in that it provides a theoretical basis for enhancing the effectiveness of government financial support projects, and for individual universities, it provides a framework for strategies suitable for their ecosystem building process.