• Asia-Pacific Journal of Business
• /
• v.14 no.1
• /
• pp.281-294
• /
• 2023

Purpose - The purpose of this study is to explore the determinants of the organizational level for the advancement of smart factory. We suggested three determinants of the organizational level such as CEO's entrepreneurship, high-involvement human resource management, and cooperative industrial relations. Design/methodology/approach - The population of our survey was manufacturing SMEs, and we took a sample and conducted a survey of 232 companies. Since the level of smart factory advancement, which is a dependent variable, was measured on an ordinal scale, ordinal logistic regression analysis was used to test the hypothesis. Findings - The higher the level of high-involvement human resource management, the higher the level of smart factory advancement. As the level of high-involvement human resource management increases by one unit, the probability of smart factory advancement increases by 22.8%. On the other hand, the CEO's entrepreneurship did not significantly affect the level of smart factory advancement. Interestingly, the cooperative industrial relations negatively affected to the level of smart factory advancement, contrary to the hypothesis prediction. Research implications or Originality - This study explored determinants at the organizational level that affect the advancement of smart factories. Through this, various implications are presented for related research and policy fields.

• Journal of Information Technology Applications and Management
• /
• v.29 no.6
• /
• pp.1-12
• /
• 2022

In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.

• Journal of the Korean Society for Library and Information Science
• /
• v.43 no.4
• /
• pp.193-215
• /
• 2009

A more sophisticated library collection policy is required due to the changing information environment. Both traditional resources and diversified networked information resources are increasing continuously. The National Library of Korea should construct a systematic collection development policy in order to fulfill its mission. The purpose of this study is to develop a basic framework that is intended to improve the coverage of national collection. Examining previous studies and the national collection development policies of major advanced countries, a model consisting of four sub-models has been proposed. It includes hybrid collection, cooperative linking collection, collection evaluation, and a collection policy statement. Details of the sub-models and strategies are described.

• Journal of Korean Society for Atmospheric Environment
• /
• v.29 no.1
• /
• pp.105-115
• /
• 2013

The Korean government amended the Environmental Technology and Industry Support Act to foster the environment industry and support the advancement of domestic environmental companies into overseas markets. The amended act reflects changes in the government's policies on environment related issues. This paper uses outcomes of research conducted on environmental policies in foreign countries and the current status of the domestic environment industry to present long-term strategic plans and measures to support the expansion of environmental companies into the global markets and to vitalize the environment industry at home. The suggestions for assisting domestic companies in making inroads into overseas markets are as follows: building up and expanding cooperative network; fostering promising companies and exports by making the right choices and focuses; diversification of export markets and strengthening supports for development of new customers; promoting supports for winning overseas projects; and developing cooperative projects to respond to climate change in developing countries using the Global Climate Fund (GCF).

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.5
• /
• pp.2319-2337
• /
• 2019

In this paper, we study the distributed cooperative caching for Internet content providers in a small cell of heterogeneous network (HetNet). A general framework based on bankruptcy game model is put forth for finding the optimal caching policy. In this framework, the small cell and different content providers are modeled as bankrupt company and players, respectively. By introducing strategic decisions into the bankruptcy game, we propose a caching value assessment algorithm based on analytic hierarchy process in the framework of bankruptcy game theory to optimize the caching strategy and increase cache hit ratio. Our analysis shows that resource utilization can be improved through cooperative sharing while considering content providers' satisfaction. When the cache value is measured by multiple factors, not just popularity, the cache hit rate for user access is also increased. Simulation results show that our approach can improve the cache hit rate while ensuring the fairness of the distribution.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.09a
• /
• pp.166-169
• /
• 2003

Reinforcement learning if a kind of machine learning. It aims to adapt an agent to a given environment with a clue to a reward and a penalty. Q-learning [8] that is a representative reinforcement learning system treats a reward and a penalty at the same time. There is a problem how to decide an appropriate reward and penalty values. We know the Penalty Avoiding Rational Policy Making algorithm (PARP) [4] and the Penalty Avoiding Profit Sharing (PAPS) [2] as reinforcement learning systems to treat a reward and a penalty independently. though PAPS is a descendant algorithm of PARP, both PARP and PAPS tend to learn a local optimal policy. To overcome it, ion this paper, we propose the Multi Best method (MB) that is PAPS with the multi-start method[5]. MB selects the best policy in several policies that are learned by PAPS agents. By applying PS, PAPS and MB to a soccer game environment based on the SoccerBots[9], we show that MB is the best solution for the soccer game environment.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2007.11a
• /
• pp.104-107
• /
• 2007

In this paper, we propose the coordination scheme in a single-manufacturer-multiple-retailer supply chain system. Traditionally, the bargaining power of the single manufacturer is superior to those of retailers. The business environment supported by the e-business scheme may give rise to new business behavior. The multitude of retailer requests the manufacturer to relax the his unilateral lot-sizing policy while they are willing to compensate more than the manufacturer's expected loss caused by abandon his superior bargaining power. The side payment aggregated by the multiple retailers is transferred to the manufacturer according to the degree of the manufacturer's relaxation from the current unilateral lot-sizing policy.

• 한국디지털정책학회:학술대회논문집
• /
• 2004.05a
• /
• pp.179-193
• /
• 2004

Introduction of domestic digital content identification system mean to building district identification by supplying international identification system and interoperability that reflect domestic special state than accept it as it is. This study presented an policy direction for the domestic digital content identification system by the results that analyzed of the identification systems that were commonly used internationally. An identification system is composed to a registration authority, registration agencies, registrants. There should be defined their roles and set up their cooperative system to be able to bring efficiency into more.

• Journal of Digital Convergence
• /
• v.7 no.4
• /
• pp.67-80
• /
• 2009

The research tried to realize the policy which serves Innovation ability for culture-contents producer, and culture-contents producer's Innovation ability which impacts OSMU of contents in the policies of government for vitalizations of culture-contents industry. As a result, we have reached the conclusion that the supportive policies for technology, exports and marketing were effective to strengthen the innovation ability of management of human resource, creation and production area. Also we have found that content's OSMU has been influenced by innovation ability. The implication of this study are followed. First, the policies which are intended to revitalize the culture content industry by government has the effect that are some different ones from the settlement and intention. Second, the production industry of animation do still passive and closed organization management, without the efforts for opened and cooperative management. Therefore, the efforts of government which are more practical and realistic supports to revitalize and based on strategic cooperation of industry.

• Journal of Information Processing Systems
• /
• v.17 no.2
• /
• pp.297-305
• /
• 2021

Large amount of data is being generated in gaming servers due to the increase in the number of users and the variety of game services being provided. In particular, load balancing schemes for gaming servers are crucial consideration. The existing literature proposes algorithms that distribute loads in servers by mostly concentrating on load balancing and cooperative offloading. However, many proposed schemes impose heavy restrictions and assumptions, and such a limited service classification method is not enough to satisfy the wide range of service requirements. We propose a load balancing agent that combines the dynamic allocation programming method, a type of greedy algorithm, and proximal policy optimization, a reinforcement learning. Also, we compare performances of our proposed scheme and those of a scheme from previous literature, ProGreGA, by running a simulation.