Information technology(IT) is changing rapidly based on growth of internet and computer businesses. Therefore, computer programs and softwares are distributed to computer users promptly for their productivity increase and efficient work. So, in the distribution, the softwares will be copied or released through network or other methods which are not authorized by the program owners. In that case, copyright dispute is incurred and various issues are come out due to infringement of the software copyright. Thus, the purpose of this study is to research infringement cases of the software copyright and how to settle the dispute which is related with software programs. To achieve the purpose of this study, this research consisted of 5 chapters. At chapter 1 introduction, it mentioned necessity of this study, purpose and how to research this study, and at chapter 2 dispute factors indicated and summarized for technical resolution. At chapter 3, infringement cases of software copyright analyzed and studied upon intellectual property(IP) related laws. And methods of dispute settlement discussed and suggested to chapter 4 for copyright and intellectual property protection. Also, it emphasized importance of arbitration to resolve the issues timely and avoid time and economical consumption. Of course, arbitration law has to be matched with the trend of technology development for effective settlement. At chapter 5 conclusion, it summarized this research and suggested further research for empirical test of economic value of the software copyright upon the aspect of business, law, and engineering. In this study, the results are 1) IP related laws have to be enacted or revised to meet technical changes for the protection of software copyright on time. The enactment or the revision of law takes a long time, therefore, to deal the dispute effectively, 2) arbitration law has to be utilized efficiently in order to resolve issues and settle the dispute promptly. It is suggested the dispute settlement through arbitration to save time and economic matters for legislation, and to harmony with the technology trends. 3) Recognition of software copyright is to be improved by users and enterprises for development of software related industries and intellectual property protection. In conclusion, the protection of software copyright is important than any other things in the field of IT because of the development of industry and intellectual property related laws. The development is for areas of business, law and engineering, so research and practices are to be combined with the areas so that it could resolve the dispute settlement and IP protection effectively.
More recently, RFID (Radio Frequency Identification) systems have begun to find greater use in various industrial fields. The use of RFID system in these application domains has been promoted by efforts to develop the RFID tags which are low in cost, small in size, and high in performance. The RFID applications enable the real-time capture and update of RFID tag information, while simultaneously allowing business process change through real-time alerting and alarms. These be developed to monitor person or objects with RFID tags in a place and to provide visibility and traceability of the seamless flows of RFID tags. In this time, the RFID readers should be placed in diverse locations, the RFID flows between these readers can be tested based on various scenarios. However, due to the high cost of RFID readers, it may be difficult to prepare the similar environment equipped with RFID read/write devices. In this paper, we propose a simulator to allow RFID application testing without installing physical devices. It can model the RFID deployment environment, place various RFID readers and sensors on this model, and move the RFID tags through the business processes. This simulator can improve the software development productivity by accurately testing RFID middleware and applications. In addition, when data security cannot be ensured by any fault, it can decide where the problem is occurred between RFID hardware and middleware.
Social commerce is a new internet business model which are types of joint purchase, social link, promotion, and on-off association etc. The recent public organization has the dual target to increase sound finance, and to improve customer satisfaction and the quality of public service. The purpose of this study is to propose the strategy of public social commerce which makes it's customers become positive purchasers. We analyzed 31 public organizations, and found that the type of social link interlocking with SNS site in the various purpose of public, and the offline association type using the service of location base would be utilized very highly. We also found that the joint purchase type and the promotion type would be used in the area of public and private selective services intending to make a profit. The anticipated performance are as follows: rapidity and reliance, customer made thing and goodwill, convenience for the service environment quality, publicity and diffusion, and sales promotion, productivity increase and new finding of revenue model for the profit increase outcome.
Under the quickly changing health care environment in our society competitions among hospitals are getting harder and accordingly the hospital authorities do their best efforts to renovate their hospital management and let directors of food and nutrition services in hospital be seeking the drastic changes in their clinic-support operations. To attain this end it is essential to build an information system in food and nutrition services in hospital for practicing those operational changes efficiently. By building an information system we can totally manage a number of information about hospital food and nutrition services. This kind of information system can not only relieve dieticians and food-service workers from their repetitively routine jobs, but also connect with hospital management information systems organically. Resultantly productivity in this service area can be improved and the efficiency of hospital management will be increased. And accordingly the competitive advantage of the hospital can be greater than ever and that brings patients' and hospital employees' satisfaction. I would like to name this kind of information system for hospital food and nutrition services "TASTY", abbreviated from "Time-based Advanced Service Technology for Yong-Dong Severance Hospital, Nutrition Department" There are one basic information management area and five business management areas in TASTY. Five specific business areas are divided by menu, procurement, clinical nutrition service, production(including distribution and meal service), and financial management.inancial management.
This study focused on the concept of organizational learning as a prior variable of innovation activities, and reviewed the relationship between organizational learning, innovation and management performance. According to prior studies, the ability to perform these activities may be enhanced through organizational learning, as the success of the innovation requires activities to acquire and share knowledge within the organization. In other words, organizational learning is playing a role as a precursor to innovation. Therefore, in this study, the effects of organizational learning on management performance are to be verified through the mediation effect of product and innovation activities. Organizational learning provides various definitions and components for each scholar, but this study consisted of a series of knowledge acquisition, information distribution, information analysis and process memory using the framework of the learning ability analysis by Levitt and March(1988) and Huber(1991), Innovation was also divided into product innovation and process innovation, and measured with sub-variables such as presentation of new products and improvement activities to increase productivity. Management performance was measured as financial and non-financial performance. To verify the effects of the mediation, we used a three-step regression analysis procedure of Baron and Kenny(1986)'s and a sobel-test. Empirical studies show that organizational learning has a positive effect on management performance and that knowledge acquisition and information distribution, which are the early stages of learning activities in the lower variables, affect performance through product innovation. Based on the results of the above empirical study, the implications, limitations of the study and future research directions were presented.
In this research, we explore the effects of changes in industrial structure due to industrial restructuring on employment and growth in the Korean economy. To that end, we first investigate the impact of industrial restructuring on employment through Lilien's sectoral shift hypothesis, considering the dependence of industrial restructuring on business cycles. As a result of the analysis, we find that changes in the industrial structure have exerted a short-term effect of increasing unemployment, and that the effects of industrial restructuring are even greater during the economic downturn period. In light of these points, Lilien's sectoral shift hypothesis seems to be valid in Korea. Next, we examine the effect of industrial restructuring on economic growth in Korea by analyzing which one, between the Kuznetz hypothesis and the Baumol effect, is dominant. Empirical results reveal that the mid- to long-term effect of industrial restructuring on GDP growth is significant, which is in accordance with the Kuznets hypothesis, where resource allocation along with industrial restructuring to sectors with high productivity spurs economic growth.
Journal of the Korea Society of Computer and Information
/
v.14
no.9
/
pp.135-145
/
2009
Generally, the phases of constructing information systems are consisted of systems planning and selection, system analysis, system design, and system implementation and operation. These systems require many efforts and costs for additional development of modification requirements due to a frequent changes of business environments and business processes. Especially, inconsistencies between system design and system implementation usually happen during development steps because of the difficulties of program developments due to difficulties of capturing exact user requirements and frequent changes of user requirements. This paper proposes a scheme of implementing meta-data based applications for enterprises in order to reduce inconsistencies between system design and system implementation and to overcome limits of the existing coding-based development methods of applications which must use until disuse if they are developed once. Also, this paper presents a framework of repository system to systematically manage and utilize meta-data. The core concept of the proposed scheme makes outputs generated in the phases of system analysis and design into meta-data and is to easily develop and customize application programs using meta-data repository. Also, to show the applicability of the proposed scheme, it is applied to implement ERP system of 'H' automotive part manufacturer. As a result, the proposed scheme can gain improvements such as easiness and productivity of program development, easiness of maintenance, reusability of program components, etc.
As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.
Mindfulness is the process of actively noticing new things. Today, companies have introduced and run mindfulness programs because the mindfulness has possible applications of productivity and innovation in corporation. However, role of mindfulness has not been clearly investigated in behavior research of Information System. The purpose of this study is to confirm the effects of mindfulness on technology acceptance process. Based on UTAUT Model, we examined how mindfulness in technology acceptance process moderate antecedent factors of acceptance intentions and use behavior. For empirical research, we conducted a survey on acceptance of smart watch of internet of things for employees of companies applying the mindfulness programs. then, we analyzed survey sample in empirical methodologies. Based on the empirical analysis, cognizance of alternative technologies in mindfulness factors increased the impact of performance expectancy on acceptance intention. Novelty seeking in mindfulness factors increased the impact of effort expectancy on acceptance intention. Awareness of local context in mindfulness factors decreased the impact of social influence on acceptance intention. engagement with technology in mindfulness factors increased the impact of facilitating conditions on use behavior. This study suggests academic implications and practical implications based on the results of the research. The implications will help to support and extend the theory of technology acceptance model while providing practical insights for IT acceptance by suggesting ways to utilize mindfulness in corporation.
In the Fourth Industrial Revolution era, global powers are enhancing R&D support to leverage innovations like AI, IoT, and big data for productivity gains and structural economic and social reforms. Yet, the declining R&D budget growth rate and the forecasted sharp cut in South Korea's R&D budget in 2024 highlight the critical need for national R&D performance management system discussions. Diverging from previous studies focused on quantitative analysis of performance determinants, this research utilizes fuzzy set qualitative comparative analysis(fsQCA) to explore the interplay of factors affecting research institutions' outcomes comprehensively. Analyzing data from 2018 to 2022, it examines three outcome types of research institutions, identifying factor combinations crucial for success. By pinpointing these factors' configurations, the study offers institution-specific performance enhancement guidelines and insights for national R&D policy management and performance evaluation efficiency.
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