• Korean Management Science Review
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• v.19 no.1
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• pp.189-196
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• 2002

Data clustering is often one of the first steps in data mining analysis. It Identifies groups of related objects that can be used as a starling point for exploring further relationships. This technique supports the development of population segmentation models, such as demographic-based customer segmentation. This paper Purpose to present the development of two phase hierarchical clustering algorithm for group formation. Applications of the algorithm for product-customer group formation in customer relationahip management are also discussed. As a result of computer simulations, suggested algorithm outperforms single link method and k-means clustering.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.27-29
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• 2009

Real-time control of on-site construction, based on high quality data, is essential to identify discrepancies between actual and planned performances. Additionally, real-time control enables timely corrective measures to be taken when needed to reduce the damages caused by the discrepancies. The focus of the presentation will be on our work, which uses automated data technologies to collect data needed for real time control.

• Asia Marketing Journal
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• v.18 no.1
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• pp.1-22
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• 2016

Studies in key account management (KAM) have identified the importance of cross-functional coordination in firms to effectively implement KAM. However, these studies have ignored how companies integrate KAM and other customer management (non-KAM). This paper explores coordination design between KAM units and non-KAM units by analyzing a case study through three dimensions: front-end coordination, back-end-coordination, and organizational translation at the beginning of research. The case study shows that non-KAM conditions can require a modification of the coordination design. This research performs an in-depth analysis of changes in the implementation of sales reforms for an IT-related machinery and system vendor in Japan. Data sources include interviews with KAM units and non-KAM sales units and an analysis of secondary data. This paper suggests that studying the coordination between KAM units and non-KAM units will further our understanding of internal coordination in KAM research.

• The Journal of Korean Association of Computer Education
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• v.13 no.2
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• pp.71-80
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• 2010

This study has its purpose on analyzing the problems of data connection between general management institution and itemized management institution shown through the college information disclosure project and presenting the plan to substantialize data connection between general management institution and itemized management institution. To make close inquiry into the related problem and induce plans for substantialization, this study analyzed the previous related research data as well as the connection status of information disclosure item of Korea Foundation for the Promotion of Private School, the itemized management institution, to induce problems; induced substantialization plan for data connection of itemized connection institution. As for the substantialization plan based on such, plan to integrate schools and department codes, plan to automatize data connection and plan to secure reliability of information were established. It is anticipated that the plan to substantialize data connection between management institutions reckoned through the result of this study would be used as the basic data for information disclosure project providing various reliable information from Ministry of Education, Science and Technology, General management institution, itemized management institution and college.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.4
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• pp.153-161
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• 2021

Real-time access is required to handle continuous and unstructured data and should be flexible in management under dynamic state. Platform can be built to allow data collection, storage, and processing from local-server or multi-server. Although the former centralize method is easy to control, it creates an overload problem because it proceeds all the processing in one unit, and the latter distributed method performs parallel processing, so it is fast to respond and can easily scale system capacity, but the design is complex. This paper provides data collection and processing on one platform to derive significant insights from various data held by an enterprise or agency in the latter manner, which is intuitively available on dashboards and utilizes Spark to improve distributed processing performance. All service utilize dockers to distribute and management. The data used in this study was 100% collected from Kafka, showing that when the file size is 4.4 gigabytes, the data processing speed in spark cluster mode is 2 minute 15 seconds, about 3 minutes 19 seconds faster than the local mode.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.53-74
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• 2022

Purpose - This study aims to examine the relationship between flexible Human Resource Management (HRM) and individual ambidexterity and the moderating effect of trust in management. Design/methodology/approach - This study collected 971 survey data from employees in Korea. The Confimatory Factor Analysis (CFA) and the multiple regression analysis were used to analyze the data. Findings - First, the flexible human resource management have a positive effect on individual ambidexterity. Second, trust in management positively moderate the relationship between flexible human resource management and individual ambidexterity. Research implications or Originality - First, this study is critical that it examines individual ambidexterity and antecedent factor, which have not been relatively researched in Korea. This study is meaningful in that it revealed that the individual ambidexterity can be increased through flexible human resource management. Second, individual ambidexterity may vary depending on the characteristics of the human resource management system. Third, it is important to find the boundary condition of trust in management. By finding conditions that enhance the effect of flexible human resource management on individual ambidexterity, it also provides practical implications applicable to companies.

• The Journal of Industrial Distribution & Business
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• v.13 no.11
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• pp.1-10
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• 2022

Purpose: This study measures the influence of facilitating conditions on employees' attitudes towards the adoption of big data analytics by selected medical aid organizations in Durban. In the health care sector, there are various sources of big data such as patients' medical records, medical examination results, and pharmacy prescriptions. Several organizations take the benefits of big data to improve their performance and productivity. Research design, data, and methodology: A survey research strategy was conducted on some selected medical aid organizations. A non-probability sampling and the purposive sampling technique were adopted in this study. The collected data was analysed using version 23 of Statistical Package for Social Science (SPSS) Results: the results show that the "facilitating conditions" have a positive influence on employees' attitudes in the adoption of big data analytics Conclusions: The findings of this study provide empirical and scientific contributions of the facilitating conditions issues regarding employee attitudes toward big data analytics adoption. The findings of this study will add to the body of knowledge in this field and raise awareness, which will spur further research, particularly in developing countries.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.101-120
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• 2019

The cognition of Research Record Management (RRM) scholars about research framework is important as a pre-condition for future Linked Open Data (LOD). Researchers will be directly engaged to the research data-process with Cloud Computing Data-Infra, which is considered as a Nation-wide R&D Data Projects. The purpose of this paper is to diagnose researcher's cognition of research framework and to provide some guidance of finding a new meaning of the structural requirements of resarch record.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.221-237
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• 2016

The wireless body area networks (WBANs) consist of wearable computing devices and can support various healthcare-related applications. There exist two crucial issues when WBANs are utilized for healthcare applications. One is the protection of the sensitive biometric data transmitted over the insecure wireless channels. The other is the design of effective medical management mechanisms. In this paper, a secure medical information management system is proposed and implemented on a TinyOS-based WBAN test bed to simultaneously address these two issues. In this system, the electronic medical record (EMR) is bound to the biometric data with a novel fragile zero-watermarking scheme based on the modified visual secret sharing (MVSS). In this manner, the EMR can be utilized not only for medical management but also for data integrity checking. Additionally, both the biometric data and the EMR are encrypted, and the EMR is further protected by the MVSS. Our analysis and experimental results demonstrate that the proposed system not only protects the confidentialities of both the biometric data and the EMR but also offers reliable patient information authentication, explicit healthcare operation verification and undeniable doctor liability identification for WBANs.

• International Journal of Quality Innovation
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• v.6 no.3
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• pp.70-94
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• 2005

The IC packaging industry heavily relies on shop floor information, necessitating the development of a model to flexibly define shop floor information and timely handle manufacturing data. This study presents a novel data model of product manufacturing flow to define shop floor information to effectively respond to accelerated developments in IC package industry. The proposed data model consists of four modules: operation template setup, general process setup, enhanced bill of manufacture (EBOMfr) setup, and work-order process setup. The data model can flexibly define the required shop floor information and decision rules for shop floor product manufacturing flow, allowing one to easily adopt changes of the product and on the shop floor. However, to handle floor dynamics of the IC packaging industry, this work also proposes a WIP (i.e. work-in-process) system for monitoring and controlling the product manufacturing flow on the shop floor. The WIP system integrates the data model with a WIP execution module. Furthermore, an illustrative example, the MIRL WIP System, developed by Mechanical Industrial Research Laboratories of Industrial Technology Research Institute, demonstrates the effectiveness of the proposed model.