• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.81-94
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• 1999

Organization change projects such as Business Process Redesign(BPR) have been implemented by many firms for enhancing their organizational performance. However, management is reluctant to initiate these projects due to enterprise-wide impact and steeper project cost than the traditional system development projects. Thus, there emerges a need to accurately assess the value of the redesigned organizational process for the successful implementation of BPR projects. The purpose of this study is to assess the value of process redesign in the point of resource utilization and allocation, and cycle time and cost reduction. The candidate process and the design alternatives are identified from organizational requirements analysis. The variables and their relations are defined to perform task activity analysis, bottleneck analysis, cycle cost analysis, and resource utilization analysis. A Case study of a manufacturing company indicates that the assessments method proposed in this study is a promising approach to identify the business alternative process that lead to the highest organizational performance.

• The Journal of Society for e-Business Studies
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• v.7 no.2
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• pp.173-190
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• 2002

Over the past decade, numerous software managers and engineers have been concerned with measuring the size and complexity of software systems. Function point analysis technique is one of the most popular software sizing techniques. A reasonable software development plan through cost and time estimation should be a prerequisite for the successful project at the beginning stage of the project. It is generally known that software size measurement is useful for this kind of estimation and the function point analysis technique would be more effective than the others. However, it is difficult to apply the technique to object-oriented methodology widely used in the software industry. Thus, the purpose of this study is to present a case study on how to apply function point analysis technique to sizing of the software systems based on UML. The results of this study can be useful to managers and engineers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.9-25
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• 2014

It is very important to select the best employees who are suitable for their jobs and duties as considering the efficiency and productivity of the firms' performance. As a result, many kinds of selection methodologies and systems have been developed. Among them is the selection system based on the core competencies which is known as the superior selection systems that can increase the predictive validity who is the right people, compared to the traditional selection system based on the job analysis. Hence, the former has been focused in the complex business situation in recent years. In this case study, we examine the selection system case based on the core competencies of OSS team in Company A, which is one of the largest telecommunication firms and we suggest the implications. According to the results of this case study, defining the core competencies of the job and selecting the right people who had the related competencies not only decreased the turnover rate of OSS team in Company A, but also increased the employees' loyalty and satisfaction for the organizations. This study will be a benchmark to other departments that don't use competency selection system of Company A as well as the firms that want to adapt the selection system based on the core competencies. Also, this case study has a contribution that shows us an alternative model how can the firms identify and select the best right employees.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.4
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• pp.432-442
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• 2012

This study investigated the practical use of educational subjects and contents of materials in the fashion industry field and analyzed all data from respondents depending on business area and years of work in order to develop appropriate educational methods and courses. The survey was conducted with 151 questionnaires; 148 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, and ANOVA. The factors of educational subjects for Clothing and Textiles were classified into three categories of product planning, manufacturing and basic information, and manufacturing-related subjects (including materials); subsequently, these showed a high practical use in the fashion business. There were significant differences in the practical use of educational subjects that depended on business areas and years of work for respondents. In the case of education of materials, the contents of fibers, knit fabrics and textile planning were used the most in various business areas; in addition, there were also significant differences in the practical use of knits, textile care, textile planning and trade, and textile retailing depending on business area.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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• pp.435-440
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• 2004

Most of our GIS implementation activities have been focussed on the management of urban information in local municipalities. Management of urban facilities has been the major issue of concern and has little role in providing the decision maker with alternatives from which one can analyse and choose the optimum solution. For this reason, the spatial decision support system is in need. Business analysis software is effectively used for site analysis of new stores, customer prospecting and other issues of decision making for business purposes, The same geoprocessing module of business analysis software would be useful if put to use for the management of disaster management especially for storm surge management. Application of the business analysis model for disaster management has been reviewed. Specially in case of storm surge, where quick response is crucial, the spatial decision support system will be most effective.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.181-195
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• 2019

This study aims to investigate the influencing attributes on price fairness in the domain of fast food service context. As the research subject, this research selects McDonald's business because of its market share in the fast food market. Five attributes are examined to account for price fairness. The attributes are advertising attitude, employee service, waiting, convenience, and brand love. This study performed survey to collect the data. The survey participants are university students because they are essential market segment for fast food business. The number of observation is 299 for the data analysis. To analyze the data, this research used various statistical instruments (e.g., frequency analysis, mean and standard computation, exploratory factor analysis, reliability test, correlation matrix, and multiple regression analysis). Regarding the results, this research identified advertising attitude, employee service, and brand love are influential attributes to establish price fairness of university students. This research could inform the marketing director of food service business to understand university students target better.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.53-60
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• 2021

Foreign direct investment (FDI) is especially important for developing countries. This study investigates the determinants of FDI in the case of Indonesia. Most empirical researches in this field used time series data of a single country or panel data of several countries. Although panel data analysis is more comprehensive, however results taken from cross-country analysis cannot be directly applied to any specific country in the dataset and therefore lacks practicality. In this research, panel data analysis of a single country is performed to overcome the aforementioned shortcomings. Five determinants of FDI are tested using panel data of 33 Indonesian provinces over 10-year period of time. Two methodologies are adopted, random/fixed effects model and Granger Causality. The results show that only market size significantly affects FDI when tested using both methodologies. Human capital and financial market development show significant result in one of the two methodologies. While, economic growth and infrastructure did not show any significant results at all. This research stresses the importance of comprehensive single country analysis since only one out of five commonly discussed determinants is applicable in the case of Indonesia. Governments should therefore carefully reconsider the use of cross-country analysis as a basis of their policy formulations.

• Asian Journal of Business Environment
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• v.9 no.1
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• pp.29-31
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• 2019

Purpose - The aim of this paper is to examine the newly formed a partnership of Amazon, Berkshire Hathaway (Berkshire) and JPMorgan through the lens of strategic alliance, corporate philanthropy, and corporate social responsibility. Research design, data, and methodology - This is an analytical case study that examines the existing scholarly articles in strategic alliances, corporate philanthropy, and corporate social responsibility to explain the recent strategic alliance. Results - There is a clear limitation in explaining this type of unconventional strategic alliance with exiting definitions and concepts because there is no existing study or case available today. Forming a strategic business alliance to create and operate healthcare for their domestic employees could be viewed as a social innovation that resulted from an effort to resolve a social problem, the ineffective healthcare system in the U.S., rather than focusing on business benefits and profits. Conclusions - The success or failure of this type of business alliance would certainly affect the current healthcare system of the United States and global businesses and healthcare industries in the future. However, just entering or tapping into uncharted territory by these three companies to deal with a social issue is significant enough to merit further exploration and analysis for scholars and practitioners.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1071-1078
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• 2005

Use case modeling is a widely used technique for functional requirements analysis of business system but it is difficult to identify a use cases at the right level and use case specifications are too long and confusing. It is also hard to determine a functional decomposition Phases·s of use cases. Therefore customer doesn't understand the use cases. This paper is defining concept of the Information Structure Modeling(ISM) and analyzing business system for the customer's perspective. ISM is an efficient mechanism for analyzing user requirements and for Identifying objects in a business system using Attribute Structure Diagram which is a major tool of the ISM that describes user event. This paper is also to show how the classes are classified and derived as event-asset-transaction type in ISM. It provides a user-friendly approach to visually representing business model.