• Information Systems Review
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• v.20 no.4
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• pp.25-41
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• 2018

Applying predictive analytics to enterprise processes is an effective way to reduce operation costs and enhance productivity. Accordingly, the ability to predict business processes and performance indicators are regarded as a core capability. Recently, several works have predicted processes using deep learning in the form of recurrent neural networks (RNN). In particular, the approach of predicting the next step of activity using static or dynamic RNN has excellent results. However, few studies have given attention to applying deep learning in the form of dynamic RNN to predictions of process performance indicators. To fill this knowledge gap, the study developed an approach to using process mining and dynamic RNN. By utilizing actual data from a large domestic company, it has applied the suggested approach in estimating timely stocking in purchasing process, which is an important indicator of the process. The analytic methods and results of this study were presented and some implications and limitations are also discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.339-349
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• 2020

The study evaluates the performance of public hospitals in Vietnam by applying the Balanced Scorecard (BSC). The authors first review the literature to find the research gap of performance in public hospitals. Then, we built Likert questionnaires to collect data from more than 200 managers of public hospitals in the Northwestern provinces of Vietnam. The research uses correlation regression to evaluate the performance based on the influence of factors in the BSC model, including Strategic planning, Internal process, Finance, Mission, Customer, and Employee learning and growth. The results show that the performance of public hospitals in the research sample is influenced by the factors in the BSC model in descending order based on the regression coefficient as follows: Internal process, Finance, Mission, Strategic planning, Customer, Employee learning and growth. Based on the quantitative research findings, we continue by conducting some deep interviews with specialty to propose intensive recommendations about how to implement Mission, Internal process, Financial policies, etc. to managers in public hospitals with an aim to improve the performance of public hospitals in the Northwestern mountainous region of Vietnam. The lessons could be applied for other public hospitals in Vietnam and other jurisdictions that have similar conditions.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.438-441
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• 1996

The objective of this study is to select reward measure of improved business results. Grain sharing is defined as a compensation system that is designed to provide for variable compensation and to support an employee involvement process by rewarding the members of a group or organization for improvements in organizational performance. Gains, as measured by a predetermined formula, are shared with all eligible employees, typically through the payment of cash bonuses. Generally sales, profit, value-added, cost reduction portion and otherthings have been used as gains, otherwise improved business results, without any proof which is correlated to productivity improvement. This paper suggests which business result is fit reward measure for each business types and sizes.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1781-1784
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• 2007

The increase of repetition rate, the dithering of laser optics, and the extension of pulse duration time are major approaches in improving the picture quality of AMOLEDs fabricated by excimer laser crystallization (ELC). Advanced solid phase crystallization (ASPC) has been developed to improve the uniformity and the process cost. Even though the mobility of ASPC-TFT is lower than that of ELC-TFT, it is high enough to drive AMOLED pixels.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.117-125
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• 1996

The objective of this study is to select reward measure of improved business results. Ga-in sharing is defined as a compensation system that is designed In provide for variable compensation and to support an employee involvement process by rewarding the members of a group or organization for improvements in organizational performance. Gains, as measured by a predetermined formula, are shared with all eligible employees, typically through the payment of cash bonuses. Generally sales, profit value-added, cost reduction portion and otherthings have been used as gains, otherwise improved business results, without any proof which is correlated to productivity improvement. This paper suggests which business result is fit reward measure for each business types and sizes.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.149-156
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• 2022

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

• IE interfaces
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• v.17 no.spc
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• pp.11-19
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• 2004

The purpose of this study is to identify the determinants of new venture performance according to years of operation in the view of integrated research framework. We propose the integrated new ventures performance model which is composed of entrepreneur, organization/resources, industrial environment, strategy/foundation process and availability of supporting systems as corresponding variables to new ventures performance. The determinants of new venture performance according to years of operation are identified through the multi-variate statistical analysis such as moderating regression analysis with the data gathered from 110 executives of venture companies. For internal variables, entrepreneur's managerial ability and technical expertise and employee's ability affect venture's performance increasingly as years of operation increases but resource procurement ability affects decreasingly. Related to external variables, years of operation plays positive moderating role on market size growth and supporting system availability, but negative role on government venture policy for venture performances. Though this study has limitation of small sample, limited questionnaire and performance measure, it has managerial contribution of identifying determinants of new venture performance according to years of operation.

• Journal of Information Science Theory and Practice
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• v.12 no.3
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• pp.49-62
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• 2024

Strategy monitoring is essential for business management and for administrators, including managers and executives, to build a data-driven organization. Having a tool that is able to visualize strategic data is significant for business intelligence. Unfortunately, there are gaps between business users and information technology departments or business intelligence experts that need to be filled to meet user requirements. For example, business users want to be self-reliant when using business intelligence systems, but they are too inexperienced to deal with the technical difficulties of the business intelligence systems. This research aims to create an automatic matching framework between the key performance indicators (KPI) formula and the data in database systems, based on ontology concepts, in the case study of Prince of Songkla University. The mapping data schema with ontology (MapDSOnto) framework is created through knowledge adaptation from the literature review and is evaluated using sample data from the case study. String similarity methods are compared to find the best fit for this framework. The research results reveal that the "fuzz.token_set_ratio" method is suitable for this study, with a 91.50 similarity score. The two main algorithms, database schema mapping and domain schema mapping, present the process of the MapDS-Onto framework using the "fuzz.token_set_ratio" method and database structure ontology to match the correct data of each factor in the KPI formula. The MapDS-Onto framework contributes to increasing self-reliance by reducing the amount of database knowledge that business users need to use semantic business intelligence.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.758-784
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• 2020

In today's dynamic and hypercompetitive business environment, knowledge and innovation have emerged as bases for sustained competitive advantage. This paper addresses two specific research questions. First, we ask, "What is the effect that firm interactivity has on various types of innovation?" As we address this question, we explain that interactivity helps firms create knowledge, which then promotes and enables innovation. Second, we ask, "How do the various types of innovation impact firm performance?" We develop a research model and a set of hypotheses from the basis of organizational knowledge creation theory and the knowledge-based view of the firm. We test this model using survey data, and find that interactivity is positively associated with innovation. We also find that several types of innovation, including service innovation, process innovation, and organizational innovation have a positive impact on firm performance.

• Journal of Korean Society for Quality Management
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• v.26 no.2
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• pp.61-81
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• 1998

This research studies the role of IT (Information Technology) in improving productivity of a company through samll group activities. For this purpose, this research analyzed the samll group activities of the company as to how IT was employed bo improve business processes. Cases of small group activities that were conducted from January, 1996 to December, 1996 in a Korean company (name withdrawn) were analyzed. Eight out of eleven small group activities have been studied. They were examined as to the effect of IT in time and cost savings, reduction in manpower and so on. TQM is the activity of process improvement based on the existing processes in pursuit of satisfaction of customers' needs. This study analyzed how IT was used to solve the current problem in business processes. As a result of the case study, it is found that TQM activities with IT could reduce expenses significantly. More specifically, expenses have been cut down by 56% a year on average. By improving the business processes through the activities of TQM which used IT, companies could remove the unnecessary business processes and the duplicated business processes. In other words, with the use of IT in TQM activities, they could move closer to goals of the satisfaction of the customers' needs by reducing expenses and time. This study examined the role of IT from the point of view of business process improvement. Internally, IT has a positive impact on reducing expenses, processing time, manpower and so forth. Externally, it plays an important role of company's gaining competitive advantage through the satisfaction of customers and stakeholders. In conclusion, the proper use of IT will significantly increase the performance of a company.