• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.48-54
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• 2012

In this paper, quantitative and systematic procedures for establishing Key Performance Indicators (KPI's) of R&D departments are presented. The proposed methodology is composed of 4 steps : 1) identification of critical success factors, 2) identification of potential KPI's, 3) determination of KPI's and 4) monitoring and execution. A Strategy Map has been presented to better align KPI's with a company's competitive strategies. Also, Analytical Hierarchy Planning (AHP) is used to determine weights of KPI's and Data Envelopment Analysis (DEA) is used to analyze the effectiveness of R&D departments. To demonstrate its validity of the proposed method, it has been applied to the R&D divisions of a semiconductor company.

• Journal of the Korea Institute of Building Construction
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• v.17 no.2
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• pp.199-209
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• 2017

The measurement of business performance is important to secure the competitiveness of construction companies. Therefore, the purpose of this study is to analyze what is needed to increase the competitiveness of small & medium construction companies. In order to analyze efficiently, this study reconfirms the effectiveness of Key Performance Indicators(KPI) of construction companies selected from previous studies. The empirical analysis to find differences of KPI between small & medium construction companies and big construction companies is performed using the 4,286 construction company samples extracted by 'KIS-Value Data Base'. The results of the empirical analysis show that there are significant differences in characteristics of KPI between small & medium construction companies and big construction companies. Particularly, small & medium construction companies are relatively insufficient to invest for the purpose of preparation for future and long-term growth. Additionally, empirical tests reconfirm that most of the KPIs from previous survey studies are suitable as a performance indicators. The contribution of this study is to analyze empirically small & medium construction company's strong & weak points and the effectiveness of KPIs derived from previous studies.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.863-876
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• 2018

Purpose: There are several KPI(key performance indicators) models: BSC(balanced scorecard), IPOO(Input-process-output-outcomes) indicators, QCDP(quality-cost-delivery-productivity) indicators. This paper analyze these models and gives some suggestions to help the effective usage of KPI. Methods: This paper reviews and summarize the criteria to evaluate the PI(performance indicators) through literature review. Evaluation and analysis on the PI factors of the KPI developing models is performed by the criteria. Results: Criteria to evaluate the PI, which can be used to evaluate the goodness of PI is suggested. This paper also proposes some suggestions for the KPI models and their factors for the effective development of PI in the organization. Conclusion: This research will help the managers to develop and select useful PI and KPI for their business and processes.

• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.388-393
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• 2006

Recently, Korean government demands that public sectors like railway construction should improve their management efficiency. It is necessary for railway construction supported by government budget to aim at the companywide management efficiency. The Balanced Scorecard (BSC) is known as integrated performance management framework that helps a company to translate strategic objective info relevant performance within an organization. This paper focuses on relationship between KPIs (Key Performance Indicators) used to measure the performance of railway construction industry and process KPT for BPM (Business Process Management). Also, the vision and strategies of the railway construction is introduced, and the CSFs (Critical Success Factors) and the KPI based on BSC is developed. Finally, this paper explores that there is a possibility to fulfill the strategic objectives of railway construction industry through the connectivity between KPI based on BSC and process KPI based on BPM. We explain the detailed procedures with an example of railway construction industry.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.97-109
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• 2024

This research aims to investigate how major cities in Korea utilize smart city-related technologies, develop key performance indicators (KPIs) to measure the smartness and efficiency of cities, and propose a methodology for assessing and suggesting smart city policy directions based on Data Envelopment Analysis (DEA). Referring to the CITYkeys Smart City Performance Measurement Framework, 10 key performance indicators (KPIs) were derived. For each KPI, city statistical data were allocated to input and output variables, and 15 cities were assigned as Decision Making Units (DMUs). The DEA methodology was employed to evaluate the operational efficiency and scale profitability of cities, providing insights into the operational efficiency of each city. Finally, the operational efficiency among DMUs was ranked to propose smart city policy directions for each city.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.125-142
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• 2013

As a reinforcing strategic-alignment of IT business, Financial Service becomes more rely on IT systems. It needs to continuous information security activities to provide a secure and reliable finance service. Performance measurement of information security activities can be useful for decision and management support. The purpose of this study is to derive CSF(Critical Success Factor) and KPI(Key Performance Indicator) based on K-ISMS, Financial IT Information Security Standards. Providing a rationale can be used to determine key performance indicators, which are utilized as basic data for establishing security policies for financial IT security competency.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.157-171
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• 2010

To effectively maintain manufacturing collaboration, the development of effective performance measurements for the collaboration is required. Most existing key performance indicators however were developed to measure the performances of internal activities or outsourcing of a company. For that reason, it is necessary to devise new key performance indicators that the partners participating in the collaboration can arrange and compromise with each other to reflect their common goals. In this paper, we propose collaborative Key Performance Indicators(cKPIs), which is used to measure the collaboration work of multiple manufacturing partners on the basis of the Supply Chain Operations Reference(SCOR) model. Also, a modified Sigmoid function is devised as a desirability function to reflect the characteristics of Service Level Agreement(SLA) between two partners. The proposed indicators and the desirability functions can be utilized to perform and maintain the successful collaboration by providing a way to the quantitative measurement.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.394-405
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• 2012

Purpose: In this study, we suggest the systematic and comprehensive model to develop PI(Performance Indicators) of the organization or the process. Methods: The model is developed theoretically by using SIPOC(Supplier, Input, Process, Output, Customer) approach which is a tool to analyze the process and is compared with existing models to develop PI or KPI(key performance indicators); financial indicators, BSC, IPOO(input, process, output, outcome), traditional QCD (quality, cost, delivery), and IOS(input, output system). Results: The model provides more systematic method to develop PI and more comprehensive set of PI pools for all kinds of hierarchical levels of process than any other models to develop PI or KPI. Conclusion: This model will provide useful tools for the managers and the organizations who wish to develop PI.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.285-285
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• 2008

• Journal of Internet Computing and Services
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• v.18 no.5
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• pp.113-121
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• 2017

Company A's core competency is IT internet security services. The Web diagnosis team analyzes the vulnerability of customer's internet web servers and provides remedy reports. Traditionally, Company A management has utilized a simple table format report for resource planning. But these reports do not notify the timing of human resource commitment. So, upper management asked its team leader to organize a task team and design a visual dashboard for decision making with the help of outside professional. The Task team selected the web security diagnosis practice process as a pilot and designed a dashboard for performance evaluation. A structural design process was implemented during the heuristic working process. Some KPI (key performance indicators) for checking the productivity of internet web security vulnerability reporting are recommended with the calculation logics. This paper will contribute for security service management to plan and address KPI design policy, target process selection, and KPI calculation logics with actual sample data.