• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.4
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• pp.149-165
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• 2002

This study establishes key factors on ISM (Internet Shopping Mall) performance in Korea. The four factors are derived from the relevant literature and clarified the concept of ISM characteristics, customer characteristics, ISM evaluation level. and perceived risks by distinguishing between its components and determinants. ISM performance indicators were derived from the previous studios classifying by ISM attitude and ISM usage. We examine on the impact of ISM characteristics and customer characteristics on the ISM evaluation level, then its level and perceived risks on the ISM performance. Hypotheses on four factors of ISM performance were tested for 172 respondents. Results indicate that four factors may partially serve as key predictors on ISM performance. ISM characteristics and customer characteristics was found to be positively influenced on ISM evaluation level, and its level also positively affected on ISM performance while perceived risks negatively affected on ISM performance.

• Korean Journal of Construction Engineering and Management
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• v.23 no.6
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• pp.65-75
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• 2022

As performance measurement is important for systematic management, the key indicators for performance measurement have been consistently researched in the construction industry. However, there are only a few cases in which performance measurement is performed because it requires strenuous efforts to collect data for measurement. Unlike the public sector, which has been collecting project data through laws, the private sector has very little data to measure performance. In contrast, supervision work concerns important data necessary for the performance management on building construction sites in accordance with the Building Act. Therefore, in this study, we used the data from supervisory reports to measure the performance of private building projects. First, we derived 6 performance areas and 15 indicators through a few rounds of expert group discussions and 2 surveys. Then, we identified the performance indicators with high feasibility of data collection and computed their degree of significance via the analytic hierarchy process. It is expected that the performance indicators and their computational processes derived in this study can be used to systematically measure the performance and aid the speedy diagnosis of private building construction sites.

• 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.

• International Journal of Highway Engineering
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• v.11 no.3
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• pp.111-120
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• 2009

Recently, pay adjustment regulation (PAR) has been developed to induce better performing road pavements around the country. This regulation was successfully applied during rehabilitation of highway flexible pavements for the first time, and their results are the focus of this paper. For highway pavements, a lot has been defined by typical amount of works a day. This lot was further divided into several sublots depending on field conditions. According to AASHTO Quality Assurance Guide Specification, pay factors for each lot were statistically determined with field measurements of five performance indicators. And composite pay factors were calculated by accounting for the impact of individual performance indicators on a long-term performance of pavement. In 2008, the PAR was tested with asphalt overlays conducted at all six local headquarters of Korea Expressway Corporation. Also, concerns raised during implementation are discussed in this paper. Limited data used in this study showed that if all performance indicators fall within the construction limits with less variances final construction costs may increase by 50%, whereas 10% reduction in construction costs could be necessary if key performance indicators such as density do not meet the construction quality requirements.

• Journal of Korean Library and Information Science Society
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• v.54 no.3
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• pp.81-104
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• 2023

This study is a case study in which collection performance evaluation was attempted using key performance indicators presented by EBSM or collectionHQ, taking three public libraries located in Geumjeong-gu, Busan as examples. Focusing on the collection performance evaluation, which evaluates the performance of the collection, not only the evaluation of individual libraries, but also the differences in the evaluation results of libraries were reviewed. The key performance indicators used are grubby items, dead items, popular author provision, popular subject provision, overstocked subject areas and understocked subject areas. The main analysis results are as follows. First, in the evaluation of the grubby items, the ratio of grubby items out of all items in all three libraries was low. Second, in the case of all dead items, the ratio was high in all three libraries, It exceeded the base value suggested by collectionHQ. Third, the Top 10 popular authors were identified, and there were differences among libraries. Fourth, in the evaluation of provision of popular subject areas, all three libraries had almost no popular subject areas. Fifth, in the evaluation of overstocked subject areas, there was no overstock at Geumsaem Library, but many at Geumjeong Library and Seodong Library. Sixth, in the subject area evaluation of understocked inventory, only Geumsaem Library showed a lack of inventory.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.87-101
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• 2005

Many studies on the SCM related topics have been carried out during the last decade. However, most of research focused on identifying critical success factors of SCM with collaborations between partners. There have been a need for the integrated SCM success model and for identifying indicators of SCM performance measurement. In this study, we suggest the SCM success model classifying 5 aspects with key indicators for measurement. The suggested model can be applied to the measurement of SCM success.

• 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.

• Korea Trade Review
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• v.43 no.6
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• pp.193-214
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• 2018

The role of social value in public institutions has recently been emphasized. The purpose of this paper is to present key performance indicators(KPIs) and a development model for the realization of social value for port authorities. KPIs that could be quantitatively measured are presented with the five social value assessment indicators of the government management evaluation system for public institutions. Through the analysis of vision, mission and social value promotion strategies and stakeholders for each port authority, the concept of a customer-specific social value model is presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2314-2333
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• 2023

It is significant to predict the performance degradation of complex electromechanical systems. Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative information with uncertainty. However, when analyzing dynamic systems where observable indicators change frequently over time and working conditions, the traditional belief rule base (BRB) can not adapt to frequent changes in working conditions, such as the prediction of aeroengine performance degradation considering working condition. For the sake of settling this problem, this paper puts forward a new hidden belief rule base (HBRB) prediction method, in which the performance of aeroengines is regarded as hidden behavior, and operating conditions are used as observable indicators of the HBRB model to describe the hidden behavior to solve the problem of performance degradation prediction under different times and operating conditions. The performance degradation prediction case study of turbofan aeroengine simulation experiments proves the advantages of HBRB model, and the results testify the effectiveness and practicability of this method. Furthermore, it is compared with other advanced forecasting methods. The results testify this model can generate better predictions in aspects of accuracy and interpretability.