• Culinary science and hospitality research
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• v.10 no.2
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• pp.84-106
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• 2004

Measuring and evaluating the business performance plays a very important role in managing business. It is both because business performance, in any types of industry, can be evaluated and managed properly only when the measurement of its performance is estimated and because its performance can be improved through an efficient and effective management. Therefore it is essential to build up the performance evaluation system to raise management efficiency of food service industry, to reinforce competitive power of food service industry. In this study, investigated the present performance evaluation system situation of the food service industry and introduced BSC as the main conceptional framework for evaluating the performance of the food service industry. Finally, this study discussed the possible method for building a balanced scorecard to the food service industry.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.153-160
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• 2001

The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. To do so, we suggest a business performance scheme which utilizes VA per Capita (Value- Added/Workers) and EVA to Invested Capital(Economic Value-Added /Invested Capital). For effective measurement of business performance, we consider simultaneously not only quantitative financial factors such as VA, EVA and cash flow but also qualitative value drivers such as defect ratio, inventory level, customer satisfaction, enterprise culture and so on. However, we don't consider the qualitative factors due to the limited data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.83-94
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• 2022

The aim of this research is to examine the structural linkages between social responsibility, social capital, competitive advantages, and agricultural enterprise performance in China. This research focused on the role of social capital and competitive advantages in mediating the relationship between CSR and corporate performance. 492 employees from agricultural firms in Xinjiang, China, took part in the study. Confirmatory factor analysis and exploratory factor analysis were used to assess the measurement scales' reliability and validity. The associations between these four variables were investigated using structural equation modeling, and the mediating impact was tested using the Bootstrap method. Corporate social responsibility, social capital, and competitive advantage are all positively related to business performance, according to the findings. According to the results of the mediating effect test social capital and competitive advantage partially mediated the relationship between corporate social responsibility and business success. Unlike earlier research, this study focused on the impact of social responsibility on agricultural enterprise performance in impoverished rural areas. The findings of this study, in particular, benefit agricultural company management by revealing the role of social capital and competitive advantage in mediating the relationship between corporate social responsibility and business performance.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.99-113
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• 2013

In spite of IT performance can be achieved through the interaction of IT and organization, many previous study has been treated the introduction of the information system itself as a final outcome. But if it doesn't clear about understanding on IT performance, performance management is difficult and also it is impossible to produce the intended outcomes. This study investigates the improvement of the business performance of SMEs through IT investment, whether the investment process on business performance. Analytical methods that were used in previous studies were maintained and new model IO(Information Orientation) analysis was applied. Therefore, this study is meaningful to establish a new methodology, that is not attempted until now, for evaluating the performance of IT investment, and analysis relationship between IT investment and business performance.

• Knowledge Management Research
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• v.21 no.4
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• pp.243-263
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• 2020

The purpose of this study is to propose the performance measurement model for open big data platform. In order to develop the performance measurement model, we have integrated big data reference architecture(NIST 2018) with performance prism model(Neely et al. 2001) in the platform perspective of open big data. Our proposed model consists of five key building blocks for measuring performance of open data platform as follows: stakeholder contribution, big data governance capabilities, big data service capabilities, big data IT capabilities, and stakeholder satisfaction. In addition, our proposed model have twenty four evaluation indices and seventy five measurement items. We believe that our model could offer both research and practical implications for relevant research.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.54-69
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• 2012

Chan and Qi (SCM 8/3 (2003) 209) developed an innovative measurement method that aggregates performance measures in a supply chain into an overall performance index. The method is useful and makes a significant contribution to supply chain management. Nevertheless, it can be cumbersome in computation due to its highly complex algorithmic fuzzy model. In aggregating the performance information, weights used by Chan and Qi-which aim to address the imprecision of human judgments-are incompatible with weights in additive models. Furthermore, the default assumption of linearity of its scoring procedure could lead to an inaccurate assessment of the overall performance. This paper addresses these limitations by developing an alternative measurement that takes care of the above. This research integrates three different approaches to multiple criteria decision analysis (MCDA)-the multiattribute value theory (MAVT), the swing weighting method and the eigenvector procedure-to develop a comprehensive assessment of supply chain performance. One case study is presented to demonstrate the measurement of the proposed method. The performance model used in the case study relies on the Supply Chain Operations Reference (SCOR) model level 1. With this measurement method, supply chain managers can easily benchmark the performance of the whole system, and then analyze the effectiveness and efficiency of the supply chain.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.44-55
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• 2017

Many enterprises have recently been pursuing process innovation or improvement to attain their performance goal. To comprehensively support business process execution, the concept of business process management (BPM) has been widely adopted. A life cycle of BPM is composed of process diagnosis, (re)design, and enactment. For aligning with enterprise strategies, all BPM activities must be closely related to performance metrics because the metrics are the drivers and evaluators of business process operations. The objective of this paper is to propose a life cycle-based BPM framework integrated with the process-based performance measurement model, in which business processes are systematically interrelated with key performance indicators (KPIs) during an entire BPM life cycle. By using the proposed BPM framework, company practitioners involved in process innovation projects can easily and efficiently find the most influencing processes upon enterprise performance in the process diagnosis phase, evaluate the performance of newly designed process in the process (re)design phase, monitor the KPIs of new business process, and adjust business process activities in the process execution phase through the BPM life cycle.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.385-399
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• 2005

Objective: The objective was to extract a preliminary performance measurement indicators of nursing organizations in hospitals using the BSC(Balanced Score Card) developed by Kaplan and Norton, and to analyze the content validity and evaluation methods of the performance measurement indicators with actual nurses in the nursing organization as participants in the study. Methods: The preliminary performance measurement indicators was created through a literature review and had the content validity by a professional. This survey was sent via post to 316 nurse managers and nurses with more than 5 years of experience in seven secondary and tertiary hospitals in the Seoul Gyonggi district. The completed questionnaires were returned by mail. Results: Fourteen indicators for finances, 16 for customer services, 27 for internal business processes, and 13 for learning and growth were selected. Conclusion: Amidst a rapidly changing medical environment, a first step was taken towards developing a performance measurement from various perspectives for nursing organizations in hospitals from various perspectives, rather than just one or a past-oriented perspective. However, as the most important thing is to actually use these indicators, continuous interest in publicity and education must be developed.

• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.39-44
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• 2021

Since the recent Corona 19, the importance of cloud computing is increasing, and at the same time, competition among clouds is intensifying. Cloud companies are competing for survival by promoting various management innovation methods for continuous growth and development amid a rapidly changing business environment. They are also increasingly interested in performance management in their operations and growth. In this paper, we propose Cloud BSC, an IT BSC-based performance measurement model for cloud enterprise performance management. The validity of the proposed model is verified through statistical analysis and causal analysis. Eventually, the proposed model is expected to be utilized as a management evaluation tool that can provide useful performance analysis information to cloud companies.

• Journal of the Korean Society of Food Culture
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• v.17 no.3
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• pp.252-259
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• 2002

The purpose of this study examined important factor of performance on Contract Foodservice management. Three contract Foodservice companies were selected which were located in Seoul & kuonggi province. 300 units were chose. The questionnaire was composed of seven part. There were the operation of food management, the operation of menu, the operation of equipment and facilities management, the operation of solid waste and safety management, the operation of waiting time management. As a result of the survey B&I foodservice was listed higher than University foodservice as food hygiene, FIFO and food shelf life. University foodservice employees worked 4 hour longer than B&I foodservice employees, so turnover rate was higher than it. Comparing the number of feeding, B&I foodservice equipment and facilities scale was bigger than University foodservice equipment and facilities. The rate of solid waste on B&I foodservice was 11.468% and the rate of University foodservice was 16.23%, the waiting time of University foodservice was about 8mins longer than B&I foodservice.