• International Journal of Advanced Culture Technology
• /
• v.11 no.1
• /
• pp.171-180
• /
• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.40 no.1
• /
• pp.57-73
• /
• 2015

While many previous studies investigated the effect of operations performance on financial performance, most studies considered only a few performance indicators and ignored the characteristics of industries. Therefore, this study intends to analyze the effect of operations performance on financial performance, by selecting a rather comprehensive operations performance indicators from firms' financial data. In doing so, we used operating efficiency and supply chain performance indicators for operations performance and a firm's profitability and future value indicators for financial performance. For the analysis, we collected 544 firms' operations and financial performance data belonging to eight key industries from the 'Forbes Global 2000'. We first analysed the differences in operations and financial performance among high, medium and low supply chain performance groups based on the quantitative criteria of Gartner's 'Supply Chain Top 25' ranking procedure. Then we analysed the effect of operations performance indicators on financial performance for both entire industry and individual industries, using multiple regression. Based on the results, we provided practical insights into key operations performance indicators to focus on and manage in order to improve financial performance.

• International Journal of Quality Innovation
• /
• v.7 no.1
• /
• pp.112-127
• /
• 2006

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

• The Journal of Information Systems
• /
• v.20 no.3
• /
• pp.161-186
• /
• 2011

To date, SCM research has mainly focused on the effects of controlled variables on SCM success and emphasized adoption strategies and critical success factors. Consequently, the effects of more uncontrolled variables such as partnership between SCM partners have been largely ignored. The purpose of this study, therefore, is to examine the effects of both controlled variables and uncontrolled variables on SCM performance through affecting RTE characteristics. The six factors examined in this study include Quality of information, partnership quality, Forecasting, Agility, Visibility, and SCM performance. In this study, SCM Performance was divided into three categories: Quality Performance, Cost Performance, Delivery Performance. All factors were examined from the perspective of part suppliers. The results of this study can be summarized as follows. First, SCM information quality positively affected SCM partnership quality, Forecasting, Agility, Visibility. Second, SCM partnership quality positively affected Forecasting, Agility. But, SCM partnership quality showed no significant effect on Visibility. Third, Forecasting had a significant impact on SCM performance. According to the detailed result of measuring SCM performance with Quality Performance, Cost Performance, Delivery Performance, although Forecasting affects Cost Performance, Delivery Performance directly, it does not affect Quality Performance directly. Fourth, Agility also had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Agility has significant impact on Quality Performance, Cost Performance, Delivery Performance. Fifth, Visibility, as expected, had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Visibility has significant impact on Quality Performance, Cost Performance, Delivery Performance.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.40 no.1
• /
• pp.185-198
• /
• 2015

This study drew performance management factors analyzed a causal link between acceptance and satisfaction of performance management to present the method for promoting acceptance on the performance management system that most of the public enterprises, government-affiliated organizations are implementing. To achieve this, qualitative analysis and quantitative analysis were conducted in parallel through in-depth case studies and surveys. The results of this study are as follows. First, the analysis of the performance management factors with preceding studies shows that performance management indicators, performance management operations and performance management communications. Second, from the causal relationship of performance management factors affecting performance management acceptance reveals that performance management operation has statistical significance. Third, the analysis of the effect of performance management factors on the management satisfaction shows that operation and indicator of the performance management have statistical significance and reflecting the performance indicators to business, adequacy of target level, training, system support and CEO's Leadership have been revealed as important variables to the management satisfaction. Fourth, the result of the analysis on casual connection between acceptance and satisfaction of the performance management shows that improving management acceptance has a direct impact on satisfaction because performance management receptiveness were deemed statistically significant. Fifth, the result of the in-depth case studies on improving performance management acceptance shows that public enterprises have been putting in an effort to design indicators and try to encourage internal member's involvement during the monitoring and evaluation. The quantitative analysis based on survey has turned out that performance management operation and performance management indicators have statistical significance. The qualitative analysis by in-depth analysis shows that public enterprises put a lot of effort to performance management indicators and communication between internal members. As a result, commitment to performance management operation is required to improve the performance management acceptance. In other words, a detailed implementation plan for training, information system support, and CEO's leadership has to be established and ought to be pushed.

• Culinary science and hospitality research
• /
• v.13 no.2
• /
• pp.174-187
• /
• 2007

The purpose of this research is to analyse the cause and effect relations among management strategies, performance assessment and management performance in the hotel industry. The research result is as follows. A management strategy of the hotel industry has influence directly on a performance assessment through the non-financial factor, the financial factor and the study evaluation factor. And a financial performance assessment and a non-financial performance assessment have influence directly on the management performance. Total effects on a management performance of the hotel industry were 0.769 in a management strategies and 1.755 in a performance assessment. In comparison in the direct effects, the management strategies do not influence the management performance directly, and management performance is revealed through a performance assessment.

• Korean Management Science Review
• /
• v.30 no.1
• /
• pp.59-72
• /
• 2013

This research has seven factors such as top management leadership, belt system operation, implementation of systematic methods, adequate project performance measurement, customer focus performance, quality performance and business performance. Those are critical to correct implementation of Six Sigma. I set seven hypotheses which represented the relationships among the seven factors, gathered questionnaires and analyzed the data. Top management leadership affected positively the adequate project performance measurement and the belt system operation, The belt system operation affected the implementation of systematic methods positively and it also affected the adequate project performance measurement. It affected positively the customer focus performance, the quality performance and the business performance, respectively.

• Journal of the Korea Safety Management & Science
• /
• v.4 no.2
• /
• pp.33-42
• /
• 2002

We could not find researches for relationship between safety performance and business performance in comparison with other research areas. Then in this paper we suggest the hypotheses which can systematically explain the relationship between safety performance and business performance and analyze the effects of safety performance on business performance through regression analysis. In order to develop the regression model between safety performance and business performance, the previous studies both for environmental management and for quality management had been reviewed. We obtained the result that the number of the injured persons in occupational accident and the number of lost work day because of the accident which are selected as measurement for safety performance had an effect on business performance through empirical analysis both for large 43 enterprises and for small and medium 30 enterprises. Also we had found that the control variables selectively 3had an effect on business performance. Finally, we concluded that the safety performance had an effect on business performance both for large enterprise and for small and medium enterprise.

• Journal of Distribution Science
• /
• v.14 no.6
• /
• pp.99-106
• /
• 2016

Purpose - The antecedent to the relationship between the effect of the characteristics of strategic alliances and the performance of container liner shipping companies has been investigated in this study as container liner shipping companies' strategic alliances. It affects positively and negatively home, partner, and the third parties' performance in container liner shipping companies. Extensive literature reviews on shipper's strategic alliances reveal that strategic alliances in financial and non-financial performance of container liner shipping companies show the performance such as economic effects, business performance, global supply chain management performance, customer satisfaction, and forward integration and backward integration performance. The purpose of this study is to test empirically that the relationship between the characteristics of strategic alliances and financial and non-financial performance in container liner shipping companies. Structured equation modeling and confirmatory factor analysis were used to test the hypothesis using AMOS statistics program. Most previous researches focused on the relationship between the characteristics of strategic alliances and alliance types. There are few empirical studies that focus on business performance data because it is difficult to collect data in container liner shipping companies. However, this research measures financial and non-financial performance differently compared with the previous researches focusing on the characteristics of strategic alliances and alliance types measurements. Research design, data, and methodology - The conceptual model for the study is based on the studies of Lim (2010), Chen & Zhen (2009), and Wang & Meng (2014). The model is built around the factors of characteristics of strategic alliances and business performance. Cost, marketing, and service factors are regarded as proxy for the characteristics of strategic alliances. The financial and non-financial performance are regarded as proxy for the performance of strategic alliances. Based on the analysis of one hundred cases such as forwarder, shipper, and liner shipping companies, this study uses structural equation modeling to verify the effects of the characteristics of strategic alliances on business performance. Conclusions - This study provides container liner shipping companies to get some policy and practical implications in terms of the characteristics of strategic alliances and business performance. First, the cost factor for alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The cost factor relationship between high and low performance group does not have a significant difference on the performance of strategic alliances. Second, the marketing factor of alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The high performance group's marketing factor has a great non-financial performance than low performance group, but the low performance group's marketing factor has a grater financial performance than high performance group factor does. Third, the service factor of alliances characteristics has a negative influence on the non-financial performance of strategic alliances. The high performance group's service factor has a great non-financial performance than low performance group. Based on the findings from this study, related implications and future avenues deserve to be discussed.

• Journal of the Korea Institute of Building Construction
• /
• v.5 no.2 s.16
• /
• pp.123-130
• /
• 2005

The purpose of this study is to present the optimum performance of hybrid waterproofing technology, which is including material and construction method. Recently, Hybrid waterproofing technology is developed little by little in KOREA. But there is not any other criterion of performance and evaluation of this technology. So, It is needed that appropriate performance items is are settled urgently. This paper were obtained by the SPSS analysis. In this study the safety factor are more important performance of building waterproofing materials than durability comfortability and productivity. And results of this analysis showed that (1) safety performance consists of Fatigue resistance, Crack Control performance deterioration Processing of tensile performance, Compressive Strength test (2) comfortability performance consists of watertightness, bond performance (3) persistency performance consists of abrasion resistance, tensile performance, flexural strength (4) productivity performance consists of dimension, unit space weight.