• International conference on construction engineering and project management
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• 2015.10a
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• pp.200-204
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• 2015

This paper presents 10 input measures influencing project outcomes. Construction Industry Institute (CII), a consortium of more than 130 project owner and contractor companies, has collected project-level data for over 20 years. Recently, CII has developed a new system measuring project-level performance and factors presumably influencing project performance. The system, called 10-10, collects data for 10 input and 10 output measures for capital projects. The input measures include planning, organizing, leading, controlling, design efficiency, human resources, quality, sustainability, supply chain, and safety. This paper provides theoretical background for these measures. Although the input measures have been known to impact on project outcomes such as cost and schedule, there has been no study quantitatively evaluating how they are operated in the construction industry. This study contributes to revealing the current status of their uses, which will be helpful in establishing strategies improving construction project performance.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.150-153
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• 2015

The construction industry is an integral part of any nation's economy, whether measured by dollar volume or workforce size. In spite of its strong influence, there has been very little specifically aimed at evaluating the current industry performance. This research investigates the macroeconomic performance of the construction industry by accounting for crucial performance affecting factors such as labor productivity and gross margin. A clustering analysis, followed by a series of statistical analyses, yielded a notable finding that labor productivity is the most important factor that affects industry's profitability. The results of the analysis also revealed that the states with the strongest labor productivity show the highest level of profitability in terms of gross margin. This study should be of value to decision-makers when plotting a roadmap for future growth and rendering a strategic business decision.

• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.51-68
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• 2018

This paper compares the differences in management performance in the logistics market and analyzes the differences in business characteristics depending on the industry types. In addition, the effects of industry types and business characteristics on management performance are examined. The analysis method used is ANOVA and K-means clustering. The implication of the study are as follows. First, in the logistics market in Japan, there was a difference in management performance among the types of industry. The warehousing service type had the highest profitability and stability among all the industry types. Second, differences in business characteristics by industry types were tested. It was found that offshore cargo transportation type was more capital intensive than the other types. In addition, warehousing service type had higher business leadership and credit transaction than others. Third, industry types and clusters based on business characteristics had a significant impact on management performance through interaction effects. For the profitability variables in detail, other clusters had a significant effect between transportation types(onshore and offshore cargo) and warehousing service type. On the other hand, in stability variables, one cluster was effective in all types, which is a characteristic that lowers both capital intensity and business leadership.

• Knowledge Management Research
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• v.12 no.3
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• pp.1-25
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• 2011

This research empirically examined the determinants of competitive advantages and performance of Korean film industry from 1996 to 2003 over a sample of 396 movies. Especially, the effects of knowledge-based resources, social capital, product differentiation strategy, and market entry strategy on a film performance were hypothesized and empirically tested. Findings of this study are as follows; First, confirming the importance of knowledge-based resources in film industry, both the superior business track records of producers and the superior artistic track records of directors and actors had positive effects on film performance. Second, supporting social capital hypotheses, while the strong ties between directors and producers had positive effects, the strong ties between directors and actors had negative effects on film performance. Third, confirming the importance of product differentiation strategy, genre differentiation against competing films had positive effects on film performance. Finally, confirming the importance of market entry timing, the number of competing films released following a film opening within a week had negative effects on film performance. The findings of this research suggest that producers, directors, and actors are not only the critical knowledge-based resources to create competitive advantages indeed, but the pattern of relationships among them also systematically influences the film performance. Moreover, it is suggested that film performance may be improved by the proper genre differentiation and opening day selection.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.189-199
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• 2014

The purpose of this study is to analyze the effects of financial and non-financial performance measures in BSC on the performance of hotel industry. To achieve research purpose, this study analyzed the data from korean hotel industry. Empirical results of this study show that there are significant positive correlations among the performance measures in terms of four balanced scorecard. These results are consistent with those of previous studies. In addition, regression analyses has shown that the performance measures have positive impacts on the performance of hotel firms.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.154-163
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• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.61-83
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• 2017

It is well known that PMO (Project Management Office)s are effective for successful project performance. Since it takes a long time to develop PMO capability, many public organizations and companies that do not have internal PMOs are increasingly relying on outsourcing of PMO functions in order to introduce mature PMO capabilities in a short period of time. However, it is not verified yet whether outsourced PMO is more effective than internal PMO or not. The objective of this study is to verify the effectiveness of PMO outsourcing. There are many different definitions about PMO function, and even the same PMO function may have different effectiveness depending on the Industry. Thus, this study redefined the PMO functions and Project Performance based on the past studies, and conducted research by focusing on the ICT (Information and Communication Technology) industry. The ICT industry is an important industry economically and has been attracting global attention recently. This study is the first attempt to prove the effectiveness of outsourcing of PMO function in Korea. We found that PMO function outsourcing is effective for certain aspects of project performance, particularly technical support and infrastructure management. Overall, PMO outsourcing is usually more effective than internal PMO for improving project performance. The results of this study are expected to contribute to the development of PMO theories and practices.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.84-92
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• 2002

In this Paper, We propose new performance measure model in Logistic Industry. New model has been learned by key points of PZB model and advanced structure of MBNQA which has cause measure points and effect measure points. The Structure of new performance measure model is Cubic Model which is reflected with time. We try to verify this model apply advance logistic company.

• IE interfaces
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• v.22 no.3
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• pp.192-204
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• 2009

Based on the characteristics of 'Korean electric power industry R&D programs', this study proposes a new performance evaluation framework where electric power industry related R&D projects are scrutinized. The abovementioned R&D programs have their own goals and especially they emphasize the effectiveness as well as the efficiency of each subordinate R&D project. Hence, in this framework, a performance evaluation procedure is established and then a mathematical model is developed according to the procedure. The model calculates performance evaluation indices for a set of R&D projects integrating the effectiveness with the efficiency of each R&D project. In a case study with an empirical dataset, statistical significance is tested on the integrated performance evaluation indices of R&D projects regarding organizational types and program categories considered.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.127-149
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• 2013

Competitiveness of service industry in Korea is relatively lower than OECD countries'. Korean government, therefore, has been trying to improve the competitiveness of service industry by accelerating information technology (IT) adoption. Even though most of factors of IT can be contributed to improve the financial performance, it may be affected differently among various industry types and life cycles of companies. Therefore, it is one of very important research issues to analyze the influential effect of IT considering industry types and organizational life cycles in service industries. The purpose of this study is to find out critical success factors of IT which influence financial performance considering different types and life cycles of service industries. We developed the model and identified key success factors of IT adoption as IT system quality, Information quality, IT maintenance, CEO support, IT education of organization, and IT competence of user. Additional analysis of moderating effect by organizational life-cycle and types of service industry are conducted. For data sampling 856 companies are participated and total 2,000 questionnaires are collected. Structural equation modeling method is conducted for statistical analysis. The results show that the model is valid and most of success factors of it are very useful for improving financial performance of service industries except organizational IT education. Moderating effect of industry types and organizational life cycles is valid but partially accepted. The results might be able to provide useful directions and guide lines of IT acceleration in service industries.