• International conference on construction engineering and project management
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• 2015.10a
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• pp.496-500
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• 2015

International construction projects are inherently more risky than domestic projects with multi-dimensional uncertainties that require complementary risk management at both the country and project levels. However, despite a growing need for systematic country evaluations, most studies have focused on project-level decisions and lack country-based approaches for firms in the construction industry. Accordingly, this study suggests data-driven approaches for evaluating countries using two quantitative models. The first is a two-stage country segmentation model that not only screens negative countries based on country attractiveness (macro-segmentation) but also identifies promising countries based on the level of past project performance in a given country (micro-segmentation). The second is a multi-criteria country segmentation model that combines a firm's business objective with the country evaluation process based on Kraljic's matrix and fuzzy preference relations (FPR). These models utilize not only secondary data from internationally reputable institutions but also performance data on Korean firms from 1990 to 2014 to evaluate 29 countries. The proposed approaches enable firms to enhance their decision-making capacity for evaluating and selecting countries at the early stage of corporate strategy development.

• Smart Media Journal
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• v.13 no.3
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• pp.62-73
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• 2024

This research, conducted over a three-year period starting from 2020, was a collaborative project between practitioners in the field of VE design and the Korea Expressway Corporation, aimed at innovating the design VE project to construct an intelligent ICT-based smart highway and enhancing highway driving performance and customer satisfaction. The research included R&D support for payment and management systems integrated with IOT technology, the application of the developed prototype at highway sites, and analysis of user performance evaluation. Based on the Innovation Work Roadmap of the Korea Expressway Corporation, the research process involved collaboration between a public participation group and an expert group, considering the technical feasibility of data-based ICT technology through the National Idea VE Contest. The final VE design results were implemented at the Seongnam tollgate site with budget support from relevant departments, followed by a satisfaction survey. It is expected that the continuous contributions to achieving an ESG society, such as the increase in the number of customers using the tolling zone equipped with smart upgrades, along with their satisfaction rate, and the reduction in carbon emissions and total settlement time of highway users, will be sustained.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.607-618
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• 2023

Purpose: In this study, we proposed a plan to establish and implement a safety and health management system by utilizing corporate resources so that manufacturing companies can effectively respond to the Serious Accident Punishment Act. Methods: We identified critical factors and response strategies necessary for manufacturing companies to respond to the Severe Accident Punishment Act effectively and surveyed employees working at the company regarding their importance and performance. Results: In this study, we presented a method of strategically constructing the response strategies (20) shown in previous studies by matching them with the company's resources (leadership, organization, budget, education, and awareness). In particular, leadership refers to the ability of managers who can prevent serious accidents by carrying out safety and health security obligations to avoid safety and health hazards or risks to employees in the business or workplace that is controlled, operated, and managed. Conclusion: Based on the manager's firm leadership, the system's purpose and direction must be accurately set and sufficiently communicated to members. In addition, for companies to identify and improve risk factors on their own, a Process approach must be established to improve execution by referring to legal standards together with field managers and supervisors.

• Journal of Information Technology Services
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• v.23 no.5
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• pp.73-85
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• 2024

This study employs the Analytic Hierarchy Process (AHP) to evaluate the suitability of microservice architecture in Manufacturing Execution Systems (MES) for the steel manufacturing industry, based on software quality attributes. The research involved 36 experts (13 from architecture teams and 23 from business development teams) who assessed the importance of six main quality attributes (reliability, performance, usability, maintainability, flexibility, and security) along with their sub-attributes, and compared the suitability of microservice and monolithic architectures. The results indicate that microservice architecture demonstrated higher overall suitability with a composite score of 0.565, compared to monolithic architecture (0.435). Among the quality attributes, reliability was rated as the most important factor, while flexibility and maintainability were less important, as expected. Perception differences between teams were observed regarding performance attributes, while monolithic architecture was marginally favored in terms of security. This study emphasizes the importance of a contextual approach in software architecture selection, taking into account industry characteristics and system requirements. It contributes both academically and practically through methodological innovation using AHP, bridging theory and practice, and integrating diverse stakeholder perspectives. The findings provide practical guidelines for considering microservice architecture adoption in steel manufacturing MES and similar industries, while also stressing the need for a cautious approach.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.131-138
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• 2014

The purpose of this paper is to study the effects of the competitiveness of intermediate goods and enterprise's core competency on customer value and enterprise performance. And it is surely meaningful to investigate the intermediate product competitiveness with the variable of interest to recent corporate values and corporate customers with business performance by exploring their relationships. This research focuses on the intermediate goods competitive dimension and the company's core competency, and then several models are proposed. The research model is based on the existing core competencies of the conceptual model, which consists of intermediate goods competitive, core competencies, product innovation, product reliability, customer value and corporate performance. The automobile company in China and Korea are focused in this paper; empirical analysis method is applied to examine the relationships in these areas. The concept of core competencies in the existing competitive enterprises in product and process is defined as the relative advantage. Eight hypotheses are introduced for statistical hypothesis testing. Employees and typical intermediate products in automotive companies in China and Korea are investigated.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.81-91
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• 2019

This study empirically examines the relationship between the characteristics of a company and its performance through open innovation. It was intended to accept open innovation as a strategic means to overcome various situations in which companies faced and to understand it as a process of generating corporate performance. In various situations, companies must overcome environmental and internal factors. As an environmental factor, the dynamics of the market and the dynamics of technology allow for the adoption of open innovation, which in turn becomes a strategic tool for generating results. In addition, the internal environment of the company should strengthen the organization's capacity considering the characteristics of the company. In order to reinforce entrepreneurial orientation, openness of organizational culture, delegation and R & D capabilities, which are internal characteristics of the company, open innovation has a positive effect on the performance of the company. In overcoming the environment given to the company, open innovation was found to be an important medium for generating various results for the company. For this study, we conducted a structured questionnaire survey on 176 Korean companies. This study suggests that open innovation is strategically accepted and understood as a management strategic philosophy in order to overcome the environment in which a company is faced and generate results.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.11-26
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• 2016

Businesses have to survive and thrive in both domestic and international environments. In order to resolve these problems, new alternatives have been presented. These include the importance of women's resources and entrepreneurship of female CEOs. The sensibility, delicacy, creativity as well as the intuitive power of female CEOs, actively enables them to cope with the ever-changing environment. Because of the rapidly changing circumstances, the above mentions women's attributes are highlighted thus, causing women's roles in society to shift from their traditional tendencies to finding careers and their own identities. Due to this change in social roles, social interest and the values of female CEOs are being reevaluated. Accordingly, the conceptual consideration of female entrepreneurship (innovation, enterprise, risk sensitivity) as well as the factors to be considered for the entrepreneurship of female CEOs in order to promote knowledge management performance was derived in this research. The deducted implication of this research is that generally, the enterprise and risk sensitivity of entrepreneurship affect the knowledge management performance of female CEOs. It is therefore proved that in the case of female CEOs, entrepreneurship and self-efficacy are linked, allowing them to achieve the desired outcome for a specific task performance. Female CEOs are capable of company management through the mediating process of their enterprise, risk sensitivity, and self-efficacy and with faith in their knowledge management, will be able to achieve high performance. Therefore, using strengths and nature peculiar to women, women's economic activities derived from knowledge management based on entrepreneurship will not only help overcome the long-term economy crisis but also lead to high economic growth and development. This will be a dynamic force for the nation's new growth with financial means. The comparative study of existing results will also contribute in suggesting the direction of policies that will enable the success of female CEOs in entrepreneurship.

• Korean small business review
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• v.41 no.3
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• pp.23-47
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• 2019

This study investigates the effects of three types of person-environment fit, i.e. POF, PJF(ability) and PJF(needs), on effectiveness variables and the mediating effect of work motivation in SMEs. The data were collected from 211 employees who work for SMEs. Results of structural equation modeling(SEM) analyses demonstrated that PJF(ability) was significantly associated with task performance and turnover intention, while POF and PJF(needs) were significantly associated with turnover intention only. PJF(needs) and PJF(ability) have the positive impact on intrinsic motivation, PJF(ability) also has the positive impact on external and identified motivation. We also analysed mediating effects using Process macro. Results demonstrated that intrinsic motivation mediated the relationship between POF, PJF(needs), PJF(ability) and task performance. The relationship between PJF(ability) and task performance was mediated by external motivation. Based on the results, theoretical and practical implications are derived. Also suggested are methodological limitations and future research directions.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.1-22
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• 2017

Analysis of future business or investment opportunities, such as business feasibility analysis and company or technology valuation, necessitate objective estimation on the relevant market and expected sales. While there are various ways to classify the estimation methods of these new sales or market size, they can be broadly divided into top-down and bottom-up approaches by benchmark references. Both methods, however, require a lot of resources and time. Therefore, we propose a data-based intelligent demand forecasting system to support evaluation of new business. This study focuses on analogical forecasting, one of the traditional quantitative forecasting methods, to develop sales forecasting intelligence systems for new businesses. Instead of simply estimating sales for a few years, we hereby propose a method of estimating the sales of new businesses by using the initial sales and the sales growth rate of similar companies. To demonstrate the appropriateness of this method, it is examined whether the sales performance of recently established companies in the same industry category in Korea can be utilized as a reference variable for the analogical forecasting. In this study, we examined whether the phenomenon of "mean reversion" was observed in the sales of start-up companies in order to identify errors in estimating sales of new businesses based on industry sales growth rate and whether the differences in business environment resulting from the different timing of business launch affects growth rate. We also conducted analyses of variance (ANOVA) and latent growth model (LGM) to identify differences in sales growth rates by industry category. Based on the results, we proposed industry-specific range and linear forecasting models. This study analyzed the sales of only 150,000 start-up companies in Korea in the last 10 years, and identified that the average growth rate of start-ups in Korea is higher than the industry average in the first few years, but it shortly shows the phenomenon of mean-reversion. In addition, although the start-up founding juncture affects the sales growth rate, it is not high significantly and the sales growth rate can be different according to the industry classification. Utilizing both this phenomenon and the performance of start-up companies in relevant industries, we have proposed two models of new business sales based on the sales growth rate. The method proposed in this study makes it possible to objectively and quickly estimate the sales of new business by industry, and it is expected to provide reference information to judge whether sales estimated by other methods (top-down/bottom-up approach) pass the bounds from ordinary cases in relevant industry. In particular, the results of this study can be practically used as useful reference information for business feasibility analysis or technical valuation for entering new business. When using the existing top-down method, it can be used to set the range of market size or market share. As well, when using the bottom-up method, the estimation period may be set in accordance of the mean reverting period information for the growth rate. The two models proposed in this study will enable rapid and objective sales estimation of new businesses, and are expected to improve the efficiency of business feasibility analysis and technology valuation process by developing intelligent information system. In academic perspectives, it is a very important discovery that the phenomenon of 'mean reversion' is found among start-up companies out of general small-and-medium enterprises (SMEs) as well as stable companies such as listed companies. In particular, there exists the significance of this study in that over the large-scale data the mean reverting phenomenon of the start-up firms' sales growth rate is different from that of the listed companies, and that there is a difference in each industry. If a linear model, which is useful for estimating the sales of a specific company, is highly likely to be utilized in practical aspects, it can be explained that the range model, which can be used for the estimation method of the sales of the unspecified firms, is highly likely to be used in political aspects. It implies that when analyzing the business activities and performance of a specific industry group or enterprise group there is political usability in that the range model enables to provide references and compare them by data based start-up sales forecasting system.

• Structural Engineering and Mechanics
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• v.53 no.5
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• pp.881-896
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• 2015

In this study, a method for fatigue performance estimation of deepwater steel catenary riser (SCR) under short-term vortex-induced vibration was investigated for selected S-N curves. General tendency between S-N curve capacity and fatigue performance was analysed. SCRs are generally used to transport produced oil and gas or to export separated oil and gas, and are exposed to various environmental loads in terms of current, wave, wind and others. Current is closely related with VIV and it affects fatigue life of riser structures significantly. In this regards, the process of appropriate S-N curve selection was performed in the initial design stage based on the scale of fabrication-related initial imperfections such as welding, hot spot, crack, stress concentration factor, and others. To draw the general tendency, the effects of stress concentration factor (SCF), S-N curve type, current profile, and three different sizes of SCRs were considered, and the relationship between S-N curve capacity and short-term VIV fatigue performance of SCR was derived. In case of S-N curve selection, DNV (2012) guideline was adopted and four different current profiles of the Gulf of Mexico (normal condition and Hurricane condition) and Brazil (Amazon basin and Campos basin) were considered. The obtained results will be useful to select the S-N curve for deepwater SCRs and also to understand the relationship between S-N curve capacity and short-term VIV fatigue performance of deepwater SCRs.