• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.269-284
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• 2012

The main purpose of this study was to investigate factors affecting performance of casual wear franchise stores including franchiser support and social network between owners/managers. The study included the franchise stores of 55 casual wear brands located in Seoul, Incheon and Gyeonggi-do. In each store, one manager, owner or staff member with management responsibility was asked to fill out a questionnaire. A total of 184 questionnaires were collected with 165 used in the final analysis. The results showed that franchiser support consisted of educational support, marketing support and customer support. Path analysis indicated that only the educational support had a significant influence on the franchiser-franchise relationship, and in turn, the franchiser-franchise relationship positively influenced customer performance. Marketing support did not have a significant influence on the franchiser-franchise relationship, but did demonstrate a direct influence on customer performance. Social networks positively influenced customer performance, and there was significant a correlation between regions and social networks on customer performance. Sales performance was significantly influenced by customer performance.

• Journal of Venture Innovation
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• v.4 no.3
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• pp.17-30
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• 2021

Environmental deterministic perspectives and resource-based perspectives have different perceptions on the factors that determine corporate performance. While the environmental deterministic viewpoint sees the external environment as having a significant impact on corporate performance. On the other hand, the resource-compliant viewpoint believes that it is important to obtain the necessary resources through appropriate decision-making in order to overcome the uncertainty of the environment. Although the external environmental impact on corporate performance is important, the study is in the position that efforts within the company to cope with environmental uncertainty are necessary. This study identified the role that factors within the company play in the process of affecting the external environment of the company's performance. This study looked at whether the CEO's innovation direction plays an mediating role in the market environment favorability affecting sales growth rate. The data was collected using a survey method. We collected data from 138 small and medium-sized manufacturing companies in Gyeongin area. The collected data was analyzed using SPSS 22 packages. According to the analysis, market environment favorability positively affects sales growth rate, and the CEO's innovation direction plays a mediating role between market environment favorability and sales growth rate. The results of this study showed that depending on the market environment, the CEO's interest and willingness to innovate, present a vision for innovation, and institutionalize innovation activities increase management performance through innovation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.2
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• pp.51-73
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• 2011

This study aims to examine factors affecting small food service business performance, which is assumed to be dependent primarily on its outskirt's residents. In contrast to the prior research, this paper measures saveral location traits as a separate service business success factor without including the factor in management factors. The empirical results show that small food service's sales can be determined significantly by business career in entrepreneurs' background features. Secondly, its sales can't be influenced by any psychlogical factors such as a desire of achievement, a propensity of risk taking and locus of control. It is assumed that questions about psychological traits based by the prior research do not suit for small food entrepreneur. Thirdly, qualified product have a significant effect on its sales. Finally, its sales can be significantly impacted by the number of customer chair.

• Journal of Environmental Policy
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• v.9 no.4
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• pp.29-52
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• 2010

This paper analyzes the firm's financial characteristics, influence over the adoption of the ISO 14001 adoption in our analyses. We used the T-test, a logistic regression analysis. We chose 112 Steel Enterprises from Korea Accreditation Board. The independent variables are current ratio, debt ratio, fixed assets to net worth and fixed liabilities, gross margin on sales, total assets turnover, net sales growth rate. This study tests three hypotheses on management performance of adoption of ISO 14001. The main findings are as follows. The first hypothesis is supported in terms of debt ratio, fixed assets to net worth and fixed liabilities, net sales growth rate at the 1%, 5%, 5% significance level. The second one is supported in terms of current ratio, debt ratio, fixed assets to net worth and fixed liabilities at the 10%, 1%, 1% significance level. The third one is supported in terms of gross margin on sales, total assets turnover at the 1%, 10% significance level. These findings have important implications

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.8-13
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• 2015

One of the most usual indicators to measure the performance of any inventory policy is the mean physical stock. In general, when estimating the mean physical stock in periodic review inventory systems, approximate approaches are often utilized by practitioners and researchers. The mean physical stock is generally calculated by a simple approximation. Still these simple methods are frequently used to analyze various single stockpoint and multi-echelon inventory systems. However, such a simple approximation can be very inaccurate. This is particularly true for low service levels. Even though exact methods to calculate the mean physical stock have been derived, they are available for specific cases only and computationally not very efficient, and therefore less useful in practice. In literature, approximate approaches, such as the simple, the linear, and Simpson approximations, were derived for the periodic review inventory systems that allow backorders. This paper modifies the approximate approaches for the lost sales case and evaluates the modified approximate approaches. Through computational experiments, average (and maximum) percentage deviations of mean physical stock between the exact method and the modified approximations are compared in the periodic review inventory system with lost sales. The same comparison between the modified and the original approximations are also conducted, in order to examine the performance of modified approximations. The results show that all modified approximations perform well for high service levels, but also that the performance may deteriorate fast with decreasing service level. The modified Simpson approximation is clearly better. In addition, the comparison between the modified and the original approximations in the periodic review inventory system with lost sales shows that the modified approximation outperforms the original approximation.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of the Korea Management Engineers Society
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• v.23 no.4
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• pp.125-141
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• 2018

As global competition is intensifying, companies are entering not only developed markets but also emerging and developing countries. In emerging and developing countries, business-to-governmental relations are an essential factor influencing the firm performance. The purpose of this research is to examine the effects of corporate political activities on firm performance. Using the BEEPS data developed by the EBRD and the World Bank, the effect of various bribery activities regarded as corporate political activities on the firm performance was examined. Also, the moderating effect of competition type on the firm performance was proved. As the results, the bribery contribution, which is a corporate political activity, has a positive effect on the firm performance. Specifically, when infrastructure bribery occurred, costs and sales were higher, and when permission bribery was granted, profits, costs, and sales were higher. In addition, the effect of bribery as a corporate political activity on firm performance is moderated by competition type. These findings have academic and practical implications for empirical analyzing of SMEs' firm performance, guidelines suggestion for entry into the other countries, generalization possibility of using credible data, developing and designing export support systems and programs. Finally, limitations of the research and future research directions were discussed.

• Journal of Distribution Science
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• v.17 no.7
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• pp.45-53
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• 2019

Purpose - The relationship between multinationality and performance has become a hot topic in academic circles and is very important for multinational firms, especially for Chinese multinational firms, who need more experience to enter the international market. Given this background, this paper attempts to figure out the importance of multinationality to China's firm performance and to explore whether the Four-stage Theory can also be applied to China's firms. Research design, data, and methodology - We employ the panel data of 435 multinational firms from 2008 to 2017 chosen from China's A-shares to conduct an empirical analysis by using a fixed-effects model. In the paper, the performance is represented by ROA (return on assets), treated as a dependent variable, and multinationality is represented by FSTS (foreign sales/total sales), treated as an independent variable. Results - We find that the performance first decreases then rises, then falls down, and rises again in the end. Hence there is a W-shaped relationship between the multinationality of the Chinese manufacturing industries and firm performance, proving that the four-stage theory is also applicable to Chinese multinational firms. Conclusions - These empirical results can provide some advice for policymakers to improve the firm performance such as reducing the logistics cost of multinationality.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.3
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• pp.342-357
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• 2014

The present study analyzes the relationship between research and development (R&D) inputs and performance of a national technology innovation R&D program using successive binary Logistic regression models based on a typical R&D logic model. In particular, this study focuses on to answer the following three main questions; (1) "To what extent, do the R&D inputs have an effect on the performance creation?"; (2) "Is an obvious relationship verified between the immediate predecessor and its successor performance?"; and (3) "Is there a difference in the performance creation between R&D government subsidy recipient types and between R&D collaboration types?" Methodologically, binary Logistic regression models are established successively considering the "Success-Failure" binary data characteristic regarding the performance creation. An empirical analysis is presented analyzing the sample n = 2,178 R&D projects completed. This study's major findings are as follows. First, the R&D inputs have a statistically significant relationship only with the short-term, technical output, "Patent Registration." Second, strong dependencies are identified between the immediate predecessor and its successor performance. Third, the success probability of the performance creation is statistically significantly different between the R&D types aforementioned. Specifically, compared with "Large Company", "Small and Medium-Sized Enterprise (SMS)" shows a greater success probability of "Sales" and "New Employment." Meanwhile, "R&D Collaboration" achieves a larger success probability of "Patent Registration" and "Sales."

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.335-343
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• 2021

Profit generation is one of the main goals of small- and medium-sized enterprises (SMEs). SMEs have deployed a number of solutions to increase profits, including solutions to improve their financial advantage. The question is how to help SMEs make better and more effective decisions to improve their competitive advantage in order to improve their financial performance. The aim of this research is to examine the impact of competitive advantage on financial performance in small- and medium-sized enterprises (SMEs) in Hanoi. A survey of 120 accountants, sales staff and boards of directors of SMEs was conducted to collect data. Through quantity methodology, we used Cronbach's Alpha, EFA and correlation analysis to determine the relationship between competitive advantage and dependent variable - financial performance. The results showed that the competitive advantage had a positive relationship with financial performance. There is not, statistically, significant difference in the level of financial performance in SMEs in Hanoi in terms of genders and between the mentioned three groups of job descriptions. From the findings, this study suggests several recommendations to improve financial performance such as increase sales and increase profits. The results are considered as a useful reference for establishing policies to attract customers toward sustainable development of firms.