• Journal of Distribution Science
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• v.22 no.1
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• pp.61-67
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• 2024

Purpose: The study has identified factors affecting dynamic capabilities and the distribution of competitive advantage under the impact of dynamic capabilities of Vietnamese fintech businesses. Research design, data, and methods: The method used in this study is a survey analysis of 120 Vietnamese fintech businesses to test the hypothesized relationships of the research model as well as evaluate its effectiveness. The study uses the Cronbach alpha analysis, factor analyses, and structural equation modeling to assess the research's measurement and structural models. Results: Research results show that 3 critical success factors: "Capacity to develop financial service ideas," "Ability to develop a platform," and "Business capacity" have a positive impact on "Dynamic capabilities." In addition, the study also evaluates the effect of "dynamic capabilities" on the "competitive advantage" of fintech businesses. Conclusion: Theoretically, this result contributes to discovering new, specific factors affecting the dynamic capabilities of fintech businesses. In practice, the research results are empirical evidence of the distribution of competitive advantages of Vietnamese Fintech businesses and their impact on dynamic capabilities.

• Journal of the Korea Society for Simulation
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• v.29 no.4
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• pp.55-64
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• 2020

Since the European Union-South Korea Free Trade Agreement entered into force in 2011, the Korean automobile market has grown rapidly, resulting in intensifying competition among companies in the market. European automakers gained price competitiveness, which intensified competition with Korean automakers. In such a situation, various studies on the Korean automobile market have been conducted, but studies such as market influencing factor analysis and consumer analysis have mainly been conducted, and there is no research on the analysis of competitive dynamics in the market. In this study, the competitive dynamics between Hyundai Motors, Kia Motors, Mercedes-Benz, and BMW, which are major automakers in the Korean automobile market, are analyzed. The competitive relationship between major automakers are modeled using the Lotka-Volterra (LV) model and the competitive dynamics over time are analyzed by applying the Moving Window. In order to explain the competitive dynamics effectively, we analyze it by subdividing it based on various influencing factors.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.255-258
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• 2001

This introduces a improved method of the forward kinematics analysis, which finds the 6DOF motions and velocities from the given six cylinder lengths in the Steward platform. The numerical method(Newton Raphson Mehotd)of the forward kinematics analysises has the disadvantage of the long calculated time. To overcome this, we propose the competitive method that determine a proper initial value. Through the competitive method, we can select a proper initial value so that the calculate time is reduced. therefore we can give the property of the real time process to the forward kinematics analysis. We show the result comparing between general Newton-Raphson method and proposed one. From the result we verify the performance of the proposed method.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1344-1346
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• 1996

In this paper, we discuss an informal analysis of diffusion, global optimization properties of Langevine competitive learning neural network. In the view of the stochastic process, it is important that competitive learning gurantee an optimal solution for pattern recognition. We show that the binary reinforcement function in Langevine competitive learning is a brownian motion as Gaussian process, and construct the Fokker-Plank equation for the proposed neural network. Finally, we show that the informal analysis of the proposed algorithm has a possiblity of globally optimal. solution with the proper initial condition.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.155-166
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• 2018

These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

• Journal of the Korean Society of Costume
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• v.58 no.7
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• pp.92-103
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• 2008

The purpose of this study was to subdivide the shoes market in Korea and to evaluate the size and competitive strength of each segment. In order to implement the purpose of this study, the data of 300 respondents were analyzed using CBC(Choice-Based Conjoint measurement) and mixture model. The part-worth utilities were then used to predict the impact of price change on the choice probability using the legit model. As a result, the mixture model showed the optimal segments number and the shoes market in Korea was divided into 4 segments. Each segment was identified by distinctive characteristics such as brands, price and demand for comfortable shoes. Also, as a result of grasping the competitive structure and the competitive strength by sub-markets, one group was sensitive to price according to each competitive situation, whereby the choice probability was greatly influenced, and the other group on the contrary. This study made it clear that discrimination between brands whose profits Increase sharply if price is lowered and brands whose profits do not increase even if price is lowered can help brand managers with their decision-making on price lowering.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.55-69
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• 2016

In response to drastic environmental changes, companies have been continuously rebalancing their resources and capabilities to sustain their competitive status or to survive difficult times. The aim of this study is to analyze the effect of sudden environmental changes on the competitive status of a firm and to identify the internal factors that differentiate sustainer and non-sustainer groups. To achieve this goal, we selected 85 representative IT and non-IT companies from the S&P 500 companies and investigated them with respect to the change in their five-year competitive status since the 2008 global financial crisis. As a concrete performance measure, the concept of perceived competitive status (PCS) was introduced, and four distinct PCS categories were identified by using the stock price changes during the selected period. The four distinct PCS categories are "sustaining," "drifting," "deep sunken," and "bouncing back." Discriminant analysis was performed on these four distinct PCS categories. The empirical study conducted showed that revenue and cost efficiency are the most discriminating factors, especially in the economic recovery period. In particular, stronger financial liquidity was observed in high-performing "bouncing back" companies than in the other category companies.

• Journal of Korean Port Research
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• v.7 no.1
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• pp.13-24
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• 1993

The rapid progress of the intermodal freight transportation in recent years has induced fierce competition among the adjacent hub ports for container transport. This brings increased attention to the evaluation of the port competitive ability. But it is not easy to evaluate the port competitive ability because this belongs to ill-defined system which is composed of ambiguous interacting attributes. Paying attention to this point, this paper deals the competitive ability of container port in Far-East Asia by fuzzy integral evaluation which is adequate to interacting ambiguous attribute problem. For this, the proposed fuzzy evaluation algorithm is applied to the real problem, based on the factors such as cargo volumes, costs, services, infrastructure and geographical sites These are extracted from the precedent study of port competitive ability, etc. The results show that the port evaluation factors come in following order ; services, costs, infrastructure, geographical sites and cargo volumes. There are some interactions(interaction coefficient, ${\lambda}=-0.664$ between evaluation attributes. The port competitive ability comes in following order : Singapore, Hongkong, Kobe, Kaoshiung and Busan. According to the sensitivity analysis, the rank between Busan and Kaoshiung changes when ${\lambda}=0.7$. From the analysis of the results, we confirmed that the proposed fuzzy evaluation algorithm is very effective in the complex-fuzzy problem which is composed of hierarchical structure with interacting attributes.

• The Journal of Industrial Distribution & Business
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• v.12 no.9
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• pp.19-29
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• 2021

Purpose: To thrive a competitive advantage in the highly competitive global market, a company must establish a strong startup culture, which creates a workplace environment that values innovation and creativity in solving business-related problems. This study investigates the importance of enhancing startup culture in a competitive environment to improve organizational performance, production and hence produce higher returns. Research design, data and methodology: We conducted the qualitative content analysis and its steps seek to ensure that the researcher adheres to a systematic analysis of the data. The method is used for subjective examination of content in any text data and the five steps minimize cases of errors or repetition in used content. Results: Our investigation based on previous literature resources indicates that leading strategies and creating a pleasant working environment are vital behaviors that companies should consider adopting and implementing to achieve a beneficial startup culture full of productivity and massive returns. Conclusion: This research aimed to discuss the necessity of startup culture's enhancement for for-profit companies and found that the adoption of a startup culture in a company is critical to its success. It is vital to building a solid startup culture to grow and gain a competitive advantage in the highly competitive business world.

• 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.