• Journal of Applied Tourism Food and Beverage Management and Research
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• v.16 no.2
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• pp.135-151
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• 2005

In accordance with changes in life style, people's desire to eat out is getting changed in their preferring factors from whether they can buy food they want to eat fast and easily to mood of the dining space, content and quality of service, hygiene condition of restaurant, quiet location and surrounding circumstance, and discount coupon and price destruction. In addition, consumers who begin to recognize the seriousness of environmental pollution prefer health-oriented food. On the other hand, excessive presence of competitors, growing personnel expense, increasing expenditure in accordance with swelling price of rent and material expenditure, increase of tax burden, decrease of income because of credit card service charge and high expected level by consumers make it difficult for restaurant's owners to manage restaurant business. Therefore, this study purposes to establish development of menu from the consumer's and the supplier's point of view and propose how to develop menu aiming at convenience, health and diversity.

• Korean Management Science Review
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• v.31 no.4
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• pp.135-150
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• 2014

This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.223-234
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• 1997

Companies often have to locate their facilities considering competitors' response to their locational decision. One model available in the literature is due to Dobson and Karmarkar, in which a firm has to decide locations so as to prevent competitors from entering the market after the firm's entry. In this paper, we provide new compact binary integer program formulations for their competitive location model and also present an efficient Genetic Algorithm(GA) for finding a (near-)optimal stable set. The GA we propose utilizes a penalty function to handle the feasibility of the problem and modified elitism for better performance of the algorithm. Computational comparisons indicate the superior performance of the GA over the Dobson and Karmarkar's branch and fathom algorithm.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.27-40
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• 2010

This case study covers the Knowledge Management research paper that explores the clear idea about the knowledge practicesthat are used in the corporate sector to achieve the strategic advantage over the competitors. The quoted example of the three manufacturing firms TATA MOTORS, BHEL, and M&M have tried to compare the Knowledge practices in these firms, which explores the concept clearer that the competitors can use the same or the different type of knowledge practices to achieve the competitor advantages. In order to help knowledge management goals, an integrated knowledge management system consisting of the knowledge management techniques and technologies are used. The knowledge Management is supported by different techniques and practices whichare knowledge content, people skills, technology and strategy based. The technology and techniques supports these factors of knowledge management. The paper discuss different techniques and processes adapted by three Indian organizations and a comparison is made to suggest the guidelines of KM practices to manufacturing Industries.

• The Journal of Information Systems
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• v.17 no.3
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• pp.59-77
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• 2008

This study compares the reasons why targe and Small companies are adopting electronic commerce(e-commerce) based on an assumption of difference between two groups of companies. We collected data for contemporaneous analysis by classification with two groups of companies in Korea and developed an integrated model from the empirical studies and made Question papers for inspection of created hypothesis. Hypothesis is composed with nine factors ; Customers, Suppliers, Pertner Firms, Competitors, Relative Advantage, Cost Compatibility, CEO's Innovativeness and CEO's Involvement. The research shows Large company is influenced significantly by Customers, Relative Advantage, Cost, CEO's Innovativeness and Small company is by Competitors, CEO's Involvement.

• International journal of advanced smart convergence
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• v.7 no.1
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• pp.15-23
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• 2018

Spectrum allocation is a key operation in cognitive radio networks (CRNs), where secondary users (SUs) are usually selfish - to achieve itself utility maximization. In view of this context, much prior lit literature proposed spectrum allocation base on non-cooperative game models. However, the most of them proposed non-cooperative game models based on complete information of CRNs. In practical, primary users (PUs) in a dynamic wireless environment with noise uncertainty, shadowing, and fading is difficult to attain a complete information about them. In this paper, we propose a non-cooperative game joint hidden markov model scheme for spectrum allocation in CRNs. Firstly, we propose a new hidden markov model for SUs to predict the sensing results of competitors. Then, we introduce the proposed hidden markov model into the non-cooperative game. That is, it predicts the sensing results of competitors before the non-cooperative game. The simulation results show that the proposed scheme improves the energy efficiency of networks and utilization of SUs.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.61-68
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• 2021

The paper is based on data collected from the Amazon website (specific in the Handmade's Category) to understand and analyze Vietnamese artisans' business context. Data analysis is also applied to determine the factors that bring success Handmade products and compare products of the same industry among competitors to find out potential products. By collecting data from Amazon and analyzing the data, we extracted useful information for online business developers. Besides, the list of potential products in Handmade sector can be referred to improve the business and compete with competitors. This paper also proposes solutions to help Vietnamese products become more appealing to international customers on the Amazon website.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.161-167
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• 2009

This paper offers a competitor analysis model for use by contractors as parts of more informed approach in identifying key competitors, and as a basis for formulating bidding strategies. Linear mixed model approach is used in measuring competitiveness between bids (by using bid competitiveness percentage) according to: (i) project size, (ii) work sector; (iii) work nature; and (iv) number of bidders. The model was tested empirically by application to a bidding dataset obtained from a large Hong Kong contractor. Allowing for heterogeneity across competing contractors (i.e. with the model parameters that varied across contractors), the results indicate that competitiveness in bidding of this contractor is generally greater than the majority of his competitors.

• Journal of Distribution Science
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• v.14 no.11
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• pp.61-73
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• 2016

Purpose - Marketing scholars have developed various types of mathematical models for describing marketing phenomenon, because there is no single model comprehensive enough to incorporate all the relevant marketing phenomena. This study tries to summarize the behavioral foundations and the mathematical derivations of the most widely used marketing models and discusses their strategic implications. This study selected four representative marketing models: multinomial logit(MNL) model, elimination-by-aspects(EBA) model, Hauser and Shugan model and Bass diffusion model. Especially, this study focuses on Hauser and Shugan(1983)'s Defender model and discusses the model's behavioral foundation and its implications. Research design, data, and methodology - Of the four selected model, the multinomial logit model is selected as the basic normative model and the other three models are described as descriptive models in contrast. Starting the discussion from the multinomial logit model, this study explains what important strategic variables are incorporated in each of the four models. The IIA(independence of irrelevant alternatives) axiom and Luce choice model is also discussed in relation to the multinomial logit model. The concept of 'efficient frontier' is discussed in relation to Hauser and Shugan's model. Graphs and tables are used to represent the key implications. No empirical study is included. Results - The analyses of the mathematical marketing models are shown to be very useful in understanding the essence of positioning strategy. The multinomial logit model implies the importance of increasing utility or consumer preference level. The EBA model implies the importance of lowering the inter-brand similarity and dominating the competitors. Hauser and Shugan model implies the importance of considering customer heterogeneity distribution in selecting the target market. Conclusions - It is shown that the concepts of 'efficient frontier' is useful in understanding the effectiveness of positioning strategy. Market positioning can be understood as occupying some place on the efficient frontier. The important strategic implications can be summarized as follows: Always try to increase customer preference by providing what they value, and differentiate from competing alternatives as much as possible. The best positioning strategy is to dominate all the competitors and the worst is to be dominated by the competitors.

• BMB Reports
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• v.31 no.5
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• pp.519-523
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• 1998

We have previously reported that anti-glucose-6-phosphate dehydrogenase (G6PD) serum raised against native G6PD (nG6PD) enzyme recognized nG6PD antigen poorly in competitive enzyme-linked immunosorbent assay (ELISA) (Kim, 1997). In the present study, we investigated whether anti-G6PD serum raised against nG6PD can react with denatured G6PD effectively in competitive ELISA. We used partially active G6PD (paG6PD) by repeated freeze-thawing or SDS-denatured G6PD (SDS-G6PD) as both immobilized and soluble antigens, and anti-G6PD serum raised against nG6PD for competitive ELISA. The polystyrene cuvettes coated with either paG6PD or SDS-G6PD were challenged with a mixture of a limiting amount of anti-G6PD serum and various doses of paG6PD or SDS-G6PD as competitors, followed by incubation with alkaline phosphatase-anti-IgG conjugate. The competitive ELISA with paG6PD or SDS-G6PD antigen exhibited the sigmoidal dose-response curve characteristic of competition immunoassays. Furthermore, Triton-denatured G6PD (Triton-G6PD) was used in competitive ELISA. The paG6PD, SDS-G6PD, or Triton-G6PD used as competitors increased the inhibition of antibody binding to immobilized either of nG6PD or denatured G6PD compared with nG6PD competitor. The inhibition by denatured G6PD competitors was more pronounced at high competitor concentrations than at low counterparts. We conclude that anti-G6PD serum raised against nG6PD can effectively react with denatured G6PD in competitive ELISA and that our anti-G6PD serum recognizes denatured enzymes better than active enzymes.