• Journal of Navigation and Port Research
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• v.30 no.7
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• pp.579-583
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• 2006

The purpose of this paper is to study a relationship between alliance success factors and performances of strategic alliance. In order to achieve the purpose of this research, factor analysis, reliability and validity and regression method are used. In conclusion, alliance success factors can be divided as mutual complementarity and information sharing factor, sharing and mutual agreement of vision and goal factor, performance management factor and culture and organization factor. According to regression results, all of four factors affects significantly dependent variables. Among them, mutual complementarity and information sharing mostly affects each dependent variable.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.41-62
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• 2003

This study investigated the current status and characteristics of strategic alliances attempted by domestic internet businesses. Specifically, this study surveyed competitive environmental characteristics of partner companies involved, alliance period, types of partner companies, motives of alliances, types of alliances, success and failure factors and satisfaction toward the alliances. Major findings were: first, alliances between portal companies and content producers; portal companies and internet services; e-commercial sites and internet services were the most frequent partnerships engaged. Second, the most important motive for and type of the strategic alliance were: 'the commercialization and marketing of new product' and 'joint distribution and marketing agreement' respectively. Third, the most important factor for the successful alliance was 'a close examination of partners' core business value and competence'; and the factor most hindering the successful alliance was 'a discrepancy on capabilities of partners' core personnel. Finally types of internet business were significantly related to perceived satisfaction toward strategic alliance.

• Journal of Korea Port Economic Association
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• v.27 no.3
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• pp.247-272
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• 2011

Because of operating and ordering vessels over 10,000 TEU, the strategic alliance between liner shipping companies will be diversified and activated more briskly to secure cargo quantities, minimize costs, secure profits, improve service quality and manage stable business. Many of prior studies concerning strategic alliance are carried out to clarify success factors, motives or to explain how to select a good partner for success. But over 70% of strategic alliance has been resulted in failure. Because failures of strategic alliance occur much more frequently than success, negative effect factors in strategic alliance have to be measured and be adapted to changing conditions in the shipping market. To improve negative effect factors, shipping companies should make an effort to establish reliable relationships between partners and suppress claims by clearing off imprecise contract terms. And it is necessary to increase satisfaction of each individuals and minimize complexity occurred due to the exterior relationships for the successful strategic alliance.

• The Korean Journal of Franchise Management
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• v.2 no.1
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• pp.134-151
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• 2011

The strategy for brand alliance is a new type of franchise to iron out the problems like the hotel restaurant's structural contradiction and decreasing profits caused by keen competition with external restaurants. This study is purposed to present the decisive factors for the brand alliance throughexamining the correlations between the brand restaurant designation standards and the expected effects from local low- and mid-priced hotel's brand alliance. The questionnaires were distributed to instructors and professors who have experience in teaching the food and beverage sections at college's hotel and tourism departments and 100 specialists at managerial level of a hotel's food and beverage parts.This survey was conducted for 20 days from December 2 to 22, 2004 and analyzed by independent t-test and canonical correlation analysis. The findings of this survey are as follows.Firstly, the service of the expected effect factors of the brand alliance was recognized relatively high by the specialists in hotel industry, while the sales effect factor of restaurant designation standards was recognized higher by the academic experts.The specialists of the hotel industry recognized the factors of menu and corporate culture higher than the academic experts. Secondly, the entire factors of the brand restaurant designation standards showed a correlation with the whole factors of the restaurant designation standards.In particular, the 'menu' factor presented the most influential to the expected effects of brand alliance.The factors of 'risk reduction' and 'synergy effect' exerted the strongest effect on the restaurant designation standards, which indicated the mutual correlation between the expected effect of brand alliance and the restaurant designation standards. Based on this study, the correlation between the expected effect of brand alliance and brand restaurant designation standards may play a primary role to choose a partner for the brand alliance, a decisive factor for the success.The execution of the brand alliance or the method to designate the alliance partner may vary from the hotel's desirable effects when the brand alliance is determined.In other words, the partner designation standards should be corresponding to the expected effects from the brand alliance between hotel and brand restaurant, and the academic and industrial experts' perceived differences in the expected effects of brand alliance and restaurant designation standards should be clarified to display the direction of decision-making and find the potential risks.

• Journal of Information Technology Applications and Management
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• v.14 no.1
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.4
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• pp.81-89
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• 2011

In recent business environments, the competition among firms is shifting from the competition based on individual firm only to the competition based on alliance of firms. This is because it is not easy for a firm to perform all functions which consumers want. Thus, it is more effective to combine core competencies of different firms based on a strategic partnership. It is essential to establish a strategic partnership and this strategic partnership is a key success factor in PSS(Product-Service System) which combines products and services. In this paper, we propose a profit sharing model for PSS partnership. We first analyze customer's utility using Cobb-Douglas utility function and then propose the PSS profit sharing ratio considering functionalities and cost structures based on the combination ratio of PSS. This paper helps firms to develop partnership strategies for PSS.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.195-212
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• 2014

This study was performed in order to contributing the influence factors in the real estate marketing strategy which largely affects the success of a real estate sale and development projects. Articles have to be concluded with the Influence factors of Satisfaction based on the type of Real Estate through PLS Regression Analysis. Building data was conducted by the target population specializing in the real estate sale and development business. Classification of real estate business classified by the way of the residential and non-residential parted. In the case of Housing type in the analysis result, the main factors were made by calculating the each factor such as brand trust, Strengthening the alliance and partnership, Traffic environment, Relaxing the requirements for a Real estate sales, Business presentation, Unsold benefits and Relaxing the requirements for payment. Otherwise, In the case of non-residential in the analysis result, the factors such as Relaxing the requirements for payment, Customer Orientation, living environment, Unsold benefits, Strengthening the alliance and partnership and communication terms made an influence to satisfaction.

• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.243-257
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• 2004

Alcohol consumption is a major source of health problems, for example, alchol consumption is related to liver diseases. In addition, the social and economic costs related to alcohol consumption are enormous. This study was conducted to evaluate the current status and influencing factors related to the recognition and behavioral intention for both drinking and alcohol-reduction programs. Three effective alcohol-reduction programs of clinic program, mass education, and alliance were considered. To explain the health behavior for drinking and alcohol-reduction programs, a five-stage behavioral intention model was built and 500 questionnaires were completed through a telephone survey. Stages of the model composed of recognition of the programs, past experiences, present drinking status, intention for drinking, and behavioral intention for alcohol-reduction programs. As a result, recognition rates of the programs were low in general, therefore the strategies of education, public relations, and advertisement need to be pursued. The alcohol dependency resulted in the fact that success rate was 30％ although trial rate of alcohol-reducing was 23％. The necessity of alcohol-reduction programs were suggested. In addition, significant factors related to the intention for alcohol-reducing were individual attitude and reluctancy to pay their time and money. An insignificant factor was the attitude to their alcohol-reduction by other people. Behavioral intention rates for alcohol-reducing clinics were 4％, and those for mass education were 8％. There were very low purchase rates for clinic program, mass education, and alliance. In conclusion, evidenced-based and effective alcohol-reduction programs need to be encouraged to drinkers by medical doctors, and the strategies of education, public relations, and advertisement are also recommended. In addition, continuing legal and systematic support for alcohol-reducing would lower the drinking rate and ultimately contribute to the nation's health promotion.

• The Journal of Information Systems
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• v.15 no.3
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• pp.1-34
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• 2006

The purpose of this study Is to develop empirically validated instrument for business model. The previous researches related to business model were almost taxonomies. And the focus of those researches were the classification by the degree of integration and innovation the origin, and the main source of revenue etc. In the emerging fields such as IT, e-commerce, and e-business, it tends to overlook methodological issue in its substantive relationships and also measurement. Business model is taken an interest in recent years. However, as the non-establishment of construct on business model has made no empirical study, this, study tries to develop an empirical validated instrument that identifies the dimensions of business model by uncovering meaningful group or categories. For this, the outlined domain of business model are defined as an organizational level that competes in the industry through the literature reviews. And the traits such as process integration, value chain reconstruction, strategic alliance with another business model, specialty in a certain wet sustainability of essential capabilities, differentiation, convertibility, customer orientation, revenue stream, newness, innovation leadership: and vision sharing are identified in those respective domains, and then the traits are classified into five dimensions such as interlinkageableness, valueness, functionalness, preemptiveness, and goalness by their characteristics. Generating items are continued on the basis of operationalization. Confirmatory factor analysis is performed in order to develop validated instrument with LISREL measurement model. Finally the instrument is developed through the previous procedure. The implication of this study is the first empirical effort to assess business model. The resulting instrument can be used with dependent variables in the future study related to business model. And the establishment of construct of business model is able to make a basis to rise an additional issue consequently. In the practical side, the instrument also can be employed as an assessment framework that can assess whether the expected value success or not. The instrument with the measurement can be used on competitor's business model, In. When an investment into a i-m with a specific business model, these instrument developed can be presented as the basic framework of assessment.

• Korean Business Review
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• v.13
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• pp.223-246
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• 2000

The major entity supplying the supporting infrastructure of the venture creation is the venture capitalists, university(and research center), and government. Especially, the role of the university and academic entrepreneurs is the key factor in the process of the technology transfer. The capacity(or role) of the academic entrepreneurs to craft a vision, and then to lead, inspire, and persuade key members makes an enormous difference between success and failure. And the supporting model of academic entrepreneurial venture creation requires that the systematic supporting system as well as the institutional framework for handling the conflicts among the members of a committed venture team. Among the a variety of organization, the university needs to supply the, formal supporting program such as technology transfer, university-industry cooperation, venture development, and the perception of the mere presence of policies and programs designed to encourage entrepreneurial activities for fostering economic development. Besides, careful consideration must be given to the role universities should play in the regional economy and what policies are appropriate to allow it to play that role effectively. On the basis of the above literature review results, this article suggests the supporting model for the venture creation by the strategic alliance composed of the industry, university, and government considering both of the entities's role and the motives of academic entrepreneurs in venture creating process.