• Korean Journal of Human Ecology
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• v.23 no.3
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• pp.395-408
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• 2014

The purpose of this study was to identify the effects of parent-child relationship perceived by university students on value of marriage and partner selection criteria. Questionnaires were distributed to 467 university students with questions covering topics including general personal information and characteristics, parent-child relationship, value of marriage and partner selection criteria. To analysis the data, t-test, ANOVA, and two step cluster analysis was used. The female group A with passive parent-child relationship had high level of negative value of marriage, male group D with active parent-child relationship had high level of romantic and instrumental value of marriage. The male and female passive group considered external condition as a partner selection criteria more than male and female active group does. As a partner selection criteria, passive male group recognized internal condition more than passive and active female group does. and active female group recognized situational condition more than passive male group does. This study reveals that university students' parent-child relationship does have an effect on their value of marriage and partner selection criteria. It is therefore proposed that diversify objectives and education content of family life education should relate not only to individuals' value of marriage but also to their parent-child relationship.

• Journal of Korea Technology Innovation Society
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• v.17 no.3
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• pp.540-562
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• 2014

Although the impact of technological partner selection on the success of technological alliance is critical, little attention has been paid to the area of technological alliance partner selection criteria and the relationship between partner selection criteria and success factors of alliance. This study bridges this gap by understanding previous studies of general alliance partner selection criteria such as marketing, international, logistics and production alliances. I drew technological alliance partner selection criteria using AHP method with 12 experts who are currently in charge of technological alliance activities at Korean Venture Companies. This study found 4 criteria such as 'task-related', 'partner-related', 'learning-related', 'risk-related' criteria with 14 items and the relative importance of technological alliance partner selection showed as follows: 'risk-related', 'learning-related', 'partner-related', 'task-related' criteria. In order to test the relationship between technological partner selection criteria and performance, I used 215 survey data of Korean Venture Companies. The results showed that 'partner-related' and 'task-related' criteria had strong positive impacts on the success of technological alliance. Further, I put 4 moderating variables into the study model in order to see their moderating effects. However, no moderating variable showed significant effects. In conclusion section, I discussed the findings and implications of this study and directions for future studies.

• Journal of Technology Innovation
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• v.24 no.1
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• pp.25-48
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• 2016

With the drastic changes toward open innovation, there have been many studies focusing on analyzing the characteristics of open innovation and fostering the open innovation. The most prominent research in open innovation literature is related to the partner selection. In partner selection process, what is important is to identify the expected performance when conducting open innovation with this partner. Therefore, this study suggests an integrative framework of BSC-AHP to support the effective partner selection. The aim of this study is to select the most desirable partner which maximize the performance of the firm after conducing open innovation. This paper employs BSC framework to prepare and characterize relevant decision criteria for the partner selection, and employs AHP to evaluate the partner alternatives under the prepared decision criteria.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.

• Asian Journal of Innovation and Policy
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• v.4 no.2
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• pp.178-199
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• 2015

This study provides a background on the growth of Indian automobile industry under different regulatory regimes. It is observed that the international joint ventures have played a key role in the growth of the sector. The study further examines the motives for forming IJVs in the auto component sector and also identifies the criteria for choosing the joint venture partner to mitigate conflicts. These two specific attributes form the core towards transfer of technology, promoting innovation and also act as a catalyst for adopting and choosing appropriate technology. The study brings out the relationship between motives, partner selection criteria and performance of the IJVs. Results indicate that firms gave maximum importance to technological skills, quality control measures and proprietary knowledge in selecting IJV partners. It is also observed that the motives affect the partner selection criteria in terms of skill and resources needed from the partner.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.35
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• pp.147-178
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• 2007

This study clarified a study of relationship of strategic alliance structure factor, partner selection criteria and performance awareness on the container liners alliance. In order to obtain such objective of study existing literature variables suitable to the container liner were perused and extracted. Research models for research development and three study hypothesis were set out and scope of investigation and samples were chosen. The research hypothesis are followings. H1: The factors of strategic alliance motivation influence the performance awareness. H2: The strategic alliance structure factors influence the performance awareness. H3: The factors of partner selection criteria influence the performance awareness. In the result of the empirical study, the hypothesis 1, hypothesis 2 were supported completely and hypothesis 3 was partially supported.

• Korea Trade Review
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• v.46 no.2
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• pp.177-191
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• 2021

Based on the existing OFDI (outward foreign direct investment) literature, this study endeavored to verify how the corruption of host countries affects the partner strategy of EMNEs (emerging multinational enterprises) when EMNEs enter global markets through joint ventures. Following the existing literature, this study classified corruption and partner strategies into two categories, respectively. First, the corruption of host country was divided into grand corruption and petty corruption. Second, EMNEs' joint venture partner strategy was divided into home country partner joint venture and host country (i.e., local) partner joint venture. Our hypothesis suggested that the greater the host country's grand corruption, the more EMNEs would choose the host country partner, while the strong petty corruption leads to the preference of home country partner in host country. The hypotheses were verified with a sample of 890 foreign direct investment cases of Chinese multinational companies from 2005 to 2015. As a result of the study, regardless of the degree of corruption, it was found that they prefer joint ventures with home country partners when EMNEs enter the global market through joint ventures.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.47-64
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• 2011

In the IT(Information Technology) service, which supply the solutions related to business management and IT, network construction and application trends, the related service business are increasing according to the enlargement of project scope and the diversity of project types as the need of service customers. In this paper, I propose the significant effect factors on the network management of IT service firms. The key findings are from the analysis result about 94 IT service firms as follows. For implementation the high performance of network management in the IT service firms, the strategic elements in the process of network construction are more conceived highly than the basic element in them. Also the perspective of project objectives are considered than the nominal perspectives in the partner selection process. The competency of partner firms', the cooperation process between the partner firms', network relation operation management and network relation structure management are the significant effect factors of network management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6204-6210
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• 2013

This study examined adomestic firm's perspective on how their choice of partner selection criteria affects the mediating variables and the performance of international strategic alliances with particular reference to previous experience as a moderating variable. The findings of this study showed that the task-related and partner-related criteria are both positively related to trust and commitment but the results concerning the partner-related criteria repudiates the existing practices that domestic firms select foreign partners based on the partners' attributes because this weaken the commitment of the partnership. This study suggests that firms should revise their partner selection criteria, which will eventually lead to the more desirable performance of international strategic alliances.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.37-52
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• 2011

Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.