• 대학교육
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• s.160
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• pp.25-33
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• 2009

• 대학교육
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• s.160
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• pp.131-135
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• 2009

• 대학교육
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• s.155
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• pp.133-140
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• 2008

• 대학교육
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• s.180
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• pp.72-75
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• 2013

• 대학교육
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• s.148
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• pp.119-122
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• 2007

• 대학교육
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• s.152
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• pp.123-125
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• 2008

• 대학교육
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• s.154
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• pp.117-123
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• 2008

• Journal of Technology Innovation
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• v.30 no.2
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• pp.29-58
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• 2022

Startups lack resources and manpower to build internal capabilities to strengthen market competitiveness; external cooperation such as joint research and networking plays is important. In this study, we analyzed the effect of startups' industry-university cooperation on organizational learning capability and innovation performance. Empirical results demonstrate the mechanism by which government R&D investment strengthens organizational learning capability and creates innovative results by promoting cooperation between startups and universities. First, industry-university cooperation strengthened organizational learning capability. An empirical analysis shows that startups increase internal capabilities through external cooperation. Second, startups' organizational learning capability had a significant effect on innovation performance. We analyze how organizations with high learning capabilities positively develop corporate innovation performance by having a culture of discovery and sharing new ideas. Finally, industry-university cooperation had different effects on organizational learning capability and innovation performance according to the previous experiences of startup founders. In particular, small- and medium-sized (startup) businesses and individual-based experience groups positively affected the creation of organizational learning capabilities and innovation performance through industry-university cooperation. Small- and medium-sized businesses and individual founders have a relatively small cooperative network with the outside world compared to founders of large companies, universities, and research institutes; therefore, they strengthen organizational learning capabilities through cooperation with universities. This study demonstrates that government should create policy inducements for cooperation with universities to maximize the R&D performance of startups. Criticism exists that lending support to startups and universities will hinder innovation performance; nevertheless, government investment plays a role in expanding intangible resources such as accumulating technologies, fostering high-quality human resources, and strengthening innovation networks. Therefore, the government should appropriately utilize the its authority to strengthen investment strategies for startup growth.

• International Area Studies Review
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• v.15 no.3
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• pp.605-625
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• 2011

Doing business in multiple countries, multinational corporations (MNCs) are warmly welcomed for additional choices of products and services available to local consumers. But in other markets, they are viewed negatively as a means of cultural imperialism even though MNCs do not change their strategies much. While the literature remains muted about such unpredictable consumer reactions, this study explores how consumers form their cultural imperialism perceptions on incoming MNCs using the consumer attitude theory.

• Asia Marketing Journal
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• v.10 no.1
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• pp.1-23
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• 2008

It is natural that firms would like to increase their profits and value through customer satisfaction (CS). It is therefore important for the academic and practical purposes to investigate the relationship between CS and firm's performance. Previous studies about this relationship have examined mainly the current effect of CS on firm's performance. According to the research that many marketing activities have dynamic effects over time, however, the dynamic effect of CS on firm's performance needs to be tested. Failure to assess the dynamic effects might lead to the underestimation of the impact of CS. This study thus attempts to investigate the dynamic effects of CS on firm's profitability and value by panel data analysis. The results show that CS has dynamic effects on firm's profitability and value. There was a significant improvement in model fit compared with the model examining the current effects only. On the other hand, it was difficult to interpret the estimation results of the alternative model incorporating two lagged variables of CS, and there was also a multicollinearity problem.