The purpose of this study is to examine structural relationships among the capabilities, processes, and performance of knowledge management, and suggest strategic directions for the successful implementation of knowledge management. To serve this purpose, the authors conducted an extensive survey of 68 knowledge management-adopting Korean firms in diverse industries and collected 215 questionnaires. Analyzing hypothesized structural relationships with the data collected, they found that there exists statistically significant relationships among knowledge management capabilities, processes, and performance. The empirical results of this study also support the wellknown strategic hypothesis of the balanced scorecard (BSC).
This paper proposes a DEA-based approach to credit scoring. Compared with conventional models such as multiple discriminant analysis, logistic regression analysis, and neural networks for business failure prediction, which require extra a priori information, this new approach solely requires ex-post information to calculate credit scores. For the empirical evidence, this methodology was applied to current financial data of external audited 1061 manufacturing firms comprising the credit portfolio of one of the largest credit guarantee organizations in Korea. Using financial ratios, the methodology could synthesize a firm's overall performance into a single financial credibility score. The empirical results were also validated by supporting analyses (regression analysis and discriminant analysis) and by testing the model' s discriminatory power using actual bankruptcy cases of 103 firms. In addition, we propose a practical credit rating method using the predicted DEA scores.
In recent years, crowdfunding has emerged as a new fundraising technique for startup ventures. Crowdfunding allows small businesses and startups to seek funding from a large number of private investors, the so‐called “crowdfunders.” Crowdfunding is beneficial for startup ventures by offering a variety of financial and nonfinancial benefits such as helping to solve funding difficulties, providing value‐added involvement, facilitating access to further funding, and providing publicity. In contrast, diffusion processes of new business innovations have become increasingly complicatedly and multifaceted in recent years. Potential users today are exposed to a wide range of influences that include word‐of‐mouth communications, network externalities, and social signals. Despite the advantages associated with crowdfunding, the crowdfunding industry faces slow rates of diffusion in the Chinese market because crowdfunding ventures often fail to translate into adoption behavior. This study investigates the enablers and inhibitors of crowdfunding adoption intention from the perspective of startups by employing the two‐factor theory, status quo bias theory, and innovation diffusion theory. These theories allow crowdfunding researchers and platform managers to test the relative influence of both reasons for (enablers) and reasons against (inhibitors) crowdfunding adoption in a single framework. In conclusion, considering the phenomenon of startups in China, the results of this study will fill the paucity of empirical research in the innovation resistance area, shedding light on the motivation of entrepreneurs to avoid crowdfunding as a financing course as well as providing crowdfunding managers and policymakers with strategic recommendations.
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