• The Journal of Industrial Distribution & Business
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• v.10 no.3
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• pp.7-16
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• 2019

Purpose - The purpose of this paper is to investigate the determinants of corporate anti-corruption practice disclosure (ACPD) from the perspective of rent-seeking theory. Research design, data, and methodology - Data are hand-collected from corporate social responsibility reports (CSRR) issued by 724 A-share listed firms in China. This paper provides an empirical analysis of the relationship between ownership structure and corporate ACPD as well as its moderating role in the institutional environment. Results - Our findings indicate that rent-seeking is a key factor in influencing corporate ACPD. State-owned enterprises disclose significantly more anti-corruption information than private ones in order to achieve personal promotion of top executives. Monopoly enterprises reported significantly less anti-corruption information than enterprises in competitive industries due to their rent-seeking behavior. The reduction of government intervention and improvement of legal environment are helpful to curb corporate rent-seeking activities and enhance the level of corporate ACPD. Conclusions - Rent-seeking is an important factor in explaining corporate voluntary disclosure in emerging countries. Institutional environment also plays a moderating role in the relationship between ownership structure and corporate voluntary disclosure. Our results are of interest to policy makers, regulators and market participants that are interested in corporate voluntary disclosure and corruption prevention.

• Knowledge Management Research
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• v.18 no.3
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• pp.1-35
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• 2017

This study conducted comparative study on autonomous car's industry policy and corporate strategy of US, China, Germany, Japan and Korea. By analyzing core technologies and industry paradigm shifts of autonomous car industry, I was able to figure out autonomous car has high potential to be dominant transportation in the future and it is important to construct core competency in technology area. The meaningful findings by analyzing various primary and secondary data are as followings: First, in case of US, Google was leading autonomous car industry by developing its own OS and Platform. US government has been actively supporting and interacting with private firms and Universities for stimulating industry/technology convergence and establishing standard. Second, in case of Germany, autonomous car development was leading by several auto makers such as Mercedes, BMW in Hardware and manufacturing area, and German government was focusing on deregulations for private company. Third, in case of Japan which quite similar with German situation, they were both independently developing technology and expanding alliances with MNCs. And Japanese government was supporting triple helix system construction between local companies and universities. Fourth, in case of China, autonomous car industry was leading by IT companies, and various cooperations between IT companies and automakers were established. Chinese government was regulating foreign companies and supporting domestic companies both in market and technologies Last, in Korean case, the active and extensive alliances were lacking in Korean companies while strategic and strong government supports were missing in public sector. For competing with other countries and players, more active collaboration between different countries and strong policy supports are needed in Korean auto industry.