作者机构：
[Hao, Juan; Chang, Ke-Chiun; Wu, Ming-Fu] School of Economics and Management, Wuhan University, Wuhan 430072, China;[Chang, Keng-Wei] Department of Business Administration, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan;[Zhou, Wei] College of Public Administration and Law, Hunan Agricultural University, Changsha 410128, China;[Yuan, Chien-Chung] Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei, 24205 Taiwan
摘要：
This study applies two variables in the measurement of company patent deployment strategies: patent family depth and earn plan ratio. Patent family depth represents the degree to which certain fields and markets are valued by the patent owner. Earn plan ratio defined as the ratio of the number of patent forward citations to patent family size. Earn plan ratio indicates the degree to which a patent family could be cited by later innovators and competitors. This study applies a logistic regression model in the analysis LED industry data. The results demonstrate that patent value has a positive relationship with the patent family depth, and earn plan ratio.
期刊：
Journal of the Association for Information Science and Technology,2015年66(12):2697-2703 ISSN：2330-1643
通讯作者：
Zhang, Sifei(dr.sf.zhang@gmail.com)
作者机构：
[Zhang, Sifei] Institute for the Development of Central China, Wuhan University, Wuhan, China;[Chang, Ke-Chiun] School of Economics and Management, Wuhan University, Wuhan, China;[Zhou, Wei] College of Public Administration and Law, Hunan Agricultural University, Changsha, China;[Yuan, Chien-Chung] Department of Business Administration, National Yunlin University of Science and Technology, Yunlin, Taiwan
通讯机构：
[Zhang, Sifei] Wuhan Univ, Inst Dev Cent China, Wuhan 430072, Peoples R China.
关键词：
business;management;innovation
摘要：
This study employs a panel threshold regression model to test whether the patent h–index has a threshold effect on the relationship between patent citations and market value in the pharmaceutical industry. It aims to bridge the gap in extant research on this topic. This study demonstrates that the patent h–index has a triple threshold effect on the relationship between patent citations and market value. When the patent h–index is less than or equal to the lowest threshold, 4, there is a positive relationship between patent citations and market value. This study indicates that the first regime (where the patent h–index is less than or equal to 4) is optimal, because this is where the extent of the positive relationship between patent citations and market value is the greatest.
摘要：
Research funding in Taiwan's technological and vocational universities is mainly sourced from those scientific and technological projects which were assigned by government, industries or other organizations. It plays an important role in influencing innovation activities, development of new knowledge, and advancement of new-generation technologies. As technology dynamics over time, technological and vocational universities have missions to associate with that. To achieve their missions, more funding supports from university/industry/government are demanded. By analyzing data for Taiwan technology and vocational universities, the object of this study is to investigate a series of indices such as number of patents, patent nationality, number of paper publications, category of paper publications, and their funding sources. We also examine whether and how the faculties' age, education level, academic level, and research performance affect the three types of funding sources from governments, industries, and other organizations. The results have indicated that funding sources in Taiwan's technological and vocational universities are closely referred to the number of patents and paper publications, suggesting that the faculties needs to justify their paper publication and patenting strategies accordingly. Moreover, faculties' age, and academic level have played a positive influence on obtaining funding. Policymakers and universities could consider the general distribution and tendency of the three types of research funding investment and give proper incentives to guide their faculties' research interests and achievements.
期刊：
The International journal of social psychiatry,2018年64(4):20764018754596 ISSN：0020-7640
通讯作者：
Sun, F
作者机构：
[Sun, Fei] 2 School of Social Work, Michigan State University, East Lansing, MI, USA;[Anderson, Steven] 3 School of Social Work, University of Illinois at Urbana-Champaign, Champaign, IL, USA;[Li, Wanlian] 1 School of Social Work, College of Public Administration and Law, Hunan Agricultural University, Changsha, China
通讯机构：
[Sun, Fei] Michigan State Univ, Sch Social Work, 655 Auditorium Rd, E Lansing, MI 48824 USA.
摘要：
PURPOSE: This study aimed to examine differences in depressive symptoms between urban and rural workers in mainland China and to identify community factors that could contribute to such residential differences. METHODS: This study used nationally representative data from the 2014 China's Labor Force Dynamic Survey. Data were collected through face-to-face interviews on a sample of 22,073 participants from 29 provinces of China, including 15,098 rural workers (Mage = 44.92, standard deviation ( SD) = 14.85) and 6,975 urban workers (Mage = 43.28, SD = 13.62). Mediators included community cohesion, foreseeable community threat, supportive network size and medical benefit coverage. Mediation analyses were conducted using Hayes' SPSS Macro Process for multiple mediators. RESULTS: Urban participants reported fewer depressive symptoms than their rural counterparts. Lower levels of community cohesion, higher community foreseeable threat and poorer medical coverage were related to fewer depressive symptoms. Rural-urban differences were mediated by community cohesion ( B = -0.12, p < .01), foreseeable community threat ( B = -0.08, p < .01) and medical benefit coverage ( B = 0.25, p < .01). CONCLUSION: This study sheds light on distinctive roles of community factors in explaining rural-urban differences in depressive symptoms. Policies or programs should be designed to promote strengths and address weaknesses in rural communities.
摘要：
The glass ceiling problem has been a hot topic in research of female senior leadership in companies, especially in e-commerce companies. It has become a worldwide debate of which promote barriers and weakness for female managers are discussed. China has present a sharp rise this year from 25% to 51% female senior management position, however, by sampling survey in this study, we found that female senior managers still in a disadvantageous position. This study sampling investigated 200 China listed companies in e-commerce industry to explore the pattern of female senior business leadership. The results in this study reveal that 75% of sample companies held no more than 3 female senior managers, 97% of female members in board of directors. By studying patterns of female senior manager leadership, this study provides evidences of status quo of Chinese female senior managers and therefore draws attention to glass ceiling problems at the highest levels within China listed companies.
摘要：
With the expansion of the enrollment scale of colleges and universities, the entrepreneurial situation of college students has become increasingly severe. The government-school linkage mechanism of college students' entrepreneurship is studied based on fuzzy decision tree algorithm, a fuzzy decision tree algorithm for college students' entrepreneurship is proposed, and this algorithm is used to establish and test the government to promote the protection mechanism, adjust the teaching reform in schools, and establish active adjustment. Mechanisms, the two linked together, the establishment of government-university linkage, and jointly promote college students start business, so as to effectively solve the problem of college students' entrepreneurial difficulties. The results show that: the fuzzy decision tree algorithm is introduced into the employment data mining of colleges and universities to solve the problems of data ambiguity and uncertainty.
