Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis
作者：
Chen, Qiang;Min, Chen;Zhang, Wei* ;Wang, Ge;Ma, Xiaoyue;...
期刊：
Computers in Human Behavior ,2020年110:106380 ISSN：0747-5632
通讯作者：
Zhang, Wei
作者机构：
[Ma, Xiaoyue; Chen, Qiang] Xi An Jiao Tong Univ, Sch Journalism & New Media, Xian, Peoples R China.;[Min, Chen] City Univ Hong Kong, Dept Media & Commun, Hong Kong, Peoples R China.;[Min, Chen] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan, Peoples R China.;[Zhang, Wei] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Med & Hlth Management, Wuhan, Peoples R China.;[Wang, Ge] Cent China Normal Univ, Coll Publ Adm, Wuhan, Peoples R China.
通讯机构：
[Zhang, Wei] 1;13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China.
关键词：
government social media;citizen engagement;dialogic communication theory;media richness theory;emotional valence;crisis management
摘要：
During times of public crises, governments must act swiftly to communicate crisis information effectively and efficiently to members of the public; failure to do so will inevitably lead citizens to become fearful, uncertain and anxious in the prevailing conditions. This pioneering study systematically investigates how Chinese central government agencies used social media to promote citizen engagement during the COVID-19 crisis. Using data scraped from ‘Healthy China’, an official Sina Weibo account of the National Health Commission of China, we examine how citizen engagement relates to a series of theoretically relevant factors, including media richness, dialogic loop, content type and emotional valence. Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement. Information relating to the latest news about the crisis and the government's handling of the event positively affects citizen engagement through government social media. Importantly, all relationships were contingent upon the emotional valence of each Weibo post. © 2020 Elsevier Ltd
语种：
英文
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Study on learning effect prediction models based on principal component analysis in MOOCs
作者：
Zhang, Wei;Qin, Shiming;Yi, Baolin;Tian, Peng*
期刊：
Cluster Computing ,2019年22(6):15347-15356 ISSN：1386-7857
通讯作者：
Tian, Peng
作者机构：
[Zhang, Wei; Yi, Baolin; Qin, Shiming] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.;[Tian, Peng] Cent China Normal Univ, Coll Publ Adm, Wuhan, Hubei, Peoples R China.
通讯机构：
[Tian, Peng] C;Cent China Normal Univ, Coll Publ Adm, Wuhan, Hubei, Peoples R China.
关键词：
Predictive models;PCA;Logistic regression algorithm;MOOCs
摘要：
In recent years, the rise and development of massive open online courses (MOOCs) have promoted the boom of online education and also promoted the research on learning analysis and mining based on big data of education. However, while offering a large number of high quality courses, there is also a phenomenon that the overall learning effect is not ideal. How to make effective use of MOOCs for teaching activities poses urgent practical requirements for educators and researchers. MOOCs store massive learners’ learning behavior data, and mining these data is of great significance to learners’ learning effects. Due to the deviation caused by the correlation between many behavior indexes, the paper analyze the nine measurable performance indexes by principal component analysis (PCA), and get three principal components factors in order to reduce the computational dimension and increase the comprehensibility, and then obtain a model of learning effect prediction, namely the PCA prediction model (PCA_PM). Logistic regression algorithm has a good fitting effect on behavioral indexes. Therefore, the paper use the logistic regression method to construct another model of learning effect prediction, namely the principal component logistic regression prediction model (PCL_PM), and predictive effects of two models were compared and analyzed. The results show that it is an effective way to help learners to improve the passing rate of the course by establishing the predictive models. The prediction accuracy of both PCA_PM and PCL_PM is high, but overall, the prediction effect of PCA_PM is better. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
语种：
英文
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技术创新联盟影响因素与路径框架——基于扎根理论的探索性研究
作者：
戴胜利;李迎春;张伟
期刊：
科技进步与对策 ,2019年36(19):17-25 ISSN：1001-7348
作者机构：
[戴胜利; 李迎春; 张伟] 华中师范大学.公共管理学院
关键词：
技术创新联盟;协同创新;扎根理论
摘要：
当前,加强科技创新已经成为世界各国的重大发展战略,技术创新联盟建设也逐渐成为科技创新趋势,而技术创新具有研发周期长、投入集中、过程复杂等特点,使得构建创新主体间的深层次合作很有必要.采用扎根理论对技术创新联盟建设影响因素进行挖掘,提炼相应范畴,进而构建技术创新联盟的"动机—过程—行为"影响因素及作用路径模型.结果表明,联盟建设影响因素中,资源投入是开展创新合作的重要前提条件,协作动机是促进技术创新联盟构建的内在驱动,组织环境是实施创新合作的基础性条件,技术创新协同过程则是联盟运行的重要支撑条件.在联盟构建过程中,协同过程起部分中介桥梁作用,资源投入因素与组织环境因素起调节作用.
语种：
中文
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企业推动SCSR 项目实施机制研究
作者：
程聪;池仁勇;张伟
期刊：
科研管理 ,2019年40(1):139-150 ISSN：1000-2995
作者机构：
[程聪] 浙江工业大学.浙江省新型重点专业智库中国中小企业研究院;[池仁勇] 浙江工业大学.中小微企业转型升级协同创新中心;[张伟] 华中师范大学.公共管理学院
关键词：
SCSR项目;战略特质;社会福利;专车服务
摘要：
SCSR项目既要保证企业获得显著的经济效益,同时也要促进社会福利增长,因此,如何来推动SCSR项目实施将是企业乃至社会面临的重要问题。本文以我国滴滴专车等专车服务项目为研究对象,采用验证性因子方法进行分析,发现目标导向、市场反应、经济效益和声誉机制等战略特质是促发并维持企业持续推进SCSR项目运作的主要驱动因素。此外,对于企业经营者来说,其对于SCSR项目战略特质的关注程度依次是经济效益、目标导向、声誉机制和市场反应。而关注社会福利的利益相关者,其对于SCSR项目战略特质的重视程度则依次是市场反应、经济效益、声誉机制和目标导向。本文的研究结果对于我国企业如何更好地实施SCSR项目提供了有益的启发。
语种：
中文
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Sustainable Entrepreneurship Team Scale Development: A Complex Systems Perspective
作者：
Dai, Shengli;Xue, Hongyan;Jiang, Yuan;Zhang, Wei* ;Zhang, Xin
期刊：
Sustainability ,2018年10(11):4199 ISSN：2071-1050
通讯作者：
Zhang, Wei
作者机构：
[Zhang, Xin; Zhang, Wei; Xue, Hongyan; Dai, Shengli] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Hubei, Peoples R China.;[Zhang, Wei; Jiang, Yuan] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China.
通讯机构：
[Zhang, Wei] C;[Zhang, Wei] S;Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Hubei, Peoples R China.;Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China.
关键词：
Complex systems;Scale;Sustainable entrepreneurship;Team
摘要：
This paper primarily focuses on two questions: (1) "How is a sustainable entrepreneurship team (SET) formed?"; and (2) "What factors contribute to effective SET?". Based on the model of Baron and Henry (2011), we adopt a process view of SET development and propose a conceptual model of a SET work that includes four key elements: (1) Sustainable entrepreneurial motivation; (2) sustainable entrepreneurial opportunity recognition; (3) knowledge resources acquirement; and (4) sustainable entrepreneurial outcome. Furthermore, based on complex systems theory, we elaborate on how individual entrepreneurs form a SET. We also develop a SET scale and provide some initial empirical support for our conceptual model. Finally, based on our qualitative and quantitative results, we offer suggestions for Research Question 2. © 2018 by the authors.
语种：
英文
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地方政府绩效考核主体群的界定及分工探析
作者：
戴胜利;张伟
期刊：
管理世界 ,2017年(10):176-177 ISSN：1002-5502
作者机构：
[戴胜利; 张伟] 华中师范大学.公共管理学院
关键词：
政府绩效考核;考核主体;分工;权重
摘要：
本文首先对我国地方政府绩效考核现状进行了分析．并在此基础上提出了将地方政府绩效考核主体划分为考核组织落实群体、信息来源主体和结果应用主体的地方政府绩效考核改革思路。其次详细论述了如何进行地方政府绩效考核主体的考核权力分配，最后给出了“分散权力，大头向下”、“注重分工．强调专业”、“设置红线，触线否决”的地方政府绩效考核改革建议。
语种：
中文
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近五年我国高校教师招聘研究文献综述
作者：
张伟;李武军;陈桂鹏
期刊：
知识经济 ,2008年(08):149-150 ISSN：1007-3825
作者机构：
华中师范大学管理学院;华中师范大学管理学院 430079
关键词：
高校教师;招聘;文献综述
摘要：
近五年来,我国高校教师招聘研究又取得了一定的成绩,同时也存在着一些问题。结合近五年文献,笔者从高校教师招聘相关概念的解释、招聘现状存在的问题、招聘发展相关对策、可采用的方法或技术、流程、招聘过程的模型化、国外比较、实证研究等八个方面进行了简单的总结。并结合这些研究成绩,认为过去的研究还存在三个问题:对高校教师招聘的现状与对策研究略显笼统;高校教师招聘的方法或技术研究不多;有关高校教师招聘的跨学科研究、实证研究与定量研究还比较少。
语种：
中文
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学术腐败的根因分析:新制度经济学的视角
作者：
张伟;袁媛;李武军
期刊：
南方论刊 ,2008年(8):30-31 ISSN：1004-1133
作者机构：
华中师范大学管理学院,湖北武汉,430079;武汉大学经济与管理学院,湖北武汉,430072;[袁媛] 武汉大学;[张伟; 李武军] 华中师范大学
关键词：
学术腐败;新制度经济学;制度供给;成本;收益
摘要：
近些年来,我国学术界超常规发展,学术数量不断增加,呈现"繁荣"景象,但是随之产生的学术腐败现象也屡见报端。本文即根据新制度经济学的分析框架对我国学术腐败行为的根因进行分析,并提出了三点建议。
语种：
中文
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