高中学业水平合格性考试命题难度控制技术的探究——以信息技术学科为例

高中信息技术学业水平合格性考试作为标准参照性考试,命题过程需要按照考试目标及要求做好难度控制,通过准确预估试题难度控制试卷难度,实现考试结果与考试目标的一致。命题难度控制技术包括试题的难度预估、试卷难度的控制。通过确定影响难度的主要客观因素、设计简便易行的试题难度计算方法、建立试题难度预估的参照模型等三个环节探究试题难度预估的方法,结合实例进一步探究试卷难度的控制技术。     

日本国际化研究人才培养策略——以东京农工大学推进“国际化研究人才培育项目”为例

进入21世纪以后,日本的高校面对国际竞争出现种种困境。其中,学者的国际流动性差、研究成果的国际影响力低以及研究创新性不足的状况迫使日本政府和高校采取了各种措施,2014年推出“国际化研究人才培育项目”即是其中之一。该项目力图通过促进日本与海外的高校或研究机构间进行学者互派与交流,进而开展合作研究并发表相关研究成果,从而培养日本的年轻研究者使其达到世界顶尖水平,提升大学和国家的科研竞争力。以东京农工大学为例,实施该项目以后,在学者的国际交流、合作研究成果的发表以及开拓国际尖端研究等方面取得了一定成效,促进了年轻研究者的成长。但该项目也存在其局限性和不足,对我国有较好的启示意义。     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.     

Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing

Social tagging systems enable users to assign arbitrary tags to various digital resources. However, they face vague-meaning problems when users retrieve or present resources with the keyword-based tags. In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms. A field experiment was conducted to evaluate the effectiveness and user acceptance of these mechanisms in a knowledge sharing context. The results show that the semantic social tagging system is more effective than a keyword-based system. The visualized knowledge map helps users capture an overview of the knowledge domain, reduce cognitive effort for the search, and obtain more enjoyment. Traditional keyword tagging with a keyword search still has the advantage of ease of use and the users had higher intention to use it. This study also proposes directions for future development of semantic social tagging systems.     

Contractual governance and the choice of dispute-resolution mechanisms: Evidence on technology licensing

In fast-paced and knowledge-intensive environments, licensing partnerships can be powerful levers for market expansion. Research on the management of technology-oriented licenses has nonetheless pointed out the risks of corrosive disputes caused by conflicting interests or misunderstandings among licensing partners. The choice made ex ante on mechanisms for resolving potential disputes is of prime importance in the execution of licensing exchanges. Although the legal literature has widely emphasized the advantages of arbitration towards litigation, public ordering remains the “default” option in managers’ eyes. By adopting a transaction cost economics logic, our study explores the conditions under which licensing partners may prefer arbitration over public ordering during the contractual-design phase. In accordance with our theoretical arguments, findings show that the occurrence of arbitration provisions increases when the coordination orientation adopted by licensing partners is extensive. In situations where both monitoring and coordination orientations are simultaneously extensive, results reveal a greater propensity to prefer arbitration over public ordering. Our research therefore supports the view that corporate decision-makers tend to favor the conciliatory stance and compromising awards typically associated with arbitration, only when exchanges are expected to be highly coordinative. Their preference for arbitration over litigation is magnified when the coordination orientation develops alongside the monitoring orientation.     

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.     

基于知识位势的技术创新合作中的知识扩散研究

从知识位势的角度出发,对企业技术创新合作中的知识扩散问题进行了研究。定义了有关知识位势的基本概念,探讨了知识主体间进行知识扩散的条件,给出了知识主体的知识位势扩散函数描述,探讨了知识位势的构成要素及相互作用,对知识主体进行知识扩散的影响因素进行了分析。     

When do incumbents learn from entrepreneurial ventures?: Corporate venture capital and investing firm innovation rates

In this paper, we focus on the potential innovative benefits to corporate venture capital (CVC), i.e. equity investments in entrepreneurial ventures by incumbent firms. We propose that corporate venture capital programs may be instrumental in harvesting innovations from entrepreneurial ventures and thus an important part of a firm's overall innovation strategy. We hypothesize that these programs are especially effective in weak intellectual property (IP) regimes and when the firm has sufficient absorptive capacity. We analyze a large panel of public firms over a 20-year period and find that increases in corporate venture capital investments are associated with subsequent increases in firm patenting.     

国内外政务社交媒体研究评述及展望

[目的/意义] 本研究对国内外政务社交媒体相关研究进行梳理,分析现有研究的特点及不足,以期为政务社交媒体研究提供参考和借鉴。[方法/过程] 通过文献调研,对2014-2019年的国内外政务社交媒体研究进行系统归纳,梳理现有研究的特点及不足,以期为政务社交媒体研究提供参考和借鉴。[结果/总结] 分析发现近年的政务社交媒体研究多为量化研究,分析方法包括内容分析法、统计分析法、社会网络分析法、机器学习方法,研究主题集中于政务社交媒体的运营管理、内容挖掘、应急管理、功能与作用。现有研究存在着数据来源较为单一、数据分析方法有待优化、缺乏系统规范的研究范式等方面的不足,并从政府和公众两个视角为政务社交媒体的未来研究提供思路。     

The role of corporate technology strategy and patent portfolios in low-, medium- and high-technology firms

Previous research into technology strategies and patent portfolios has focused on high-technology firms, whereas low- and medium-technology companies have been relatively neglected. Therefore, we analyze how corporate technology strategy and the size and composition of patent portfolios affect the performance of low-, medium- and high-technology firms. Data from 136 European companies are used to examine four hypotheses relating financial performance to technological diversification, technological aggressiveness, patent portfolio size, and patent portfolio quality. The cross-industry sample allows analyzing the different consequences of these strategic parameters in low-, medium- and high-technology firms by considering technological intensity as a moderator. Our first finding is that the positive impact of technological aggressiveness is limited in low- and medium-technology companies. Secondly, technological diversification has a positive effect in high-technology firms and a negative effect in low-technology firms. Thirdly, patent portfolio size has a positive effect only in high-technology firms. Finally, patent portfolio quality has an equally positive influence on all firms’ performance. In part, these results conflict with the findings of previous research into high-technology companies, and they call for rethinking the role of technology strategies and intellectual property portfolios in firms across industries.