山区绿色发展研究热点与前沿探讨——基于CiteSpace可视化分析

作为中国的生态屏障,山区的绿色发展是中国可持续发展以及生态文明建设的重要保障。通过对我国山区绿色发展的现状及存在的问题进行归纳总结,阐明绿色对于山区区域经济发展的重要性。结合CiteSpace可视化分析,从文献数据库检索相关文献,提取关键词,并对其进行热点分析,聚类分析和时序分析,探索出山区绿色发展的研究热点与前沿。结合山区绿色发展的实际背景,根据可视化分析结果,提出坚持绿色发展理念,强化绿色产业发展,明确绿色发展思路,加强欠发达山区研究,加大基建资金投入等措施,为中国山区经济和社会发展带来新篇章。     

Interactive visualization for research contextualization in international business

We respond to calls for advances in the contextualization of international business (IB) research by introducing interactive visualization as a methodology for generating contextual insights during the exploratory phases of IB research projects. We suggest that applying interactive visualization early on improves contextualization by means of simultaneous dynamic representations of various phenomena and their respective properties and relationships, even for phenomena that have been widely researched before, like in the cases of international joint ventures and MNE foreign direct investment. The goal of this introduction is to make interactive visualization more accessible to IB scholars.     

Does the spatial representation affect criteria weights in environmental decision-making? Insights from a behavioral experiment

The need and interest to consider cognitive and motivational biases has been recognized in different disciplines (e.g. economics, decision theory, risk analysis) and has recently reached environmental decision-making. Within this domain, the intrinsic presence of a spatial dimension of both alternatives and criteria calls for the use of maps throughout the decision-making process to properly represent the spatial distribution of the features under analysis. This makes spatial Multi Criteria Decision Analysis (MCDA) a particularly interesting domain to explore new dimensions of cognitive biases. This study proposes a behavioral experiment aimed at discovering to what extent the spatial visualization (i.e. maps) of criteria versus the non-spatial one (i.e. tables) can bias the weight elicitation phase of a spatial MCDA process. The experiment simulates a very common analysis in environmental and land use planning: land suitability analysis. Our findings show that there are significant consequences on how important we perceive a certain criterion to be, depending on whether it is represented as a map or as a table among a mix of maps and tables. Indeed, the map representation of the same criterion leads to higher weights attributed to that criterion compared to the table representation. Visualizing the same information as a map or as a table, although technically equivalent, is thus not psychologically equivalent for Decision Makers. The results of this experiment are expected to have implications for spatial decision-making processes, by generating better awareness on the impacts of map-mediated land suitability analysis.     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.     

基于信息不对称的物流金融风险缓释探讨

风险是目前物流金融的关键问题。文章以增强物流金融的实用性为出发点,采用三维立体图分析得出了信息不对称下物流金融的九大风险。针对这些风险,文章进行了基于物联网的可视化设计,并提出了相应的风险管理方法,为信息不对称下物流金融风险的缓释提供了建议与意见。     

Students' Characteristics and Performance in Economic Statistics

The vast majority of studies in college economics have dealt with the introductory principles course. In one of the rare research projects dealing with other courses, Professor Cohn attempts to identify factors affecting student performance in economic statistics. He considers such variables as grade point average, graduate vs. undergraduate status, major field, sex and credits in economics, mathematics and statistics. There are a few recognized limitations to his model, but the reader will find some of his results to be surprising indeed.     

广义三棱柱地质模型的工程应用

采用广义三棱柱地质模型,实现工程地质的三维可视化,可以帮助工程人员迅速地掌握工程地质情况。     

企业跨国并购研究演进及热点知识图谱分析简

以利用wos数据库检索到的、发表于1997—2013年期间的、关于跨国并购的643篇英文文献为数据源,利用动态网络分析软件Citespace,通过作者共引分析确定了企业跨国并购研究领域中的知名学者,通过文献共引分析确定了企业跨国并购研究的理论基础,并分析理论发展规律。进一步分析得到目前跨国并购研究领域的高频主题词,包括文化、银行跨国并购、汽车产业、进入方式、战略联盟、法律、知识转移、贸易保护、中国企业、中国、学习能力、国家文化等。最后,结合实际,为跨国并购研究的进一步开展提供了参考建议。     

国内装配式建筑研究热点与演进趋势——基于CiteSpace的可视化分析

为全面了解装配式建筑研究的现状,掌握装配式建筑研究的热点和前沿趋势,以2010—2020年 CNKI收录的与装配式建筑研究相关的核心期刊文献为数据源,利用CiteSpace可视化网络工具,分别从发文时间分布、空间分布、作者合作共现以及研究热点、前沿主题等方面进行知识图谱分析。结果表明：文献统计上,国内装配式研究年发文量呈现递增态势,《建筑结构》《建筑经济》《混凝土》是发表装配式建筑文献较多的核心期刊;在研究机构和作者空间分布上,沈阳建筑大学、西安建筑科技大学和武汉理工大学等机构以及来自这些机构的高产学者共同组成了装配式建筑的核心研究力量;在研究热点上,BIM技术、深化设计、抗震性能、建筑工业化以及EPC模式是现有研究的核心;装配式建筑研究演进发展历程主要分为缓慢发展和快速发展两阶段,研究前沿主要包括BIM技术、产业化、预制构件、模块化以及综合评价。研究成果可为装配式建筑的后续发展提供参考,也为学科领域的热点和前沿分析提供借鉴。     

中国公共租赁住房研究进展与热点趋势的文献计量分析

为厘清国内公共租赁住房研究领域的整体发展脉络、热点及前沿,采用CiteSpace和VOSviewer软件,对来自中国社会科学引文索引(CSSCI)数据库中2002—2020年关于公共租赁住房与保障性住房的280篇期刊文献进行计量分析.研究发现:国内公共租赁住房研究从2008年起步入快速发展阶段;重庆大学、中国人民大学等研究机构的发文量较高;该领域的知识基础涉及城市空间发展、准入与退出、发展模式、定价、政策制度研究等方面;融资模式、定价、退出机制、住房政策等是目前的研究热点,未来研究与产业影响、社区管理、居民福利等相关.