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.     

我国绿色创新研究的知识图谱可视化分析

低碳经济背景下,绿色创新作为缓解经济增长过程中资源环境约束问题的重要举措,受到学术界广泛关注.以中国知网收录的绿色创新核心文献为样本,综合运用CiteSpace、SATI、Excel等计量可视化工具绘制知识图谱,对国内绿色创新研究领域的文献年代分布、发文作者、科研机构、关键词以及突现词等进行分析.分析结果表明:我国绿色...     

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。     

全球气候变化背景下低碳旅游研究进展及可视化分析

低碳旅游研究是气候变化背景下旅游研究的前沿问题和关键领域。以Web of Science核心合集、CSSCI及CSCD数据库中关于低碳旅游的文献为基础,利用CiteSpace软件、Alluvial Generator程序、Excel统计功能进行国内外低碳旅游研究的可视化分析。结果表明：国外低碳旅游研究起步时间早,始于系统外部与旅游业相互作用视角,以生态环境和工程技术学科为基础,主要为了解决“碳中和”等现实问题,已形成固定的区域性合作网络;国外研究以定量研究为基本范式,其关键文献全部围绕旅游碳排放的测算,且已经形成了较完善的减碳体系。而国内低碳旅游研究与国外的快速发展时期相吻合,是从旅游业可持续发展角度开展研究,依附于旅游及经管类学科,尚未形成固定的合作网络;国内研究在概念理论的定性研究方面优于国外,但整体研究视角较为单一且未形成完整体系,其关键文献包含基础概念、理论体系、碳排放测算、影响因素分析等诸多方面。     

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。     

天然气水合物岩芯保真存储展示容器设计研究

现有研究表明,天然气水合物成藏于高压低温的环境,其钻获的岩芯在常温常压下极难保存,一般采用液氮罐存储。本文在天然气水合物岩芯存储条件下,进一步设计创新,完成一个由控温、控压、阀值报警等装置组成的集成设计,实现天然气水合物岩芯保存可视化、阀值自动化控制、容器便携化等功能,以期达到天然气水合物岩芯保真存储可视化的目的。     

基于图形—拓扑双向支持建模的电力系统可视化计算研究

文章提出电力系统可视化计算图形平台的图形编辑与拓扑分析需要双向支持的观点,一是以电力设备元件为单位绘制电网图形的方式,从图形分析电网拓扑;二是根据基于关联矩阵的拓扑描述,自动生成各种电网图形,并可继续图形编辑。设计出图形--拓扑双向支持的架构。建立统一的底层数据模型,包括数据结构、元件模型、节点数组和边数组。提出图形拓扑分析的有效方法和基于关联矩阵的拓扑描述。完善多功能的可视化界面,包括图形的编辑、图形切换、图形缩放、图形存储等。实现基于元件的网络拓扑分析和基于已有拓扑的图形再现。     

基于可视化技术的农产品防伪溯源监控系统设计

随着中国农产品物流规模不断壮大,农产品物流系统无法从源头保证产品采摘、包装、物流中的可信性。为了解决这个问题,提出一种现场作业可视化系统,即将可视化技术应用于农产品防伪溯源监控系统中,从而满足远程管理的需求。对相关可视化技术的一般方法进行了分析,选择COFDM作为主要解决方案。农产品防伪溯源监控系统有效克服了复杂环境下的各类干扰,将物流中的实时监控信息传送到中继通信和监控设备上,并依托公用通信网络或专用通信网络进一步实现广域范围内的实时高质量监控图像传输、存储和浏览。通过实时现场视频监控,消费者可以保证买到真实可信的高质量农产品;生产者可以提高农产品的生产、运输效率,还可以提升相应产品的信誉,促进高质量农产品的销售。