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.     

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:我国绿色创新研究大致经历了三个阶段,分别是探索期(1994—2009年)、初步发展期(2010—2015年)、繁荣期(2016—2019年);研究热点主要集中在基础理论与相关概念研究、影响因素与激励机制研究、效率测度与评价体系构建研究三个层面;未来的研究趋势则是朝着绿色金融、环境规制、绿色创新效率、绿色全要素生产率等方向发展。通过对现有文献进行梳理、总结,揭示当前研究进展及演变趋势,为后续开展相关研究提供参考。     

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.     

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。     

Exploring the representativeness of the M5 competition data

The main objective of the M5 competition, which focused on forecasting the hierarchical unit sales of Walmart, was to evaluate the accuracy and uncertainty of forecasting methods in the field to identify best practices and highlight their practical implications. However, can the findings of the M5 competition be generalized and exploited by retail firms to better support their decisions and operation? This depends on the extent to which M5 data is sufficiently similar to unit sales data of retailers operating in different regions selling different product types and considering different marketing strategies. To answer this question, we analyze the characteristics of the M5 time series and compare them with those of two grocery retailers, namely Corporación Favorita and a major Greek supermarket chain, using feature spaces. Our results suggest only minor discrepancies between the examined data sets, supporting the representativeness of the M5 data.     

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。     

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.     

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。     

林业可视化技术推广路径选择研究

林业可视化技术推广是一个系统工程。林业可视化技术推广过程中主要存在:操作环节复杂、推广成本高,技术成熟度低、实用性与可行性差,准公共物品属性未能得到充分认识,市场需求还未被激发出来,融资渠道偏少等问题。培育林业可视化技术创造、发明主体,扶持技术创新领先企业,促进林业组织变革,激发林业可视化技术在企业间扩散,注重管理创新,促进产业内扩散等是中国林业可视化技术推广的有效路径。     

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.