浅析GPS测绘新技术在建筑工程项目中的运用

现代化的GPS测绘技术在建筑施工项目当中有着重要的应用,而深入的对应用的范围和层面进行细致的分析,将有助于增强GPS测绘的使用水准。文章将针对这一方面的内容展开论述,详细的分析了GPS测绘在建筑施工项目当中的实践使用情况,同时对GPS测绘的要点和技术的难点、创新点等进行了深入的探讨,旨在全面的增强和促进GPS测绘技术的改进,为GPS测绘技术的发展奠定坚实的基础。     

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。     

发达国家产业集群发展历程及对中国产业集群提升政策的启示

在过去的10年中,集群提升政策被广大政策制定者和研究者所鼓吹。西方国家一些成功的集群更是争相被广大发展中国家所复制和学习。但是,在全球化过程中这些集群范本发展演变趋势被忽视。另外,缺少一个广为接受的集群定义,弱化了集群提升政策制定过程当中对集群的界定。关注集群这两个＂副作用＂对中国产业集群提升政策的制定有匡正作用。     

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.     

探究矿山测量中测绘新技术的特点和应用

本文首先对现阶段矿山测量发展的基本情况作出了分析,重点探讨了矿山测量中测绘新技术的具体应用,为今后的矿山测量提供参考依据。     

The decade-long cryptocurrencies and the blockchain rollercoaster: Mapping the intellectual structure and charting future directions

Recent advances in science mapping allowed to analyze the entire intellectual structure of blockchain and cryptocurrencies in business-related disciplines to identify 174 academic articles as well as 1482 practitioner-oriented articles published since the inception of cryptocurrencies in 2008 to highlight key trends of the published outputs. The results demonstrate academic research done by 389 authors in 296 organizations based in 50 countries that only just initiated the conversation on four major streams of the literature—Bitcoin and cryptocurrencies; blockchain adoption; cryptocurrency and blockchain environment; and business model innovations. When comparing academic scholarship to practitioner-oriented literature, the results demonstrate that practitioners discussed investor-related themes, cryptocurrency intrinsic value, political-economic sphere, and the impact of cryptocurrency and blockchain technologies on the wider society in greater detail. As a result, a number of themes are identified and discussed that could align academic and practitioner interests and provide guidance for further research in this important field.     

Credit Risk Research: Review and Agenda

This article provides a comprehensive review of scholarly research on credit risk measurement during the last 57 years applying bibliometric citation analysis and elaborates an agenda for future research. The bibliography is compiled using the Institute for Scientific Information (ISI) Web of Science (WOS) database and includes all articles with citations over the period 1960–2016. Specifically, the review is carried out using 1695 articles across 72 countries published in 442 journals by 2928 authors. The findings suggest that credit risk research is multifaceted and can be classified into six streams: (1) defaultable security pricing, (2) default intensity modeling, (3) comparative analysis of credit models, (4) comparative analysis of credit markets, (5) credit default swap (CDS) pricing, and (6) loan loss provisions. The article contributes through synthesizing and identifying existing as well as emerging research streams.     

浅谈数字化测图过程

随着计算机技术的革新及飞速发展,数字化已成为当代社会经济可持续发展的焦点之一。数字化制图及信息系统的建立,对测绘行业提出了更高的要求,原始的手工作业方法已经远远满足不了当今社会发展的需求。     

Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento,Italy

Many agricultural practices are negatively impacting the environment and threatening the ecological foundations of the global food system. Therefore, agroecological practices are being proposed as viable and desirable alternatives. Biophysical, economic, social, and political factors, matched with farmers’ psychological attributes, may all be governing the choice of agricultural practices. Public policies can play a significant role as they can stimulate the adoption of innovative farming practices. The main objective of this research was the evaluation of farmers’ motivations for the adoption of agroecological practices in the viticulture sector in the province of Trento, Italy. A specific focus was laid on the influences from the European Common Agricultural Policy (CAP) measures. For the evaluation of farmers’ perceptions of their systems of practices, the Cognitive Mapping Approach for Analysing Actors’ Systems Of Practices (CMASOP) was applied. Based on information collected during in-depth interviews, Individual and Social Cognitive Maps were generated, representing the most frequently adopted agroecological practices and the major drivers of adoption of such practices, as mentioned by farmers. Drivers of adoption were categorized according to the self-determination theory of human motivations. Farmers reported that adoption of agroecological practices was mainly driven by existence of site-specific pedoclimatic conditions, followed with decreasing importance by requirements from wineries, availability of material, appreciation for aesthetics, health concerns, influence from irrigation consortia, and legal requirements, among which a local legislation for integrated pest management based on a CAP measure. Overall, results show that farmers reported to adopt agroecological practices mainly because of autonomous choices rather than coercion. Therefore, wineries and local policy-makers might incentivize the adoption of agroecological practices by promoting autonomy-supportive policies that foster farmers’ identified and intrinsic motivations.     

Hybridizing local and generic information to model cropping system spatial distribution in an agricultural landscape

For quantitative water management, fine analysis of spatial and temporal interactions between cropping systems and water resources helps identify time and site-specific withdrawal situations. However, it is a methodological challenge to provide fine-resolution analyses at the scale of large watersheds used for crises management. In this study, we present a methodology based on multiple methods and mixed sources of information to finely model an agricultural landscape (AL) that represents the spatial distribution of cropping systems. Our approach is based on progressively hybridizing databases and local actors' and experts' knowledge to produce a spatially explicit and dynamic model. The Land Parcel Identification System database, which resulted from the European Common Agricultural Policy, is crucial for our method since it provides the spatial and temporal basis of our model (i.e., geographic delineation of islets and information about crop sequences). Local knowledge is used to identify factors determining spatial distribution of cropping systems and to build a generic model that simulates farmers' crop-management strategies. The model was qualitatively and quantitatively evaluated using a multi-agent simulation platform (MAELIA). We asked local experts on quantitative water management to evaluate the ability of the platform to reproduce intra- and inter-annual dynamics at different levels when using our model of the AL as input. The experts were satisfied with the results; they validated the predicted dynamics of the variables, and some discussed the objectivity of the values. We discuss the method’s contribution to current challenges in modeling large agricultural areas and the associated tradeoffs. The approach is promising for policy makers who wish to develop integrated, locally adapted land-management strategies.