Groupware adoption in a distributed organization: transporting and transforming technology through social worlds

In this paper, we draw on theory from social worlds to analyze how different organizational contexts affect groupware adoption. We report on a study of the adoption of data conferencing in a large distributed organization. Our data show that the diffusion process, which was driven by the users, was a result of communication and transformation of the technology across different social worlds. We also discovered that membership in multiple social worlds in an organization creates a tension for the potential adopter who is in a distributed team. To function effectively, team members must uniformly adopt the technology, yet some may face resistance from other social worlds to which they belong. Our study showed that adoption was affected by organizational sites having conflicting views of the value of collaboration, different amounts and needs for resources, and different acceptance of technology standards. Potential technology adopters on distributed teams are faced with conflicting loyalties, constraints, and requirements between their distributed collaborations and organizational homes.     

一种基于QoS的多任务实时集群系统负载均衡算法

负载均衡算法是多任务实时集群系统的一个关键技术。在分析了常见的轮转式均衡调度算法和任务最少优先法的优缺点基础上，针对实时集群系统处理多类任务的特点，引入了加权负载率的概念来更准确地描述各分布式集群节点的负载状况。提出了通过任务QoS映射为负载权值的思想，并给出了一种改进的任务最少优先算法——加权负载率最小法，描述了以加权负载率表为核心的多任务均衡调度算法。最后，通过仿真验证了该算法明显优于前两种算法。     

An Intelligent Distributed System for Strategic Decision Making

The decision-making process in strategic planning is often too complex to be handled by conventional methods. Strategic planning problems (building new plans, new product planning, etc.) belong to the class of problems called ill-structured by H. Simon. They involve a decomposition of the main problem into a set of subproblems, a reasoning process at the subproblem level, and then a coordinated and aggregated process to build a global solution. Because partial solutions are generated without having a complete view of the global objective, this type of decision-making process very often generates incoherent and contradictory hypotheses and actions. Therefore, the main problem is to find a way to achieve coherence and coordination among decisions made locally by different agents, at different levels.Recent advances in Artificial Intelligence, particularly in the field of multi-agent theory, offer great promises in modeling strategic planning processes. In this article we present a general framework called 'A Coherent Plan of Coordinated Actions (CPCA)' for building intelligent distributed strategic decision making systems which integrates advances in both distributed decision making and Distributed Artificial Intelligence. We then describe a multi-blackboard system, ARISTOTE, which is aimed at helping corporate managers address the feasibility and coherence of a plan of actions.     

中国居民消费水平与经济增长关系的实证分析

运用协整理论、自回归分布滞后模型、修正误差模型对中国1952年～2009年居民消费与经济增长之间的关系进行了分析,结果表明:经济增长对居民的消费有促进作用,且存在长期的均衡关系,改革开放后还大于改革开放前。     

Beyond Bitcoin: What blockchain and distributed ledger technologies mean for firms

Blockchain technologies are benefiting from significant interest in both societal and business contexts. Cryptocurrencies like Bitcoin have grown rapidly in user adoption over the past 8 years. However, blockchain technologies, which fuel cryptocurrencies, have the potential to extend to other business applications even more profoundly. Blockchain can be leveraged to drive innovation and increase efficiencies in new domains—including digital arts management, supply chains, and healthcare—but there remain technical, organizational, and regulatory headwinds that must be overcome before mass adoption can occur. In this article, we provide a brief history of blockchain and identify some of the key features that have enabled its popular uptake in the world of cryptocurrencies. We discuss how blockchain technologies have evolved from traditional software and web technologies and then examine their underlying strengths and evaluate new, noncryptocurrency use cases. We conclude with a look at the limitations of blockchain and present several important factors for managers considering blockchain implementation within their organizations.     

Initial coin offerings (ICOs) to finance new ventures

In an initial coin offering (ICO), new ventures raise capital by selling tokens to a crowd of investors. Often, this token is a cryptocurrency, a digital medium of value exchange based on the distributed ledger technology. Both the number of ICOs and the amount of capital raised have exploded since 2017. Despite attracting significant attention from ventures, investors, and policy makers, little is known about the dynamics of ICOs. This initial study therefore assesses the determinants of the amount raised in 423 ICOs. Drawing on signaling theory, the study explores the role of signaling ventures' technological capabilities in ICOs. The results show that technical white papers and high-quality source codes increase the amount raised, while patents are not associated with increased amounts of funding. Exploring further determinants of the amount raised, the results indicate that some of the underlying mechanisms in ICOs resemble those found in prior research into entrepreneurial finance, while others are unique to the ICO context. The study's implications are multifold and discussed in detail. Importantly, the results enable investors to more accurately understand crucial determinants of the amount raised (e.g., technical white papers, source code quality, token supply, Ethereum-standard). This reduces the considerable uncertainty that investors face when investing in ICOs and enables more informed decision-making.     

Fair value accounting from a distributed cognition perspective

This study offers a unique interdisciplinary perspective on fair value accounting. The growing influence of esoteric financial instruments whose valuation is becoming increasingly complex makes it necessary to focus on actual valuation practices. Based on an extensive review, this paper regards fair value accounting for complex financial instruments as involving processes distributed among actors located inside and/or outside a reporting entity. It also draws attention to collaboration by organizations that apply their external and internal resources to perform complex financial valuations. Furthermore, it demonstrates that cases involving unusual market conditions underline the importance of human interactions to the valuation process.     

汇率、贸易弹性和经常账户

本文在国际收支弹性分析法框架下,讨论汇率变动影响贸易收支状况的临界弹性条件。放弃传统的马歇尔—勒纳条件,采用更符合实际情况的修正BRM条件,并且在实证检验中首次使用了Gamma分布滞后模型来估计相关贸易弹性,为政府通过汇率变动来调节经常账户提供了更精确的参考标准。     

一种双模导引头目标检测的模糊数据融合算法

本文利用模糊集合来描述传感器的检测率和虚警率,提出了一种双传感器目标检测的模糊数据融合算法,并将其应用于双模复合导引头的目标检测,仿真结果表明算法合理。     

分布式账本技术:区块链与经济管理研究的国际演进

分布式账本技术在中国数据管理、会计审计、金融经济等领域引发研究与实践热潮。应用CiteSpaceV和NVivo11对1991-2017年1~6月该主题国际（WoS与Scopus）国内（CNKI）的1 014条文献和1 005条专利记录进行LLR网络聚类、关键词共现、NVivo词频分析、Timezone时区、Institution和 Country、学科分布等研究。结果发现,国际研究尚未形成完整的分布式账本技术理论体系;国际研究偏重基础、技术、管理等底层技术,国内研究偏重于经济管理具体应用,专利数据统计也呈现这一特征;国际研究演进路径是“区块—链—区块链—与经济管理结合—计算机、网络、算法、供应链、技术研究推进—应用具象化—未来拓展”;美国处于国际研究与实践成果第一阵营和合作中心;工程、作业与管理、商业与经济、管理是相关研究与实践所需的知识结构。