Blockchain in the operations and supply chain management: Benefits,challenges and future research opportunities

Blockchain technologies have captured the imagination of scholars, managers, and practitioners around the world. It is widely accepted by these actors that blockchain is not a buzzword, but a highly disruptive technology that is already remodeling the organizations and their supply chain business models. Despite the meaningful advance in the last years, blockchain applications regarding the operations and supply chain management (OSCM) are still in their infancy. Little is known about the role of blockchain in terms of operations traceability, as well in areas such as e-commerce, agriculture, public services, etc. Therefore, this Special Issue seeks to extend our understanding of blockchain applications in OSCM and how firms create and capture business value with blockchain. To this effect, this Special Issue will provide a well-articulated and in-depth discussion of the role of blockchain in creating value in the domain of OSCM. Specifically, it is expected that more light is shed on how blockchain integrates with and impacts new business models, transforms relationships, and improves performance and competitive advantage in OSCM. Also, the evolution of blockchain was reviewed in order to provide a strong background to the readers. The literature review was performed taking into account a bibliometric perspective of blockchain-related publications. The review supports the importance of this Special Issue by highlighting the urgent needs of this topic in this reputable journal. Finally, we provide future research directions and a guide for the papers presented in this Special Issue.     

Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

As part of the urgent need to respond to the COVID-19 pandemic, governments, healthcare providers, and businesses have looked to applications of Artificial Intelligence (AI) to compensate for the unavailability of human workers. This interest has renewed the debate regarding the use of AI for the automation of work, which has been described as Intelligent Automation (IA). A new dimension to this debate is whether COVID-19 will be the catalyst for higher IA adoption levels. This article reviews arguments in favour of COVID-19 increasing the level of IA adoption and possible counter-arguments. Key arguments in favour of increased IA adoption include consumer preferences changing to favour IA, increasing familiarity of IA technologies, and increased business confidence in IA. Counter-arguments include big data availability and reliability limitations, many tasks still favouring human skills over IA, the narrow capabilities of IA technologies, and a high availability of human workers. The article also discusses the implications of this debate for information management research and practice.     

现代图书馆的网络门户及其建设

概述图书馆网络门户的基本概念、主要类型，以智能信息提交层次模型为基础讨论了图书馆网络门户的建设与发展的策略。在提出了基于商务智能技术的图书馆网络门户的体系结构后，从图书馆信息知识门户平台上的图书馆信息系统的集成、图书馆网络门户的信息知识资源整合、图书馆网络门户用户接口系统的设计等几个主要方面全面论述了图书馆网络门户的基本构成及其主要内容。作者以数据挖掘技术、智能代理技术在图书馆网络门户用户接口中的应用为倒．展现了人工智能技术在图书馆网络门户建设中应用的必要性及其美好前景。     

中长跑

技术概述而中长跑时,由于有更长的时间实现臂、腿的协调运动,两肩则可轻微摆动,两臂甚至可以摆过胸的中部。当然,也必须避免过大的和过于主动的转动。两肘不要抬得过高并保持在体侧。步长属于个人技术特点,应根据运动员的     

军事院校“人工智能导论”课程思政教育研究

课程思政教育是军地高校坚持社会主义办学的重要内容,针对“人工智能导论”课程的教学环节,分析了思想政治教育的必要性和研究现状;同时结合军事院校的办学特点,探讨了军事院校思想政治教育的特殊性;设计了符合军校生认知和需求的课程思政教育路径,对培养有灵魂、有本事、有血性、有品德的新一代革命军人具有一定的参考意义。     

“人工智能安全”课程建设与教学研究

人工智能自身的安全性已成为前沿的研究热点,并产生了巨大的人才需求,迫切需要建设相关课程。通过论证和研究“人工智能安全”课程建设,系统地探讨“人工智能安全”课程教学内容,并研究设计符合业界需求和多元化人才培养要求的新型教学模式。教学内容涵盖了不断涌现的人工智能安全的前沿研究内容;教学方法依据以学为中心、目标导向,教学与实践相结合,教学效果检验与持续改进,加强社会使命和人文情怀培养,以科研促教学。     

智能仿生技术研究新进展

智能仿生技术在我国的应用地位已经愈来愈重要.本文综述了智能仿生技术在生物医学领域、人工智能探索、新材料的开发、机械制造及化工领域等方面的新进展与前景.     

足球的“自然选择”和“人工培养”成才模式浅析

更高水平的足球人才、更充足的储备是足球队水平更高的根源。本文对当今世界足球人才成长的“自然选择”和“人工培养”两种模式进行分析,探讨足球人才的发展和培养道路。“自然选择”模式是根据人体生长发育阶段,从低至高发展各级别联赛,让球员在各级别联赛中发展自己的足球志趣和竞技水平,自我选择,适者生存,优胜劣汰,完全尊重球员个体的...     

制约逻辑在人工智能中的应用

本文从数理逻辑对人工智能发展的局限出发,分析了制约逻辑与人工智能的辩证关系,最后总结了制约逻辑为人工智能的智能模拟提供了理论基础和推理作用。     

基于模糊S_D(T_D)-QL蕴涵算子的一类布尔迭代律的刻画

模糊集是信息处理的有效方法之一,而模糊蕴涵算子是模糊集之间的一类重要的运算,在模糊信息处理中起着十分重要的作用。本文将给出蕴涵满足布尔迭代律的充要条件。