社会网络在复杂自适应工作环境中的有效性

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2012-08-10 DOI:10.1108/13287261211255338

Alon Hasgall

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引用次数: 8

摘要

目的-本文的目的是研究具有复杂适应系统(CAS)特征的工作环境，如组织社会网络(SNs)，是否会被个体工人视为有助于提高工作效率。作者测试了社交网络是否增加了员工的知识共享、对环境变化的敏感性和资源的同步性，这有助于在动荡的环境中根据不断变化的需求创造解决方案的自主能力。设计/方法/方法-一份在线分发的研究问卷评估了94名受试者对社交媒体的看法和行为。为每个CAS变量(目标遵从性;情境敏感性;信息集成;和资源同步)来评估被试如何感知SN有效性。研究结果-发现对组织工作流程的贡献程度与各种…

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The effectiveness of social networks in complex adaptive working environments

Purpose – The purpose of this paper is to examine whether working environments possessing characteristics of a complex adaptive systems (CAS), such as organizational social networks (SNs), will be perceived by the individual worker as contributing to working efficiency. The author tested whether SNs increase the workers' sharing of knowledge, sensitivity to environmental changes and synchronization of resource, which contribute to the autonomic ability to create solutions according to changing demands in turbulent environments.Design/methodology/approach – A research questionnaire distributed online assessed the views and behaviors of 94 subjects regarding SNs. An index was formed for each of the four CAS variables (Goal compliance; Situational sensitivity; Integration of information; and Resource synchronization) to evaluate how the subjects perceive SN effectiveness.Findings – A significant positive correlation was found between the degree of contribution to organizational working processes and the vari...

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.