Enterprise systems, emerging technologies, and the data-driven knowledge organisation

IF 3.2 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Knowledge Management Research & Practice Pub Date : 2022-01-02 DOI:10.1080/14778238.2022.2039571
William Yu Chung Wang, D. Pauleen, Nazim Taskin
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引用次数: 4

Abstract

ABSTRACT Enterprise Systems have become a critical feature of organisations not only for their integrative functions but also because they have become collectors and repositories of organisational data. In the past, this data was subject to relatively simplistic analysis, which could provide important but still basic information for management decision-making. With the emergence of new technologies, both data collection and analysis have become increasingly sophisticated and varied. This has led to significant improvements in the quality and timeliness of the information that can be used by management in decision-making and strategic planning. Even how managers use this information is being shaped by technologies that can augment human knowledge to further improve decision-making. With reviewing the literature, this editorial paper explains the scope of emerging technology, enterprise systems and the impacts on knowledge management and briefly introduces the articles included in this issue.
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企业系统、新兴技术和数据驱动的知识组织
企业系统已经成为组织的一个关键特征,不仅因为它们的集成功能,而且因为它们已经成为组织数据的收集者和存储库。过去,对这些数据的分析比较简单,可以为管理决策提供重要但仍然是基本的信息。随着新技术的出现,数据收集和分析变得越来越复杂和多样化。这大大提高了管理部门在决策和战略规划中可以使用的信息的质量和及时性。甚至管理人员使用这些信息的方式也受到技术的影响,这些技术可以增强人类的知识,进一步改善决策。在回顾文献的基础上,这篇社论解释了新兴技术的范围、企业系统和对知识管理的影响,并简要介绍了本期所包含的文章。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.00
自引率
15.60%
发文量
52
期刊介绍: Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.
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