Knowledge Complexity and Collective Intelligence Development in Technology Based-Firms

被引:2
作者
Ahumada-Tello, Eduardo [1 ]
Ramos, Karen [1 ]
Martinez-Gutierrez, Rodolfo [2 ]
Ravina-Ripoll, Rafael [3 ]
机构
[1] Univ Autonoma Baja California, Fac Contaduria & Adm, Tijuana, BC, Mexico
[2] Tecnol Nacl Mexico, Inst Tecnol Tijuana, Tijuana, BC, Mexico
[3] Univ Cadiz, Fac Econ & Business Sci, Cadiz, Spain
来源
2022 IEEE TECHNOLOGY AND ENGINEERING MANAGEMENT CONFERENCE (TEMSCON EUROPE) | 2022年
关键词
IT-Based Firms; Knowledge Complexity; Collective Intelligence; SYSTEMS;
D O I
10.1109/TEMSCONEUROPE54743.2022.9802016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This document addresses the issue of collective intelligence, complex knowledge, and complexity theory applied to technology-based organizations. For this, a review of the literature on the subject of complexity theory, complex knowledge, collective intelligence, and technology-based organizations is made. An analysis of four approaches to complexity theory that help improve the study of organizations from the consideration of turbulent and changing environments that require a high capacity for adaptation, innovation, and rapid assimilation of change will be developed. Finally, there is a need to innovate in the study of companies and to consider them epistemologically as independent entities that make up a complex adaptive system and that, in essence, are grouped together to consolidate their ability to adapt and adjust to market change and survival.
引用
收藏
页码:242 / 246
页数:5
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