Web-Based Collaborative Systems and Harvesting the Collective Intelligence in Business Organizations

被引：3
|
作者：
Al Omoush, Khaled Saleh [1 ]
机构：
[1] Al Zaytoonah Univ Jordan, Fac Business, Management Informat Syst, Amman, Jordan
来源：
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS | 2018年 / 14卷 / 03期
关键词：
BI Tools; Collective Intelligence; Expected Outcomes; Relationship Quality; Web-Based Collaborative Systems; INFORMATION AGGREGATION; DECISION-MAKING; INTEGRATION; MANAGEMENT; EMERGENCE; IMPACT; RULES;
D O I：
10.4018/IJSWIS.2018070102
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The major purpose of this article is to empirically explore the role of web-based collaborative systems in harvesting the dimensions of collective intelligence and the expected outcomes. A questionnaire survey was developed to collect data from 29 firms across all industries with a sample of 239 respondents. Structural Equation Modeling, using Smart PLS was conducted to analyze the data. The results indicated that web-based collaborative systems play a significant role in harvesting the dimensions of collective intelligence, including collective cognition, shared memory, collective problem solving, knowledge sharing, and collective learning. The results also revealed the significant impact of web-based collective intelligence on the sense and response capability and on the quality and morality of organizations' decisions. In addition, the article reveals the significant impacts of BI tools and relationship quality on the role of web-based CI in achieving the expected outcomes.
引用
收藏
页码：31 / 52
页数：22
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