The Role of Business Information Visualization in Knowledge Creation
被引:0
|
作者:
Bacic, Dinko
论文数: 0引用数: 0
h-index: 0
机构:
Cleveland State Univ, Monte Ahuja Sch Business, Dept Comp & Informat Sci, Cleveland, OH 44115 USACleveland State Univ, Monte Ahuja Sch Business, Dept Comp & Informat Sci, Cleveland, OH 44115 USA
Bacic, Dinko
[1
]
Henry, Raymond M.
论文数: 0引用数: 0
h-index: 0
机构:
Cleveland State Univ, Monte Ahuja Sch Business, Dept Comp & Informat Sci, Cleveland, OH 44115 USACleveland State Univ, Monte Ahuja Sch Business, Dept Comp & Informat Sci, Cleveland, OH 44115 USA
Henry, Raymond M.
[1
]
机构:
[1] Cleveland State Univ, Monte Ahuja Sch Business, Dept Comp & Informat Sci, Cleveland, OH 44115 USA
来源:
AMCIS 2012 PROCEEDINGS
|
2012年
关键词:
Business Information Visualization;
Knowledge Management;
Knowledge Creation;
Insight;
Business Intelligence;
Information Uncertainty;
Information Complexity;
DECISION-SUPPORT;
COGNITIVE FIT;
MANAGEMENT;
INTELLIGENCE;
SYSTEMS;
EXPLORATION;
COMPUTERS;
CAPACITY;
IMPACT;
MODEL;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Past research suggests that one of the reasons causing Business Intelligence (BI) systems to fall short of expectations could be that certain BI capabilities may not be appropriate for individuals' or organizational challenges. Our research proposes the need to enhance our understanding of information and knowledge processes to address the issue. We evaluate the appropriateness of adopting the implications of information and knowledge processes to Business Information Visualization (BIV) as one of BI capabilities by exploring how data interaction and data representation reduce information-based challenges of uncertainty and complexity, thus enabling the creation of new insights. Formal model and resulting propositions are offered. Research implications suggest that effective and efficient insight generation can be achieved by deploying BI visualization capabilities only if those capabilities result in knowledge workers' perception of lower information uncertainty and complexity. Larger implications of this study for BI, BIV and knowledge creation process are discussed.