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Full-Text Articles in Management Information Systems

Managing Information For Innovation Using Knowledge Integration Capability: The Role Of Boundary Spanning Objects, Chandan Acharya, Divesh Ojha, Rahul Gokhale, Pankaj Patel Jan 2022

Managing Information For Innovation Using Knowledge Integration Capability: The Role Of Boundary Spanning Objects, Chandan Acharya, Divesh Ojha, Rahul Gokhale, Pankaj Patel

Publications and Research

Knowledge Integration (KI) or the capability to collate and process distinctive stocks of organizational information is central to innovation. Although an essential capability, KI is also challenging to accomplish in practice due to relational obstacles. The relational obstacles arise because of knowledge boundaries: (a) syntactic boundary where the challenge is to transfer the knowledge; (b) semantic boundary where the challenge is to translate the knowledge; and (c) pragmatic boundary, where the challenge is to transform the knowledge to realize relational rents. In this paper, we propose that these relational obstacles could be resolved through a common lexicon, common meaning, and …


The Data-Information-Knowledge-Wisdom Hierarchy And Its Antithesis, Jay H. Bernstein Jun 2009

The Data-Information-Knowledge-Wisdom Hierarchy And Its Antithesis, Jay H. Bernstein

Publications and Research

The now taken-for-granted notion that data lead to information, which leads to knowledge, which in turnleads to wisdom was first specified in detail by R. L. Ackoff in 1988. The Data-Information-Knowledge-Wisdom hierarchy is based on filtration, reduction, and transformation. Besides being causal and hierarchical,the scheme is pyramidal, in that data are plentiful while wisdom is almost nonexistent. Ackoff’s formulalinking these terms together this way permits us to ask what the opposite of knowledge is and whether analogous principles of hierarchy, process, and pyramiding apply to it. The inversion of the Data-Information-Knowledge-Wisdom hierarchy produces a series of opposing terms (including misinformation,error, …