17). KM, including the codification,
storage, retrieval, and sharing of knowledge, transpires in the context of a processscientific,
governmental or commercial. Explicit knowledge, declarative enough
to be represented using standards-based knowledge representation (KR) languages
allows for knowledge to be interpreted by software and shared using automated
reasoning mechanisms to reach useful inferences. While all knowledge cannot be
explicated and be effectively represented and reasoned with using decidable and
complete computational techniques; it is useful to focus on explicit, declarative
KR using computationally feasible KR languages to build effective and useful
knowledge-based systems. Hamel (1991) identifies that knowledge transparency is
directly related to ease of transfer. In line with the notion of firms as repositories of
productive knowledge (Demsetz, 1998), where knowledge resources are primary
concern, managing cooperative relationships is frequently a process of managing
knowledge flows (Badaracco, 1991).
Furthermore, transparency is critical to business partnerships, lowering transaction
costs between firms and enabling collaborative commerce (Tapscott & Ticoll, 2003).
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