Motivation Model in Community-Built System - Community-Built Databases: Research and Development - page 185

is introduced along with the supporting case study: implementation of the motiva-
tion model in an e-learning system.
8.2 Networked Knowledge Processing
Knowledge creation and processing are two processes that are based on the individ-
ual cognitive capabilities of an individual and his access to resources (i.e., the object
of processing). The networked organization of the knowledge (networked knowl-
edge) process ensures access to resources and, in addition, creates a cognitively
responsive environment. Networked knowledge can produce units of knowledge
whose informational value is far greater than the mere sum of the individual units,
i.e., it creates a new knowledge [ 14 ]. The information resources available on the
Internet, paired with appropriate semantics, constitute the networked knowledge.
The phenomena of synergy and emergency which appear in a community-built
system are the most significant purposes of processing the networked knowledge.
The synergy occurs when individuals with similar knowledge resources are mutu-
ally related. As a result of the relation, the quality of the initial knowledge potential
and processed knowledge increases. The emergency occurs when individuals with
similar objectives are connected. In this case, the problem can be discussed from the
point of view of different domains. As shown by many examples, most often, only
the application of a multidisciplinary approach leads to adequate solutions.
The knowledge network is the operational environment of a community-built
system and it allows the processing of the networked knowledge. The main objec-
tive of the knowledge network is to enable users to easily share knowledge across
the network. By sharing knowledge, an individual's expertise can be integrated
to form a much larger and valuable network of knowledge [ 15 ], such as Wikipedia.
8.2.1 The Concept of Knowledge Network
Generally speaking, the knowledge network is a network through which all avail-
able knowledge is properly represented, correlated, and accessed [ 16 ]. The knowl-
edge network identifies “who knows what” [ 17 ]. The structure of a knowledge
network is based on a production network and a social network [ 18 ]. A knowledge
flow is the relaying of knowledge between nodes according to certain rules and
principles of a production network [ 19 ]. On the social network level, a knowledge
node is a team member or role, or a knowledge portal or process. From the point of
view of the community-built system, the community-built engine (e.g., wiki) is a
hub in the production network. Additionally, the community-built engine is the most
important element of a social network, representing the knowledge community.
The knowledge network views knowledge in terms of the main flow elements.
A knowledge flow starts and ends at a determined node. The node can generate,