TY - GEN
T1 - Identifying organizational knowledge paths through social network lens
T2 - 42nd Annual Hawaii International Conference on System Sciences, HICSS
AU - Kim, Young Gul
AU - Yang, Sung Byung
AU - Hau, Yong Sauk
AU - Seo, Jeong Su
AU - Ghim, Ghi Hoon
PY - 2009
Y1 - 2009
N2 - Unlike the common belief that knowledge flows mainly along the formal organizational hierarchy, recent research has pointed out an informal social network among organizational members as a more potent source of organizational knowledge paths. Most of the previous studies examining the organizational knowledge flows, however, have been conducted in a single organization or industry setting, thus limiting the generalizability of their findings. Through the use of social network lens, this paper identifies organizational knowledge flow paths, examines knowledge flow network structures, and analyzes the knowledge flow patterns based on individual case studies from six organizations in different industries. Based on these findings, seven propositions are derived for future research. In addition, it suggests implications for KM practitioners and scholars interested in finding, nurturing, and utilizing knowledge flow networks embedded in organizations.
AB - Unlike the common belief that knowledge flows mainly along the formal organizational hierarchy, recent research has pointed out an informal social network among organizational members as a more potent source of organizational knowledge paths. Most of the previous studies examining the organizational knowledge flows, however, have been conducted in a single organization or industry setting, thus limiting the generalizability of their findings. Through the use of social network lens, this paper identifies organizational knowledge flow paths, examines knowledge flow network structures, and analyzes the knowledge flow patterns based on individual case studies from six organizations in different industries. Based on these findings, seven propositions are derived for future research. In addition, it suggests implications for KM practitioners and scholars interested in finding, nurturing, and utilizing knowledge flow networks embedded in organizations.
UR - http://www.scopus.com/inward/record.url?scp=78650760660&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2009.242
DO - 10.1109/HICSS.2009.242
M3 - Conference contribution
AN - SCOPUS:78650760660
SN - 9780769534503
T3 - Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
BT - Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
Y2 - 5 January 2009 through 9 January 2009
ER -