چکیده:
The aim of the research is mapping the intellectual structure of knowledge management
subject area to explore more its past and present. This Scientometric research has been
done by author co-citation analysis of KM during time span of 1990-2014. We also used
new social network indicators to understand the field better. The findings showed that
different specialties can be recognized in the KM field. Half of the specialties are
interrelated which shows the interdisciplinary nature of the KM fields. The results also
showed that the impact of works written by Davenport, Polanyi and Brown with 928, 650
and 513 citation is more than other core authors of the field, and the stability of Drucker,
Schon, Nelson, and Polanyi Theories with 36, 29, 26 and 25 citation half-life is more than
other theories.
خلاصه ماشینی:
Mapping the Intellectual Structure of Knowledge Management Subject Area: A Co-citation Network Analysis Rasoul Zavaraqi Assistant professor, Department of Knowledge and Information Science, University of Tabriz, han Zavaraqi H tabrizu.
The results also showed that the impact of works written by Davenport, Polanyi and Brown with 928, 650 and 513 citation is more than other core authors of the field, and the stability of Drucker, Schon, Nelson, and Polanyi Theories with 36, 29, 26 and 25 citation half-life is more than other theories.
We selected 30 top more cited authors (as representatives of dominant paradigms and specialties) in specific time spans to compare them based on their network position and social network analysis indicators.
We also analyzed top more cited authors as representatives of dominant paradigms based on social network analysis techniques and methodologies.
After mapping the map of the domain in independent sliced and merged mode we tried to compare the networks in addition of their theoreticians and specialties based on new structural, temporal and citation indicators.
It is expected that the comparison of the networks, specialties and theoreticians (core authors) based on mentioned indicators can be useful in evaluating their paradigm shift, interdisciplinarity, dynamics, cohesion, consensus, impact, diversity in the 5 mentioned slice of time.
The author co-citation network of KM field The table 1 and figure 1 show that Knowledge Management subject area can be divided to 13 clusters which 6 clusters (half of them) are independent from the network cores.
Table 4 The score of core authors of KM field based on Sigma indicator {مراجعه شود به فایل جدول الحاقی} As we said Sigma (Z) is introduced in (Chen, et.