Transactive Memory System and QM: Exploring Knowledge capacities
Identificadores
URI: http://hdl.handle.net/10481/53778Metadatos
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Emerald Publishing Limited
Materia
Universities Research and development Spain Transactive memory systems Quality management Knowledge transfer Knowledge absorption R&D groups
Fecha
2013Referencia bibliográfica
Cabeza Puges, D.; Gutiérrez Gutierrez, L. and Lloréns Montes, F.J. (2013): “Transactive Memory System and QM: Exploring Knowledge capacities”. Industrial Management & Data Systems. Vol. 113, n.2, pp.294-318
Resumen
Purpose
– The purpose of this paper is to study how transactive memory systems (TMS) facilitate the transfer and absorption of knowledge in the presence of quality management (QM) within a university research and development (R&D) environment.
Design/methodology/approach
– The data come from a simple random sampling of 257 Spanish university R&D groups in nine different areas of knowledge. To verify the hypotheses, the authors used multiple linear regression analysis with a moderating effect.
Findings
– The conclusions show that the relationship between knowledge transfer (KT) and TMS is significant when QM practices are included as a moderating variable but that this is not the case for knowledge absorption (KA), which does not show any effect.
Research limitations/implications
– The effects described were found in a sample composed of various R&D sectors taken from a single country and not distributed equally. Further, the perception analyzed represents the judgment of a single manager.
Practical implications
– It is interesting to study this interaction in university R&D because of the important role R&D plays in the development of regions. Improving the internal processes of this research helps to make its results more competitive. This study contributes information on non‐business management and introduces university R&D to the use of QM practices.
Originality/value
– The authors found no studies that test empirically the moderating effect of QM practices on the relationships studied in university R&D. The paper's results contribute information to help fill this gap and demonstrate once again that QM practices can be applied to any environment.