{"title":"Give or keep A transactive memory approach to understanding knowledge hoarding on the organisational digital knowledge repository","authors":"Chunke Su","doi":"10.1504/ijkms.2020.10026754","DOIUrl":null,"url":null,"abstract":"The goal of this research is to apply and extend transactive memory systems (TMS) theory to investigate the individual and social network factors that influence organisational members' knowledge hoarding on the digital knowledge repository. Specifically, this study examines how key mechanisms in the organisational TMS development, including personal expertise, accuracy in expertise recognition, social network centralities and individual perceptions of other members' knowledge hoarding behaviours, could promote or demote knowledge hoarding on the digital knowledge repository. Survey data were collected from 110 employees working in nine consulting teams. Results showed that team members' knowledge hoarding on the digital knowledge repository was negatively influenced by one's expertise level, but positively influenced by one's betweenness centrality in the social network and one's perception of other team members' knowledge hoarding on the digital knowledge repository. This research offers theoretical and pragmatic implications for effective utilisation of digital knowledge repositories in organisational settings.","PeriodicalId":39285,"journal":{"name":"International Journal of Knowledge Management Studies","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge Management Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijkms.2020.10026754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 3
Abstract
The goal of this research is to apply and extend transactive memory systems (TMS) theory to investigate the individual and social network factors that influence organisational members' knowledge hoarding on the digital knowledge repository. Specifically, this study examines how key mechanisms in the organisational TMS development, including personal expertise, accuracy in expertise recognition, social network centralities and individual perceptions of other members' knowledge hoarding behaviours, could promote or demote knowledge hoarding on the digital knowledge repository. Survey data were collected from 110 employees working in nine consulting teams. Results showed that team members' knowledge hoarding on the digital knowledge repository was negatively influenced by one's expertise level, but positively influenced by one's betweenness centrality in the social network and one's perception of other team members' knowledge hoarding on the digital knowledge repository. This research offers theoretical and pragmatic implications for effective utilisation of digital knowledge repositories in organisational settings.
期刊介绍:
“Knowledge as a key resource will contribute to improved organisational performance if it is properly leveraged and harnessed." IJKMS is a refereed and authoritative source of information in the field of knowledge management and related aspects. Topics covered include: -Knowledge creation, acquisition, codification, classification, organisation -Knowledge sharing, transfer, application, protection, retention -KM design and development -KM management and implementation -Measurement of knowledge management performance and benefits -Techniques and methods for managing knowledge -Technological tools for knowledge management, e.g. -knowledge bases, collaborative tools -expert/intelligent systems, knowledge mining/extraction -content/document management -portals, search and retrieval -e-learning, virtual reality, business intelligence, etc. -Human, organisational, strategic, behavioural, socio-cultural aspects -Public policy, economics, education policy, intellectual capital, ethics -Other related aspects of KM