Measuring knowledge sharing performance with DEA efficiency scores: efficiency model.

Oluwafemi Oyemomi, Shaofeng Liu, Irina Neaga

Research output: Contribution to conferenceAbstractpeer-review

Abstract


The purpose of this work is to investigate organizational decision making by analyzing operation factors that are inherent to knowledge sharing and business process, and how these factors ultimately contribute to the improvement of organizational performance. Considering knowledge sharing as a key factor for driving innovation in the organization’s business performance, both explicit and tacit knowledge sharing is considered for promoting a novel robust approach for business knowledge process. This research explores the application of fuzzy-set qualitative comparative analysis (fsQCA), as a set-theoretic comparative analysis approach, to investigate the relationships between knowledge sharing, business process and organizational performance through the identification of key organizational operation factors. Based on the empirical data collected from 28 cases, the analysis results demonstrate the important role of organizational operation factors in knowledge sharing and business knowledge process, which directly contribute to the improvement of organizational performance.
Original languageEnglish
Publication statusPublished - 23 May 2016
Event2nd International Conference on Decision Support System Technology, ICDSST 2016 - Plymouth, United Kingdom
Duration: 23 May 201625 May 2016

Conference

Conference2nd International Conference on Decision Support System Technology, ICDSST 2016
Country/TerritoryUnited Kingdom
CityPlymouth
Period23/05/1625/05/16

Fingerprint

Dive into the research topics of 'Measuring knowledge sharing performance with DEA efficiency scores: efficiency model.'. Together they form a unique fingerprint.

Cite this