The ups and downs of open innovation efficiency: the case of Procter & Gamble
Han, Chunjia, Thomas, Stephen, Yang, Mu and Cui, Yongmei (2019) The ups and downs of open innovation efficiency: the case of Procter & Gamble. European Journal of Innovation Management. ISSN 1460-1060 (doi:10.1108/EJIM-04-2019-0108)
Preview |
PDF (Author Accepted Manuscript)
25021 HAN_The_Ups_and_Downs_of_Open_Innovation_Efficiency_2019.pdf - Accepted Version Download (897kB) | Preview |
Abstract
Open innovation (OI) has become increasingly popular as an enterprise strategy in both industry and academia, and has been adopted, at least in part, by many companies. Despite this popularity, there is a dearth of evaluation of OI efficiency and a lack of suitable quantitative indices. In this study, we used both Data Envelopment analysis (DEA) and Malmquist techniques to compare the pre- and post-transition levels of performance achievement of Procter&Gamble (P&G), a widely recognised and public early adopter of OI, with a group of its main competitors. Most detailed analysis of the time-course revealed that the innovation efficiency of P&G improved rapidly and substantially after its embracing of OI, an effect we term the ‘open rise’. However, there is also a transient decline in R&D efficiency at the beginning of OI adoption (‘open dip’) and an unexpected and marked decline (‘open drop’) after the peak positive effect.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | open innovation, performance evaluation, data envelopment analysis, Proctor & Gamble |
Subjects: | H Social Sciences > HF Commerce |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group |
Last Modified: | 01 May 2020 14:51 |
URI: | http://gala.gre.ac.uk/id/eprint/25021 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year