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An accounting perspective for measuring open innovation: framework and application

Authors: LAMBERTI, EMILIA;

An accounting perspective for measuring open innovation: framework and application

Abstract

The research presented in this thesis proposes an accounting framework for measuring the openness degree of companies’ innovation processes through the analysis of audited consolidated financial statements. Four metrics are defined, based on costs and revenues deriving from OI activities and new investments and divestments of intangibles, and combined to obtain a synthetic measure of openness. Hence, the research objectives of my PhD thesis are the following:  O1: Literature review: To review the state-of-the-art of OI research, underlying the different methods of measuring OI adoption and identifying specific categories of metrics, on the basis of how they have been operationalized by scholars.  O2: Measurement framework for OI: To design a methodology that considers the pecuniary aspects of OI practices, by focusing on the “acquiring” and “selling” models introduced by Dahlander and Gann (2010).  O3: Validation: To test the methodology with an empirical study in the biopharmaceutical industry, in order to validate both the framework applicability and its explicative power and usefulness.

Country
Italy
Related Organizations
Keywords

330, Industrial Engineering, Measuring Open Innovation, Settore IIND-03/B - Disegno e metodi dell'ingegneria industriale, 650, Settore ING-IND/15 - DISEGNO E METODI DELL'INGEGNERIA INDUSTRIALE, industrial engineering; measuring open innovation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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