An empirical investigation of the antecedents of partnering capability
Anatoli Colicev,
Pietro De Giovanni and
Vincenzo Esposito Vinzi
International Journal of Production Economics, 2016, vol. 178, issue C, 144-153
Abstract:
In this paper, we propose a new approach to evaluating firms’ Partnering Capability. While previous research treats Partnering Capability as an exogenous factor, we take into account its antecedents and thus conceive it as endogenous. Our motivations are driven by the fact that firms ex-ante evaluate their partners by assessing their Partnering Capability. We focus on departmental integration, customer service, and economic and operational performance as key antecedents of Partnering Capability. Our empirical findings show that Partnering Capability is directly induced by operational performance and departmental integration. In addition, customer service along with departmental integration generates a chain of indirect effects due to economic and operational performance. Finally, we investigate the importance-performance matrix analysis (IMPA) that further identifies the managerial levers to enhance Partnering Capability.
Keywords: Partnering capability; Departmental integration; Customer service; Performance; PLS-PM; IMPA (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527316300846
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:178:y:2016:i:c:p:144-153
DOI: 10.1016/j.ijpe.2016.05.013
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().