Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/28695
Author(s): Cunha, S.
Lopes da Costa, R.
Gonçalves, R.
Pereira, L.
Dias, Á.
Date: 2023
Title: Smart systems to mitigate failure of strategic alliances
Journal title: International Journal of Productivity and Quality Management
Volume: 38
Number: 1
Pages: 26 - 52
Reference: Cunha, S., Lopes da Costa, R., Gonçalves, R., Pereira, L., & Dias, Á. (2023). Smart systems to mitigate failure of strategic alliances. International Journal of Productivity and Quality Management, 38(1), 26-52. http://dx.doi.org/10.1504/IJPQM.2023.128609
ISSN: 1746-6474
DOI (Digital Object Identifier): 10.1504/IJPQM.2023.128609
Keywords: Artificial intelligence
Strategic alliances
Smart systems
Abstract: Despite the strategic importance of alliances and the numerous benefits that this corporate strategy brings to companies, success rates are still very low, with several causes of failure presented in the literature. On the other hand, the implementation of smart systems has proved to be very promising when applied to the different tools of business management. In order to find solutions to this problem, the main objective of this investigation was to study the impact that the use of smart systems has on the operational optimization of the company and in mitigating the causes of failure of strategic alliances in Portugal. This research used a qualitative approach, through the content analysis of 17 interviews with managers and professionals in the area. The study concludes that the implementation of smart systems has the potential to mitigate 7 of the 10 main causes of failure of strategic alliances. Also, concerning the future of the implementation of smart systems, it was concluded that the traditional models of strategic alliances are being questioned regarding their effectiveness and adequacy in dealing with the new market challenges brought about by technological development and should therefore be rethought and adapted to a more collaborative and integrated model.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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