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Authors:
Oleg Sorochak, ORCID: https://orcid.org/0000-0003-2889-9284 National University ‘Lviv Polytechnic’ (Ukraine) Svitlana Kvak, ORCID: https://orcid.org/0000-0001-5104-0617 Lviv Ivan Franko National University (Ukraine) Maryana Gvozd, ORCID: https://orcid.org/0000-0001-7842-694X National University ‘Lviv Polytechnic’ (Ukraine)
Pages: 68-84
Language: English
DOI: https://doi.org/10.21272/mmi.2020.2-05
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Abstract
The article summarizes the arguments within the scientific challenge in choosing the innovation and investment strategy of machine-building enterprises. The main objective of the research is to develop a model for choosing the optimal strategy for innovation and investment development of machine-building enterprises, taking into account their level of investment attractiveness in the market and the level of innovative capacity as well. Systematization of theoretical and methodological material on the model of choosing the innovation and investment strategy of machine-building enterprises has given grounds to conclude that further research is required regarding the modelling issues based on the indicators of a sophisticated analysis of the investment attractiveness of the enterprise and determining its level of innovation potential in order to increase the efficiency of the domestic machine-building enterprises. The relevance of solving this problem is that it is the right choice of a particular type of innovation and investment strategy will help machine-building enterprises to improve the efficiency of their operation and to establish competitive positions in the market. The methodical tools of the research on the model of choosing the innovation and investment strategy are the matrix and convolution methods based on the fuzzy-set theory. The objects of the research JV «Spheros-Elektron» LLC, LEONI Wiring Systems UA GmbH and PJSC «Drohobych Truck Crane Plant» were chosen, because they reveal peculiarities of the machine-building enterprises’ operation in L’viv region. The paper presented the findings of the choice of appropriate innovation and investment strategies, which showed that PJSC «Drohobych Truck Crane Plant» has entered the zone of application of the strategy of innovation changes and is characterized by both low level of investment attractiveness and low level of the innovative potential. JV «Spheros-Elektron» LLC and LEONI Wiring Systems UA GmbH – both have entered the zone of application of the strategy of differentiation, characterized by an average level of investment attractiveness and a satisfactory level of innovation potential. However, according to the first parameter – the level of investment attractiveness of the company on the market, LEONI Wiring Systems UA GmbH has also approached and is close enough to the application of the opportunistic strategy. The research empirically confirms and theoretically proves that in order to remain on the market of PJSC «Drohobych Truck Crane Plant», it is necessary to modernize the products radically. Furthermore, the main tasks of implementing the differentiation strategy for «Spheros-Elektron» and «LEONI» should be: to invest in the activities of research institutions; to conduct consumer preferences analysis; the analysis of its production capacities; installation of new production lines according to the achievements of the technical progress; production output, which is in demand by the population; holding a capable advertising company. The results of the research can be useful for industrial enterprises in general and machine-building enterprises, in particular.
Keywords: fuzzy-set theory, innovation and investment strategies, machine-building enterprise, the model for the selection of the strategy, the strategy of innovation development.
JEL Classification: B41, C61, C80, D81, L69.
Cite as: Sorochak, O., Kvak, S., & Gvozd, M. (2020). The model for selection of innovation and investment strategy of machine-building enterprises: practical aspect. Marketing and Management of Innovations, 2, 68-84. https://doi.org/10.21272/mmi.2020.2-05
This work is licensed under a Creative Commons Attribution 4.0 International License
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