Knowledge Acquisition and Competitiveness of Manufacturing Enterprises

Marcin Soniewicki


This article concentrates on companies operating in the manufacturing industry. These entities are currently put under pressure to constantly innovate to generate as much profit as possible. However, to perform this task they need to continuously gain new, valid knowledge. This work concentrates on knowledge acquisition processes in manufacturing enterprises, particularly knowledge sources they use. The main aim of the article is checking if intensity of knowledge acquisition processes by manufacturing companies influence their competiveness. Moreover, it tries to learn if particular categories of knowledge sources cause that manufacturing companies are more competitive as well as to check if there are differences in the matter of knowledge acquisition processes’ influence on competitiveness depending on type of manufacturing company. This paper is based on quantitative study conducted in Poland on the sample of 334 manufacturing enterprises. The research results reveal that: practically every increase in intensity of knowledge acquisition increase competitiveness of manufacturing enterprises, firms need to try out various knowledge sources’ combinations in order to be competitive, acquiring as much knowledge as possible from many sources is especially important in case of high and medium-high technology manufacturing companies. The article also lists series of valuable recommendations for manufacturing companies’ managers.
Author Marcin Soniewicki (WGM / KMM)
Marcin Soniewicki,,
- Department of International Marketing
Journal seriesInternational Journal of Business Development and Research, ISSN 2286 - 6213, (0 pkt)
Issue year2016
Publication size in sheets0.75
Keywords in EnglishCompetitiveness, Competitive advantage, Knowledge, Knowledge acquisition, Knowledge source, Manufacturing
Languageen angielski
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 0.0, 12-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 5.0, 12-12-2019, ArticleFromJournal
Citation count*2 (2021-05-04)
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