Determinants of relocation mode choice: effect of resource endowment, competitive intensity and activity character

Marlena Dzikowska , Radosław Malik

Abstract

The study investigates the factors determining relocation mode choice (in-house sourcing, outsourcing, captive offshoring, offshore outsourcing) and provides an insight into the behaviour of companies from a transition economy. A multinomial logit model run on a sample of 150 Polish companies from the automotive and clothing industries allows us to refer to four hypotheses based on strategic management literature emphasising core activities, resource endowment and competition intensity. Our research indicates that relocations undertaken by firms operating in a transition economy are characterised with unique qualities that are not frequently associated with business entities from developed economies and require special consideration.
Author Marlena Dzikowska (WGM / KKM)
Marlena Dzikowska,,
- Department of International Competitiveness
, Radosław Malik - Szkoła Główna Handlowa w Warszawie (SGH), MNiSW [80]
Radosław Malik,,
-
Journal seriesEuropean Journal of International Management, ISSN 1751-6757, e-ISSN 1751-6765, (N/A 40 pkt)
Issue year2020
Nofirst online
Pages1-26
Publication size in sheets1.25
Keywords in Polishelokacja, forma relokacji, offshoring, outsourcing, kluczowe obszary działalności, intensywność konkurencji, captive offshoring, offshore outsourcing, gospodarka w tranzycji
Keywords in Englishrelocation; relocation mode choice; offshoring; outsourcing; core activities; competitive intensity; offshore outsourcing; captive offshoring, transition economy.
ASJC Classification1403 Business and International Management; 1407 Organizational Behavior and Human Resource Management; 3304 Education
DOIDOI:10.1504/EJIM.2020.10022072
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 26-06-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.604; WoS Impact Factor: 2017 = 0.672 (2) - 2017=0.905 (5)
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UwagiFirst online 19.06.2020
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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