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Cross-Border Learning, Technological Turbulence and Firm Performance

Published on Feb 1, 2015in Management International Review2.69
· DOI :10.1007/s11575-014-0224-5
Liliana Pérez-Nordtvedt9
Estimated H-index: 9
(UTA: University of Texas at Arlington),
Debmalya Mukherjee12
Estimated H-index: 12
(College of Business Administration),
Ben L. Kedia22
Estimated H-index: 22
(U of M: University of Memphis)
Abstract
Using knowledge-based view (KBV) and contingency arguments, we develop and test a model that investigates the relationship between the effectiveness and efficiency of cross-border knowledge gained from international business affiliates (IBAs) and the focal (recipient) firm’s performance. We argue that both of these dimensions of learning not only have a direct and positive effect on the performance of the focal firm but also a synergistic one. Also, we suggest that the direct and positive effect of both the effectiveness and the efficiency in learning from the IBA on focal firm performance is moderated by the technological turbulence of the context in which the focal firm operates. Results indicate that the effectiveness of learning, although not the efficiency in learning, positively impacts the focal firm’s performance. However, cross-border learning efficiency and effectiveness jointly improve the focal firm’s performance. Results show that the level of technological turbulence attenuates the positive effect of the effectiveness of learning on the focal firm’s performance. In fact, under high technological turbulence conditions, effective learning becomes detrimental to the focal firm’s performance.
  • References (99)
  • Citations (11)
References99
Newest
#1Di Benedetto (TU: Temple University)H-Index: 2
#2C. AnthonyH-Index: 1
#1Debmalya Mukherjee (College of Business Administration)H-Index: 12
#2Ajai S. Gaur (RU: Rutgers University)H-Index: 29
Last.Avimanyu Datta (ISU: Illinois State University)H-Index: 8
view all 3 authors...
#1Hari Bapuji (UM: University of Manitoba)H-Index: 10
#2David Loree (UWO: University of Western Ontario)H-Index: 3
Last.Mary M. Crossan (UWO: University of Western Ontario)H-Index: 27
view all 3 authors...
#1Haisu Zhang (UIC: University of Illinois at Chicago)H-Index: 4
#2Chengli Shu (UIC: University of Illinois at Chicago)H-Index: 6
Last.Alan J. Malter (UIC: University of Illinois at Chicago)H-Index: 11
view all 4 authors...
#1Liliana Pérez-Nordtvedt (UTA: University of Texas at Arlington)H-Index: 9
#2Emin Babakus (U of M: University of Memphis)H-Index: 33
Last.Ben L. Kedia (U of M: University of Memphis)H-Index: 22
view all 3 authors...
Cited By11
Newest
#1Ajai S. Gaur (RU: Rutgers University)H-Index: 29
#2Hongjia Ma (JLU: Jilin University)
Last.Baoshan Ge (JLU: Jilin University)
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#1Yang Yang (Ha Tai: Xiamen University)
#2Yang Yang (Ha Tai: Xiamen University)
Last.Zhiduan Xu (Ha Tai: Xiamen University)
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#1Deeksha Singh (RU: Rutgers University)H-Index: 9
#2Chinmay Pattnaik (USYD: University of Sydney)H-Index: 10
Last.Ajai S. Gaur (RU: Rutgers University)H-Index: 29
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#1Adeel Tariq (AIT: Asian Institute of Technology)H-Index: 2
#2Yuosre F. Badir (AIT: Asian Institute of Technology)H-Index: 11
Last.Umair Saeed Bhutta (WUT: Wuhan University of Technology)H-Index: 1
view all 4 authors...
#1Debmalya Mukherjee (College of Business Administration)H-Index: 12
#2Somnath Lahiri (ISU: Illinois State University)H-Index: 15
Last.Ajai S. Gaur (RU: Rutgers University)H-Index: 29
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