Factors influencing technology and knowledge transfer: Configurational recipes for Sub-Saharan Africa
Ellis L.C. Osabutey and
Zhongqi Jin
Journal of Business Research, 2016, vol. 69, issue 11, 5390-5395
Abstract:
General studies on technology and knowledge (T&K) transfer to developing countries have often adopted methods that yield inconsistent results. Traditional quantitative methods, alone, have limitations in their ability to account for complex interaction between variables. This article adopts configurational recipes, using fuzzy set qualitative comparative analysis (fsQCA) to supplement the analysis. This research carefully and systematically selects responses from experts and practitioners in the construction industry in Ghana. The results reveal two configurational recipes for high quality of T&K transfer: effective industry institutions, education effectiveness, and less congestion of firms; and joint presence of high government policy incentives, effective industry institutions, and education effectiveness. This study extends significantly the existing literature regarding T&K transfer in developing countries in general and in Sub-Saharan Africa (SSA) in particular.
Keywords: Technology and knowledge transfer; Construction industry; Africa; fsQCA (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296316303472
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:69:y:2016:i:11:p:5390-5395
DOI: 10.1016/j.jbusres.2016.04.143
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().