Influence of organization learning on innovation output in manufacturing firms in Kenya

Knowledge entrepreneurship is increasingly becoming important in driving innovation for high levels of competitiveness. The purpose of this study was to investigate the relationship between Organization Learning (OL) and Innovation Output (IO) for improved performance in manufacturing firms in Kenya...

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Main Authors: Isaac Muiruri Gachanja, Stephen Irura Nga’nga’, Lucy Maina Kiganane
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-03-01
Series:International Journal of Innovation Studies
Online Access:http://www.sciencedirect.com/science/article/pii/S2096248720300096
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spelling doaj-0b6f9f5e3e3c422782225cfa975aa2b22021-02-02T09:18:46ZengKeAi Communications Co., Ltd.International Journal of Innovation Studies2096-24872020-03-01411626Influence of organization learning on innovation output in manufacturing firms in KenyaIsaac Muiruri Gachanja0Stephen Irura Nga’nga’1Lucy Maina Kiganane2Department of Entrepreneurship, Karatina University, P.O. Box 1957–10101, Karatina, Kenya; Corresponding author.Department of Entrepreneurship, Karatina University, P.O. Box 1957–10101, Karatina, KenyaDepartment of Entrepreneurship and Economics, The Cooperative University of Kenya, P.O. Box 24814–0052, Karen-Nairobi, KenyaKnowledge entrepreneurship is increasingly becoming important in driving innovation for high levels of competitiveness. The purpose of this study was to investigate the relationship between Organization Learning (OL) and Innovation Output (IO) for improved performance in manufacturing firms in Kenya. The theoretical underpinnings on this study are the Schumpeter’s (1934) innovation theory of and the Gleick (1987) complexity theory. The methodology used was mixed method research because it provides a more holistic understanding of a thematic area. The research design that was used is cross-sectional design because it allows for making observations on different characteristics that exist within a group at a particular time. The target population was manufacturing firms across the country. Multi-stage sampling strategy was used to sample 303 respondents from 101 firms. Primary and secondary data were used to collect both qualitative and quantitative data. The questionnaire, interview schedule and a checklist of key informants were used to collect data. Content validity was used to ascertain the credibility of the research procedure and internal consistency technique was used to test for reliability. Correlation and linear regression were used to determine the relationship between OL and IO. Work disruptions were avoided by making prior arrangements and appointments. The findings indicate that OL has a significant influence on IO. It is recommended that lifelong learning, management support and risk tolerance should be encouraged to improve creativity. High creativity is important in raising the capacity to integrate internal and external knowledge for greater levels of IO. Further research should be carried out to find how customers and suppliers information can be utilized to enriched OL. Keywords: Organization learning, Innovation output, Competitiveness, Lifelong learning, Risk tolerancehttp://www.sciencedirect.com/science/article/pii/S2096248720300096
collection DOAJ
language English
format Article
sources DOAJ
author Isaac Muiruri Gachanja
Stephen Irura Nga’nga’
Lucy Maina Kiganane
spellingShingle Isaac Muiruri Gachanja
Stephen Irura Nga’nga’
Lucy Maina Kiganane
Influence of organization learning on innovation output in manufacturing firms in Kenya
International Journal of Innovation Studies
author_facet Isaac Muiruri Gachanja
Stephen Irura Nga’nga’
Lucy Maina Kiganane
author_sort Isaac Muiruri Gachanja
title Influence of organization learning on innovation output in manufacturing firms in Kenya
title_short Influence of organization learning on innovation output in manufacturing firms in Kenya
title_full Influence of organization learning on innovation output in manufacturing firms in Kenya
title_fullStr Influence of organization learning on innovation output in manufacturing firms in Kenya
title_full_unstemmed Influence of organization learning on innovation output in manufacturing firms in Kenya
title_sort influence of organization learning on innovation output in manufacturing firms in kenya
publisher KeAi Communications Co., Ltd.
series International Journal of Innovation Studies
issn 2096-2487
publishDate 2020-03-01
description Knowledge entrepreneurship is increasingly becoming important in driving innovation for high levels of competitiveness. The purpose of this study was to investigate the relationship between Organization Learning (OL) and Innovation Output (IO) for improved performance in manufacturing firms in Kenya. The theoretical underpinnings on this study are the Schumpeter’s (1934) innovation theory of and the Gleick (1987) complexity theory. The methodology used was mixed method research because it provides a more holistic understanding of a thematic area. The research design that was used is cross-sectional design because it allows for making observations on different characteristics that exist within a group at a particular time. The target population was manufacturing firms across the country. Multi-stage sampling strategy was used to sample 303 respondents from 101 firms. Primary and secondary data were used to collect both qualitative and quantitative data. The questionnaire, interview schedule and a checklist of key informants were used to collect data. Content validity was used to ascertain the credibility of the research procedure and internal consistency technique was used to test for reliability. Correlation and linear regression were used to determine the relationship between OL and IO. Work disruptions were avoided by making prior arrangements and appointments. The findings indicate that OL has a significant influence on IO. It is recommended that lifelong learning, management support and risk tolerance should be encouraged to improve creativity. High creativity is important in raising the capacity to integrate internal and external knowledge for greater levels of IO. Further research should be carried out to find how customers and suppliers information can be utilized to enriched OL. Keywords: Organization learning, Innovation output, Competitiveness, Lifelong learning, Risk tolerance
url http://www.sciencedirect.com/science/article/pii/S2096248720300096
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