The Influence of the Entrepreneur's Open Innovation Strategy on Firm Performance

2021 ◽  
pp. 522-546
Author(s):  
Samwel Macharia Chege ◽  
Daoping Wang
Keyword(s):  
Regression Analysis ◽  
Firm Performance ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Open Innovation ◽  
Scientific Research ◽  
Innovation Strategy ◽  
Factors Influencing ◽  
Internal Capabilities ◽  
Main Factors

This article helps identify the main factors influencing the performance of small and medium agribusiness enterprises in Kenya. The study proposes five research hypotheses, each tested on a sample of 150 agribusiness enterprises using multiple regression analysis. The results show that the use of external partners, such as scientific research establishments and commercial consultants, influences the firm's performance. This influence is moderated by factors like internal capabilities and the firm's degree of openness to innovation.

The Influence of the Entrepreneur's Open Innovation Strategy on Firm Performance

2019 ◽  
Vol 32 (4) ◽  
pp. 20-41 ◽  
Author(s):  
Samwel Macharia Chege ◽  
Daoping Wang
Keyword(s):  
Regression Analysis ◽  
Firm Performance ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Open Innovation ◽  
Scientific Research ◽  
Innovation Strategy ◽  
Factors Influencing ◽  
Internal Capabilities ◽  
Main Factors

This article helps identify the main factors influencing the performance of small and medium agribusiness enterprises in Kenya. The study proposes five research hypotheses, each tested on a sample of 150 agribusiness enterprises using multiple regression analysis. The results show that the use of external partners, such as scientific research establishments and commercial consultants, influences the firm's performance. This influence is moderated by factors like internal capabilities and the firm's degree of openness to innovation.

Factors influencing the infant mortality rate in Sri Lanka

1981 ◽  
Vol 13 (3) ◽  
pp. 281-286 ◽  
Author(s):  
Dallas F. S. Fernando
Keyword(s):  
Regression Analysis ◽  
Sri Lanka ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Infant Mortality Rate ◽  
Factors Influencing ◽  
Female Employees

SummaryThis study examines by multiple regression analysis the factors influencing district variation in infant mortality rate in Sri Lanka in a given year (1971). It shows that 83% of the district variation is explained by differences in the proportion of the population that is Indian Tamil, the proportion of female employees, and the proportion of females aged 15–19 with at least 5 years of education.

scholarly journals Factors Influencing Dispensing Errors by Multiple Regression Analysis

1979 ◽  
Vol 4 (4) ◽  
pp. 171-178
Author(s):  
TAIJU YAMADA ◽  
GINICHIRO SEKI ◽  
HAJIME FUJITA ◽  
SHIZUO ITO ◽  
KANEHISA MITSUHASHI ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Factors Influencing ◽  
Dispensing Errors

Study of the Influence of Anatomical Characteristics on Dyeing Effects of Plantation Pinus sylvestnis var. mongolica litv. Veneer

2010 ◽  
Vol 113-116 ◽  
pp. 1147-1152
Author(s):  
Xue Mei Guan ◽  
Ming Hui Guo
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Correlation Coefficients ◽  
Anatomical Structure ◽  
Multiple Correlation ◽  
Factors Influencing ◽  
Tracheid Length ◽  
Multiple Correlation Coefficients ◽  
Wood Tracheid

This paper takes plantation pinus sylvestnis var. mongolica litv. as study object, determines main anatomical factors influencing wood dyeing effects by measuring the related indexes of wood anatomical structure and dyeing effects, making a multiple regression analysis of them and analyzing the correlation variation law between wood anatomical structure and dyeing effects. The results show that there is a high correlation between pinus sylvestnis var. mongolica litv. dyeing effects and wood anatomical factors and the multiple correlation coefficients between anatomical factors and various dyeing effect indexes are between 0.573 and 0.786. The main anatomical factors influencing pinus sylvestnis var.mongolica litv.dyeing effects are tracheid proportion, wood ray proportion, resin canal proportion and late wood tracheid length, etc.

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