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The main purpose of this study was to investigate the mediating effect of Market Orientation (MO) on the relationship between entrepreneurial orientation dimensions (EO) namely: Innovativeness, Proactiveness, Risk-taking and organizational performance (OP). The motivation for this study was driven by the inconsistent findings in the literature concerning the relationships between EO, and organizational performance. Due to the inconsistent results, a new research has emerged and this has prompted further investigation on the effect of other variables that may better explain the nature of these links. In the related literature, many theories have suggested that the compatibility between strategies, resources, and capabilities as the keys for success. Questionnaires were distributed to 400 Sections of the Libyan banks. 230 questionnaires were returned and used in the analysis using the PLS-SEM. The results of this study revealed that EO dimensions were positive and have also been proven to be significant predictors of organizational performance. More importantly, the results have also confirmed the mediating effect of Market Orientation on the relationships between EO dimensions, and organizational performance.
This study contributes to the existing literature by examined the role of market orientation in maximizing organizational performance – specifically, its mediating role in the relationships of EO and organizational performance.
Dynamic Analysis of Competitive Technology Innovation Diffusion Model
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Technological innovation diffusion theory and models play an important position in the forecasting field. Many researchers use these models to predict in different areas. Although the basic Bass model easy to use, but there are many limitations, the effects of Bass diffusion model for innovation diffusion factors (such as price, advertising, income, and technology supply) cannot measure. In order to find the principles of the relationships between innovations and the importance of the affection on the active of an innovation, this paper reviews the application of innovation diffusion models in the field of demand forecasting, through summarizing and analyzing a variety of predication models. Competitive innovation diffusion model include of monopolistic competition in a technology diffusion models and the evolution of the coexistence of two technologies competing diffusion evolution model. Under the aim of this paper, it uses mathematical methods in-depth analysis of competition, technological innovation diffusion models. This mathematical method includes nonlinear equilibrium point, stability analysis. Through the asymmetric evolutionary stability analysis, the paper derived the long-term evolutionary stable equilibrium of the innovation. Finally, the paper gives some suggestions on how to strength the competitive technology innovation in diffusion model.
The paper’s primary contribution is the establishment of a competitive technological innovation diffusion model base on Bass model. It has built monopoly competitive diffusion model, the coexistence of two technologies competing diffusion model and lemma and theorem to solve this nonlinear equilibrium point.