The Impact of Knowledge Enterprise on the Performance of Knowledge-Based Firms, Considering the Mediating Role of Competitive Strategy

Normal 0 false false false EN-US X-NONE FA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-bidi-language:FA;} Normal 0 false false false EN-US X-NONE FA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-bidi-language:FA;} The Impact of Knowledge Enterprise on the Performance of Knowledge-Based Firms, Considering the Mediating Role of Competitive Strategy Purpose: This study aimed to investigate the impact of entrepreneurial orientation on the performance of knowledge-based firms, considering the mediating role of competitive strategy. Design/methodology/approach: This applied research employed a descriptive-survey method to analyze the current situation. The study population consisted of knowledge-based firms in Tehran. The sample size was determined using Cochran's formula, and a random sampling method was used to select participants. Data was collected through questionnaires and a review of library and internet resources, including books, articles, and case studies. In the inferential statistics stage, after assessing the reliability and validity of the questionnaire, the normality of the data was checked using the Kolmogorov-Smirnov test. Then, structural equation modeling (SEM) was employed using LISREL software to test the hypotheses. Findings: The results indicated that all hypotheses were supported, with the highest coefficient being 0.91.