Identifying the factors affecting strategic decision-making ability to boost the entrepreneurial performance: A hybrid structural equation modeling – artificial neural network approach

Frontiers in Psychology

article

Jiaying Feng¹  Ping Han²  Wei Zheng³  Asif Kamran⁴ 

[1] School of Economics and Management, Harbin University;School of Economics, Harbin University of Commerce;Department of Finance, Harbin University;Faculty of Business Management and Study, Nazeer Hussain University

关键词: strategic decision-making;    Entrepreneurship;    performance;    cognitive;    SEM;   

DOI  :  10.3389/fpsyg.2022.1038604

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

This study builds a conceptual model of strategic decision-making ability that leads to entrepreneurial performance based on the two-system decision-making theory and logical analysis. An empirical approach using structural equation modeling – artificial neural network (SEM-ANN) was performed to describe the linear and nonlinear relationships in the proposed model. The empirical results reveal that strategic decision-making abilities are affected by five factors: attention, memory, thinking, emotion, and sentiment, and whose influence mechanisms and degrees are varied. Results also describe that these abilities have a positive effect on overall entrepreneurial performance. Therefore, results suggest that businesses’ strategic decision-making is usually strengthened when entrepreneurs have a clear understanding of these influencing elements, and the interaction between them leads to improved performance.

【 授权许可】

CC BY