A CM-BWM Approach to Determinants of Open Innovation in Small and Medium-Sized Enterprises
本文结合认知映射与最佳最差方法，识别并计算影响中小企业开放式创新倾向的关键因素权重，帮助管理者进行更全面的评估与决策。
Open innovation has gradually gained greater importance over time as commitment to a culture of constant innovation has become increasingly indispensable for organizations’ long-term survival. This trend has made understanding the factors that affect innovation capacity and success imperative. Given the wide range of determinants already identified, researchers seeking to analyze these factors face difficult, extremely complex challenges in terms of determining their effects on small and medium-sized enterprises (SMEs). The existing literature mentions limitations arising from how criteria have been selected for evaluation systems and how these determinants’ relative weights have been defined. This article develops an analysis system that combines cognitive mapping—based on the jointly understanding, reflecting, and negotiating strategy making approach—and the best-worst method. The two main aims are to identify the most significant criteria for evaluations of SME propensity to engage in open innovation and to calculate these factors’ relative weights. This article focuses on promoting realistic, comprehensive analyses that foster clearer and more conscious decision making based on a holistic view of open innovation assessment.