Abstract

This study proposes an effectiveness-based hierarchical data envelopment analysis (H-DEA) method to endogenously assign weights with the purpose of aggregating subcategories for an innovation capital index in the global airline industry. The study comprises airlines ranked in the World's Top 100 Airlines in 2018. The effectiveness-based H-DEA results provide evidence that there are opportunities for airlines to improve their innovation capital index, on average, by 48%. Relatively low scores in the internal capital category are identified as the major contributor to the poor innovation capital index, and the optimal scores and weights of the innovation capital index are found to differ by geographical location. Effectiveness-based H-DEA offers an alternative method for determining the optimal weight of an innovation capital index in a multidimensional setting for international comparison. The flexible weight can help each airline to focus on the critical innovation capital categories requiring improvement to create an effective business strategy. To the best of the authors' knowledge, to date, no studies have focussed on innovation capital in the airline industry. This study also provides a detailed discussion on how to assess the innovation capital index in the global airline industry specifically using the effectiveness-based H-DEA method.

摘要

本研究提出了一种基于有效性的分层数据包络分析 (H-DEA) 方法，用于内生分配权重，目的是为全球航空业的创新资本指数聚合子类别。该研究包括在 2018 年排名世界 100 强航空公司的航空公司。基于有效性的 H-DEA 结果证明航空公司有机会将其创新资本指数平均提高 48%。内部资本类别中相对较低的分数被确定为创新资本指数较差的主要贡献者，创新资本指数的最佳分数和权重因地理位置而异。基于有效性的 H-DEA 提供了一种替代方法，用于在多维环境中确定创新资本指数的最佳权重，以进行国际比较。灵活的权重可以帮助每家航空公司专注于需要改进的关键创新资本类别，以制定有效的业务战略。据作者所知，迄今为止，还没有研究关注航空业的创新资本。本研究还详细讨论了如何使用基于有效性的 H-DEA 方法评估全球航空业的创新资本指数。据作者所知，迄今为止，还没有研究关注航空业的创新资本。本研究还详细讨论了如何使用基于有效性的 H-DEA 方法评估全球航空业的创新资本指数。据作者所知，迄今为止，还没有研究关注航空业的创新资本。本研究还详细讨论了如何使用基于有效性的 H-DEA 方法评估全球航空业的创新资本指数。