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Benchmarking the competitiveness of industrial sectors: Application in textiles

机译：衡量工业部门竞争力的基准：在纺织品中的应用

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Purpose - The paper aims to present a clear methodological path for assessing the competitiveness of a specific industrial sector with the use of the Industrial Excellence Award (TEA) model. The paper introduces the concepts evaluated by the IEA model and addresses the ways with which varied management data may be analyzed in order to provide useful insights for improvement in industrial processes such as new product and process development, supply chain management, strategy formulation and deployment. Design/methodology/approach - Sixty European textile companies provided information concerning their business processes over the course of three years in accordance with the Industrial Excellence Award (IEA) model developed by INSEAD Business Schools. Subsequently, the textile industry companies were compared with 73 excellence-driven European manufacturers which either won or distinguished themselves in the award competition during the same time period. The management information from both datasets was treated with the proper statistical tools (according to their nature) in order to attain secure and minimally biased conclusions. Findings - The benchmarking process revealed the areas in which the textile sector was lagging behind the excellence-driven manufacturers. Furthermore, it detected their differences in specific measures of industrial management and business mentality. On a theoretical level, the analysis verified the general reliability of the IEA model's scales, aiming at assessing abstract management constructs while fine tuning them. Research limitations/implications - The thorough inspection of the textile companies' performance attributes and characteristics has identified many of the sector's shortcomings that merit further investigation. Practical implications - The results of the analysis served as valuable feedback to textile managers aiming at bettering their industrial processes in many ways, such as benchmarking their performance against their sector or other sectors, and observing trends that managers from other sectors are putting effort into in order to improve their performance. Originality/value - The paper provides a clear-cut methodology for the understanding and statistical analysis of multifaceted industrial management data included in excellence models.
机译：目的-本文旨在通过使用“行业卓越奖”（TEA）模型为评估特定工业部门的竞争力提供一条清晰的方法论途径。本文介绍了由IEA模型评估的概念，并介绍了可用于分析各种管理数据的方法，以便为改进工业过程提供有用的见解，例如新产品和过程开发，供应链管理，战略制定和部署。设计/方法/方法-六十家欧洲纺织公司根据INSEAD商学院开发的工业卓越奖（IEA）模型，在三年的过程中提供了有关其业务流程的信息。随后，将纺织工业公司与73家卓越的欧洲制造商进行了比较，这些制造商在同一时期的奖项竞赛中均获奖或脱颖而出。来自两个数据集的管理信息均已使用适当的统计工具（根据其性质）进行了处理，以便获得可靠且偏差最小的结论。调查结果-基准测试过程揭示了纺织领域落后于追求卓越的制造商的领域。此外，它发现了它们在具体的产业管理和商业心智指标上的差异。从理论上讲，该分析验证了IEA模型规模的总体可靠性，旨在评估抽象管理结构，同时对其进行微调。研究的局限性/意义-彻底检查纺织公司的绩效属性和特征已经发现了该行业的许多缺点，值得进一步研究。实际意义-分析结果为纺织经理提供了宝贵的反馈意见，旨在以多种方式改善他们的工业流程，例如以他们所在部门或其他部门的绩效为基准，并观察其他部门的管理人员正在努力的趋势。为了提高他们的表现。原创性/价值-本文提供了一种清晰的方法，用于理解和统计卓越模型中包含的多方面工业管理数据。

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