Abstract

Many companies embrace Industry 4.0 technologies to enable operational sustainability against increasing climate change effects, decreasing natural resources, and raising consumer awareness of environmental issues. Even though readiness and maturity assessment of smartness and sustainability concepts are nested, no study simultaneously focuses on these concepts. As pioneering research, we propose a novel model titled “Smart and Sustainable Supply chain Readiness and Maturity model (S3RM)” and validate it by conducting a case study in the automotive industry. We design our model upon the triple-bottom-line (TBL) approach consisting of smartness and sustainability dimensions. Our study introduces the TBL of smartness covering availability, integrity, and adaptability sub-dimension. TBL of sustainability includes social, environmental, and economic sub-dimensions. The proposed model calculates the Smart and Sustainable Readiness and Maturity Index by averaging sustainability scores’ summation and smartness scores’ multiplication. Each sub-dimension consists of items measured by a readiness and maturity scale. The findings suggest how smartness and sustainability items create strengths, weaknesses, opportunities, and threats for the supply chain operations. Our model provides managerial implications in assessing the readiness and maturity of Industry 4.0 tools and sustainability indicators. This study offers a road map to managers on smart and sustainable supply chains’ defined target areas.

摘要

许多公司采用工业 4.0 技术，以实现运营的可持续性，以应对日益严重的气候变化影响、减少自然资源，并提高消费者对环境问题的认识。尽管智能和可持续性概念的准备度和成熟度评估是嵌套的，但没有研究同时关注这些概念。作为开创性研究，我们提出了一种名为“智能和可持续供应链准备度和成熟度模型（S3RM）”的新颖模型，并通过在汽车行业进行案例研究来验证它。我们根据由智能和可持续性维度组成的三重底线（TBL）方法设计我们的模型。我们的研究引入了智能的TBL，涵盖可用性、完整性和适应性子维度。可持续发展的 TBL 包括社会、环境、和经济子维度。所提出的模型通过平均可持续性得分的总和与智能得分的乘积来计算智能和可持续的准备度和成熟度指数。每个子维度都包含通过准备度和成熟度量表衡量的项目。研究结果表明，智能和可持续发展项目如何为供应链运营创造优势、劣势、机遇和威胁。我们的模型为评估工业 4.0 工具和可持续性指标的准备情况和成熟度提供了管理意义。这项研究为管理者提供了智能和可持续供应链既定目标领域的路线图。每个子维度都包含通过准备度和成熟度量表衡量的项目。研究结果表明，智能和可持续发展项目如何为供应链运营创造优势、劣势、机遇和威胁。我们的模型为评估工业 4.0 工具和可持续性指标的准备情况和成熟度提供了管理意义。这项研究为管理者提供了智能和可持续供应链既定目标领域的路线图。每个子维度都包含通过准备度和成熟度量表衡量的项目。研究结果表明，智能和可持续发展项目如何为供应链运营创造优势、劣势、机遇和威胁。我们的模型为评估工业 4.0 工具和可持续性指标的准备情况和成熟度提供了管理意义。这项研究为管理者提供了智能和可持续供应链既定目标领域的路线图。