Measuring Digital Transformation Maturity of Supply Chain
暂无分享,去创建一个
[1] Gülçin Büyüközkan,et al. Digital Supply Chain: Literature review and a proposed framework for future research , 2018, Comput. Ind..
[2] A. Kashani,et al. Additive manufacturing (3D printing): A review of materials, methods, applications and challenges , 2018, Composites Part B: Engineering.
[3] Christof Ebert,et al. Digital Transformation , 2018, IEEE Software.
[4] R. Narain,et al. Digital supply chain management: An Overview , 2018, IOP Conference Series: Materials Science and Engineering.
[5] Thomas Hess,et al. Understanding Digital Transformation Strategy formation: Insights from Europe's Automotive Industry , 2016, PACIS.
[6] M. Wilson. General System Theory: Towards the Unification of Science , 2015 .
[7] Jelena Titko,et al. Digital transformation: conceptual framework , 2019, Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2019.
[8] Faisal Iddris. Digital Supply Chain: Survey of the Literature , 2018 .
[9] Ivana Martinčević,et al. TECHNICAL AND TECHNOLOGICAL COMPETENCE AS FOUNDATION FOR DIGITAL TRANSFORMATION , 2020, QUALITY – YESTERDAY, TODAY, TOMORROW.
[10] Diogo Proença,et al. Maturity Models for Information Systems - A State of the Art , 2016 .
[11] M. Spremić,et al. Mastering the Digital Transformation Process: Business Practices and Lessons Learned , 2019, Technology Innovation Management Review.
[12] Benny Tjahjono,et al. What does Industry 4.0 mean to Supply Chain , 2017 .
[13] Mohamed Abdel-Basset,et al. Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems , 2018, Future Gener. Comput. Syst..
[14] Bendik Bygstad,et al. Digital Transformation: Drivers, Success Factors, and Implications , 2018, MCIS.
[15] Roman Teichert,et al. Digital Transformation Maturity: A Systematic Review of Literature , 2019, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis.
[16] Abdelghani Bekrar,et al. Artificial intelligence for forecasting in supply chain management: a case study of White Sugar consumption rate in Thailand , 2019 .