Balanced Scorecard for the Digital Transformation of Global Container Shipping Lines
Svetlana Maydanova, Igor Ilin, Carlos Jahn, Ann-Kathrin Lange, Vadim Korablev
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- https://doi.org/10.2991/icdtli-19.2019.72How to use a DOI?
- container shipping, Balanced Scorecard, digital transformation, value-based management
- The liner container shipping industry is at a maturity stage. and companies undertake strategic changes to resolve key problems by using for example the digital transformation. The digital transformation is the process of digital technologies integration into all company business activities, requiring fundamental changes by introducing new technologies, cultures, operations and the new products and services creation principles. For digital transformation success established companies need to undertake consecutive actions starting from the strategic vision and followed by fundamental realization mechanisms. There is a strong requirement of the new architectural concepts creation, allowing the companies to get a competitive advantage and to provide strategic alignment of business and IT architecture for further successful development. In this research paper architectural approach concepts to the global container shipping line information systems are formulated, the Enterprise Strategic Alignment Method, allowing the company effective development during the global changes of forms and methods of business is adapted and the Balanced Scorecard for digital transformation control is developed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Svetlana Maydanova AU - Igor Ilin AU - Carlos Jahn AU - Ann-Kathrin Lange AU - Vadim Korablev PY - NaN/NaN DA - NaN/NaN TI - Balanced Scorecard for the Digital Transformation of Global Container Shipping Lines BT - International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019) PB - Atlantis Press UR - https://doi.org/10.2991/icdtli-19.2019.72 DO - https://doi.org/10.2991/icdtli-19.2019.72 ID - MaydanovaNaN/NaN ER -