Predictive analytics in management of enterprise logistics innovations

DOI

10.2991/icdtli-19.2019.54How to use a DOI?

Keywords

Logistics innovations, predictive analytics, program-targeted approach, big data, digitalization

Abstract

This research explores a modern approach for defining innovation. Reference has been taken, in particular from the latest publication of Oslo Manual, where innovation has been divided into two parts: product innovation and innovation of business processes. A combined option for the dissemination and exchange of information and data processing has been suggested. It proposes the building up of information flows drawn towards each other and their consolidation into a single information resource. Finally, an applicable program-targeted approach is suggested for management of logistics innovations in enterprises. The importance of predictive analytics within the framework of program-targeted approach for management of logistics innovations in enterprises has been shown. The reason is the change in use of information by the enterprises and emergence of a large amount of data which is to be processed for taking management decisions. Three aspects of invariance in application of predictive analytics have been defined, while managing logistics innovations in micro logistics systems: from the viewpoint of type of business; from the viewpoint of task setting and solution and from the viewpoint of the nature of logistics innovations. A conclusion has been made for the need of dividing all data into two types: internal and external, depending on their relation to the logistics system of any enterprise. The scheme has been drawn to exercise predictive analytics step by step in management of logistics innovations in enterprises with a program-targeted approach. The invariance in application of predictive analytics while managing logistics innovations in micro logistics systems has been proved and its necessity has been defined.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Darya Ivanova
PY  - 2019/09
DA  - 2019/09
TI  - Predictive analytics in management of enterprise logistics innovations
BT  - Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)
PB  - Atlantis Press
SP  - 306
EP  - 310
SN  - 2589-4900
UR  - https://doi.org/10.2991/icdtli-19.2019.54
DO  - 10.2991/icdtli-19.2019.54
ID  - Ivanova2019/09
ER  -