| Title: |
A ROADMAP TOWARDS IMPROVING PORTFOLIO OF LOGISTICS SERVICE PROVIDERS WITH THE AIM OF CREATING SUSTAINABLE SHORT FOOD SUPPLY CHAINS. |
| Authors: |
Maslarić, Marinko; Nikoličić, Svetlana; Mirčetić, Dejan; Veličković, Marko |
| Source: |
Proceedings of the International May Conference on Strategic Management; May2016, p121-129, 9p |
| Subject Terms: |
Supply chains; Third-party logistics; Logistics; Food supply; Population |
| Abstract: |
The growth of the world population, from 7 billion now to 9 billion in 2050 involves the many challenges. One of them is creating a sustainable, equitable and healthy food provisioning systems capable of feeding 9 billion people in 2050. However, in the most country, the largest part of food sales is done by just several large food supply chain companies. The consequences of this are food waste, unfair distribution of profits between retail chains and producers, consumers often get to pay much higher than necessary prices, etc. Hence, some mechanism for building reengineered food systems is needed. The solution is found in short food supply chains (SFSCs) which could be able to eliminate negative consequences of the conventional food system. The SFSCs represents the link between those people who want to produce and those who want to consume the (local) product. The key question is how do we get those people to know each other in order to get their food in the right place at the right time at the right quantity and price? The main paper idea is to propose appropriate roadmap towards developing logistics approaches and services which fostershortening the food supply chains to the ultimate level-creating the direct links. This logistics service will be based on digitalization of traditional small-scale farmer's market through developing web and android based application. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of Proceedings of the International May Conference on Strategic Management is the property of University of Belgrade, Technical Faculty in Bor and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |