The Operating Obstacles and the Strategy Followed by Greek Innovative Firms in the Supply Chain Sector

Nikos Kanellos ()
Additional contact information
Nikos Kanellos: Agricultural University of Athens

A chapter in Computational and Strategic Business Modelling, 2024, pp 351-362 from Springer

Abstract: Abstract In recent times, innovative firms in the supply chain sector have faced various obstacles in their course to sustainability. Through this context, many of these companies have planned efficient strategies to overcome various obstacles. These obstacles mainly refer to the operational level of firms and are analyzed in this chapter. The focus of this chapter has been the elaboration of the most common operational obstacles in the supply chain sector, as well as the dynamic capabilities of the firms, in order to propose opportunities and strategies to these firms for exploitation. To do this, the factor analysis was utilized. Through this research, it has been found that there are two main obstacles for supply chain firms, technological and economical problems, with the first barrier affecting more companies with highly skilled staff, while the second barrier affecting more companies that are looking for alternative ways to cope with their daily problems.

Keywords: Innovation; Supply chain; Strategy; Factor analysis (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-41371-1_29

Ordering information: This item can be ordered from
http://www.springer.com/9783031413711

DOI: 10.1007/978-3-031-41371-1_29

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().