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Thesis topic proposal
 
Optimisation of business support processes in the supply chain using process management tools in the SME sector

THESIS TOPIC PROPOSAL

Institute: John Von Neumann University
business and management
John von Neumann University Doctoral School of Management and Business Administration

Thesis supervisor: Tímea Kozma
Location of studies (in Hungarian): NJU- Budapest
Abbreviation of location of studies: NJE


Description of the research topic:

The research topic focuses on the accelerated increase of small and medium-sized enterprises resulting from the economic recovery and the challenges which are derived from this situation. The role of the SME sector has increased as it has become integrated into supply chains, and its competitiveness and performance are more demanding than in previous periods. The quality of the SME sector has become not only a business interest, affecting the performance of the supply chain, but also a demand for improvement and reliability for the other actors in the supply chain. The delivery of products to consumers is a key factor of competitiveness, and SMEs can only meet these expectations through continuous improvement. The areas of business support processes provide the backbone for the success of the core business, but are not controlled by process management tools in the SME sector.
The research topic aims to highlight the shortcomings of the support processes in the SME sector in the first place, and of the logistics area in the second place, by highlighting the key factors and processes that require cost or resource overruns in day-to-day operations. Bottleneck processes compromise the quality of the supply chain and affect consumer expectations, so SMEs have the choice to evolve and catch up or to exit the supply chain.
The aim of the research is therefore to explore the results of the post-regulation of administrative area processes, highlighting bottlenecks, weaknesses and possible solutions. Once the processes have been optimised, the business model is inserted into the supply chain and its impact on performance is demonstrated.


Deadline for application: 2024-05-31

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )