Sustainable Development Economics of Enterprises in the Services Sector Based on Effective Management of Value Streams
Jarmila Straková,
Antonín Korauš,
Jan Váchal,
František Pollák,
Filip Černák,
Milan Talíř and
Jaroslav Kollmann
Additional contact information
Jarmila Straková: Department of Management, Faculty of Corporate Strategy, Institute of Technology and Business in České Budějovice, Okružní 517/10, 37001 České Budějovice, Czech Republic
Antonín Korauš: Department of Information Science and Management, Academy of the Police Force in Bratislava, Sklabinská 1, 83517 Bratislava, Slovakia
Jan Váchal: Department of Management, Faculty of Corporate Strategy, Institute of Technology and Business in České Budějovice, Okružní 517/10, 37001 České Budějovice, Czech Republic
František Pollák: Department of Management, Faculty of Corporate Strategy, Institute of Technology and Business in České Budějovice, Okružní 517/10, 37001 České Budějovice, Czech Republic
Filip Černák: Faculty of Management, University of Prešov in Prešov, Konštantínova 16, 08001 Prešov, Slovakia
Milan Talíř: Department of Management, Faculty of Corporate Strategy, Institute of Technology and Business in České Budějovice, Okružní 517/10, 37001 České Budějovice, Czech Republic
Jaroslav Kollmann: Department of Management, Faculty of Corporate Strategy, Institute of Technology and Business in České Budějovice, Okružní 517/10, 37001 České Budějovice, Czech Republic
Sustainability, 2021, vol. 13, issue 16, 1-15
Abstract:
The world’s economy has been significantly affected by the ongoing pandemic crisis. Its logical reflection is a deteriorating condition of national and regional economies and their vehicles—enterprises. Negative effects of the crisis have influenced both the manufacturing sector and the services sector, where some segments have been hit fatally. In the corporate sphere in general, including in the services sector, there has been a growing need to change the approach to corporate strategy. The strategy should be generated based on management of value-creating processes with the objective to maximize satisfaction of customers while minimizing costs. This is also the topic of this paper. A representative sample of small and medium enterprises from the services sector have been surveyed about their size, using mathematical statistics and models that have been proposed to maximize profit probability. The objective was to propose models that maximize probability of profit and, at the same time, minimize costs for each combination of value chain activities (input logistics, provision of services, output logistics, marketing and sale, servicing, and other accompanying activities, purchasing material management, science-technical development, human resources management and company infrastructure). The main outcome of this paper is the fact that we have been able to prove the functionality of the tested model, which has demonstrated the growing importance of value stream management in relation to the size of enterprises. Such a universal and structured model provides a practical tool for the definition of economic-financial, investment and personnel policies in enterprises.
Keywords: value-creating processes; value for customer; added value; value stream models; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/2071-1050/13/16/8978/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/16/8978/ (text/html)
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:gam:jsusta:v:13:y:2021:i:16:p:8978-:d:612289
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().