2016
The size of firms and IS/ICT employment in reverse supply chain management
KLAPALOVÁ, AlenaZákladní údaje
Originální název
The size of firms and IS/ICT employment in reverse supply chain management
Autoři
KLAPALOVÁ, Alena (203 Česká republika, garant, domácí)
Vydání
Reading, UK, Proceedings of The 10th European Conference on Information Systems Management (ECISM 2016), od s. 92 - 99, 8 s. 2016
Nakladatel
Academic Conferences and Publishing International Limited
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
50204 Business and management
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Kód RIV
RIV/00216224:14560/16:00088141
Organizační jednotka
Ekonomicko-správní fakulta
ISBN
978-1-911218-06-7
UT WoS
000400275000012
Klíčová slova anglicky
IS/ICT employment; reverse supply chain management; barriers; size of firms
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 17. 4. 2019 11:39, Mgr. Daniela Marcollová
Anotace
V originále
In contrast to the forward supply chain management literature the evidence of the utilization of IS/ICT in reverse supply chain management is very sparse. One of the reasons can be the different size of firms. This paper presents the comparison of IS/ICT employment in management of reverse supply chains among the small, middle and large firms. The aim of the comparison is to contribute to the existing knowledge of different patterns of behaviour of firms grounded in their different size in connection with the IS/ICT utilization with the focus on the relatively specific area of management. Results of the empirical survey can serve as the starting point for further investigation as well as for the practitioners from IS/ICT business and their customers and managers of reverse supply chains - to develop the adapted or new applications of IS/ICT for these types of flows and the different size of firms as well as of volumes and types of flows and character of processes. Calculations of frequencies, relative frequencies, Means and chi-square tests as well as post hoc Anova were used for the statistical analysis of data.
Návaznosti
GA16-16260S, projekt VaV |
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