Tools to support managerial decision - building competencies in data driven decision making in manufacturing SMEs

被引:2
|
作者
Zilka, Miroslav [1 ]
Kalender, Zeynep Tugce [1 ,2 ]
Lhota, Jan [1 ]
Kalina, Vaclav [1 ]
Pinto, Rui [3 ]
机构
[1] Czech Tech Univ, Dept Enterprise Management & Econ, Fac Mech Engn, Karlovonanesti 13, Prague 12135, Czech Republic
[2] Marmara Univ, Fac Engn, Dept Ind Engn, Goztepe Campus, TR-34722 Kadikoy, Istanbul, Turkiye
[3] Univ Porto, SYSTEC ARISE, Fac Engn, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
关键词
data-driven decision making; managerial tools; production economics; education of SME workers; gamification;
D O I
10.1016/j.procs.2024.01.041
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The era of digitization is radically transforming the manufacturing sector. The advancement of sensors, communication networks, and internet-based systems enables the collection of vast amounts of data, acquired at a high speed that can be used to support managerial decision making. However, the full use of this technological potential often encounters barriers in missing resources and competences, especially in small and medium-sized enterprises that do not have sufficient funds for the acquisition of tailormade solutions and the systematic training of employees in Data-Driven Decision Making. We are trying to address this deficiency through a newly designed learning path that allows employees of SMEs to acquire competencies that will enable them to create their own low-cost tools to support managerial decision-making in their companies. In this article, we want to present both the structure and content of the newly designed learning path, but also the expected educational and evaluation strategy. (c) 2023 The Authors. Published by Elsevier B.V.
引用
收藏
页码:416 / 425
页数:10
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