The Impact of Digital Technology on the Effectiveness and Efficiency of Engineering Enterprises
Session
Civil Engineering, Infrastructure and Environment
Description
The purpose of this paper is to analyze and synthesize the impact of digital technology on engineering and management issues within businesses and organizations dealing with construction engineering. The research examined how the increase in digital technology implementation influenced engineering and management productivity within construction engineering business processes. The descriptive-analytical qualitative and correlational quantitative research methods are used to gather, select, and analyze secondary and primary data, and to test the research hypotheses. Data analyses are expected to provide with important information related to the increasing correlation between the scale of digital technology implementation and productivity change in construction projects.
Keywords:
Digitalization, Data Science, Artificial Intelligence, 3D Printing, Cloud Computing, IoT.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-50-5
Location
UBT Kampus, Lipjan
Start Date
29-10-2022 12:00 AM
End Date
30-10-2022 12:00 AM
DOI
10.33107/ubt-ic.2022.209
Recommended Citation
Limani, Ylber, "The Impact of Digital Technology on the Effectiveness and Efficiency of Engineering Enterprises" (2022). UBT International Conference. 213.
https://knowledgecenter.ubt-uni.net/conference/2022/all-events/213
The Impact of Digital Technology on the Effectiveness and Efficiency of Engineering Enterprises
UBT Kampus, Lipjan
The purpose of this paper is to analyze and synthesize the impact of digital technology on engineering and management issues within businesses and organizations dealing with construction engineering. The research examined how the increase in digital technology implementation influenced engineering and management productivity within construction engineering business processes. The descriptive-analytical qualitative and correlational quantitative research methods are used to gather, select, and analyze secondary and primary data, and to test the research hypotheses. Data analyses are expected to provide with important information related to the increasing correlation between the scale of digital technology implementation and productivity change in construction projects.