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Digitalization Changing Work: Employees' View on the Benefits and Hindrances

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationInformation Technology and Systems - Proceedings of ICITS 2019
EditorsManolo Paredes, Carlos Ferrás, Álvaro Rocha
PublisherSpringer Verlag
Pages165-176
Number of pages12
ISBN (Print)9783030118891
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventICITS: International Conference on Information Technology & Systems - Quito, Ecuador, Quito, Ecuador
Duration: 6 Feb 20198 Feb 2019
http://icits.me/index.php?lang=en

Publication series

NameAdvances in Intelligent Systems and Computing
Volume918
ISSN (Print)2194-5357

Conference

ConferenceICITS: International Conference on Information Technology & Systems
Abbreviated titleICITS
CountryEcuador
CityQuito
Period6/02/198/02/19
Internet address

Abstract

The Digitalization of work may enable better use of knowledge, which is expected to result in enhanced productivity and efficiency. Different organizations adopt digital ways of working, products, services and processes in different ways and paces. The extent and pace of capitalizing digitalization’s potential in organizations has much to do with human attitude, ability to learn and the possibilities provided to use it in work. When looking digitalization from the employee viewpoint, it seems that the great expectations are not easily fulfilled. In fact, the effects of digitalization may be negative. This paper discusses the expectations and fears employees have towards digitalization changing their work. The issue is approached by using a qualitative data gathered along a survey. The aim was to find out if they see the effects digitalization has on their work as positive, negative, or something else, and which areas are highlighted.

Keywords

  • Benefits, Digitalization, Digitalization of work, Employees, Hindrances

Publication forum classification

Field of science, Statistics Finland