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

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Information Technology and Systems (ICITS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 918))

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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.

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Authors and Affiliations

  1. Tampere University, 33014, Tampere, Finland

    Jussi Okkonen, Vilma Vuori & Miikka Palvalin

Authors
  1. Jussi Okkonen
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  2. Vilma Vuori
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  3. Miikka Palvalin
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Corresponding author

Correspondence to Jussi Okkonen .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografía, Universidad de Santiago de Compostela, Santiago Compostela, La Coruña, Spain

    Carlos Ferrás

  3. Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas “ESPE”, Sangolqui, Ecuador

    Manolo Paredes

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Okkonen, J., Vuori, V., Palvalin, M. (2019). Digitalization Changing Work: Employees’ View on the Benefits and Hindrances. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_17

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