Learning from employee perceptions of human-work and work-organization in digitized production-drilling activity in mines

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

2 Citations (Scopus)

Abstract

This paper discusses workers’ perception of human-work and work-organization in a digitized production-drilling activity in mines and its associated learning that could lead to the creation of harmony between the technical and the social system in the design of the mining-work environment. Underlined by the systemic structural activity theory, data was collected in a digitized mine through interviews and observations of workers engaged in production drilling activities. Using the systemic analytic approach, the workers’ perceptions of their digitized-world of work were analyzed functional. It was found that the workers perceive the mutuality of the exchanges, interactions, and understanding with the human-work and work organization design as lacking quality inputs from them, but which knowledge remains tacit and are not shared. It is concluded that by understanding workers’ perception of the human-work and work-organization designs of their autonomized work environment, an optimized work-system, entailing sociotechnical systemic characteristics can be formulated.

Original languageEnglish
Title of host publicationAdvances in Human Factors and Systems Interaction - Proceedings of the AHFE 2019 International Conference on Human Factors and Systems Interaction
EditorsIsabel L. Nunes
PublisherSpringer Verlag
Pages432-441
Number of pages10
ISBN (Print)9783030200398
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventAHFE International Conference on Human Factors and Systems Interaction, 2019 - Washington D.C.
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume959
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Human Factors and Systems Interaction, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period24/07/1928/07/19

Keywords

  • Autonomized work environment
  • Autonomized work-system
  • Deep mine
  • Digitized production drilling
  • Employee perception
  • Human work
  • Work organization

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