Fail no more in industrial automation investment! A novel technology success indicator model

Janne Leinonen, Jurgen Poesche, Ilkka Kauranen

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

1 Citation (Scopus)

Abstract

The research question of this study is how company management can make better decisions when deciding on industrial automation investments. The objective of the study is to create a general, global and structured technology success indicator model for companies that evaluate investments in industrial automation. The model takes a comprehensive approach by analysing the company, the technology, and the social environment in question. The model entails a technology readiness index and combinations of success factors that decision makers can utilize. The emphasis is on discrete manufacturing operations. Only the very newest technologies are analysed, with the anticipation that the results will be applicable into the 2020s.

This study describes the needs for a novel technology success indicator model. The current rapidly changing production environment is analysed from the technological perspective in order to build a conceptual foundation for the technology success indicator model. The technology success indicator model is developed and hypotheses to be tested in the empirical stage of the research project are presented.
Original languageEnglish
Title of host publicationTowards Sustainable Technologies and Innovation
Subtitle of host publication27th Annual Conference of the International Association for Management of Technology
EditorsBreno Nunes, Ali Emrouznejad, David Bennett, Leon Pretorius
Pages1-13
ISBN (Electronic)978-1-85449-453-5
Publication statusPublished - 25 Apr 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Management of Technology - Birmingham, United Kingdom
Duration: 22 Apr 201826 Apr 2018
Conference number: 27

Conference

ConferenceInternational Conference on Management of Technology
Abbreviated titleIAMOT
CountryUnited Kingdom
CityBirmingham
Period22/04/201826/04/2018

Keywords

  • Technology success indicator mode
  • technology investment
  • success factor
  • robotics
  • 5G wireless technology
  • discrete manufacturing

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