University of Twente Student Theses


Towards an Extended Science-Based Multi-Dimensional Scan for assessing Smart Industry Maturity

Ungerer, L.V. (2019) Towards an Extended Science-Based Multi-Dimensional Scan for assessing Smart Industry Maturity.

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Abstract:Industry 4.0 or in other words smart industry is becoming increasingly important for organisations. Specifically manufacturing firms are naming industry 4.0 as a top investment priority and are actively investing in the implementation of it in order to stay competitive. Therefore, these manufacturing firms could substantially benefit from a comprehensive overview on the maturity of industry 4.0 implementation. In this research an extended science-based multi-dimensional scan for assessing industry 4.0 maturity is created, here and after known as the “extended scan”. This scan measures industry 4.0 maturity on different business aspects throughout the firm. A design research is chosen consisting of steps that were taken to draft and evaluate the extended scan. It started with an extensive literature review towards industry 4.0 maturity and its influence on different business aspects. This was followed up by an exploration of existing industry 4.0 scans including the “multi dimensional smart industry scan” that was created during my bachelor thesis. The combination of these was the foundation of the pre-designed extended scan, which was evaluated by 21 different specialists who provided constructive feedback to further improve the pre-designed scan. The final design consists of fifteen business aspects, 86 measurement questions, five maturity levels and three maturity types.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
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