A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0

Author:

Lassnig MarkusORCID,Müller Julian MariusORCID,Klieber KarinORCID,Zeisler AlexanderORCID,Schirl MaxORCID

Abstract

PurposeWhile there are several readiness assessments regarding digital transformation (DT) and Industry 4.0 in extant literature, this study aims to contribute to (a) a better understanding of digital readiness in supply chain (SC) aspects and (b) elaborate on differences between small and medium-sized enterprises (SMEs) and large enterprises.Design/methodology/approachThe study is based on 409 companies that participated in the Digital Readiness Check (DRC) in the region of Salzburg (Austria) and Bavaria (Germany) – an online assessment for self-evaluating the digital readiness of companies.FindingsThe study's results provide insights for the categories of strategy, employees, initiation of business transactions and SC. These are further differentiated for SMEs and large enterprises.Research limitations/implicationsThe study is limited to two regions in Austria and Germany, based on a self-evaluation of companies in a single point of time perspective. For future research, the results of this study should be expanded for different regions. Further, the results could be validated regarding external observations and measuring results at a later point of time.Practical implicationsThe DRC may help companies in benchmarking themselves and gaining a better understanding about categories that must be improved, especially regarding SC aspects of DT.Originality/valueThe DRC extends extant literature regarding the differentiation between SMEs and large enterprises as well as focussing on SC aspects of DT.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software

Reference43 articles.

1. SMEs and Industry 4.0: two case studies of digitalization for a smoother integration;Computers in Industry,2021

2. APICS (2017), “Supply chain operations reference model, version 12.0”, available at: https://apics.org/scor (accessed 4 June 2020).

3. Potentials of industry 4.0 for supply chain management within the triple bottom line of sustainability – a systematic literature review;Journal of Cleaner Production,2021

4. Cross-disciplinary innovations by Taiwanese manufacturing SMEs in the context of Industry 4.0;Journal of Manufacturing Technology Management,2020

5. Defining SMEs' 4.0 readiness indicators;Applied Sciences,2020

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