Alexander Zeisler
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Alexander Zeisler has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Julian Marius Müller
Friedrich-Alexander-Universität Erlangen-Nürnberg
1 shared publication - Karin Klieber
Oesterreichische Nationalbank Otto-Wagner-Platz 3 1090 Vienna Austria
1 shared publication - Markus Lassnig
Salzburg Research Forschungsgesellschaft mbH
1 shared publication - Maximilian Schirl
Salzburg University of Applied Sciences, Puch bei Hallein, Austria
1 shared publication
Latest Publications
- 26 November 2021
- Published by Emerald Publishing in Journal of Manufacturing Technology Management
- Vol. 33 (9) , 1-18
A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0
Purpose: While 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/approach: The 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.Findings: The 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/implications: The 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 implications: The 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/value: The DRC extends extant literature regarding the differentiation between SMEs and large enterprises as well as focussing on SC aspects of DT.
- 26 November 2021
- Published by Emerald Publishing in Journal of Manufacturing Technology Management
- Vol. 33 (9) , 1-18
A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0
Purpose: While 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/approach: The 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.Findings: The 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/implications: The 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 implications: The 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/value: The DRC extends extant literature regarding the differentiation between SMEs and large enterprises as well as focussing on SC aspects of DT.