Business Model Research on Industrial Augmented Reality: A Systematic Literature Review on the Current State and Future Research Areas

Stefan Ohlig, David Breitkreuz, Rakesh Mishra, Dirk Stegelmeyer

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


This systematic literature review aims to present the current state of business model research on industrial augmented reality (IAR) and suggest future research areas. Our analysis of 60 previous literature reviews on IAR shows that the business model perspective is missing from these reviews. To address this gap, we conducted a systematic literature review using eight scientific databases in late 2022. Although we aimed for a comprehensive literature search, a total of only 48 augmented reality (AR)-related business model publications were found, of which only six focused on IAR. To present the current state of research, these six publications were analyzed in terms of research purpose and results, the IAR application(s) studied, and the research methodology used. Based on this analysis, we propose future research areas, considering the suggestions for future research and the problems and challenges mentioned in the analyzed publications.

Original languageEnglish
Title of host publicationIndustrial Engineering and Applications
Subtitle of host publicationProceedings of the 10th International Conference on Industrial Engineering and Applications, ICIEA 2023
EditorsLoon-Ching Tang
PublisherIOS Press BV
Number of pages11
ISBN (Electronic)9781643684093
ISBN (Print)9781643684086
Publication statusPublished - 27 Jul 2023
Event10th International Conference on Industrial Engineering and Applications - Phuket, Thailand
Duration: 4 Apr 20236 Apr 2023
Conference number: 10

Publication series

NameAdvances in Transdisciplinary Engineering
PublisherIOS Press
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528


Conference10th International Conference on Industrial Engineering and Applications
Abbreviated titleICIEA 2023

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