Towards a taxonomy of design options for augmented reality-based remote service business models
Ohlig Stefan (),
Breitkreuz David (),
Aliyu Aliyu (),
Mishra Rakesh () and
Stegelmeyer Dirk ()
Additional contact information
Ohlig Stefan: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, United Kingdom Institut für Interdisziplinäre Technik, Frankfurt University of Applied Sciences, Nibelungenplatz 1, 60318 Frankfurt am Main, Germany
Breitkreuz David: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, United Kingdom Institut für Interdisziplinäre Technik, Frankfurt University of Applied Sciences, Nibelungenplatz 1, 60318 Frankfurt am Main, Germany
Aliyu Aliyu: School of Engineering, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom
Mishra Rakesh: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, United Kingdom
Stegelmeyer Dirk: Institut für Interdisziplinäre Technik, Frankfurt University of Applied Sciences, Nibelungenplatz 1, 60318 Frankfurt am Main, Germany
Engineering Management in Production and Services, 2024, vol. 16, issue 2, 128-147
Abstract:
The aim of this paper is to develop design options for Augmented Reality (AR)-based remote service business models to support the implementation of AR technology for remote services currently taking place in the manufacturing industry. The design options were developed using a qualitative content analysis based on the results of a systematic literature review and on focus group discussions with 19 service-responsible industry experts from 12 German manufacturing companies. The application of a conceptual approach to taxonomy development resulted in a novel morphological framework with a total of 18 dimensions, each with two to six distinct characteristics representing the targeted design options of AR-based remote service business models. Since previous research on AR for remote services has largely neglected the business model perspective, this work makes a significant contribution to this scarcely explored research field by providing a systematic basis for describing and classifying such business models in terms of their design. The results provide industrial practice with the most important aspects to consider when designing AR-based remote service business models.
Keywords: augmented reality; remote service; business model; taxonomy (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/emj-2024-0018 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:ecoman:v:16:y:2024:i:2:p:128-147:n:1009
DOI: 10.2478/emj-2024-0018
Access Statistics for this article
Engineering Management in Production and Services is currently edited by Joanna Ejdys
More articles in Engineering Management in Production and Services from Sciendo
Bibliographic data for series maintained by Peter Golla ().