XR Technology Deployment in Value Creation

Author:

Krodel Tim1,Schott Vera1,Ovtcharova Jivka2

Affiliation:

1. ILI.DIGITAL AG, Ludwig-Erhard-Allee 20, 76131 Karlsruhe, Germany

2. Karlsruhe Institute of Technology, Institute for Information Management in Engineering, Kriegsstrasse 77, 76133 Karlsruhe, Germany

Abstract

With increasing computing power and data transmission performance of information technologies, the application scenarios for Extended Reality (XR) technologies in industries are growing. Despite the ongoing scientific investigation of industrial XR applications for over 25 years, these technologies are still considered emerging. Within this paper, we present an industry- and business-process agnostic approach for classifying the deployment purposes of XR technologies in value creation. We identified two major research streams regarding the role of XR technologies in value creation: (1) the research initiatives focusing on business-process-specific use case analysis and (2) industry-oriented research reviews. This results in limited identification of suitable application scenarios for new use cases and restricted transferability of the existing use case to future deployments. First, we provide a qualitative analysis of the current research streams. Then, in the second step, by abstracting the XR technology from the existing business processes and the industry-specific context, the generic purposes for XR technologies in value creation are identified and defined. The summary of these deployment purposes results in a taxonomy that enables the identification and transfer of potential use cases of XR technologies in value creation.

Funder

KIT-Publication Fund of the Karlsruhe Institute of Technology

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Impact of XR-Enabled Collaboration in Businesses—An Economic, Ecological, and Social Perspective;AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises;2023-12-30

2. Digital Twin and Extended Reality in Industrial Contexts: A Bibliometric Review;Extended Reality;2023

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