The need to be economically successful is the key driver for companies to be
innovative and implement new technologies with increasing efficiency and
effectiveness. Uncertainty about whether to use new
technologies and missing knowledge about their advantages lead to staggering and
withholding from fast diffusion of innovations. Focusing
on the industry of logistics and the technology Mixed Reality, this research project
developed a methodical approach for evaluating the fitness of an innovative technology
and a specific process of application.
A mixed methods approach was derived, based on interviews and experiments. The
main methodologies used, were semi-structured interviews with decision makers in
logistics companies to elaborate triggering criteria in the investment process and
laboratory experiments for the evaluation of competing technologies. These methods
were framed by an initial field experiment and feedback interviews after the analysis for
the validation of the approach.
The research proved the competitively viable applicability of Mixed Reality and its
specific strengths and weaknesses in manual order picking. This set the foundation for
possible further development and implementation of the technology. The developed
methodological approach proved to be a valid and reliable assessment of the
intersection between a technology and specified process of application. This can greatly enhance the speed of implementing new innovations and gaining competitive
advantages for companies.
Date of Award | 2014 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Klaus-Juergen Meier (Other Supervisor) |
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- Logistics
- Order Picking
- Mixed Reality
- Augmented Reality
- Innovations Management
Developing a Methodical Approach for the Systematic Identification of Innovative Technological Applications – Based on Mixed Reality in Manual Order Picking
Ehmann, M. F. (Author). 2014
Student thesis: PhD