Ruth Jiang
RWTH Aachen University
7 Papers
15 Citations
Ruth Jiang is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: New product development & Mass customization. The author has an hindex of 5, co-authored 7 publications.
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Papers
Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030
TL;DR: In this paper, the authors present the results of an extensive Delphi survey on the future of additive manufacturing with a focus on its economic and societal implications in 2030, and derive implications for industry, policy, and future research.
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Are modular and customizable smartphones the future, or doomed to fail? A case study on the introduction of sustainable consumer electronics
TL;DR: In this article, a qualitative case study approach based on expert interviews at two different stages of the Project Ara development process (2015 and 2017) was used to shed light on the future of modular and customizable smartphones and their economic, social and ecologic sustainability potential.
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On the future of ramp-up management
Robert Schmitt,Ina Heine,Ruth Jiang,Felix Giedziella,Felix Basse,Hanno Voet,Stephen C.-Y. Lu +6 more
TL;DR: Applying a mixed-method design based on a quantitative pre-study with 67 researchers and qualitative interviews with seven practitioners showed a consensus on the continuing importance of human factors for future ramp-up management.
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From Phonebloks to Google Project Ara. A Case Study of the Application of Sustainable Mass Customization
TL;DR: In this paper, a qualitative case study of Google's "Project Ara" is presented to evaluate its potential economic success and its potential to lead to changes in terms of ecologic and social concerns.
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On the Importance of Mediating Dynamic Capabilities for Ambidextrous Organizations
Ruth Jiang,Sebastian Kortmann +1 more
TL;DR: In this article, the influence of entrepreneurial orientation on customer process integration using structural equation modeling is examined, and it is shown that ambidexterity reaps innovation benefits in manufacturing.
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