Прати
Manuel Brunner
Наслов
Навело
Навело
Година
The contribution of data-driven technologies in achieving the sustainable development goals
N Bachmann, S Tripathi, M Brunner, H Jodlbauer
Sustainability 14 (5), 2497, 2022
1342022
A Survey on Cross‐Virtuality Analytics
B Fröhler, C Anthes, F Pointecker, J Friedl, D Schwajda, A Riegler, ...
Computer graphics forum 41 (1), 465-494, 2022
742022
Ensuring the robustness and reliability of data-driven knowledge discovery models in production and manufacturing
S Tripathi, D Muhr, M Brunner, H Jodlbauer, M Dehmer, F Emmert-Streib
Frontiers in artificial intelligence 4, 576892, 2021
572021
Virtual reality enriched business model canvas building blocks for enhancing customer retention
M Brunner, J Wolfartsberger
Procedia Manufacturing 42, 154-157, 2020
462020
Cross-Virtuality Visualization, Interaction and Collaboration.
A Riegler, C Anthes, HC Jetter, C Heinzl, C Holzmann, H Jodlbauer, ...
XR@ ISS 11, 2, 2020
452020
Stability of cross impact matrices
H Jodlbauer, S Tripathi, M Brunner, N Bachmann
Technological Forecasting and Social Change 182, 121822, 2022
182022
Assessing the current landscape of AI and sustainability literature: Identifying key trends, addressing gaps and challenges
S Tripathi, N Bachmann, M Brunner, Z Rizk, H Jodlbauer
Journal of Big Data 11 (1), 65, 2024
172024
Reifegradmodell Industrie 4.0
M Brunner, H Jodlbauer, M Schagerl
URL: http://www. mechatronikcluster. at/fileadmin/user_upload/Cluster/MC …, 2016
172016
Supply chain management: a structured narrative review of current challenges and recommendations for action
H Jodlbauer, M Brunner, N Bachmann, S Tripathi, M Thürer
Logistics 7 (4), 70, 2023
162023
Investigation on the acceptance of an Industry 4.0 maturity model and improvement possibilities
A Kieroth, M Brunner, N Bachmann, H Jodlbauer, W Kurz
Procedia Computer Science 200, 428-437, 2022
102022
Industrie 4.0 versus Automatisierung
H Jodlbauer, M Schagerl, M Brunner
Zeitschrift für wirtschaftlichen Fabrikbetrieb 111 (4), 222-224, 2016
102016
Mind the gap: Requirement engineering for learning factories with maturity model support
M Brunner, H Jodlbauer
Procedia Manufacturing 45, 510-515, 2020
92020
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market
H Jodlbauer, S Tripathi, N Bachmann, M Brunner
Expert Systems with Applications 254, 124331, 2024
72024
Exploring time-based characteristics of the E-car market for effective market segmentation
S Tripathi, N Bachmann, M Brunner, H Jodlbauer
Procedia Computer Science 232, 64-76, 2024
42024
Market data exploitation: Exemplified by the battery electric vehicle market
H Jodlbauer, S Tripathi, N Bachmann, M Brunner, A Piereder
Procedia Computer Science 232, 1739-1747, 2024
42024
Reifegradmodell Industrie 4.0–Der Weg zur digitalen Transformation
M Schagerl, H Jodlbauer, M Brunner
Productivity Management 21 (4), 40-42, 2016
42016
Cross-Impact Analysis of Entrepreneurial Failure and Business Model Innovation: Navigating the Impact of Societal Perceptions
N Bachmann, S Tripathi, M Brunner, H Jodlbauer, A Piereder
Procedia Computer Science 232, 2639-2653, 2024
32024
Sustainability as a key value proposition-a literature review and potential pathways
M Brunner, N Bachmann, S Tripathi, S Pöchtrager, H Jodlbauer
Procedia Computer Science 232, 1-10, 2024
32024
Produktivitätssteigerung durch vorausschauende Instandhaltung und Datenvisualisierung
H Jodlbauer, J Wolfartsberger, J Zenisek, M Brunner
Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (4), 181-183, 2019
32019
Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers
S Tripathi, N Bachmann, M Brunner, H Jodlbauer
Applied Sciences 14 (8), 3454, 2024
22024
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Чланци 1–20