Prof. Jürg Meierhofer, Dr. sc. ETH, executive MBA iimt

Prof. Jürg Meierhofer, Dr. sc. ETH, executive MBA iimt

ZHAW School of Engineering
IDS Institut für Data Science
Technikumstrasse 81
8400 Winterthur

+41 58 934 40 52
juerg.meierhofer@zhaw.ch

Arbeit an der ZHAW

Tätigkeit

Leiter Forschungsschwerpunkt Smart Services and Operations

Arbeits- und Forschungsschwerpunkte

Lehrtätigkeit

Studienleiter Smart Service Engineering (CAS)
Studienleiter Industrie 4.0 (MAS)
Service Operations and Management (TSM_OpMgmt)
Smart services (CM_SmartSer)
Master in Circular Economy Management
Service Engineering Basics (im Bachelor Wirtschaftsingenieurwesen)
Service Engineering Labor (im Bachelor Wirtschaftsingenieurwesen)

Lehrtätigkeit in der Weiterbildung

Berufserfahrung

head of department "Innovation Projects", senior management consultant
Die Mobiliar
12 / 2012 - 08 / 2016
head of department, head of service champion program, lean management
Swisscom
05 / 2005 - 11 / 2012
Research Fellow
ZHW
03 / 2003 - 04 / 2005
Projektleiter Mobilkommunikation
Bluewin AG
08 / 2001 - 02 / 2003
Projektleiter Mobile Services
Swisscom Mobile AG
03 / 2000 - 07 / 2001
Forschungsassistent
ETH Zürich
10 / 1994 - 02 / 2000

Aus- und Weiterbildung

Ausbildung

Executive MBA / ICT Management
Université de Fribourg, international institute of management in technology (iimt)
02 / 2002 - 12 / 2005
Dr. sc. techn. ETH / Elektrotechnik, Telekommunikation
ETH Zürich
08 / 1997 - 07 / 2000
Dipl. NDS ETH / information technology
ETH Zürich
10 / 1994 - 06 / 1998
Dipl. El.-Ing. ETH / Elektrotechnik
ETH Zürich
10 / 1989 - 05 / 1994

Weiterbildung

Hochschuldidaktische Qualifikation
ZHAW Zürcher Hochschule für Angewandte Wissenschaften
06 / 2019

Netzwerk

Mitglied in Netzwerken

ORCID digital identifier

ORCID ID: 0000-0003-1645-5686

Auszeichnungen

Best Paper Award
Spring Servitization Konferenz 2024
05 / 2024
Best Paper Award
Swiss Conference on Data Science
06 / 2022
Best Paper Award Category Service Science
Naples Forum on Service
09 / 2021

Social Media

Medienpräsenz

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Meierhofer, J. et al. (2025) 'Optimising data driven value creation in industrial services incorporating circularity', International Journal of Mechatronics and Manufacturing Systems, 17(4), pp. 449–469. doi: 10.1504/ijmms.2024.144291.
Meierhofer, J. and Heitz, C. (2023) 'On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources', Journal of Creating Value, 9(2), pp. 245–258. doi: 10.1177/23949643231199002.
Baldenweg-Bölle, U., Meierhofer, J. and Mertes, A. (2022) 'Co-creating service value from data in a public administration context', Swiss Yearbook of Administrative Sciences, 13(1), pp. 35–50. doi: 10.5334/ssas.163.
Meierhofer, J. et al. (2021) 'Digital twin-enabled decision support services in industrial ecosystems', Applied Sciences, 11(23), p. 11418. doi: 10.3390/app112311418.
West, S. et al. (2021) 'Digital twin providing new opportunities for value co-creation through supporting decision-making', Applied Sciences, 11(9), p. 3750. doi: 10.3390/app11093750.

Bücher, peer-reviewed

Meierhofer, J. (2025) Data Sharing für KMU : Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten. 1. Auflage. Edited by P. Kugler et al. Heidelberg: Springer. doi: 10.1007/978-3-662-71209-2.

Buchbeiträge, peer-reviewed

Meierhofer, J. and Benedech, R. (2025) 'Den Wert von Daten bestimmen', in Kugler, P. et al. (eds) Data Sharing für KMU : Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten. Berlin: Springer, pp. 51–56. doi: 10.1007/978-3-662-71209-2_4.
Wulf, J. and Meierhofer, J. (2025) 'Large Language Models und Datenökosysteme zur Automatisierung des technischen Kundendienstes', in Kugler, P. et al. (eds) Data Sharing für KMU : Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten. Berlin: Springer, pp. 189–203. doi: 10.1007/978-3-662-71209-2_11.
Marquart, P. et al. (2025) 'Fallstudie Grüninger Mühlen', in Kugler, P. et al. (eds) Data Sharing für KMU. Berlin: Springer, pp. 255–270. doi: 10.1007/978-3-662-71209-2_16.
Kugler, P., Vogt, H. and Meierhofer, J. (2025) 'Fallstudie Swiss WashTech : Daten im Ökosystem teilen, Innovationen ermöglichen und kulturellen Wandel anstoßen', in Kugler, P. et al. (eds) Data Sharing für KMU : Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten. Berlin: Springer, pp. 271–283. doi: 10.1007/978-3-662-71209-2_17.
Höppli, R. et al. (2025) 'Fallstudie Cleanfix : vernetzte Reinigungsroboter für Qualität und Effizienz', in Kugler, P. et al. (eds) Data Sharing für KMU. Berlin: Springer, pp. 229–240. doi: 10.1007/978-3-662-71209-2_14.
Kugler, P. et al. (2024) 'Daten im B2B-Ökosystem teilen und nutzen : wie KMU Voraussetzungen schaffen und Hürden überwinden', in Digitale Plattformen und Ökosysteme im B2B-Bereich. Wiesbaden: Springer, pp. 209–240. doi: 10.1007/978-3-658-43130-3_8.
Meierhofer, J., Lindegger, R. and Brunner, R. (2022) 'Nutzen für BürgerInnen und Verwaltung durch einen Smart Service-orientierten Gestaltungsansatz', in Pleger, L. E. and Mertes, A. (eds) Digitale Transformation der öffentlichen Verwaltung in der Schweiz : Stand, Entwicklungslinien und Praxisbeispiele. Wiesbaden: Springer, pp. 219–241. doi: 10.1007/978-3-658-36591-2_10.
Meierhofer, J., Stadelmann, T. and Cieliebak, M. (2019) 'Data products', in Braschler, M., Stadelmann, T., and Stockinger, K. (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 47–61. doi: 10.1007/978-3-030-11821-1_4.
Hollenstein, L. et al. (2019) 'Unsupervised learning and simulation for complexity management in business operations', in Braschler, M., Stadelmann, T., and Stockinger, K. (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 313–331. doi: 10.1007/978-3-030-11821-1_17.

Schriftliche Konferenzbeiträge, peer-reviewed

Lussignoli, L. et al. (2026) 'Mapping the maturity of servitization and PSS research : evidence from an international scientific panel', in Pezzotta, G. et al. (eds) Advances in production management systems : shaping the future of industry through sustainable, data-driven, and human-centric production systems. Cham: Springer, pp. 616–630. doi: 10.1007/978-3-032-38594-9_41.
Wulf, J., Meierhofer, J. and Dömer, M. (2026) 'Designing cost-optimal human-AI workflows for retrieval-augmented generation : analytical framework and industrial case study', in 2026 IEEE Swiss Conference on Data Science and AI (SDS). IEEE, pp. 37–44. doi: 10.1109/sds70563.2026.00013.
Wulf, J., Meierhofer, J. and Pascher, N. (2026) 'Guided operations and maintenance with retrieval-augmented generation : system design and evaluation at a machine manufacturer', in Procedia CIRP. Elsevier, pp. 349–354. doi: 10.1016/j.procir.2025.09.030.
Stieger, R. et al. (2025) 'Social value creation by smart services', in The 9th Naples Forum on Service, Sorrento, Italy, 9-12 June 2025. Winterthur: ZHAW Zurich University of Applied Sciences. doi: 10.21256/zhaw-34803.
West, S. et al. (eds) (2025) Smart Services Summit: proceedings of the sixth conference, held in Zurich, Switzerland in October 2024, 6th Smart Services Summit, Zurich, Switzerland, 24 October 2025. Cham: Springer. doi: 10.1007/978-3-031-86958-7.
Wulf, J. et al. (2025) 'On the value potential of large language models in the manufacturing industry', in West, S. et al. (eds) Smart Services Summit : Proceedings of the Sixth Conference, held in Zurich, Switzerland in October 2024. Cham: Springer. doi: 10.1007/978-3-031-86958-7_10.
Stieger, R., Meierhofer, J. and Schäfer, A. (2025) 'The social value of data-driven industrial services : exploring triple bottom line impacts through smart solutions', in QUIS19 Proceedings. Roma Tre University, pp. 481–484. doi: 10.21256/zhaw-34816.
Beppi, C., Meierhofer, J. and Wulf, J. (2025) 'Enhancing social and emotional value through smart services', in Spring Servitization Conference, Liverpool, United Kingdom, 12-14 May 2025.
Strittmatter, M. et al. (2025) 'From regulation to realization : navigating the EU Data Act's opportunities and challenges', in Smart Services Summit : smart services for a sustainable and resilient future. Cham: Springer. doi: 10.21256/zhaw-35913.
Wulf, J. and Meierhofer, J. (2025) 'The impact of large language models on task automation in manufacturing services', in Procedia CIRP. Elsevier, pp. 1089–1094. doi: 10.1016/j.procir.2025.03.071.
Strittmatter, M. et al. (2025) 'The EU Data Act : opportunities and research perspectives for data-driven companies', in West, S. et al. (eds) Smart Services Summit : Proceedings of the Sixth Conference, held in Zurich, Switzerland in October 2024. Cham: Springer, pp. 21–33. doi: 10.1007/978-3-031-86958-7_2.
Wulf, J. and Meierhofer, J. (2025) 'Mitigating risks in large language model applications for manufacturing', in 10. F&E-Konferenz, Rotkreuz, Schweiz, 30. Januar 2025. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-33327.
West, S., Meierhofer, J. and Buecheler, T. (eds) (2024) Smart Services Summit, 5th Smart Services Summit, Zurich, Switzerland, 27 October 2023. Cham: Springer. doi: 10.1007/978-3-031-60313-6.
Meierhofer, J., Pascher, N. and Wulf, J. (2024) 'The value of solving pains', in West, S. et al. (eds) Smart Services Summit : Proceedings of the Sixth Conference, held in Zurich, Switzerland in October 2024. Cham: Springer, pp. 37–48. doi: 10.1007/978-3-031-86958-7_3.
Stucki, M. et al. (2024) 'Data driven value creation in industrial services including remanufacturing', in Procedia Computer Science. Elsevier, pp. 2240–2248. doi: 10.1016/j.procs.2024.02.043.
Wulf, J. and Meierhofer, J. (2024) 'Towards a taxonomy of Large Language Model based business model transformations', in West, S., Meierhofer, J., and Buecheler, T. (eds) Smart Services Summit : Building Resilience in a Changing World. Cham: Springer, pp. 119–131. doi: 10.1007/978-3-031-60313-6_9.
Weisskopf, S. A., Meierhofer, J. and Sordini, F. V. (2024) 'Quantitative models for sustainable smart services in the building industry', in West, S., Meierhofer, J., and Buecheler, T. (eds) Smart Services Summit : building resilience in a changing world. Cham: Springer, pp. 29–41. doi: 10.1007/978-3-031-60313-6_3.
Wulf, J. and Meierhofer, J. (2024) 'Exploring the potential of large language models for automation in technical customer service', in Bigdeli, A. Z., Baines, T., and Akkermans, H. (eds) Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference. The Advanced Services Group, pp. 146–157. doi: 10.21256/zhaw-30660.
Benedech, R. et al. (2024) 'Unveiling the synergy : economic and environmental value of building management systems in the era of digital service innovation', in Bigdeli, A. Z., Baines, T., and Akkermans, H. (eds) Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference. The Advanced Services Group, pp. 181–192. doi: 10.21256/zhaw-30883.
Wulf, J. and Meierhofer, J. (2024) 'Automation of technical customer support with large language models', in 9. F&E Konferenz zu Industrie 4.0, Zürich, Schweiz, 24. Januar 2024. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-33328.
Meierhofer, J. and Stucki, M. (2023) 'Sustainable value optimization by smart services along the customer lifecycle', in Meierhofer, J., West, S., and Buecheler, T. (eds) Smart Services Summit : smart services creating sustainability. Cham: Springer, pp. 23–30. doi: 10.1007/978-3-031-36698-7_3.
Meierhofer, J., West, S. and Buecheler, T. (eds) (2023) Smart Services Summit : smart services creating sustainability, Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022. Cham: Springer. doi: 10.1007/978-3-031-36698-7.
Weisskopf, S. and Meierhofer, J. (2023) 'Industrial smart services for circular economy', in Bigdeli, A. Z. et al. (eds) The Role of Servitization in Grand Challenges. Birmingham: Aston University, pp. 54–64.
Meierhofer, J., Benedech, R. A. and Schweiger, L. (2023) 'Data driven decision support framework for industrial smart services design and operations', in Bigdeli, A. Z. et al. (eds) The Role of Servitization in Grand Challenges. Birmingham: Aston University, pp. 220–221.
Schweiger, L., Benedech, R. A. and Meierhofer, J. (2022) 'Development approach for value-creating service process twins based on service design methods', in IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings. IEEE. doi: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003.
West, S., Meierhofer, J. and Mangla, U. (eds) (2022) Smart Services Summit : smart services supporting the new normal, Fourth Smart Services Summit, Zurich, 22 October 2021. Cham: Springer. doi: 10.1007/978-3-030-97042-0.
Dobler, M. et al. (2022) 'On the use of low-code and no-code tools for teaching data science in applied industrial and university settings', in Morel, L., Dupont, L., and Camargo, M. (eds) Conference Proceedings of 2022 IEEE 28th ICE/IMT & 31st IAMOT joint conference. IEEE, pp. 242–249. doi: 10.1109/ICE/ITMC-IAMOT55089.2022.10033266.
Meierhofer, J., Benedech, R. A. and Heitz, C. (2022) 'On the value of data : multi-objective maximization of value creation in data-driven industrial services', in Ceballos, C. (ed.) Proceedings : 2022 9th Swiss Conference on Data Science (SDS). IEEE, pp. 33–39. doi: 10.1109/SDS54800.2022.00013.
Pezzotta, G. et al. (2022) 'Digital servitization in the manufacturing sector : survey preliminary results', in Kim, D. Y., Cieminski, G. v., and Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action : IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25-29, 2022, Proceedings, Part II. Cham: Springer, pp. 310–320. doi: 10.1007/978-3-031-16411-8_37.
Meierhofer, J. et al. (2022) 'Improving service value creation for manufacturing SMEs by overcoming data sharing hurdles in ecosystems', in Bigdeli, A. et al. (eds) Achieving Net-Zero through Servitization. Birmingham: Aston University, pp. 86–94. doi: 10.21256/zhaw-25047.
Schweiger, L. et al. (2022) 'End-to-end digital twin approach for near-real-time decision support services', in West, S., Meierhofer, J., and Mangla, U. (eds) Smart Services Summit : smart services supporting the new normal. Cham: Springer, pp. 67–75. doi: 10.1007/978-3-030-97042-0_7.
Meierhofer, J. et al. (2022) 'Quantitative modelling of the value of data for manufacturing SMEs in smart service provision', in Le Dinh, T. and Drăgoicea, M. (eds) International Conference on Exploring Service Science (IESS 2.2). EDP Sciences, p. 04001. doi: 10.1051/itmconf/20224104001.
Meierhofer, J. and Heitz, C. (2021) 'Service customization : optimizing value creation and capture by designing the customer journey', in Proceedings of the 8th SDS. IEEE, pp. 32–38. doi: 10.1109/SDS51136.2021.00013.
Meierhofer, J., Schweiger, L. and Schreuder, L. (2021) 'Digital twin based decision support services in business operations', in West, S., Meierhofer, J., and Ganz, C. (eds) Smart services summit : digital as an enabler for smart service business development. Cham: Springer, pp. 117–129. doi: 10.1007/978-3-030-72090-2_11.
West, S., Meierhofer, J. and Ganz, C. (eds) (2021) Smart Services Summit : digital as an enabler for smart service business development, Third Smart Services Summit, Zurich (online), 23 October - 23 December 2020. Cham: Springer. doi: 10.1007/978-3-030-72090-2.
Barth, L. et al. (2021) 'Development of a smart connected product-service-system (PSS) for the waste management ecosystem', in Mugellini, E. and Carpanzano, E. (eds) Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions. CEUR Workshop Proceedings. doi: 10.21256/zhaw-25014.
Meierhofer, J., Heitz, C. and Hannich, F. (2021) 'Optimizing service value creation with smart, connected products', in Gummesson, E., Mele, C., and Polese, F. (eds) Proceedings of the 2021 Naples Forum on Service. Available at: https://naplesforumonservice.com/wp-content/uploads/2021/09/meierhofer-heitz-hannich-optimizing-service-value-creation.pdf.
Meierhofer, J. et al. (2021) 'Enabling decision support services in industrial ecosystems by digital twins', in Bigdeli, A. et al. (eds) Proceedings of the Spring Servitization Conference 2021. Birmingham: Aston University, pp. 138–146.
Schweiger, L., Barth, L. and Meierhofer, J. (2020) 'Data resources to create digital twins', in Proceedings of the 7th SDS. IEEE, pp. 55–56. doi: 10.1109/SDS49233.2020.00020.
Meierhofer, J. et al. (2020) 'Smart service patterns for small manufacturing enterprises', in Bigdeli, A. and Baines, T. (eds) Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth. Birmingham: Aston University, pp. 88–95.
West, S. et al. (2020) 'Value propositions enabled by digital twins in the context of servitization', in Bigdeli, A. and Baines, T. (eds) Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth. Birmingham: Aston University, pp. 152–160.
Meierhofer, J. and West, S. (2020) 'Data-driven decision support by digital twins in manufacturing', in Proceedings of the 7th SDS. IEEE, pp. 53–54. doi: 10.1109/SDS49233.2020.00019.
Meierhofer, J. et al. (2020) 'The digital twin as a service enabler : from the service ecosystem to the simulation model', in Nóvoa, H., Drăgoicea, M., and Kühl, N. (eds) IESS 2020 : Exploring Service Science. Cham: Springer, pp. 347–359. doi: 10.1007/978-3-030-38724-2_25.
Meierhofer, J., Kugler, P. and Etschmann, R. (2019) 'Challenges and approaches with data-driven services for SMEs : insights from a field study', in Proceedings of the Spring Servitization Conference : Delivering Services Growth in the Digital Era. Birmingham: Aston University, pp. 39–49.
Meierhofer, J. and West, S. (2019) 'Service value creation using a digital twin', in Naples Forum on Service, Service Dominant Logic, Network & Systems Theory and Service Science: Integrating Three Perspectives for a New Service Agenda, Ischia, Italy, 4-7 June 2019. Available at: http://www.naplesforumonservice.it/uploads/files/2018/Proceedings/NFS2019-Meierhofer-est.pdf.
Schweiger, L. and Meierhofer, J. (2019) 'Data-driven servitization of SMEs : assessment of success factors based on a multiple case study', in Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts. OmniaScience, pp. 85–88.
Meierhofer, J. and West, S. (eds) (2019) 2nd Smart Services Summit, Second Smart Services Summit, Zurich, Switzerland, 13 September 2019. Thun: Swiss Alliance for Data-Intensive Services. doi: 10.21256/zhaw-26321.
West, S. et al. (2019) 'Are practitioners and literature aligned about digital twin?', in Kovács, G. and Kuula, M. (eds) Operations adding value to society. Helsinki: Aalto University Business School, pp. 2781–2790.
Meierhofer, J. and Herrmann, A. (2018) 'End-to-end methodological approach for the data-driven design of customer-centered digital services', in Satzger, G. et al. (eds) IESS 2018: Exploring Service Science. Cham: Springer, pp. 208–218. doi: 10.1007/978-3-030-00713-3_16.
Meierhofer, J. (2018) 'Data driven servitization for SMEs in manufacturing', in Proceedings of the Spring Servitization Conference : Driving Competition through Servitization.
Meierhofer, J. (2017) 'Service value creation using data science', in Gumesson, E., Mele, C., and Polese, F. (eds) Service Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda. Tricase: Youcanprint Self-Publishing. Available at: http://www.naplesforumonservice.it/uploads//files/Meierhofer.pdf.
Meierhofer, J. and Meier, K. (2017) 'From data science to value creation', in Za, S., Drăgoicea, M., and Cavallari, M. (eds) Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings. Cham: Springer, pp. 173–181. doi: 10.1007/978-3-319-56925-3_14.
Meierhofer, J. (2017) 'A design approach to service transformation in small firms', in Proceedings of the Spring Servitization Conference : Internationalisation through Servitization. Birmingham: Aston University, pp. 69–75.

Weitere Publikationen

Kugler, P. et al. (2026) 'EU Data Act : Chance oder Herausforderung?', Innovation MEM.
Meierhofer, J. and Weisskopf, S. (2026) 'Vom Produktverkauf zum Customer Success', fmpro service, 2026(3), pp. 5–7. doi: 10.21256/zhaw-36817.
Meierhofer, J. et al. (2025) 'Mit Methode vom Use Case zum Business Case', KunststoffXtra, 2025(11-12), pp. 14–15. doi: 10.21256/zhaw-35008.
Strittmatter, J. et al. (2025) EU Data Act : Auswirkungen, Handlungsmöglichkeiten und Potenziale. Data Act Pioneer. Available at: https://data-act-pioneer.eu/uploads/250829_FINAL_DAPWhitepaper.pdf.
Burri, C. and Meierhofer, J. (2025) 'Data Value Creator 4.0 – Wertgenerierung durch datenbasierte Optimierung', topsoft Fachmagazin, 15(2), pp. 44–45. doi: 10.21256/zhaw-33862.
Wulf, J., Meierhofer, J. and Hannich, F. (2025) Architecting human-AI cocreation for technical services : interaction modes and contingency factors. arXiv. doi: 10.48550/arxiv.2507.14034.
Vogt, H., Meierhofer, J. and Kugler, P. (2025) 'Einleitung: Herausforderungen und Handlungsbedarf für KMU', in Kugler, P. et al. (eds) Data Sharing für KMU : Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten. Berlin: Springer, pp. 3–8. doi: 10.1007/978-3-662-71209-2_1.
Wulf, J. and Meierhofer, J. (2024) Utilizing large language models for automating technical customer support. arXiv. doi: 10.48550/arXiv.2406.01407.
Meierhofer, J. and Stucki, M. (2024) 'Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services', asut-Bulletin, 2024(01). Available at: https://asut.ch/asut/bulletin/view.xhtml?bulletinId=52&articleId=831.
Wulf, J. and Meierhofer, J. (2024) 'Wie LLMs die Automatisierung im Kundendienst fördern', ServiceToday, 38(Sonderausgabe 2024), pp. 82–83.
Meierhofer, J. and Stucki, M. (2023) 'Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services', ServiceToday, 37(1), pp. 71–72. doi: 10.21256/zhaw-27574.
Benedech, R. A. et al. (2023) Data Sharing Framework für KMU. Available at: https://www.data-sharing-framework.eu/DSF_Abschlussbericht.pdf.
Wulf, J. and Meierhofer, J. (2023) Towards a taxonomy of Large Language Model based business model transformations. arXiv. doi: 10.48550/arXiv.2311.05288.
Wulf, J. and Meierhofer, J. (2023) 'Large Language Models in Industrieunternehmen', Technische Rundschau, 23(9), pp. 48–50. doi: 10.21256/zhaw-28949.
Wulf, J. and Meierhofer, J. (2023) 'Pioneering a new era of automated customer service with large language models (LLMs)', Medium. Available at: https://medium.com/@jocwulf/pioneering-a-new-era-of-automated-customer-service-with-large-language-models-llms-1cc4aacbeb03.
Wulf, J. and Meierhofer, J. (2023) 'Unlocking the business potential of large language models : real-world applications and obstacles', LinkedIn Pulse. Available at: https://www.linkedin.com/pulse/unlocking-business-potential-large-language-models-real-world-wulf/.
Meierhofer, J. and Stucki, M. (2022) 'Mit Smart Services zu mehr Nachhaltigkeit', KunststoffXtra , 2022(11-12), pp. 54–56. doi: 10.21256/zhaw-26269.
Meierhofer, J. (2022) 'Wie produzierende KMU den Wert ihrer Daten erkennen können', topsoft Fachmagazin, 12(1), pp. 10–11. doi: 10.21256/zhaw-24559.
Meierhofer, J. (2022) 'Den Wert von Daten bestimmen', KunststoffXtra , 1-2(2022), pp. 30–32. doi: 10.21256/zhaw-24530.
Vogt, H. et al. (2021) 'Enabling smart services for manufacturing SMEs by data-driven value creation', in The Spring Servitization Conference 2021, Birmingham, United Kingdom, 10-12 May 2021. Available at: https://41753ba1-a36e-4b60-91bd-ac6d4d925510.filesusr.com/ugd/d939c0_74856e92e8204cb498892d7dd1af4f84.pdf.
Meierhofer, J. and Heinatz Bürki, G. (2021) 'Databooster : ein Katalysator für Serviceinnovation', ServiceToday, 35(3), p. 62. doi: 10.21256/zhaw-23050.
Zimmermann, A. et al. (2021) 'Servicekultur als Katalysator für Serviceinnovationen', ServiceToday, 35(2), pp. 72–73. doi: 10.21256/zhaw-22653.
Meierhofer, J., Etschmann, R. and Dobler, M. (2020) 'Data Science veranschaulichen : Demonstrator', in Meierhofer, J. and Kugler, P. (eds) Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, pp. 127–141. Available at: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file.
Meierhofer, J. (2020) 'Data Science und Services', in Meierhofer, J. and Kugler, P. (eds) Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, pp. 69–79. Available at: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file.
Meierhofer, J. and Kugler, P. (eds) (2020) Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu.
Meierhofer, J. and Homberger, P. (2020) 'Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt', ServiceToday, 34(4), pp. 78–79. doi: 10.21256/zhaw-20827.
Meierhofer, J. (2020) 'Die Konvergenz von Digitalisierung und Servitisierung in der Industrie 4.0', Aktuelle Technik, 2020(8), p. 32. doi: 10.21256/zhaw-20432.
Meierhofer, J. and Heitz, C. (2020) 'Data-Driven Management zur Steigerung des Kundennutzens', Netzwoche, 2020(07), p. 11. Available at: https://www.netzwoche.ch/news/2020-04-22/data-driven-management-zur-steigerung-des-kundennutzens.
Meierhofer, J. and Lév, J. (2019) 'Daten-basierter Service-Nutzen entlang der Customer Journey', ServiceToday, 33(2), pp. 86–87. doi: 10.21256/zhaw-3243.
Meierhofer, J. (2019) 'Service Transformation und Service Engineering (AP3)', in Thiel, C. (ed.) Nutzenbasierter Digitalisierungsnavigator : wie KMU ihre Digitalisierungsstrategie selbst entwickeln können. Konstanz: IBH-Lab KMUdigital, pp. 47–61. Available at: https://bzi40.eu/informationen/publikationen/paper/298-nutzenbasierter-digitalisierungsnavigator-wie-kmu-ihre-digitalisierungsstrategie-selbst-entwickeln-koennen.
Meierhofer, J. and Berliat, R. (2019) 'Smart Service Innovation', ServiceToday, 33(4), pp. 96–97. doi: 10.21256/zhaw-18545.
Meierhofer, J. (2019) 'Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle', KunststoffXtra, 9(12), pp. 19–21. Available at: https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0.
Meierhofer, J., Heinatz Bürki, G. and Heitz, C. (2019) 'Data Science für KMU', Unternehmer Zeitung, 25(10), pp. 20–23.
Heitz, C., Heinatz Bürki, G. and Meierhofer, J. (2019) 'Zusammen in die Zukunft : fit für Data Science', KMU Rundschau, 2019(2), pp. 34–35. Available at: https://issuu.com/prestigemedia/docs/kmurundschau_2019_02.
Meierhofer, J. (2018) 'Herausforderungen, Chancen und Perspektiven mit Industrie 4.0', Aktuelle Technik, 2018(12), pp. 20–21.
Meierhofer, J. (2018) 'Datenbasierte Service-Innovation', Spot.on Marketing.
Meierhofer, J. and Heinatz, G. (2018) 'Wie sich die Dienstleistungswirtschaft durch Daten wandelt', SocietyByte, 2018. doi: 10.21256/zhaw-3949.
Meierhofer, J. (2018) 'Industrie 4.0 : Perspektiven durch neue Service-Modelle', topsoft Fachmagazin, 8(1), pp. 18–19. Available at: https://issuu.com/topsoft/docs/tsm18-1.
Meierhofer, J. and Lév, J. (2016) 'Innovationshelfer Mensch, Papier, Schere : Innovation // Um erfolgreich disruptive Innovation zu schaffen, muss zuerst der strategische Fokus und das Ziel der Digitalisierung definiert werden. Entscheidend ist die Frage: Womit schaffen wir den grössten Mehrwert für Unternehmen und Kunden?', Computerworld, pp. 18–19.
Meierhofer, J., Heitz, C. and Steiner, A. (2004) 'Simulation based case studies for management training in the fields of production and supply chain Management', in Automation and logistics for manufacturing in Switzerland. Brugg: Fachhochschule Nordwestschweiz FHNW. doi: 10.21256/zhaw-1884.
Meierhofer, J. and Steiner, A. (2004) 'Quantitative assessment and capacity planning of business processes in the service sector', in Automation and logistics for manufacturing in Switzerland. Brugg: Fachhochschule Nordwestschweiz FHNW.
Steiner, A., Hosang, J. and Meierhofer, J. (2004) 'Vehicular traffic data analysis and its benefits to prevent traffic congestion', in Proceedings of the IPLnet 2004 Workshop. IPLnet.

Mündliche Konferenzbeiträge und Abstracts

Kugler, P., Vogt, H. and Meierhofer, J. (2023) 'Data sharing in ecosystems : a multi-perspective view', in 8. F&E-Konferenz zu Industrie 4.0, Rotkreuz, Switzerland, 24 January 2023.
Meierhofer, J. (2018) 'Challenges and approaches for product-service-transformation of SMEs', in Servsig Proceedings : Opportunities for Services in a Challenging World, pp. 102–106. Available at: https://www.ieseg.fr/wp-content/uploads/2018/02/SERVSIG-2018-Proceedings.pdf.

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