Dr. Jürg Meierhofer

Position at the ZHAW

Senior Lecturer Smart Service Engineering
Coordinator ZHAW platform industry 4.0
Lead expert group in data innovation alliance
Topic lead Innovation at the Schweizer Kundendienst Verband (on the board of the association)

https://www.zhaw.ch/de/engineering/institute-zentren/idp/forschungsthemen/data-driven-service-engineering/

Professional development teaching

• MAS Wirtschaftsingenieurwesen
• CAS Smart Service Engineering (Data Product Design)
• CAS Industry 4.0 – from idea to implementation
• MAS Industrie 4.0
• CAS Managing Circular Economy

Expertise and research interests

- smart service engineering / data-driven service design
- service operations and management
- quantitative service models and service simulation
- digital twin
- servitization of manufacturing, product service transformation, services and business models for industrie 4.0,
- industrie 4.0
- service science, Service-Dominant Logic,
- innovation and optimization of customer service

Educational background

Dr. sc. techn. ETH, executive MBA (iimt)

Professional milestones

- La Mobilière, head of department "Innovation Projects", senior management consultant
- Swisscom, head of department, head of service champion program, lean management
- Bluewin AG, project lead mobile, consultant
- Swisscom Mobile, technical project lead mobile services
- ETH Zürich, research assistant in international projects (mobile communications)

Membership of networks

• data innovation alliance - Expert Group Smart Services
• Vorstand des Schweizer Service Verbandes
• Associate Member Digital Society Initiative University of Zurich
• IBH-Lab KMUdigital
• Arbeitsgruppe Smart Data Industrie 2025
• ETH Alumni
• iimt Alumni
• Researchgate
• ORCID
• ZHAW Plattform Industrie 4.0 (Coordinator)

• End-to-End Data Driven Design of After-Sales-Services for Digital Cutters / Project leader / Project ongoing
• Utilisation of data along the product and customer life cycle to optimise the triple bottom line / Project leader / Project ongoing
• Data Sharing Framework / Project leader / Project ongoing
• Design of human-machine interactions in autonomous digital service ecosystems (socio-technical systems) / Project leader / Project ongoing
• Development of the Waste Management Ecosystem based on a Smart Connected Product-Service-System (PSS) / Team member / Project ongoing
• DATA4Des – Teaching Data Product / Service Design / Project leader / Project completed
• Expert Group "Smart Services" der "data innovation alliance" / Project leader / Project completed
• InnoEco / Project leader / Project completed
• Digital twin-based services to support decision making along the product lifecycle of capital equipment / Project leader / Project completed
• Data Science für KMU (Data4KMU) / Project leader / Project completed
• Studie "Perspektivenvielfalt" / Team member / Project completed
• IBH-Lab KMUdigital / Project leader / Project completed
• Koordination ZHAW Plattform Industrie 4.0 / Project leader / Project completed
• Nutzenbasierter Digitalisierungsnavigator (DigiNav) / Project leader / Project completed
• Complexity 4.0 / Project leader / Project completed

• West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Züst, Simon,

  2021.

  Digital twin providing new opportunities for value co-creation through supporting decision-making.

  Applied Sciences.

  11(9), pp. 3750.

  Available from: https://doi.org/10.3390/app11093750

• Meierhofer, Jürg; Schweiger, Lukas; Lu, Jinzhi; Züst, Simon; West, Shaun; Stoll, Oliver; Kiritsis, Dimitris,

  2021.

  Digital twin-enabled decision support services in industrial ecosystems.

  Applied Sciences.

  11(23), pp. 11418.

  Available from: https://doi.org/10.3390/app112311418

• Meierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark,

  2019.

  Data products

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 47-61.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_4

• Hollenstein, Lukas; Lichtensteiger, Lukas; Stadelmann, Thilo; Amirian, Mohammadreza; Budde, Lukas; Meierhofer, Jürg; Füchslin, Rudolf Marcel; Friedli, Thomas,

  2019.

  Unsupervised learning and simulation for complexity management in business operations

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 313-331.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_17

• Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario,

  2022.

  Quantitative modelling of the value of data for manufacturing SMEs in smart service provision [paper].

  In:

  Le Dinh, Thắng; Drăgoicea, Monica, eds.,

  International Conference on Exploring Service Science (IESS 2.2).

  12th International Conference on Exploring Service Science, Geneva (virtual), 16-18 February 2022.

  EDP Sciences.

  pp. 04001.

  ITM Web of Conferences ; 41.

  Available from: https://doi.org/10.1051/itmconf/20224104001

• Meierhofer, Jürg; Heitz, Christoph; Hannich, Frank,

  2021.

  Optimizing service value creation with smart, connected products [paper].

  In:

  Gummesson, Evert; Mele, Cristina; Polese, Francesco, eds.,

  Proceedings of the 2021 Naples Forum on Service.

  The 2021 Naples Forum on Service, a Service Lens on Changing Business and Society, Capri, Italy, 6-9 September 2021.

  Available from: https://naplesforumonservice.com/wp-content/uploads/2021/09/meierhofer-heitz-hannich-optimizing-service-value-creation.pdf

• Meierhofer, Jürg; Züst, Simon; Lu, Jinzhi; Schweiger, Lukas; Kiritsis, Dimitris,

  2021.

  Enabling decision support services in industrial ecosystems by digital twins [paper].

  In:

  Bigdeli, Ali; Baines, Tim; Rapaccini, Mario; Saccani, Marco; Adrodegari, Federico, eds.,

  Proceedings of the Spring Servitization Conference 2021.

  Spring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021.

  Birmingham:

  Aston University.

  pp. 138-146.

• Meierhofer, Jürg; Schweiger, Lukas; Schreuder, Lukas,

  2021.

  Digital twin based decision support services in business operations [paper].

  In:

  West, Shaun; Meierhofer, Jürg; Ganz, Christopher, eds.,

  Smart services summit : digital as an enabler for smart service business development.

  Third Smart Services Summit 2020, Zurich (online), 23 October - 23 December 2020.

  Cham:

  Springer.

  pp. 117-129.

  Progress in IS.

  Available from: https://doi.org/10.1007/978-3-030-72090-2_11

• Meierhofer, Jürg; Heitz, Christoph,

  2021.

  Service customization : optimizing value creation and capture by designing the customer journey [paper].

  In:

  Proceedings of the 8th SDS.

  8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

  IEEE.

  pp. 32-38.

  Available from: https://doi.org/10.1109/SDS51136.2021.00013

• West, Shaun; Meierhofer, Jürg; Ganz, Christopher, eds.,

  2021.

  Smart services summit : digital as an enabler for smart service business development.

  Third Smart Services Summit 2020, Zurich (online), 23 October - 23 December 2020.

  Cham:

  Springer.

  Progress in IS.

  ISBN 978-3-030-72089-6.

  Available from: https://doi.org/10.1007/978-3-030-72090-2

• Meierhofer, Jürg; Dobler, Martin; Frick, Klaus; Schweiger, Lukas,

  2020.

  Smart service patterns for small manufacturing enterprises [paper].

  In:

  Bigdeli, Ali; Baines, Tim, eds.,

  Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.

  Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.

  Birmingham:

  Aston University.

  pp. 88-95.

  Available from: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

• West, Shaun; Meierhofer, Jürg; Stoll, Oliver; Schweiger, Lukas,

  2020.

  Value propositions enabled by digital twins in the context of servitization [paper].

  In:

  Bigdeli, Ali; Baines, Tim, eds.,

  Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.

  Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.

  Birmingham:

  Aston University.

  pp. 152-160.

  Available from: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

• Meierhofer, Jürg; West, Shaun,

  2020.

  Data-driven decision support by digital twins in manufacturing [paper].

  In:

  Proceedings of the 7th SDS.

  7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.

  IEEE.

  pp. 53-54.

  Available from: https://doi.org/10.1109/SDS49233.2020.00019

• Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo,

  2020.

  The digital twin as a service enabler : from the service ecosystem to the simulation model [paper].

  In:

  Nóvoa, Henriqueta; Drăgoicea, Monica; Kühl, Niklas, eds.,

  IESS 2020 : Exploring Service Science.

  10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020.

  Cham:

  Springer.

  pp. 347-359.

  Lecture Notes in Business Information Processing ; 377.

  Available from: https://doi.org/10.1007/978-3-030-38724-2_25

• Schweiger, Lukas; Barth, Linard; Meierhofer, Jürg,

  2020.

  Data resources to create digital twins [paper].

  In:

  Proceedings of the 7th SDS.

  7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.

  IEEE.

  pp. 55-56.

  Available from: https://doi.org/10.1109/SDS49233.2020.00020

• Schweiger, Lukas; Meierhofer, Jürg,

  2019.

  Data-driven servitization of SMEs : assessment of success factors based on a multiple case study [paper].

  In:

  Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts.

  8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019.

  OmniaScience.

  pp. 85-88.

• West, Shaun; Barbieri, Cosimo; Rapaccini, Mario; Meierhofer, Jürg,

  2019.

  Are practitioners and literature aligned about digital twin? [paper].

  In:

  Kovács, Gyöngyi; Kuula, Markku, eds.,

  Operations adding value to society.

  26th EurOMA Conference, Helsinki, Finland, 17-19 June 2019.

  Helsinki:

  Aalto University Business School.

  pp. 2781-2790.

• Meierhofer, Jürg; Kugler, Petra; Etschmann, Roman,

  2019.

  Challenges and approaches with data-driven services for SMEs : insights from a field study [paper].

  In:

  Proceedings of the Spring Servitization Conference : Delivering Services Growth in the Digital Era.

  Spring Servitization Conference «Delivering Services Growth in the Digital Era», Linköping, Sweden, 13-15 May 2019.

  Birmingham:

  Aston University.

  pp. 39-49.

• Meierhofer, Jürg; West, Shaun,

  2019.

  Service value creation using a digital twin [paper].

  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 from: http://www.naplesforumonservice.it/uploads/files/2018/Proceedings/NFS2019-Meierhofer-est.pdf

• Meierhofer, Jürg,

  2018.

  Data driven servitization for SMEs in manufacturing [paper].

  In:

  Proceedings of the Spring Servitization Conference : Driving Competition through Servitization.

  Spring Servitization Conference «Driving Competition through Servitization», Birmingham, United Kingdom, 14-16 May 2018.

• Meierhofer, Jürg; Herrmann, Anne,

  2018.

  End-to-end methodological approach for the data-driven design of customer-centered digital services [paper].

  In:

  Satzger, Gerhard; Patrício, Lia; Zaki, Mohamed; Kühl, Niklas; Hottum, Peter, eds.,

  IESS 2018: Exploring Service Science.

  9th International Conference on Exploring Service Science (IESS 2018), Karlsruhe, Germany, 19-21 September 2018.

  Cham:

  Springer.

  pp. 208-218.

  Lecture notes in business information processing.

  Available from: https://doi.org/10.1007/978-3-030-00713-3_16

• Meierhofer, Jürg,

  2017.

  A design approach to service transformation in small firms [paper].

  In:

  Proceedings of the Spring Servitization Conference : Internationalisation through Servitization.

  Spring Servitization Conference «Internationalisation through Servitization», Lucerne, 15-17 May 2017.

  Birmingham:

  Aston University.

  pp. 69-75.

• Meierhofer, Jürg; Meier, Kevin,

  2017.

  From data science to value creation [paper].

  In:

  Za, Stefano; Drăgoicea, Monica; Cavallari, Maurizio, eds.,

  Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings.

  8th International Conference (IESS 2017), Rome, Italy, 24-26 May 2017.

  Cham:

  Springer.

  pp. 173-181.

  Lecture notes in business information processing ; 279.

  Available from: https://doi.org/10.1007/978-3-319-56925-3_14

• Meierhofer, Jürg,

  2017.

  Service value creation using data science [paper].

  In:

  Gumesson, Evert; Mele, Cristina; Polese, Francesco, eds.,

  Service Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda.

  The 5th Naples Forum on Service, Sorrento, Naples, 6-9 June 2017.

  Tricase:

  Youcanprint Self-Publishing.

  Available from: http://www.naplesforumonservice.it/uploads//files/Meierhofer.pdf

• Meierhofer, Jürg,

  2022.

  Wie produzierende KMU den Wert ihrer Daten erkennen können.

  Topsoft-Fachmagazin.

  22(1), pp. 10-11.

  Available from: https://doi.org/10.21256/zhaw-24559

• Meierhofer, Jürg,

  2022.

  Den Wert von Daten bestimmen.

  KunststoffXtra .

  1-2(2022), pp. 30-32.

  Available from: https://doi.org/10.21256/zhaw-24530

• Meierhofer, Jürg; Heinatz Bürki, Gundula,

  2021.

  Databooster : ein Katalysator für Serviceinnovation.

  Service Today.

  35(3), pp. 62.

  Available from: https://doi.org/10.21256/zhaw-23050

• Zimmermann, Anja; Meierhofer, Jürg; von dem Berge, Karina; Schweiger, Lukas,

  2021.

  Servicekultur als Katalysator für Serviceinnovationen.

  Service Today.

  35(2), pp. 72-73.

  Available from: https://doi.org/10.21256/zhaw-22653

• Vogt, Helen; Kugler, Petra; Meierhofer, Jürg; Benedech, Rodolfo Andres,

  2021.

  Enabling smart services for manufacturing SMEs by data-driven value creation [poster].

  In:

  The Spring Servitization Conference 2021, Birmingham, United Kingdom, 10-12 May 2021.

  Available from: https://41753ba1-a36e-4b60-91bd-ac6d4d925510.filesusr.com/ugd/d939c0_74856e92e8204cb498892d7dd1af4f84.pdf

• Meierhofer, Jürg; Homberger, Pascal,

  2020.

  Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt.

  Servicetoday.

  2020(4), pp. 78-79.

  Available from: https://doi.org/10.21256/zhaw-20827

• Meierhofer, Jürg,

  2020.

  Die Konvergenz von Digitalisierung und Servitisierung in der Industrie 4.0.

  Aktuelle Technik.

  2020(8), pp. 32.

  Available from: https://doi.org/10.21256/zhaw-20432

• Meierhofer, Jürg; Heitz, Christoph,

  2020.

  Data-Driven Management zur Steigerung des Kundennutzens.

  Netzwoche.

  2020(07), pp. 11.

  Available from: https://www.netzwoche.ch/news/2020-04-22/data-driven-management-zur-steigerung-des-kundennutzens

• Meierhofer, Jürg,

  2020.

  Data Science und Services

  .

  In:

  Meierhofer, Jürg; Kugler, Petra, eds.,

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.

  pp. 69-79.

  Available from: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file

• Meierhofer, Jürg; Etschmann, Roman; Dobler, Martin,

  2020.

  Data Science veranschaulichen : Demonstrator

  .

  In:

  Meierhofer, Jürg; Kugler, Petra, eds.,

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.

  pp. 127-141.

  Available from: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file

• Meierhofer, Jürg; Kugler, Petra, eds.,

  2020.

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu

• Meierhofer, Jürg,

  2019.

  Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle.

  KunststoffXtra.

  9(12), pp. 19-21.

  Available from: https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0

• Meierhofer, Jürg; Heinatz Bürki, Gundula; Heitz, Christoph,

  2019.

  Data Science für KMU.

  Unternehmer Zeitung.

  25(10), pp. 20-23.

• Heitz, Christoph; Heinatz Bürki, Gundula; Meierhofer, Jürg,

  2019.

  Zusammen in die Zukunft : fit für Data Science.

  KMU Rundschau.

  2019(2), pp. 34-35.

  Available from: https://issuu.com/prestigemedia/docs/kmurundschau_2019_02

• Meierhofer, Jürg; Lév, Jana,

  2019.

  Daten-basierter Service-Nutzen entlang der Customer Journey.

  Service Today.

  2019(2), pp. 86-87.

  Available from: https://doi.org/10.21256/zhaw-3243

• Meierhofer, Jürg,

  2019.

  Service Transformation und Service Engineering (AP3)

  .

  In:

  Thiel, Christian, ed.,

  Nutzenbasierter Digitalisierungsnavigator : wie KMU ihre Digitalisierungsstrategie selbst entwickeln können.

  Konstanz:

  IBH-Lab KMUdigital.

  pp. 47-61.

  Available from: http://bzi40.eu/de/publikationen/tags/arbeitswelt/298-nutzenbasierter-digitalisierungsnavigator-wie-kmu-ihre-digitalisierungsstrategie-selbst-entwickeln-koennen

• Meierhofer, Jürg; Berliat, Roger,

  2019.

  Smart Service Innovation.

  Service Today.

  33(4), pp. 96-97.

  Available from: https://doi.org/10.21256/zhaw-18545

• Meierhofer, Jürg,

  2018.

  Herausforderungen, Chancen und Perspektiven mit Industrie 4.0.

  Aktuelle Technik.

  2018(12), pp. 20-21.

  Available from: https://aktuelletechnik.blverlag.ch/herausforderungen-chancen-und-perspektiven-mit-industrie-4-0/

• Meierhofer, Jürg,

  2018.

  Datenbasierte Service-Innovation.

  Spot.on Marketing.

  Available from: http://www.spot-on-marketing.com/beitraege/daten-basierte-service-innovation/

• Meierhofer, Jürg; Heinatz, Gundula,

  2018.

  Wie sich die Dienstleistungswirtschaft durch Daten wandelt.

  SocietyByte.

  2018.

  Available from: https://doi.org/10.21256/zhaw-3949

• Meierhofer, Jürg,

  2018.

  Industrie 4.0 : Perspektiven durch neue Service-Modelle.

  Topsoft-Magazin.

  18(1), pp. 18-19.

  Available from: https://issuu.com/topsoft/docs/tsm18-1

• Meierhofer, Jürg; Lév, Jana,

  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, Jürg; Steiner, Albert,

  2004.

  Quantitative assessment and capacity planning of business processes in the service sector [paper].

  In:

  Automation and logistics for manufacturing in Switzerland.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  Brugg:

  FHNW Fachhochschule Nordwestschweiz.

• Meierhofer, Jürg; Heitz, Christoph; Steiner, Albert,

  2004.

  Simulation based case studies for management training in the fields of production and supply chain Management [paper].

  In:

  Automation and logistics for manufacturing in Switzerland.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  Brugg:

  FHNW Fachhochschule Nordwestschweiz.

  Available from: https://doi.org/10.21256/zhaw-1884

• Steiner, Albert; Hosang, Jürg; Meierhofer, Jürg,

  2004.

  Vehicular traffic data analysis and its benefits to prevent traffic congestion [paper].

  In:

  Proceedings of the IPLnet 2004 Workshop.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  IPLnet.

• Meierhofer, Jürg,

  2018.

  Challenges and approaches for product-service-transformation of SMEs.

  In:

  Servsig Proceedings : Opportunities for Services in a Challenging World.

  10th SERVSIG: «Opportunities for Services in a Challenging World», Paris, 14-16 June 2018.

  pp. 102-106.

  Available from: https://www.ieseg.fr/wp-content/uploads/2018/02/SERVSIG-2018-Proceedings.pdf

• U. P. Bernhard, J. Meierhofer, "Coded OFDM Transmission for High-Speed Wireless Access to ATM Networks", in Proc. of Wireless '96, Calgary, Canada, July 1996, pp. 102-115.
• J. Meierhofer, U. P. Bernhard, "Medium Access Control for Wireless Extensions of ATM Networks", in Proc. of IEEE Globecom '96, London, England, November 1996, pp. 29-33.
• J. Meierhofer, U. P. Bernhard, P. Balmelli, D. Bernasconi, "Priority Scheduling Algorithm for ATM Wireless Network Access", in Proc. of IEEE ICUPC '97, San Diego, USA, October 1997, pp. 289-294.
• J. Meierhofer, U. P. Bernhard, T. Hunziker, "Finite State Radio Channel Model for Indoor Wireless ATM Networks", in Proc. of IEEE ICT'98, Chalkidiki, Greece, June 1998, pp. 39-43.
• J. Meierhofer, "Data Link Control for Indoor Wireless ATM Networks", in Proc. of Wireless '98, Calgary, Canada, July 1998, pp. 517-525.
• J. Meierhofer, U. P. Bernhard, "Link Quality Control for Wireless ATM Networks", in Proc. of IEEE ICC'99, Vancouver, Canada, June 1999, pp. 1874-1879.
• J. Meierhofer, G. Fankhauser, "Error-Resilient, Tagged Video Stream Coding with Wireless Data Link Control", in Proc. of IEEE WPMC '99, Amsterdam, The Netherlands, September 1999, pp. 306-311.
• J. Meierhofer, “HYPERFLOW: An Efficient Error Control Protocol for Wireless Broadband Access Networks”, Wireless Personal Communications (WPC) 20 (2), pp. 189-203, February 2002.
• J. Meierhofer, “Fluid Flow Model and Queueing Analysis of an Error Control Scheme for Wireless Broadband Access Networks”, European Transactions on Telecommunications / AEI, 2003, pp. 269 ff.
• J. Meierhofer, A. Steiner, “Quantitative Assessment and Capacity Planning of Business Processes in the Service Sector”, Proceedings of the IPLnet 2004 Workshop, September 7-8, 2004, Murten, Switzerland, 2004.
• J. Meierhofer, C. Heitz, A. Steiner, “Simulation based case studies for management training in the fields of production and supply chain training”, Proceedings of the IPLnet 2004 Workshop, September 7-8, 2004, Murten, Switzerland, 2004.

Other contributions

- Studie: Grossunternehmen setzen auf Data Science – KMU zögern noch (https://www.zhaw.ch/de/engineering/ueber-uns/news/news/event-news/studie-grossunternehmen-setzen-auf-data-science-kmu-zoegern-noch/)
- Digitalisierung – Neue Erträge für KMU, Baubranche muss umdenken (SRF Eco):
www.srf.ch/play/tv/eco/video/digitalisierung&&

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