Dr. sc. ETH Jürg Meierhofer

Work at ZHAW

Position

senior lecturer, research & development

Focus

• Data Driven Service Engineering
• Smart Services
• Quantitive Value Models for Industrial Services

Teaching

• Director of studies Smart Service Engineering (CAS)
• Director of studies Industrie 4.0 (MAS)
• Service Operations and Management (TSM_OpMgmt)
• Smart services (CM_SmartSer)
• Master in Circular Economy Management
• Service Engineering Basics (in Bachelor business engineering)
• Service Engineering Lab (in Bachelor business engineering)

Professional development teaching

• CAS Smart Service Engineering (Data Product Design)
• MAS Industrie 4.0
• MAS Wirtschaftsingenieurwesen
• CAS Managing Circular Economy

Experience

• head of department "Innovation Projects", senior management consultant
  La Mobilière
  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
• project lead mobile communications
  Bluewin AG
  08 / 2001 - 02 / 2003
• project lead mobile services
  Swisscom Mobile AG
  03 / 2000 - 07 / 2001
• Research Assistant
  ETH Zurich
  10 / 1994 - 02 / 2000

Education and Continuing education

Education

• Executive MBA / ICT Management
  university of Fribourg, international institute of management in technology (iimt)
  02 / 2002 - 12 / 2005
• Dr. sc. techn. ETH (PhD) / electrical engineering, communications technology
  ETH Zurich
  08 / 1997 - 07 / 2000
• Dipl. NDS ETH / information technology
  ETH Zurich
  10 / 1994 - 06 / 1998
• Dipl. El.-Ing. ETH / electrical engineering
  ETH Zurich
  10 / 1989 - 05 / 1994

Network

Membership of networks

• data innovation alliance - Head Expert Group Smart Services
• Schweizer Service Verband, scientific advisory board
• ZHAW Platform Industry 4.0
• ORCID
• Google Scholar
• Researchgate

ORCID digital identifier

ORCID ID: 0000-0003-1645-5686

Awards

• Best Paper Award
  Spring Servitization Conference 2024
  05 / 2024
• Best Paper Award
  Swiss Conference on Data Science
  06 / 2022
• www.linkedin.com/in/j%C3%BCrg-meierhofer-237254/overlay/1635476942891/single-media-viewer
  Naples Forum on Service
  09 / 2021

Social media

LinkedIn

Media presence

SRF Eco

Projects

• Enabling manufacturing companies to implement the circular economy through the use of data (BePro-CEND) / Co-project leader / laufend
• Sustainable Mobility Lab / Project leader / laufend
• IoT Sustainability Lab / Co-project leader / laufend
• Customizable Injection Molded Products and Services with Interconnected Production Planning / Team member / laufend
• End-to-End Data Driven Design of After-Sales-Services for Digital Cutters / Project leader / abgeschlossen
• Utilisation of data along the product and customer life cycle to optimise the triple bottom line / Project leader / abgeschlossen
• «Beyond Public Management» - E-participation based on collective intelligence / Co-project leader / abgeschlossen
• Data Sharing Framework / Project leader / abgeschlossen
• Design of human-machine interactions in autonomous digital service ecosystems (socio-technical systems) / Project leader / abgeschlossen
• Development of the Waste Management Ecosystem based on a Smart Connected Product-Service-System (PSS) / Team member / abgeschlossen
• DATA4Des – Teaching Data Product / Service Design / Project leader / abgeschlossen
• Digital twin-based services to support decision making along the product lifecycle of capital equipment / Project leader / abgeschlossen
• Complexity 4.0 / Project leader / abgeschlossen

Publications

• Meierhofer, Jürg; Heitz, Christoph,

  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.

  Available from: https://doi.org/10.1177/23949643231199002

• Baldenweg-Bölle, Ulrike; Meierhofer, Jürg; Mertes, Alexander,

  2022.

  Co-creating service value from data in a public administration context.

  Swiss Yearbook of Administrative Sciences.

  13(1), pp. 35-50.

  Available from: https://doi.org/10.5334/ssas.163

• 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

• Kugler, Petra; Vogt, Helen; Meierhofer, Jürg; Dobler, Martin; Strittmatter, Marc; Treiterer, Manuel; Schick, Sophia,

  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.

  Schwerpunkt Business Model Innovation.

  Available from: https://doi.org/10.1007/978-3-658-43130-3_8

• Meierhofer, Jürg; Lindegger, Reto; Brunner, Roger,

  2022.

  Nutzen für BürgerInnen und Verwaltung durch einen Smart Service-orientierten Gestaltungsansatz

  .

  In:

  Pleger, Lyn Ellen; Mertes, Alexander, eds.,

  Digitale Transformation der öffentlichen Verwaltung in der Schweiz : Stand, Entwicklungslinien und Praxisbeispiele.

  Wiesbaden:

  Springer.

  pp. 219-241.

  Available from: https://doi.org/10.1007/978-3-658-36591-2_10

• 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

• Weisskopf, Simon Alexander; Meierhofer, Jürg; Sordini, Furio Valerio,

  2024.

  Quantitative models for sustainable smart services in the building industry [paper].

  In:

  West, Shaun; Meierhofer, Jürg; Buecheler, Thierry, eds.,

  Smart Services Summit : building resilience in a changing world.

  Sixth Smart Services Summit, Zurich, Switzerland, 27 Oktober 2023.

  Cham:

  Springer.

  pp. 29-41.

  Available from: https://doi.org/10.1007/978-3-031-60313-6_3

• Wulf, Jochen; Meierhofer, Jürg,

  2024.

  Towards a taxonomy of Large Language Model based business model transformations [paper].

  In:

  West, Shaun; Meierhofer, Jürg; Buecheler, Thierry, eds.,

  Smart Services Summit : Building Resilience in a Changing World.

  Smart Services Summit, Zurich, Switzerland, 23 October 2023.

  Cham:

  Springer.

  pp. 119-131.

  SMSESU 2023. Progress in IS.

  Available from: https://doi.org/10.1007/978-3-031-60313-6_9

• Wulf, Jochen; Meierhofer, Jürg,

  2024.

  Exploring the potential of large language models for automation in technical customer service [paper].

  In:

  Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, eds.,

  Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

  Spring Servitization Conference, Tilburg, The Netherlands, 13-14 May 2024.

  The Advanced Services Group.

  pp. 146-157.

  Available from: https://doi.org/10.21256/zhaw-30660

• Benedech, Rodolfo; Moorthy, Anand R.; Weisskopf, Simon; Meierhofer, Jürg; Rapaccini, Mario,

  2024.

  Unveiling the synergy : economic and environmental value of building management systems in the era of digital service innovation [paper].

  In:

  Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, eds.,

  Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

  Spring Servitization Conference, Tilburg, The Netherlands, 13-14 Mai 2024.

  The Advanced Services Group.

  pp. 181-192.

  Available from: https://doi.org/10.21256/zhaw-30883

• Stucki, Melissa; Meierhofer, Jürg; Gal, Barna; Gallina, Viola; Eisl, Stefanie,

  2024.

  Data driven value creation in industrial services including remanufacturing [paper].

  In:

  5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), Lisbon, Portugal, 22-24 November 2023.

  Elsevier.

  pp. 2240-2248.

  Available from: https://doi.org/10.1016/j.procs.2024.02.043

• Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas,

  2023.

  Data driven decision support framework for industrial smart services design and operations [poster].

  In:

  Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, eds.,

  The Role of Servitization in Grand Challenges.

  Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.

  Birmingham:

  Aston University.

  pp. 220-221.

• Weisskopf, Simon; Meierhofer, Jürg,

  2023.

  Industrial smart services for circular economy [paper].

  In:

  Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, eds.,

  The Role of Servitization in Grand Challenges.

  Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.

  Birmingham:

  Aston University.

  pp. 54-64.

• Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, eds.,

  2023.

  Smart Services Summit : smart services creating sustainability.

  Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.

  Cham:

  Springer.

  Progress in IS.

  ISBN 978-3-031-36697-0.

  Available from: https://doi.org/10.1007/978-3-031-36698-7

• Meierhofer, Jürg; Stucki, Melissa,

  2023.

  Sustainable value optimization by smart services along the customer lifecycle [paper].

  In:

  Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, eds.,

  Smart Services Summit : smart services creating sustainability.

  Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.

  Cham:

  Springer.

  pp. 23-30.

  Progress in IS.

  Available from: https://doi.org/10.1007/978-3-031-36698-7_3

• Meierhofer, Jürg; Kugler, Petra; Vogt, Helen; Dobler, Martin; Benedech, Rodolfo Andres; Strittmatter, Marc; Treiterer, Manuel,

  2022.

  Improving service value creation for manufacturing SMEs by overcoming data sharing hurdles in ecosystems [paper].

  In:

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

  Achieving Net-Zero through Servitization.

  Spring Servitization Conference (SSC), Florence, Italy, 9-10 May 2022.

  Birmingham:

  Aston University.

  pp. 86-94.

  Available from: https://doi.org/10.21256/zhaw-25047

• Schweiger, Lukas; Meierhofer, Jürg; Barbieri, Cosimo; Rapaccini, Mario,

  2022.

  End-to-end digital twin approach for near-real-time decision support services [paper].

  In:

  West, Shaun; Meierhofer, Jürg; Mangla, Utpal, eds.,

  Smart Services Summit : smart services supporting the new normal.

  Fourth Smart Services Summit, Zurich, Switzerland, 22 October 2021.

  Cham:

  Springer.

  pp. 67-75.

  Progress in IS.

  Available from: https://doi.org/10.1007/978-3-030-97042-0_7

• 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

• Schweiger, Lukas; Benedech, Rodolfo Andres; Meierhofer, Jürg,

  2022.

  Development approach for value-creating service process twins based on service design methods [paper].

  In:

  IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings.

  2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 12-15 September 2022.

  IEEE.

  Available from: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003

• Pezzotta, Giuditta; Arioli, Veronica; Adrodegari, Federico; Rapaccini, Mario; Saccani, Nicola; Rakic, Slavko; Marjanovic, Ugljesa; West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Holst, Lennard; Wiesner, Stefan A.; Bertoni, Marco; Romero, David; Pirola, Fabiana; Sala, Roberto; Gaiardelli, Paolo,

  2022.

  Digital servitization in the manufacturing sector : survey preliminary results [paper].

  In:

  Kim, Duck Young; Cieminski, Gregor von; Romero, David, 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.

  IFIP International Conference on Advances in Production Management Systems (APMS 2022), hybrid, 25-29 September 2022.

  Cham:

  Springer.

  pp. 310-320.

  Available from: https://doi.org/10.1007/978-3-031-16411-8_37

• Dobler, Martin; Meierhofer, Jürg; Frick, Klaus; Bentele, Marcus,

  2022.

  On the use of low-code and no-code tools for teaching data science in applied industrial and university settings [paper].

  In:

  Morel, Laure; Dupont, Laurent; Camargo, Mauricio, eds.,

  Conference Proceedings of 2022 IEEE 28th ICE/IMT & 31st IAMOT joint conference.

  28th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association for Management of Technology (IAMOT) Joint Conference, Nancy, France, 19 - 23 June 2022.

  IEEE.

  pp. 242-249.

  Available from: https://doi.org/10.1109/ICE/ITMC-IAMOT55089.2022.10033266

• Meierhofer, Jürg; Benedech, Rodolfo Andres; Heitz, Christoph,

  2022.

  On the value of data : multi-objective maximization of value creation in data-driven industrial services [paper].

  In:

  Ceballos, Cristina, ed.,

  Proceedings : 2022 9th Swiss Conference on Data Science (SDS).

  9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.

  IEEE.

  pp. 33-39.

  Available from: https://doi.org/10.1109/SDS54800.2022.00013

• West, Shaun; Meierhofer, Jürg; Mangla, Utpal, eds.,

  2022.

  Smart Services Summit : smart services supporting the new normal.

  Fourth Smart Services Summit, Zurich, 22 October 2021.

  Cham:

  Springer.

  Progress in IS.

  ISBN 978-3-030-97041-3.

  Available from: https://doi.org/10.1007/978-3-030-97042-0

• 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.

• Barth, Linard; Sarperi, Luciano; Dettling, Marcel; Meierhofer, Jürg; Bulatovic, Andjela; Schweiger, Lukas,

  2021.

  Development of a smart connected product-service-system (PSS) for the waste management ecosystem [paper].

  In:

  Mugellini, Elena; Carpanzano, Emanuele, eds.,

  Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions.

  FTAL Conference 2021 – Sustainable smart cities and regions, Lugano, Switzerland, 28-29 October 2021.

  CEUR Workshop Proceedings.

  Available from: https://doi.org/10.21256/zhaw-25014

• 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, 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.

• 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.

• 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.

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

  2019.

  2nd Smart Services Summit.

  Second Smart Services Summit, Zurich, Switzerland, 13 September 2019.

  Thun:

  Swiss Alliance for Data-Intensive Services.

  .

  ISBN 978-3-033-07563-4.

  Available from: https://doi.org/10.21256/zhaw-26321

• 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 International Annual 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

• Wulf, Jochen; Meierhofer, Jürg,

  2024.

  Utilizing large language models for automating technical customer support.

  arXiv.

  Available from: https://doi.org/10.48550/arXiv.2406.01407

• Meierhofer, Jürg; Stucki, Melissa,

  2024.

  Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.

  asut-Bulletin.

  2024(01).

  Available from: https://asut.ch/asut/bulletin/view.xhtml?bulletinId=52&articleId=831

• Wulf, Jochen; Meierhofer, Jürg,

  2024.

  Wie LLMs die Automatisierung im Kundendienst fördern.

  ServiceToday.

  38(Sonderausgabe 2024), pp. 82-83.

  Available from: https://bc-production.pressmatrix.com/de/profiles/3df31a994fc2/editions/2ed85b567c8dfa546626/pages/page/42

• Wulf, Jochen; Meierhofer, Jürg,

  2023.

  Towards a taxonomy of Large Language Model based business model transformations.

  arXiv.

  Available from: https://doi.org/10.48550/arXiv.2311.05288

• Benedech, Rodolfo Andres; Vogt, Helen; Meierhofer, Jürg; Kugler, Petra; Strittmatter, Marc; Dobler, Martin; Meyer, Johanna; Treiterer, Manuel,

  2023.

  Data Sharing Framework für KMU.

  ResearchGate.

  Available from: https://www.researchgate.net/publication/376811588_Data_Sharing_Framework_fur_KMU

• Wulf, Jochen; Meierhofer, Jürg,

  2023.

  Large Language Models in Industrieunternehmen.

  Technische Rundschau.

  23(9), pp. 48-50.

  Available from: https://doi.org/10.21256/zhaw-28949

• Wulf, Jochen; Meierhofer, Jürg,

  2023.

  Pioneering a new era of automated customer service with large language models (LLMs).

  Medium.

  Available from: https://medium.com/@jocwulf/pioneering-a-new-era-of-automated-customer-service-with-large-language-models-llms-1cc4aacbeb03

• Wulf, Jochen; Meierhofer, Jürg,

  2023.

  Unlocking the business potential of large language models : real-world applications and obstacles.

  LinkedIn Pulse.

  Available from: https://www.linkedin.com/pulse/unlocking-business-potential-large-language-models-real-world-wulf/

• Meierhofer, Jürg; Stucki, Melissa,

  2023.

  Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.

  ServiceToday.

  37(1), pp. 71-72.

  Available from: https://doi.org/10.21256/zhaw-27574

• Meierhofer, Jürg; Stucki, Melissa,

  2022.

  Mit Smart Services zu mehr Nachhaltigkeit.

  KunststoffXtra .

  2022(11-12), pp. 54-56.

  Available from: https://doi.org/10.21256/zhaw-26269

• 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.

  ServiceToday.

  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.

  ServiceToday.

  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.

  34(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.

  ServiceToday.

  33(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: https://bzi40.eu/informationen/publikationen/paper/298-nutzenbasierter-digitalisierungsnavigator-wie-kmu-ihre-digitalisierungsstrategie-selbst-entwickeln-koennen

• Meierhofer, Jürg; Berliat, Roger,

  2019.

  Smart Service Innovation.

  ServiceToday.

  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.

• Meierhofer, Jürg,

  2018.

  Datenbasierte Service-Innovation.

  Spot.on Marketing.

• 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.

• Kugler, Petra; Vogt, Helen; Meierhofer, Jürg,

  2023.

  Data sharing in ecosystems : a multi-perspective view.

  In:

  8. F&E-Konferenz zu Industrie 4.0, Rotkreuz, Switzerland, 24 January 2023.

• 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

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