IDEAS home Printed from https://ideas.repec.org/a/zbw/hsgmrs/276118.html
   My bibliography  Save this article

Wie man Hypes antizipiert und für sich nutzen kann - Die Additive Fertigung bei KSB

Author

Listed:
  • Stieler, Maximilian
  • Munk, Alexander

Abstract

Der Pumpen- und Armaturenhersteller KSB SE & Co. KGaA (KSB) hat durch seine frühzeitigen Aktivitäten im Bereich der Technologiebewertung den Hype um den "3D-Druck" antizipiert, diesen regelmässig bewertet und letztendlich vorhandene Ressourcen im Unternehmen genutzt, um daraus einen Wettbewerbsvorteil auf dem Gebiet der Additiven Fertigung von Metallen zu schaffen.

Suggested Citation

  • Stieler, Maximilian & Munk, Alexander, 2020. "Wie man Hypes antizipiert und für sich nutzen kann - Die Additive Fertigung bei KSB," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 37(6), pages 46-53.
    • Handle: RePEc:zbw:hsgmrs:276118
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/276118/1/MRSG_2020_6_46-53.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun, Seung-Pyo & Yeom, Jaeho & Son, Jong-Ku, 2014. "A study of the method using search traffic to analyze new technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 82-95.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    2. Takahashi, Carlos Kazunari & Figueiredo, Júlio César Bastos de & Scornavacca, Eusebio, 2024. "Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Jun, Seung-Pyo & Park, Do-Hyung, 2016. "Consumer information search behavior and purchasing decisions: Empirical evidence from Korea," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 97-111.
    4. Jun, Seung-Pyo & Yoo, Hyoung Sun & Lee, Jae-Seong, 2021. "The impact of the pandemic declaration on public awareness and behavior: Focusing on COVID-19 google searches," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    6. Jun, Seung-Pyo & Park, Do-Hyung & Yeom, Jaeho, 2014. "The possibility of using search traffic information to explore consumer product attitudes and forecast consumer preference," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 237-253.
    7. Malyy, Maksim & Tekic, Zeljko & Podladchikova, Tatiana, 2021. "The value of big data for analyzing growth dynamics of technology-based new ventures," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    8. Elodie Attié & Lars Meyer-Waarden, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Post-Print hal-04065165, HAL.
    9. Min-Seung Kim & Chan-Ho Lee & Ji-Hye Choi & Yong-Ju Jang & Jeong-Hee Lee & Jaesik Lee & Tae-Eung Sung, 2021. "A Study on Intelligent Technology Valuation System: Introduction of KIBO Patent Appraisal System II," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    10. Dedehayir, Ozgur & Steinert, Martin, 2016. "The hype cycle model: A review and future directions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 28-41.
    11. Jun, Seung-Pyo & Yoo, Hyoung Sun & Kim, Ji-Hui, 2016. "A study on the effects of the CAFE standard on consumers," Energy Policy, Elsevier, vol. 91(C), pages 148-160.
    12. Mirzadeh Phirouzabadi, Amir & Blackmore, Karen & Savage, David & Juniper, James, 2022. "Modelling and simulating a multi-modal and multi-dimensional technology interaction framework: The case of vehicle powertrain technologies in the US market," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    14. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Jun, Seung-Pyo & Sung, Tae-Eung & Park, Hyun-Woo, 2017. "Forecasting by analogy using the web search traffic," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 37-51.
    16. Erdmann, Anett & Ponzoa, José M., 2021. "Digital inbound marketing: Measuring the economic performance of grocery e-commerce in Europe and the USA," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    17. Dhar, Suparna & Tarafdar, Pratik & Bose, Indranil, 2022. "Understanding the evolution of an emerging technological paradigm and its impact: The case of Digital Twin," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hsgmrs:276118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://imc.unisg.ch/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.