IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v9y2015i1p115-135.html
   My bibliography  Save this article

A chance discovery-based approach for new product–service system (PSS) concepts

Author

Listed:
  • Hyunseok Park
  • Janghyeok Yoon

Abstract

As a product–service system (PSS) attracts much attention as an alternative for sustainable development, studies have suggested ways to support the PSS development process. Despite the growing interest of PSS, however, little attention has been paid to generating PSS concepts from large-scale customer behaviors, situations, and relevant needs (BSNs) regarding a product. Although understanding customer BSNs comprehensively is the most prerequisite and fundamental in PSS development, the previous literature assumes that the identification of customer BSNs is completed or imputed to manual and intrinsic tasks by experts, such as customer surveys and interviews, which may be time-consuming and costly. Therefore, this paper proposes an approach to identifying new PSS concepts by combining the chance discovery theory and text mining of Web news. The approach helps PSS designers identify significant customer BSNs from massive news data over a wide-scope regarding a given product, and it facilitates PSS designers to ideate about PSS scenarios and concepts efficiently by providing breaking events which can act as PSS chances. To illustrate the working process of our approach, a case using Web news of electric bicycles is introduced. The proposed approach will contribute to the ideation process for new PSS concepts; it further holds the potential to create a synergetic effect in case of being incorporated into the existing PSS development methodologies. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Hyunseok Park & Janghyeok Yoon, 2015. "A chance discovery-based approach for new product–service system (PSS) concepts," Service Business, Springer;Pan-Pacific Business Association, vol. 9(1), pages 115-135, March.
    • Handle: RePEc:spr:svcbiz:v:9:y:2015:i:1:p:115-135
    DOI: 10.1007/s11628-013-0222-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11628-013-0222-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11628-013-0222-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yukio Ohsawa, 2005. "Data Crystallization: Chance Discovery Extended For Dealing With Unobservable Events," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(03), pages 373-392.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joohyung Lim & Sungchul Choi & Chiehyeon Lim & Kwangsoo Kim, 2017. "SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    2. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
    3. Salman Alfarisi & Yuya Mitake & Yusuke Tsutsui & Hanfei Wang & Yoshiki Shimomura, 2023. "Nurture: A Novel Approach to PSS-Rebound Effect Identification," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
    4. Min-Jun Kim & Chie-Hyeon Lim & Chang-Ho Lee & Kwang-Jae Kim & Yongsung Park & Seunghwan Choi, 2018. "Approach to service design based on customer behavior data: a case study on eco-driving service design using bus drivers’ behavior data," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 203-227, March.
    5. Shiu-Li Huang & Ming-Yen Kuo, 2020. "Critical success factors in the sharing economy: a customer perspective," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 553-576, December.
    6. Choi, Jaewoong & Oh, Seunghyun & Yoon, Janghyeok & Lee, Jae-Min & Coh, Byoung-Youl, 2020. "Identification of time-evolving product opportunities via social media mining," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    7. Sunghyun Nam & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2021. "Identifying Service Opportunities Based on Outcome-Driven Innovation Framework and Deep Learning: A Case Study of Hotel Service," Sustainability, MDPI, vol. 13(1), pages 1-25, January.
    8. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
    9. Jaehun Joo & Azizbek Marakhimov, 2018. "Antecedents of customer participation in business ecosystems: evidence of customers’ psychological ownership in Facebook," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 1-23, March.
    10. Tomohiko Sakao & Abhijna Neramballi, 2020. "A Product/Service System Design Schema: Application to Big Data Analytics," Sustainability, MDPI, vol. 12(8), pages 1-22, April.

    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. Kung Wanchia & Jia Yufei & Yu Hsinchun, 2020. "Discovering Emerging Financial Technological Chances of Investment Management in China via Patent Data," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 5(1), pages 1-8.

    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:spr:svcbiz:v:9:y:2015:i:1:p:115-135. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.