A method for identifying customer orientations and requirements for product-service systems design
Year of publication: |
1-15 April 2018
|
---|---|
Authors: | Shimomura, Yoshiki ; Nemoto, Yutaro ; Ishii, Takatoshi ; Nakamura, Toshiyuki |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 56.2018, 7 (1/15.4.), p. 2585-2595
|
Subject: | product-service systems | customer preference | clustering | data mining | design for service | machine learning | big data | Data Mining | Data mining | Beziehungsmarketing | Relationship marketing | Künstliche Intelligenz | Artificial intelligence | Leistungsbündel | Bundling strategy | Big Data | Big data |
-
Artificial intelligence : redefining marketing management and the customer experience
McDowell Marinchak, Christina L., (2018)
-
Distributed model for customer churn prediction using convolutional neural network
Tariq, Muhammad Usman, (2022)
-
Posedel Šimović, Petra, (2023)
- More ...
-
Kato, Takashi, (1998)
-
A taxonomy of product-service system perturbations through a systematic literature review
Wang, Hanfei, (2022)
-
Proposal of the unified methodology of revenue management and service design
Watanabe, Kentaro, (2010)
- More ...