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Transforming data into information for smart services: integration of morphological analysis and text mining

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Abstract

Designing and delivering useful information for customers are crucial requirements of smart services as they influence the customer perception of the value and appeal of the service. Service information represents the results of data analysis that are delivered to customers. While the importance of transforming data into information has been recognized, the process of information design has been inadequately researched. This study introduces a methodology for transforming data into information to support smart services. The methodology is developed using morphological analysis and text mining. The proposed methodology was applied to a real-world case in smart services for vehicle operations management.

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Data availability

The data that support the findings of this study are available from the first author [minjun@kumoh.ac.kr] upon request.

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Acknowledgements

This work was supported by the National Research Foundation of Korea grant funded by the Korea government (MSIT) (No. 2022R1G1A1008312) and the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S1A5A2A03065747).

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Authors and Affiliations

  1. School of Industrial Engineering, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea

    Minjun Kim

  2. Department of Supply Chain Management and Analytics, College of Business, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA

    Silvana Trimi

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  1. Minjun Kim
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  2. Silvana Trimi
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Correspondence to Silvana Trimi.

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Kim, M., Trimi, S. Transforming data into information for smart services: integration of morphological analysis and text mining. Serv Bus 17, 257–280 (2023). https://doi.org/10.1007/s11628-023-00526-y

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