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2020 | OriginalPaper | Buchkapitel

Measuring Successful Digital Services by Identifying Active Users

verfasst von : Sarwar Jahan Morshed, Juwel Rana, Marcelo Milrad

Erschienen in: Artificial Intelligence for Knowledge Management

Verlag: Springer International Publishing

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Abstract

This paper is an extended version of the work published in [1]. We extended our previous work by the proposed model representation and more experimental result. Almost every service in the current era are either managed or operated with the help of digital services to manage their customer’s activities. So digital service providers are engaging in different ways with the users to know their feedback about the service. Traditional methods for understanding user satisfaction from their direct feedback or survey. Both of these methods might produce biased result due the limited user participations. Therefore, knowledge management of user activities with the digital service could be an alternative approach for identifying satisfied users. In the previous work [1], we have presented a data science model. In this paper, more result using the proposed data science model have been presented to prove that the proposed model is workable to measure successful digital services.

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Metadaten
Titel
Measuring Successful Digital Services by Identifying Active Users
verfasst von
Sarwar Jahan Morshed
Juwel Rana
Marcelo Milrad
Copyright-Jahr
2020
Buch
Artificial Intelligence for Knowledge Management

Print ISBN: 978-3-030-52902-4

Electronic ISBN: 978-3-030-52903-1

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-52903-1_5

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