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Towards a Smarter organization for a Self-servicing Society

Published: 01 December 2016 Publication History

Abstract

Traditional social organizations such as those for the management of healthcare are the result of designs that matched well with an operational context considerably different from the one we are experiencing today. The new context reveals all the fragility of our societies. In this paper, a platform is introduced by combining social-oriented communities and complex-event processing concepts: SELFSERV. Its aim is to complement the "old recipes" with smarter forms of social organization based on the self-service paradigm and by exploring culture-specific aspects and technological challenges.

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Cited By

View all
  • (2021)SmartHealth: IoT-Enabled Context-Aware 5G Ambient Cloud PlatformIoT in Healthcare and Ambient Assisted Living10.1007/978-981-15-9897-5_3(43-67)Online publication date: 5-Jan-2021
  • (2020)IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare DataInternational Journal of Distributed Systems and Technologies10.4018/IJDST.201910010210:4(17-30)Online publication date: 1-Oct-2020
  • (2019)Comparative Study of Batch and Stream Learning for Online Smartphone-based Human Activity RecognitionInnovations in Smart Cities Applications Edition 210.1007/978-3-030-11196-0_47(557-571)Online publication date: 7-Feb-2019
  • Show More Cited By

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Information

Published In

cover image ACM Other conferences
DSAI '16: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
December 2016
440 pages
ISBN:9781450347488
DOI:10.1145/3019943
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2016

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Author Tags

  1. Self-service paradigm
  2. complex event processing
  3. health services
  4. service-dominant logic
  5. service-oriented communities

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  • Research-article
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  • Refereed limited

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DSAI 2016

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Overall Acceptance Rate 17 of 23 submissions, 74%

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Cited By

View all
  • (2021)SmartHealth: IoT-Enabled Context-Aware 5G Ambient Cloud PlatformIoT in Healthcare and Ambient Assisted Living10.1007/978-981-15-9897-5_3(43-67)Online publication date: 5-Jan-2021
  • (2020)IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare DataInternational Journal of Distributed Systems and Technologies10.4018/IJDST.201910010210:4(17-30)Online publication date: 1-Oct-2020
  • (2019)Comparative Study of Batch and Stream Learning for Online Smartphone-based Human Activity RecognitionInnovations in Smart Cities Applications Edition 210.1007/978-3-030-11196-0_47(557-571)Online publication date: 7-Feb-2019
  • (2018)GPU and Data Stream Learning Approaches for Online Smartphone-based Human Activity RecognitionProceedings of the 3rd International Conference on Smart City Applications10.1145/3286606.3286801(1-7)Online publication date: 10-Oct-2018
  • (2017)On the use of IoT and Big Data Technologies for Real-time Monitoring and Data ProcessingProcedia Computer Science10.1016/j.procs.2017.08.281113(429-434)Online publication date: 2017
  • (2017)Systems, Resilience, and Organization: Analogies and Points of Contact with Hierarchy TheoryProcedia Computer Science10.1016/j.procs.2017.05.430109(935-942)Online publication date: 2017
  • (undefined)Towards an IoT and Big Data Analytics Platform for the Definition of Diabetes Telecare ServicesSSRN Electronic Journal10.2139/ssrn.3186346

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