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Träfflista för sökning "WFRF:(Bergvall Kåreborn Birgitta) ;srt2:(2015-2019);pers:(Rizk Aya)"

Sökning: WFRF:(Bergvall Kåreborn Birgitta) > (2015-2019) > Rizk Aya

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1.
  • Rizk, Aya, et al. (författare)
  • Digital Service Innovation Enabled by Big Data Analytics : A Review and the Way Forward
  • 2017
  • Ingår i: Proceedings of the 50th Hawaii International Conference on System Sciences 2017. - : University of Hawai'i at Manoa. - 9780998133102 ; , s. 1247-1256
  • Konferensbidrag (refereegranskat)abstract
    • Service innovation is attracting attention with the expanding service industries and economies. Accompanied by major developments in ICT and sensory and digital technologies, the interest in digital service innovation (DSI), both from academia and industry, is increasing. Digitization and the accompanying technological advancements are leading to phenomena that call for extensive research in relation to service innovation; one of which is big data analytics (BDA). In this paper, we review the DSI literature and explore how BDA can contribute along the different dimensions of DSI. The ex post literature suffers from the lack of such studies. Accordingly, we suggest a research agenda for BDA-enabled DSI, motivated by emerging research gaps, as well as opportunities and guiding research questions. It is expected that such research agenda will contribute to shape an ex ante research efforts in an attempt to advance the state-of-the-art in BDA-enabled DSI.
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2.
  • Rizk, Aya, 1988-, et al. (författare)
  • Towards A Taxonomy of Data-driven Digital Services
  • 2018
  • Konferensbidrag (refereegranskat)abstract
    • Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.
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  • Resultat 1-2 av 2
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konferensbidrag (2)
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refereegranskat (2)
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Elragal, Ahmed (2)
Bergvall-Kåreborn, B ... (2)
Rizk, Aya, 1988- (1)
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Luleå tekniska universitet (2)
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Engelska (2)
Forskningsämne (UKÄ/SCB)
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Naturvetenskap (1)

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