Data, information and analytics as services
By Dursun Delen, Haluk Demirkan. Decision Support Systems, 2013
401 citations recorded by the source corpus.
Subfields: Information Systems, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/e73079f9bdf1b75ec5e35f7062eef9b42a096daf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Management Information Systems
- Lian Duan
- Anita Lee-Post
- Andy Neely
- Clyde W. Holsapple
- Petros Ieromonachou
- Páll Rikhardsson
- Ogan Yigitbasioglu
- Virginia L. M. Spiegler
Citations in the corpus
- Big data for cyber physical systems in industry 4.0: a survey (2019, background): “There are many di ff erent types of data analytical methods which can be categorized into three types: descriptive analytics, predictive analytics, and prescriptive analytics (Delen and Demirkan 2013; Daniel 2015).”
- Social media big data analytics: A survey (2019, neutral): “In sum, predictive analytics leads to high bene fi ts and several strong customer relationships (Delen & Demirkan, 2013).”
- A unified foundation for business analytics (2014, background): “In brief, consider the three dimensions of domain, orientation, and technique.”
- Capturing value from big data – a taxonomy of data-driven business models used by start-up firms (2016, background): “Others suggest subdividing analytics activities into descriptive, predictive and prescriptive analytics (Delen and Demirkan, 2013).”
- Big data analytics in supply chain management: A state-of-the-art literature review (2017, methodology): “This taxonomy has been widely adopted in BDA studies as it reflects complexity of both BDA-applied problems and data analytics techniques (Delen and Demirkan, 2013; Duan and Xiong, 2015).”
- Business intelligence & analytics in management accounting research: Status and future focus (2018, background): “Research is also needed to see whether SMEs take advantage of cloud-based BI&A solutions, which are increasingly being “ ser-vitized ” (Delen and Demirkan, 2013).”