Lecture Notes in Business Information Processing
By J. Smedt, Claudio Di Ciccio, Jan Vanthienen, Jan Mendling. Web, 2017
402 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/c1b8571e177189a9076c2c7186a535084af6fa1c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Information Systems
- Diogo R. Ferreira
- Ghulam Mustafa
- Álvaro Rebuge
- John Paul Kawalek
- Niraj Kumar
- Deepak Arunachalam
- Zhendong Niu
- John K. Tarus
In Management Information Systems
Citations in the corpus
- Business process analysis in healthcare environments: A methodology based on process mining (2012, methodology): “The Trace Clustering plug-in [36] offers a set of distance-based clustering techniques based on the features of each trace, such as how frequently the tasks occur in the trace, or how many events were created by the originators in that trace.”
- Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice (2017, background): “While there are a few literature review papers (Mishra et al., 2016; Wamba et al., 2015; Donovan et al., 2015; Wamba and Akter, 2015) linking BDA and SCM, these reviews have not discussed BDA capabilities in supply chain context.”
- The Role of Leadership in a Digitalized World: A Review (2019, neutral): “To avoid IT project failures, CEOs need to facilitate the recognition of the CIO’s role, as well as promote collaboration between the CIO and other top managers (Bygstad et al., 2017).”
- Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning (2017, background): “Similarity between two items i and j is calculated as follows: sim(i, j) = ∑ (ru,i − ru)(ru, j − ru) √∑ (ru,i − ru)2 √∑ (ru, j − ru)2 (1) where ru,i is the rating given to item i by user u, ru is the mean rating of all the ratings provided by u (Jannach et al. 2011, p. 19).”