Joerg Evermann
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A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling
M Rönkkö, J Evermann
Organizational Research Methods 16 (3), 425-448, 2013
Predicting process behaviour using deep learning
J Evermann, JR Rehse, P Fettke
Decision Support Systems, 2017
Ontology based object-oriented domain modelling: fundamental concepts
J Evermann, Y Wand
Requirements Engineering 10 (2), 146-160, 2005
Assessing the predictive performance of structural equation model estimators
J Evermann, M Tate
Journal of Business Research 69 (10), 4565-4582, 2016
Towards ontologically based semantics for UML constructs
J Evermann, Y Wand
International Conference on Conceptual Modeling, 354-367, 2001
Toward formalizing domain modeling semantics in language syntax
J Evermann, Y Wand
IEEE Transactions on Software Engineering 31 (1), 21-37, 2005
A deep learning approach for predicting process behaviour at runtime
J Evermann, JR Rehse, P Fettke
International Conference on Business Process Management, 327-338, 2016
A meta-level specification and profile for AspectJ in UML
J Evermann
Proceedings of the 10th international workshop on Aspect-oriented modeling …, 2007
Towards a cognitive foundation for knowledge representation
J Evermann
Information Systems Journal 15 (2), 147-178, 2005
Evaluating ontologies: Towards a cognitive measure of quality
J Fang, J Evermann
2007 Eleventh International IEEE EDOC Conference Workshop, 109-116, 2007
Evaluating ontologies: Towards a cognitive measure of quality
J Evermann, J Fang
Information Systems 35 (4), 391-403, 2010
Ontological modeling rules for UML: An empirical assessment
J Evermann, Y Wand
Journal of Computer Information Systems 46 (5), 14-29, 2006
An integrated framework for theories of individual attitudes toward technology
M Tate, J Evermann, G Gable
Information & Management 52 (6), 710-727, 2015
A UML and OWL description of Bunge’s upper-level ontology model
J Evermann
Software & Systems Modeling 8 (2), 235-249, 2009
Introduction to the special issue: the literature review in information systems
M Tate, E Furtmueller, J Evermann, W Bandara
Communications of the Association for Information Systems 37 (1), 103-111, 2015
Instantiation validity in IS design research
R Lukyanenko, J Evermann, J Parsons
International Conference on Design Science Research in Information Systems …, 2014
A multi-stage deep learning approach for business process event prediction
N Mehdiyev, J Evermann, P Fettke
2017 IEEE 19th Conference on Business Informatics (CBI) 1, 119-128, 2017
MOQ: Web services ontologies for QoS and general quality evaluations
HM Kim, A Sengupta, J Evermann
International Journal of Metadata, Semantics and Ontologies 2 (3), 195-200, 2007
Ontology based object-oriented domain modeling: representing behavior
J Evermann, Y Wand
Journal of Database Management (JDM) 20 (1), 48-77, 2009
Perceived service quality in a university web portal: revising the e-qual instrument
M Tate, J Evermann, B Hope, S Barnes
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International …, 2007
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Articles 1–20