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Joerg Evermann
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2020 – today
- 2023
- [j28]Adela del-Río-Ortega, Iris Beerepoot, Han van der Aa, Joerg Evermann:
Call for Papers, Issue 3/2025. Bus. Inf. Syst. Eng. 65(5): 613-614 (2023) - [j27]Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann:
Preface. Data Knowl. Eng. 145: 102177 (2023) - [j26]Joerg Evermann, Jennifer Horkoff, Jeffrey Parsons, Vítor E. Silva Souza:
In Memoriam - Professor Aditya Ghose. Data Knowl. Eng. 145: 102178 (2023) - 2021
- [j25]Joerg Evermann, Henry M. Kim:
Workflow Management on Proof-of-Work Blockchains: Implications and Recommendations. SN Comput. Sci. 2(1): 44 (2021) - [e1]Aditya K. Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann:
Conceptual Modeling - 40th International Conference, ER 2021, Virtual Event, October 18-21, 2021, Proceedings. Lecture Notes in Computer Science 13011, Springer 2021, ISBN 978-3-030-89021-6 [contents] - 2020
- [j24]Nijat Mehdiyev, Joerg Evermann, Peter Fettke:
A Novel Business Process Prediction Model Using a Deep Learning Method. Bus. Inf. Syst. Eng. 62(2): 143-157 (2020) - [j23]Joerg Evermann, Henry M. Kim:
Workflow Management on BFT Blockchains. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 14:1-14:22 (2020) - [c46]Joerg Evermann:
Adapting Workflow Management Systems to BFT Blockchains - The YAWL Example. EDOC Workshops 2020: 27-36 - [i5]Joerg Evermann:
Adapting Workflow Management Systems to BFT Blockchains - The YAWL Example. CoRR abs/2006.05808 (2020)
2010 – 2019
- 2019
- [i4]Joerg Evermann, Henry M. Kim:
Workflow Management on the Blockchain - Implications and Recommendations. CoRR abs/1904.01004 (2019) - [i3]Joerg Evermann, Henry M. Kim:
Workflow Management on BFT Blockchains. CoRR abs/1905.12652 (2019) - 2017
- [j22]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting process behaviour using deep learning. Decis. Support Syst. 100: 129-140 (2017) - [c45]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. CAiSE-Forum-DC 2017: 41-48 - [c44]Nijat Mehdiyev, Joerg Evermann, Peter Fettke:
A Multi-stage Deep Learning Approach for Business Process Event Prediction. CBI (1) 2017: 119-128 - [i2]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. CoRR abs/1705.01507 (2017) - 2016
- [j21]Joerg Evermann:
Scalable Process Discovery Using Map-Reduce. IEEE Trans. Serv. Comput. 9(3): 469-481 (2016) - [c43]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
A Deep Learning Approach for Predicting Process Behaviour at Runtime. Business Process Management Workshops 2016: 327-338 - [c42]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Process Discovery from Event Stream Data in the Cloud - A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure. CloudCom 2016: 645-652 - [i1]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting Process Behaviour using Deep Learning. CoRR abs/1612.04600 (2016) - 2015
- [j20]Mary Tate, Elfi Furtmueller, Joerg Evermann, Wasana Bandara:
Introduction to the Special Issue: The Literature Review in Information Systems. Commun. Assoc. Inf. Syst. 37: 5 (2015) - [j19]Elie Raad, Joerg Evermann:
The role of analogy in ontology alignment: A study on LISA. Cogn. Syst. Res. 33: 1-16 (2015) - [j18]Mary Tate, Joerg Evermann, Guy Gable:
An integrated framework for theories of individual attitudes toward technology. Inf. Manag. 52(6): 710-727 (2015) - [j17]Jennifer Jewer, Joerg Evermann:
Enhancing Learning Outcomes through Experiential Learning: Using Open-Source Systems to Teach Enterprise Systems and Business Process Management. J. Inf. Syst. Educ. 26(3): 187-202 (2015) - [c41]Joerg Evermann, Tom Thaler, Peter Fettke:
Clustering Traces Using Sequence Alignment. Business Process Management Workshops 2015: 179-190 - [c40]Roman Lukyanenko, Joerg Evermann, Jeffrey Parsons:
Guidelines for Establishing Instantiation Validity in IT Artifacts: A Survey of IS Research. DESRIST 2015: 430-438 - 2014
- [j16]Joerg Evermann, Mary Tate:
Bayesian Structural Equation Models for Cumulative Theory Building in Information Systems - A Brief Tutorial Using BUGS and R. Commun. Assoc. Inf. Syst. 34: 76 (2014) - [j15]Palash Bera, Joerg Evermann:
Guidelines for using UML association classes and their effect on domain understanding in requirements engineering. Requir. Eng. 19(1): 63-80 (2014) - [c39]Jennifer Jewer, Joerg Evermann:
Experiential Learning with an Open-Source Enterprise System. AMCIS 2014 - [c38]Roman Lukyanenko, Joerg Evermann, Jeffrey Parsons:
Instantiation Validity in IS Design Research. DESRIST 2014: 321-328 - [c37]Joerg Evermann, Mary Tate:
Comparing Out-of-Sample Predictive Ability of PLS, Covariance, and Regression Models. ICIS 2014 - [c36]Elie Raad, Joerg Evermann:
Is ontology alignment like analogy?: knowledge integration with LISA. SAC 2014: 294-301 - [c35]Joerg Evermann, Ghazal Assadipour:
Big data meets process mining: implementing the alpha algorithm with map-reduce. SAC 2014: 1414-1416 - 2013
- [c34]Muhammad Nasir, Orland Hoeber, Joerg Evermann:
Supporting Ontology Alignment Tasks with Edge Bundling. I-KNOW 2013: 11:1-11:8 - [c33]Joerg Evermann, Mary Furey, Terry Hussey:
Using YAWL in a Business Undergraduate Course on Process Management: An Experience Report. YAWL Symposium 2013: 1-9 - [c32]Joerg Evermann:
Developing a Realistic Workflow Management Environment for Teaching: An Interface from YAWL to OpenERP. YAWL Symposium 2013: 10-17 - 2012
- [c31]Joerg Evermann:
Applying Cognitive Principles of Similarity to Data Integration - The Case of SIAM. AMCIS 2012 - [c30]Joerg Evermann, Mary Tate:
Bayesian Structural Equation Models for Cumulative Theory Building in Information Systems. AMCIS 2012 - [c29]Joerg Evermann, Mary Tate:
An Ontology of Structural Equation Models with Application to Computer Self-Efficacy. ICIS 2012 - [c28]Joerg Evermann, Mary Tate:
A Note of Caution on Covariance-Equivalent Models in Information Systems. ICIS 2012 - [c27]Joerg Evermann, Mary Tate:
Comparing the Predictive Ability of PLS and Covariance Models. ICIS 2012 - 2011
- [j14]Joerg Evermann, Mary Tate:
Fitting Covariance Models for Theory Generation. J. Assoc. Inf. Syst. 12(9): 2 (2011) - [c26]Roman Lukyanenko, Joerg Evermann:
A Survey of Cognitive Theories to Support Data Integration. AMCIS 2011 - [c25]Joerg Evermann, Adrian Fiech, Farhana Eva Alam:
A platform-independent UML profile for aspect-oriented development. C3S2E 2011: 25-34 - [c24]Joerg Evermann, Ivan Porres:
Doctoral Symposium at MoDELS 2011. MoDELS (Workshops) 2011: 1-3 - 2010
- [j13]Joerg Evermann, Jennifer Fang:
Evaluating ontologies: Towards a cognitive measure of quality. Inf. Syst. 35(4): 391-403 (2010) - [c23]Joerg Evermann:
Contextual Factors in Database Integration - A Delphi Study. ER 2010: 274-287 - [c22]Joerg Evermann, Mary Tate:
Testing Models or Fitting Models? Identifying Model Misspecification in PLS. ICIS 2010: 21 - [c21]Brian Dobing, Joerg Evermann, Jeffrey Parsons:
Understanding the Adoption of Use Case Narratives in the Unified Modeling Language. ICIS 2010: 99
2000 – 2009
- 2009
- [j12]Joerg Evermann:
Theories of meaning in schema matching: An exploratory study. Inf. Syst. 34(1): 28-44 (2009) - [j11]Joerg Evermann, Yair Wand:
Ontology Based Object-Oriented Domain Modeling: Representing Behavior. J. Database Manag. 20(1): 48-77 (2009) - [j10]Joerg Evermann:
A UML and OWL description of Bunge's upper-level ontology model. Softw. Syst. Model. 8(2): 235-249 (2009) - [c20]Joerg Evermann:
Structural Equation Models in IS Theory and Measurement. AMCIS 2009: 83 - [c19]Mary Tate, Joerg Evermann:
Descendents of ServQual in Online Services Research: The End of the Line? AMCIS 2009: 607 - [c18]Farhana Eva Alam, Joerg Evermann, Adrian Fiech:
Modeling for dynamic aspect-oriented evelopment. C3S2E 2009: 143-147 - [c17]Mary Tate, Joerg Evermann:
Perceptive Users with Attitudes - Some Hueristics on Theorizing. ICIS 2009: 139 - [c16]Joerg Evermann, Mary Tate:
Constructs in the Mist: The Lost World of the IT Artifact. ICIS 2009: 183 - [c15]Joerg Evermann, Mary Tate:
Building Theory from Quantitative Studies, or, How to Fit SEM Models. ICIS 2009: 192 - [p1]Joerg Evermann:
Theories of Meaning in Schema Matching. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 282-308 - 2008
- [j9]Joerg Evermann:
Theories of Meaning in Schema Matching: A Review. J. Database Manag. 19(3): 55-82 (2008) - [j8]Joerg Evermann:
A cognitive semantics for the association construct. Requir. Eng. 13(3): 167-186 (2008) - [j7]Joerg Evermann:
An Exploratory Study of Database Integration Processes. IEEE Trans. Knowl. Data Eng. 20(1): 99-115 (2008) - [c14]Mary Tate, Joerg Evermann, Beverley G. Hope:
Old Theory and New Service Quality: An Exploratory Study of the Nature and Nomological Net of Online Service Quality and Continuing Use using Information Systems Theory. ACIS 2008 - [c13]Joerg Evermann, Riddhi Mistry:
System Analysis as Scientific Inquiry. AMCIS 2008: 154 - [c12]Joerg Evermann, Haidir Hallimi:
Associations and Mutual Properties - An Experimental Assessment. AMCIS 2008: 155 - 2007
- [j6]Henry M. Kim, Arijit Sengupta, Joerg Evermann:
MOQ: Web services ontologies for QoS and general quality evaluations. Int. J. Metadata Semant. Ontologies 2(3): 195-200 (2007) - [j5]Joerg Evermann:
A Meta-Level Specification and Profile for AspectJ in UML. J. Object Technol. 6(7): 27-49 (2007) - [c11]Ashley A. Bush, Joerg Evermann:
Boundaries and Knowledge Contribution in Interorganizational Relationships: A Social Capital Perspective. AMCIS 2007: 458 - [c10]Joerg Evermann:
Investigating Data Integration Using Sequence Analysis and Process Tracking. AMCIS 2007: 479 - [c9]Joerg Evermann:
A meta-level specification and profile for AspectJ in UML. AOM@AOSD 2007: 21-27 - [c8]Jennifer Fang, Joerg Evermann:
Evaluating Ontologies: Towards a Cognitive Measure of Quality. EDOCW 2007: 109-116 - [c7]Mary Tate, Joerg Evermann, Beverley G. Hope, Stuart J. Barnes:
Perceived Service Quality in a University Web Portal: Revising the E-Qual Instrument. HICSS 2007: 147 - [c6]Mary Tate, Beverley G. Hope, Joerg Evermann, Stuart J. Barnes:
Perceived Online Service Quality: Latent Dimensions and Ontological Implications. PACIS 2007: 92 - 2006
- [j4]Joerg Evermann, Yair Wand:
Ontological Modeling Rules for UML: An Empirical Assessment. J. Comput. Inf. Syst. 46(5): 14-29 (2006) - [c5]Joerg Evermann:
Organizational Paradigms and Organizational Modeling. BUSITAL 2006 - 2005
- [j3]Joerg Evermann:
Towards a cognitive foundation for knowledge representation. Inf. Syst. J. 15(2): 147-178 (2005) - [j2]Joerg Evermann, Yair Wand:
Ontology based object-oriented domain modelling: fundamental concepts. Requir. Eng. 10(2): 146-160 (2005) - [j1]Joerg Evermann, Yair Wand:
Toward Formalizing Domain Modeling Semantics in Language Syntax. IEEE Trans. Software Eng. 31(1): 21-37 (2005) - [c4]Joerg Evermann:
The Association Construct in Conceptual Modelling - An Analysis Using the Bunge Ontological Model. CAiSE 2005: 33-47 - [c3]Joerg Evermann:
Natural-Language Semantics for Associations. CAiSE Short Paper Proceedings 2005 - [c2]Henry M. Kim, Arijit Sengupta, Joerg Evermann:
MOQ: Web Services Ontologies for QOS and General Quality Evaluations. ECIS 2005: 1539-1548 - 2001
- [c1]Joerg Evermann, Yair Wand:
Towards Ontologically Based Semantics for UML Constructs. ER 2001: 354-367
Coauthor Index
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