Towards Ontologically Based Semantics for UML Constructs. - Joerg Evermann; Yair Wand (ER, 2001)

The Association Construct in Conceptual Modelling - An Analysis Using the Bunge Ontological Model. - Joerg Evermann (CAiSE, 2005)

Natural-Language Semantics for Associations. - Joerg Evermann (CAiSE Short Paper Proceedings, 2005)

Towards a cognitive foundation for knowledge representation. - Joerg Evermann (Inf. Syst. J., 2005)

Ontology based object-oriented domain modelling: fundamental concepts. - Joerg Evermann; Yair Wand (Requir. Eng., 2005)

Toward Formalizing Domain Modeling Semantics in Language Syntax. - Joerg Evermann; Yair Wand (IEEE Trans. Software Eng., 2005)

Organizational Paradigms and Organizational Modeling. - Joerg Evermann (BUSITAL, 2006)

Ontological Modeling Rules for UML: An Empirical Assessment. - Joerg Evermann; Yair Wand (J. Comput. Inf. Syst., 2006)

Boundaries and Knowledge Contribution in Interorganizational Relationships: A Social Capital Perspective. - Ashley A. Bush; Joerg Evermann (AMCIS, 2007)

Investigating Data Integration Using Sequence Analysis and Process Tracking. - Joerg Evermann (AMCIS, 2007)

Perceived Service Quality in a University Web Portal: Revising the E-Qual Instrument. - Mary Tate; Joerg Evermann; Beverley G. Hope; Stuart J. Barnes (HICSS, 2007)

Perceived Online Service Quality: Latent Dimensions and Ontological Implications. - Mary Tate; Beverley G. Hope; Joerg Evermann; Stuart J. Barnes (PACIS, 2007)

MOQ: Web services ontologies for QoS and general quality evaluations. - Henry M. Kim; Arijit Sengupta; Joerg Evermann (Int. J. Metadata Semant. Ontologies, 2007)

A Meta-Level Specification and Profile for AspectJ in UML. - Joerg Evermann (J. Object Technol., 2007)

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. - Mary Tate; Joerg Evermann; Beverley G. Hope (ACIS, 2008)

Associations and Mutual Properties - An Experimental Assessment. - Joerg Evermann; Haidir Hallimi (AMCIS, 2008)

System Analysis as Scientific Inquiry. - Joerg Evermann; Riddhi Mistry (AMCIS, 2008)

Theories of Meaning in Schema Matching: A Review. - Joerg Evermann (J. Database Manag., 2008)

A cognitive semantics for the association construct. - Joerg Evermann (Requir. Eng., 2008)

An Exploratory Study of Database Integration Processes. - Joerg Evermann (IEEE Trans. Knowl. Data Eng., 2008)

Theories of Meaning in Schema Matching. - Joerg Evermann (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Structural Equation Models in IS Theory and Measurement. - Joerg Evermann (AMCIS, 2009)

Descendents of ServQual in Online Services Research: The End of the Line? - Mary Tate; Joerg Evermann (AMCIS, 2009)

Modeling for dynamic aspect-oriented evelopment. - Farhana Eva Alam; Joerg Evermann; Adrian Fiech (C3S2E, 2009)

Constructs in the Mist: The Lost World of the IT Artifact. - Joerg Evermann; Mary Tate (ICIS, 2009)

Building Theory from Quantitative Studies, or, How to Fit SEM Models. - Joerg Evermann; Mary Tate (ICIS, 2009)

Perceptive Users with Attitudes - Some Hueristics on Theorizing. - Mary Tate; Joerg Evermann (ICIS, 2009)

Theories of meaning in schema matching: An exploratory study. - Joerg Evermann (Inf. Syst., 2009)

Ontology Based Object-Oriented Domain Modeling: Representing Behavior. - Joerg Evermann; Yair Wand (J. Database Manag., 2009)

A UML and OWL description of Bunge's upper-level ontology model. - Joerg Evermann (Softw. Syst. Model., 2009)

Contextual Factors in Database Integration - A Delphi Study. - Joerg Evermann (ER, 2010)

Understanding the Adoption of Use Case Narratives in the Unified Modeling Language. - Brian Dobing; Joerg Evermann; Jeffrey Parsons (ICIS, 2010)

Testing Models or Fitting Models? Identifying Model Misspecification in PLS. - Joerg Evermann; Mary Tate (ICIS, 2010)

Evaluating ontologies: Towards a cognitive measure of quality. - Joerg Evermann; Jennifer Fang (Inf. Syst., 2010)

A Survey of Cognitive Theories to Support Data Integration. - Roman Lukyanenko; Joerg Evermann (AMCIS, 2011)

A platform-independent UML profile for aspect-oriented development. - Joerg Evermann; Adrian Fiech; Farhana Eva Alam (C3S2E, 2011)

Doctoral Symposium at MoDELS 2011. - Joerg Evermann; Ivan Porres (MoDELS (Workshops), 2011)

Fitting Covariance Models for Theory Generation. - Joerg Evermann; Mary Tate (J. Assoc. Inf. Syst., 2011)

Applying Cognitive Principles of Similarity to Data Integration - The Case of SIAM. - Joerg Evermann (AMCIS, 2012)

Bayesian Structural Equation Models for Cumulative Theory Building in Information Systems. - Joerg Evermann; Mary Tate (AMCIS, 2012)

An Ontology of Structural Equation Models with Application to Computer Self-Efficacy. - Joerg Evermann; Mary Tate (ICIS, 2012)

A Note of Caution on Covariance-Equivalent Models in Information Systems. - Joerg Evermann; Mary Tate (ICIS, 2012)

Comparing the Predictive Ability of PLS and Covariance Models. - Joerg Evermann; Mary Tate (ICIS, 2012)

Supporting Ontology Alignment Tasks with Edge Bundling. - Muhammad Nasir; Orland Hoeber; Joerg Evermann (I-KNOW, 2013)

Developing a Realistic Workflow Management Environment for Teaching: An Interface from YAWL to OpenERP. - Joerg Evermann (YAWL Symposium, 2013)

Using YAWL in a Business Undergraduate Course on Process Management: An Experience Report. - Joerg Evermann; Mary Furey; Terry Hussey (YAWL Symposium, 2013)

Experiential Learning with an Open-Source Enterprise System. - Jennifer Jewer; Joerg Evermann (AMCIS, 2014)

Instantiation Validity in IS Design Research. - Roman Lukyanenko; Joerg Evermann; Jeffrey Parsons (DESRIST, 2014)

Comparing Out-of-Sample Predictive Ability of PLS, Covariance, and Regression Models. - Joerg Evermann; Mary Tate (ICIS, 2014)

Big data meets process mining: implementing the alpha algorithm with map-reduce. - Joerg Evermann; Ghazal Assadipour (SAC, 2014)

Is ontology alignment like analogy?: knowledge integration with LISA. - Elie Raad; Joerg Evermann (SAC, 2014)

Bayesian Structural Equation Models for Cumulative Theory Building in Information Systems - A Brief Tutorial Using BUGS and R. - Joerg Evermann; Mary Tate (Commun. Assoc. Inf. Syst., 2014)

Guidelines for using UML association classes and their effect on domain understanding in requirements engineering. - Palash Bera; Joerg Evermann (Requir. Eng., 2014)

Clustering Traces Using Sequence Alignment. - Joerg Evermann; Tom Thaler; Peter Fettke (Business Process Management Workshops, 2015)

Guidelines for Establishing Instantiation Validity in IT Artifacts: A Survey of IS Research. - Roman Lukyanenko; Joerg Evermann; Jeffrey Parsons (DESRIST, 2015)

Introduction to the Special Issue: The Literature Review in Information Systems. - Mary Tate; Elfi Furtmueller; Joerg Evermann; Wasana Bandara (Commun. Assoc. Inf. Syst., 2015)

The role of analogy in ontology alignment: A study on LISA. - Elie Raad; Joerg Evermann (Cogn. Syst. Res., 2015)

An integrated framework for theories of individual attitudes toward technology. - Mary Tate; Joerg Evermann; Guy Gable (Inf. Manag., 2015)

Enhancing Learning Outcomes through Experiential Learning: Using Open-Source Systems to Teach Enterprise Systems and Business Process Management. - Jennifer Jewer; Joerg Evermann (J. Inf. Syst. Educ., 2015)

A Deep Learning Approach for Predicting Process Behaviour at Runtime. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (Business Process Management Workshops, 2016)

Process Discovery from Event Stream Data in the Cloud - A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (CloudCom, 2016)

Scalable Process Discovery Using Map-Reduce. - Joerg Evermann (IEEE Trans. Serv. Comput., 2016)

XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (CAiSE-Forum-DC, 2017)

A Multi-stage Deep Learning Approach for Business Process Event Prediction. - Nijat Mehdiyev; Joerg Evermann; Peter Fettke (CBI (1), 2017)

Predicting process behaviour using deep learning. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (Decis. Support Syst., 2017)

Workflow Management on the Blockchain - Implications and Recommendations. - Joerg Evermann; Henry M. Kim (CoRR, 2019)

Adapting Workflow Management Systems to BFT Blockchains - The YAWL Example. - Joerg Evermann (EDOC Workshops, 2020)

A Novel Business Process Prediction Model Using a Deep Learning Method. - Nijat Mehdiyev; Joerg Evermann; Peter Fettke (Bus. Inf. Syst. Eng., 2020)

Workflow Management on BFT Blockchains. - Joerg Evermann; Henry M. Kim (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2020)

Workflow Management on Proof-of-Work Blockchains: Implications and Recommendations. - Joerg Evermann; Henry M. Kim (SN Comput. Sci., 2021)

In Memoriam - Professor Aditya Ghose. - Joerg Evermann; Jennifer Horkoff; Jeffrey Parsons; Vítor E. Silva Souza (Data Knowl. Eng., 2023)

Preface. - Aditya Ghose; Jennifer Horkoff; Vítor E. Silva Souza; Jeffrey Parsons; Joerg Evermann (Data Knowl. Eng., 2023)

Call for Papers, Issue 3/2025. - Adela del-Río-Ortega; Iris Beerepoot; Han van der Aa; Joerg Evermann (Bus. Inf. Syst. Eng., 2023)