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

Citizen Science 2.0: Data Management Principles to Harness the Power of the Crowd. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma (DESRIST, 2011)

Unintended Consequences of Class-Based Ontological Commitment. - Roman Lukyanenko; Jeffrey Parsons (ER Workshops, 2011)

Designing recommendation agents as extensions of individual users: similarity and identification in web personalization. - Roman Lukyanenko; Sherrie Y. X. Komiak (ICIS, 2011)

Rethinking data quality as an outcome of conceptual modeling choices. - Roman Lukyanenko; Jeffrey Parsons (ICIQ, 2011)

Impact of Conceptual Modeling Approaches on Information Quality: Theory and Empirical Evidence. - Roman Lukyanenko; Jeffrey Parsons (ICIQ, 2012)

Reconciling Theories with Design Choices in Design Science Research. - Roman Lukyanenko; Jeffrey Parsons (DESRIST, 2013)

Is Traditional Conceptual Modeling Becoming Obsolete? - Roman Lukyanenko; Jeffrey Parsons (ER, 2013)

Lightweight Conceptual Modeling for Crowdsourcing. - Roman Lukyanenko; Jeffrey Parsons (ER, 2013)

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

The Impact of Conceptual Modeling on Dataset Completeness: A Field Experiment. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma (ICIS, 2014)

The IQ of the Crowd: Understanding and Improving Information Quality in Structured User-Generated Content. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma (Inf. Syst. Res., 2014)

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

Principles for Modeling User-Generated Content. - Roman Lukyanenko; Jeffrey Parsons (ER, 2015)

Extending Participatory Design Principles to Structured User-Generated Content. - Roman Lukyanenko; Jeffrey Parsons (SCIS, 2015)

Information Quality Research Challenge: Adapting Information Quality Principles to User-Generated Content. - Roman Lukyanenko; Jeffrey Parsons (ACM J. Data Inf. Qual., 2015)

Designing Information as a By-Product. - Sruthi Yaramreddy; Kyle Knight; Nitin Ram Kona; Nitin Jain; Adriana Salgado; Roman Lukyanenko (DESRIST, 2016)

Information Quality Research Challenge: Information Quality in the Age of Ubiquitous Digital Intermediation. - Roman Lukyanenko (ACM J. Data Inf. Qual., 2016)

Participatory Design for User-generated Content: Understanding the challenges and moving forward. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma; Renée Sieber; Mahed Maddah (Scand. J. Inf. Syst., 2016)

Multi-Paradigmatic Theorizing: Mixing Design and Exploration. - Alireza Amrollahi; Roman Lukyanenko; Arturo Castellanos 001 (AMCIS, 2017)

Understanding Benefits and Limitations of Unstructured Data Collection for Repurposing Organizational Data. - Arturo Castellanos 001; Alfred Castillo; Roman Lukyanenko; Monica Chiarini Tremblay (SIGSAND, 2017)

Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma; Gisela Wachinger; Benjamin Huber; Robert Meldt (J. Assoc. Inf. Syst., 2017)

Information Quality Challenges in Shared Healthcare Decision Making. - Min Chen 026; Roman Lukyanenko; Monica Chiarini Tremblay (ACM J. Data Inf. Qual., 2017)

Are All Classes Created Equal? Increasing Precision of Conceptual Modeling Grammars. - Roman Lukyanenko; Binny M. Samuel (ACM Trans. Manag. Inf. Syst., 2017)

Artifact Sampling in Experimental Conceptual Modeling Research. - Roman Lukyanenko; Jeffrey Parsons; Binny M. Samuel (ER Workshops, 2018)

Artifact Sampling: Using Multiple Information Technology Artifacts to Increase Research Rigor. - Roman Lukyanenko; Jeffrey Parsons; Binny M. Samuel (HICSS, 2018)

Rethinking the role of conceptual modeling in the introductory IS curriculum. - Roman Lukyanenko (ICIS, 2018)

Categorization: A Source of Theory and Output of Research. - Fred Niederman; Roman Lukyanenko (SIGMIS-CPR, 2018)

Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing. - Roman Lukyanenko; Jeffrey Parsons (J. Database Manag., 2018)

Using Conceptual Modeling to Support Machine Learning. - Roman Lukyanenko; Arturo Castellanos 001; Jeffrey Parsons; Monica Chiarini Tremblay; Veda C. Storey (CAiSE Forum, 2019)

Toward Creating a General Ontology for Research Validity. - Roman Lukyanenko; Kai R. Larsen; Jeffrey Parsons; David Gefen; Roland M. Müller (ER Forum/Posters/Demos, 2019)

Representing instances: the case for reengineering conceptual modelling grammars. - Roman Lukyanenko; Jeffrey Parsons; Binny M. Samuel (Eur. J. Inf. Syst., 2019)

Expecting the Unexpected: Effects of Data Collection Design Choices on the Quality of Crowdsourced User-Generated Content. - Roman Lukyanenko; Jeffrey Parsons; Yolanda F. Wiersma; Mahed Maddah (MIS Q., 2019)

A Journey to BSO: Evaluating Earlier and More Recent Ideas of Mario Bunge as a Foundation for Information Systems and Software Development. - Roman Lukyanenko (BPMDS/EMMSAD@CAiSE, 2020)

Validity in Design Science Research. - Kai R. Larsen; Roman Lukyanenko; Roland M. Müller; Veda C. Storey; Debra E. VanderMeer; Jeffrey Parsons; Dirk S. Hovorka (DESRIST, 2020)

Modeling Observational Crowdsourcing. - Arturo Castellanos 001; Roman Lukyanenko; Veda C. Storey (ER Forum/Posters/Demos, 2020)

Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI. - Roman Lukyanenko; Arturo Castellanos 001; Veda C. Storey; Alfred Castillo; Monica Chiarini Tremblay; Jeffrey Parsons (ER (Workshops), 2020)

Introducing GSO: A General Systemist Ontology. - Roman Lukyanenko; Veda Storey; Arturo Castellanos 001 (ER Forum/Posters/Demos, 2020)

Data Collection Interfaces in Online Communities: The Impact of Data Structuredness and Nature of Shared Content on Perceived Information Quality. - Mahed Maddah; Roman Lukyanenko; Debra E. VanderMeer; Binny M. Samuel (HICSS, 2020)

To Train or Not to Train? How Training Affects the Diversity of Crowdsourced Data. - Shawn Ogunseye; Jeffrey Parsons; Roman Lukyanenko (ICIS, 2020)

IT vendors' legitimation strategies and market share: The case of EMR systems. - Guy Paré; Josianne Marsan; Mirou Jaana; Haitham Tamim; Roman Lukyanenko (Inf. Manag., 2020)

Citizen Science: An Information Quality Research Frontier. - Roman Lukyanenko; Andrea Wiggins; Holly K. Rosser (Inf. Syst. Frontiers, 2020)

Basic Classes in Conceptual Modeling: Theory and Practical Guidelines. - Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Binny M. Samuel (J. Assoc. Inf. Syst., 2020)

Research Perspectives: Design Theory Indeterminacy: What Is it, How Can it Be Reduced, and Why Did the Polar Bear Drown? - Roman Lukyanenko; Jeffrey Parsons (J. Assoc. Inf. Syst., 2020)

Improving Machine Learning Performance Using Conceptual Modeling. - Arturo Castellanos 001; Alfred Castillo; Monica Chiarini Tremblay; Roman Lukyanenko; Jeffrey Parsons; Veda C. Storey (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Design Behavioral Research: Toward a Unified View of Information Systems. - Roman Lukyanenko (AMCIS, 2021)

Research Agenda for Basic Explainable AI. - Roman Lukyanenko; Arturo Castellanos 001; Binny M. Samuel; Monica C. Tremblay; Wolfgang Maass 002 (AMCIS, 2021)

From Mental Models to Machine Learning Models via Conceptual Models. - Wolfgang Maass 002; Veda C. Storey; Roman Lukyanenko (BPMDS/EMMSAD@CAiSE, 2021)

The Notion of "System" as a Core Conceptual Modeling Construct for Life Sciences. - Roman Lukyanenko; Veda C. Storey; Oscar Pastor 001 (ER (Workshops), 2021)

Call for Papers, Issue 1/2023. - Kathrin Figl; Roman Lukyanenko; Jan Mendling; Gregor Polancic (Bus. Inf. Syst. Eng., 2021)

Conceptual Modeling in a Digital World: A New Framework and Research Agenda (Extended Abstract). - Jan Recker; Roman Lukyanenko; Mohammad Jabbari 001; Binny M. Samuel; Arturo Castellanos 001 (EMISA Forum, 2021)

From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World. - Jan Recker; Roman Lukyanenko; Mohammad Jabbari 001; Binny M. Samuel; Arturo Castellanos 001 (MIS Q., 2021)

Foundations of information technology based on Bunge's systemist philosophy of reality. - Roman Lukyanenko; Veda C. Storey; Oscar Pastor 001 (Softw. Syst. Model., 2021)

ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI. - Wolfgang Maass 002; Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Veda C. Storey (AAAI Spring Symposium: MAKE, 2022)

Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling. - Roman Lukyanenko; Binny M. Samuel; Veda Storey; Arnon Sturm (ER Forum/PhD Symposium, 2022)

AI Explainability: Embedding Conceptual Models. - Wolfgang Maass 002; Arturo Castellanos 001; Monica C. Tremblay; Roman Lukyanenko; Veda C. Storey (ICIS, 2022)

Explainable AI. - Veda C. Storey; Roman Lukyanenko; Wolfgang Maass 002; Jeffrey Parsons (Commun. ACM, 2022)

System: A core conceptual modeling construct for capturing complexity. - Roman Lukyanenko; Veda C. Storey; Oscar Pastor 001 (Data Knowl. Eng., 2022)

Physically Distancing Humans With An App for That: Physically Distancing Mangement Technologies. - Veda C. Storey; Roman Lukyanenko; Camille Grange 001 (J. Database Manag., 2022)

Artificial intelligence and the conduct of literature reviews. - Gerit Wagner; Roman Lukyanenko; Guy Paré (J. Inf. Technol., 2022)

Conceptual modelling for life sciences based on systemist foundations. - Roman Lukyanenko; Veda C. Storey; Oscar Pastor 001 (BMC Bioinform., 2022)

Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities. - Roman Lukyanenko; Wolfgang Maass 002; Veda C. Storey (Electron. Mark., 2022)

Conceptual Alignment Method. - Wolfgang Maass 002; Arturo Castellanos 001; Monica C. Tremblay; Roman Lukyanenko; Veda C. Storey; Jonas S. Almeida (AMCIS, 2023)

Principles of Universal Conceptual Modeling. - Roman Lukyanenko; Jeffrey Parsons; Veda C. Storey; Binny M. Samuel; Oscar Pastor 001 (BPMDS/EMMSAD@CAiSE, 2023)

Inclusive conceptual modeling: Diversity, equity, involvement, and belonging in conceptual modeling (short paper). - Roman Lukyanenko; Dominik Bork; Veda C. Storey; Jeffrey Parsons; Oscar Pastor 001 (ER (Companion), 2023)

Datish: A universal conceptual modeling language to model anything by anyone. - Roman Lukyanenko; Binny M. Samuel; Jeffrey Parsons; Veda C. Storey; Oscar Pastor 001 (ER (Companion), 2023)

Conceptual Modeling: Topics, Themes, and Technology Trends. - Veda C. Storey; Roman Lukyanenko; Arturo Castellanos 001 (ACM Comput. Surv., 2023)

Empowering Users with Narratives: Examining the Efficacy of Narratives for Understanding Data-Oriented Conceptual Models. - Merete Hvalshagen; Roman Lukyanenko; Binny M. Samuel (Inf. Syst. Res., 2023)

Agile Development: The Promise, the Reality, the Opportunity. - Jon W. Beard; Veda C. Storey; Binny M. Samuel; Roman Lukyanenko; Anna Wiedemann; David Schuff; Shawn Ogunseye; Zohra Islamzada; Fereshta Islamzada (Agil-ISE@CAiSE, 2024)

The Ontology of Fields as a Foundation for Conceptual Modeling. - Arturo Castellanos 001; Jon W. Beard; Binny M. Samuel; Keng Siau; Carson Woo; Veda C. Storey; Roman Lukyanenko; Roger H. L. Chiang; Debra E. VanderMeer (ER (Companion), 2024)

Integrating LLMs and Psychometrics: Global Construct Validity. - Kai R. Larsen; Sen Yan; Roman Lukyanenko (ICIS, 2024)

The MAGIC of Data Management: Understanding the Value and Activities of Data Management. - Roman Lukyanenko (CoRR, 2024)

Transparency in design science research. - Alan R. Hevner; Jeffrey Parsons; Alfred Benedikt Brendel; Roman Lukyanenko; Verena Tiefenbeck; Monica Chiarini Tremblay; Jan vom Brocke (Decis. Support Syst., 2024)

Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research. - Roman Lukyanenko; Binny M. Samuel; Jeffrey Parsons; Veda C. Storey; Oscar Pastor 001; Araz Jabbari (Softw. Syst. Model., 2024)

Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability. - Veda C. Storey; Jeffrey Parsons; Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Alfred Castillo; Wolfgang Maaß 002 (Data Knowl. Eng., 2025)

The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach. - Indika Dissanayake; Sridhar P. Nerur; Roman Lukyanenko; Minoo Modaresnezhad (Inf. Manag., 2025)

Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research. - Veda C. Storey; Wei Thoo Yue; J. Leon Zhao; Roman Lukyanenko (CoRR, 2025)

Validity in Design Science. - Kai R. Larsen; Roman Lukyanenko; Roland M. Mueller; Veda C. Storey; Jeffrey Parsons; Debra E. VanderMeer; Dirk S. Hovorka (CoRR, 2025)

Understanding and Improving Data Repurposing. - Jeffrey Parsons; Roman Lukyanenko; B. Greenwood; C. Cooper (CoRR, 2025)