All Stories

  1. Large language models for conceptual modeling: Assessment and application potential
  2. The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators
  3. Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research
  4. Transparency in design science research
  5. Pathways for Design Research on Artificial Intelligence
  6. Advantages and Drawbacks of Open-Ended, Use-Agnostic Citizen Science Data Collection: A Case Study
  7. A Design-Principle-Friendly Conceptual Model of Observational Crowdsourcing
  8. In Memoriam — Professor Aditya Ghose
  9. Preface
  10. Principles of Universal Conceptual Modeling
  11. Transparency in Design Science Research
  12. Explainable AI
  13. Skipping class: improving human-driven data exploration and querying through instances
  14. Mapping Design Contributions in Information Systems Research: The Design Research Activity Framework
  15. Research Perspectives: Design Theory Indeterminacy: What Is it, How Can it Be Reduced, and Why Did the Polar Bear Drown?
  16. Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI
  17. Validity in Design Science Research
  18. Using Eye Tracking to Expose Cognitive Processes in Understanding Conceptual Models1
  19. Special Issue: Immersive Systems
  20. Expecting the Unexpected: Effects of Data Collection Design Choices on the Quality of Crowdsourced User-Generated Content1
  21. CDI: Configurable Data Integration Using Property Precedence Relations
  22. Using Conceptual Modeling to Support Machine Learning
  23. Representing instances: the case for reengineering conceptual modelling grammars
  24. Beyond Micro-Tasks
  25. A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
  26. Artifact Sampling in Experimental Conceptual Modeling Research
  27. Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research
  28. Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content
  29. The effect of tracking technique on the quality of user experience for augmented reality mobile navigation
  30. Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content
  31. SEDEX: Scalable Entity Preserving Data Exchange
  32. SEDEX: Scalable Entity Preserving Data Exchange
  33. Emerging problems of data quality in citizen science
  34. How do open source software (OSS) developers practice and perceive requirements engineering? An empirical study
  35. An enhanced requirements gathering interface for open source software development environments
  36. Information Quality Research Challenge: Adapting Information Quality Principles to User-Generated Content
  37. Extending Participatory Design Principles to Structured User-Generated Content
  38. Guidelines for Establishing Instantiation Validity in IT Artifacts: A Survey of IS Research
  39. Principles for Modeling User-Generated Content
  40. Data Quality in User-generated Content
  41. Generating Effective Recommendations Using Viewing-Time Weighted Preferences for Attributes
  42. Advances in Conceptual Modeling
  43. Instantiation Validity in IS Design Research
  44. Extending Classification Principles from Information Modeling to Other Disciplines
  45. SESM: Semantic enrichment of schema mappings
  46. Cognitive Principles to Support Information Requirements Agility
  47. Is Traditional Conceptual Modeling Becoming Obsolete?
  48. Lightweight Conceptual Modeling for Crowdsourcing
  49. Reconciling Theories with Design Choices in Design Science Research
  50. More Enduring Questions in Cognitive IS Research
  51. Conceptual modeling principles for crowdsourcing
  52. Semantic Schema Mapping Using Property Precedence Relations
  53. Sliced Column-Store (SCS): Ontological Foundations and Practical Implications
  54. An Experimental Study of the Effects of Representing Property Precedence on the Comprehension of Conceptual Schemas
  55. Easier citizen science is better
  56. Ontological Rules for UML-Based Conceptual Modeling
  57. Citizen Science 2.0: Data Management Principles to Harness the Power of the Crowd
  58. Panel: New Directions for Conceptual Modeling
  59. Unintended Consequences of Class-Based Ontological Commitment
  60. Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database Queries
  61. Conceptual Modeling – ER 2010
  62. The Instance-Based Multilevel Security Model
  63. Instance-Based Data Management -- Is it Useful for Biodiversity Informatics Applications?
  64. Using Cognitive Principles to Guide Classification in Information Systems Modeling1
  65. A question of class
  66. Dimensions of UML Diagram Use
  67. An Ontological Metamodel of Classifiers and Its Application to Conceptual Modelling and Database Design
  68. How UML is used
  69. Experimental Research on Conceptual Modeling: What Should We Be Doing and Why?
  70. A Framework for Automatic Online Personalization
  71. iQL: A Query Language for the Instance-Based Data Model
  72. What do the pictures mean? Guidelines for experimental evaluation of representation fidelity in diagrammatical conceptual modeling techniques
  73. Current Practices in the Use of UML
  74. Information Technology and Systems - I Systems Analysis and Design: Should We Be Researching What We Teach?
  75. Cognitive heuristics in software engineering applying and extending anchoring and adjustment to artifact reuse
  76. Attribute-Based Semantic Reconciliation of Multiple Data Sources
  77. Effects of Local Versus Global Schema Diagrams on Verification and Communication in Conceptual Data Modeling
  78. Property-Based Semantic Reconciliation of Heterogeneous Information Sources
  79. A Tale of Two Studies: Replicating ‘Advertising Effectiveness and Content Evaluation in Print and on the Web’
  80. The Medium Is Not the Message: Advertising Effectiveness and Content Evaluation in Print and on the Web
  81. Understanding the Role of Use Cases in UML
  82. Emancipating instances from the tyranny of classes in information modeling
  83. Using objects for systems analysis
  84. Choosing classes in conceptual modeling
  85. An Information Model Based on Classification Theory
  86. Theoretical foundations for conceptual modelling in information systems development
  87. Preface to FP-UML 2007
  88. A framework for targeting banner advertising on the Internet
  89. A graphical technique for modeling multi-user data requirements
  90. A cognitive foundation for comparing object-oriented analysis methods