All Stories

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