All Stories

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