AN ACTIVITY NETWORK APPROACH FOR THE ANALYSIS OF MANNING POLICIES IN FIREFIGHTING OPERATIONS.
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- Management Science, 1982, v. 28, n. 10, p. 1121, doi. 10.1287/mnsc.28.10.1121
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Works by Wand, Yair
Results: 35
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A question of class.
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- Nature, 2008, v. 455, n. 7216, p. 1040, doi. 10.1038/4551040a
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Toward Formalizing Domain Modeling Semantics in Language Syntax.
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- IEEE Transactions on Software Engineering, 2005, v. 31, n. 1, p. 21, doi. 10.1109/TSE.2005.15
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AN EXPERT SYSTEM TO SUPPORT SITE PREPARATION DECISIONS RELATED TO REFORESTATION.
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- INFOR, 1993, v. 31, n. 3, p. 221, doi. 10.1080/03155986.1993.11732228
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THE RELATIONSHIP BETWEEN RESPONSE TIME AND FIRE PROPERTY LOSSES.
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Understanding Technology Support for Organizational Transactive Memory: Requirements, Application, and Customization.
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- Journal of Management Information Systems, 2012, v. 28, n. 4, p. 69, doi. 10.2753/MIS0742-1222280404
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A Model of Control and Audit Procedure Change in Evolving Data Processing Systems.
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- Accounting Review, 1989, v. 64, n. 1, p. 87
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8
ONTOLOGICAL MODELING RULES FOR UML: AN EMPIRICAL ASSESSMENT.
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- Journal of Computer Information Systems, 2006, v. 47, p. 14, doi. 10.1080/08874417.2006.11645922
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9
Improving the representation of roles in conceptual modeling: theory, method, and evidence.
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- Requirements Engineering, 2018, v. 23, n. 4, p. 465, doi. 10.1007/s00766-017-0275-9
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10
Ontology based object-oriented domain modelling: fundamental concepts.
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- Requirements Engineering, 2005, v. 10, n. 2, p. 146, doi. 10.1007/s00766-004-0208-2
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11
A framework for empirical evaluation of conceptual modeling techniques.
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- Requirements Engineering, 2004, v. 9, n. 4, p. 248, doi. 10.1007/s00766-004-0204-6
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12
SPECIAL THEME OF RESEARCH IN INFORMATION SYSTEMS ANALYSIS AND DESIGN - I UNRAVELING KNOWLEDGE REQUIREMENTS THROUGH BUSINESS PROCESS ANALYSIS.
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- Communications of the Association for Information Systems, 2005, v. 16, p. 814, doi. 10.17705/1CAIS.01641
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13
INFORMATION EVALUATION AND DECISION MAKERS' OBJECTIVES.
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- Interfaces, 1981, v. 11, n. 3, p. 24, doi. 10.1287/inte.11.3.24
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14
On the deep structure of information systems.
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- Information Systems Journal, 1995, v. 5, n. 3, p. 203, doi. 10.1111/j.1365-2575.1995.tb00108.x
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15
Conceptualizing Routing Decisions in Business Processes: Theoretical Analysis and Empirical Testing.
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- Journal of the Association for Information Systems, 2015, v. 16, n. 5, p. 345
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16
Extending Classification Principles from Information Modeling to Other Disciplines.
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17
Extending Classification Principles from Information Modeling to Other Disciplines.
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- Journal of the Association for Information Systems, 2013, v. 14, n. 5, p. 245
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18
Guidelines for Empirical Evaluations of Conceptual Modeling Grammars.
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- Journal of the Association for Information Systems, 2009, v. 10, n. 6, p. 495
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19
Goal-Driven Multi-Process Analysis.
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- Journal of the Association for Information Systems, 2007, v. 8, n. 3, p. 175
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20
Research in Information Systems Analysis and Design: Introduction to the Special Issue.
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- Journal of the Association for Information Systems, 2006, v. 7, n. 8, p. 509
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21
On Ontological Foundations of Conceptual Modeling: A Response to Wyssusek.
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- Scandinavian Journal of Information Systems, 2006, v. 18, n. 1, p. 127
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22
COMPARATIVE EVALUATION OF INFORMATION UNDER TWO BUSINESS OBJECTIVES.
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- Decision Sciences, 1984, v. 15, n. 1, p. 31, doi. 10.1111/j.1540-5915.1984.tb01195.x
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23
QUANTITATIVE MEASURES FOR CHARACTERISTICS OF A STATE-DEPENDENT ASSIGNMENT POLICY.
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- Decision Sciences, 1980, v. 11, n. 1, p. 135, doi. 10.1111/j.1540-5915.1980.tb01131.x
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24
GUIDELINES FOR DESIGNING VISUAL ONTOLOGIES TO SUPPORT KNOWLEDGE IDENTIFICATION.
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- MIS Quarterly, 2011, v. 35, n. 4, p. 883, doi. 10.2307/41409965
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25
USING COGNITIVE PRINCIPLES TO GUIDE CLASSIFICATION IN INFORMATION SYSTEMS MODELING.
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- MIS Quarterly, 2008, v. 32, n. 4, p. 839, doi. 10.2307/25148874
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26
Limiting the Search Space during Controls Evaluation of a Modified Information System.
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- Journal of Information Systems, 2018, v. 32, n. 3, p. 91, doi. 10.2308/isys-51908
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27
Towards an evaluation framework for knowledge management systems.
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- Information Technology & Management, 2008, v. 9, n. 4, p. 233, doi. 10.1007/s10799-007-0023-9
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28
How Semantics and Pragmatics Interact in Understanding Conceptual Models.
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- Information Systems Research, 2014, v. 25, n. 2, p. 401, doi. 10.1287/isre.2014.0515
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29
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda.
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- Information Systems Research, 2002, v. 13, n. 4, p. 363, doi. 10.1287/isre.13.4.363.69
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30
A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models.
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- 2020
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- Literature Review
31
Thirty Years Later: Some Reflections on Ontological Analysis in Conceptual Modeling.
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- Journal of Database Management, 2017, v. 28, n. 1, p. 1, doi. 10.4018/JDM.2017010101
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Assigning Ontological Meaning to Workflow Nets.
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- Journal of Database Management, 2010, v. 21, n. 3, p. 1, doi. 10.4018/jdm.2010070101
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Using Ontology Languages for Conceptual Modeling.
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- Journal of Database Management, 2010, v. 21, n. 1, p. 1, doi. 10.4018/jdm.2010112301
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Ontology Based Object-Oriented Domain Modeling: Representing Behavior.
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- Journal of Database Management, 2009, v. 20, n. 1, p. 48, doi. 10.4018/jdm.2009010103
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35
Reflection: Ontology in Information Systems.
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- Journal of Database Management, 2004, v. 15, n. 2, p. 1
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