Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge

Published Online:https://doi.org/10.1287/isre.1060.0081

References

  • Agarwal R., Sinha A. P., Tanniru M. The role of prior experience and task characteristics in object-oriented modeling: An empirical study. Internat. J. Human-Comput. Stud. (1996) 45:639–667CrossrefGoogle Scholar
  • Alexander P. A. Domain knowledge: Evolving themes and emerging concerns. Ed. Psych. (1992) 27(1):33–51CrossrefGoogle Scholar
  • Alexander P. A., Judy J. E. The interaction of domain-specific and strategic knowledge in academic performance. Rev. Ed. Res. (1988) 58(4):375–404CrossrefGoogle Scholar
  • Anderson J. R.The Architecture of Cognition (1983) (Lawrence Erlbaum Associates, Mahwah, NJ) Google Scholar
  • Batra D., Davis J. G. Conceptual data modelling in database design: Similarities and differences between expert and novice designers. Internat. J. Man-Machine Stud. (1992) 37:83–101CrossrefGoogle Scholar
  • Blum Bruce I. A paradigm for the 1990s validated in the 1980s. Seventh AIAA Comput. Aerospace Conf. (1989) Washington, D.C.(American Insititue of Aeronautics and Astronautics)502–511Technical paperCrossrefGoogle Scholar
  • Bodart F., Patel A., Sim M., Weber R. Should optional properties be used in conceptual modelling? A theory and three empirical tests. Inform. Systems Res. (2001) 12(4):384–405LinkGoogle Scholar
  • Borthick A. F., Bowen P. L., Jones D. R., Tse M. H. K. The effects of information request ambiguity and construct incongruence on query development. Decision Support Systems (2001) 32(1):3–25Google Scholar
  • Burkhardt J.-M., Détienne F., Wiedenbeck S. Object-oriented program comprehension: Effect of expertise, task and phase. Empirical Software Engrg. (2002) 7(2):115–156CrossrefGoogle Scholar
  • Burton-Jones A., Weber R., De P., DeGross J. Understanding relationships with attributes in entity-relationship diagrams. Proc. 20th Internat. Conf. Inform. Systems (1999) Atlanta, GA(Association for Information Systems)214–228Google Scholar
  • Chen P. P. The entity-relationship model—Toward a unified view of data. ACM Trans. Database Systems (1976) 1(1):9–36CrossrefGoogle Scholar
  • Cohen J. A coefficient of agreement for nominal scales. Ed. Psych. Measurement (1960) 20:37–46CrossrefGoogle Scholar
  • Curtis B., Krasner H., Iscoe N. A field study of the software design process for large scale systems. Comm. ACM (1988) 31(11):1268–1287CrossrefGoogle Scholar
  • Davies I., Green P., Rosemann M., Indulska M., Gallo S. How do practitioners use conceptual modeling in practice? Data Knowledge Engrg.ForthcomingGoogle Scholar
  • Elmasri R., Navathe S. B.Fundamentals of Database Systems (1994) 2nd ed(Benjamin/Cummings Publishing Co., Redwood City, CA) Google Scholar
  • Gemino A. Empirical methods for comparing system analysis modelling techniques. (1999) . Unpublished Ph.D. thesis, University of British Columbia, Vancouver, B.C., CanadaGoogle Scholar
  • Gemino A., Wand Y. Evaluating modeling techniques based on models of learning. Comm. ACM (2003) 46(10):79–84CrossrefGoogle Scholar
  • Glass R. L., Vessey I. Toward a taxonomy of application domains: History. J. Systems Software (1992) 17(2):189–199CrossrefGoogle Scholar
  • Gugerty L., Olson G. Debugging by skilled and novice programmers. Proc. SIGCHI Conf. Human Factors Comput. Systems (1986) New York(ACM Press)171–174CrossrefGoogle Scholar
  • Hoffer J. A., Prescott M. B., McFadden F. R.Modern Database Management (2005) (Pearson Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Hubbard R., Armstrong J. S. Publication bias against null results. Psych. Reports (1997) 80:337–338CrossrefGoogle Scholar
  • Kazdin A. E. Artifact, bias and complexity of assessment: The ABCs of reliability. J. Appl. Behavior Anal. (1977) 10(1):141–150CrossrefGoogle Scholar
  • Khatri V., Vessey I., Ramesh V., Clay P., Park S.-J. Online supplement to “Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge. Inform. Systems Res. (2006) 17(1):81–99 http://www.informs.org/Pubs/supplements/ISR/1526-5536-2006-17-01-0081-app.pdfGoogle Scholar
  • Kim Y.-G., March S. T. Comparing data modeling formalisms. Comm. ACM (1995) 38(6):103–115CrossrefGoogle Scholar
  • Landis J. R., Koch G. G. The measurement of observer agreement for categorical data. Biometrics (1977) 36:159–174CrossrefGoogle Scholar
  • Lee H., Choi B. G. A comparative study of conceptual data modeling techniques. J. Database Management (1998) 9:26–35CrossrefGoogle Scholar
  • Mayer R. E. Different problem-solving competencies established in learning computer programming with and without meaningful models. J. Ed. Psych. (1975) 67(6):725–734CrossrefGoogle Scholar
  • Mayer R. E.Thinking, Problem Solving, Cognition (1991) (W.H. Freeman and Company, New York) 560–578Google Scholar
  • McPeck H. Critical thinking and subject specificity: A reply to Ennis. Ed. Res. (1990) 19(4):10–12CrossrefGoogle Scholar
  • Moody D. L., Ling Tok Wang, Ram Sudha, Lee Mong-Li. Metrics for evaluating the quality of entity relationship models. Proc. 17th Internat. Conf. Conceptual Modeling (ER 1998) (1998) (Springer)211–225CrossrefGoogle Scholar
  • Moody D. L., Shanks G. G., Darke P., Ling Tok Wang, Ram Sudha, Lee Mong-Li. Improving the quality of entity relationship models—Experience in research and practice. Proc. 17th Internat. Conf. Conceptual Modeling (ER 1998) (1998) (Springer)255–276CrossrefGoogle Scholar
  • Nickerson R. S. Null hypothesis significance testing: A review of an old and continuing controversy. Psych. Methods (2000) 5(2):241–301CrossrefGoogle Scholar
  • Orwin R. G., Cooper H., Hedges L. V. Evaluating coding decisions. The Handbook of Research Synthesis (1994) (Russell Sage Foundation, New York) 139–162Google Scholar
  • Parsons J. Effects of local versus global schema diagrams on verification and communication in conceptual data modeling. J. Management Inform. Systems (2002) 19(3):155–183CrossrefGoogle Scholar
  • Purao S., Rossi M., Bush A. Toward an understanding of the use of problem and design spaces during object-oriented system development. Inform. Organ. (2002) 12:249–281CrossrefGoogle Scholar
  • Schmidt F. L., Hunter J. E., Harlow L. L., Mulaik S. A., Steiger J. H. Eight common but false objections to the discontinuation of significance testing in the analysis of research data. What If There Were No Significance Tests? (1997) (Erlbaum, Hillsdale, NJ) 37–64Google Scholar
  • Schneiderman B., Mayer R. E. Syntactic/semantic interactions in programmer behavior: A model and experimental results. Internat. J. Comput. Inform. Sci. (1979) 8:219–238CrossrefGoogle Scholar
  • Shaft T., Vessey I. The relevance of application domain knowledge: The case of computer program comprehension. Inform. Systems Res. (1995) 6(3):286–299LinkGoogle Scholar
  • Shaft T., Vessey I. The relevance of application domain knowledge: Characterizing the computer program comprehension process. J. Management Inform. Systems (1998) 15(1):51–78CrossrefGoogle Scholar
  • Shanks G., Nuredini J., Tobin D., Moody D., Weber R. Representing things and properties in conceptual modeling: An empirical investigation. Proc. 11th Eur. Conf. Inform. Systems (2003) Naples, Italy(June 16–21Google Scholar
  • Shanks G., Tansley E., Nuredini J., Tobin D., Moody D., Weber R. Representing part-whole relationships in conceptual modeling: An empirical evaluation. Proc. 23rd Internat. Conf. Inform. Systems (2002) Seattle, WA(Association of Information Systems)89–100Google Scholar
  • Siau K., Wand Y., Benbasat I. A psychological study on the use of relationship concept—Some preliminary findings. Proc. 7th Internat. Conf. Inform. Systems Engrg. (CAiSE) (1995) Jyvaskyla, Finland(Springer-Verlag)341–354CrossrefGoogle Scholar
  • Topi H., Ramesh V. Human factors research on data modeling: A review of prior research, an extended framework and future research directions. J. Database Management (2002) 13(2):3–19CrossrefGoogle Scholar
  • Vessey I. Cognitive fit: A theory-based analysis of the graphs versus tables literature. Decision Sci. (1991) 22(Spring):219–240CrossrefGoogle Scholar
  • Vessey I., Zhang P., Galletta D. The theory of cognitive fit: One aspect of a general theory of problem solving? Human-Computer Interaction and Management Information Systems: Foundations, Advances in Management Information Systems Series (2006) (M. E. Sharpe, Armonk, NY) Google Scholar
  • Vessey I., Conger S. Learning to specify information requirements: The relationship between application and methodology. J. Management Inform. Systems (1993) 10(2):177–201CrossrefGoogle Scholar
  • Weber R. Are attributes entities? A study of database designers’ memory structures. Inform. Systems Res. (1996) 7:137–162LinkGoogle Scholar
  • Whetten D. A. What constitutes a theoretical contribution? Acad. Management Rev. (1989) 14(4):490–495CrossrefGoogle Scholar
  • Wiedenbeck S., Soloway E., Iyengar S. Processes in computer program comprehension. Empirical Studies of Programmers (1986) (Alex Publishing Corporation, Norwood, NJ) 48–57Google Scholar
  • Witt G. C., Simsion G. C.Data Modeling Essentials: Analysis, Design and Innovation (2004) 3rd ed.(Morgan Kauffman, San Francisco, CA) Google Scholar
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