Understanding conceptual schemas: Exploring the role of application and IS domain knowledge

Information Systems Research

Volumn 17, Issue 1, 2006, Pages 81-99

  Khatri, Vijay ^a   Vessey, Iris ^b   Ramesh, V ^a   Clay, Paul ^a   Park, Sung Jin ^c  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c INDIANA UNIVERSITY   (United States)

Author keywords

Conceptual modeling; Conceptual schema understanding; Schema based problem solving tasks; Semantic comprehension tasks; Syntactic comprehension tasks; The theory of cognitive fit

Indexed keywords

DATA MINING; SEMANTICS; SYNTACTICS;

COMPREHENSION TASKS; CONCEPTUAL MODEL; CONCEPTUAL SCHEMAS; SCHEMA-BASED PROBLEM-SOLVING TASKS; SEMANTIC COMPREHENSION; THE THEORY OF COGNITIVE FIT;

PROBLEM SOLVING;

EID: 33645166839     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.1060.0081     Document Type: Article

References (50)

1. Agarwal, R., A. P. Sinha, M. Tanniru. 1996. The role of prior experience and task characteristics in object-oriented modeling: An empirical study. Internat. J. Human-Comput. Stud. 45 639-667.
2. Alexander, P. A. 1992. Domain knowledge: Evolving themes and emerging concerns. Ed. Psych. 27(1) 33-51.
3. Alexander, P. A., J. E. Judy. 1988. The interaction of domain-specific and strategic knowledge in academic performance. Rev. Ed. Res. 58(4) 375-104.
4. Anderson, J. R. 1983. The Architecture of Cognition. Lawrence Erlbaum Associates, Mahwah, NJ.
5. Batra, D., J. G. Davis. 1992. Conceptual data modelling in database design: Similarities and differences between expert and novice designers. Internat. J. Man-Machine Stud. 37 83-101.
6. Blum, Bruce I. 1989. A paradigm for the 1990s validated in the 1980s. Technical paper, Seventh AIAA Comput. Aerospace Conf. American Insititue of Aeronautics and Astronautics, Washington, D.C., 502-511.
7. Bodart, F., A. Patel, M. Sim, R. Weber. 2001. Should optional properties be used in conceptual modelling? A theory and three empirical tests. Inform. Systems Res. 12(4) 384-405.
8. Borthick, A. F., P. L. Bowen, D. R. Jones, M. H. K. Tse. 2001. The effects of information request ambiguity and construct incongruence on query development. Decision Support Systems 32(1) 3-25.
9. Burkhardt, J.-M., F. Détienne, S. Wiedenbeck. 2002. Object-oriented program comprehension: Effect of expertise, task and phase. Empirical Software Engrg. 7(2) 115-156.
10. Burton-Jones, A., R. Weber. 1999. Understanding relationships with attributes in entity-relationship diagrams. P. De, J. DeGross, eds. Proc. 20th Internat. Conf. Inform. Systems, Association for Information Systems, Atlanta, GA, 214-228.
11. Chen, P. P. 1976. The entity-relationship model - Toward a unified view of data. ACM Trans. Database Systems 1(1) 9-36.
12. Cohen, J. 1960. A coefficient of agreement for nominal scales. Ed. Psych. Measurement 20 37-46.
13. Curtis, B., H. Krasner, N. Iscoe. 1988. A field study of the software design process for large scale systems. Comm. ACM 31(11) 1268-1287.
14. Davies, I., P. Green, M. Rosemann, M. Indulska, S. Gallo. How do practitioners use conceptual modeling in practice? Data Knowledge Engrg. Forthcoming.
15. Elmasri, R., S. B. Navathe. 1994. Fundamentals of Database Systems, 2nd ed. Benjamin/Cummings Publishing Co., Redwood City, CA.
16. Gemino, A. 1999. Empirical methods for comparing system analysis modelling techniques. Unpublished Ph.D. thesis, University of British Columbia, Vancouver, B.C., Canada.
17. Gemino, A., Y. Wand. 2003. Evaluating modeling techniques based on models of learning. Comm. ACM 46(10) 79-84.
18. Glass, R. L., I. Vessey. 1992. Toward a taxonomy of application domains: History. J. Systems Software 17(2) 189-199.
19. Gugerty, L., G. Olson. 1986. Debugging by skilled and novice programmers. Proc. SIGCHI Conf. Human Factors Comput. Systems. ACM Press, New York, 171-174.
20. Hoffer, J. A., M. B. Prescott, F. R. McFadden. 2005. Modern Database Management. Pearson Prentice Hall, Upper Saddle River, NJ.
21. Hubbard, R., J. S. Armstrong. 1997. Publication bias against null results. Psych. Reports 80 337-338.
22. Kazdin, A. E. 1977. Artifact, bias and complexity of assessment: The ABCs of reliability. J. Appl. Behavior Anal. 10(1) 141-150.
23. Khatri, V., I. Vessey, V. Ramesh, P. Clay, S.-J. Park. 2006. Online supplement to "Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge." Inform. Systems Res. 17(1) 81-99. http://www.informs.org/Pubs/supplements/ISR/1526-5536-2006-17-01-0081-app.pdf.
24. Kim, Y.-G., S. T. March. 1995. Comparing data modeling formalisms. Comm. ACM 38(6) 103-115.
25. Landis, J. R., G. G. Koch. 1977. The measurement of observer agreement for categorical data. Biometrics 36 159-174.
26. Lee, H., B. G. Choi. 1998. A comparative study of conceptual data modeling techniques. J. Database Management 9 26-35.
27. Mayer, R. E. 1975. Different problem-solving competencies established in learning computer programming with and without meaningful models. J. Ed. Psych. 67(6) 725-734.
28. Mayer, R. E. 1991. Thinking, Problem Solving, Cognition. W.H. Freeman and Company, New York, 560-578.
29. McPeck, H. 1990. Critical thinking and subject specificity: A reply to Ennis. Ed. Res. 19(4) 10-12.
30. Moody, D. L. 1998. Metrics for evaluating the quality of entity relationship models. Tok Wang Ling, Sudha Ram, Mong-Li Lee, eds. Proc. 17th Internat. Conf. Conceptual Modeling (ER 1998). Lecture Notes Comput. Sci. Springer, 211-225.
31. Moody, D. L., G. G. Shanks, P. Darke. 1998. Improving the quality of entity relationship models - Experience in research and practice. Tok Wang Ling, Sudha Ram, Mong-Li Lee, eds. Proc. 17th Internat. Conf. Conceptual Modeling (ER 1998). Lecture Notes Comput. Sci. Springer, 255-276.
32. Nickerson, R. S. 2000. Null hypothesis significance testing: A review of an old and continuing controversy. Psych. Methods 5(2) 241-301.
33. Orwin, R. G. 1994. Evaluating coding decisions. H. Cooper, L. V. Hedges, eds. The Handbook of Research Synthesis. Russell Sage Foundation, New York, 139-162.
34. Parsons, J. 2002. Effects of local versus global schema diagrams on verification and communication in conceptual data modeling. J. Management Inform. Systems 19(3) 155-183.
35. Purao, S., M. Rossi, A. Bush. 2002. Toward an understanding of the use of problem and design spaces during object-oriented system development. Inform. Organ. 12 249-281.
36. Schmidt, F. L., J. E. Hunter. 1997. Eight common but false objections to the discontinuation of significance testing in the analysis of research data. L. L. Harlow, S. A. Mulaik, J. H. Steiger, eds. What If There Were No Significance Tests? Erlbaum, Hillsdale, NJ, 37-64.
37. Schneiderman, B., R. E. Mayer. 1979. Syntactic/semantic interactions in programmer behavior: A model and experimental results. Internat. J. Comput. Inform. Sci. 8 219-238.
38. Shaft, T., I. Vessey. 1995. The relevance of application domain knowledge: The case of computer program comprehension. Inform. Systems Res. 6(3) 286-299.
39. Shaft, T., I. Vessey. 1998. The relevance of application domain knowledge: Characterizing the computer program comprehension process. J. Management Inform. Systems 15(1) 51-78.
40. Shanks, G., J. Nuredini, D. Tobin, D. Moody, R. Weber. 2003. Representing things and properties in conceptual modeling: An empirical investigation. Proc. 11th Eur. Conf. Inform. Systems, Naples, Italy (June 16-21).
41. Shanks, G., E. Tansley, J. Nuredini, D. Tobin, D. Moody, R. Weber. 2002. Representing part-whole relationships in conceptual modeling: An empirical evaluation. Proc. 23rd Internat. Conf. Inform. Systems. Association of Information Systems, Seattle, WA, 89-100.
42. Siau, K., Y. Wand, I. Benbasat. 1995. A psychological study on the use of relationship concept - Some preliminary findings. Proc. 7th Internat. Conf. Inform. Systems Engrg. (CAiSE), Jyvaskyla, Finland. Springer-Verlag, 341-354.
43. Topi, H., V. Ramesh. 2002. Human factors research on data modeling: A review of prior research, an extended framework and future research directions. J. Database Management 13(2) 3-19.
44. Vessey, I. 1991. Cognitive fit: A theory-based analysis of the graphs versus tables literature. Decision Sci. 22(Spring) 219-240.
45. Vessey, I. 2006. The theory of cognitive fit: One aspect of a general theory of problem solving? P. Zhang, D. Galletta, eds. Human-Computer Interaction and Management Information Systems: Foundations, Advances in Management Information Systems Series. M. E. Sharpe, Armonk, NY.
46. Vessey, I., S. Conger. 1993. Learning to specify information requirements: The relationship between application and methodology. J. Management Inform. Systems 10(2) 177-201.
47. Weber, R. 1996. Are attributes entities? A study of database designers' memory structures. Inform. Systems Res. 7 137-162.
48. Whetten, D. A. 1989. What constitutes a theoretical contribution? Acad. Management Rev. 14(4) 490-495.
49. Wiedenbeck, S. 1986. Processes in computer program comprehension. E. Soloway, S. Iyengar, eds. Empirical Studies of Programmers. Alex Publishing Corporation, Norwood, NJ, 48-57.
50. Witt, G. C., G. C. Simsion. 2004. Data Modeling Essentials: Analysis, Design and Innovation, 3rd ed. Morgan Kauffman, San Francisco, CA.