Ontology-driven method engineering for information systems development

Business Systems Analysis with Ontologies

Volumn , Issue , 2005, Pages 174-215

  Holten, Roland ^a   Dreiling, Alexander ^b   Becker, Jörg ^c  

^a GOETHE UNIVERSITY   (Germany)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^c European Research Center for Information Systems   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 43249117899     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-339-5.ch007     Document Type: Chapter

References (71)

1. Adam, D. (1996). Planung und Entscheidung. Wiesbaden, Germany: Gabler.
2. Becker, J., Dreiling, A., Holten, R., & Ribbert, M. (2003). Specifying information systems for business process integration - A management perspective. Information Systems and e-Business Management, 1(3), 231-263.
3. Blaschka, M., Sapia, C., Höfling, G., & Dinter, B. (1998). Finding your way through multidimensional data models. International Workshop on Data Warehouse Design and OAP Technology, Vienna, Austria, (pp. 198-203).
4. Böhnlein, M. (2001). Konstruktion semantischer data-warehouse-schemata. Dissertation thesis, Deutscher Universitäts-Verlag, Wiesbaden, Germany.
5. Bulos, D. (1996). OLAP database design: A new dimension. Database Programming & Design, 9(6), 33-37.
6. Bunge, M. A. (1977). Ontology I: The furniture of the world: Treatise on basic philosophy. Dordrecht, Netherlands: Reidel.
7. Campbell, A. E, & Shapiro, S. C. (1995). Ontologic mediation: An overview. IJCAI Workshop on Basic Ontological Issues in Knowledge Sharing, (pp. 16-25).
8. de Saussure, F. (1974). Course in general linguistics. London: Peter Owen.
9. Dubé, L. & Paré, G. (2003). Rigor in information systems positivist case research: Current practices, trends, and recommendations. MIS Quarterly, 27(4), 597-635.
10. Golfarelli, M., Maio, D., & Rizzi, S. (1998). The dimensional fact model: A conceptual model for data warehouses. International Journal of Cooperative Information Systems, 7(2/3), 215-247.
11. Golfarelli, M. & Rizzi, S. (1998). A methodological framework for data warehouse design. ACM First International Workshop on Data Warehousing and OLAP (DOLAP), ACM, Washington, D. C.
12. Golfarelli, M. & Rizzi, S. (1999). Designing the data warehouse: Key steps and crucial issues. Journal of Computer Science and Information Management, 2(3).
13. Green, P. & Rosemann, M. (2000a). Integrated process modeling: An ontological evaluation. Information Systems, 25(3), 73-87.
14. Green, P. & Rosemann, M. (2000b). Usefulness of the BWW ontological models as a "core" theory of information systems. Information Systems Foundation Workshop: Building the Theoretical Base, (pp. 147-164).
15. Guarino, N. & Welty, C. (2002). Evaluating ontological decisions with OntoClean. Communications of the ACM, 45(2), 61-65.
16. Henderson, J. C. & Venkatraman, N. (1999). Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal, 38(2/3), 472-484.
17. Hirschheim, R., Klein, H. K., & Lyytinen, K. (1995). Information systems development and data modeling. Cambridge, U.K.: Cambridge University Press.
18. Hitt, L. M. & Brynjolfsson, E. (1996). Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quarterly, 20(2), 121-142.
19. Holten, R. (1999). Entwicklung von Führungsinformationssystemen. Ein methodenorientierter Ansatz. Wiesbaden, Germany: Gabler.
20. Holten, R. (2000). Framework and method for information warehouse development processes. In R. Jung & R. Winter (Eds.), Data Warehousing 2000 - Methoden, Anwendungen, Strategien Heidelberg, Germany: Springer. (pp. 135-163).
21. Holten, R. (2003a). Integration von informationssystemen. Theorie und anwendung im supply chain management. Habilitation thesis, University of Münster, Department of Information Systems, Münster, Germany.
22. Holten, R. (2003b). Specification of management views in information warehouse projects. Information Systems, 28(7), 709-751.
23. Holten, R. & Dreiling, A. (2002). Specification of fact calculations within the MetaMIS approach. Muenster, Germany: University of Muenster.
24. Holten, R., Dreiling, A., & Schmid, B. (2002). Management report engineering - A Swiss Re business case, In Data Warehousing 2002 Conference, Friedrichshafen, Germany, pp. 421-437.
25. Im, K. S., Dow, K. E., & Grover, V. (2001). Research report: A reexamination of IT investments and the market value of the firm - An event study methodology. Information Systems Research, 12(1), 103-120.
26. Jiang, J. J., Klein, G., & Discenza, R. (2001). Information system success as impacted by risks and development strategies. IEEE Transactions on Engineering Management, 48(1), 46-55.
27. Johnston, H. R. & Vitale, M. R. (1988). Creating competitive advantages with interorganizational information systems. MIS Quarterly, 12(2), 153-165.
28. Kamlah, W. & Lorenzen, P. (1984). Logical propaedeutic. Pre-school of reasonable discourse. Lanham, MD: University Press of America.
29. Kaplan, R. S. & Norton, D. P. (1992). The balanced score card. Measures that drive business performance. Harvard Business Review, 70, 71-79.
30. Kaplan, R. S. & Norton, D. P. (1993). Putting the balanced scorecard to work. Harvard Business Review, 71, 134-142.
31. Kaplan, R. S. & Norton, D. P. (1996). Translating strategy into action. The balanced scorecard. Boston, MA: Harvard Business School Press.
32. Karimi, J. (1988). Strategic planning for information systems: Requirements and information engineering methods. Journal of Management Information Systems, 4(4), 5-24.
33. Keil, M. (1995). Pulling the plug: Software project management and the problem of project escalation. MIS Quarterly, 19(4), 421-447.
34. Keil, M., Mann, J., & Rai, A. (2000). Why software projects escalate: An empirical analysis and test of four theoretical models. MIS Quarterly, 24(4), 631-664.
35. Kelly, G. A. (1955). The psychology of personal constructs. New York: W. W. Northern & Company.
36. Kottemann, J. E. & Konsynski, B. R. (1984). Information systems planning and development: Strategic postures and methodologies. Journal of Management Information Systems, 1(2), 45-63.
37. Latham, G. P. & Kinne, S. B. (1974). Improving job performance through training in goal setting. Journal of Applied Psychology, 59, 187-191.
38. Lechtenbörger, J. (2001). Data warehouse schema design. Berlin, Germany: Akademische Verlagsgesellschaft.
39. Li, E. Y. & Chen, H.-G. (2001). Output-driven information system planning: A case study. Information & Management, 2001(38), 185-199.
40. Lorenzen, P. (1987). Constructive philosophy. Amherst, MA: The University of Massachusetts Press.
41. Morris, C. (1971). Writings on the general theory of signs. The Hague, Netherlands: Mouton.
42. Mukhopadhyay, T., Kekre, S., & Kalathur, S. (1995). Business value of information technology: A study of electronic data interchange. MIS Quarterly, 19(2), 137-156.
43. Niehaves, B., Ribbert, M., Dreiling, A., & Holten, R. (2004). Conceptual modeling - An epistemological foundation. 2004 Americas Conference on Information Systems, New York, NY (pp. 4232-4242).
44. Nissen, H. W., Jeusfeld, M., Jarke, M., Zemanek, G. V., & Huber, H. (1996). Managing multiple requirements perspectives with metamodels. IEEE Software, 13(3), 37-48.
45. Porter, M. E. (1979). How competitive forces shape strategy. Harvard Business Review, 57, 137-145.
46. Reich, B. H. & Benbasat, I. (2000). Factors that influence the social dimension of alignment between business and information technology objectives. MIS Quarterly, 24(1), 81-113.
47. Ribbert, M., Niehaves, B., Dreiling, A., & Holten, R. (2004). An epistemological foundation of conceptual modeling, 12th European Conference on Information Systems, Turku, Finland.
48. Riebel, P. (1979). Gestaltungsprobleme einer zweckneutralen Grundrechnung. Zeitschrift für betriebswirtschaftliche Forschung, 31, 863-893.
49. Riebel, P. (1992). Einzelerlös-, Einzelkosten- und Deckungsbeitragsrechung als Kern einer ganzheitlichen Führungsrechung. In W. Männel (Ed.), Handbuch Kostenrechnung, Wiesbaden: Gabler (pp. 247-299).
50. Rosemann, M. & Green, P. (1999). Enhancing the process of ontological analysis - The "who cares" dimension. Information Systems Foundations Workshop - Ontology, Semiotics and Practice, (pp. 39-54).
51. Rosemann, M. & Green, P. (2002). Developing a meta model for the Bunge- Wand-Weber ontological constructs. Information Systems, 27(2), 75-91.
52. Sapia, C., Blaschka, M., & Höfling, G. (2000). GraMMi: Using a standard repository management system to build a generic graphical modeling tool. Hawaii International Conference on System Sciences (HICSS-33), Vol. 33, Maui, Hawaii.
53. Scheer, A. W. (2000). ARIS - Business process modeling. Berlin, Heidelberg, Germany: Springer.
54. Soley, R. & The OMG Staff Strategy Group (2000). Model driven architecture. Needham, MA: Object Management Group.
55. Standish Group International. (2001). Extreme CHAOS (Research report). Available for ordering at http://www.standishgroup.com
56. Strahringer, S. (1996). Metamodellierung als instrument des methodenvergleichs. Eine evaluierung am beispiel objektorientierter analysemethoden. Herzogenrath, Germany: Shaker.
57. Subramani, M. & Walden, E. (2001). The impact of e-commerce announcements on the market value of firms. Information Systems Research, 12(2), 135-154.
58. Tam, K. Y. (1998). The impact of information technology investments on firm performance and evaluation: Evidence from newly industrialized economies. Information Systems Research, 9(1), 85-98.
59. Tan, F., B. & Hunter, M. G. (2002). The repertory grid technique: A method for the study of cognition in information systems. MIS Quarterly, 26(1), 39-57.
60. Uschold, M., King, M., Moralee, S., & Zorgios, Y. (1998). The enterprise ontology. The Knowledge Engineering Review, 13(1), 13-90.
61. van Hee, K. M., Somers, L. J., & Voorhoeve, M. (1991). A modeling environment for decision support systems. Decision Support Systems, 7(3), 241-251.
62. Venkatraman, N. (1994). IT-enabled business transformation: From automation to business scope redefinition. Sloan Management Review, 35(2), 73-87.
63. von Foerster, H. (1996). Wissen und Gewissen. Versuch einer Brücke. Frankfurt a. M., Germany: Suhrkamp.
64. Wand, Y. & Weber, R. (1989). An ontological evaluation of systems analysis and design methods. In E. Falkenberg & P. Lindgreen (Eds.), Information systems concepts: An in-depth analysis (pp. 79-107). Amsterdam, Netherlands: North-Holland.
65. Wand, Y. & Weber, R. (1990a). Mario Bunge's ontology as a formal foundation for information systems concepts. In P Weingartner & G. Dorn (Eds.), Studies on Mario Bunge's Treatise (pp. 123-149). Atlanta: Rodopi.
66. Wand, Y. & Weber, R. (1990b). An ontological model of an information systems. IEEE Transactions on Software Engineering, 16(11), 1282-1292.
67. Wand, Y. & Weber, R. (1993). On the ontological expressiveness of information systems analysis and design grammars. Journal of Information Systems, 3(4), 217-237.
68. Wand, Y. & Weber, R. (1995). On the deep structure of information systems. Information Systems Journal, 5(3), 203-223.
69. Weber, R. (2004). The rhetoric of positivism versus interpretivism: A personal view. MIS Quarterly, 28(1), 3-xiii.
70. Wedekind, H. (1981). Datenbanksysteme I. Eine konstruktive Einführung in die Datenverarbeitung in Wirtschaft und Verwaltung. Mannheim, Germany: B.I.-Wissensverlag.
71. Wixom, B. H. & Watson, H. J. (2001). An empirical investigation of the factors affecting data warehousing success. MIS Quarterly, 25(1), 17-41.