Abstract
The enterprise information systems engineering methodologies do not yet have a theoretical framework. One and only exception is data model design technique which is based on the internal modelling paradigm, because it uses concept of functional dependence in the normalization procedure. A theoretical soundness of knowledge-based approach towards enterprise IS engineering is assured by the use of principles of second-order cybernetics. An enterprise is considered as an entirety of self-managed activities correlated by management functional dependencies. New internal modelling views—a control view and a self-managing view—are included for capturing the management transactions—the key components of the subject domain knowledge. A normalized systems development life cycle is defined as required component of knowledge-based IS development.
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References
Ackoff, R. L. (1971). Towards a system of Systems concepts. Management Sciences, 17(11), 661–671.
Bertolazzi, P., Krusich, C., & Missikoff, M. (2001). An approach to the definition of a core enterprise ontology: CEO. Proceedings of the International Workshop on Open Enterprise Solutions: Systems, Experiences, and Organizations (OES-SEO 2001), Rome, Italy.
Booch, G., Jacobson, I., & Rumbaugh, J. (2000). OMG unified modelling language specification, Version 1.3 (1st ed.) March 2000.
Cano, J. J. (2003). Technological frames recursive construction approach: A systemic theory for information technology incorporation in organizations. In Critical reflections on information systems: A systemic approach. IDEA Group publishing, 2003, pp. 31–45.
Čaplinskas, A. (1996). Software systems engineering basics (Programų sistemų inžinerijos pagrindai) I part, Matematikos ir informatikos institutas. Vilnius: Mokslo aidai.
Čaplinskas, A. (1998). Software systems engineering basics (Programų sistemų inžinerijos pagrindai) II part, Matematikos ir informatikos institutas. Vilnius: Mokslo aidai.
Carlsson, S. A. (2010). Design science research in information systems: A Critical realistic approach. In A. Hevner & S. Chatterjee (Eds.), Design research in Information Systems (pp. 209–233). New York: Springer.
Crowston, K., Rubleske, J., & Howison, J. (2006). Coordination theory: A ten-year retrospective. In P. Zhang and D.Galletta (Eds.), Human computer interaction and management Information Systems: foundations. advances in Management Information Systems, (vol. 5, pp. 120–140). Armonk, NY: M. E. Sharpe.
Dietz, J. L. G. (2003). The atoms, molecules and fibers of organizations. Data & Knowledge Engineering, 47(3), 301–325.
Dietz, J. L. G. (2006). Enterprise ontology. Theory and methodology. Springer.
Falkenberg, E. D. et. al. (1998). FRISCO—A framework of information system concepts—The FRISCO report. IFIP WG 8.1 Task Group FRISCO. ftp://ftp.leidenuniv.nl/pub/rul/fri-full.zip.
Galliers, R. D. (2007). Strategizing for agility: confronting Information Systems Inflexibility in dynamic Environments. In Agile Information Systems: Conceptualization, Construction, and Management, (pp. 1–15) Elsevier Inc.
Geerts, G. L., & McCarthy, W. E. (1999). An accounting object infrastructure for knowledge based enterprise models. IEEE Intelligent Systems & Their Application, 14(4), 89–94.
Geerts, G. L., & McCarthy, W. E. (2002). An ontological analysis of the economic primitives of the extended REA enterprise information architecture. International Journal of Accounting Information Systems, 3.
Giaglis, G. M., Papakiriakopoulos, D. A., & Doukidis, G. I. (2000). An analytical framework and a development method for inter-organisational business process modelling. International Journal of. Simulation, 2(2), 5–15.
Gregor, D. S., & Hart , D. N.(2005). Information systems foundations: Constructing and criticising (p. 221). ANU E Press.
Gudas, S. (1991.1). A framework for research of information processing hierarchy in enterprise. Mathematics and Computers in Simulation, 33(4): Dec. 1991, North Holland, 281–285.
Gudas S. (1991.2). Organizational system as hierarchy of information processes. applications of artificial Intelligence in Engineering. In G. Rzevski, R. Adey (Eds.), Proceedings of the 6th International Conference on artificial Intelligence In engineering (AIENG 91), Oxford, England, Jun, 1991, pp. 1037–1050.
Gudas, S. (1993). Taxonomy of coordination processes, applications of artificial intelligence in engineering VIII. In G. Rzevski, J.J. Pastor, R. Adey (Eds.), Vol. 1—Design, Methods and Techniques Editors: A Proceedings of the 8th International Conf. on Applications of Artificial Intelligence in Engineering (AIENG 93), (pp. 383–389) Univ. Waterloo, Toulouse, France. ISBN: 1-85312-256-4.
Gudas, S. (1994). Hierarchy of information processing in organizational systems. In Proceedings of the Baltic Workshop on national Infrastructure databases: problems, methods, Experiences (Baltic dB’94 Workshop) (vol. 2, pp. 112–120). Vilnius: mokslo aidai.
Gudas, S. (2012a). Foundations of the information systems’ engineering theory [Lith.] (informacijos sistemų inžinerijos teorijos pagrindai). Vilnius University, Vilnius, 384 p.
Gudas, S. (2012b). Knowledge-based enterprise framework: A management control view, new research on knowledge management models and methods (Huei Tse Hou (Ed.), ISBN: 978-953-51-0190-1, InTech, http://www.intechopen.com/books/new-research-on-knowledge-management-models-and-methods/knowledge-based-enterprise-framework-a-management-control-view.
Gudas, S., & Lopata, A. (2016) Towards internal modelling of the information systems application domain. Informatica, 27(1), 1–29. ISSN: 0868-4952
Gudas, S., Skersys, T., & Lopata, A. (2004). Framework for knowledge–based IS engineering. In T. Yakhno (ed.), Proceedings of third international conference Advances in Information systems (ADVIS2004), Izmir, Turkey, October 20–22, LNCS 3261, pp. 512–522.
Gudas, S., Skersys, T., & Lopata, A. (2005). Approach to enterprise modelling for information systems engineering. Informatica 2005, 16(2), 175–192. ISSN 0868-4952.
Hanseth, O., & Lyytinen, K. (2004). Theorizing about the design of Information Infrastructures: Kernel Theories and principles, case Western reserve University, USA. Sprouts: Working Papers on Information Systems, 2004, 4(12). pp. 207–241, http://sprouts.aisnet.org/4-12, ISSN1535-6078.
Henderson, J., & Venkatraman, N. (1990). Strategic alignment: A model for organization transformation via information technology. Working paper 322390. Sloan School of management, MIT.
Heylighen, F., & Joslyn, C. (2001). Cybernetics and Second-Order Cybernetics. In: R.A. Meyers (Ed.), Encyclopedia of physical science & technology (3rd ed.). Academic Press, New York.
Hirschheim, R., & Klein, H. K. (1989). Four paradigms of information systems development. Communications of the ACM, 32(10), 1199–1216.
Hirschheim, M. L., & Klein, H. K. (2003). Crisis in the IS field? A critical reflextion on the state of the discipline. Journal of the Association for Information Systems, 4(5), 237–293.
Iivari, J. (2003). Towards Information systems as a science of meta-artefacts, communications of the association of Information Systems, 12(37), November, 2003, 568–581.
Information Systems Theory. Explaining and predicting our digital society (2012). Vol.1 and Vol.2.
ISO 15704:2000 (2000). Industrial automation systems. Requirements for enterprise-reference architectures and methodologies. https://www.iso.org/obp/ui/#iso:std:iso:15704:ed-1:v1:en.
Jacobson, I., & Meyer, B. (2009). Methods need theory, August 06, 2009 http://drdobbs.com/architectureanddesign/219100242 [=i8r4ta 2010-08-28].
Jarke, M., & Pohl, K. (1993). Establishing visions in context—towards a model of requirements processes. Proc. 14th Intl. Conf. Information Systems, Orlando, Fl, 1993, 23–34.
Khazanchi, D., & Munkvold, B. E. (2001). Expanding the notion of relevance in IS research: A proposal and Some recommendations. Communications of the Association for Information Systems, 6(14). http://aisel.aisnet.org/cais/vol6/iss1/14.
Langefors, B. (1966). Theoretical analysis of information systems. Lund: Studentlitteratur. 1966.
Langefors, B. (1987). Distinction between data and information. Knowledge, Information Age, 9(2), 89–91.
van Lamsweerde, A. (2001). Goal-oriented requirements engineering: A guided tour, invited paper for RE’01—5th IEEE Int (pp. 249–263). Toronto, August: Symposium on Requirements Engineering.
Lapouchnian. A. (2005). Goal-oriented requirements engineering: An overview of the current research. http://www.cs.utoronto.ca/~alexei/pub/Lapouchnian-Depth.pdf.
Larsen, K. R., Allen, G., Vance, A., & Eargle, D. (Eds.) (2015). Theories Used in IS Research Wiki. Retrieved Sept 22 2015 from http://IS.TheorizeIt.org.
Malone, T. W., & Crowston K. (1990). What is Ccoordination Theory and how can it help design Cooperative Work Systems. Proceedings of the Conference on Computer support cooperative work (CSCW 90). Los Angeles, California, October, 1990.
Malone, W. K., Lee, J., & Pentland, B. (1993). Tools for inventing organizations: Toward a handbook of organizational processes. In Proceedings of the 2nd IEEE Workshop on Enabling Technologies Infrastructure for Collaborative Enterprises. Morgantown, WV, April 20–22.
Mesarovic, M. D., Macko, M., & Takahara, Y. (1970). Theory of hierarchical, multilevel, systems (p. 344). N.Y.: Academic Press.
Nabende, P., Ahimbisibwe, B., & Lubega, J. T. (2009). Relationship between Information systems development paradigms and methods. In J. Kizza, K. Lynch, R. Nath, J. Aisbett, & P. Vir (Eds.), Special topics in computing and ICT research: Strengthening the role of ICT in development (pp. 75–84). Uganda: Fountain publishers.
Nüttgens, M. (1997). Event-driven process chain (EPK)—Some links and selected publications. http://www.iwi.uni-sb.de/nuettgens/EPK/epk.htm.
O’Leary, D. E. (2010). Enterprise ontologies: Review and an activity theory approach. International Journal of Accounting Information Systems, 11(2010), 336–352.
Olsen, T. (2010). Most popular theories in information systems research. http://www.timolsen.com/2010/01/26/most-popular-theories-in-information-systems-research/.
Oxford English Dictionary (OED). (2015). http://www.oed.com/.
Rummler, G. A. & Brache, A. P. (1991). Managing the white space in the organization chart. Supervision, 91, 52(5).
Scheer, A.-W. (1994). Business process engineering—Reference models for industrial enterprises (2nd ed.). Berlin: Springer.
Smith, J. M., & Smith, D. C. P. (1977). Data base abstractions: Aggregation and generalization. ACM Transactions on Database Systems, 2(2), 105–133.
Umpleby, S. (2001). What comes after second order cybernetics?. http://www.gwu.edu/~umpleby/recent_papers/2001_what_comes_after_second_order_cybernetics.htm.
Uschold, M., King, M., Stuart, S., & Zorgios Y. (1996). The enterprise ontology March 27, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.39.4442&rep=rep1&type=pdf.
Lopata A., Veitaite, I., Gudas, S., & Butleris, R. (2014). CASE tool component—knowledge-based subsystem. UML Diagrams Generation Process, Transformations in Business & Economics, 13, 2B (32B), 161–173.
Wren, A. D., Bedeian, A. G., & Breeze, J. D. (2002). The foundations of Henri Fayol’s administrative theory. Management Decision, 40(9), 906–918.
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Gudas, S. (2017). Information Systems Engineering and Knowledge-Based Enterprise Modelling: Towards Foundations of Theory. In: Kavoura, A., Sakas, D., Tomaras, P. (eds) Strategic Innovative Marketing. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-33865-1_59
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