Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

The Laws of Information Systems


Affiliations
1 Department of Information Management and Decision Sciences College of Business and Technology Western Illinois University Macomb, IL 61455
     

   Subscribe/Renew Journal


Routine scientific activity consists of observing a phenomenon of interest, theorizing about it and carrying out tests. Laws are definite and interesting relationships among variables that are by-products of this activity. They are the basis for knowledge in a discipline and serve to give it its identity. Laws are common in scientific disciplines such as Mathematics and Chemistry. Applied fields such as engineering are characterized more by the application of knowledge while humanistic disciplines such as management tend to be characterized by paradigms or complex relationships between amorphous variables. Information systems is an amalgamated discipline that shares some characteristics with sociology, engineering as well as with scientific disciplines. To the extent that it is a science, we have a number of laws and theories; to the extent that it is engineering and sociology, we have a number of paradigms and principles. In this paper, a number of laws, paradigms and principles concerning information systems and its development are discussed. The subject of these range from transaction volumes to the nature of good systems. They invite further elaboration, testing, analysis and refutation.

Keywords

Laws of Information Systems, Laws in Social Sciences, Technology Laws, Software Design Principles, Software Development Principles, Information System Paradigms, Information Systems Philosophy
User
Notifications

  • Alcyone Systems (2004), The Laws List, http://www.alcyone.com/max/physics/laws/, Accessed April 2005.
  • Amaravadi, C (2003), World and Business Computing 2051, Journal of Strategic Information Systems 12(4): 373-386.
  • Amaravadi, C and Daneshgar, F (2003), The Role of Data Mining in Organizational Cognition, in Hamid Nemati and Christopher Barko (Eds), Organizational Data Mining, pp. 46-60, Idea Group Publishing, Hershey PA.
  • Ashby, R (1956), An Introduction to Cybernetics, Chapman & Hall, London.
  • Axelrod, R (1976), Structure of Decision: The Cognitive Maps of Political Elites, Princeton, NJ: Princeton University Press.
  • Carnap, R (1966), Philosophical Foundations of Physics, Basic Books, New York.
  • Chatterjee, S (2001), Information Systems Research and Relevance, Communications of the AIS, 6(8).
  • Ciborra, C (1991), From Thinking To Tinkering: The Grassischolar_mains Of Strategic Information Systems, Proceedings of the Twelfth International Conference on Information Systems, December 16-18, pp 283-291, ICIS, New York, USA.
  • Coase, R (1937), The Nature of the Firm, Economica 4(16): 386-405.
  • Cox, W, and Love, J (1996), 40 Years of the US Interstate Highway System: An Analysis, http://www.publicpurpose.com/freeway1.htm, current May 2004.
  • Cunningham, H, Maynard, D, Tablan, V, Ursu, C, and Bontcheva, K (2001), Developing Language Processing Components with GATE , GATE v2.0 User Guide, University of Sheffield.
  • Davis, F D (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly 13(3): 319-340.
  • DeLone W H and McLean, E R (1992), Information Systems Success: The Quest for the Dependent Variable, Information Systems Research 3(1): 60-95.
  • DetNews.Com (2004), Earliest Autos Copied Styling from Horse Drawn Carriages, May 12, http://info.detnews.com/joyrides/story/index.cfm?id=467, Current April 2005.
  • Dirac, P A M (1982), Principles of Quantum Mechanics, Clarendon Press, Oxford, U.K.
  • Dvorak, A and Merrick, N (1936), Typewriting Behavior: Psychology Applied to Teaching and Learning Typewriting, Freelance Communications, Lake Country, BC.
  • Drucker, P F (1988), The Coming of the New Organization, Harvard Business Review 66(1): 45-53.
  • Dubin, R (1978), Theory Building, The Free Press: New York.
  • Epaynews.com (2005), http://www.epaynews.com/statistics/transactions.html, current April 2005.
  • Fallows, J (1993), Crashworthy Speedster, Atlantic Monthly 270(2): 103-105.
  • Fjeldstad, O, and Konsynski, B R, (1986), The Role of Cognitive Apportionment in Information Systems, pp. 84-98, The Seventh International Conference on Information Systems, San Diego, California.
  • Habermas, J (1984), The Theory of Communicative Action: Reason and Rationalization of Society (volume I), Beacon Press, Boston, MA.
  • Holly, S (1996), Heavy e-transactions to burden banks, Bank Systems and Technology 33(3): 52.
  • Hirschheim, R and Klein, H (1994): Realizing Emancipatory Principles in Information Systems Development: The Case for Ethics, MIS Quarterly 18(1): 83-109.
  • Kardashev, N S (1964), Transmission of Information by Extraterrestrial Civilizations, Soviet Astronomy 8: 217.
  • Kuhn, Thomas S (1963), The Structure of Scientific Revolutions , Chicago, IL: The University of Chicago Press.
  • Linz, P (2001), An Introduction to Formal Languages and Automata (3rd Ed), Jones and Bartlett, MA, USA.
  • Mardesich, J (1999), What’s Weighing Down Microsoft?, Fortune, January 11: 147-148.
  • Mcfadden, F, Hoffer, J, and Prescott, M (2004), Database Management (7th ed.), New York: Benjamin/Cummings.
  • Moore, G (1965), Cramming More Components onto Integrated Circuits, Electronics 38(8): 114-115.
  • Newell, A and Simon, H A (1981), Computer Science as Empirical Inquiry: Symbols and Search ACM Press, New York, NY.
  • Our Documents (2005), National Interstate and Defense Highway Act of 1956, http://www.ourdocuments.gov/, current April 2005.
  • Powell, E (2001), Floppy Disks: The Next Generation, Office Solutions 18(1).
  • Scheier, R L (2003), The Price of E-Payment, Computerworld 37(21): 25-26
  • Sedgwick, J (1993), The Complexity Problem, Atlantic Monthly 270(3): 96-104.
  • Stair, R and Reynolds, G W (2003), Principles of Information Systems (6th Ed), Course Technology, Canada, 6th Ed.
  • Taylor, C P (2004), Engines of Growth, Brandweek, 45(11): 26
  • Timoshenko, S and Young, D H (1995), Engineering Mechanics (4th Ed), McGraw-Hill, New York.
  • Two Lane Roads (2005), Automobile History Timeline, http://www.two-lane.com/triviatimeline.html, current April 2005.
  • Unicode (2005), http://www.unicode.org/, current April 2005.
  • Visa International (2004), Annual Report, http://corporate.visa.com, current April 2005.
  • Vogelstein, F (2003), Can Google Grow Up?, Fortune 148(12): 102-112.
  • Yourdon, E and Constantine, L (1979), Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design, Yourdon Press: Englewood Cliffs, NJ.

Abstract Views: 263

PDF Views: 1




  • The Laws of Information Systems

Abstract Views: 263  |  PDF Views: 1

Authors

Chandra S. Amaravadi
Department of Information Management and Decision Sciences College of Business and Technology Western Illinois University Macomb, IL 61455

Abstract


Routine scientific activity consists of observing a phenomenon of interest, theorizing about it and carrying out tests. Laws are definite and interesting relationships among variables that are by-products of this activity. They are the basis for knowledge in a discipline and serve to give it its identity. Laws are common in scientific disciplines such as Mathematics and Chemistry. Applied fields such as engineering are characterized more by the application of knowledge while humanistic disciplines such as management tend to be characterized by paradigms or complex relationships between amorphous variables. Information systems is an amalgamated discipline that shares some characteristics with sociology, engineering as well as with scientific disciplines. To the extent that it is a science, we have a number of laws and theories; to the extent that it is engineering and sociology, we have a number of paradigms and principles. In this paper, a number of laws, paradigms and principles concerning information systems and its development are discussed. The subject of these range from transaction volumes to the nature of good systems. They invite further elaboration, testing, analysis and refutation.

Keywords


Laws of Information Systems, Laws in Social Sciences, Technology Laws, Software Design Principles, Software Development Principles, Information System Paradigms, Information Systems Philosophy

References