Theories in Business and Information Systems Engineering

An Erratum to this article was published on 20 July 2016

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Notes

  1. 1.

    In this context, it is worth mentioning that although data analytics may be able to predict what will happen in a specific context, similar to a theory, it is still theory-free, because it is generally not able to explain why it happens. Without theory, however, it must remain unknown whether these predictions can be generalized and to what extent they are robust to other application scenarios. Therefore, data analytics differs from the traditional paradigm of empirical analysis, which centers around the falsification or validation of hypotheses, which again requires a theory (although not necessarily in the same sense as proposed here – see, e.g., Diesing (2008) for a more elaborate discussion of the relationship between empirical and formal theory) from which these hypotheses are derived in the first place.

  2. 2.

    An instrument is among others (1) a means whereby something is achieved, performed, or furthered; (2) one used by another as a means or aid or tool (Safra et al. 2003).

  3. 3.

    The title of the book (Chadarevian and Hopwood 2004) has inspired this observation.

  4. 4.

    White (1994) distinguishes two different meanings of the word ‘concept’: (1) Concepts are general categories and thing of interest that are used for classification. Concepts thus have fuzzy boundaries. Additionally, classification depends on the context and deployment. (2) Concepts are all the knowledge that the person has, and associates with, the concept’s name. They are reasonable complete in terms of the business. Murphy (2001) and Thalheim (2007) define concepts in a more sophisticated form. According to White (1994), conceptions are systems of explanation.

References

  1. Avison D, Malaurant J (2014) Is theory king?: questioning the theory fetish in information systems. J Inf Technol 29(4):327–336

    Article  Google Scholar 

  2. Avison D, Kock N, Malaurent J (2016) Information systems action research. Special issue of the Journal of Management Information Systems, Call for papers. http://www.jmis-web.org/cfps/JMIS_SI_CFP_AR.pdf. Accessed 15 May 2016

  3. Backhouse RE (2012) The rise and fall of popper and lakatos in economics. In: Mäki U (ed) Philosophy of economics. Handbook of the philosophy of science. Elsevier, Amsterdam, pp 25–48

    Google Scholar 

  4. Balzer W, Moulines CU, Sneed JD (1987) An architectonic for science. Kluwer, Dordrecht

    Book  Google Scholar 

  5. Barad K (1996) Meeting the universe halfway: realism and social constructivism without contradiction. In: Nelson LH, Nelson J (eds) Feminism, science and the philosophy of science. Kluwer, London, pp 161–194

    Chapter  Google Scholar 

  6. Barad K (2003) Posthumanist performativity: toward and understanding of how matter comes to matter. Signs J Women Cult Soc 28(3):801–831

    Article  Google Scholar 

  7. Becker J, vom Brocke J, Heddier M, Seidel S (2015) In search of information systems (grand) challenges. Bus Inf Syst Eng 57(6):377–390

    Article  Google Scholar 

  8. Berger PL, Luckmann T (1966) The social construction of reality. A treatise in the sociology of knowledge, 1st edn. Doubleday, Garden City

    Google Scholar 

  9. Bhaskar R (1979) The possibility of natutralism, 1st edn. Harvester, Sussex

    Google Scholar 

  10. Bird A (2011) Thomas Kuhn. Stanford encyclopedia of philosophy. http://plato.stanford.edu/entries/thomas-kuhn/. Accessed 5 Jan 2016

  11. Bosco S, Braucher L, Wiechec M (2015) Encyclopedia britannica. Ultimate Reference Suite, Merriam-Webster

  12. Bostrom RP, Heinen JS (1977) MIS problems and failures: a socio-technical perspective part ii: the application of socio-technical theory. MIS Q 1(4):11–28

    Article  Google Scholar 

  13. Bostrom RP, Heinen JS (1977b) MIS problems and failures: a socio-technical perspective. Part I: the causes. MIS Q 1(3):17–32

    Article  Google Scholar 

  14. Box GE (1979) Robustness in the strategy of scientific model building. In: Launer RL, Wilkinson GN (eds) Robustness in statistics. Academic Press, New York, pp 201–236

    Google Scholar 

  15. Brooks FP (1975) The mythical man-month – essays on software engineering. Addison-Wesley, Reading

    Google Scholar 

  16. Brynjolfsson E, McAfee A (2014) The second machine age: work, progress, and prosperity in a time of brilliant technologies, 1st edn. W.W. Norton & Company, New York

    Google Scholar 

  17. Burton-Jones A, Grange C (2013) From use to effective use: a representation theory perspective. Inf Syst Res 24(3):632–658

    Article  Google Scholar 

  18. Bunge M (1998a) Philosophy of science – from explanation to justification, Rev edn. Transaction, New Brunswick

    Google Scholar 

  19. Bunge M (1998b) Philosophy of science – from problem to theory, Rev edn. Transaction, New Brunswick

    Google Scholar 

  20. Burton-Jones A, McLean ER, Monod E (2015) Theoretical perspectives in IS research: from variance and process to conceptual latitude and conceptual fit. Eur J Inf Syst 24(6):664–679

    Article  Google Scholar 

  21. Cartwright N (2005) The vanity of rigour in economics: theoretical models and Galilean experiments. In: Fontaine P, Leonard R (eds) The experiment in the history of economics. Routledge, London

    Google Scholar 

  22. Chadarevian S, Hopwood N (2004) (eds) Models – the third dimension of science. Stanford University Press

  23. Chmielewicz K (1994) Forschungskonzeptionen der Wirtschaftswissenschaft, 3rd edn. Schäffer-Poeschel, Stuttgart

    Google Scholar 

  24. Dasgupta P (2002) Modern economics and its critics. In: Mäki U (ed) Fact and fiction in economics: models, realism and social construction. Cambridge University Press, Cambridge, pp 57–89

    Chapter  Google Scholar 

  25. Davenport TH, Short JE (1990) The new industrial engineering: information technology and business process redesign. Sloan Manag Rev 31(4):11–27

    Google Scholar 

  26. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  27. Diesing P (2008) Patterns of discovery in the social sciences. AldineTransaction, New Brunswick

    Google Scholar 

  28. DiMaggio PJ (1995) Comments on “what theory is not”. Adm Sci Q 40(3):391–397

    Article  Google Scholar 

  29. Emery FE, Trist EL (1960) Socio-technical systems. In: Churchman CW, Verhulst M (eds) Management sciences, models and techniques, vol 2. Pergamon Press, London, pp 83–97

    Google Scholar 

  30. Fettke P (2006) Referenzmodellevaluation – Konzeption der strukturalistischen Referenzmodellierung und Entfaltung ontologischer Gütekriterien. Logos, Berlin

    Google Scholar 

  31. Fettke P (2008) Empirisches business engineering. Grundlegung und ausgewählte Ergebnisse. Habilitationsschrift. Universität des Saarlandes, Saarbrücken

    Google Scholar 

  32. Fettke P, Houy C, Loos P (2010) On the relevance of design knowledge for design-oriented business and information systems engineering. Bus Inf Syst Eng 2(6):347–358

    Article  Google Scholar 

  33. Fettke P, Loos P (2004) Referenzmodellierungsforschung. WIRTSCHAFTSINFORMATIK 46(5):331–340

    Article  Google Scholar 

  34. Feyerabend PK (1993) Against method. Verso, London

  35. Fink A, Kliewer N, Mattfeld D, Mönch L, Rothlauf F, Schryen G, Suhl L, Voß S (2014) Model-based decision support in manufacturing and service networks. Bus Inf Syst Eng 6(1):17–24

    Article  Google Scholar 

  36. Frank U (2006) Towards a pluralistic conception of research methods in information systems research. ICB Research Reports No. 7, Institute for Computer Science and Business Information Systems, University Duisburg-Essen, ISSN 1860-2770

  37. Frank U, Lange C (2004) Einführende Lehrbücher für Information Systems aus dem Blickwinkel der Wirtschaftsinformatik – Vorbild oder Bedrohung? Institut für Wirtschaftsinformatik der Universität Koblenz Landau

  38. Friedman M (1953) Essays in positive economics. University Press, Chicago

    Google Scholar 

  39. Frigg R, Hartmann S (2014) Models in science. http://plato.stanford.edu/entries/models-science. Accessed 21 Sept 2014

  40. Gibbard A, Varian HR (1978) Economic models. J Philos 75(11):664–677

    Article  Google Scholar 

  41. Gilboa I, Postlewaite A, Samuelson L, Schmeidler D (2014) Economic models as analogies. Econ J 124(578):F513–F533

    Article  Google Scholar 

  42. Gray J (2007) eScience: a transformed scientific method. http://research.microsoft.com/en-us/um/people/gray/talks/NRC-CSTB_eScience.ppt. Accessed 22 May 2016

  43. Gregor S (2006) The nature of theory in information systems. MIS Q 30(3):611–642

    Google Scholar 

  44. Griesemer J (2013) Formalization and the meaning of “theory” in the inexact biological sciences. Biol Theor 7(4):298–310

    Article  Google Scholar 

  45. Godfrey-Smith P (2003) Theory and reality. An introduction to the philosophy of science. University of Chicago, Chicago

    Book  Google Scholar 

  46. Guala F (2005) The methodology of experimental economics. Cambridge University Press, New York

    Book  Google Scholar 

  47. Hacking I (1983) Representing and intervening: introductory topics in the philosophy of natural science. Cambridge University Press, Cambridge

    Book  Google Scholar 

  48. Hacking I (1992) The self-vindication of the laboratory sciences. Sci Prac Culture 30

  49. Hacking I (1999) The social construction of what?. Harvard University Press, Cambridge

    Google Scholar 

  50. Hambrick DC (2007) The field of management’s devotion to theory: too much of a good thing? Acad Manag J 50(6):1346–1352

    Article  Google Scholar 

  51. Hastie T, Tibshirani R, Friedman J, Franklin J (2009) The elements of statistical learning: data mining, inference, and prediction. Springer, New York

    Book  Google Scholar 

  52. Hausman DM (1990) Supply and demand explanations and their ceteris paribus clauses. Rev Polit Econ 2(2):168–187

    Article  Google Scholar 

  53. Hausman DM (2013) Philosophy of economics. In: Zalta EN (ed) The Stanford encyclopedia of philosophy

  54. Hevner AR, March ST, Park J, Ram S (2004) Design science in information systems research. MIS Q 28(1):75–105

    Google Scholar 

  55. Hirschheim R, Klein HK (2003) Crisis in the IS field? A critical reflection on the state of the discipline. J Assoc Inf Syst 4(5):237–293

    Google Scholar 

  56. Hofstede G, Hofstede GJ, Minkow M (2010) Cultures and organizations: software of the mind: intercultural cooperation and its importance for survival. McGraw-Hill, New York

    Google Scholar 

  57. Houy C, Fettke P, Loos P (2015) Stylized facts as an instrument for literature review and cumulative information systems research. Commun Assoc Inf Syst (CAIS) 37(1):225–256

    Google Scholar 

  58. Houy C, Frank J, Niesen T, Fettke P, Loos P (2014) On the usage of theories in the field of Wirtschaftsinformatik – a quantitative literature analysis. In: Loos P (ed) Veröffentlichungen des Instituts für Wirtschaftsinformatik. Saarbrücken: IWi-Heft Nr. 198, Institut für Wirtschaftsinformatik im Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI)

  59. Hovorka DS (2004) Explanation and understanding in information systems. In: 10th Americas conference on information systems, AIS, New York

  60. Hovorka DS, Boell SK (2015) Cogency and contribution in IS research. Paper presented at the 36th international conference on information systems, Ft. Worth, TX

  61. Hultin L, Mähring M (2014) Visualizing institutional logics in sociomaterial practices. Inf Org 24(3):129–155

    Article  Google Scholar 

  62. Introna LD, Hayes N (2011) On sociomaterial imbrications: what plagiarism detection systems reveal and why it matters. Inf Org 21(2):107–122

    Article  Google Scholar 

  63. Johri A (2011) Sociomaterial bricolage: the creation of location-spanning work practices by global software developers. Inf Softw Technol 53(9):955–968

    Article  Google Scholar 

  64. Jones M (2014) A matter of life and death: exploring conceptualizations of sociomateriality in the context of critical care. MIS Q 38(3):895–A896

    Google Scholar 

  65. Kerlinger FN (1986) Foundations of behavioral research. Holt, Rinehart and Winston, Fort Worth

    Google Scholar 

  66. Kindler E (2006) On the semantics of EPCs: resolving the vicious circle. Data Knowl Eng 56:23–40

    Article  Google Scholar 

  67. Kondakov NI (1974) Teorija. In Logics dictionary. Nauka, Moscov

    Google Scholar 

  68. Koopmans TC (1957) Three essays on the state of economic analysis. McGraw-Hill, New York

    Google Scholar 

  69. Kuhn TS (1964) The structure of scientific revolutions. University of Chicago Press, Chicago

  70. Kuhn T (1965) Logic of discovery or psychology of research. In: Lakotos I, Musgrave A (eds) Criticism and the growth of knowledge, vol. 4. Proceedings of the international colloquium in the philosophy of science, vol. 4. Cambridge University Press, Cambridge, pp 1–23

  71. Kuhn T (1996) The structure of scientific revolutions. University of Chicago Press, Chicago

    Book  Google Scholar 

  72. Ladyman J (2001) Understanding philosophy of science. Taylor & Francis, Milton Park

    Google Scholar 

  73. Larsen K, Monarchi D, Hovorka D, Bailey C (2008) Analyzing unstructured text data: using latent categorization to identify intellectual communities in information systems. Decis Support Syst 45(4):884–896

    Article  Google Scholar 

  74. Latour B, Woolgar S (1986) Laboratory life: the construction of scientific facts. Princeton University Press, Princeton

  75. Laudan L (1983) he demise of the demarcation problem. Physics, philosophy and psychoanalysis. Springer, Dordrecht, pp 111–127

    Book  Google Scholar 

  76. Lauterbach J, Kahrau F, Mueller B, Maedche A (2014) What makes “the system” tick? – explaining individuals’ adaptation behavior towards effective use in an enterprise system implementation. In: 35th International conference on information systems (ICIS 2014), Auckland

  77. Latour B (2013) An inquiry into modes of existence. Harvard University Press

  78. Lee AS (1991) Architecture as a reference discipline for MIS. Management Information Systems Research Center, Curtis L, Carlson School of Management, University of Minnesota

  79. Lee AS (2014) Theory is king? But first, what is theory? J Inf Technol 29(4):350–352

    Article  Google Scholar 

  80. Leonardi PM (2012) Materiality, sociomateriality, and socio-technical systems: what do these terms mean? how are they different? do we need them? In: Leonardi PM, Nardi BA, Kallinikos J (eds) Materiality and organizing: social interaction in a technological world. Oxford University Press, Oxford, pp 25–48

    Chapter  Google Scholar 

  81. Leonardi PM (2013) Theoretical foundations for the study of sociomateriality. Inf Org 23(2):59–76

    Article  Google Scholar 

  82. Liang H, Peng Z, Xue Y, Guo X, Wang N (2015) Employees’ exploration of complex systems: an integrative view. J Manag Inf Syst 32(1):322–357

    Article  Google Scholar 

  83. Lim S, Saldanha T, Malladi S, Melville NP (2009) Theories used in information systems research: identifying theory networks in leading IS journals. In: ICIS proceedings, Phoenix, Arizona

  84. Locke EA (2007) The case for inductive theory building. J Manag 33(6):867–890

    Google Scholar 

  85. Lucas RE (1980) Methods and problems in business cycle theory. J Money Credit Bank 12(4):696–715

    Article  Google Scholar 

  86. Lyytinen K, King JL (2004) Nothing at the center? Academic legitimacy in the information systems field. J Assoc Inf Syst 5(6):220–246

    Google Scholar 

  87. Maaß W, Storey VC (2015) Logical design patterns for information system development problems. In: Johannesson P, Lee ML, Liddle SW, Opdahl AL, Pastor López Ó (eds) ER 2015 (LNCS 9381). Springer, Berlin, pp 134–147

  88. Mäki U (1992) On the method of isolation in economics. In: Dilworth C (ed) Idealization IV: intelligibility in science. Rodopi, Amsterdam

    Google Scholar 

  89. Mäki U (2012) Realism and antirealism about economics. In: Mäki U (ed) Philosophy of economics. Handbook of the philosophy of science, vol 13. Elsevier, Amsterdam, pp 3–24

    Google Scholar 

  90. Markus LM (2014) Maybe not the king, but an invaluable subordinate: a commentary on Avison and Malaurant’s advocacy of ’theory light’ IS research. J Inf Technol 29(4):341–345

    Article  Google Scholar 

  91. McCloskey DN (1984) The literary character of economics. Daedalus 113(3):97–119

    Google Scholar 

  92. Mertens P (2012) Integrierte Informationsverarbeitung. Operative Systeme in der Industrie, 18th edn. GWV Fachverlage, Wiesbaden

  93. Mertens P, Barbian D (2015) Beherrschung systemischer Risiken in weltweiten Netzen. Inform Spektrum 38(4):283–289

    Article  Google Scholar 

  94. Mingers J (2000) The contribution of critical realism as an underpinning philosophy for OR/MS and systems. J Oper Res Soc 51(11):1256–1270

    Article  Google Scholar 

  95. Morgan MS, Knuuttila T (2012) Models and modelling in economics. In: Mäki U (ed) Philosophy of economics. Handbook of the philosophy of science, vol 13. Elsevier, Amsterdam, pp 49–87

    Google Scholar 

  96. Mueller B, Raeth P (2012) What you see is what you get? – a comparison of theoretical lenses to study technology in organizations. In: 33 international conference on information systems (ICIS 2012), Orlando

  97. Mueller B, Raeth P, Faraj S, Kautz K, Robey D, Schultze U (2012) On the methodological and philosophical challenges of sociomaterial theorizing: an overview of competing conceptualizations. In: 33 international conference on information systems (ICIS 2012), Orlando

  98. Müller J (1990) Arbeitsmethoden der Technikwissenschaften – Systematik, Heuristik, Kreativität. Springer, Berlin

    Book  Google Scholar 

  99. Murphy GL (2001) The big book of concepts. MIT Press

  100. Mutch A (2010) Technology, organization, and structure – a morphogenetic approach. Org Sci 21(2):507–520

    Article  Google Scholar 

  101. Mutch A (2013) Sociomateriality – taking the wrong turning? Inf Org 23(1):28–40

    Article  Google Scholar 

  102. North DC (1991) J Econ Perspec 5(1):97–112

    Article  Google Scholar 

  103. Orlikowski WJ (2010) The sociomateriality of organisational life: considering technology in management research. Cambridge J Econ 34(1):125–141

    Article  Google Scholar 

  104. Orlikowski WJ, Scott SV (2008) Sociomateriality: challenging the separation of technology, work and organization. Acad Manag Ann 2(1):433–474

    Article  Google Scholar 

  105. Pickering A (1992) From science as knowledge to science as practice. Sci Prac Culture 4

  106. Pickering A (1995) The mangle of practice: time, agency, and science. University of Chicago Press, Chicago

    Book  Google Scholar 

  107. Plott C (1987) Dimensions of parallelism: some policy applications of experimental methods. In: Roth A (ed) Laboratory experimentation in economics: six points of view. Cambridge University Press, New York

    Google Scholar 

  108. Popper KR (1957) The poverty of historicism. Routledge, London

    Google Scholar 

  109. Popper K (1980) The logic of scientific discovery. Unwin Hyman, London

    Google Scholar 

  110. Riemer K, Johnston R (2012) Place-making: a phenomenological theory of technology appropriation. Paper presented at the 33rd international conference on information systems, Orlando

  111. Robinson J (1962) Essays in the theory of economic growth. Macmillan, London

    Book  Google Scholar 

  112. Rorty R (1999) Philosophy and social hope. Penguin Books, New York

    Google Scholar 

  113. Roth AE (2002) The economist as engineer: game theory, experimentation, and computation as tools for design economics. Econometrica 70(4):1341–1378

    Article  Google Scholar 

  114. Safra JE, Yeshua I et al. (2003) Encyclopædia britannica. Merriam-Webster

  115. Schauer C, Strecker S (2007) Vergleichende Literaturstudie aktueller einführender Lehrbücher der Wirtschaftsinformatik. WIRTSCHAFTSINFORMATIK 49(2):136–147

    Article  Google Scholar 

  116. Scheer A-W (1994) ARIS toolset: a software product is born. Inf Syst 19(8):607–624

    Article  Google Scholar 

  117. Schultze U (2011) The avatar as sociomaterial entanglement: a performative perspective on identity, agency and world-making in virtual worlds. In: Galletta DF, Liang TP (eds) 32 international conference on information systems (ICIS 2011), Shanghai

  118. Schwab A, Abrahamson E, Starbuck WH, Fidler F (2011) Perspective-researchers should make thoughtful assessments instead of null-hypothesis significance tests. Org Sci 22(4):1105–1120

    Article  Google Scholar 

  119. Scott SV, Orlikowski WJ (2013) Sociomateriality – taking the wrong turning? A response to Mutch. Inf Org 23(2):77–80

    Article  Google Scholar 

  120. Scott SV, Orlikowski WJ (2014) Entanglements in practice: performing anonymity through social media. MIS Q 38(3):873–893

    Google Scholar 

  121. Seiffert H, Radnitzky G (1992) (eds) Handlexikon zur Wissenschaftstheorie. Deutscher Taschenbuch Verlag, München

  122. Semper G (1851) Die vier Elemente der Baukunst. Braunschweig

  123. Steininger K, Riedl R, Roithmayr F, Mertens P (2009) Fads and trends in business and information systems engineering and information systems research – a comparative literature analysis. Bus Inf Syst Eng 1(6):411–428

    Article  Google Scholar 

  124. Straub DW (2009) Editor’s comments: why top journals accept your paper. MIS Q 33(3):iii–ix

  125. Strong DM, Johnson SA, Tulu B, Trudel J, Volkoff O, Pelletier LR, Bar-On I, Garber L (2014) A theory of organization-EHR affordance actualization. J Assoc Inf Syst 15(2):53–85

    Google Scholar 

  126. Strong DM, Volkoff O (2010) Understanding organization – enterprise system fit: a path to theorizing the information technology artifact. MIS Q 34(4):731–756

    Google Scholar 

  127. Sugden R (2000) Credible worlds: the status of theoretical models in economics. J Econ Methodol 7(1):1–31

    Article  Google Scholar 

  128. Suppe F (1989) The semantic conception of theories and scientific realism. University of Illinois Press, Urbana

    Google Scholar 

  129. Sutton RI, Staw BM (1995) What theory is not. Adm Sci Q 40(3):371–384

    Article  Google Scholar 

  130. Thalheim B (2007) The conceptual framework to user-oriented content management. In: Information modelling and knowledge bases, vol. XVIII of frontiers in artificial intelligence and applications. IOS Press, Amsterdam

  131. Thalheim B (2010) Towards a theory of conceptual modelling. J Univers Comput Sci 16(20):3102–3137. http://www.jucs.org/jucs_16_20/towards_a_theory_of. Accessed 22 May 2016

  132. Thalheim B (2011) The theory of conceptual models, the theory of conceptual modelling and foundations of conceptual modelling. In: Embley DW, Thalheim B (eds) The handbook of conceptual modeling: its usage and its challenges. Springer, Berlin, pp 547–580

    Google Scholar 

  133. Thalheim B (2012a) The art of conceptual modelling. In: Information modelling and knowledge bases XXII, vol. 237 of frontiers in artificial intelligence and applications. IOS Press, Amsterdam, pp 149–168

  134. Thalheim B (2012b) The science and art of conceptual modelling. In: Hameurlain A et al (eds) TLDKS VI, LNCS 7600. Springer, Heidelberg, pp 76–105

    Google Scholar 

  135. Thalheim B (2014) The conceptual model – an adequate and dependable artifact enhanced by concepts. In: Information modelling and knowledge bases, vol. XXV of frontiers in artificial intelligence and applications, 260. IOS Press, Amsterdam, pp 241–254

  136. Thalheim B, Nissen I (2015a) (eds) Wissenschaft und Kunst der Modellierung. De Gruyter, Ontos Verlag, Berlin

  137. Thalheim B, Nissen I (2015b) Wissenschaft und Kunst der Modellierung: Modelle, Modellieren, Modellierung, Fallstudien zum Modellbegriff. De Gryuter, Boston

    Book  Google Scholar 

  138. Thiel C (2004) Theorie. In Mittelstrass J (ed) Enzyklopädie: Philosophie und Wissenschaftstheorie, vol. IV. Metzler, Stuttgart, pp 260–270

  139. Turban E, Sharda R, Delen D (2014) Business intelligence and analytics: systems for decision support. Pearson, London

    Google Scholar 

  140. Volkoff O, Strong DM, Elmes MB (2007) Technological embeddedness and organizational change. Org Sci 18(5):832–848

    Article  Google Scholar 

  141. Wagner EL, Newell S, Piccoli G (2010) Understanding project survival in an ES environment: a sociomaterial practice perspective. J Assoc Inf Syst 11(5):276–297

    Google Scholar 

  142. Wand Y, Weber R (1988) An ontological analysis of some fundamental information systems concepts. Paper presented at the international conference on information systems (ICIS), Minneapolis, Minnesota

  143. Weber R (2012) Evaluating and developing theories in the information systems discipline. JAIS 13(1):1–30

    Google Scholar 

  144. Wegener A (1966) The origin of continents and oceans. Courier Corporation

  145. Weick KE (1989) Theory construction as disciplined imagination. Acad Manag Rev 14(4):516–531

    Google Scholar 

  146. Weick K (2005) Definition of “theory”. In: Nicholson N, Audia P, Pillutla MM (eds) The Blackwell encyclopedia of management, vol. 11. Organizational behavior. Blackwell, Oxford

  147. White RT (1994) Commentary: conceptual and conceptional change. Learn Instr 4:117–121

    Article  Google Scholar 

  148. Williams R, Edge D (1996) The social shaping of technology. Res Policy 25(6):865–899

    Article  Google Scholar 

  149. Winther RG (2015) The structure of scientific theories. In: Zalta EN (ed) The Stanford encyclopedia of philosophy

  150. Woodward J (1958) Management and technology, 1st edn. Her Majesty’s Stationery Office, London

  151. Zelewski S (1995) Das Konzept technologischer Theorietransformationen – eine Analyse aus produktionswirtschaftlicher Perspektive. Universität Leipzig, Institut für Produktionswirtschaft und industrielle Informationswirtschaft

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Prof. Dr. Martin Bichler.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Bichler, M., Frank, U., Avison, D. et al. Theories in Business and Information Systems Engineering. Bus Inf Syst Eng 58, 291–319 (2016). https://doi.org/10.1007/s12599-016-0439-z

Download citation

Keywords

  • Information System
  • Technology Acceptance Model
  • Robust Theory
  • Business Informatics
  • Enterprise Architecture Management