Journal articles on the topic '080611 Information Systems Theory'

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1

Peck, Simon, John Burch, and Gary Grudnitski. "Information Systems: Theory and Practice." Journal of the Operational Research Society 41, no. 10 (October 1990): 991. http://dx.doi.org/10.2307/2583281.

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2

Peck, Simon. "Information Systems: Theory and Practice." Journal of the Operational Research Society 41, no. 10 (October 1990): 991–92. http://dx.doi.org/10.1057/jors.1990.155.

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3

Burgin, Mark. "Evolutionary Information Theory." Information 4, no. 2 (April 11, 2013): 124–68. http://dx.doi.org/10.3390/info4020124.

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4

Liang, JiYe, and YuHua Qian. "Information granules and entropy theory in information systems." Science in China Series F: Information Sciences 51, no. 10 (July 3, 2008): 1427–44. http://dx.doi.org/10.1007/s11432-008-0113-2.

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5

Mcleod Jr., Raymond. "Systems Theory and Information Resources Management." Information Resources Management Journal 8, no. 2 (April 1995): 5–15. http://dx.doi.org/10.4018/irmj.1995040101.

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6

Karanasios, Stan, and David Allen. "Activity theory in Information Systems Research." Information Systems Journal 28, no. 3 (April 14, 2018): 439–41. http://dx.doi.org/10.1111/isj.12184.

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7

Nguyen, Tuan Manh. "A Systems Theory of Organizational Information." International Journal of Knowledge and Systems Science 7, no. 2 (April 2016): 58–83. http://dx.doi.org/10.4018/ijkss.2016040104.

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Standing on both the Peircean pragmatism semiotics and the Churchmanian systems thinking, this paper is an empirically grounded conceptualization of the phenomena of organizational information in terms of the nature and the formulation process of information in organizations. Four organizational cases in consulting industries were conducted for field data to firmly ground the resultant emergent theory. Two research findings were gained: organizational information as system, and organizational information formulation as habit production. By the author's systems based conception, organizational information would present itself as a unity that comprises nonexclusive six aspects: structure, function, process, context, time and epistemology. From the relational perspective, organizational information would better manifest itself as a dynamically triadic process in the form of the Peircean semiosis that comprises three states of mind (i.e. surprise, doubt, and belief) and three relations, or human activities (i.e. experience, abduction, and inquiry). Further, the findings also suggest paradigmatic distinction among three common information categories (i.e. data, knowledge, information), where ‘data' was found to be monadic, ‘knowledge' dyadic, and ‘information' triadic. The author's grounded systems model of organizational information introduces a sketch of a semiotics based framework for both information and organization domains, which offers that information and organization constitute each other. The author also posits that the grounded systems model of organizational information would imply an information paradigm for, and hence, a theory native to the information systems (IS) and knowledge management (KM) field.
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8

Galla, Tobias. "Theory of Neural Information Processing Systems." Journal of Physics A: Mathematical and General 39, no. 14 (March 22, 2006): 3849. http://dx.doi.org/10.1088/0305-4470/39/14/b01.

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9

Drott, M. Carl. "Information retrieval systems: Theory and implementation." Journal of the American Society for Information Science 49, no. 7 (May 15, 1998): 668–70. http://dx.doi.org/10.1002/(sici)1097-4571(19980515)49:7<668::aid-asi8>3.0.co;2-x.

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10

RONK, MARTHA. "Information Systems." Critical Quarterly 51, no. 1 (April 2009): 125. http://dx.doi.org/10.1111/j.1467-8705.2009.01849.x.

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11

Karanasios, Stan, David Allen, and Patrick Finnegan. "Information Systems Journal Special Issue on: Activity Theory in Information Systems Research." Information Systems Journal 25, no. 3 (April 7, 2015): 309–13. http://dx.doi.org/10.1111/isj.12061.

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12

Lee, T. T., T. Y. Lo, and Jianfang Wang. "An information-lossless decomposition theory of relational information systems." IEEE Transactions on Information Theory 52, no. 5 (May 2006): 1890–903. http://dx.doi.org/10.1109/tit.2006.872860.

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13

Xing, XiuSan. "Dynamic information theory and information description of dynamic systems." Science China Physics, Mechanics and Astronomy 53, no. 4 (April 2010): 607–27. http://dx.doi.org/10.1007/s11433-010-0153-7.

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14

Lerner, Vladimir S. "Systems science, information systems theory, and informational macrodynamics: review." Kybernetes 36, no. 2 (February 20, 2007): 192–224. http://dx.doi.org/10.1108/03684920710741224.

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15

Bozeman, Barry, and Stuart Bretschneider. "Public Management Information Systems: Theory and Prescription." Public Administration Review 46 (November 1986): 475. http://dx.doi.org/10.2307/975569.

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16

Wiesche, Manuel, Marlen C. Jurisch, Philip W. Yetton, and Helmut Krcmar. "Grounded Theory Methodology in Information Systems Research." MIS Quarterly 41, no. 3 (March 3, 2017): 685–701. http://dx.doi.org/10.25300/misq/2017/41.3.02.

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17

Novotný, Miroslav, and Zdzizław Pawlak. "Algebraic Theory of Independence in Information Systems." Fundamenta Informaticae 14, no. 4 (April 1, 1991): 454–76. http://dx.doi.org/10.3233/fi-1991-14404.

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The semilattice of all subsets of a finite nonempty set provided with the operation of union and a congruence of this semilattice enable to define independent elements of the semilattice. Reducts, subreducts, and superreducts of an arbitrary element in the semilattice are introduced and investigated. A particular type of congruence, the so called rough top equality, is studied. These algebraic notions and methods are applied to black boxes, to information systems, and to contexts in Wille’s sense. The algebraic results are used to solve the problem whether two sets of inputs give the same output in a black box, whether two sets of attributes define the same classification of objects in an information system, and, finally, whether two sets of features generate the same concept in a context. Partial dependence between two sets of attributes of an information system is introduced and a distance between these sets is defined.
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18

Iyamu, Tiko, and Tefo Sekgweleo. "Information Systems and Actor-Network Theory Analysis." International Journal of Actor-Network Theory and Technological Innovation 5, no. 3 (July 2013): 1–11. http://dx.doi.org/10.4018/jantti.2013070101.

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Evidently, based on studies which have been conducted over the years, there exist lots more complexity than technical in the development and implementation of information systems in organisations. The complex issues are socio-technical in nature, which require a refresh examination, from social context, if different results are to be achieved. Some of the complexities which are encountered include operational issues, environmental trends, processes flow, communicative scheme, and actors’ relationship. The unpredictable nature of business and rapidly changing user requirements makes it even more difficult to develop and implement systems within budget and timeframe. Other challenges are within the social context, such as politics and culture affiliations. Through the lens of Actor-Network Theory (ANT) understanding of the social context of how information systems are developed and implemented is gained. Although ANT has been employed in many studies, it is of significant important to establishes and clarifies the factors, from the social perspective, which influences the development and implementation of information systems in organisations.
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19

Gregor. "The Nature of Theory in Information Systems." MIS Quarterly 30, no. 3 (2006): 611. http://dx.doi.org/10.2307/25148742.

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20

Jones and Karsten. "Giddens's Structuration Theory and Information Systems Research." MIS Quarterly 32, no. 1 (2008): 127. http://dx.doi.org/10.2307/25148831.

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21

Willcocks, Leslie P., and Mary C. Lacity. "Information Systems Outsourcing in Theory and Practice." Journal of Information Technology 10, no. 4 (December 1995): 203–7. http://dx.doi.org/10.1057/jit.1995.24.

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22

Khimenko, V. I. "Laser Information Systems: Developing a Statistical Theory." Informatsionno-upravliaiushchie sistemy (Information and Control Systems) 5 (November 2015): 43–54. http://dx.doi.org/10.15217/issn1684-8853.2015.5.43.

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23

Vinaja, Robert. "Geographical information systems theory, applications and management." Journal of Global Information Technology Management 22, no. 2 (April 3, 2019): 150–52. http://dx.doi.org/10.1080/1097198x.2019.1603740.

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24

Kraft, J�rg, J�rgen W. Einax, and Corinna Kowalik. "Information theory for evaluating environmental classification systems." Analytical and Bioanalytical Chemistry 380, no. 3 (September 23, 2004): 475–83. http://dx.doi.org/10.1007/s00216-004-2769-9.

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25

Uda, Shinsuke. "Application of information theory in systems biology." Biophysical Reviews 12, no. 2 (March 6, 2020): 377–84. http://dx.doi.org/10.1007/s12551-020-00665-w.

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26

Leslie, P. Willcocks, and C. Lacity Mary. "Information Systems Outsourcing in Theory and Practice." Journal of Information Technology 10, no. 4 (December 1995): 203–7. http://dx.doi.org/10.1177/026839629501000401.

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27

Volkova, V. N., A. V. Loginova, S. V. Shirokova, A. E. Leonova, and Yu Yu Chernyy. "FURTHER DEVELOPMENT THE THEORY OF INFORMATION SYSTEMS." Quality. Innovation. Education, no. 2 (2022): 93–100. http://dx.doi.org/10.31145/1999-513x-2022-2-93-100.

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The history of the emergence of the concepts of information systems theory and the prospects for its development to improve the quality of the processes of creation and functioning of automated information systems of various types and purposes for enterprises management are presented. The concepts developed on the basis of the system-target and process approaches, the stratified representation of the information system model, the concept of «growing» the system are considered.
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28

Janson, Marius A., Carson C. Woo, and L. Douglas Smith. "Information systems development and communicative action theory." Information & Management 25, no. 2 (August 1993): 59–72. http://dx.doi.org/10.1016/0378-7206(93)90048-x.

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29

MULEJ, MATJAZ, MAJDA BASTIC, JANKO BELAK, JOZICA KNEZ-RIEDL, MARJAN PIVKA, VOJKO POTOCAN, MIROSLAV REBERNIK, DUSKO URŝIĉ, ZDENKA ZENKO, and Nastja Mulej. "INFORMAL SYSTEMS THINKING OR SYSTEMS THEORY." Cybernetics and Systems 34, no. 2 (March 2003): 71–92. http://dx.doi.org/10.1080/01969720302868.

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30

Nelken, Israel, and Gal Chechik. "Information theory in auditory research." Hearing Research 229, no. 1-2 (July 2007): 94–105. http://dx.doi.org/10.1016/j.heares.2007.01.012.

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31

DROSTE, MANFRED, and RÜDIGER GÖBEL. "UNIVERSAL INFORMATION SYSTEMS." International Journal of Foundations of Computer Science 01, no. 04 (December 1990): 413–24. http://dx.doi.org/10.1142/s012905419000028x.

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In the theory of denotational semantics of programming languages, several authors proved the existence of particular kinds of universal domains. D. Scott constructed universal information systems, which are, however, not unique up to isomorphism. Here, we use a model-theoretic technique to establish the existence and uniqueness of a universal homogeneous information system. Similar results are also obtained for canonical and for stable information systems, respectively.
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32

Finkelstein, Ludwik. "General Systems Theory: An introduction." European Journal of Information Systems 7, no. 1 (March 1998): 75. http://dx.doi.org/10.1057/palgrave.ejis.3000272.

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33

Bostrom, Robert P., Saurabh Gupta, and Dominic Thomas. "A Meta-Theory for Understanding Information Systems Within Sociotechnical Systems." Journal of Management Information Systems 26, no. 1 (July 2009): 17–48. http://dx.doi.org/10.2753/mis0742-1222260102.

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34

Gelepithis, Petros A. M. "A rudimentary theory of information: Consequences for information science and information systems." World Futures 49, no. 3-4 (September 1997): 275–86. http://dx.doi.org/10.1080/02604027.1997.9972635.

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35

Avison, David, and Julien Malaurent. "Is Theory King?: Questioning the Theory Fetish in Information Systems." Journal of Information Technology 29, no. 4 (December 2014): 327–36. http://dx.doi.org/10.1057/jit.2014.8.

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This paper suggests that there is too much emphasis on the requirement for theory use and theory building in qualitative research published in our leading journals. We discuss six concerns that we have that relate to this high status of theory in such papers. We argue for what we refer to as ‘theory light’ papers where theory plays no significant part in the paper and the contribution lies elsewhere, for example, new arguments, facts, patterns or relationships. Some examples of theory light papers (and research) are provided from other disciplines and one exemplar information systems paper is studied in depth. We see these papers as equally worthy as those which demonstrate the applicability and predictive qualities of theory use as well as the potential of theory building. We propose a list of 10 questions that authors and reviewers might ask themselves when writing or reviewing such theory light papers. The more demanding role of the reader is also discussed along with the requirement for editorial teams to adapt. We suggest that the requirement for a contribution to theory would be replaced with the requirement that any journal paper has a high potential for stimulating research that will impact on information systems theory and/or practice.
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36

Punzi, G., and M. Michela. "Visual features and information theory." Journal of Vision 6, no. 6 (March 19, 2010): 563. http://dx.doi.org/10.1167/6.6.563.

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37

Gill, Asif Qumer. "A Theory of Information Trilogy: Digital Ecosystem Information Exchange Architecture." Information 12, no. 7 (July 16, 2021): 283. http://dx.doi.org/10.3390/info12070283.

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Information sharing is a critical component of a distributed and multi-actor digital ecosystem (DE). DE actors, individuals and organisations, require seamless, effective, efficient, and secure architecture for exchanging information. Traditional point-to-point and ad hoc integrations hinder the ability of DE actors to do so. The challenge is figuring out how to enable information sharing in a complex DE. This paper addresses this important research challenge and proposes the theory of information trilogy and conceptual DE information exchange architecture, which is inspired by the study of nature and flow of matter, energy, and its states in natural ecosystems. This work is a part of the large DE information framework. The scope of this paper is limited to the emerging concept of DE information exchange. The application of the DE information exchange concept is demonstrated with the help of a geospatial information sharing case study example. The results from this paper can be used by researchers and practitioners for defining the DE information exchange as appropriate to their context. This work also complements Shannon’s mathematical theory of communication.
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38

Zenko, Zdenka, Bojan Rosi, Matjaz Mulej, Tatjana Mlakar, and Nastja Mulej. "General Systems Theory Completed Up by Dialectical Systems Theory." Systems Research and Behavioral Science 30, no. 6 (November 2013): 637–45. http://dx.doi.org/10.1002/sres.2234.

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39

Khamis, Mahmoud Abo, Phokion G. Kolaitis, Hung Q. Ngo, and Dan Suciu. "Bag Query Containment and Information Theory." ACM Transactions on Database Systems 46, no. 3 (September 30, 2021): 1–39. http://dx.doi.org/10.1145/3472391.

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The query containment problem is a fundamental algorithmic problem in data management. While this problem is well understood under set semantics, it is by far less understood under bag semantics. In particular, it is a long-standing open question whether or not the conjunctive query containment problem under bag semantics is decidable. We unveil tight connections between information theory and the conjunctive query containment under bag semantics. These connections are established using information inequalities, which are considered to be the laws of information theory. Our first main result asserts that deciding the validity of a generalization of information inequalities is many-one equivalent to the restricted case of conjunctive query containment in which the containing query is acyclic; thus, either both these problems are decidable or both are undecidable. Our second main result identifies a new decidable case of the conjunctive query containment problem under bag semantics. Specifically, we give an exponential-time algorithm for conjunctive query containment under bag semantics, provided the containing query is chordal and admits a simple junction tree.
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40

Organ, John, and Larry Stapleton. "Information Systems Risk Paradigms: Towards a New Theory on Systems Risk." IFAC Proceedings Volumes 46, no. 8 (2013): 116–21. http://dx.doi.org/10.3182/20130606-3-xk-4037.00045.

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41

Becker, Shirley A., Gene G. McGuire, and Larry R. Medsker. "Integrating systems development theory and practice in an information systems curriculum." Computers & Education 19, no. 3 (October 1992): 275–84. http://dx.doi.org/10.1016/0360-1315(92)90121-k.

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42

Gould, D. P. "Stratified systems theory in the design of organization-wide information systems." International Journal of Information Management 6, no. 1 (March 1986): 5–15. http://dx.doi.org/10.1016/0268-4012(86)90042-3.

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43

Haag, Steffi, Mikko Siponen, and Fufan Liu. "Protection Motivation Theory in Information Systems Security Research." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 52, no. 2 (April 26, 2021): 25–67. http://dx.doi.org/10.1145/3462766.3462770.

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Protection motivation theory (PMT) is one of the most commonly used theories to examine information security behaviors. Our systematic review of the application of PMT in information systems (IS) security and the comparison with its application for decades in psychology identified five categories of important issues that have not yet been examined in IS security research. Discussing these issues in terms of why they are relevant and important for IS security, and to what extent IS research has not considered them, offers new research opportunities associated with the study of PMT and IS security threats. We suggest how future studies can approach each of the open issues to provide a new road map for quantitative and qualitative IS scholars.
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44

Blackmon, James C. "Integrated Information Theory, Intrinsicality, and Overlapping Conscious Systems." Journal of Consciousness Studies 28, no. 11 (November 20, 2021): 31–53. http://dx.doi.org/10.53765/20512201.28.11.031.

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Integrated information theory (IIT) identifies consciousness with having a maximum amount of integrated information. But a thing's having the maximum amount of anything cannot be intrinsic to it, for that depends on how that thing compares to certain other things. IIT's consciousness, then, is not intrinsic. A mereological argument elaborates this consequence: IIT implies that one physical system can be conscious while a physical duplicate of it is not conscious. Thus, by a common and reasonable conception of intrinsicality, IIT's consciousness is not intrinsic. It is then argued that to avoid the implication that consciousness is not intrinsic, IIT must abandon its exclusion postulate, which prohibits overlapping conscious systems. Indeed, theories of consciousness that attribute consciousness to physical systems should embrace the view that some conscious systems overlap. A discussion of the admittedly counterintuitive nature of this solution, along with some medical and neuroscientific realities that would seem to support it, is included.
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45

Ghosh, Anupam, Samadhan A. Pawar, and R. I. Sujith. "Anticipating synchrony in dynamical systems using information theory." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 3 (March 2022): 031103. http://dx.doi.org/10.1063/5.0079255.

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Synchronization in coupled dynamical systems has been a well-known phenomenon in the field of nonlinear dynamics for a long time. This phenomenon has been investigated extensively both analytically and experimentally. Although synchronization is observed in different areas of our real life, in some cases, this phenomenon is harmful; consequently, an early warning of synchronization becomes an unavoidable requirement. This paper focuses on this issue and proposes a reliable measure ([Formula: see text]), from the perspective of the information theory, to detect complete and generalized synchronizations early in the context of interacting oscillators. The proposed measure [Formula: see text] is an explicit function of the joint entropy and mutual information of the coupled oscillators. The applicability of [Formula: see text] to anticipate generalized and complete synchronizations is justified using numerical analysis of mathematical models and experimental data. Mathematical models involve the interaction of two low-dimensional, autonomous, chaotic oscillators and a network of coupled Rössler and van der Pol oscillators. The experimental data are generated from laboratory-scale turbulent thermoacoustic systems.
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46

Nusa, I. B. S., and F. M. Faisal. "Web-Based Information Systems: Developing a Design Theory." IOP Conference Series: Materials Science and Engineering 879 (August 7, 2020): 012015. http://dx.doi.org/10.1088/1757-899x/879/1/012015.

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47

BRIGGS, ROBERT O., JAY F. NUNAMAKER Jr., ROBERT O. BRIGGS, and JAY F. NUNAMAKER Jr. "Special Issue: Information Systems Design-- Theory and Methodology." Journal of Management Information Systems 20, no. 4 (March 2004): 4–8. http://dx.doi.org/10.1080/07421222.2004.11045781.

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48

Matavire, Rangarirai, and Irwin Brown. "Profiling grounded theory approaches in information systems research." European Journal of Information Systems 22, no. 1 (January 2013): 119–29. http://dx.doi.org/10.1057/ejis.2011.35.

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49

Hirschheim, R. "Information Systems and User Resistance: Theory and Practice." Computer Journal 31, no. 5 (May 1, 1988): 398–408. http://dx.doi.org/10.1093/comjnl/31.5.398.

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50

Hu, Di. "Advancing Theory? Landscape Archaeology and Geographical Information Systems." Papers from the Institute of Archaeology 21 (May 5, 2012): 80. http://dx.doi.org/10.5334/pia.381.

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