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Section outline

  • Publishing Interpretive Research in the Information Technology Disciplines

    (details still subject to change)

    October 23-25, 2013 (Application deadline: October 4, 2013)

    Room 053, Fibigerstræde 13, Aalborg University, Aalborg, 9220, Denmark, Map

    Lecturers:
    Jeremy Rose, jeremy@cs.aau.dk
    John Persson, john@cs.aau.dk

  • Welcome and course introduction

    10.00 - 11.00, 23.10 Wednesday

    • wifi: eduroam or AAU-1-DAY (https://wifipassword.aau.dk/oneday) existence96guide
    • social events
    • pedagogical style: action learning
    • students contribution and assignment
    • students: short presentation of your research - focusing on data collection, analysis and theory-building

  • Student presentations: compare an interpretive article in a particular genre with (the same) positivist article (Venkatesh et al, 2003)

    11.00-12.00

    What are the ontological and epistemological differences?
    Define the research approach the authors work with.

    Jane, Jens, Asma: LINDGREN, R., HENFRIDSSON, O. & SCHULTZE, U. (2004) Design principles for competence management systems: a synthesis of an action research study. MIS quarterly, 28, 435-472.

    Charlotte, Lars, Mohammad: ORLIKOWSKI, W. J. (1992) The Duality of Technology: Rethinking the Concept of Technology in Organizations. Organization Science, 3, 398-429.

    Tara (Nazli), Benjamin, Rislan: ROSE, J. & SCHLICHTER, B. R. (2013) Decoupling, Re-Engaging: Managing Trust Relationships in Implementation Projects. Information Systems Journal, 23, 5-33.

    Zena, Nis, Jinling: SCHULTZE, U. (2000) A confessional account of an ethnography about knowledge work. MIS quarterly, 24, 3-41.

    Example positivist article:
    VENKATESH, V., MORRIS, M. G., DAVIS, G. B. & DAVIS, F. D. (2003) User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

  • Interpretivism: ontology and epistemology (Jeremy)

    12.30-13.30

    slides

    reading:
    CHEN, W. & HIRSCHHEIM, R. (2004) A paradigmatic and methodological examination of information systems research from 1991 to 2001. Information Systems Journal, 14, 197-235.
    ORLIKOWSKI, W. J. & BAROUDI, J. J. (1991) Studying information technology in organizations: Research approaches and assumptions. Information systems research, 2, 1-28.
    WALSHAM, G. (1995) The emergence of interpretivism in IS research. Information Systems Research, 6, 376-394.
  • Student exercise: report on the ontological and epistemological positions in your own PhD work

    13.30-14.30
  • Content analysis: theory and practice (John)

    14.30-15.30

    Slides

    reading:
    Collaborative coding report
  • Student exercise: get to know Dedoose

    15.30-16.00
  • Interpretive research approaches (Jeremy)

    slides

    9.00-10.00, 24.10 Thursday

    reading:
    CARROLL, J. M. & SWATMAN, P. A. (2000) Structured-case: a methodological framework for building theory in information systems research. European Journal of Information Systems, 9, 235-242.
    CHECKLAND, P. & HOLWELL, S. (1998) Action research: its nature and validity. Systemic Practice and Action Research, 11, 9-21.
    KLEIN, H. & MYERS, M. (1999) A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems. MIS Quarterly, 23, 67-93.
    MCKAY, J. & MARSHALL, P. (2001) The dual imperatives of action research. Information Technology and People, 14, 46-59.
    MINGERS, J. (2001) Combining IS research methods: towards a pluralist methodology. Information systems research, 12, 240-259.
    MYERS, M. (1999) Investigating information systems with ethnographic research. Communications of the AIS, 2, 1.
    NANDHAKUMAR, J. & JONES, M. (1997) Too close for comfort? Distance and engagement in interpretive information systems research. Information Systems Journal, 7, 109-131.
    WALSHAM, G. (1995) Interpretive case studies in IS research: nature and method. European Journal of Information Systems, 4, 74-81.
  • Student exercise: design a mini-project inside your own research using an interpretive research approach

    10.00 - 11.00
  • Building theory in interpretive research: grounded/theory-driven (Jeremy)

    slides

    11.00 - 12.00

    ALVESSON, M. & KÄRREMAN, D. (2007) Constructing mystery: Empirical matters in theory development. Academy of Management Review, 32, 1265-1281.
    ALVESSON, M. & SANDBERG, J. (2011) Generating research questions through problematization. Academy of Management Review, 36, 247-271.
    GREGOR, S. (2006) The nature of theory in information systems. MIS Quarterly, 30, 611-642.
    LEE, A. S. & BASKERVILLE, R. L. (2003) Generalizing generalizability in information systems research. Information systems research, 14, 221-243.
  • Innovation in small software firms: exercise introduction (Jeremy)

    13.00-13.30
  • student exercise: collaborative coding

    13.30 - 15.15
  • An example: trust in large system implementations (Jeremy)

    slides

    15.15 -16.00

    reading:
    ROSE, J. & SCHLICHTER, B. R. (2013) Decoupling, Re-Engaging: Managing Trust Relationships in Implementation Projects. Information Systems Journal, 23, 5-33.
    SCHLICHTER, B. R. & ROSE, J. (2013) Trust Dynamics in a Large System Implementation: Six Theoretical Propositions. European Journal of Information Systems, 22, 455-474.
  • Packaging and selling your research (Jeremy)

    slides

    9.00-10.00, 25.10 Friday
  • Student exercise: software innovation theory building

    10.00 - 11.30
  • Student presentations: in-course assignment outline

    11.30 - 12.30
  • Wrap-up

    12.30 - 13.00
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