Skip to main content

Advertisement

Log in

Collecting qualitative data for information systems studies: The reality in practice

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

There are numerous literature including professional guides that describes how to collect qualitative data, specifically in information systems (IS) studies. In practice, the reality is different from the theoretical academic materials. This is the part where many early career researchers and postgraduate students continue to be challenged, irrespective of theoretical preparedness. This is attributed to unpredicted situation and interaction in subjectivity from both researcher and respondents. As a result, when the factors begin to manifests during the process of data collection, some of the postgraduate students do not know how to address them in practice. This study was undertaken to highlight some of the fundamental challenges and their implications of practice. The qualitative methods were employed in the study, from the perspective of the interpretivist approach. The semi-structured interview technique was applied in the data collection. The data was analysed, using the interpretive method, from which findings were reached. This study advances the approach through which qualitative researches are conducted in IS. Also, it can be used for education purposes through teaching and learning. Also, the study add to the existing literature in the field of IS research. Practically, the model that was developed from the research is intended to ease practical hands-on, and minimise challenges in the collection of qualitative data in IS studies. Also, the study can be used as a teaching case material. The originality and value of this research comes from the methodological guide that it proposes, through which a qualitative data can be gathered and analysed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  • Avison, D., & Malaurent, J. (2014). Is theory king?: Questioning the theory fetish in information systems. Journal of Information Technology, 29(4), 327–336.

    Article  Google Scholar 

  • Babbie, E. (2007). The practice of social research. Belmont: Thomson.

    Google Scholar 

  • Baškarada, S. (2014). Qualitative case studies guidelines. The Qualitative Report, 19(40), 1–25.

    Google Scholar 

  • Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1042.

    Article  Google Scholar 

  • Bryman, A. (2012). Social Research Methods (4 ed.). New York, United States: Oxford University Press.

  • Choy, L. T. (2014). The strengths and weaknesses of research methodology: Comparison and complimentary between qualitative and quantitative approaches. IOSR Journal of Humanities and Social Science, 19(4), 99–104.

    Article  Google Scholar 

  • Cleary, M., Horsfall, J., & Hayter, M. (2014). Data collection and sampling in qualitative research: Does size matter? Journal of Advanced Nursing, 70(3), 473–475.

    Article  Google Scholar 

  • Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.

  • Denzin, N. K., & Lincoln, Y. S. (2000). Handbook of qualitative research. London: Sage Publications.

    Google Scholar 

  • Fowler, J., Horan, P., & Cope, C. (2007). How an “Imperative” IS Development was Saved from a Failing Course ofAction–A Case Study. Information and Beyond: Part I, 4, 395.

  • Fox-Wolfgramm, S. J. (1997). Towards developing a methodology for doing qualitative research: The dynamic-comparative case study method. Scandinavian Journal of Management, 13(4), 439–456.

    Article  Google Scholar 

  • Goldkuhl, G. (2012). Pragmatism vs interpretivism in qualitative information systems research. European Journal of Information Systems, 21(1), 135–146.

    Article  Google Scholar 

  • Hesse-Biber, S., & Leavy, P. (2011). The practice of qualitative research. California: Sage.

    Google Scholar 

  • Hussain, Z., Wallace, J., & Cornelius, N. E. (2007). The use and impact of human resource information systems on human resource management professionals. Information Management, 44(1), 74–89.

    Article  Google Scholar 

  • Iyamu, T., Hamunyela, S. & Mkhomazi, S. (2014) Rethinking the Roles of Actors in the Mobility of Healthcare Services, In: Creating Value for all through IT, B. Bergvall-Kåreborn, Birgitta and P.A. Nielsen, (Eds.), 261–271, Springer Press.

  • Katz, J. (2015). A theory of qualitative methodology: The social system of analytic fieldwork. Methods: African Review of Social Sciences Methodology, 1(1–2), 131–146.

    Google Scholar 

  • Klein, H. K., & Myers, M. D. (1999). A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Quarterly, 23(1), 67–93.

    Article  Google Scholar 

  • Krauss, S. E., Hamzah, A., Omar, Z., Suandi, T., Ismail, I. A., Zahari, M. Z., & Nor, Z. M. (2009). Preliminary investigation and interview guide development for studying how Malaysian farmers’ form their mental models of farming. The Qualitative Report, 14(2), 245–260.

    Google Scholar 

  • Maree, K. (2007). First steps in research. Pretoria: Van Schaik.

    Google Scholar 

  • Marshall, C., Brereton, P., & Kitchenham, B. (2015). Tools to support systematic reviews in software engineering: a cross-domain survey using semi-structured interviews. In Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering (p. 26). ACM.

  • McCracken, G. (1998). The long interview. Newbury Park, CA: Sage Publications.

    Google Scholar 

  • McMillan, J. H., & Schumacher, S. (2001). Research in education. A conceptual introduction (5th ed.). New York: Longman.

    Google Scholar 

  • Myers, M. D. (2009). Qualitative Research in Business & Management. London, England: Sage Publications.

    Google Scholar 

  • Myers, M. D. (2013). Qualitative research in business and management (2 Ed.). London, Britain: Sage.

  • Myers, M. D., & Avison, D. (2002). An Introduction to Qualitative Research in Information Systems. In M. D. Myers & D. Avison (Eds.), Qualitative Research in Information Systems: A Reader (pp. 3–12). London: Sage publications.

    Chapter  Google Scholar 

  • Myers, M. D., & Newman, M. (2007). The qualitative interview in IS research: Examining the craft. Information and Organization, 17(1), 2–26.

    Article  Google Scholar 

  • Olson, K. (2016). Essentials of qualitative interviewing. New York: Routledge Tayloy and Francis group.

    Google Scholar 

  • Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544.

    Article  Google Scholar 

  • Polak, L., & Green, J. (2016). Using joint interviews to add analytic value. Qualitative Health Research, 26(12), 1638–1648.

    Article  Google Scholar 

  • Schultze, U., & Avital, M. (2011). Designing interviews to generate rich data for information systems research. Information and Organization, 21(1), 1–16.

    Article  Google Scholar 

  • Seidman, I. E. (2005). Interviewing as qualitative research. New York: Teachers College Press.

    Google Scholar 

  • Sekaran, U. (2003). Research Methods for Business, 4th (Ed.). John Wiley & Sons, Inc. New York.

  • Silverman, D. (2013). Doing qualitative research: A practical handbook (4th Ed.). London, Great Britain: Sage.

  • Stokes, P., & Urquhart, C. (2013). Qualitative interpretative categorisation for efficient data analysis in a mixed methods information behaviour study. Information Research, 18(1), 1–17.

    Google Scholar 

  • Thomas, G. (2011). How to do your case study: A guide for students and researchers. New Delhi: Sage.

    Google Scholar 

  • Tsang, E. W. (2014). Case studies and generalization in information systems research: A critical realist perspective. The Journal of Strategic Information Systems, 23(2), 174–186.

    Article  Google Scholar 

  • Van Teijlingen, E. R., Hundley, V. (2001). The importance of pilot studies. Social research update, Available: http://sru.soc.surrey.ac.uk/SRU35.html. [Accessed: 28 June 2014].

  • Walsham, G. (1995). Interpretive case studies in IS research: Nature and method. European Journal of Information Systems, 4(2), 74–81.

    Article  Google Scholar 

  • Walsham, G. (2006). Doing interpretive research. European Journal of Information Systems, 15(3), 320–330.

    Article  Google Scholar 

  • Yin, R. K. (2013). Validity and generalization in future case study evaluations. Evaluation, 19(3), 321–332.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiko Iyamu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Iyamu, T. Collecting qualitative data for information systems studies: The reality in practice. Educ Inf Technol 23, 2249–2264 (2018). https://doi.org/10.1007/s10639-018-9718-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-018-9718-2

Keywords