Practitioners’ Attitudes and Intentions to Use Information Systems Research: A Mixed Method Study of the Research Format

Authors

DOI:

https://doi.org/10.3127/ajis.v29.5047

Keywords:

IS practitioners, Research relevance, Research knowledge dissemination, Research knowledge translation

Abstract

Balancing research relevance and rigour has been a long-standing concern in the Information Systems (IS) discipline, crucial for advancing academic understanding and disseminating knowledge to practitioners. This paper addresses the need for effective knowledge product translation and dissemination by proposing the use of animated research briefs with visual storytelling cues. Grounded in the cognitive theory of multimedia learning and critical narrative theory, these briefs aim to make research more accessible and engaging for IS practitioners. A mixed-method approach is deployed: (1) a survey-based experiment to assess how research format influences practitioners' attitudes, which in turn affect their intentions to use academic research to solve work-related problems in the near term, and (2) in-depth interviews to explore practitioners’ perceptions of different research formats and their impact on the intention to use academic research in the near term. The paper offers new insights into the effectiveness of multimedia formats in enhancing practitioner engagement and understanding, thereby fostering a more effective dissemination and translation of research knowledge for practitioner audiences.

Author Biographies

Kristijan Mirkovski, Deakin University

Dr. Kristijan Mirkovski is a senior lecturer of Information Systems at the Department of Information Systems and Business Analytics in Deakin Business School. He received his PhD in Information Systems from the City University of Hong Kong. His primary research interests include: (1) ICT adoption and use, (2) alternative genres, (3) social media and social commerce and (4) open innovation. Dr. Mirkovski’s work has been accepted and published by ISJ, MISQE, Internet Research, ISF, ECR, IT&P, International Journal of Knowledge Management, IEEE IT Practitioner, and others. His work also has been accepted and presented at internationally-recognized conferences such as AOM Annual Meeting, ICIS, HICCS, PACIS, AMCIS, and AJIS. He also serves on the advisory editorial board of the International Journal of Logistics Management.

Cathal Doyle, Victoria University of Wellington

Dr. Cathal Doyle is a senior lecturer in Information Systems at the School of Information Management, Wellington School of Business and Government. His research platform encompasses three strands: design science research (DSR); technology and learning; and open science. DSR is the method he uses to conduct research; and focuses on platforms that can be used for learning, currently looking at online citizen science in education; and open science is how I make my work available to increase impact. He also contributes to these areas from a foundational perspective which includes looking at how to improve the relevance of DSR, especially in making it available to IS/IT practitioners, and how IS researchers can introduce open science practices to their research.

James Gaskin, Brigham Young University

Dr. James Gaskin is a Professor of Management Information Systems at Brigham Young University, Utah. He received his PhD in MIS from Case Western Reserve University. He currently has over 160 peer-reviewed articles published in top journals and conferences, including MISQ, ISR, JMIS, JAIS, ISJ, CHB, JBR, IEEE, among others. His primary area of research is human computer interaction. James is an associate editor at JAIS, Frontiers in Psychology, and AISTHCI, guest senior editor at JAIS, and a regular track chair, session chair, and associate editor for ICIS and AMCIS, including regularly heading the efforts of the annual Paperathon. James advises scholars and practitioners worldwide through correspondence stemming from his SEM YouTube videos, StatWiki, and SEM Boot Camps.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi.org/10.1016/0749-5978(91)90020-T

Avital, M., Mathiassen, L., & Schultze, U. (2017). Alternative genres in information systems research. European Journal of Information Systems, 26(3), 240-247. doi.org/10.1057/s41303-017-0051-4

Aysolmaz, B., & Reijers, H. A. (2021). Animation as a dynamic visualization technique for improving process model comprehension. Information & Management, 58(5). doi.org/10.1016/j.im.2021.103478

Benbasat, I., & Zmud, R. W. (1999). Empirical research in information systems: The practice of relevance. MIS Quarterly, 23(1), 3. doi.org/10.2307/249403

Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229. doi.org/10.2307/25148634

Bourdieu, P. (1988). Homo Academicus. Stanford University Press. doi.org/10.1093/sf/68.4.1317

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2002). Applied Multiple Regression/Correlation Analysis for the Behavioural Sciences (3rd Edition ed.). Routledge. doi.org/10.4324/9780203774441

Corbin, J., & Strauss, A. (2014). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (4th Edition ed.). Sage. doi.org/10.4135/9781452230153

Creswell, J. W., & Clark, V. L. P. (2018). Designing and Conducting Mixed Methods Research. Sage Publications.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi.org/10.1287/mnsc.35.8.982

Dennis, A. R. (2001). Relevance in information systems research. Communications of the Association for Information Systems, 6. doi.org/10.17705/1cais.00610

Diamond, M. E. (2011). The role of narrative in multimedia learning University of Nevada, Las Vegas]. https://digitalscholarship.unlv.edu/thesesdissertations/1231

Doyle, C. (2021). How can I share my work? A review of the open access policies of IS journals. Hawaii International Conference on System Sciences (HICSS), Hawaii, USA.

Doyle, C., Luczak-Roesch, M., & Mittal, A. (2019). We need the open artefact: Design science as a pathway to open science in information systems research. Extending the Boundaries of Design Science Theory and Practice: 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Worcester, MA, USA, June 4–6, 2019, Proceedings 14,

Ebel, P., Bretschneider, U., & Leimeister, J. M. (2016). Leveraging virtual business model innovation: A framework for designing business model development tools. Information Systems Journal, 26(5), 519-550. doi.org/10.1111/isj.12103

Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109-123. doi.org/10.1016/S0048-7333(99)00055-4

Fox, S., & Groesser, S. N. (2016). Reframing the relevance of research to practice. European Management Journal, 34(5), 457-465. doi.org/10.1016/j.emj.2016.07.005

Gaskin, J., Lowry, P., & Hull, D. (2016). Leveraging multimedia to advance science by disseminating a greater variety of scholarly contributions in more accessible formats. Journal of the Association for Information Systems, 17(6), 413-434. doi.org/10.17705/1jais.00430

Gill, G., & Bhattacherjee, A. (2009). Whom are we informing? Issues and recommendations for MIS research from an informing sciences perspective. MIS Quarterly, 33(2), 217. doi.org/10.2307/20650290

Greer, D. L., Crutchfield, S. A., & Woods, K. L. (2013). Cognitive theory of multimedia learning, instructional design principles, and students with learning disabilities in computer-based and online learning environments. Journal of Education, 193(2), 41-50. doi.org/10.1177/002205741319300205

Hull, D. M., Lowry, P. B., Gaskin, J. E., & Mirkovski, K. (2019). A storyteller's guide to problem‐based learning for information systems management education. Information Systems Journal, 29(5), 1040-1057. doi.org/10.1111/isj.12234

Immanuel, J., & A, M. S. H. M. (2023). Cognitive theory of multimedia learning powered code-switching interface for vocabulary acquisition of ESL students. Journal of Language Teaching and Research, 14(6), 1439-1448. doi.org/10.17507/jltr.1406.01

Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26. doi.org/10.3102/0013189X033007014

Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213. doi.org/10.2307/249751

King, N., Cassell, C., & Symon, G. (2004). Using templates in the thematic analysis of texts. In C. Cassell & G. Symon (Eds.), Essential Guide to Qualitative Methods in Organizational Research (pp. 256-270). Sage. doi.org/10.4135/9781446280119.n21

Kirschner, P. A., Park, B., Malone, S., & Jarodzka, H. (2023). Toward a Cognitive Theory of Multimedia Assessment (CTMMA). In Learning, Design, and Technology (pp. 153-175). doi.org/10.1007/978-3-319-17461-7_53

Klein, G., Jiang, J., & Saunders, C. (2006). Leading the horse to water. Communications of the Association for Information Systems, 18. doi.org/10.17705/1cais.01813

Lee, J. K., Park, J., Gregor, S., & Yoon, V. (2021). Axiomatic theories and improving the relevance of information systems research. Information Systems Research, 32(1), 147-171. doi.org/10.1287/isre.2020.0958

Lowry, P. B., D’Arcy, J., Hammer, B., & Moody, G. D. (2016). “Cargo Cult” science in traditional organization and information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels. The Journal of Strategic Information Systems, 25(3), 232-240. doi.org/10.1016/j.jsis.2016.06.002

Mayer, R. E. (2005). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (2nd Edition ed., pp. 31-48). Cambridge University Press. doi.org/10.1017/CBO9780511816819.004

Mayer, R. E. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist, 63(8), 760-769. doi.org/10.1037/0003-066X.63.8.760

McCarthy, M. (2012). Applying narrative to the delivery of the ill-defined domain of manufacturing systems to undergraduate students. Australasian Journal of Engineering Education, 18(1). doi.org/10.7158/d11-140.2012.18.1

McClements, D. J., McClements, J., & McClements, I. F. (2024). Securing Funding: Oiling the Wheels of Research. In How to be a Successful Scientist: A Guide for Graduate Students, Postdocs, and Professors (pp. 239-261). Springer. doi.org/10.1007/978-3-031-51402-9_11

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative Data Analysis: A Methods Sourcebook (3rd Edition ed.). Sage. doi.org/10.1080/10572252.2015.975966

Mirkovski, K., Gaskin, J., Hull, D., & Lowry, P. (2019). Visual storytelling for improving the comprehension and utility in disseminating information systems research: Evidence from a quasi-experiment. Information Systems Journal, 29(6), 1153-1177. doi.org/10.1111/isj.12240

Moeini, M., Rahrovani, Y., & Chan, Y. E. (2019). A review of the practical relevance of IS strategy scholarly research. The Journal of Strategic Information Systems, 28(2), 196-217. doi.org/10.1016/j.jsis.2018.12.003

Moeini, M., & Rivard, S. (2019). Responding or not to information technology project risks: An integrative model. MIS Quarterly, 43(2), 475-500. doi.org/10.25300/misq/2019/14505

Myers, M. D., & Avison, D. (2002). Qualitative Research in Information Systems: A Reader. Sage. doi.org/10.4135/9781849209687

Myers, M. D., & Newman, M. (2007). The qualitative interview in IS research: Examining the craft. Information and Organization, 17(1), 2-26. doi.org/10.1016/j.infoandorg.2006.11.001

Nunamaker Jr, J. F., Briggs, R. O., Derrick, D. C., & Schwabe, G. (2015). The last research mile: Achieving both rigor and relevance in information systems research. Journal of Management Information Systems, 32(3), 10-47. doi.org/10.1080/07421222.2015.1094961

Ormond, D., Warkentin, M., & Crossler, R. E. (2019). Integrating cognition with an affective lens to better understand information security policy compliance. Journal of the Association for Information Systems, 1794-1843. doi.org/10.17705/1jais.00586

Pearson, M., Pearson, A., & Shim, J. P. (2005). The relevancy of information systems research: The practitioner's view. Information Resources Management Journal, 18(3), 50-67. doi.org/10.4018/irmj.2005070104

Robey, D., & Markus, M. L. (1998). Beyond rigor and relevance: Producing consumable research about information systems. Information Resources Management Journal, 11(1), 7-16. doi.org/10.4018/irmj.1998010101

Rosemann, M., & Vessey, I. (2008). Toward improving the relevance of information systems research to practice: The role of applicability checks. MIS Quarterly, 32(1), 1-22. doi.org/10.2307/25148826

Srivastava, S. C., & Teo, T. (2005). Relevance in information systems research: An empirical analysis. PACIS Proceedings.

Tabachnick, B. G., & Fidell, L. S. (2007). Experimental Designs Using ANOVA. Thomson/Brooks/Cole

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. doi.org/10.1287/isre.6.2.144

Titah, R., & Barki, H. (2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy? MIS Quarterly, 33(4). doi.org/10.2307/20650329

Toffel, M. W. (2016). Enhancing the practical relevance of research. Production and Operations Management, 25(9), 1493-1505. doi.org/10.1111/poms.12558

Van de Ven, A. H. (2007). Engaged Scholarship: A Guide for Organizational and Social Research. Oxford University Press, USA.

Van De Ven, A. H., & Johnson, P. E. (2006). Knowledge for theory and practice. Academy of Management Review, 31(4), 802-821. doi.org/10.5465/amr.2006.22527385

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. doi.org/10.2307/30036540

Voithofer, R. (2004). Teaching computers to tell learning stories: Using critical narrative theory to frame design and evaluation strategies for online educational experiences. Journal of Educational Multimedia and Hypermedia, 13(1), 47-72.

Williams, W. R. (2019). Attending to the visual aspects of visual storytelling: Using art and design concepts to interpret and compose narratives with images. Journal of Visual Literacy, 38(1-2), 66-82. doi.org/10.1080/1051144X.2019.1569832

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Published

2025-02-25

How to Cite

Mirkovski, K., Doyle, C., & Gaskin, J. . (2025). Practitioners’ Attitudes and Intentions to Use Information Systems Research: A Mixed Method Study of the Research Format. Australasian Journal of Information Systems, 29. https://doi.org/10.3127/ajis.v29.5047

Issue

Vol. 29 (2025)

Section

Research Articles

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Copyright (c) 2025 Kristijan Mirkovski, Cathal Doyle, James Gaskin

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