In conjunction with the AIS Women’s Network College, UKAIS is delighted to announce the next in our seminar series – “A DNA Helix Analogy for Interdependent Mixed-Methods Research: Enabling Cross-Fertilizations and Interim Meta-Inferences” with Ariana Polyviou, Cyprus University of Technology.
Abstract
Mixed methods enable a more integrated and insightful understanding of the phenomena we study, but are complex to plan, execute, and document. This applies to concurrent and fully integrated mixed methods research designs in particular, which remain underrepresented in information systems research. In this paper, we extend the prevailing templates for this type of research and propose a new conceptualization. We argue that different research strands (e.g., qualitative, quantitative, computationally intensive, or other) that unfold at the same time need not be independent. Rather, as they run concurrently, they can interact and inform each other through ongoing cross-fertilization. This offers the opportunity for enhanced validation and deeper research insights. We conceptualize how the interaction between the research strands may unfold and we propose a DNA helix analogy to enable and enhance the conceptualization of such interdependent mixed methods research. We further explain the mechanism through which the different research strands interact in an ongoing cross-fertilization, and how interim meta-inferences may be continuously and incrementally drawn, (re)shaping how each research strand evolves. The research process within this conceptualization is depicted in a flow diagram that can serve as a possible roadmap for this type of research. We also show how this process can be documented, contributing to more transparent accounts of how mixed methods research actually evolves. We refer to our research on cloud adoption as an example and further validate our proposed research design with interviews with junior and experienced researchers engaged in mixed methods research. We conclude with a set of principles to guide interdependent mixed methods research and present their practical implications.
Topic: UKAIS seminar
Time: Mar 18, 2025 11:00 AM London
Join Zoom Meeting
https://universityofsussex.zoom.us/j/99478185554
Meeting ID: 994 7818 5554
—
One tap mobile
+13092053325,,99478185554# US
+13126266799,,99478185554# US (Chicago)
—
Dial by your location
• +1 309 205 3325 US
• +1 312 626 6799 US (Chicago)
• +1 346 248 7799 US (Houston)
• +1 360 209 5623 US
• +1 386 347 5053 US
• +1 507 473 4847 US
• +1 564 217 2000 US
• +1 646 558 8656 US (New York)
• +1 646 931 3860 US
• +1 669 444 9171 US
• +1 669 900 9128 US (San Jose)
• +1 689 278 1000 US
• +1 719 359 4580 US
• +1 253 205 0468 US
• +1 253 215 8782 US (Tacoma)
• +1 301 715 8592 US (Washington DC)
• +1 305 224 1968 US
Meeting ID: 994 7818 5554
Find your local number: https://universityofsussex.zoom.us/u/ae7sfuBFu
—
Join by SIP
—
Join by H.323
• 144.195.19.161 (US West)
• 206.247.11.121 (US East)
• 115.114.131.7 (India Mumbai)
• 115.114.115.7 (India Hyderabad)
• 159.124.15.191 (Amsterdam Netherlands)
• 159.124.47.249 (Germany)
• 159.124.104.213 (Australia Sydney)
• 159.124.74.212 (Australia Melbourne)
• 170.114.180.219 (Singapore)
• 64.211.144.160 (Brazil)
• 159.124.132.243 (Mexico)
• 159.124.168.213 (Canada Toronto)
• 159.124.196.25 (Canada Vancouver)
• 170.114.194.163 (Japan Tokyo)
• 147.124.100.25 (Japan Osaka)
Meeting ID: 994 7818 5554