An fMRI Exploration of Information Processing in Electronic Networks of Practice

Published on Sep 1, 2019in Management Information Systems Quarterly5.37
· DOI :10.25300/MISQ/2019/15093
Thomas O. Meservy13
Estimated H-index: 13
Kelly J. Fadel11
Estimated H-index: 11
+ 1 AuthorsRayman D. Meservy6
Estimated H-index: 6
Online forums sponsored by electronic networks of practice have become an important source of information for individuals seeking solutions to problems online. However, not all information available in a forum is helpful or accurate, requiring knowledge seekers to evaluate and filter the solutions they encounter. Most forums offer contextual cues to help knowledge seekers make evaluation decisions, yet little is understood about the cognitive processes and neural mechanisms that underlie how information on these forums is filtered and evaluated. This paper draws on literature in cognitive neuroscience and NeuroIS to develop exploratory research questions about the role of both content and contextual cues in forum filtering tasks, the comparative and interactive effects of different types of contextual cues, and the neural functions associated with filtering processes. These questions are explored using an fMRI experimental study that captured forum information filtering behaviors and measured the neural correlates involved in evaluating both solution content and contextual cues. Results show that both content and contextual cues influence final filtering decisions, with community-based cues factoring more heavily than expert-based cues. Moreover, we observe distinct neural activation patterns when forum knowledge seekers encounter certain cue combinations. Based on our observations, we derive a theoretical model comprising testable research propositions about both behavioral and neural facets of forum information filtering.
📖 Papers frequently viewed together
2011CHI: Human Factors in Computing Systems
6 Authors (Joshua Hailpern, ..., Nik Shkrob)
36 Citations
2010IIiX: Information Interaction in Context
2 Authors (Colleen Cool, Iris Xie)
2 Citations
Cited By2
#1Matthew L. Jensen (OU: University of Oklahoma)H-Index: 16
#2Michael MatthewsH-Index: 1
Last. Kelly J. Fadel (USU: Utah State University)H-Index: 11
view all 4 authors...
#1René RiedlH-Index: 25
#2Thomas FischerH-Index: 62
Last. Fred D. Davis (TTU: Texas Tech University)H-Index: 49
view all 4 authors...
NeuroIS is a field in Information Systems (IS) that makes use of neuroscience and neurophysiological tools and knowledge to better understand the development, adoption, and impact of information and communication technologies. The fact that NeuroIS now exists for more than a decade motivated us to comprehensively review the academic literature. Investigation of the field's development provides insights into the status of NeuroIS, thereby contributing to identity development in the NeuroIS field....
8 CitationsSource
#1Khawaja A. Saeed (KSU: Kennesaw State University)H-Index: 1
#2Jingjun (David) XuH-Index: 1
The Bass model is widely used in the literature to capture the diffusion of innovations and shows excellent predictive power in the context of durable goods. However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize regularly are regarded as a continuous process that entails the possibility of dis-adoption and re-adoption. These aspects are not accounted for in the traditional Bass model. Thus, this study extends the Bass mod...
3 CitationsSource