Using Psycho-physiological Interaction Analysis with fMRI Data in IS Research: A Guideline

Hubert, Marco; Linzmajer, Marc; Riedl, René; Hubert, Mirja; Kenning, Peter; Weber, Bernd

doi:10.17705/1cais.04009

Cited by 9 publications

(7 citation statements)

References 118 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Special issues on NeuroIS have been published in leading journals in the field, including the Journal of the Association for Information Systems (JAIS) and the Journal of Management Information Systems (JMIS). Highly cited papers on how to conduct NeuroIS studies have been published: including articles on NeuroIS methods (Dimoka, 2012;Dumont, El Mouderrib, Théoret, Sénécal, & Léger, 2018;Gefen, Hasan, & Onaral, 2014;Hubert et al, 2017;Müller-Putz, Riedl, & Wriessnegger, 2015;Riedl, Davis, & Hevner, 2014;vom Brocke & Liang, 2014); new analysis techniques specifically designed for IS research Léger et al, 2014); and a plethora of studies on IS phenomena that apply neuroscience theory, methods, and tools (for a review see Riedl, Fischer, & Léger, 2017).…”

Section: Introductionmentioning

confidence: 99%

Advancing a NeuroIS research agenda with four areas of societal contributions

Brocke

Hevner

Léger

et al. 2020

European Journal of Information Systems

Self Cite

View full text Add to dashboard Cite

On the 10th anniversary of the NeuroIS field, we reflect on accomplishments but, more importantly, on the future of the field. This commentary presents our thoughts on a future NeuroIS research agenda with the potential for high impact societal contributions. Four key areas for future information systems (IS) research are: (1) IS design, (2) IS use, (3) emotion research, and (4) neuro-adaptive systems. We reflect on the challenges of each area and provide specific research questions that serve as important directions for advancing the NeuroIS field. The research agenda supports fellow researchers in planning, conducting, publishing, and reviewing high impact studies that leverage the potential of neuroscience knowledge and tools to further information systems research. ARTICLE HISTORY

show abstract

Section: Introductionmentioning

confidence: 99%

Advancing a NeuroIS research agenda with four areas of societal contributions

Brocke

Hevner

Léger

et al. 2020

European Journal of Information Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Among different OSNs, Twitter is one of the most studied OSN (Hubert et al. 2017 ). (Pak and Paroubek 2010 ; Kouloumpis et al.…”

Section: Related Workmentioning

confidence: 99%

“…Among different OSNs, Twitter is one of the most studied OSN for social network research (Kumar and Sebastian 2012). One of the main advantages of platforms like Twitter for research is that, on these platforms, users are organized in networks, which makes it possible to investigate groups of people, or communities, united by common interests, rather than individual profiles or personalities which is enabled by extensive use of hashtags, mentions and retweets that forms a complex network (Hubert et al 2017), which in turn is important for big data analysis and digital marketing (Karataş and Şahin 2018;Saura 2020;Hu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Making sense of tweets using sentiment analysis on closely related topics

Bhatnagar

Choubey

2021

Soc. Netw. Anal. Min.

View full text Add to dashboard Cite

Microblogging has taken a considerable upturn in recent years, with the growth of microblogging websites like Twitter people have started to share more of their opinions about various pressing issues on such online social networks. A broader understanding of the domain in question is required to make an informed decision. With this motivation, our study focuses on finding overall sentiments of related topics with reference to a given topic. We propose an architecture that combines sentiment analysis and community detection to get an overall sentiment of related topics. We apply that model on the following topics: shopping, politics, covid19 and electric vehicles to understand emerging trends, issues and its possible marketing, business and political implications.

show abstract

“…Among different OSNs, Twitter is one of the most studied OSN [30]. [48,36,38] analyzes twitter tweets using sentiment analysis.…”

Section: Related Workmentioning

confidence: 99%

“…Among different OSNs, Twitter is one of the most studied OSN for social network research [38]. One of the main advantages of platforms like Twitter for research is that, on these platforms, users are organized in networks, which makes it possible to investigate groups of people, or communities, united by common interests, rather than individual profiles or personalities which is enabled by extensive use of hashtags, mentions and retweets that forms a complex network [30]. Which in-turn is important for big data analysis and digital marketing [32,58,29].…”

Section: Introductionmentioning

confidence: 99%