article

The affective response model: a theoretical framework of affective concepts and their relationships in the ICT context

Author:

Ping ZhangAuthors Info & Claims

MIS Quarterly, Volume 37, Issue 1

Pages 247 - 274

https://doi.org/10.25300/MISQ/2013/37.1.11

Published: 01 March 2013 Publication History

Abstract

Affect is a critical factor in human decisions and behaviors within many social contexts. In the information and communication technology (ICT) context, a growing number of studies consider the affective dimension of human interaction with ICTs. However, few of these studies take systematic approaches, resulting in inconsistent conclusions and contradictory advice for researchers and practitioners. Many of these issues stem from ambiguous conceptualizations of various affective concepts and their relationships. Before researchers can address questions such as "what causes affective responses in an ICT context" and "what impacts do affective responses have on human interaction with ICTs," a theoretical foundation for affective concepts and their relationships has to be established.

This theory and review paper addresses three research questions: (1) What are pertinent affective concepts in the ICT context? (2) In what ways are these affective concepts similar to, or different from each other? (3) How do these affective concepts relate to or influence one another? Based on theoretical reasoning and empirical evidence, the affective response model (ARM) is developed. ARM is a theoretically bound conceptual framework that provides a systematic and holistic reference map for any ICT study that considers affect. It includes a taxonomy that classifies affective concepts along five dimensions: the residing, the temporal, the particular/general stimulus, the object/behavior stimulus, and the process/outcome dimensions. ARM also provides a nomological network to indicate the causal or co-occurring relationships among the various types of affective concepts in an ICT interaction episode. ARM has the power for explaining and predicting, as well as prescribing, potential future research directions.

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cover image MIS Quarterly

MIS Quarterly Volume 37, Issue 1

March 2013

327 pages

ISSN:0276-7783

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Society for Information Management and The Management Information Systems Research Center

United States

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Published: 01 March 2013

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Lutz BAdam MFeuerriegel SPröllochs NNeumann D(2024)Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective ProcessingProceedings of the ACM on Human-Computer Interaction10.1145/36410308:CSCW1(1-22)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641030
Elhamdadi HStefkovics ABeyer JMoerth EPfister HBearfield CNobre C(2024)Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332657930:1(348-358)Online publication date: 1-Jan-2024
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Seitz JBenke IHeinzl AMaedche A(2024)The Impact of Video Meeting Systems on Psychological User StatesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103178182:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103178
Alashoor TKeil MSmith HMcConnell A(2023)Too Tired and in Too Good of a Mood to Worry About PrivacyInformation Systems Research10.1287/isre.2022.118234:4(1415-1436)Online publication date: 1-Dec-2023
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Li YZhang KZheng B(2023)Is in-store mobile usage a toxic to customer purchase? A multigroup analysis of customer typeElectronic Commerce Research and Applications10.1016/j.elerap.2023.10130661:COnline publication date: 1-Sep-2023
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Ye XZhao YLi JZhang YHansen P(2023)Exploring the Information Cues of Danmaku Comments to Stimulate Users' Affective Generation in Reaction VideosProceedings of the Association for Information Science and Technology10.1002/pra2.84760:1(723-727)Online publication date: 22-Oct-2023
Odonkor EPallud J(2022)A Configurational Approach to Understanding the Drivers of Mobile Phone Usage in Developing CountriesJournal of Global Information Management10.4018/JGIM.29932230:1(1-19)Online publication date: 22-Apr-2022
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