The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use1
Abstract
Much ado has been made regarding user acceptance of new information technologies. However, research has been primarily based on cognitive models and little attention has been given to emotions. This paper argues that emotions are important drivers of behaviors and examines how emotions experienced early in the implementation of new IT applications relate to IT use. We develop a framework that classifies emotions into four distinct types: challenge, achievement, loss, and deterrence emotions. The direct and indirect relationships between four emotions (excitement, happiness, anger, and anxiety) and IT use were studied through a survey of 249 bank account managers. Our results indicate that excitement was positively related to IT use through task adaptation. Happiness was directly positively related to IT use and, surprisingly, was negatively associated with task adaptation, which is a facilitator of IT use. Anger was not related to IT use directly, but it was positively related to seeking social support, which in turn was positively related to IT use. Finally, anxiety was negatively related to IT use, both directly and indirectly through psychological distancing. Anxiety was also indirectly positively related to IT use through seeking social support, which countered the original negative effect of anxiety. Post hoc ANOVAs were conducted to compare IT usage of different groups of users experiencing similar emotions but relying on different adaptation behaviors. The paper shows that emotions felt by users early in the implementation of a new IT have important effects on IT use. As such, the paper provides a complementary perspective to understanding acceptance and antecedents of IT use. By showing the importance and complexity of the relationships between emotions and IT use, the paper calls for more research on the topic.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
Lazarus, R. S. (1991) · doi:10.1093/oso/9780195069945.001.0001 · Cited by 12,691
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Assessing coping strategies: A theoretically based approach.
Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.2.267 · Cited by 11,507
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
What good are positive emotions?
Fredrickson, B. L. (1998) · Review of General Psychology · doi:10.1037/1089-2680.2.3.300 · Cited by 6,066
Folkman, S., & Lazarus, R. S. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.48.1.150 · Cited by 4,845
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
The ripple effect: emotional contagion and its influence on group behavior
Barsade, S. G. (2002) · Administrative Science Quarterly · doi:10.2307/3094912 · Cited by 3,361
Positive affect facilitates creative problem solving.
Isen, A. M., Daubman, K. A., & Nowicki, G. P. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.6.1122 · Cited by 2,986
Positive affect and the other side of coping.
Folkman, S., & Moskowitz, J. T. (2000) · American Psychologist · doi:10.1037/0003-066x.55.6.647 · Cited by 2,471
Psychological and physical well-being during unemployment: a meta-analytic study
McKee-Ryan, F., Song, Z., Wanberg, C. R., & Kinicki, A. J. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.1.53 · Cited by 2,269
The role of social support in the process of work stress: a meta-analysis
Viswesvaran, C., Sanchez, J. I., & Fisher, J. (1999) · Journal of Vocational Behavior · doi:10.1006/jvbe.1998.1661 · Cited by 1,331
Mood and emotions in small groups and work teams
Kelly, J. R., & Barsade, S. G. (2001) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.2001.2974 · Cited by 1,011
Understanding User Responses to Information Technology: A Coping Model of User Adaptation1
Beaudry, A., & Pinsonneault, A. (2005) · MIS Quarterly · doi:10.2307/25148693 · Cited by 869
Self-citation
Research works printed but not linked: 61
- Bagozzi, 1992, The Self-Regulation of Attitudes, Intentions, and Behaviors, Social Psychology Quarterly, 55, 178, 10.2307/2786945 · DOI · Paper page
- Bagozzi, 1999, The Role of Emotions in Marketing, Journal of the Academy of Marketing Science, 27, 184, 10.1177/0092070399272005 · DOI · Paper page
- Bassellier, 2003, The Influence of Business Managers’ IT Competence on Championing IT, Information Systems Research, 14, 317, 10.1287/isre.14.4.317.24899 · DOI · Paper page
- Billings, 1984, Coping, Stress, and Resources Among Adults with Unipolar Depression, Journal of Personality and Social Psychology, 46, 877, 10.1037/0022-3514.46.4.877 · DOI · Paper page
- Briggs, 2008, The Yield Shift Theory of Satisfaction and its Application to the IS/IT Domain, Journal of the Association for Information Systems, 9, 267, 10.17705/1jais.00160 · DOI
- Brown, 2004, Who’s Afraid of the Virtual World? Anxiety and Computer-Mediated Communication, Journal of the Association for Information Systems, 5, 79, 10.17705/1jais.00046 · DOI
- Brown, 2005, Good Cope, Bad Cope: Adaptive and Maladaptive Coping Strategies Following a Critical negative Work Event, Journal of Applied Psychology, 90, 792, 10.1037/0021-9010.90.4.792 · DOI · Paper page
- Bushman, 2002, Does Venting Anger Feed or Extinguish the Flame? Catharsis, Rumination, Distraction, Anger and Aggressive Responding, Personality and Social Psychology Bulletin, 28, 724, 10.1177/0146167202289002 · DOI · Paper page
- Bushman, 2001, Do People Aggress to Improve Their Mood? Catharsis Beliefs, Affect Regulation Opportunity, and Aggressive Responding, Journal of Personality and Social Psychology, 81, 17, 10.1037/0022-3514.81.1.17 · DOI · Paper page
- Carver, 1986, Analyzing Shyness: A Specific Application of Broader Self-Regulatory Principles, 173, 10.1007/978-1-4899-0525-3_14 · DOI
- Cenfetelli, 2004, Getting in Touch with Our Feelings Towards Technology, F1
- Chin, 1995, Adoption Intention in GSS: Relative Importance of Beliefs, The Data Base for Advances in Information Systems, 26, 42, 10.1145/217278.217285 · DOI · Paper page
- Compeau, 1995, Computer Self-Efficacy: Development of a Measure and Initial Test, MIS Quarterly, 19, 189, 10.2307/249688 · DOI · Paper page
- Compeau, 1999, Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study, MIS Quarterly, 23, 145, 10.2307/249749 · DOI · Paper page
- Cooper, 1990, Information Technology Implementation Research: A Technological Diffusion Approach, Management Science, 36, 123, 10.1287/mnsc.36.2.123 · DOI · Paper page
- Duhachek, 2005, Coping: A Multidimensional, Hierarchical Framework of Responses to Stressful Consumption Episodes, Journal of Consumer Research, 32, 41, 10.1086/426612 · DOI · Paper page
- Ellsworth, 1988, From Appraisal to Emotion: Differences Among Unpleasant Feelings, Motivation and Emotion, 2, 271, 10.1007/BF00993115 · DOI · Paper page
- Folkman, 1986, Dynamics of a Stressful Encounter: Cognitive Appraisal, Coping, and Encounter Outcomes, Journal of Personality and Social Psychology, 50, 992, 10.1037/0022-3514.50.5.992 · DOI · Paper page
- Frijda, 1986, The Emotions
- Fugate, 2002, Coping with An Organizational Merger Over Four Stages, Personnel Psychology, 55, 905, 10.1111/j.1744-6570.2002.tb00134.x · DOI
- Gelbrich, 2009, Beyond Just Being Dissatisfied: How Angry and Helpless Customers React to Failures When Using Self-Service Technologies, Schmalenbach Business Review, 61, 40, 10.1007/BF03396779 · DOI
- Gratch, 2004, A Domain-Independent Framework for Modeling Emotion, Cognitive Systems Research, 5, 269, 10.1016/j.cogsys.2004.02.002 · DOI · Paper page
- Hackett, 1996, An Evaluation of Employee Absenteeism as a Coping Mechanism among Hospital Nurses, Journal of Occupational and Organizational Psychology, 69, 327, 10.1111/j.2044-8325.1996.tb00619.x · DOI
- Han, 2007, Feelings and Consumer Decision Making: The Appraisal-Tendency Framework, Journal of Consumer Psychology, 17, 158, 10.1016/S1057-7408(07)70023-2 · DOI · Paper page
- Isen, 1984, The Influence of Affect on Categorization, Journal of Personality and Social Psychology, 47, 1206, 10.1037/0022-3514.47.6.1206 · DOI · Paper page
- Keltner, 1993, Beyond Simple Pessimism: Effects of Sadness and Anger on Social Perception, Journal of Personality and Social Psychology,”, 64, 740, 10.1037/0022-3514.64.5.740 · DOI · Paper page
- Koufaris, 2002, Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior, Information Systems Research, 13, 205, 10.1287/isre.13.2.205.83 · DOI · Paper page
- Lapointe, 2005, A Multilevel Model of Resistance to Information Technology Implementation, MIS Quarterly, 29, 461, 10.2307/25148692 · DOI · Paper page
- Lapointe, 2007, A Triple Take on Information Systems Implementation, Organization Science, 18, 89, 10.1287/orsc.1060.0225 · DOI
- Lerner, 2000, Beyond Valence: Toward a Model of Emotion-Specific Influences on Judgement and Choice, Cognition and Emotion, 14, 473, 10.1080/026999300402763 · DOI · Paper page
- Lerner, 2006, Portrait of the Angry Decision Maker: How Appraisal Tendencies Shape Anger’s Influence on Cognition, Journal of Behavioral Decision Making, 19, 115, 10.1002/bdm.515 · DOI · Paper page
- Lewis, 2003, Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers, MIS Quarterly, 27, 657, 10.2307/30036552 · DOI · Paper page
- Loewenstein, 2001, Risk as Feelings, Psychological Bulletin, 127, 267, 10.1037/0033-2909.127.2.267 · DOI · Paper page
- Majchrzak, 2000, Technology Adaptation: The Case of a Computer-Supported Inter-Organizational Virtual Team, MIS Quarterly, 24, 569, 10.2307/3250948 · DOI · Paper page
- Malone, 1981, Toward a Theory of Intrinsically Motivated Instruction, Cognitive Science, 4, 333
- Malone, 1987, Making Learning Fun: A Taxonomy of Intrinsic Motivations For Learning, 223
- Markus, 1983, Power, Politics, and MIS Implementation, Communications of the ACM, 26, 430, 10.1145/358141.358148 · DOI · Paper page
- McCrae, 1984, Situational Determinants of Coping Responses: Loss, Threat, and Challenge, Journal of Personality and Social Psychology, 46, 919, 10.1037/0022-3514.46.4.919 · DOI · Paper page
- Mintzberg, 1973, The Nature of Managerial Work
- Moos, 1982, Conceptualizing and Measuring Coping Resources and Processes, 212
- Prasad, 2000, Stretching the Iron Cage: The Constitution and Implications of Routine Workplace Resistance, Organization Science, 11, 387, 10.1287/orsc.11.4.387.14597 · DOI · Paper page
- Rafaeli, 2004, Emotion as a Connection of Physical Artifacts and Organizations, Organization Science, 15, 671, 10.1287/orsc.1040.0083 · DOI · Paper page
- Rogers, 1983, Diffusion of Innovations
- Scheff, 1979, Catharsis in Healing, Ritual, and Drama
- Scherer, 2001, Effects of Emotion on the Process of Organizational Learning, 369, 10.1093/oso/9780198295839.003.0020 · DOI · Paper page
- Smith, 1985, Patterns of Cognitive Appraisal in Emotion, Journal of Personality and Social Psychology, 48, 813, 10.1037/0022-3514.48.4.813 · DOI · Paper page
- Srite, 2007, Effects of Individuals’ Psychological States on Their Satisfaction with the GSS Process, Information & Management, 44, 535, 10.1016/j.im.2007.04.005 · DOI
- Stets, 2001, Negative Emotion and Coping Responses Within Identity Control Theory, Social Psychology Quarterly, 64, 283, 10.2307/3090117 · DOI
- Terry, 1996, Employee Adjustment to an Organizational Merger: Stress, Coping, and Intergroup Differences, Stress and Medicine, 12, 105, 10.1002/(SICI)1099-1700(199604)12:2<105::AID-SMI695>3.0.CO;2-Q · DOI
- Thatcher, 2002, An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy, MIS Quarterly, 26, 381, 10.2307/4132314 · DOI · Paper page
- Thüring, 2007, Usability, Aesthetics and Emotions in Human-Technology Interaction, International Journal of Psychology, 42, 253, 10.1080/00207590701396674 · DOI · Paper page
- Todman, 1994, Qualitative Differences in Computer Experience, Computer Anxiety, and Students’ Use of Computers: A Path Model, Computers in Human Behavior, 10, 529, 10.1016/0747-5632(94)90045-0 · DOI
- Trevino, 1992, Flow in Computer-Mediated Communication: Electronic Mail and Voice Mail Evaluation and Impacts, Communication Research, 19, 539, 10.1177/009365092019005001 · DOI · Paper page
- Tyre, 1994, Windows of Opportunity: Temporal Patterns of Technological Adaptation in Organizations, Organization Science, 5, 98, 10.1287/orsc.5.1.98 · DOI · Paper page
- Venkatesh, 1999, Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation, MIS Quarterly, 23, 239, 10.2307/249753 · DOI · Paper page
- Walker, 1997, Autobiographical Memory: Unpleasantness Fades Faster than Pleasantness Over Time, Applied Cognitive Psychology, 11, 399, 10.1002/(SICI)1099-0720(199710)11:5<399::AID-ACP462>3.0.CO;2-E · DOI
- Webster, 1992, Microcomputer Playfulness: Development of a Measure with Workplace Implications, MIS Quarterly, 16, 201, 10.2307/249576 · DOI · Paper page
- Webster, 1993, The Dimensionality and Correlates of Flow in Human-Computer Interactions, Computers in Human Behavior, 9, 411, 10.1016/0747-5632(93)90032-N · DOI · Paper page
- Yi, 2004, Coping with Negative Emotions in Purchase-Related Situations, Journal of Consumer Psychology, 14, 303, 10.1207/s15327663jcp1403_11 · DOI · Paper page
- Zigurs, 1998, A Theory of Task/Technology Fit and Group Support Systems Effectiveness, MIS Quarterly, 22, 313, 10.2307/249668 · DOI · Paper page
- Zuboff, 1988, In the Age of the Smart Machine: The Future of Work and Power
Cited by
Tarafdar, M., Cooper, C. L., & Stich, J. (2019) · Information Systems Journal · doi:10.1111/isj.12169 · Cited by 1,085
Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402
Citizens' adoption of an electronic government system: towards a unified view
Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017) · Information Systems Frontiers · doi:10.1007/s10796-015-9613-y · Cited by 373
Zhang, P. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.11 · Cited by 331
Hertzum (2017) · doi:10.1145/3127358 · Cited by 307
Metadata
- Authors
- Beaudry, A., & Pinsonneault, A.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2010-12-01
- Volume
- 34
- Issue
- 4
- Pages
- 689-710
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1570850622
- Cited by
- 755
- References
- 24
- FWCI
- 56.59
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.