The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use

By Anne Beaudry, Alain Pinsonneault. MIS Q., 2010

840 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/acdd65c2919bec99a5f3858943b6cc1ba8521631

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (2014, background): “Within psychology, there have been loud calls to move beyond valence in examining the effect of emotions (Lerner and Keltner 2000), and within IS, a few scholars have explored the distinct roles of discrete emotions in technology acceptance (Venkatesh 2000), technology use (Beaudry and Pinsonneault ”
Taking "Fun and Games" Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM) (2012, neutral): “…and affect, we believe that further considering the effects of emotions on HMS acceptance is promising—as has been recently investigated in a UMS (banking system) study examining the effects of anxiety, anger, happiness, and excitement on system acceptance (Beaudry & Pinsonneault, 2010).”
The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research (2019, methodology): “for a while (Beaudry and Pinsonneault 2010; Galluch et al 2015) and engaging in a different activity before returning.”
Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users (2015, background): “Emotions that have been examined in past IS research were not self-re ﬂ ective and emerged merely from what a user gets from an IS, let it be enjoyment, arousal, or anxiety (see review in Beaudry & Pinsonneault, 2010).”
The effects of technostress within the context of employee use of ICT (2014, background): “Dissatisfaction can be classified as a mental state that reflects the perception of the use of ICT as a threat, and the perception of a lack of control over its consequences (Beaudry & Pinsonneault, 2010).”
Citizens’ adoption of an electronic government system: towards a unified view (2015, background): “Anxiety is considered a deterrent emotion that arises when the individual sees an IT event as a threat and feels that he or she has only partial control over the outcome from the system (Beaudry and Pisonneault 2010).”
The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and its Continued Relevance (2019, background): “…software outsourcing industry II Social Imperative on the Technical Technology as a predominant outcome of social structures or processes Beaudry and Pinsonneault (2010), MISQ: Exploration how human emotions influence the use of IT Venkatesh et al. (2011), ISR: Investigation of how network…”
Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior (2019, background): “Secondly, the IS literature indicates that individuals may cope with the disruptive and stressful effects of IT by avoiding or stopping its use (Beaudry and Pinsonneault 2010; Stein et al. 2015).”
The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context (2013, background): “Emotion (excitement, happiness, anger, anxiety) Beaudry and Pinsonneault 2010 Emotions are defined as a mental state of readiness for action that arises from the appraisal of an IT event (in this study, the IT event is the announcement of the imminent deployment of a new system).”