Moods and Their Relevance to Systems Usage Models within Organizations: An Extended Framework

Abstract

Dennis Galletta was the accepting Senior Editor. This article was submitted on 8/24/2009 and accepted on 6/15/2010. It was with the authors 19 weeks for 3 revisions.Loiacono, E. and S. Djamasbi (2010) Traditionally, information systems (IS) usage models have examined user behavior within a cognitive framework, that is, these models suggest that a user's cognition influences his/her IS usage behavior. Research over the past three decades has shown that mood, one's global feeling state at a given time, can significantly impact a person's cognitive processes. Mood effects on cognition are particularly relevant to organizational settings. Because moods are pervasive, they provide a stable context for cognitive processes that influence behavior at work; therefore, the inclusion of mood in individual IS usage models that support organizational tasks is both relevant and necessary. Because positive mood can enhance performance under certain circumstances, mood management is also relevant to IS usage models. Thus, we highlight how moods can be managed via IS and propose a model that takes into account users' moods at the time they work with a system. This model provides an extended framework for incorporating relevant mood literature into current IS usage behavioral models. With this model, researchers can examine certain aspects of the model (such as how IS design can influence user feeling states or how users' moods can impact their behavior), or conduct more comprehensive research using the entire model. This model can contribute to theory by providing a more complete picture of user behavior, and contribute to practice by helping mangers plan for desired outcomes.

Emotions in the Twitterverse and Implications for User Interface Design

“…The two observations about the Twitter interface made above broadly support Loiacono and Djamasbi's (2010) evidence that there is a connection between systems' design, users' mood, and how users interact with systems. This section also highlights a need for developers and usability experts to revisit and systematically account for mood detection methods and the increasingly social aspects of modern information and communication technologies when designing and evaluating systems.…”

“…The first direction of research concerns how users' emotional states can influence their perceptions of a system. Examples of related work in this direction include studies and theoretical models that seek to explain how users' emotions can influence their experience with a system and the likelihood of its adoption (Loiacono and Djamasbi, 2010;Venkatesh, 2000). The other direction of research explores how a user interface can influence or account for users' emotional states to achieve an end goal.…”

“…From a Human-Computer Interaction perspective, it is known that users' mood may affect how people interact with systems and that a system can be designed to perform mood management (Loiacono and Djamasbi, 2010). But can interface design elements of social networking systems influence a user's tendency to post negative or positive messages?…”

Interplay of cognition and emotion in IS usage

“…This paper joins in the growing body of IS literature that emphasizes the importance of emotions by considering the fact that IS users' emotions influence their behaviours (e.g. Beaudry and Pinsonneault, 2010;Loiacono and Djamasbi, 2010;McGrath, 2006). Ciborra (2002) argues that we always act within an emotional medium.…”

Toward a More Secure HRIS: The Role of HCI and Unconscious Behavior

“…Human-computer interaction researchers have examined aesthetics, emotion, and mood in conjunction with system use where they have found positive associations to enhance performance and perceptions (Cyr, Head, & Ivanov, 2006;Loiacono & Djamasbi, 2010). In addition, the neuro-information systems (neuroIS) subfield has shown the benefits of using neurophysiological tools and techniques to complement traditional psychometric tools to reflect unconscious processing (Dimoka et al, 2012;Riedl, Davis, & Hevner, 2014; Tams, Hill, Ortiz de Guinea, Thatcher, & Grover, 2014).…”