Numerous studies show that happy individuals are successful across multiple life domains, including marriage, friendship, income, work performance, and health. The authors suggest a conceptual model to account for these findings, arguing that the happiness-success link exists not only because success makes people happy, but also because positive affect engenders success. Three classes of evidence--crosssectional, longitudinal, and experimental--are documented to test their model. Relevant studies are described and their effect sizes combined meta-analytically. The results reveal that happiness is associated with and precedes numerous successful outcomes, as well as behaviors paralleling success. Furthermore, the evidence suggests that positive affect--the hallmark of well-being--may be the cause of many of the desirable characteristics, resources, and successes correlated with happiness. Limitations, empirical issues, and important future research questions are discussed.

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The Benefits of Frequent Positive Affect: Does Happiness Lead to Success?

With the proliferation and ubiquity of information and communication technologies (ICTs), it is becoming imperative for individuals to constantly engage with these technologies in order to get work accomplished. Academic literature, popular press, and anecdotal evidence suggest that ICTs are responsible for increased stress levels in individuals (known as technostress). However, despite the influence of stress on health costs and productivity, it is not very clear which characteristics of ICTs create stress. We draw from IS and stress research to build and test a model of technostress. The person-environment fit model is used as a theoretical lens. The research model proposes that certain technology characteristics--like usability (usefulness, complexity, and reliability), intrusiveness (presenteeism, anonymity), and dynamism (pace of change)--are related to stressors (work overload, role ambiguity, invasion of privacy, work-home conflict, and job insecurity). Field data from 661 working professionals was obtained and analyzed. The results clearly suggest the prevalence of technostress and the hypotheses from the model are generally supported. Work overload and role ambiguity are found to be the two most dominant stressors, whereas intrusive technology characteristics are found to be the dominant predictors of stressors. The results open up new avenues for research by highlighting the incidence of technostress in organizations and possible interventions to alleviate it.

Technostress: technological antecedents and implications

Counterproductive work behavior (CWB) in response to job stressors and organizational justice: Some mediator and moderator tests for autonomy and emotions

The dimensionality of counterproductivity: Are all counterproductive behaviors created equal?

An emotion-centered model of voluntary work behavior: Some parallels between counterproductive work behavior and organizational citizenship behavior

Prior research linking job stressors to psychological strains has been limited to a small number of emotional reactions. This article describes research linking job stressors to a wide range of affective states at work. In Study 1, a multidimensional scaling procedure was used on a matrix of similarity judgments by 51 employees of 56 job-related affective statements to support a 2-dimensional view of affective well-being. In Study 2, ratings of the affect statements by 100 employees further supported the contention that the dimensions were pleasure-displeasure and degree of arousal. In Study 3, 114 full-time university employees responded to the Job-Related Affective Well-Being Scale, which was found to be related to measures of job stressors as well as job satisfaction and physical symptoms.

Using the Job-Related Affective Well-Being Scale (JAWS) to investigate affective responses to work stressors.

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Using the Job-Related Affective Well-Being Scale (JAWS) to investigate affective responses to work stressors.