Organizational Communication and Burnout Symptoms

Job burnout is a psychological response to work stress. Many studies have been conducted measuring burnout and its causes and consequences. The research into causes of burnout brings up various communication-related constructs, but the relationships with feedback employees receive and communication climate is underexposed. This study investigates these relationships. Data for the current study were collected through a web-based questionnaire held among employees of a Dutch subsidiary of an international financial consultancy firm. The questionnaire included the following clusters of independent variables: (a) background variables, (b) work characteristics, (c) communication, and (d) organizational engagement. Of the four clusters of variables, the organizational engagement variables appeared to be the strongest predictors of job burnout. Still, the communication variables also made an important contribution. Particularly the communication climate and the co-worker social support appeared to be important antecedents of job burnout

Finding meaning in crowdwork:An analysis of algorithmic management, work characteristics, and meaningfulness

In this study we investigate the implications of different aspects of algorithmic coordination and algorithmic quantification for perceived work conditions and the meaningfulness of crowdwork. Using survey data obtained from 412 crowdworkers, our analysis shows that work conditions and the meaningfulness of work are impacted differently by algorithmic coordination and the feeling of being quantified by an algorithm. Specifically, it shows that algorithmic coordination has either a positive or null impact on perceived work conditions and meaningfulness of work. However, negative associations between algorithmic quantification and perceived work conditions, suggest that the algorithmic quantification seems particularly problematic for crowdworkers’ experienced work conditions. Furthermore, algorithmic coordination is positively associated with the meaningfulness of work, while algorithmic quantification is negatively associated with the perceived meaningfulness of work. Using work design theory, the findings also provide insights into the mechanisms explaining these relationships.</p

Lost in the crowd?:An investigation into where microwork is conducted and classifying worker types

The global expansion of the platform economy raised questions about where and by whom different forms of platform work are performed in Europe. This study focuses on microworking – that is, where an anonymous ‘crowd’ completes piecemeal digital work. Specifically, we address two questions about microworking in the EU-27: Where is microworking performed? Who is performing it? Based on the geolocation of 5,239 workers active on six prominent microworking platforms, we identify variation in the relative prevalence of microworking across the EU. Furthermore, we build on existing research to provide a more granular understanding of different classes of microworkers, in terms of diversity and (income) dependency. Four distinct classes of microworkers emerge through statistical modelling of eight relevant diversity and dependency indicators: age, gender, education, citizenship, experience, hours per week, personal income earned, household income. We label these classes Explorers, Enthusiasts, Supplementers, and Dependents. The identification of these emergent classes and varied prevalence of microworking across the EU, suggest the importance of heterogeneity to both the future study and regulation of microwork.</p

Understanding constant connectivity to work: How and for whom is constant connectivity related to employee well-being?

Over the past few decades, the widespread use of mobile work devices (MWDs: e.g., laptops and smartphones) has enabled constant connectivity to work. This study advances previous work on the effects of constant connectivity for employees by focusing on how and for whom constant connectivity might be related to employee well-being. Additionally, organizational-level antecedents of constant connectivity are investigated. This paper reports on two survey studies that a) operationalize constant connectivity and its organizational antecedents and b) investigate the relationship between constant connectivity and employee well-being. The findings demonstrate that constant connectivity is negatively related to employees' well-being due to the inability to disengage from work. Moreover, this negative association exists independently of

Assessing Organizational Information Visibility: Development and Validation of the Information Visibility Scale

A common observation in the digital age is that new technologies are making people’s behaviors, decisions, and preferences more visible. For scholars who study organizations and their effects upon society, increased information visibility raises the hope that organizations might become more transparent. Typically, we assume that increased information visibility will translate into high levels of organizational transparency, but we lack empirical evidence to support this assumption. Our ability to gather data on this important topic is limited because there have been few reliable ways to assess organizational information visibility. To remedy this problem, we develop and validate the Information Visibility Scale to measure the core aspects of information visibility. We then employ the scale to test the relationship between information visibility and transparency. We discuss the theoretical and practical implications of the scale and consider the limitations and further research possibilities that the scale construction and validation suggest

Determinants of the Use of a Diabetes Risk-Screening Test

A study was designed to investigate why people do or do not make use of a diabetes risk test developed to facilitate the timely diagnosis of diabetes. Data were collected using a web-based questionnaire, which was based on the Health Belief Model, the Theory of Planned Behavior, and the Threatening Medical Situations Inventory. People who had and had not used the risk test were recruited to complete the survey. The sample consisted of 205 respondents: 44% who had used the test and 56% who had not. The hypothesized relationships between the dependent variable (diabetes risk test use) and the determinants used in this study were tested using logistic regression analysis. Only two significant predictors of diabetes risk test use were found: gender and barriers. More women than men use the test. Furthermore, people who experience more barriers will be less inclined to use the test. The contribution of diabetes screening tests fully depends on people’s willingness to use them. To optimize the usage of such test, it is especially important to address the barriers as perceived by the public. Two types of barriers must be addressed: practical barriers (time to take the test, fear of complexity of the test), and consequential barriers (fear of the disease and treatment, uncertainties about where to go in the case of an increased risk of diabetes)

Self-Rated Health and Sickness-Related Absence: The Modifying Role of Civic Participation

In this study, we examined civic participation as an effect modifier between self-rated health and absence from work. Building on the theoretical framework of social exchange, we use German data to test a conceptual model relating self-rated health to sickness-related absence, as well as the interaction between self-rated health and civic participation. We used the 1996 wave of the German Socio-Economic Panel Study. Since sickness-related absence is a censored variable, we used a tobit regression model. The results confirmed the hypotheses: the effect between self-rated health and sickness-related absence was modified by civic participation, indicating that the effect of self-rated health on sickness-related absence is less pronounced for people who participate more as opposed to those who report less civic participation. In other words, those who are unhealthy and participate more, are fewer days absent from work. We argue that civic participation buffers the relationship between self-rated health and sickness-related absence because those who participate more have more resources to fulfill self-regulatory needs. Our findings emphasize the importance of civic participation outside the workplace for people at work when they do not feel physically well. (C) 2009 Elsevier Ltd. All rights reserved

Self-rated health and sickness-related absence: The modifying role of civic participation

In this study, we examined civic participation as an effect modifier between self-rated health and absence from work. Building on the theoretical framework of social exchange, we use German data to test a conceptual model relating self-rated health to sickness-related absence, as well as the interaction between self-rated health and civic participation. We used the 1996 wave of the German Socio-Economic Panel Study. Since sickness-related absence is a censored variable, we used a tobit regression model. The results confirmed the hypotheses: the effect between self-rated health and sickness-related absence was modified by civic participation, indicating that the effect of self-rated health on sickness-related absence is less pronounced for people who participate more as opposed to those who report less civic participation. In other words, those who are unhealthy and participate more, are fewer days absent from work. We argue that civic participation buffers the relationship between self-rated health and sickness-related absence because those who participate more have more resources to fulfill self-regulatory needs. Our findings emphasize the importance of civic participation outside the workplace for people at work when they do not feel physically well.Germany Sickness-related absence Civic participation Self-rated health Tobit regression