Although outcomes of job insecurity have been extensively examined, researchers have paid significantly less attention to antecedents of job insecurity. However, in order to lessen and eliminate job insecurity, a deeper understanding of the sources of job insecurity is required. Among triggers of job insecurity, very few studies have examined workplace interpersonal relationships as predictors of job insecurity. To fill this research gap, we examine the relation between workplace mistreatment (i.e., workplace incivility, bullying, and abusive supervision) and job insecurity. Examining multiple forms of mistreatment also allows us to compare and contrast the relative impact of each workplace mistreatment on job insecurity. Furthermore, we identify a group of individuals who are particularly vulnerable to the negative impact of workplace mistreatment—those who are high in work centrality. Across two lagged survey studies, we largely found that work centrality exacerbates the relations of workplace incivility, bullying, and abusive supervision with job insecurity. Thus, this research contributes to the occupational health literature by demonstrating the relative predictive power of multiple forms of workplace mistreatment on job insecurity and identifying a vulnerable group who might suffer more from workplace mistreatment (i.e., those high in work centrality).

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Social Welfare Computing is an emerging discipline that seeks to direct technology to cause minimum social disruption, and in particular seeks to minimize the harm caused directly by technology. This is markedly different from the better understood strategic use of technology to create value or to address existing social needs. Innovative technologies that are widely adopted created significant value for their users; otherwise they would not be widely adopted. Often the companies that create them obtain new sources of wealth and power, which inevitably lead to new abuses of power and new forms of societal disruption. Societal disruption in turn requires social adaptation, including new regulations to influence the behavior of firms and to define and to protect the rights of an individual in the changed society. Social Welfare Computing seeks to guide social adaptation, combining insights from disciplines as varied as anthropology, business strategy, economics, strategic planning, and law.

BackgroundThe early diagnosis of occult peritoneal metastasis (PM) remains a challenge due to the low sensitivity on computed tomography (CT) images. Exploratory laparoscopy is the gold standard to confirm PM but should only be proposed in selected patients due to its invasiveness, high cost, and port-site metastasis risk. In this study, we aimed to develop an individualized prediction model to identify occult PM status and determine optimal candidates for exploratory laparoscopy.MethodA total of 622 colorectal cancer (CRC) patients from 2 centers were divided into training and external validation cohorts. All patients’ PM status was first detected as negative on CT imaging but later confirmed by exploratory laparoscopy. Multivariate analysis was used to identify independent predictors, which were used to build a prediction model for identifying occult PM in CRC. The concordance index (C-index), calibration plot and decision curve analysis were used to evaluate its predictive accuracy and clinical utility.ResultsThe C-indices of the model in the development and validation groups were 0.850 (95% CI 0.815-0.885) and 0.794 (95% CI, 0.690-0.899), respectively. The calibration curve showed consistency between the observed and predicted probabilities. The decision curve analysis indicated that the prediction model has a great clinical value between thresholds of 0.10 and 0.72. At a risk threshold of 30%, a total of 40% of exploratory laparoscopies could have been prevented, while still identifying 76.7% of clinically occult PM cases. A dynamic online platform was also developed to facilitate the usage of the proposed model.ConclusionsOur individualized risk model could reduce the number of unnecessary exploratory laparoscopies while maintaining a high rate of diagnosis of clinically occult PM. These results warrant further validation in prospective studies.Clinical Trial Registrationhttps://www.isrctn.com, identifier ISRCTN76852032

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