The hunt for red flags: cybervetting as morally performative practice

2021 ◽  
Author(s):  
Steve McDonald ◽  
Amanda K Damarin ◽  
Hannah McQueen ◽  
Scott T Grether
Keyword(s):  
Social Media ◽  
Labor Market ◽  
Red Flags ◽  
Hiring Decisions ◽  
Market Institutions ◽  
Organizational Fit ◽  
Workplace Interactions ◽  
Job Candidates ◽  
Different Types ◽  
Internet Searches

Abstract Cybervetting refers to screening job candidates by evaluating information collected from internet searches and social media profiles. Relatively little is known about how organizational actors use this practice in hiring decisions. Interviews with 61 human resource (HR) professionals reveal that they cybervet in order to minimize hiring risks and maximize organizational fit. Their judgments are deeply rooted in assessments of job candidates’ moral character and how it might affect workplace interactions. Because it involves the construction of moral criteria that shape labor market actions and outcomes, we describe cybervetting as a morally performative practice. HR professionals express enthusiasm for cybervetting, but also concerns about privacy, bias and fairness. Importantly, cybervetting practices and policies vary substantially across different types of organizations. These findings deepen our understanding of how organizational actors define and regulate moral behavior and how their actions are moderated by market institutions.

Do Job Candidates' Effort Promises Matter When the Labor Market is Competitive? Experimental Evidence

2021 ◽  
Author(s):  
Markus C. Arnold ◽  
Robert A. Grasser
Keyword(s):  
Labor Market ◽  
Labor Markets ◽  
Experimental Evidence ◽  
Hiring Decisions ◽  
Job Candidates ◽  
Develop Theory ◽  
Work Relationship ◽  
Promise Keeping ◽  
Total Effort

Using an experiment, we investigate whether job candidates' noncontractible effort promises increase their actual effort in the work relationship when the labor market is competitive. Due to promise-keeping preferences, individuals tend to keep promises even if doing so is costly. However, when promises can be made strategically to influence hiring decisions, it is unclear whether workers are less likely to keep their promises. We develop theory to predict that making effort promises matters even more when labor markets are competitive. We find workers promise higher effort levels when competing for a job than when they do not, but do not keep promises to a lesser extent although the costs of promise-keeping increase with the promise size, thereby increasing the total effort provided. The results enhance our understanding of the effects of worker-employer communication during hiring, particularly in a competitive setting in which such communication is most likely to occur.

scholarly journals Types of institutions and well-being of self-employed and paid employees in Europe

2019 ◽  
Author(s):  
Michael Fritsch ◽  
Alina Sorgner ◽  
Michael Wyrwich
Keyword(s):  
Labor Market ◽  
Well Being ◽  
Labor Market Institutions ◽  
Market Institutions ◽  
Occupational Groups ◽  
Different Types ◽  
Labor Market Regulations ◽  
Entrepreneurial Society

Abstract This paper analyzes the role of different types of institutions, such as entrepreneurship-facilitating entry conditions, labor market regulations, quality of government, and perception of corruption for individual well-being among self-employed and paid employed individuals. Well-being is operationalized by job and life satisfaction of individuals in 32 European countries measured by data from EU Statistics on Income and Living Conditions (EU-SILC). We find that institutions never affected both occupational groups in opposite ways. Our findings indicate that labor market institutions do not play an important role for well-being. The results suggest that fostering an entrepreneurial society in Europe is a welfare-enhancing strategy that benefits both, the self-employed and paid employees.

scholarly journals Trends in Wage Inequality in the Netherlands

De Economist ◽  
2021 ◽  
Author(s):  
Colja Schneck
Keyword(s):  
Labor Market ◽  
The Netherlands ◽  
Wage Inequality ◽  
Wage Distribution ◽  
Labor Market Institutions ◽  
Market Institutions ◽  
Educational Degree ◽  
Over Time

AbstractIn this paper I analyze changes in the wage distribution in the Netherlands. I use a matched employer-employee dataset that covers the population of employees. Wage inequality increases over the period of 2001–2016. Changes in between-firm wage components are responsible for nearly the entire increase. Increases in the variance of workers’ skills and increases in worker sorting and worker segregation explain the majority of the rise in the variance of wages. These changes are accompanied by a pattern where variation in educational degree and firm average wages become more correlated over time. Finally, it is suggested that labor market institutions in the Netherlands play an important role in mediating overall wage inequality.

scholarly journals Employment Lapses and Subsequent Hiring Disadvantages: An Experimental Approach Examining Types of Discrimination and Mechanisms

2021 ◽  
Vol 7 ◽  
pp. 237802312110198
Author(s):  
Katherine Weisshaar
Keyword(s):  
Labor Market ◽  
Job Performance ◽  
Experimental Approach ◽  
Cognitive Biases ◽  
Job Applicants ◽  
Survey Experiment ◽  
Hiring Decisions ◽  
Positive Information ◽  
Employment Gaps ◽  
Types Of Information

Employment interruption is a common experience in today’s labor market, most frequently due to unemployment from job loss and temporary lapses to care for family or children. Although existing research shows that employment lapses cause disadvantages at the hiring interface compared to individuals with no employment disruptions, competing theories predict different mechanisms explaining these hiring penalties. In this study, the author uses an original conjoint survey experiment to causally assess perceptions of fictitious job applicants, focusing on a comparison of unemployed applicants and nonemployed caregiver applicants, who left work to care for family, to currently employed applicants. The author examines whether disadvantages for job applicants with employment gaps are receptive to positive information (and therefore represent a form of “informational bias”) or are resistant to information (reflecting “cognitive bias”) and further assesses which types of information affect or do not affect levels of bias in fictitious hiring decisions. Results show that positive information on past job performance and social skills essentially eliminates disadvantages faced by unemployed job applicants, but nonemployed caregiver applicants remain disadvantaged even with multiple types of positive information. These findings suggest that unemployed applicants face informational biases but that nonemployed caregiver applicants face cognitive biases that are rigid even with rich forms of positive or counter-stereotypical information. This study has implications for understanding the career consequences of employment disruption, which is especially relevant to consider in light of labor market disruptions during the recent pandemic.

scholarly journals Perceiving Residents’ Festival Activities Based on Social Media Data: A Case Study in Beijing, China

2021 ◽  
Vol 10 (7) ◽  
pp. 474
Author(s):  
Bingqing Wang ◽  
Bin Meng ◽  
Juan Wang ◽  
Siyu Chen ◽  
Jian Liu
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Model ◽  
Central Area ◽  
Classification Model ◽  
Social Media Data ◽  
Ring Road ◽  
Different Types ◽  
Spatial Differences ◽  
Media Data

Social media data contains real-time expressed information, including text and geographical location. As a new data source for crowd behavior research in the era of big data, it can reflect some aspects of the behavior of residents. In this study, a text classification model based on the BERT and Transformers framework was constructed, which was used to classify and extract more than 210,000 residents’ festival activities based on the 1.13 million Sina Weibo (Chinese “Twitter”) data collected from Beijing in 2019 data. On this basis, word frequency statistics, part-of-speech analysis, topic model, sentiment analysis and other methods were used to perceive different types of festival activities and quantitatively analyze the spatial differences of different types of festivals. The results show that traditional culture significantly influences residents’ festivals, reflecting residents’ motivation to participate in festivals and how residents participate in festivals and express their emotions. There are apparent spatial differences among residents in participating in festival activities. The main festival activities are distributed in the central area within the Fifth Ring Road in Beijing. In contrast, expressing feelings during the festival is mainly distributed outside the Fifth Ring Road in Beijing. The research integrates natural language processing technology, topic model analysis, spatial statistical analysis, and other technologies. It can also broaden the application field of social media data, especially text data, which provides a new research paradigm for studying residents’ festival activities and adds residents’ perception of the festival. The research results provide a basis for the design and management of the Chinese festival system.

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