Publications by Author: Fan, Wen

The notion of constellations is central to many occupational health theories; empirical research is nevertheless dominated by variable-centered methodologies. Guided by the job demands-resources framework, we use a person-centered longitudinal approach to identify constellations of job demands and resources (task-based and time-based) over time that predict changes in well-being. We situate our research in two dissimilar, but growing, industries in the United States—information technology (IT) and long-term care. Drawing on data collected over 18 months, we identify five patterned, stable constellations of job demands/resources using group-based multi-trajectory modeling: (1) high strain/low hours, (2) high strain/low hours/shift work, (3) high strain/long hours, (4) active (high demands, high control) and (5) lower strain (lower demands, high control). IT workers are overrepresented in the lower-strain and active constellations, whereas long-term care providers are more often in high-strain constellations. Workers in the lower-strain constellation experience increased job satisfaction and decreased emotional exhaustion, work-family conflict and psychological distress over 18 months. In comparison, workers in high-strain job constellations fare worse on these outcomes, as do those in the active constellation. Industrial contexts matter, however: Compared with long-term care workers, IT workers' well-being is more at risk when working in the “high strain/long hours” constellation. As the labor market continues to experience structural changes, scholars and policy makers need to attend to redesigning the ecological contexts of work conditions to promote workers' well-being while taking into account industrial differences.

We draw on panel data from a randomized field experiment to assess the effects of a flexibility/supervisor support initiative called STAR on turnover intentions and voluntary turnover among professional technical workers in a large firm. An unanticipated exogenous shock—the announcement of an impending merger—occurred in the middle of data collection. Both organizational changes reflect an emerging employment contract characterized by increasing employee temporal flexibility even as employers wield greater flexibility in reorganizing their workforces. We theorized STAR would reduce turnover intentions and actual turnover by making it more attractive to stay with the current employer. We found being in a STAR team (versus a usual practice team) lowered turnover intentions 12 months later and reduced the risk of voluntary turnover over almost three years. We also examined potential mechanisms accounting for the effects of these two organizational changes; STAR effects on reducing turnover intentions are partially mediated by reducing work-to-family conflict, family-to-work conflict, burnout, psychological distress, perceived stress, and increasing job satisfaction. The effect of learning about the merger on increasing turnover intentions is fully mediated by increased job insecurity. STAR also moderates the negative effects of learning about the merger on turnover intentions for different subgroups. Findings provide insights into the effectiveness of an organizational intervention, the dynamics of organizations, and how competing logics of two organizational changes affect employees’ labor market expectations and behavior.

There are extensive literatures on work conditions and health and on family contexts and health, but less research asking how a spouse or partners' work conditions may affect health behaviors. Drawing on the constrained choices framework, we theorized health behaviors as a product of one's own time and spouses' work time as well as gender expectations. We examined fast food consumption and exercise behaviors using survey data from 429 employees in an Information Technology (IT) division of a U.S. Fortune 500 firm and from their spouses. We found fast food consumption is affected by men's work hours-both male employees' own work hours and the hours worked by husbands of women respondents-in a nonlinear way. The groups most likely to eat fast food are men working 50 h/week and women whose husbands work 45-50 h/week. Second, exercise is better explained if work time is conceptualized at the couple, rather than individual, level. In particular, neo-traditional arrangements (where husbands work longer than their wives) constrain women's ability to engage in exercise but increase odds of men exercising. Women in couples where both partners are working long hours have the highest odds of exercise. In addition, women working long hours with high schedule control are more apt to exercise and men working long hours whose wives have high schedule flexibility are as well. Our findings suggest different health behaviors may have distinct antecedents but gendered work-family expectations shape time allocations in ways that promote men's and constrain women's health behaviors. They also suggest the need to expand the constrained choices framework to recognize that long hours may encourage exercise if both partners are looking to sustain long work hours and that work resources, specifically schedule control, of one partner may expand the choices of the other.

Most existing research theorizes individual factors as predictors of perceived job insecurity. Incorporating contextual and organizational factors at an information technology organization where a merger was announced during data collection, we draw on status expectations and crossover theories to investigate whether managers' characteristics and insecurity shape their employees' job insecurity. We find having an Asian as opposed to a White manager is associated with lower job insecurity, whereas managers' own insecurity positively predicts employees' insecurity. Also contingent on the organizational climate, managers' own tenure buffers, and managers' perceived job insecurity magnifies insecurity of employees interviewed after a merger announcement, further specifying status expectations theory by considering context.

Schedule control and supervisor support for family and personal life may help employees manage the work-family interface. Existing data and research designs, however, have made it difficult to conclusively identify the effects of these work resources. This analysis utilizes a group-randomized trial in which some units in an information technology workplace were randomly assigned to participate in an initiative, called STAR, that targeted work practices, interactions, and expectations by (1) training supervisors on the value of demonstrating support for employees’ personal lives and (2) prompting employees to reconsider when and where they work. We find statistically significant, although modest, improvements in employees’ work-family conflict and family time adequacy, and larger changes in schedule control and supervisor support for family and personal life. We find no evidence that this intervention increased work hours or perceived job demands, as might have happened with increased permeability of work across time and space. Subgroup analyses suggest the intervention brought greater benefits to employees more vulnerable to work-family conflict. This study uses a rigorous design to investigate deliberate organizational changes and their effects on work resources and the work-family interface, advancing our understanding of the impact of social structures on individual lives.

Drawing on two waves of survey data conducted six months apart in 2006, this study examined the impacts of a team-level flexibility initiative (ROWE--results only work environment) on changes in the work-home spillover and health behavior of employees at the Midwest headquarters of a large U.S. corporation. Using cluster analysis, we identified three distinct baseline spillover constellations: employees with high negative spillover, high positive spillover, and low overall spillover. Within-team spillover measures were highly intercorrelated, suggesting that work teams as well as individuals have identifiable patterns of spillover. Multilevel analyses showed ROWE reduced individual- and team-level negative work-home spillover but not positive work-home spillover or spillover from home-to-work. ROWE also promoted employees' health behaviors: increasing the odds of quitting smoking, decreasing smoking frequency, and promoting perceptions of adequate time for healthy meals. Trends suggest that ROWE also decreased the odds of excessive drinking and improved sleep adequacy and exercise frequency. Some health behavior effects were mediated via reduced individual-level negative work-home spillover (exercise frequency, adequate time for sleep) and reduced team-level negative work-home spillover (smoking frequency, exercise frequency, and adequate time for sleep). While we found no moderating effects of gender, ROWE especially improved the exercise frequency of singles and reduced the smoking frequency of employees with low overall spillover at baseline.