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Leader distance theory has received scant empirical attention in the extant literature; however, the "work from home" orders associated with COVID-19 have made this theory and its empirical findings highly relevant for organizations. Our study integrates leader distance theory and followership theory to understand how follower role beliefs affect follower effort, performance, and withdrawal under physical leader distance and varying conditions of leader interaction frequency. Using a three-wave survey methodology with 260 adults working remotely, our study finds that followers' levels of effort, performance, and withdrawal were contingent on leader interaction frequency. Specifically, followers with a coproduction role orientation, who see their role as more collaborative, reported higher levels of effort under conditions of high leader interaction. Furthermore, the indirect effect of coproduction on follower performance and withdrawal via effort was moderated by leader interaction frequency. The results for followers with passive role orientations, however, were in the opposite direction. These followers reported less effort when leader interaction was high, and the mediational chain predicting performance and withdrawal was contingent on leader interaction frequency. Our

Purpose – Employees working nonstandard schedules outside the daytime hours of the Monday-Friday work week are increasing. Using Social Exchange Theory (SET), the purpose of this paper is to hypothesize relationships between scheduling preferences, attitudes, and retention indicators. Design/methodology/approach – Survey data were collected from 343 US Postal Service mail processors (day, evening, or night shift; all shifts working weekends) from three cities. Multivariate analysis of covariance and multiple linear regression were used to test hypotheses related to participants’ perceptions of scheduling preferences and attitudes. Findings – The authors found that preferences and attitudes toward shift worked had stronger relationships with each other and employee retention indicators for the night and evening shifts than the day shift, and these same relationships were stronger for the day shift when focussing on days of the week worked. Research limitations/implications – Although limited by generalizability concerns, this study provides a distinctive application of SET to work schedules and offers a unique perspective on how working nonstandard days and nonstandard times, individually, impact the employment relationship. Practical implications – Better work schedule management, with increased flexibility and control, may be one way of reducing negative employee reactions to nonstandard schedules. Originality/value – This study goes beyond the typical examinations of standard vs nonstandard shifts, to study multiple nonstandard shifts and examines the relationships of these schedules on employee retention variables, focussing on both shift and weekend work.

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