We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,...
Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic...
Effective in eight jurisdictions and banned in four, Fair Workweek Laws (FWL) aim to increase the predictability and stability of work schedules. Among other requirements, these laws penalize employers for unilaterally adjusting work schedules without providing some...
Problem Definition: Employee lateness and absenteeism pose challenges for businesses, particularly in the retail industry, where punctuality is vital for optimal store operations and customer service. This paper relates employee lateness and absenteeism with...
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and...
We empirically analyze the effects of employee lateness and absenteeism on store performance by examining 25.5 million employee shift timecards covering more than 100,000 employees across more than 500 U.S. retail grocery store locations over a four year time period....