Leveraging Scheduling Technologies to Meet the Demands of COVID-19
COVID-19 has greatly impacted healthcare staffing. Learn how UKG for Healthcare Solutions align staffing with census, workload and employee skills.
Meeting the Needs of Value-Based Care Through Staffing Based on Workload
To achieve value-based care, the healthcare industry must invest in technology that streamlines care delivery while making the patient its central focus.
Improving Workforce Performance Through Digital Transformation
White paper explores how digital transformation leverages technology to provide more timely information access for faster and more insightful decision making.
New Predictive Scheduling Laws Impact the Food Service Industry
Explore how predictive scheduling laws are creating new challenges and what food service companies can do to minimize compliance risk.
The Great Overtime Dilemma
States and localities need overtime to complete essential work. Learn how public sector agencies are employing practices to better manage overtime.
Effectively Scheduling Your Retail Workforce
Using modern scheduling technology helps retailers provide the benefits that retail employees want: schedule flexibility and predictable schedules.
Unions and Manufacturing: A Team Effort
Manufacturers and unions can collaborate to improve compliance with labor agreements, ease the transition to new technologies, and create goodwill with the workforce.
Managing Labor in a Union Environment: Butte County Automates Timekeeping
Using multiple timekeeping systems creates issues. Learn how Butte County leverages an automated solution for better timekeeping accountability and pay accuracy.
Scheduling Your Manufacturing Workforce
Effective labor scheduling is critical in manufacturing. Learn how new scheduling technology can align labor to meet your changing manufacturing needs.
Recruiting, Hiring, and Retaining Seasonal Retail Staff
Retailers face many unknowns this holiday season. Learn strategies to recruit, hire, and retain top seasonal talent — even in uncertain times.