Faculty Workload Management

Adjunct faculty payroll and workload tracking and management

Adjunct payroll administration and faculty workload management is more complex and time consuming than necessary. Accessing critical payroll and workload information from multiple applications can be very time consuming and labor intensive, but it does not have to be. By utilizing Efficient Computing’s Faculty Workload Management application, you will be standardizing on a single data management system, providing all your critical payroll and workload information available on one screen. How long does it takes your organization to run and approve payroll and faculty workload reports? The Faculty Workload Management application will immediately reduce that time by 90% and provide you the confidence your reports are accurate.

EC’s Faculty Workload Management (FWM) application substantially reduces the adjunct and non-regular payroll processing time, allows for accurate forecasts of adjunct, overload and non-regular payroll budgets, and distributes the approval responsibilities to the appropriate work groups or departments. The application increases the overall efficiency and accuracy of payroll processing and faculty workload on a single data system.

Improve Control and Productivity

Faculty Workload Management application improves understanding and planning of department costs. Data is accumulated and measured based on faculty member activities and faculty productivity (cost of labor vs. output). Approval authority and responsibility resides with the designated department heads who are most qualified to authorize information. Departments may now forecast and compare this information to additional departments based on faculty and various operation costs. FWM self service options allow faculty to verify and match their skills and availability to departmental hiring needs. EC’s Faculty Workload Management provides greater management control by minimizing labor costs and uncalculated expenses.

Automatic Payroll Calculation

The Faculty Workload Management application calculates and maintains all faculty workloads and payroll, including full-time salary faculty, overload and special contracts, as well as adjunct faculty paid for real-time work completed against contracts. Non-approved faculty payroll is automatically placed on hold to eliminate errors, irrelevant follow-up costs and non-authorized payments. Changes that implicate faculty workload hours and course schedule are automatically tracked in real time, providing accurate and up-to-date information that is only paid once approval is granted. Additionally, employee payment history is tracked and maintained, accumulating non-paid hours within a roll-over bank.

Optimize Student Information and Human Resources

Human Resources and payroll departments are no longer constrained to act upon reactionary methods once a mistake in payroll has been made. The Faculty Workload Management application eliminates the errors through pre-payroll validation and approval reports, providing a complete tracking and management tool. It collects data from inbound Student and HR interfaces, identifies potential errors, generates reports, calculates payroll and management information, and sends appropriate notification to the payroll department. Data synchronization is completed in real time and reduces time to process the payroll report up to 90%, making it a critical component of any higher education administrative office.

EC Workflow Engine: Automate Authorization and Eliminate Errors

EC’s Workflow Engine is a stand-alone product that integrates with the Faculty Workload Management application and ensures payroll approvals are processed on time and error free. It schedules reminders that automatically notify you when it is necessary to complete payroll and when additional approval is required. For example, overtime or special pay requires additional authorization or management approval. The EC Workflow Engine creates rules and guidelines that manage these specific processes to streamline operations more efficiently and eliminate payroll errors.

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