"Improving the perceived high workload of employees in consumer segment" by Maria Angelica Malubay

Date of Publication

2023

Document Type

Master's Thesis

Degree Name

Master of Business Administration

Subject Categories

Performance Management

College

Ramon V. Del Rosario College of Business

Department/Unit

Management and Organization Department

Thesis Advisor

Dr. Rachel A. Quero

Defense Panel Chair

Maria Adiel Aguiling

Defense Panel Member

Ma. Mercedes Tan
Denver Daradar

Abstract/Summary

This action research intended to address the issue of perceived high workload of employees under the Consumer Segments Department of a Trust Company. Our department has been experiencing high volumes of workload which causes work stress and blurring of work-life balance on most employees. Poor time and workload management skills are the major factors causing our current problem. In Cycle 1 of the action research, our intervention was to establish workload/task management initiative within our team by using the Kanban Board approach. We conducted a post-assessment survey which showed some favorable results. In Cycle 2 of this action research, we improved the workload management by classifying priority tasks through applying the Eisenhower Matrix in the Kanban Board. We conducted another post-assessment survey which showed that our interventions yielded much better results. We also learned that the level of self-management, social support, role ambiguity and task complexity, if guided by appropriate workload/task management tools, will help in determining the perceived workload of an employee and improve their job performance in general.

Keywords: workload management, perceived workload, Kanban Board, Eisenhower Matrix

Abstract Format

html

Language

English

Format

Electronic

Keywords

Employees—Workload

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Embargo Period

7-31-2023

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