Key Determinants of Support Services Demand in Instructional Technology Management

摘要

This paper investigates the key determinants of the demand for instructional technology support services. To provide insight to the technology managers for better resource planning, we first study key categories of technology support services to predict the frequency of service demand. To this end, we apply an autocorrelated error corrected time-series regression model of support services demand on the various support services. Our research results show the existence of key determinants positively impacting the support services' demand. Results from this research also confirm that service demand foronsite support service is time dependent and as expected exhibit seasonality. These results match the scheduling dynamics ofan academic calendar and illustrate how policymakers can use key determinants of demand to focus attention to high-demandand high-frequency service categories. Understanding the analytics of these key determinants prove advantageous when identifying new best practices for technology managers preparing a policy design to establish efficient technology operations.