The Status of End-User Computing Support: An Exploratory Study

Abstract

End-User Computing (EUC) influences user productivity, information systems backlogs and user satisfaction. An exploratory study of 192 Midwest end-users was undertaken to investigate support services and end-user types superimposed on support sources. The results of this integrated review offer a richer understanding of end-user dynamics. Data collection occurred through a three-part questionnaire. End-user types were categorized using the Cotterman and Kumar (1989) classification scheme. Support categories were assessed using the Mirani and King (1994) instrument. The Govindarajulu and Reithel (1998) assessment instrument evaluated support services within information centers for local MIS staff and informal assistance. Results are presented from instrument validation procedures and descriptive data analysis that permit conclusions about EUC dynamics. Instrument validation was conducted using standard measures of internal consistency reliability and factor analysis, Cronbach's alpha and a Principle Components Factor Analysis (PCFA), to facilitate factor loading. Descriptive data analysis employed conventional frequency distributions, scatterplots, descriptive data statistics, and other graphical data displays.

Evaluation of challenges for adoption of smart healthcare strategies

“…After reviewing relevant literature, three main smart healthcare adoption challenges were mapped into technology-organisationenvironment (TOE) framework which is described in Tornatzky and Fleischer (1990), process of technological innovation. The TOE framework has been used in multiple studies with significant degree of reliability and predictability of adoption (Govindarajulu & Lippert, 2002;Racherla & Hu, 2008;and Lian et al, 2014). TOE is free from restrictions on business and organisation's size (Chen, Phan, & Reutens, 2010).…”