Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Using End User Characteristics to Facilitate Effective Management of End User Computing

View through CrossRef
The End-User Characteristics Matrix, a mapping of user characteristics onto four end-user taxonomies, provides a more detailed perspective on the end user as developer/operator of computer-based information systems. Understanding individual end users is probably the most critical element to effectively managing end-user computing in organizations. Yet many managers do not really understand the end user they are attempting to manage. The purpose of this paper is to develop a framework which will allow the manager of end users to identify and describe user characteristics which differentiate, define, and help us better understand the end user. Previous literature on end users is discussed where four end-user taxonomies were presented, categorizing end users according to one or more characteristics, along with empirical research which utilized those taxonomies. The Rockart and Flannery end-user taxonomy has been the most widely used framework since 1983. The most comprehensive taxonomy, Cotterman and Kumar’s User Cube, was used as the basis for definitions in this research. The end user located in the developer/operator plane, identified as the fastest growing category of end users, was investigated in depth. Empirical research in end-user computing was examined to identify the set of user characteristics. Researchers studying end-user computing can use the matrix as a starting point to visualize how past research taxonomies and empirical studies are interrelated. Practitioners, anxious to develop policies to manage EUC, can concentrate their efforts on certain user characteristics they observe to be problematic.
Title: Using End User Characteristics to Facilitate Effective Management of End User Computing
Description:
The End-User Characteristics Matrix, a mapping of user characteristics onto four end-user taxonomies, provides a more detailed perspective on the end user as developer/operator of computer-based information systems.
Understanding individual end users is probably the most critical element to effectively managing end-user computing in organizations.
Yet many managers do not really understand the end user they are attempting to manage.
The purpose of this paper is to develop a framework which will allow the manager of end users to identify and describe user characteristics which differentiate, define, and help us better understand the end user.
Previous literature on end users is discussed where four end-user taxonomies were presented, categorizing end users according to one or more characteristics, along with empirical research which utilized those taxonomies.
The Rockart and Flannery end-user taxonomy has been the most widely used framework since 1983.
The most comprehensive taxonomy, Cotterman and Kumar’s User Cube, was used as the basis for definitions in this research.
The end user located in the developer/operator plane, identified as the fastest growing category of end users, was investigated in depth.
Empirical research in end-user computing was examined to identify the set of user characteristics.
Researchers studying end-user computing can use the matrix as a starting point to visualize how past research taxonomies and empirical studies are interrelated.
Practitioners, anxious to develop policies to manage EUC, can concentrate their efforts on certain user characteristics they observe to be problematic.

Related Results

CLOUD COMPUTING - NAVIGATING THE DIGITAL SKY
CLOUD COMPUTING - NAVIGATING THE DIGITAL SKY
“Cloud Computing – Navigating the Digital Sky” is an extensive guide designed to provide a thorough understanding of cloud computing, an essential technology in today’s digital age...
Adoption Strategy for Cloud Computing in Kenyan Research Institutions
Adoption Strategy for Cloud Computing in Kenyan Research Institutions
Cloud computing has transformed the aspect of distributed computing from many other prevailing methods by offering more unlimited benefits, like cutting down computing costs and al...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
BACKGROUND Mental health has become one of the most urgent global health issues of the twenty-first century. The World Health Organization (WHO) reports tha...
ENGINEERING SOCIAL COMPUTING
ENGINEERING SOCIAL COMPUTING
Context. The relevance of the study is due to the need to eliminate contradictions between management and performers by introducing engineering social computing, which ensures mora...
Privacy and Security in Cloud Computing Architecture
Privacy and Security in Cloud Computing Architecture
Cloud Computing is the most advanced technical platform for next generation. Cloud Computing provide us a large range of data storage space in web source. Cloud Computing work auto...
Multi-Institutional Study on Impostor Phenomenon
Multi-Institutional Study on Impostor Phenomenon
Motivation : In computing, Impostor Phenomenon (IP) has been viewed as a problem for many years, but little research has been done to show its prevalence. In 2020, IP i...
Breaking the Boundaries using DNA Technologies to Advance Computing
Breaking the Boundaries using DNA Technologies to Advance Computing
Innovative technology known as "DNA computing" uses the chemical characteristics of DNA strands to carry out intricate calculations. DNA base pairing characteristics are taken adva...

Back to Top