Designing Information Systems focuses on the processes, methodologies, and approaches involved in designing information systems. The book first describes systems, management and control, and how to design information systems. Discussions focus on documents produced from the functional construction function, users, operators, analysts, programmers and others, process management and control, levels of management, open systems, design of management information systems, and business system description, partitioning, and leveling. The text then takes a look at functional specification and functional analysis, procedures and rules, and data modeling and data analysis. Concerns cover charting conventions and data modeling concepts, domains and domain integrity, deciding the most appropriate design solutions, and presentation of solutions to the user community. The manuscript examines implementation, user participation, aspects of human-computer interaction, project management, and system evaluation. Topics include appraisal of the simple approach, system evaluation with multiple purposes, data flows, data analysis and the data model, approaches to user involvement, and post-implementation evaluation and audit. The text is a valuable source of data for computer programmers and researchers wanting to explore how information systems are designed.
This book brings together enterprise modeling and software specification, providing a conceptual background and methodological guidelines that concern the design of enterprise information systems.
These are managerial decisions for which MIS are particularly useful, and which managers face on a daily basis. This is the first book offering practical guidance on how systems should be designed to support these decisions.
The book is organized into five parts, covering the non-technical and nonimplementational part of information systems planning, design, and development. Part I gives the theoretical base for the subsequent parts of the book.
Chapter 5, “Informational Architecture and logical Database Design,” addresses the logical specification of data models using modeling tools that are commonly used in industry. This chapter is an extension of the data modeling material ...
This unique position allows AR to produce highly relevant results while simultaneously informing theory (Baskerville 1999; Baskerville and Meyers 2004). AR views organizations as a configuration of interacting variables, some of which ...
Principles of Information Systems Analysis and Design
This book provides guidelines for practicing design science in the fields of information systems and software engineering research.
Contending that the philosophy, methodology and principles of traditional science also apply to design-type of science, the research contained within this book is important to the widespread acceptance and promotion of design-type research.
With Designing Information, Joel Katz has created what will surely be an indispensable textbook on the subject." —Michael Bierut "Having had the pleasure of a sneak preview, I can only say that this is a magnificent achievement: a ...
Learn: Learning is a very complex activity that includes gaining knowledge, understanding, obtaining skills, ... Study: Studying refers to the activities associated with learning, i.e., reading learning content, excercising, checking, ...