Open Access. Powered by Scholars. Published by Universities.®
Management Information Systems Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (16)
- Physical Sciences and Mathematics (16)
- Databases and Information Systems (14)
- Accounting (3)
- Human Resources Management (3)
-
- Adult and Continuing Education (2)
- Business Administration, Management, and Operations (2)
- Business Analytics (2)
- Business Law, Public Responsibility, and Ethics (2)
- Business and Corporate Communications (2)
- Corporate Finance (2)
- Curriculum and Instruction (2)
- Education (2)
- Educational Assessment, Evaluation, and Research (2)
- Educational Leadership (2)
- Educational Methods (2)
- Entrepreneurial and Small Business Operations (2)
- Finance and Financial Management (2)
- Higher Education (2)
- Insurance (2)
- International Business (2)
- Leadership (2)
- Marketing (2)
- Nonprofit Administration and Management (2)
- Online and Distance Education (2)
- Organizational Behavior and Theory (2)
- Scholarship of Teaching and Learning (2)
- Secondary Education (2)
- Institution
- Keyword
-
- MIS (4)
- Management information systems (3)
- Algorithms (2)
- Computer (2)
- Computer literacy (2)
-
- Computing (2)
- Evolution (2)
- Expert systems (Computer science) (2)
- Flexible manufacturing systems (2)
- Image processing -- Digital techniques (2)
- Information (2)
- Information management (2)
- Neural networks (Computer science) (2)
- SIEC Historical Documents (2)
- Systems engineering (2)
- 88th Medical Group (1)
- Accurate sales data (1)
- Associative storage (1)
- Audit selection rules (1)
- Auditing (1)
- Brainmaker (1)
- By-products (1)
- C++ Object-oriented System Made for expert system development (1)
- Co-production (1)
- Computer integrated manufacturing systems (1)
- Computer integrated manufacturing systems -- Design and construction (1)
- Computer network architectures (1)
- Computer network protocols (1)
- Computer-aided engineering (1)
- Computer-aided software engineering (1)
- Publication
- Publication Type
Articles 31 - 37 of 37
Full-Text Articles in Management Information Systems
Perceptions Of Information Systems Structures' Impact On Mis Success And Effectiveness, Ephrem Eyob
Perceptions Of Information Systems Structures' Impact On Mis Success And Effectiveness, Ephrem Eyob
Journal of International Information Management
This article provides results from a study on the perceptions of information systems structures' impact on implementation of MIS success and effectiveness via organizational context variables. The focus is on the use of MIS effectiveness and success variables that are utilized in MIS research. Several hypotheses were tested to discern impact of information systems structures on MIS effectiveness and success. The results show that several of these organizational context variables are associated to various degrees, depending on the MIS structure, with MIS success and effectiveness.
The Blossoming Of Data Communications And The Thorns Of Computer Crimes: An Analysis Of The Use And Abuse Of Network Computing, Michael T. Tang
The Blossoming Of Data Communications And The Thorns Of Computer Crimes: An Analysis Of The Use And Abuse Of Network Computing, Michael T. Tang
Journal of International Information Management
No abstract provided.
Wordperfect 5.1 For Windows, James D. Brodzinski, Elaine A. Crable
Wordperfect 5.1 For Windows, James D. Brodzinski, Elaine A. Crable
Journal of International Information Management
WordPerfect 5.1 for Windows WordPerfect Corporation 1555 N. Technology Way Orem, Utah 84057
The Moderating Influence Of User Characteristics On The Relationship Between User Involvement And Perceived Usefulness Of Information Systems, Bo K. Wong, John K. S. Chong
The Moderating Influence Of User Characteristics On The Relationship Between User Involvement And Perceived Usefulness Of Information Systems, Bo K. Wong, John K. S. Chong
Journal of International Information Management
This study examines the moderating effect of user characteristics on the relationship between user involvement and perceived usefulness of ISs. Thirty-two organi2:ations with 127 users have participated in this study. Results indicate that among user characteristics, feelings about the existence of procedures to handle conflicts between users and the IS staff, years with the company, and years of IS experience produce moderating effects in the planning and design stage, or in the implementation stage of IS development.
Brainmaker V2.3, James D. Brodzinski, Elaine A. Crable
Brainmaker V2.3, James D. Brodzinski, Elaine A. Crable
Journal of International Information Management
BRAINMAKER v2.3 California Scientific Software 10141 Evening Star Drive No. 6 Grass Valley, CA 95945
The Future Of Management And Computer Technology, Afsaneh Fanaeian Nour, Brian H. Kleiner
The Future Of Management And Computer Technology, Afsaneh Fanaeian Nour, Brian H. Kleiner
Journal of International Information Management
The impact of computers in organizational management has been the subject of much literature. As such, one can note distinct variations as to impact on different levels of today's management. A linear relation between the future of organizational management and advanced computer technology has been detailed. Parameters such as the human factor, integrated systems or networking, future computer aided manufacturing, and fifth generation com.puters were the key issues on revolutionizing this same management. It is predicted that human like robots and thinking machines slowly will eliminate management, wherein organizational structures will be redesigned to suit this revolution.
Learn Audit Selection Rules From Data: A Genetic Algorithms Approach, David P. Greene, Rayman D. Meservy, Stephen F. Smith
Learn Audit Selection Rules From Data: A Genetic Algorithms Approach, David P. Greene, Rayman D. Meservy, Stephen F. Smith
Faculty Publications
The construction of expert systems typically require the availability of expertise that can be modeled. However, there are many important problems where no expertise exists, yet there is a wealth of data indicating results in different situations. Machine learning algorithms attempt to discover rules which capture the regularities that exists in such data.