Information Systems

By Richard Thomas Watson. 2009

939 citations recorded by the source corpus.

Introductory information systems textbooks often present the topic in somewhat of a vacuum. That is, they focus on information systems without really succeeding in showing how IS is integrated in organizations, how knowledge workers are supported, and how important IS is for an organizations success. Many undergraduate students do not understand why they are required to take an IS course since they are not IS majors. Many also expect the introductory course to focus on personal productivity software. This textbook will teach students how to exploit IS in a technology-rich environment. It will emphasize why, no matter what their major, information and communications technologies (ICT) are, and increasingly will be, a critical element in their personal success and the success of their organizations. In other words, they need to be introduced to concepts, principles, methods, and procedures that will be valuable to them for years to come in thinking about existing organization systems, proposing new systems, and working with IS professionals in implementing new systems.

Subfields: Management Information Systems

View Paper: https://www.semanticscholar.org/paper/9b55d310af5a2d3051f62f64867cffc2d6d8839b

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In Management Information Systems

1. Zhuming Bi
2. Chengen Wang
3. C. Richards
4. Hao Zhu
5. Carlo Zaniolo
6. Maosong Sun
7. Muhao Chen
8. Ruobing Xie

Citations in the corpus

• Iterative Entity Alignment via Joint Knowledge Embeddings (2017, methodology): “These conventional methods usually involve collaborative efforts [Vrandečić and Krötzsch, 2014] or focus on certain well-structured schemas or ontologies such as infobox in Wikipedia [Rinser et al., 2013].”
• Availability of Genotypic Data for USDA-ARS National Plant Germplasm System Accessions Using the Genetic Resources Information Network (GRIN) Database (2008, methodology): “Critical information, including passport data and phenotypic characteristics about these plant materials, is available through the Genetic Resources Information Network (GRIN) database (Mowder and Stoner, 1988; Perry et al., 1988; USDA, ARS, National Genetic Resources Laboratory, 2008).”
• Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment (2016, methodology): “It produces a classifier that helps with verifying candidates of triple matching [Nguyen et al. , 2011; Rinser et al. , 2013].”
• Internet of Things for Enterprise Systems of Modern Manufacturing (2014, methodology): “For example, Neal [65] provided a roadmap of IT to describe the evolution of information system from manual operation of the databases based on service-orientated architecture.”
• Time-series clustering - A decade review (2015, background): “Aghabozorgi et al .”
• E-learning success determinants: Brazilian empirical study (2017, neutral): “Information quality can also have a direct impact on individual performance (DeLone & McLean, 2002).”