Reshaping Society through Analytics, Collaboration, and Decision Support : Role of Business Intelligence and Social Media
By: Iyer, Lakshmi S.
Contributor(s): Power, Daniel J.Material type: TextSeries: eBooks on Demand.Annals of Information Systems: Publisher: Cham : Springer International Publishing, 2014Description: 1 online resource (270 p.).ISBN: 9783319115757.Subject(s): Business intelligenceGenre/Form: Electronic books.Additional physical formats: Print version:: Reshaping Society through Analytics, Collaboration, and Decision Support : Role of Business Intelligence and Social MediaDDC classification: 650 LOC classification: HD38.7 -- .R47 2015ebOnline resources: Click here to view this ebook.
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|Electronic Book||UT Tyler Online Online||HD38.7 -- .R47 2015eb (Browse shelf)||http://uttyler.eblib.com/patron/FullRecord.aspx?p=1968112||Available||EBL1968112|
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|HD38.7 -- .F733 2014eb The Analytics Revolution :||HD38.7 -- .G455 2016 Insider Threat :||HD38.7 -- .L433 2014 Competitive Intelligence and the Sales Force :||HD38.7 -- .R47 2015eb Reshaping Society through Analytics, Collaboration, and Decision Support :||HD38.7 -- .S872 2011 Business Intelligence :||HD38.7 -- .V4713 2009eb Information Warfare.||HD38.7 | TK6570.M6 Business Intelligence and Mobile Technology Research :|
Contents; About the Editors; Chapter 1: Introduction; 1.1 About AIS SIG DSA; Chapter 2: Big Data Panel at SIGDSS Pre-ICIS Conference 2013: A Swiss-Army Knife? The Profile of a Data Scientist; References; Chapter 3: Creating a Data-Driven Global Society; 3.1 Introduction; 3.2 Data Expansion and Decision Support; 3.3 Looking at Today; 3.4 Looking Forward; 3.5 Conclusions and Commentary; References; Chapter 4: Agile Supply Chain Decision Support System; 4.1 Introduction; 4.2 Literature Review; 4.2.1 Supplier Selection for Agile SCM Via fuzzy MCDM; 4.2.2 Fuzzy AHP; 4.2.3 Fuzzy TOPSIS
4.3 Framework of the Proposed Agile Supply Chain DSS4.3.1 Identification of Evaluation Criteria and Decision Hierarchy; 4.3.2 Identification of Evaluation Criteria Weights; 4.3.3 Supplier Identification, Evaluation, and Selection; 4.4 Assessing Business Impact of Agile Supply Chain DSS; 4.4.1 Simple Supply Chain Configuration; 4.4.2 Bullwhip Effect with Autocorrelation Coefficient and Desired Service Level; 4.4.3 The Pareto Fronts with Various Weights of Agility Criterion; 4.4.4 The Pareto Fronts with Various Weights of Agility Sub-Criteria; 4.5 Conclusion; References
Chapter 5: Hawkes Point Processes for Social Media Analytics5.1 Introduction; 5.2 Point Processes; 5.3 Hawkes Point Processes; 5.4 Hawkes Process Modeling Applications; 5.4.1 Finance; 5.4.2 Healthcare and Bioinformatics; 5.4.3 Sociology, Criminology and Terrorism; 5.4.4 Social Network Analysis; 5.5 Hawkes Process Applications in Social Media; 5.6 Conclusion; References; Chapter 6: Using Academic Analytics to Predict Dropout Risk in E-Learning Courses; 6.1 Introduction; 6.2 Literature Review; 6.2.1 Factors Affecting Student Retention and Dropout
6.2.2 Data Analysis and Mining Techniques in Dropout Prediction6.3 Research Approach; 6.3.1 Constructs and Variables; 6.3.2 Evaluation Criteria; 6.4 Data Analysis and Predictive Modeling; 6.4.1 SIS Data Analysis; 6.4.2 CMS Data Analysis; 6.4.3 Computation of Dynamic Risk Scores; 6.4.4 Evaluation of the Risk Scoring Model; 6.4.5 Comparison of Pre-census and Post-census Dropout Accuracy; 6.4.6 Recommendation for Deployment of Predictive Models; 6.4.7 Recommender System Architecture; 6.5 Conclusion; References
Chapter 7: Membership Reconfiguration in Knowledge Sharing Network: A Simulation Study7.1 Introduction; 7.2 Literature Review; 7.2.1 Social Behavior Theories, Collaboration Climates, and Knowledge Sharing; 7.2.2 Knowledge Sharing Bottlenecks and BIS Metric; 7.3 Framework of the Proposed KMS; 7.3.1 Rearrangement Propositions of CoP Members; 7.3.2 Knowledge Sharing Data Sets; 7.3.3 Simulation Experiments Setups; 7.4 Experimental Results: BIS Improvement and Network Structure; 7.4.1 Comparison of BIS Improvements and CoP Types Distribution; 7.4.2 Improvement of Collaboration Network Structures
This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decisio
Description based upon print version of record.