Ebook: Reshaping Society through Analytics, Collaboration, and Decision Support: Role of Business Intelligence and Social Media
- Tags: IT in Business, Information Systems Applications (incl. Internet), Operation Research/Decision Theory
- Series: Annals of Information Systems 18
- Year: 2015
- Publisher: Springer International Publishing
- Edition: 1
- Language: English
- pdf
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 decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains.
Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The "Wisdom of Crowds" or "Big Data" become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations.
The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions.
Chapter 1: Introduction Lakshmi Iyer and Daniel J. Power
Chapter 2: Big Data panel at SIGDSS Pre-ICIS Conference 2013 A Swiss-Army Knife? The Profile of a Data Scientist Barbara Dinter and David Douglas
Chapter 3: Creating a Data-Driven Global Society Daniel J. Power
Chapter 4: Agile Supply Chain Decision Support System Jaehun Lee, Hyunbo Cho, and Yong Seog Kim
Chapter 5: Hawkes Point Processes for Social Media Analytics Amir Hassan Zadeh and Ramesh Sharda
Chapter 6: Using Academic Analytics To Predict Dropout Risk In E-learning Courses Rajeev Bukralia, Amit V. Deokar, and Surendra Sarnikar
Chapter 7: Membership Reconfiguration in Knowledge Sharing Network: A Simulation Study Suchul Lee, Yong Seog Kim, and Euiho Suh
Chapter 8: On the Role of Ontologies in Information Extraction Sagnika Sen, Jie Tao, and Amit V. Deokar
Chapter 9: A Quantitative Approach to Identify Synergistic IT Portfolios Ken Pinaire and Surendra Sarnikar
Chapter 10: Introduction to Research in Progress Thilini Ariyachandra and Amit Deokar
Chapter 11: Towards Attentive In-Store Recommender Systems: Detecting Exploratory vs. Goal-oriented Decisions Jella Pfeiffer, Thies Pfeiffer, and Martin Meißner
Chapter 12: Engaging with Online Crowd: A Flow Theory Approach Cuong Nguyen, Onook Oh, Abdulrahman Alothaim, Triparna de Vreede, and Gert Jan de Vreede
Chapter 13: Modeling Dynamic Organizational Network Structure Seokwoo Song and Seong-Hoon Choi
Chapter 14: Teaching Analytics, Decision Support, and Business Intelligence: Challenges and Trends Babita Gupta and Uzma Raja
Chapter 15: Data Analysis of Retailer Orders to Improve Order Distribution Michelle LF Cheong and Murphy Choy
Chapter 16: An Online Graduate Certificate Credential Program at the University of Arkansas Timothy Paul Cronan, David E. Douglas and Jeff Mullins
Chapter 17: Business Intelligence at Bharti Airtel Ltd Prabin Kumar Panigrahi