Big Data & Analytics for Societal Impact: Recent Research and Trends

[1]  Jong Hyuk Park,et al.  Monitoring user activities in smart home environments , 2009, Inf. Syst. Frontiers.

[2]  Ramesh Sharda,et al.  Improving the science of healthcare delivery and informatics using modeling approaches , 2013, Decis. Support Syst..

[3]  Brian Hilton,et al.  A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies , 2018, Inf. Syst. Frontiers.

[4]  Juho Rousu,et al.  Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral Species , 2014, PLoS Comput. Biol..

[5]  Luis Gravano,et al.  Using Online Reviews by Restaurant Patrons to Identify Unreported Cases of Foodborne Illness — New York City, 2012–2013 , 2014, MMWR. Morbidity and mortality weekly report.

[6]  Karen Corral,et al.  Enabling self-service BI: A methodology and a case study for a model management warehouse , 2018, Inf. Syst. Frontiers.

[7]  Arnold Picot,et al.  Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda , 2015, J. Strateg. Inf. Syst..

[8]  Prem Timsina,et al.  A comparative analysis of semi-supervised learning: The case of article selection for medical systematic reviews , 2016, Information Systems Frontiers.

[9]  Alfred C. Weaver,et al.  Applications of Social Networks and Crowdsourcing for Disaster Management Improvement , 2016, Computer.

[10]  Ramesh Sharda,et al.  Analysis of a Sequence of Events in Healthcare , 2017 .

[11]  Vicente Julián,et al.  Designing a goal-oriented smart-home environment , 2016, Information Systems Frontiers.

[12]  Asil Oztekin,et al.  Information fusion-based meta-classification predictive modeling for ETF performance , 2018, Inf. Syst. Frontiers.

[13]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[14]  Barbara Wixom,et al.  Maximizing Value from Business Analytics , 2013, MIS Q. Executive.

[15]  Bart Baesens,et al.  Call for Papers MISQ Special Issue on Transformational Issues of Big Data and Analytics in Networked Business , 2014 .

[16]  Michael Fitzgerald.  When health care gets a healthy dose of data , 2015 .

[17]  Mithra Vankipuram,et al.  Collaborative virtual reality based advanced cardiac life support training simulator using virtual reality principles , 2014, J. Biomed. Informatics.

[18]  Ozgur Turetken,et al.  Location analytics and decision support: Reflections on recent advancements, a research framework, and the path ahead , 2017, Decis. Support Syst..

[19]  Kun Hu,et al.  A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges , 2014, PLoS Comput. Biol..

[20]  Pompeu Casanovas,et al.  Crowdsourcing roles, methods and tools for data-intensive disaster management , 2018, Inf. Syst. Frontiers.

[21]  Roger H. L. Chiang,et al.  Big Data Research in Information Systems: Toward an Inclusive Research Agenda , 2016, J. Assoc. Inf. Syst..

[22]  Victor R. Prybutok,et al.  Latent Semantic Analysis: five methodological recommendations , 2012, Eur. J. Inf. Syst..

[23]  Eric D. Ebel,et al.  Comparing Characteristics of Sporadic and Outbreak-Associated Foodborne Illnesses, United States, 2004–2011 , 2016, Emerging infectious diseases.

[24]  Rana Tassabehji,et al.  The impact of big data analytics on firms’ high value business performance , 2016, Information Systems Frontiers.

[25]  Michael Hertel,et al.  Investments in information systems: A contribution towards sustainability , 2013, Inf. Syst. Frontiers.

[26]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[27]  Derek Doran,et al.  Keep the conversations going: engagement-based customer segmentation on online social service platforms , 2016, Information Systems Frontiers.

[28]  Starr Roxanne Hiltz,et al.  Introduction: Social media and collaborative systems for crisis management , 2011, TCHI.

[29]  Ramesh Sharda,et al.  Should I send this message? Understanding the impact of interruptions, social hierarchy and perceived task complexity on user performance and perceived workload , 2013, Decis. Support Syst..

[30]  Chulmo Koo,et al.  Green practices-IS alignment and environmental performance: The mediating effects of coordination , 2013, Inf. Syst. Frontiers.

[31]  Amit V. Deokar,et al.  Detecting Fraudulent Behavior on Crowdfunding Platforms: The Role of Linguistic and Content-Based Cues in Static and Dynamic Contexts , 2016, J. Manag. Inf. Syst..

[32]  Lida Xu,et al.  An integrated information system for snowmelt flood early-warning based on internet of things , 2013, Information Systems Frontiers.

[33]  Gary B Wilkerson,et al.  Mitigating Sports Injury Risks Using Internet of Things and Analytics Approaches , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[34]  Lakshmi S. Iyer,et al.  Business Analytics and Organizational Value Chains: A Relational Mapping , 2018, J. Comput. Inf. Syst..

[35]  William Yeoh,et al.  Critical Success Factors for Business Intelligence Systems , 2010, J. Comput. Inf. Syst..

[36]  Carmen C. Y. Poon,et al.  Big Data for Health , 2015, IEEE Journal of Biomedical and Health Informatics.

[37]  Jyothsna Giri,et al.  The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: A pilot step-wedge cluster randomized trial , 2015, Int. J. Medical Informatics.

[38]  Weiguo Fan,et al.  Project description and crowdfunding success: an exploratory study , 2018, Inf. Syst. Frontiers.

[39]  Huiji Gao,et al.  Harnessing the Crowdsourcing Power of Social Media for Disaster Relief , 2011, IEEE Intelligent Systems.

[40]  Atreyi Kankanhalli,et al.  Big data and analytics in healthcare: Introduction to the special section , 2016, Inf. Syst. Frontiers.

[41]  Ashish Gupta,et al.  Using Deep Learning for Pulmonary Nodule Detection & Diagnosis , 2016, AMCIS.

[42]  Sally C. Brailsford,et al.  A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making , 2015 .

[43]  Gary B Wilkerson,et al.  Utilization of Practice Session Average Inertial Load to Quantify College Football Injury Risk , 2016, Journal of strength and conditioning research.

[44]  Guang-Zhong Yang,et al.  Deep Learning for Health Informatics , 2017, IEEE Journal of Biomedical and Health Informatics.

[45]  Carol L. Stimmel,et al.  Big Data Analytics Strategies for the Smart Grid , 2014 .

[46]  Ponnurangam Kumaraguru,et al.  TweetCred: Real-Time Credibility Assessment of Content on Twitter , 2014, SocInfo.

[47]  Kemberlee Bonnet,et al.  Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis , 2011, Journal of medical Internet research.

[48]  Thomas Ludwig,et al.  Social Haystack , 2015, ACM Trans. Comput. Hum. Interact..

[49]  Richard A Forshee,et al.  A stock‐and‐flow simulation model of the US blood supply , 2014, Transfusion.

[50]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.