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

Author

Listed:
  • Ashish Gupta

    (Auburn University)

  • Amit Deokar

    (University of Massachusetts Lowell)

  • Lakshmi Iyer

    (Appalachian State University)

  • Ramesh Sharda

    (Oklahoma State University)

  • Dave Schrader

    (Teradata University Network)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:2:d:10.1007_s10796-018-9846-7
    DOI: 10.1007/s10796-018-9846-7
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    1. Jun Liu & Prem Timsina & Omar El-Gayar, 0. "A comparative analysis of semi-supervised learning: The case of article selection for medical systematic reviews," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    2. Mi (Jamie) Zhou & Baozhou Lu & Weiguo (Patrick) Fan & G. Alan Wang, 2018. "Project description and crowdfunding success: an exploratory study," Information Systems Frontiers, Springer, vol. 20(2), pages 259-274, April.
    3. Michael Hertel & Julia Wiesent, 2013. "Investments in information systems: A contribution towards sustainability," Information Systems Frontiers, Springer, vol. 15(5), pages 815-829, November.
    4. Sung Yul Ryoo & Chulmo Koo, 2013. "Green practices-IS alignment and environmental performance: The mediating effects of coordination," Information Systems Frontiers, Springer, vol. 15(5), pages 799-814, November.
    5. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 2018. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 20(2), pages 275-288, April.
    6. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 0. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    7. Nripesh Trivedi & Daniel Adomako Asamoah & Derek Doran, 0. "Keep the conversations going: engagement-based customer segmentation on online social service platforms," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    8. James Kaufman & Justin Lessler & April Harry & Stefan Edlund & Kun Hu & Judith Douglas & Christian Thoens & Bernd Appel & Annemarie Käsbohrer & Matthias Filter, 2014. "A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges," PLOS Computational Biology, Public Library of Science, vol. 10(7), pages 1-10, July.
    9. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith, 2015. "A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7191-7212, December.
    10. Nripesh Trivedi & Daniel Adomako Asamoah & Derek Doran, 2018. "Keep the conversations going: engagement-based customer segmentation on online social service platforms," Information Systems Frontiers, Springer, vol. 20(2), pages 239-257, April.
    11. Sajid Hussain & Senol Zafer Erdogan & Jong Hyuk Park, 2009. "Monitoring user activities in smart home environments," Information Systems Frontiers, Springer, vol. 11(5), pages 537-537, November.
    12. Asil Oztekin, 0. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    13. Sajid Hussain & Senol Zafer Erdogen & Jong Hyuk Park, 2009. "Monitoring user activities in smart home environments," Information Systems Frontiers, Springer, vol. 11(5), pages 539-549, November.
    14. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    15. Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 2018. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 20(2), pages 289-302, April.
    16. Jun Liu & Prem Timsina & Omar El-Gayar, 2018. "A comparative analysis of semi-supervised learning: The case of article selection for medical systematic reviews," Information Systems Frontiers, Springer, vol. 20(2), pages 195-207, April.
    17. Marta Poblet & Esteban García-Cuesta & Pompeu Casanovas, 0. "Crowdsourcing roles, methods and tools for data-intensive disaster management," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    18. Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 0. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    19. Shifeng Fang & Lida Xu & Yunqiang Zhu & Yongqiang Liu & Zhihui Liu & Huan Pei & Jianwu Yan & Huifang Zhang, 2015. "An integrated information system for snowmelt flood early-warning based on internet of things," Information Systems Frontiers, Springer, vol. 17(2), pages 321-335, April.
    20. Atreyi Kankanhalli & Jungpil Hahn & Sharon Tan & Gordon Gao, 2016. "Big data and analytics in healthcare: Introduction to the special section," Information Systems Frontiers, Springer, vol. 18(2), pages 233-235, April.
    21. Asil Oztekin, 2018. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 20(2), pages 223-238, April.
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    Cited by:

    1. Francisco, Eduardo de Rezende & Kugler, José Luiz & Kang, Soong Moon & Silva, Ricardo & Whigham, Peter Alexander, 2019. "Além da tecnologia: Desafios gerenciais na era do Big Data," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
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    3. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
    4. Ghassan Beydoun & Babak Abedin & José M. Merigó & Melanie Vera, 2019. "Twenty Years of Information Systems Frontiers," Information Systems Frontiers, Springer, vol. 21(2), pages 485-494, April.
    5. Denis Dennehy & Kieran Conboy & Jennifer Ferreira & Jaganath Babu, 2023. "Sustaining Open Source Communities by Understanding the Influence of Discursive Manifestations on Sentiment," Information Systems Frontiers, Springer, vol. 25(1), pages 241-257, February.
    6. Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 2020. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 22(5), pages 1163-1178, October.
    7. Silvia Chiusano & Tania Cerquitelli & Robert Wrembel & Daniele Quercia, 2021. "Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science," Information Systems Frontiers, Springer, vol. 23(1), pages 1-7, February.
    8. Victor Chang & Carole Goble & Muthu Ramachandran & Lazarus Jegatha Deborah & Reinhold Behringer, 2021. "Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19," Information Systems Frontiers, Springer, vol. 23(6), pages 1363-1367, December.
    9. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2023. "Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users," Information Systems Frontiers, Springer, vol. 25(3), pages 1101-1123, June.
    10. Carlos Ferreira & Alessandro Merendino & Maureen Meadows, 2023. "Disruption and Legitimacy: Big Data in Society," Information Systems Frontiers, Springer, vol. 25(3), pages 1081-1100, June.
    11. Thomas Schulz & Heiko Gewald & Markus Böhm & Helmut Krcmar, 2023. "Smart Mobility: Contradictions in Value Co-Creation," Information Systems Frontiers, Springer, vol. 25(3), pages 1125-1145, June.
    12. Benjamin Clapham & Michael Siering & Peter Gomber, 2021. "Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets," Information Systems Frontiers, Springer, vol. 23(2), pages 477-494, April.
    13. Ferreira, Paula & Rocha, Ana & Araujo, Madalena & Afonso, Joao L. & Antunes, Carlos Henggeler & Lopes, Marta A.R. & Osório, Gerardo J. & Catalão, João P.S. & Lopes, João Peças, 2023. "Assessing the societal impact of smart grids: Outcomes of a collaborative research project," Technology in Society, Elsevier, vol. 72(C).
    14. Christian Kauten & Ashish Gupta & Xiao Qin & Glenn Richey, 2022. "Predicting Blood Donors Using Machine Learning Techniques," Information Systems Frontiers, Springer, vol. 24(5), pages 1547-1562, October.
    15. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.
    16. Luvai Motiwalla & Amit V. Deokar & Surendra Sarnikar & Angelika Dimoka, 2019. "Leveraging Data Analytics for Behavioral Research," Information Systems Frontiers, Springer, vol. 21(4), pages 735-742, August.
    17. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    18. Matteo Francia & Patrick Marcel & Verónika Peralta & Stefano Rizzi, 2022. "Enhancing Cubes with Models to Describe Multidimensional Data," Information Systems Frontiers, Springer, vol. 24(1), pages 31-48, February.
    19. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    20. Olivera Marjanovic & Greg Patmore & Nikola Balnave, 2023. "Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams," Information Systems Frontiers, Springer, vol. 25(4), pages 1571-1588, August.
    21. Kiljae Lee & Kyung Young Lee & Lorn Sheehan, 2020. "Hey Alexa! A Magic Spell of Social Glue?: Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony," Information Systems Frontiers, Springer, vol. 22(3), pages 563-583, June.

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