Reflecting upon sensor-based data collection to improve decision making
暂无分享,去创建一个
[1] Arkady B. Zaslavsky,et al. IoT-based decision support system for monitoring and mitigating atmospheric pollution in smart cities , 2018, J. Decis. Syst..
[2] Cheri Speier-Pero,et al. Using aggregated data under time pressure: a mechanism for coping with information overload , 2019, Journal of Decision Systems.
[3] NewellSue,et al. Strategic opportunities (and challenges) of algorithmic decision-making , 2015 .
[4] Nicholas Diakopoulos,et al. Automating the News , 2019 .
[5] Marco Aiello,et al. Let's get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments , 2016, J. Biomed. Informatics.
[6] Daniel J. Power,et al. Using ‘Big Data’ for analytics and decision support , 2014, J. Decis. Syst..
[7] Erik Brynjolfsson,et al. The second machine age: work, progress, and prosperity in a time of brilliant technologies, 1st Edition , 2014 .
[8] Sue Newell,et al. Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification' , 2015, J. Strateg. Inf. Syst..
[9] H. Simon,et al. Invariants of human behavior. , 1990, Annual review of psychology.
[10] H. Simon,et al. Making Management Decisions: the Role of Intuition and Emotion , 1987 .
[11] M. Lynne Markus,et al. Datification, Organizational Strategy, and IS Research: What's the Score? , 2017, J. Strateg. Inf. Syst..
[12] M. Lynne Markus,et al. New games, new rules, new scoreboards: the potential consequences of big data , 2015, J. Inf. Technol..
[13] Kevin Mentzer,et al. Foresight for a responsible future with ICT , 2014, Information Systems Frontiers.
[14] Nicholas Diakopoulos,et al. Algorithmic Accountability , 2015 .
[15] J. Dijck. Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology , 2014 .
[16] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[17] M. Porter,et al. How Smart, Connected Products Are Transforming Companies , 2015 .
[18] R. Thaler. Misbehaving: The Making of Behavioral Economics , 2015 .
[19] Robert E. Crossler,et al. Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems , 2011, MIS Q..
[20] T. Davenport. big data @ work , 2014 .
[21] Veda C. Storey,et al. Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..
[22] Gloria E. Phillips-Wren,et al. An analytical journey towards big data , 2015, J. Decis. Syst..
[23] Daniel J. Power,et al. Mobile decision support and business intelligence: an overview☆ , 2013, J. Decis. Syst..
[24] Graeme Shanks,et al. Ethical Issues in Big Data Analytics: A Stakeholder Perspective , 2019, Commun. Assoc. Inf. Syst..
[25] Sanjay Gosain,et al. Enterprise Information Systems as Objects and Carriers of Institutional Forces: The New Iron Cage? , 2004, J. Assoc. Inf. Syst..
[26] Ernst C. Osinga,et al. Big Data and Data Science Methods for Management Research , 2016 .
[27] Viktor Mayer-Schnberger,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .
[28] 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..
[29] Michael Rosemann,et al. Conceptualizing business-to-thing interactions – A sociomaterial perspective on the Internet of Things , 2017, Eur. J. Inf. Syst..
[30] A. Tversky,et al. Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .
[31] K. Crawford,et al. Where are human subjects in Big Data research? The emerging ethics divide , 2016, Big Data Soc..
[32] Sue Newell,et al. Datification and its human, organizational and societal effects: The strategic opportunities and challenges of algorithmic decision-making , 2017, J. Strateg. Inf. Syst..
[33] Shoshana Zuboff. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power , 2019 .
[34] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[35] D. Power. “Big Brother” can watch us , 2016, J. Decis. Syst..
[36] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[37] Michael A. Osborne,et al. The future of employment: How susceptible are jobs to computerisation? , 2017 .
[38] Cecilia Fredriksson,et al. Big data creating new knowledge as support in decision-making: practical examples of big data use and consequences of using big data as decision support , 2018, J. Decis. Syst..
[39] LoebbeckeClaudia,et al. Reflections on societal and business model transformation arising from digitization and big data analytics , 2015 .
[40] R. Mason. Four ethical issues of the information age , 1986 .
[41] Daniel E. O'Leary. Exploiting Big Data from Mobile Device Sensor-Based Apps: Challenges and Benefits , 2013, MIS Q. Executive.
[42] Geoff Walsham,et al. Toward Ethical Information Systems: The Contribution of Discourse Ethics , 2010, MIS Q..
[43] Clay Shirky,et al. Here comes everybody , 2009 .
[44] Shoshana Zuboff,et al. Big other: surveillance capitalism and the prospects of an information civilization , 2015, J. Inf. Technol..
[45] Youngjin Yoo,et al. Computing in Everyday Life: A Call for Research on Experiential Computing , 2010, MIS Q..
[46] Frédéric Adam,et al. Citizen participation in decision-making: can one make a difference? , 2016, J. Decis. Syst..