IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v165y2021ics0040162520313858.html
   My bibliography  Save this article

An ethical framework for big data and smart cities

Author

Listed:
  • Chang, Victor

Abstract

This paper presents an ethical framework for Big Data and Smart cities, focusing on contemporary ethical and non-ethical issues in big data analytics applications in smart cities and public transportation systems. The framework provides reviews and analysis of ethical and emerging issues and provides a summary of recommendations and discussions for four emerging areas. By reviewing recent studies on both the technological development and emerging ethical problems in the emerging industries, this paper seeks to find and raise public awareness of ethical issues lying in urban big data analytics and public transportation systems. In order to deal with emerging issues, four recommendations have been explained and subsequently, two areas of discussion have been described in detail to support the ethical framework. This paper addresses emerging issues and their ethical concerns for big data and smart cities. Possible recommendations and solutions have been demonstrated to promote the competency of companies and organizations in this big data era. How the ethical framework can be used by six smart cities have been described. Our findings and analysis for big data for high growth, innovation and core competencies and validity of the ethical framework have been justified.

Suggested Citation

  • Chang, Victor, 2021. "An ethical framework for big data and smart cities," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313858
    DOI: 10.1016/j.techfore.2020.120559
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520313858
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2020.120559?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Meng, Fanxin & Liu, Gengyuan & Yang, Zhifeng & Casazza, Marco & Cui, Shenghui & Ulgiati, Sergio, 2017. "Energy efficiency of urban transportation system in Xiamen, China. An integrated approach," Applied Energy, Elsevier, vol. 186(P2), pages 234-248.
    2. Amy Glasmeier & Susan Christopherson, 2015. "Thinking about smart cities," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(1), pages 3-12.
    3. Stelzer, Anselmo & Englert, Frank & Hörold, Stephan & Mayas, Cindy, 2016. "Improving service quality in public transportation systems using automated customer feedback," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 259-271.
    4. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
    5. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    6. Margarita Angelidou, 2016. "Four European Smart City Strategies," International Journal of Social Science Studies, Redfame publishing, vol. 4(4), pages 18-30, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ali, Mohd Helmi & Chung, Leanne & Kumar, Ajay & Zailani, Suhaiza & Tan, Kim Hua, 2021. "A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2. Magni, Domitilla & Scuotto, Veronica & Pezzi, Alberto & Giudice, Manlio Del, 2021. "Employees’ acceptance of wearable devices: Towards a predictive model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Angel A. Juan & Majsa Ammouriova & Veronika Tsertsvadze & Celia Osorio & Noelia Fuster & Yusef Ahsini, 2023. "Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics," Energies, MDPI, vol. 16(20), pages 1-19, October.
    4. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    5. Scuotto, Veronica & Magni, Domitilla & Palladino, Rosa & Nicotra, Melita, 2022. "Triggering disruptive technology absorptive capacity by CIOs. Explorative research on a micro-foundation lens," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Jessica Müller-Pérez & Viridiana Sarahí Garza-Muñiz & Ángel Acevedo-Duque & Elizabeth Emperatriz García-Salirrosas & Jorge Alberto Esponda-Pérez & Rina Álvarez-Becerra, 2022. "The Future of Tamaulipas MSMEs after COVID-19: Intention to Adopt Inbound Marketing Tools," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    7. Huang, Tseng-Lung & Liu, Ben S.C., 2021. "Augmented reality is human-like: How the humanizing experience inspires destination brand love," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    8. Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    9. Jianjia, He & Gang, Liu & Xiaojun, Tan & Tingting, Li, 2021. "Research on collaborative recommendation of dynamic medical services based on cloud platforms in the industrial interconnection environment," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    10. Ayyoob Sharifi & Amir Reza Khavarian-Garmsir & Rama Krishna Reddy Kummitha, 2021. "Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    11. Qi, Quansong & Xu, Zhiyong & Rani, Pratibha, 2023. "Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    12. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    13. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
    14. Raquel Soriano-Gonzalez & Elena Perez-Bernabeu & Yusef Ahsini & Patricia Carracedo & Andres Camacho & Angel A. Juan, 2023. "Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona," Logistics, MDPI, vol. 7(4), pages 1-20, October.
    15. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Irani, Zahir, 2023. "Responsible natural language processing: A principlist framework for social benefits," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Paiola, Marco & Schiavone, Francesco & Khvatova, Tatiana & Grandinetti, Roberto, 2021. "Prior knowledge, industry 4.0 and digital servitization. An inductive framework," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    17. Zuo, Zheming & Li, Jie & Xu, Han & Al Moubayed, Noura, 2021. "Curvature-based feature selection with application in classifying electronic health records," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Jyoti Choudrie & Shruti Patil & Ketan Kotecha & Nikhil Matta & Ilias Pappas, 2021. "Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1431-1465, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Constance Carr & Markus Hesse, 2020. "When Alphabet Inc. Plans Toronto’s Waterfront: New Post-Political Modes of Urban Governance," Urban Planning, Cogitatio Press, vol. 5(1), pages 69-83.
    2. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    3. Jacek Buko & Marek Bulsa & Adam Makowski, 2022. "Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market," Energies, MDPI, vol. 15(4), pages 1-17, February.
    4. Becker, Jörg & Distel, Bettina & Grundmann, Matthias & Hupperich, Thomas & Kersting, Norbert & Löschel, Andreas & Parreira do Amaral, Marcelo & Scholta, Hendrik, 2021. "Challenges and potentials of digitalisation for small and mid-sized towns: Proposition of a transdisciplinary research agenda," ERCIS Working Papers 36, University of Münster, European Research Center for Information Systems (ERCIS).
    5. Lin, Zhibin & Vlachos, Ilias, 2018. "An advanced analytical framework for improving customer satisfaction: A case of air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 185-195.
    6. Wen, Yifan & Zhang, Shaojun & Zhang, Jingran & Bao, Shuanghui & Wu, Xiaomeng & Yang, Daoyuan & Wu, Ye, 2020. "Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data," Applied Energy, Elsevier, vol. 260(C).
    7. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    8. Leonid Gitelman & Mikhail Kozhevnikov, 2017. "Electrification as a Development Driver for “Smart Citiesâ€," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1199-1210.
    9. Jihui Ma & Cuiying Song & Avishai (Avi) Ceder & Tao Liu & Wei Guan, 2017. "Fairness in optimizing bus-crew scheduling process," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-19, November.
    10. Zhang, Haoran & Chen, Jinyu & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke, 2020. "Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential," Applied Energy, Elsevier, vol. 269(C).
    11. Yong, Juan & Zheng, Linjiang & Mao, Xiaowen & Tang, Xi & Gao, Ang & Liu, Weining, 2021. "Mining metro commuting mobility patterns using massive smart card data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    12. Kummitha, Rama Krishna Reddy & Crutzen, Nathalie, 2019. "Smart cities and the citizen-driven internet of things: A qualitative inquiry into an emerging smart city," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 44-53.
    13. Pieroni, Caio & Giannotti, Mariana & Alves, Bianca B. & Arbex, Renato, 2021. "Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Luminița Hurbean & Florin Militaru & Mihaela Muntean & Doina Danaiata, 2023. "The Impact of Business Intelligence and Analytics Adoption on Decision Making Effectiveness and Managerial Work Performance," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(SI), pages 43-54, February.
    15. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    16. Tong, Zhaomin & Zhang, Ziyi & An, Rui & Liu, Yaolin & Chen, Huiting & Xu, Jiwei & Fu, Shihang, 2024. "Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities," Journal of Transport Geography, Elsevier, vol. 116(C).
    17. Ma, Zhenliang & Koutsopoulos, Haris N. & Liu, Tianyou & Basu, Abhishek Arunasis, 2020. "Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 356-372.
    18. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    19. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    20. Wang, Yihong & Correia, Gonçalo Homem de Almeida & de Romph, Erik & Timmermans, H.J.P., 2017. "Using metro smart card data to model location choice of after-work activities: An application to Shanghai," Journal of Transport Geography, Elsevier, vol. 63(C), pages 40-47.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313858. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.