IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i6d10.1007_s10668-020-00999-1.html
   My bibliography  Save this article

A decisional smart approach for the adoption of the IT green

Author

Listed:
  • Aziza Chakir

    (Hassan II University)

  • Meriyem Chergui

    (Hassan II University)

  • Johanes Fernandes Andry

    (Bunda Mulia University)

Abstract

The new IT governance practices have emerged to adopt a responsible attitude within the company to question its mode of operation, its mode of consumption and its relationship with every IT service. The objective of our research is to ensure that the functions of the company should follow the criteria of coherence and of consonance, in order to develop a corporate culture oriented toward the restoration of the environment, green IT. Knowing how to make information and communication technologies as a catalyst for sustainable development and deploying a specific green framework to the company by using the powers of the artificial intelligence are the aim of our proposed approach. According to the four ecological aspects, the proposed approach, firstly it diagnoses the maturity of the company by grouping the existing processes and the IT needs processes. Secondly it unifies all the processes by using a prototype process. Finally, it evaluates the company’s processes by using a suite of performance indicators then it lists a set of the best ecological recommendations.

Suggested Citation

  • Aziza Chakir & Meriyem Chergui & Johanes Fernandes Andry, 2021. "A decisional smart approach for the adoption of the IT green," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8857-8871, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-00999-1
    DOI: 10.1007/s10668-020-00999-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-020-00999-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-020-00999-1?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. Shahla Asadi & Ab Razak Che Hussin & Halina Mohamed Dahlan, 2018. "Toward Green IT adoption: from managerial perspective," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 29(1), pages 106-125.
    2. Amélie Bohas & Francoise Berthoud & Gabrielle Feltin, 2019. "Norme numérique et green IT," Post-Print hal-02057322, HAL.
    3. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    4. Powell-Turner, Julieanna & Antill, Peter D. & Fisher, Richard E., 2016. "The United Kingdom Ministry of Defence and the European Union's electrical and electronic equipment directives," Resources Policy, Elsevier, vol. 49(C), pages 422-432.
    5. Irene Ramos-Soler & Alba-María Martínez-Sala & Concepción Campillo-Alhama, 2019. "ICT and the Sustainability of World Heritage Sites. Analysis of Senior Citizens’ Use of Tourism Apps," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    7. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    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. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    2. Muhammad Tanveer & Shafiqul Hassan & Amiya Bhaumik, 2020. "Academic Policy Regarding Sustainability and Artificial Intelligence (AI)," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    3. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
    4. Gilbert Cette & Lorraine Koehl & Thomas Philippon, 2019. "The Labor Share in the Long Term: A Decline?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 35-51.
    5. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    6. Estrada, Mario Arturo Ruiz & Park, Donghyun & Staniewski, Marcin, 2023. "Artificial Intelligence (AI) can change the way of doing policy modelling," Journal of Policy Modeling, Elsevier, vol. 45(6), pages 1099-1112.
    7. Mahmut Ozer & Matjaž Perc, 2020. "Dreams and realities of school tracking and vocational education," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-7, December.
    8. Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.
    9. Huajie Jiang & Qiguo Gong, 2022. "Does Skill Polarization Affect Wage Polarization? U.S. Evidence 2009–2021," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    10. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    11. Anna-Maria Kanzola, 2024. "The Knowledge Content of the Greek Production Structure in the Aftermath of the Greek Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 936-957, March.
    12. Fulvio Castellacci, 2023. "Innovation and social welfare: A new research agenda," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1156-1191, September.
    13. repec:eur:ejesjr:364 is not listed on IDEAS
    14. Xiangyi Li & Qing Wang & Ying Tang, 2024. "The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    15. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    16. Sasaki, Hiroaki, 2023. "Growth with automation capital and declining population," Economics Letters, Elsevier, vol. 222(C).
    17. Elizabeth Fisher & Michael A. Flynn & Preethi Pratap & Jay A. Vietas, 2023. "Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review," IJERPH, MDPI, vol. 20(13), pages 1-28, June.
    18. Shan Feng & Shuguang Liu, 2023. "Does AI Application Matter in Promoting Carbon Productivity? Fresh Evidence from 30 Provinces in China," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
    19. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    20. Sossdorf, Fernando, 2022. "Winners take all (the most): The effects of market concentration on labor share and wage inequality," MPRA Paper 113642, University Library of Munich, Germany.
    21. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.

    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:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-00999-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.