The Power of Smart Technologies for Global Partnership for Development

  • Chapter
  • First Online:
FinTech and Artificial Intelligence for Sustainable Development

Part of the book series: Sustainable Development Goals Series ((SDGS))

  • 582 Accesses

Abstract

The multi-stakeholder mechanism for furthering development is the global partnership for development. Cooperation for development is made possible through partnerships for the benefit of everyone including the earth, people, prosperity, and peace. To ensure that the sustainable development goals are met, the global partnership for development can bring together a wide range of stakeholders, including representatives from governments, bilateral and multilateral organizations, civil society, the private sector, and representatives from parliaments and trade unions. In this chapter, we’ll examine the potential role that technology might play in making it easier for successful partnerships to emerge for the benefit of development.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (France)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 117.69
Price includes VAT (France)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 147.69
Price includes VAT (France)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abbas, A., Alroobaea, R., Krichen, M., Rubaiee, S., Vimal, S., & Almansour, F. M. (2021). Blockchain-assisted secured data management framework for health information analysis based on the Internet of Medical Things. Personal and Ubiquitous Computing, 1–14.

    Google Scholar 

  • Abdulzaher, M. (2019). Artificial intelligence journalism reinforces global partnership for sustainable development. https://www.gulftoday.ae/opinion/2019/04/08/artificial-intelligence-journalism-reinforces-global-partnership-for-sustainable-development

  • Akkaoui, R., Hei, X., & Cheng, W. (2020). EdgeMediChain: A hybrid edge blockchain-based framework for health data exchange. IEEE Access, 8, 113467–113486.

    Article  Google Scholar 

  • Bachmann, N., Tripathi, S., Brunner, M., & Jodlbauer, H. (2022). The contribution of data-driven technologies in achieving sustainable development goals. Sustainability, 14(5), 2497.

    Article  Google Scholar 

  • Bäckstrand, K. (2006). Multi-stakeholder partnerships for sustainable development: Rethinking legitimacy, accountability and effectiveness. European Environment, 16(5), 290–306.

    Article  Google Scholar 

  • Chandan, A., John, M., & Potdar, V. (2023). Achieving UN SDGs in food supply chain using blockchain technology. Sustainability, 15(3), 2109.

    Article  Google Scholar 

  • Clarke, A., & MacDonald, A. (2019). Outcomes to partners in multi-stakeholder cross-sector partnerships: A resource-based view. Business & Society, 58(2), 298–332.

    Article  Google Scholar 

  • de Villiers, C., Kuruppu, S., & Dissanayake, D. (2021). A (new) role for business—Promoting the United Nations’ Sustainable Development Goals through the internet-of-things and blockchain technology. Journal of Business Research, 131, 598–609.

    Article  Google Scholar 

  • Eweje, G., Sajjad, A., Nath, S. D., & Kobayashi, K. (2021). Multi-stakeholder partnerships: A catalyst to achieve sustainable development goals. Marketing Intelligence & Planning, 39(2), 186–212.

    Article  Google Scholar 

  • Ferreira, B., Iten, M., & Silva, R. G. (2020). Monitoring sustainable development utilizing earth observation data and machine learning: A review. Environmental Sciences Europe, 32(1), 1–17.

    Article  Google Scholar 

  • Hoosain, M. S., Paul, B. S., & Ramakrishna, S. (2020). The impact of 4IR digital technologies and circular thinking on the United Nations sustainable development goals. Sustainability, 12(23), 10143.

    Article  Google Scholar 

  • Javaid, M., Haleem, A., Singh, R. P., Rab, S., Haq, M. I. U., & Raina, A. (2022). Internet of Things in the global healthcare sector: Significance, applications, and barriers. International Journal of Intelligent Networks, 3, 165–175.

    Article  Google Scholar 

  • Kee, K. K., Ting, H. Y., Lim, Y. S., Ting, J. T. W., Peter, M., Ibrahim, K., & Show, P. L. (2022). Feasibility of UTS smart home to support sustainable development goals of United Nations (UN SDGs): Water and energy conservation. Sustainability, 14(19), 12242.

    Article  Google Scholar 

  • Leng, J., Ruan, G., Jiang, P., Xu, K., Liu, Q., Zhou, X., & Liu, C. (2020). Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey. Renewable and Sustainable Energy Reviews, 132, 110112.

    Google Scholar 

  • Lindgren, D. (2019). Space-based financial services and their potential for supporting displaced persons. In A. Froehlich (Ed.), Embedding space in African society: The United Nations Sustainable Development Goals 2030 supported by space applications (pp. 93–104). Springer.

    Chapter  Google Scholar 

  • Mhlanga, D. (2021). Artificial intelligence in the industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies? Sustainability, 13(11), 5788.

    Google Scholar 

  • Mhlanga, D. (2023a). Block chain technology for digital financial inclusion in the industry 4.0, towards sustainable development? Frontiers in Blockchain, 6, 1035405. https://doi.org/10.3389/fbloc.2023.1035405

  • Mhlanga, D. (2023b). Artificial intelligence and machine learning for energy consumption and production in emerging markets: A review. Energies, 16(2), 745.

    Article  Google Scholar 

  • Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., She, Q., & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet. Science of the Total Environment, 794, 148539.

    Article  Google Scholar 

  • Rokonuzzaman, M. (2019). Smart technology partnership for sustainable development. https://thefinancialexpress.com.bd/views/smart-technology-partnership-for-sustainable-development-1546614957

  • Sahoo, S., Kumar, S., Sivarajah, U., Lim, W. M., Westland, J. C., & Kumar, A. (2022). Blockchain for sustainable supply chain management: Trends and ways forward. Electronic Commerce Research, 1–56.

    Google Scholar 

  • Truby, J. (2020). Governing artificial intelligence to benefit the UN sustainable development goals. Sustainable Development, 28(4), 946–959.

    Article  Google Scholar 

  • UNICEF. (2021). Harnessing the power of technology and digital innovation for children. https://www.unicef.org/media/100211/file/DIGITAL%20UNICEF.pdf

  • USTDA. (2021). Global partnership for climate-smart infrastructure. https://ustda.gov/global-partnership-for-climate-smart-infrastructure/

  • Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 233.

    Article  Google Scholar 

  • Wang, D., Saleh, N. B., Byro, A., Zepp, R., Sahle-Demessie, E., Luxton, T. P., Ho, K. T., Burgess, R. M., Flury, M., White, J. C., & Su, C. (2022). Nano-enabled pesticides for sustainable agriculture and global food security. Nature Nanotechnology, 17(4), 347–360.

    Article  Google Scholar 

  • Xu, H., Berres, A., Yoginath, S. B., Sorensen, H., Nugent, P. J., Severino, J., Tennille, S. A., Moore, A., Jones, W., & Sanyal, J. (2023). Smart mobility in the cloud: Enabling real-time situational awareness and cyber-physical control through a digital twin for traffic. IEEE Transactions on Intelligent Transportation Systems, 24(3).

    Google Scholar 

  • Yang, Y., Wang, H., Jiang, R., Guo, X., Cheng, J., & Chen, Y. (2022). A review of IoT-enabled mobile healthcare: Technologies, challenges, and future trends. IEEE Internet of Things Journal, 9(12), 9478–9502.

    Article  Google Scholar 

  • Yar, H., Imran, A. S., Khan, Z. A., Sajjad, M., & Kastrati, Z. (2021). Towards smart home automation using IoT-enabled edge-computing paradigm. Sensors, 21(14), 4932.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Mhlanga .

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mhlanga, D. (2023). The Power of Smart Technologies for Global Partnership for Development. In: FinTech and Artificial Intelligence for Sustainable Development. Sustainable Development Goals Series. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-37776-1_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-37776-1_13

  • Published:

  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-031-37775-4

  • Online ISBN: 978-3-031-37776-1

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

Publish with us

Policies and ethics

Navigation