Skip to main content
Springer Nature Link
Log in

Conceptual Framework of Contact-Less Consumer Products Industry During and Post-pandemic Era

  • Conference paper
  • First Online:
Internet of Things (GIoTS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13533))

Included in the following conference series:

  • 1051 Accesses

Abstract

The COVID-19 era has reshaped the world regarding the contact-less economy, healthcare systems, remote work environment, people’s lifestyle and their daily routines, etc. The consumer products (CP) industry is being impacted due to the behaviours of consumers during self-quarantine. This accelerates adopting digital transformation and upgrading the business models for the contact-less CP industry. Accordingly, this study provides a step toward the contact-less CP industry during and post-pandemic. First, we have proposed a conceptual framework for the contact-less CP industry that aims to bring together the key advanced technologies (e.g., Digital Twin (DT), blockchain, AI, cloud computing, 5G, and robots). The combination of the advanced technologies provides data monitoring, transparency, traceability, automation, and data sharing among consumers and CP partners. The proposed framework will enable a more contact-less personalized interaction that will work towards higher levels of consumer satisfaction while maintaining contact-less economy growth. Then, we have described how the proposed framework can be applied for contact-less delivery services for the CP industry during and post-pandemic.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /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
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Sahal, R., Alsamhi, S.H., Brown, K.N., O’Shea, D., Alouffi, B.: Blockchain-based digital twins collaboration for smart pandemic alerting: decentralized covid-19 pandemic alerting use case. Comput. Intell. Neurosci. 2022 (2022)

    Google Scholar 

  2. Li, S.: How does covid-19 speed the digital transformation of business processes and customer experiences? Rev. Bus. 41(1), 1–14 (2021)

    Google Scholar 

  3. Hoekstra, J.C., Leeflang, P.S.: Marketing in the era of covid-19. Ital. J. Mark. 2020(4), 249–260 (2020)

    Article  Google Scholar 

  4. Bhatti, A., Akram, H., Basit, H.M., Khan, A.U., Raza, S.M., Naqvi, M.B.: E-commerce trends during covid-19 pandemic. Int. J. Future Gener. Commun. Networking 13(2), 1449–1452 (2020)

    Google Scholar 

  5. Deloitte: 2022 consumer products industry outlook. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consumer-business/us-deloitte-2022-consumer-products-industry-outlook.pdf

  6. Sheth, J.: Impact of covid-19 on consumer behavior: will the old habits return or die? J. Bus. Res. 117, 280–283 (2020)

    Article  Google Scholar 

  7. Gu, S., Ślusarczyk, B., Hajizada, S., Kovalyova, I., Sakhbieva, A.: Impact of the covid-19 pandemic on online consumer purchasing behavior. J. Theor. Appl. Electron. Commer. Res. 16(6), 2263–2281 (2021)

    Article  Google Scholar 

  8. Di Crosta, A., et al.: Psychological factors and consumer behavior during the COVID-19 pandemic. PLoS ONE 16(8), e0256095 (2021)

    Google Scholar 

  9. Vázquez-Martínez, U.J., Morales-Mediano, J., Leal-Rodríguez, A.L.: The impact of the covid-19 crisis on consumer purchasing motivation and behavior. Eur. Res. Manage. Bus. Econ. 27(3), 100166 (2021)

    Article  Google Scholar 

  10. Nandi, S., Sarkis, J., Hervani, A.A., Helms, M.M.: Redesigning supply chains using blockchain-enabled circular economy and covid-19 experiences. Sustain. Prod. Consumption 27, 10–22 (2021)

    Article  Google Scholar 

  11. Mittal, P., Walthall, A., Cui, P., Skjellum, A., Guin, U.: A blockchain-based contactless delivery system for addressing covid-19 and other pandemics. In: 2021 IEEE International Conference on Blockchain (Blockchain), pp. 1–6. IEEE (2021)

    Google Scholar 

  12. Alsamhi, S.H., Lee, B.: Blockchain-empowered multi-robot collaboration to fight covid-19 and future pandemics. IEEE Access 9, 44173–44197 (2021). https://doi.org/10.1109/ACCESS.2020.3032450

    Article  Google Scholar 

  13. Abdullah, D., Rahardja, U., Oganda, F.P.: Covid-19: decentralized food supply chain management. Syst. Rev. Pharm 12(3), 142–152 (2021)

    Google Scholar 

  14. Burgos, D., Ivanov, D.: Food retail supply chain resilience and the covid-19 pandemic: a digital twin-based impact analysis and improvement directions. Transp. Res. Part E: Logistics Transp. Rev. 152, 102412 (2021)

    Article  Google Scholar 

  15. Sahal, R., Alsamhi, S.H., Brown, K.N., O’Shea, D., McCarthy, C., Guizani, M.: Blockchain-empowered digital twins collaboration: smart transportation use case. Machines 9(9) (2021). https://doi.org/10.3390/machines9090193,https://www.mdpi.com/2075-1702/9/9/193

  16. Wang, F.Y., Shang, X., Qin, R., Xiong, G., Nyberg, T.R.: Social manufacturing: a paradigm shift for smart prosumers in the era of Societies 5.0. IEEE Trans. Comput. Soc. Syst. 6(5), 822–829 (2019). https://doi.org/10.1109/TCSS.2019.2940155

  17. Xiong, G., et al.: From mind to products: towards social manufacturing and service. IEEE/CAA J. Automatica Sin. 5(1), 47–57 (2018). https://doi.org/10.1109/JAS.2017.7510742

  18. Shang, X., et al.: Social manufacturing for high-end apparel customization. IEEE/CAA J. Automatica Sin. 5(2), 489–500 (2018). https://doi.org/10.1109/JAS.2017.7510832

  19. Sahal, R., Alsamhi, S.H., Breslin, J.G., Brown, K.N., Ali, M.I.: Digital twins collaboration for automatic erratic operational data detection in Industry 4.0. Appl. Sci. 11(7) (2021). https://www.mdpi.com/2076-3417/11/7/3186

  20. Kapteyn, M.G., Knezevic, D.J., Willcox, K.: Toward predictive digital twins via component-based reduced-order models and interpretable machine learning. In: AIAA Scitech 2020 Forum, p. 0418 (2020)

    Google Scholar 

  21. Sahal, R., Breslin, J.G., Ali, M.I.: Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case. J. Manufac. Syst. 54, 138–151 (2020). https://doi.org/10.1016/j.jmsy.2019.11.004,

  22. Safara, F.: A computational model to predict consumer behaviour during covid-19 pandemic. Comput. Econ. 59, 1–14 (2020)

    Google Scholar 

  23. Ghahramani, M., Qiao, Y., Zhou, M.C., O’Hagan, A., Sweeney, J.: AI-based modeling and data-driven evaluation for smart manufacturing processes. IEEE/CAA J. Automatica Sin. 7(4), 1026–1037 (2020). https://doi.org/10.1109/JAS.2020.1003114

    Article  Google Scholar 

  24. Hasan, H.R., et al.: A blockchain-based approach for the creation of digital twins. IEEE Access 8, 34113–34126 (2020)

    Google Scholar 

  25. Borodulin, K., Radchenko, G., Shestakov, A., Sokolinsky, L., Tchernykh, A., Prodan, R.: Towards digital twins cloud platform: microservices and computational workflows to rule a smart factory. In: Proceedings of the10th International Conference on Utility and Cloud Computing, pp. 209–210 (2017)

    Google Scholar 

  26. Almalki, F., et al.: Green IoT for eco-friendly and sustainable smart cities: future directions and opportunities. Mob. Networks Appl. 1–25 (2021)

    Google Scholar 

  27. Siriwardhana, Y., Gür, G., Ylianttila, M., Liyanage, M.: The role of 5G for digital healthcare against covid-19 pandemic: opportunities and challenges. ICT Express 7(2), 244–252 (2021)

    Article  Google Scholar 

  28. Abubakar, A.I., Omeke, K.G., Ozturk, M., Hussain, S., Imran, M.A.: The role of artificial intelligence driven 5G networks in covid-19 outbreak: opportunities, challenges, and future outlook. Front. Commun. Networks 1, 575065 (2020)

    Article  Google Scholar 

  29. Raje, S., et al.: Applications of healthcare robots in combating the covid-19 pandemic. Appl. Bionics Biomech. 2021 (2021)

    Google Scholar 

  30. Alsamhi, S.H., Lee, B., Guizani, M., Kumar, N., Qiao, Y., Liu, X.: Blockchain for decentralized multi-drone to combat covid-19 and future pandemics: framework and proposed solutions. Trans. Emerg. Telecommun. Technol. 32, e4255 (2021)

    Google Scholar 

  31. Mukherjee, S., Baral, M.M., Venkataiah, C., Pal, S.K., Nagariya, R.: Service robots are an option for contactless services due to the covid-19 pandemic in the hotels. Decision 48(4), 445–460 (2021)

    Article  Google Scholar 

  32. Zhang, P., Zhou, M.: Security and trust in blockchains: architecture, key technologies, and open issues. IEEE Trans. Comput. Soc. Syst. 7(3), 790–801 (2020). https://doi.org/10.1109/TCSS.2020.2990103

    Article  Google Scholar 

  33. Rasheed, A., San, O., Kvamsdal, T.: Digital twin: values, challenges and enablers from a modeling perspective. IEEE Access 8, 21980–22012 (2020)

    Article  Google Scholar 

Download references

Acknowledgement

This research has emanated from research supported by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/16/RC/3918 (CONFIRM), and Marie Skłodowska-Curie grant agreement No. 847577 co-funded by the European Regional Development Fund.

Author information

Authors and Affiliations

  1. School of Computer Science and IT, University College Cork, Cork, Ireland

    Radhya Sahal & Kenneth N. Brown

  2. Technological University of the Shannon: Midlands Midwest, Athlone, Ireland

    Saeed. H. Alsamhi

Authors
  1. Radhya Sahal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saeed. H. Alsamhi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kenneth N. Brown
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Radhya Sahal .

Editor information

Editors and Affiliations

  1. University of Murcia, Murcia, Spain

    Aurora González-Vidal

  2. Central Michigan University, Mount Pleasant, MI, USA

    Ahmed Mohamed Abdelgawad

  3. University of Quebec at Montreal, Montreal, QC, Canada

    Essaid Sabir

  4. IoT Forum, Mandat International, Geneva, Switzerland

    Sébastien Ziegler

  5. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Latif Ladid

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sahal, R., Alsamhi, S.H., Brown, K.N. (2022). Conceptual Framework of Contact-Less Consumer Products Industry During and Post-pandemic Era. In: González-Vidal, A., Mohamed Abdelgawad, A., Sabir, E., Ziegler, S., Ladid, L. (eds) Internet of Things. GIoTS 2022. Lecture Notes in Computer Science, vol 13533. Springer, Cham. https://doi.org/10.1007/978-3-031-20936-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-20936-9_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20935-2

  • Online ISBN: 978-3-031-20936-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics