Abstract
Data processing applied science techniques like artificial intelligence and the Internet of Things are grand inventions in tech history that are revolutionary themselves. This highly advanced and intelligent mechanism calls the attention of business concerns and enterprises to implement these applications to facilitate the productivity of the establishments gain better results from Corporate Social Responsibility (CSR) activities and achieve sustainable development goals. In this study, the author examines how innovative technologies like AI, IoT, and blockchain are executed by organisations to assist CSR operations and be effective instruments for economic resilience and security. The study focuses on how AI and IoT can transform CSR initiatives by automating tasks, improving efficiency, and enabling new and innovative ways to engage with stakeholders and address social and environmental challenges. For this purpose, the researcher comes to grips with various monitoring reports and examination papers to collect statistics regarding technologies and CSR and implement the same from a different perspective and also explore the challenges faced due incorporation of this automation are measured in this overview. Finally, the author concludes this study with suggestions that may be utilized in the forthcoming research and academic work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Robbins, J.: When smart is not: technology and Michio Kaku’s the future of the mind [leading edge]. IEEE Technol. Soc. Mag. 35, 29–31 (2016)
Cui, Z., Liang, X., Lu, X.: Prize or price? Corporate social responsibility commitment and sales performance in the Chinese private sector. Manag. Organ. Rev. 11, 25–44 (2015)
Sardana, D., Gupta, N., Kumar, V., Terziovski, M.: CSR ‘sustainability’ practices and firm performance in an emerging economy. J. Clean. Prod. 258, 120766 (2020)
Bradley, K.: Defining digital sustainability. Libr. Trends 56, 148–163 (2007)
UN Statistical Commission. Global Indicator Framework for the Sustainable Development Goals and Targets of the 2030 Agenda for Sustainable Development. UN Statistical Commission, New York (2017)
Novo, O.: Blockchain meets IoT: an architecture for scalable access management in IoT. IEEE Internet Things J. 5, 1184–1195 (2018)
Khamis, A., Li, H., Prestes, E., Haidegger, T.: AI: a key enabler of sustainable development goals, part 1 [industry activities]. IEEE Robot. Autom. Mag. 26(3), 95–102 (2019)
Frank, A.G., Dalenogare, L.S., Ayala, N.F.: Industry 4.0 technologies: implementation patterns in manufacturing companies. Int. J. Prod. Econ. 210, 15–26 (2019)
Lee, D., Yoon, S.N.: Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int. J. Environ. Res. Public Health 18(1), 271 (2021)
Yang, R., Yu, F.R., Si, P., Yang, Z., Zhang, Y.: Integrated blockchain and edge computing systems: a survey, some research issues and challenges. IEEE Commun. Surv. Tutor. 21, 1508–1532 (2019)
Sharma, M., et al.: LoED: LoRa and edge computing based system architecture for sustainable forest monitoring. Int. J. Eng. Trends Technol. 70(5), 88–93 (2022)
Bagwari, S., Roy, A., Gehlot, A., Singh, R., Priyadarshi, N., Khan, B.: LoRa based metrics evaluation for real-time landslide monitoring on IoT platform. IEEE Access 10, 46392–46407 (2022)
Bologna, G., Hayashi, Y.: Characterization of symbolic rules embedded in deep dimly networks: a challenge to the transparency of deep learning. J. Artif. Intell. Soft Comput. Res. 7, 265–286 (2017)
Bisht, D., et al.: Imperative role of integrating digitalization in the firms finance: a technological perspective. Electronics 11(19), 3252 (2022)
UNESCO. Convention Concerning the Protection of the World Cultural and Natural Heritage (World Heritage Convention) (1972)
The UNESCO Global Report, Reshaping Policies for Creativity – Addressing culture as a global public good, is the third edition of a series designed to monitor the implementation of the 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions
Fuqaha, A.A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of Things: a survey on enabling technologies protocols and applications. IEEE Commun. Surv. Tutor. 17(4), 2347–2376 (2015)
de Villiers, C., Kuruppu, S., Dissanayake, D.: A (new) role for business – Promoting the United Nations’ Sustainable Development Goals through the Internet-of-Things and blockchain technology. J. Bus. Res. 131, 598–609 (2021)
Rokade, A., Singh, M., Malik, P.K., Singh, R., Alsuwian, T.: Intelligent data analytics framework for precision farming using IoT and regressor machine learning algorithms. Appl. Sci. 12(19), 9992 (2022)
Kaur, N., Sood, S.K.: An energy-efficient architecture for the Internet of Things (IoT). IEEE Syst. J. 11(2), 796–805 (2015)
Ghisellini, P., Cialani, C., Ulgiati, S.: A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. J. Clean. Prod. 114, 11–32 (2016)
Xu, M., Chen, X., Kou, G.: A systematic review of blockchain. Financ. Innov. 5(1), 27 (2019)
Narayan, R., Tidström, A.: Circular economy inspired imaginaries for sustainable innovations. In: Bocken, N., Ritala, P., Albareda, L., Verburg, R. (eds.) Innovation for Sustainability. PSSBIAFE, pp. 393–413. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-97385-2_21
Moll, J., Yigitbasioglu, O.: The role of internet-related technologies in shaping the work of accountants: new directions for accounting research. Br. Account. Rev. 51(6), 100833 (2019)
Christidas, K., Devetsikiotis, M.: Blockchains and smart contracts for the Internet of Things. IEEE Access. 4, 2292–2303 (2016)
Dennis, R., Owen, G.: Rep on the block: a next generation reputation system based on the blockchain. In: 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST), pp. 131–138. IEEE (2015)
Fan, Z., et al.: Smart grid communications: overview of research challenges, solutions, and standardization activities. IEEE Commun. Surv. Tutor. 15(1), 21–38 (2013)
Shafagh, H., Burkhalter, L., Hithnawi, A., Duquennoy, S.: Towards blockchain-based auditable storage and sharing of IoT data. In: Proceedings of the 2017 on Cloud Computing Security Workshop, CCSW 2017, Dallas, TX, USA, 3 November 2017, pp. 45–50. ACM, New York (2017)
Huh, S., Cho, S., Kim, S.: Managing IoT devices using blockchain platform. In: Proceedings of the IEEE 19th International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea, 19–22 February 2017, pp. 464–467 (2017)
Conoscenti, M., Vetrò, A., De Martin, J.C.: Blockchain for the Internet of Things: a systematic literature review. In: Proceedings of the IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), Agadir, Morocco, 29 November–2 December 2016, pp. 1–6 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Khare, S., Uniyal, V., Kathuria, S., Chauhan, A.S., Akram, S.V., Aluvala, S. (2024). Transformation of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2026. Springer, Cham. https://doi.org/10.1007/978-3-031-53082-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-53082-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-53081-4
Online ISBN: 978-3-031-53082-1
eBook Packages: Computer ScienceComputer Science (R0)