Navigating the Uncharted Waters: Exploring Challenges and Opportunities in Block chain-Enabled Cloud Computing for Future Research
Keywords:
block chain, cloud computing, integration, challenges, opportunities, case studies, security, privacy, user education, research and development, future directions, transformative potential, and regulatory considerations.Abstract
This article offers a thorough examination of the prospects, challenges, and future directions of block chain-enabled cloud computing, navigating a field that is still relatively new. The study explores the intricacies of the integration, from laying forth fundamental ideas to analyzing the present situation. Case studies shed light on effective implementations in the fields of finance, healthcare, supply chains, and other areas, offering insightful guidance for future initiatives. Examined are the transformative potential, security consequences, and regulatory considerations, highlighting the importance of sound frameworks and responsible development. Important factors including cooperation, sustainability, privacy, user education, regulatory clarity, and ongoing research are outlined in the roadmap for the future. In summary, the paper predicts a revolutionary digital future where block chain technology and cloud computing combine to foster creativity, cooperation, and resilience.
References
M. Shen, Y. Deng, L. Zhu, X. Du, and N. Guizani, “Privacy-Preserving Image Retrieval for Medical IoT Systems: A Blockchain-Based Approach,” IEEE Network, vol. 33, no. 5, pp. 27–33, 2019.
H.-N. Dai, Z. Zheng, and Y. Zhang, “Blockchain for internet of things: A survey,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8076–8094, 2019.
Z. Zheng, S. Xie, H.-N. Dai, W. Chen, X. Chen, J. Weng, and M. Imran, “An Overview on Smart Contracts: Challenges, Advances and Platforms,” Future Generation Computer Systems, vol. 105, pp. 475– 491, April 2020.
M. Ahmed and A. K. Pathan, “Blockchain: Can It Be Trusted?” Computer, vol. 53, no. 4, pp. 31–35, 2020.
Y. A. Qadri, A. Nauman, Y. B. Zikria, A. V. Vasilakos, and S. W. Kim, “The future of healthcare internet of things: A survey of emerging technologies,” IEEE Communications Surveys & Tutorials, vol. 22, no. 2, pp. 1121–1167, 2020.
C. Boudagdigue, A. Benslimane, A. Kobbane, and J. Liu, “Trust management in industrial internet of things,” IEEE Transactions on Information Forensics and Security, pp. 1–1, 2020.
B. Udugama, P. Kadhiresan, H. N. Kozlowski, A. Malekjahani, M. Osborne, V. Y. Li, H. Chen, S. Mubareka, J. B. Gubbay, and W. C. Chan, “Diagnosing COVID-19: the disease and tools for detection,” ACS nano, vol. 14, no. 4, pp. 3822–3835, 2020.
B. Chen, M. Imran, N. Nasser, and M. Shoaib, “Self-Aware Autonomous City: From Sensing to Planning,” IEEE Communications Magazine, vol. 57, no. 4, pp. 33–39, 2019.
M. Herland, T. M. Khoshgoftaar, and R. A. Bauder, “Big data fraud detection using multiple medicare data sources,” Journal of Big Data, vol. 5, no. 1, p. 29, 2018.
T. K. Mackey, T.-T. Kuo, B. Gummadi, K. A. Clauson, G. Church, D. Grishin, K. Obbad, R. Barkovich, and M. Palombini, “fit-forpurpose?–challenges and opportunities for applications of blockchain technology in the future of healthcare,” BMC medicine, vol. 17, no. 1, pp. 1–17, 2019.
D. Liu, J. Ni, C. Huang, X. Lin, and X. Shen, “Secure and Efficient Distributed Network Provenance for IoT: A Blockchain-based Approach,” IEEE Internet of Things Journal, pp. 1–1, 2020.
M. Baza, M. M. Fouda, M. Nabil, A. T. Eldien, H. Mansour, and M. Mahmoud, “Blockchain-based distributed key management approach tailored for smart grid,” in Combating Security Challenges in the Age of Big Data. Springer, 2020, pp. 237–263.
Marinakis, Y., Walsh, S. T., & Harms, R. (2021). Age Matters: How Generational Decision-Making Cohorts Affect Disruptive Technology New Product Development. IEEE Transactions on Engineering Management.
Menkhoff, T., Kan, S. N., Tan, E. K., & Foong, S. (2022). Future-proofing students in higher education with unmanned aerial vehicles technology: A knowledge management case study. Knowledge Management & E-Learning: An International Journal, 14(2), 223.
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*, t. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269. Page 31/38
Naghshineh, B., Ribeiro, A., Jacinto, C., & Carvalho, H. (2021). Social impacts of additive manufacturing: A stakeholder-driven framework. Technological Forecasting and Social Change, 164, 120368.
Nasiri, M., Tura, N., & Ojanen, V. (2017). Developing disruptive innovations for sustainability: A review on Impact of Internet of Things (IOT). 2017 Portland International Conference on Management of Engineering and Technology (PICMET),
Öberg, C., & Shams, T. (2019). On the verge of disruption: rethinking position and role–the case of additive manufacturing. Journal of business & industrial marketing, 34(5), 1093-1105.
Padfield, R. W., Dales, A., Mishra, J., & Smith, T. (2023). Digital disruption: Towards a research agenda for sustainability and business in a digital world. A Research Agenda for Sustainability and Business, 185.
Park, J., Hong, E., & Le, H. T. (2021). Adopting autonomous vehicles: The moderating effects of demographic variables. Journal of Retailing and Consumer Services, 63, 102687.
Pasricha, A., & Greeninger, R. (2018). Exploration of 3D printing to create zero-waste sustainable fashion notions and jewelry. Fashion and Textiles, 5(1), 1-18.
Păvăloaia, V.-D., & Necula, S.-C. (2023). Artificial Intelligence as a Disruptive Technology—A Systematic Literature Review. Electronics, 12(5), 1102.
Petzold, N., Landinez, L., & Baaken, T. (2019). Disruptive innovation from a process view: A systematic literature review. Creativity and Innovation Management, 28(2), 157-174. https://doi.org/10.1111/caim.12313
Plantec, Q., Deval, M.-A., Hooge, S., & Weil, B. (2023). Big data as an exploration trigger or problemsolving patch: Design and integration of AI-embedded systems in the automotive industry. Technovation, 102763.
Ponzoa, J. M., Gómez, A., Villaverde, S., & Díaz, V. (2021). Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers. Technological Forecasting and Social Change, 173, 121166
Prasad, S., Shankar, R., Gupta, R., & Roy, S. (2018). A TISM modeling of critical success factors of blockchain based cloud services. Journal of Advances in Management Research, 15(4), 434-456.
Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2021). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities. Benchmarking: An International Journal, 28(5), 1761-1782.
Ramzi, N., Ahmad, H., & Zakaria, N. (2019). A conceptual model on people approach and smart manufacturing. International Journal of Supply Chain Management, 8(4), 1102-1107.
Rao, S. K. (2021). Data-driven Business Model Innovation for 6G. Journal of ICT Standardization, 405–426-405–426.
Rauch, M., Wenzel, M., & Wagner, H.-T. (2016). The digital disruption of strategic paths: an experimental study. Page 32/38
Rodríguez-Espíndola, O., Chowdhury, S., Beltagui, A., & Albores, P. (2020). The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing. International Journal of Production Research, 58(15), 4610-4630.
Roth, S. (2018). The cash is in the medium, not in the machine: toward the golden moments of 3D printing. International Journal of Manufacturing Technology and Management, 32(1), 5-15.
Roy, M., & Roy, A. (2019). Nexus of internet of things (IoT) and big data: roadmap for smart management systems (SMgS). IEEE Engineering Management Review, 47(2), 53-65.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117- 2135.
Sadri, H., Yitmen, I., Tagliabue, L. C., Westphal, F., Tezel, A., Taheri, A., & Sibenik, G. (2023). Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review. Sustainability, 15(4), 3713
Santoro, G., Vrontis, D., Thrassou, A., & Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347-354.
Schmidt, G. M., & Druehl, C. T. (2008). When is a disruptive innovation disruptive? Journal of product innovation management, 25(4), 347-369.
Schmidthuber, L., Maresch, D., & Ginner, M. (2020). Disruptive technologies and abundance in the service sector-toward a refined technology acceptance model. Technological Forecasting and Social Change, 155, 119328. 92. Selçuk, A. A. (2019). A guide for systematic reviews: PRISMA. Turkish archives of otorhinolaryngology, 57(1), 57.
