Internet of Things and Blockchain Revolutionary Integration in the Business and Financial Sector

Authors

  • Karu Lal Integration Engineer, Ohio National Financial Services, USA
  • Upendar Rao Thaduri ACE Developer, iMINDS Technology Systems, Inc., Pittsburgh, PA 15243, USA
  • Sreekanth Dekkati Assistant Vice President (System Administrator), MUFG Bank, Arizona, USA

DOI:

https://doi.org/10.18034/abr.v12i3.664

Keywords:

Internet of Things (IoT), Blockchain, Business Process Management (BPM), Financial Sector

Abstract

Many applications of the Internet of Things have been developed, and these applications are causing people's lifestyles to shift. The Internet of Things (IoT) finance refers to the various applications of the Internet of Things that have the potential to extend financial services throughout the entirety of the IoT commodities transaction, subvert traditional finance & Internet finance services, and make the financial business processes more intelligent, transparent, and accurate. This article presents the design and implementation of a financial management platform based on combining blockchain technology with supply chain logistics. Supply chain finance is integrated using blockchain technology to synchronize the system of bank account payments, achieve the automatic flow of funds, process supervision, and automatically settle account periods based on smart contracts. Therefore, this research paper aims to discuss the function of blockchain technology within the Internet of Things (IoT) and financial applications. These two domains stand to benefit the most from its implementation. In addition, this study investigates the concerns regarding privacy and security associated with it and offers some thoughts regarding how these issues can be addressed. In the final step of this process, the public perception of blockchain technology addresses how various parts of society view blockchain technology.

Downloads

Download data is not yet available.

References

Amin, R., & Mandapuram, M. (2021). CMS - Intelligent Machine Translation with Adaptation and AI. ABC Journal of Advanced Research, 10(2), 199-206. https://doi.org/10.18034/abcjar.v10i2.693

Ballamudi, V. K. R., Lal, K., Desamsetti, H., & Dekkati, S. (2021). Getting Started Modern Web Development with Next.js: An Indispensable React Framework. Digitalization & Sustainability Review, 1(1), 1–11. https://upright.pub/index.php/dsr/article/view/83

Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?. Asian Journal of Applied Science and Engineering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12

Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2021). Algorithm Policy for the Authentication of Indirect Fingerprints Used in Cloud Computing. American Journal of Trade and Policy, 8(3), 231–238. https://doi.org/10.18034/ajtp.v8i3.651

Chang, C., Srirama, S. N. and Buyya, R. (2017). Mobile Cloud business process management system for the Internet of things: a survey. ACM Computing Surveys, 49(4), 70.

Chen, S., Thaduri, U. R., & Ballamudi, V. K. R. (2019). Front-End Development in React: An Overview. Engineering International, 7(2), 117–126. https://doi.org/10.18034/ei.v7i2.662

Da Xu, L. (2011). Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4), 630-640.

Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. https://upright.pub/index.php/tmr/article/view/78

Dekkati, S., Lal, K., & Desamsetti, H. (2019). React Native for Android: Cross-Platform Mobile Application Development. Global Disclosure of Economics and Business, 8(2), 153-164. https://doi.org/10.18034/gdeb.v8i2.696

Deming, C., Dekkati, S., & Desamsetti, H. (2018). Exploratory Data Analysis and Visualization for Business Analytics. Asian Journal of Applied Science and Engineering, 7(1), 93–100. https://doi.org/10.18034/ajase.v7i1.53

Desamsetti, H. (2016a). A Fused Homomorphic Encryption Technique to Increase Secure Data Storage in Cloud Based Systems. The International Journal of Science & Technology, 4(10), 151-155.

Desamsetti, H. (2016b). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.

Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661

Gutlapalli, S. S. (2016). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653

Gutlapalli, S. S. (2017a). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14

Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. https://4ajournal.com/article/view/77

Gutlapalli, S. S., Mandapuram, M., Reddy, M., & Bodepudi, A. (2019). Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks. Malaysian Journal of Medical and Biological Research, 6(2), 143–150. https://mjmbr.my/index.php/mjmbr/article/view/661

Lal, K. (2015). How Does Cloud Infrastructure Work?. Asia Pacific Journal of Energy and Environment, 2(2), 61-64. https://doi.org/10.18034/apjee.v2i2.697

Lal, K. (2016). Impact of Multi-Cloud Infrastructure on Business Organizations to Use Cloud Platforms to Fulfill Their Cloud Needs. American Journal of Trade and Policy, 3(3), 121–126. https://doi.org/10.18034/ajtp.v3i3.663

Lal, K., & Ballamudi, V. K. R. (2017). Unlock Data’s Full Potential with Segment: A Cloud Data Integration Approach. Technology & Management Review, 2(1), 6–12. https://upright.pub/index.php/tmr/article/view/80

Lal, K., Ballamudi, V. K. R., & Thaduri, U. R. (2018). Exploiting the Potential of Artificial Intelligence in Decision Support Systems. ABC Journal of Advanced Research, 7(2), 131-138. https://doi.org/10.18034/abcjar.v7i2.695

Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650

Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650

Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657

Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659

Mandapuram, M., Gutlapalli, S. S., Reddy, M., Bodepudi, A. (2020). Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation. Global Disclosure of Economics and Business 9(2), 141–150. https://doi.org/10.18034/gdeb.v9i2.662

Reddy, M., Bodepudi, A., Mandapuram, M., & Gutlapalli, S. S. (2020). Face Detection and Recognition Techniques through the Cloud Network: An Exploratory Study. ABC Journal of Advanced Research, 9(2), 103–114. https://doi.org/10.18034/abcjar.v9i2.660

Thaduri, U. R., & Lal, K. (2020). Making a Dynamic Website: A Simple JavaScript Guide. Technology & Management Review, 5, 15–27. https://upright.pub/index.php/tmr/article/view/81

Thaduri, U. R., Ballamudi, V. K. R., Dekkati, S., & Mandapuram, M. (2016). Making the Cloud Adoption Decisions: Gaining Advantages from Taking an Integrated Approach. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 11–16. https://upright.pub/index.php/ijrstp/article/view/77

Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. Technology & Management Review, 3(1), 7–11.

Viriyasitavat, W., Da Xu, L., Bi, Z. and Sapsomboon, A. (2018). Blockchainbased business process management (BPM) framework for service composition in industry 4.0. Journal of Intelligent Manufacturing, 2018(1), 1-12.

Wu, M., Wang, K., Cai, X., Guo, S., Guo, M., & Rong, C. (2019). A comprehensive survey of Blockchain: From theory to IoT applications and beyond. IEEE Internet of Things Journal, 6(5), 8114-8154. https://doi.org/10.1109/JIOT.2019.2922538

Yang, M. and Gabrielsson, P. (2017). Entrepreneurial marketing of international high-tech business-to-business new ventures: A decision-making process perspective. Industrial Marketing Management, 64, 147-160.

Zancul, E. d. S., Takey, S. M., Barquet, A. P. B., Kuwabara, L. H., Cauchick Miguel, P. A. and Rozenfeld, H. (2016). Business process support for IoT based product-service systems (PSS). Business Process Management Journal, 22(2), 305-323.

Downloads

Published

2022-12-31

How to Cite

Lal, K., Thaduri, U. R., & Dekkati, S. (2022). Internet of Things and Blockchain Revolutionary Integration in the Business and Financial Sector. Asian Business Review, 12(3), 81-88. https://doi.org/10.18034/abr.v12i3.664

Similar Articles

71-80 of 222

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)