Information Technology for Smart Business
A. V. Karthick, S. Balasubramanian, ,
International Journal of Computational and Electronic Aspects in Engineering
Volume 4: Issue 3, July-September 2023, pp 78-85
Author's Information
A. V. Karthick 1
Corresponding Author
1Department of Computational Logistics, Alagappa University, Karaikudi, India
avkarthick@gmail.com
S. Balasubramanian2
2Department of Computational Logistics, Alagappa University, Karaikudi, India
Abstract:-
A completely automated production system equipped with cutting-edge digital technologies is referred to as a smart business. Its emergence is viewed in many studies as the beginning of a new wave of production innovation. Smart business use a combination of physical and cyber technologies. As more and more objects acquire intelligence, scientists and engineers work to create not only cutting-edge technology but also smarter homes, factories, and even cities. The fourth industrial revolution that current design of the digital factory makes it necessary to construct the smart business in order to making the associated technologies through technology and deep integration of previously independent discrete systems. Despite the recent sharpening of conceptions, it is challenging for industrial companies to build a clear. Within the maze of varying terminology, thoughts and ideas, design a strategic roadmap. This study discusses the smart business in order to provide both researchers and practitioners with more clarity and to consolidate the prior findings. Reduced human operator involvement and an emphasis on automation systems are the main goals of Industry 4.0. However, this goal has shifted in Industry 5.0, which attempts to maintain a balance while maximizing advantages from human-machine interaction. The goal of Industry 5.0 is to improve the relationship between people's inherent productivity and ever-more-powerful machinery.Index Terms:-
technology, smart, business, industryREFERENCES
- Choi Kwang Hun and Gyu Hyun Kwon. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business." Technological Forecasting and Social Change 187 (2023): 122210.
Crossref - Zhang, Chang, et al. "Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E- Commerce." International Journal of e-Collaboration (IJeC) 19.7 (2023): 1-19.
Crossref - Wang, Shiyong, et al. "Towards smart factory for industry 4.0: a self- organized multi-agent system with big data based feedback and coordination." Computer networks 101 (2016): 158-168.
Crossref - Maddikunta, Praveen Kumar Reddy, et al. "Industry 5.0: A survey on enabling technologies and potential applications." Journal of Industrial Information Integration 26 (2022): 100257.
Crossref - Jung, Sungwook, Donghee Kim, and Nina Shin. "Success Factors of the Adoption of Smart Factory Transformation: An Examination of Korean Manufacturing SMEs." IEEE Access 11 (2023): 2239-2249.
Crossref - Kyaw, Khin Sandar, et al. "Business Intelligent Framework Using Sentiment Analysis for Smart Digital Marketing in the E-Commerce Era." Asia Social Issues 16.3 (2023): e252965-e252965.
Crossref - Zeb, Shah, et al. "Industrial digital twins at the nexus of nextG wireless networks and computational intelligence: A survey." Journal of Network and Computer Applications (2022): 103309.
Crossref - Alsudani Mustafa Qahtan, et al. "Smart logistics with IoT-based enterprise management system using global manufacturing." Journal of Combinatorial Optimization 45.2 (2023): 57.
Crossref - Martínez Martínez, Adriana. "From “Smart Company” to “Smart Business”: Implementation of Industry 4.0 Strategy Carried Out by GKN Mexico." Digital and Sustainable Transformations in a Post- COVID World: Economic, Social, and Environmental Challenges. Cham: Springer International Publishing, 2023. 191-210.
Crossref - Mirza Golam Kibria Kien Nguyen, Gabriel Porto Villardi, Ou Zhao, Kentaro Ishizu and Fumihide Kojima, “Big Data Analytics - Machine Learning and Artificial Intelligence in Next Generation Wireless Networks”, IEEE, pp. 1-9, 2018.
Crossref - Divyakant Agrawal, Sudipto Das, Amrel Abbadi, “Big Data and Cloud Computing: Current State and Future Opportunities”, ACM - EDBT, pp. 530-533, 2011.
Crossref - Javaid, Mohd, et al. "Artificial intelligence applications for industry 4.0: A literature-based study." Journal of Industrial Integration and Management 7.01 (2022): 83-111.
Crossref - Cui, Qinghong, et al. "Smart Mega-City Development in Practice: A Case of Shanghai, China." Sustainability 15.2 (2023): 1591.
Crossref
To view full paper, Download here
To View Full Paper
For authors
Author's guidelines Publication Ethics Publication Policies Artical Processing Charges Call for paper Frequently Asked Questions(FAQS) View All Volumes and IssuesPublishing with



