Open Access Policy

Open Access Statement

Journal of Advanced Engineering Technology and Management (JAETM) follows an Open Access model. We believe in and strive for the unrestricted sharing of knowledge with the sole goal of alleviating scientific discovery and strengthening innovation. All the research articles published on JAETM are freely accessible without any subscription or paywall.  Zero charges. Authors do not pay any article processing charge. Article Processing Charge: Zero 

All articles are published under a Creative Commons (CC) license, allowing readers to read, download, copy, distribute, print, search, or link to full-text articles without financial, legal, or technical barriers.

Licensing and Copyright

To ensure global accessibility and reuse of published work, the journal applies the following Creative Commons (CC) license to all articles:

CC BY 4.0 (Attribution License)

Allows: Unrestricted distribution, adaptation, and reuse as long as proper credit is given to the original authors.

"This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt the material with proper attribution."

Learn more about CC By 4.0 

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Other Articles In This Issue

AI In HRM: New Perspectives, and Challenges Ahead

Volume: 1 Issue: 01 | Feb-2025 Article | Open Access | Published: 21 February 2025 AI In HRM: New Perspectives, and Challenges Ahead Marshall Elan Independent Researcher Abstract AI-driven HRM is fast emerging as an innovative technology solution, providing businesses with new opportunities to optimize their human resources and interrelated management operations more effectively. It impacts almost all business sectors and industries, IT and non-IT enterprises, operating in the digital world. Though it offers myriad benefits, there are challenges that businesses need to tackle to successfully integrate and use AI technology in their HR business processes. This paper provides insights into HRM paired with modern Artificial Intelligence (AI) practices, and how firms can utilize AI in HRM to compete and overcome a host of human resources problems and ultimately propel their organization to new levels of success. It compares and contrasts the past, the present, and the future perspe...
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AI’s Next Leap In Redefining Enterprise Software Development: From Past to Future Possibilities

Volume: 1 Issue: 01 | Feb-2025 Article  |  Open Access  |  Published: 21 February 2025 AI’s Next Leap In Redefining Enterprise Software Development: From Past to Future Possibilities Syed Younus Abstract Software Development as a field is exponentially growing. It is deemed essential to innovate and lead. Though technologies from time to time have greatly impacted the development methodologies, it is AI now that has ushered software development into a new era of possibilities. It truly has helped with optimizing the SDLC (Software Development Lifecycles), but there are myriad challenges that its integration into software engineering entails. AI tools are fast transforming the ways the codes are written, generated, improved, optimized, reviewed, debugged, and managed. From saving time that often goes into carrying out repetitive tasks to analyzing or testing code, AI tools have made almost all things simple. NLP (Natural Language Processing) is one of the best core fe...
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Announcements: Submit Your Manuscript Now!

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Submit Your Manuscript Submit Your Manuscript Now!   Electronic Submissions should be sent in a Word file with PDF directly to the team at JAETM: info@jaetm.com.  Each submission should contain both blinded and unblended versions of the manuscript. JAETM is now accepting submissions for publications. We primarily publish research papers, but authors, researchers, and institutions are also welcome to submit case studies, short and long reviews, reports, letters, etc.  JAETM is a fully peer-reviewed, and open-access journal. Learn more about Author Guidelines .  The scope of JAETM is vast. Topics that are encouraged for submission are (but not exclusively): Computer Science  Big Data  Data Science Artificial Intelligence Information Systems Machine Learning IT Infrastructure IT Management Software Development Cybersecurity Digital Transformation Technology, Innovation, Strategy Software Engineering, Product Management Cloud Computing and Management Tech...
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Volume: 1 Issue: 01 | Feb-2025

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Volume: 1 Issue: 01 | Feb-2025 List of Articles | Open Access | Published: 21 February 2025 First Article AI In HRM: New Perspectives, and Challenges Ahead Author: Marshall Elan Second Article AI’s Next Leap In Redefining Enterprise Software Development: From Past to Future Possibilities Author: Syed Younus Third Article Project Management: A Study On Tackling Grand Challenges With Innovation in Technology Authors: Ahmed Quroshi, Sunil Medepalli Fourth Article ChatGPT: A Comprehensive Review on Current Perspectives and Future Directions   Author: Anil Srivastava  Fifth Article Role of Big Data in Business Transformation: New Perspectives and Challenges Ahead  Author: Mohammed Ismail "This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt the material with proper attribution."
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Project Management: A Study On Tackling Grand Challenges With Innovation in Technology

Volume: 1 Issue: 01 | Feb-2025 Article | Open Access | Published: 21 February 2025 Project Management: A Study On Tackling Grand Challenges With Innovation in Technology Ahmed Quroshi, Sunil Medepalli Abstract  Effective project management is a key to success in any type of project, no matter how small or big a project is. Due to intelligence, a flawless strategy, and a right approach matter a lot. This research paper provides an overview of project management and its role in diverse fields from IT to engineering. It provides insights into innovation in technology and its use to propel projects to success.  The paper along with addressing challenges limitations, and future scope, offers insights and possible solutions to improve project outcomes.  Download Full Article Introduction  Project Management plays a critical role in the execution and management of projects across all industries (Iriogbe et al., 2024). The leaders and the authoritative teams working on the p...
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Role of Big Data in Business Transformation: New Perspectives and Challenges Ahead

  Volume: 1 Issue: 01 | Feb-2025 Article | Open Access | Published: 21 February 2025 Role of Big Data in Business Transformation: New Perspectives and Challenges Ahead  Mohammed Ismail Abstract  Big data as a frontier technology is fast growing, impacting almost all business operations. Small and big businesses employ it for improvement in business operations. This paper provides a view of the role of big data in the modern business world and how enterprises use it to optimize their processes and reach their goals. It also discusses some of the core problems businesses encounter in effectively implementing and integrating this technology into their operations. It concludes with trends, possible future, and solutions that could come in handy to enhance operational efficiency and results.  Download Full Article Introduction Big data as a technology is growing exponentially. It refers to large and complex, structured and unstructured, refined and unrefined datasets. Var...
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ChatGPT: A Comprehensive Review on Current Perspectives and Future Directions

Volume: 1 Issue: 01 | Feb-2025 Article | Open Access | Published: 21 February 2025 ChatGPT: A Comprehensive Review on Current Perspectives and Future Directions   Anil Srivastava    Abstract  ChatGPT made it big in a short period. According to numerous reports, it gained immense popularity due to its breakthrough in large language modeling. In the field of AI, it is considered a unique model that also has propelled other technology companies to come up with similar kinds of tools that could solve problems with natural language conversations. This paper presents a brief history of ChatGPT and how it made its name in the field of AI. It also discusses the complex science behind supervised learning, data training, and its functionality, accompanied by a review of existing and growing literature. This article aggregates all available literature on this topic and provides possible solutions that could help with improving the outcome of this large language model. Ther...
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