Analyzing Software Adoption in Enterprises: A Survey of Frameworks and Metrics
Abstract
The implementation and user acceptance of a system are no longer the only factors influencing enterprise software adoption. These are usability, integration, maintenance, security, and alignment with organizational goals of software products. This paper investigates the most important concepts and metrics used to estimate software adoption in enterprises. Apart from metrics of software adoption related to usage behavior, user experience, software quality, performance, security, reliability, resource efficiency, and organizational value, the literature review comprises adoption models that are empirically proved. According to the results, most of the studies that have been conducted have focused on behavioral intention or particular adoption scenarios, and the technological, business, security, and sustainability aspects have been examined separately. Organizations’ capacity to evaluate the overall efficacy and long-term success of software deployment is hampered by this fragmented viewpoint. As a result, the report emphasizes the necessity of an integrated assessment approach that incorporates organizational, commercial, technical, behavioral, and sustainability aspects. The study highlights research potential for creating thorough metrics and frameworks that might assist evidence-based assessment of corporate software adoption, as well as important shortcomings in current methods.
Keywords
References
Most read articles by the same author(s)
- Prof. Michael T. Edwards, ENHANCING AI-CYBERSECURITY EDUCATION: DEVELOPMENT OF AN AI-BASED CYBERHARASSMENT DETECTION LABORATORY EXERCISE , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Faisal Al-Harbi, Noor Al-Qahtani, Intelligent Machine Learning Frameworks for Health Data Analytics: Emerging Trends and Future Research Opportunities , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 10 (2026): Volume 03 Issue 10
- Olabayoji Oluwatofunmi Oladepo., Opeyemi Eebru Alao, EXPLAINABLE MACHINE LEARNING FOR FINANCIAL ANALYSIS , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 07 (2025): Volume 02 Issue 07
- Dr. Liu Wei, Zhang Yiming, Chen Xiaorui, E-COMMERCE RECOMMENDATIONS THROUGH GEOGRAPHIC CONTEXT AND POPULATION CHARACTERISTICS , International Journal of Advanced Artificial Intelligence Research: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Haruto Nakamura, Dr. Yui Takahashi, A Deep Unsupervised Artificial Intelligence Model for Automated Prostate Cancer Prediction Through Latent Pattern Discovery and Clinical Data Analysis , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Olabayoji Oluwatofunmi Oladepo., Explainable Artificial Intelligence in Socio-Technical Contexts: Addressing Bias, Trust, and Interpretability for Responsible Deployment , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Haruto Nakamura, Dr. Yui Takahashi, A Novel Cuckoo Search–Driven Tabu Search Approach for Efficient Global Optimization and Complex Search Space Exploration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Suprajyotsna Dasari , Automated Testing Techniques for Enterprise Software Systems with GenAI Integration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Serhii Yakhin, Comparative Review of Clean Architecture and Vertical Slice Architecture Approaches for Enterprise .NET Applications , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Mohammed Arbaaz Shareef , Data Architecture Maturity as A Predictor of Enterprise AI Success in Regulated Industries , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Kwame Asare, AI-Powered Predictive Exception Management and Supply Network Coordination in SAP S/4HANA Manufacturing , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 10 (2026): Volume 03 Issue 10
- Hoang Thanh Nam, Next-Generation Test Automation: Integrating Artificial Intelligence with Software Quality Engineering , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Marko Petrovic, Intelligent Failure Prediction Techniques for Modern Electricity Distribution Infrastructure , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Sri Charan Chowdary Konidina, An Analytical Study of Behavior-Aware Retrieval-Augmented Generation Frameworks in Enterprise Software Ecosystems for Optimizing User Navigation and Decision Support , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Jeyakumar Ramachandran, Confidential AI Cloud Architecture for Secure Enterprise Data Processing and Intelligent Workloads , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Mohammed Imran Choudhary, AI-Augmented Network-Forensics: Leveraging LLMs for Real-Time Threat Detection and Automated Response in Enterprise Environments , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Michael Andersson, Optimizing Continuous Schema Evolution and Zero-Downtime Microservices in Enterprise Data Architectures , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.