The dissertation explores the adoption of AI in PM and SD are approached in the growing IT companies in Nepal. Although there is an acknowledgment that AI technologies can be used to boost productivity, make decisions and identify workflows more efficient, the implementation of the given technology in developing countries, including Nepal is rather uneven. Based on TAM and incorporating its constructs in their application, including the organizational support, ease of use, and security concerns, the study investigates the perceived usefulness, ease of use, and readiness of the situation concerning the AI implementation by IT professionals in Nepal. A mixed-methods approach was used, which focused on utilizing both the quantitative and quantitative results of the survey of 325 respondents as well as the qualitative data about the industry by interviewing experts in that domain. The evidence indicates that the attitude toward AI in terms of potential benefits is rather positive, still, there are still considerable obstacles: the unavailability of proper infrastructure, the absence of special knowledge, legal gaps, and internal insistence. Moreover, privacy and ethical concerns further complicated implementation. Despite all these difficulties, there are indicators of efficiency, speed of project completion, and innovation within early AI adopters. This paper finishes by making conception of policy suggestions and strategic guidelines that would be necessary in the implementation of sustainable and sensitive AI incorporation in Nepal IT sector with a focus on institutional alignment, capacity-building, and local adaptation models.
- Quote paper
- Pratyush Maharjan (Author), R. N. Thakur (Author), 2025, Adoption of AI in Project Management and Software Development in Growing IT Companies in Nepal, Munich, GRIN Verlag, https://www.grin.com/document/1737711
