03962nas a2200373 a 4500 20260817163432.0 250916s20259999th u ms t 000 eng d .b12464466 AIT Thesis no.AB-25-03 Auxtero, Kathleen Mae Anino Assessing farmers' adoption and continuance intention to use a mobile app for agrometeorological forecasts and advisories : insights from Thailand and Vietnam Pathum Thani, Thailand : Asian Institute of Technology, 2025 118 leaves : ill. + 1online resource Thesis ; no. AB-25-03 A Thesis submitted in partial fulfillment of the requirements for the degree of Master of Agribusiness Management Thesis (M. Am.) - Asian Institute of Technology, 2025 The agriculture industry in the Greater Mekong Subregion (GMS) is highly vulnerable to climate variability, making timely and localized weather information critical for informed farm decision-making. In response to this need, a mobile application called ClimaFarm, a digital tool that provides agrometeorological information and agronomic advisories to farmers, was developed. This study then explores smallholder farmers' adoption, usage behavior, and continued use of the ClimaFarm app in Nakhon Phanom, Thailand, and Can Tho, Vietnam. Additionally, the experienced benefits, challenges, and opportunities linked with the app use were also identified. Partial Least Squares Structural Equation Modeling (PLS-SEM) and Binary Logistic Regression (BLR) were used to analyze adoption behavior, while continued use was assessed through an adapted Technology Continuance Theory (TCT) model using PLS-SEM analysis. Findings from 168 respondents revealed that most farmers found the app useful, convenient, and supportive in weather-based decision-making, particularly for planting, irrigation, and fertilizer and pest management. Perceived usefulness (Ý=0.261, p<0.01), trust (Ý=0.280, p<0.1), satisfaction (Ý=0.251, p<0.05), and attitude (Ý=0.247, p<0.05) were significant behavior-specific predictors of continued use, while social influence (Ý=-0.581, p<0.01), and perceived usefulness (Ý=0.440, p<0.1) influenced adoption. Furthermore, socio-demographic factors such as farming experience (Ý=-0.037, p<0.05) and household income (Ý=-0.161, p<0.05) also influenced adoption and continued use, respectively. Key challenges reported included app interface and language difficulties, limited forecast accuracy, and internet connectivity issues. Despite these barriers, the majority of farmers reported positive early impacts, with 85% willing to recommend the app to others. The study offers theoretical contributions to understanding the adoption of digital tools in agriculture and delivers practical advice for app developers, policymakers, and extension providers. It emphasizes the significance of a user-centered design, reliable content, and inclusive implementation strategies in scaling mobile advisory tools for climate-smart agriculture in the GMS. Agricultural applications Mobile apps Crops and climate Mekong River Region Himanshu, Sushil Kumar, Chairperson Yaseen, Muhammad, Examination Committee Pramanik, Malay, Examination Committee Her Majesty the Queen{u2019}s Scholarship (Thailand), Scholarship Donor Asian Institute of Technology. Thesis ; no. AB-25-03 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B22764 .b12464466 mnarc a 251218 0 250917 m h a 0 mnarc 67 Barcode : - CREATED : 2025-09-16 RECORD # : i13557749 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 8777 8777 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.AB-25-03 2026-08-17 16:34:32 1 2026-08-17 67