Assessing farmers' adoption and continuance intention to use a mobile app for agrometeorological forecasts and advisories : (Record no. 8777)

MARC details
000 -LEADER
fixed length control field 03962nas a2200373 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163432.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250916s20259999th u ms t 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12464466
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.AB-25-03
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Auxtero, Kathleen Mae Anino
245 10 - TITLE STATEMENT
Title Assessing farmers' adoption and continuance intention to use a mobile app for agrometeorological forecasts and advisories :
Remainder of title insights from Thailand and Vietnam
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent 118 leaves :
Other physical details ill. +
Accompanying material 1online resource
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. AB-25-03
500 ## - GENERAL NOTE
General note A Thesis submitted in partial fulfillment of the requirements for the degree of Master of Agribusiness Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Am.) - Asian Institute of Technology, 2025
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Agricultural applications
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mobile apps
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Crops and climate
Geographic subdivision Mekong River Region
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Himanshu, Sushil Kumar,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yaseen, Muhammad,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pramanik, Malay,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Her Majesty the Queen{u2019}s Scholarship (Thailand),
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. AB-25-03
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22764">http://203.159.5.9/ait-thesis/detail.php?q=B22764</a>
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a .b12464466
b mnarc
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a 251218
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 250917
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2025-09-16
RECORD Id RECORD # : i13557749
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Thesis no.AB-25-03 17/08/2026 1 17/08/2026 67-Electronic Resource
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