13th Annual International Conference on Industrial Engineering and Operations Management

Analysis Adoption of Information Technology Using the UTAUT Method on Off-taker Poultry Farmers in Indonesia

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Track: Information Technology/Information Systems
Abstract

The impact of advances in information technology is beginning to be felt in all walks of life, particularly in livestock farming. Information technology, in conjunction with recent changes in the form of efficient and effective use and application of information technology, is a strategic solution for livestock problems. One of the livestock industries that meets market demand for animal protein is poultry farming. Poultry farms produce a significant amount of meat, with broiler chickens accounting for 67%, native/local chickens accounting for 23%, and other types of poultry accounting for the remaining meat. Because not all poultry farmer offtakers in Bali use information technology to manage their business processes, breeder business management is ineffective and inefficient. The goal of this study was to determine the interest and behavior of poultry farmer offtakers in Bali in adopting information technology in the form of PT XYZ's Agree application. The Unified Theory of Acceptance and Use of Technology (UTAUT) Framework was used as the research method in this study. Questionnaires were distributed to respondents in five Bali districts to collect research data. For data management, the partial least squares structural equation model is used. According to the study's findings, performance expectancy has a positive and significant influence on behavioral intention. Facilitating conditions and behavioral intention have a positive and significant influence on use behavior. The availability of facilities and performance influencing poultry performance are the research's novelty and utility

Published in: 13th Annual International Conference on Industrial Engineering and Operations Management, Manila, Philipines

Publisher: IEOM Society International
Date of Conference: March 7-9, 2023

ISBN: 979-8-3507-0543-0
ISSN/E-ISSN: 2169-8767