The sucess factors in the adoption of Enterprise Resource Planning (ERP) for the Thai agricultural business: a study of Thai rice mill business
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2022
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2565
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eng
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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National Institute of Development Administration. Library and Information Center
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Chalett Vichinrojjarul (2022). The sucess factors in the adoption of Enterprise Resource Planning (ERP) for the Thai agricultural business: a study of Thai rice mill business. Retrieved from: https://repository.nida.ac.th/handle/662723737/5614.
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The sucess factors in the adoption of Enterprise Resource Planning (ERP) for the Thai agricultural business: a study of Thai rice mill business
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Abstract
Enterprise Resource Planning (ERP) has been globally and long-lastingly using in the several industries, especially under Industry 4.0; the era of industrial revolution, which seriously concentrates on interconnectivity, automation, machine learning, and real-time data. Currently, several industries in Thailand have been persuaded by “Thailand 4.0 scheme” under the12th National Development Program as National Economic Development Program (12th NESDPs) that developing principles require disruptive changes in all industries by the science and technology deployments. Thai agricultural business, which is one of the backbone industries of Thai economy and accounted for approximately 20% of the population also requires the disruptive changes. However, the agricultural business as a whole is a large-scale business and comprises of high business varieties. In addition, an existing of ERP implementation paradigm is not yet available. For avoiding an analytical error caused by sizes and variety of the agricultural business, a single specific agricultural area needs to be chosen. The rice mill business, which is a traditional Thai agricultural business and has a rigid business network across the country is primarily taken into account as a delegate of Thai agricultural business for the study. Therefore, this study proposes to determine success factors for enabling use of the ERP in the rice mill business. Three antecedents; the Government Support (GOV), Business Process Re-Engineering (BPR) and ERP Training (TRA) will aim to discover influential impacts to toward four motivational constructs grounded form Technology Acceptance model (TAM); Perceived Ease of Use (PEOU), Perceived Usefulness (PU) and Intention to Use ERP (IU) and Behavioral Use of ERP (BU). Once, the success factors for enabling use of the ERP are successfully verified, this study could also address the ERP adoption paradigm, giving a suggestion on how agricultural business should adjust themselves to make the ERP usable in their ERP adoption and providing a prerequisite recommendation for policy makers respectively.
A questionnaire survey is conducted by using only telephone interview to verify all proposed relationships among constructs. Data analysis tests the conceptual models by establish the validity tests of variables and all proposed hypothesis is tested by a deployment of statistic software program. Path analysis is primarily applied for a verification the model fit. For the study results, the rice mill business currently has no the ERP implementation experience, therefore the Behavioral Use of ERP can not be measured. According to a scarcity of the ERP experience, the Government Support is the most decisive actor to enabling an intention of the ERP program. The Government Support can lead the rice mill into having the Business Process Re-Engineering and conduction the ERP Training prior to create the Perceived Usefulness and the Intention to Use ERP program respectively. In addition, the Business Process Re-Engineering and conduction the ERP Training will not only influence the Intention to Use ERP program through the Perceived Usefulness, but those factors can also have a direct positive impact to the Intention to Use ERP program. Alternatively, ERP expert is highly required as alternative player assisting to achieve the ERP adoption for this business scenario.
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Thesis (Ph.D. (Management))--National Institute of Development Administration, 2020