The Thai government has been attempting to move the country out of the middle-income trap through digital economy strategies. Among these strategies, digital innovation is the most central. Leveraging digital capabilities in the agriculture industry, a sector that a large number of low-income farmers work in, conveys digital innovations to farmers. Digital innovation is expected to increase farmer incomes and ultimately help the country step out of the middle-income trap. This dissertation aimed to 1) identify the major challenges of digital economy transformation, 2) develop a model that explains digital agriculture innovations, 3) apply the model to real use cases of digital transformation, and 4) identify a set of lessons learned from the entire research model that can guide policymakers to leverage digital capabilities to advance the agriculture industry. The dissertation identified how digital capabilities might improve farmer welfare by using multiple case studies. Three cases were studied individually and then synthesized into a data model. The participants covered five groups of stakeholders: developers, government officers, mid-tier employees, user farmers, and non-user farmers. The findings provide a data model explaining the practices of digital agriculture innovations. Moreover, the results guide policymakers to invest in and implement digital strategies to advance the agriculture industry and help lift the middle-class economy. Digital policies, strategies, and investment programs can be implemented in the agriculture sector and applied to other industries such as automobile, healthcare, and tourism.
","abstract_html":"<p>The Thai government has been attempting to move the country out of the middle-income trap through digital economy strategies. Among these strategies, digital innovation is the most central. Leveraging digital capabilities in the agriculture industry, a sector that a large number of low-income farmers work in, conveys digital innovations to farmers. Digital innovation is expected to increase farmer incomes and ultimately help the country step out of the middle-income trap. This dissertation aimed to 1) identify the major challenges of digital economy transformation, 2) develop a model that explains digital agriculture innovations, 3) apply the model to real use cases of digital transformation, and 4) identify a set of lessons learned from the entire research model that can guide policymakers to leverage digital capabilities to advance the agriculture industry. The dissertation identified how digital capabilities might improve farmer welfare by using multiple case studies. Three cases were studied individually and then synthesized into a data model. The participants covered five groups of stakeholders: developers, government officers, mid-tier employees, user farmers, and non-user farmers. The findings provide a data model explaining the practices of digital agriculture innovations. Moreover, the results guide policymakers to invest in and implement digital strategies to advance the agriculture industry and help lift the middle-class economy. Digital policies, strategies, and investment programs can be implemented in the agriculture sector and applied to other industries such as automobile, healthcare, and tourism.</p>","abstract_has_math":false,"creators":["Suksa-ngiam, Watanyoo"],"institution":null,"degree_name":"Information Systems and Technology, PhD","degree_level":"Open Access Dissertation","degree_discipline":"Center for Information Systems and Technology","degree_department":null,"school":null,"contributors":["Lorne Olfman","Sonya Zhang","Pakdee Manaves"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-01-01T08:00:00Z","date_published":"2020-01-01T08:00:00Z","updated_at":"2026-07-24T01:40:28Z","subjects":["Agriculture","Digital Capabilities","Digital Economy","Digital Innovation","Digital Transformation","Thailand","Economics","Public Policy"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/611","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lorne Olfman","Sonya Zhang","Pakdee Manaves"]},{"key":"dc:creator","label":"Author","values":["Suksa-ngiam, Watanyoo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-12-01T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Center for Information Systems and Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Information Systems and Technology, PhD"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Agriculture","Digital Capabilities","Digital Economy","Digital Innovation","Digital Transformation","Thailand","Economics","Public Policy"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/611"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The Thai government has been attempting to move the country out of the middle-income trap through digital economy strategies. Among these strategies, digital innovation is the most central. Leveraging digital capabilities in the agriculture industry, a sector that a large number of low-income farmers work in, conveys digital innovations to farmers. Digital innovation is expected to increase farmer incomes and ultimately help the country step out of the middle-income trap. This dissertation aimed to 1) identify the major challenges of digital economy transformation, 2) develop a model that explains digital agriculture innovations, 3) apply the model to real use cases of digital transformation, and 4) identify a set of lessons learned from the entire research model that can guide policymakers to leverage digital capabilities to advance the agriculture industry. The dissertation identified how digital capabilities might improve farmer welfare by using multiple case studies. Three cases were studied individually and then synthesized into a data model. The participants covered five groups of stakeholders: developers, government officers, mid-tier employees, user farmers, and non-user farmers. The findings provide a data model explaining the practices of digital agriculture innovations. Moreover, the results guide policymakers to invest in and implement digital strategies to advance the agriculture industry and help lift the middle-class economy. Digital policies, strategies, and investment programs can be implemented in the agriculture sector and applied to other industries such as automobile, healthcare, and tourism.
"]},{"key":"dc:title","label":"Title","values":["Thailand’s Digital Economy Transformation: Rectifying the Middle-Income Trap by Leveraging Digital Capabilities in the Agriculture Industry"]}]}],"canonical_facts":{"dc:contributor":["Lorne Olfman","Sonya Zhang","Pakdee Manaves"],"dc:creator":["Suksa-ngiam, Watanyoo"],"dc:date.available":["2023-12-01T08:00:00Z"],"dc:description.abstract":["The Thai government has been attempting to move the country out of the middle-income trap through digital economy strategies. Among these strategies, digital innovation is the most central. Leveraging digital capabilities in the agriculture industry, a sector that a large number of low-income farmers work in, conveys digital innovations to farmers. Digital innovation is expected to increase farmer incomes and ultimately help the country step out of the middle-income trap. This dissertation aimed to 1) identify the major challenges of digital economy transformation, 2) develop a model that explains digital agriculture innovations, 3) apply the model to real use cases of digital transformation, and 4) identify a set of lessons learned from the entire research model that can guide policymakers to leverage digital capabilities to advance the agriculture industry. The dissertation identified how digital capabilities might improve farmer welfare by using multiple case studies. Three cases were studied individually and then synthesized into a data model. The participants covered five groups of stakeholders: developers, government officers, mid-tier employees, user farmers, and non-user farmers. The findings provide a data model explaining the practices of digital agriculture innovations. Moreover, the results guide policymakers to invest in and implement digital strategies to advance the agriculture industry and help lift the middle-class economy. Digital policies, strategies, and investment programs can be implemented in the agriculture sector and applied to other industries such as automobile, healthcare, and tourism.
"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/611"],"dc:subject":["Agriculture","Digital Capabilities","Digital Economy","Digital Innovation","Digital Transformation","Thailand","Economics","Public Policy"],"dc:title":["Thailand’s Digital Economy Transformation: Rectifying the Middle-Income Trap by Leveraging Digital Capabilities in the Agriculture Industry"],"thesis:degree_discipline":["Center for Information Systems and Technology"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Information Systems and Technology, PhD"]},"updated_at":"2026-07-24T01:40:28Z"}