Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption

This study investigates the potential of digital technologies to revolutionize trade facilitation and enhance export performance in Ethiopia. Addressing a critical gap in the literature, it moves beyond general assessments to analyze the adoption and application of blockchain, artificial intelligen...

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Main Author: Chekole Sete Demeke
Format: Article
Language:English
Published: IJMADA 2025-06-01
Series:International Journal of Management and Data Analytics
Subjects:
Online Access:https://ijmada.com/index.php/ijmada/article/view/85
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author Chekole Sete Demeke
author_facet Chekole Sete Demeke
author_sort Chekole Sete Demeke
collection DOAJ
description This study investigates the potential of digital technologies to revolutionize trade facilitation and enhance export performance in Ethiopia. Addressing a critical gap in the literature, it moves beyond general assessments to analyze the adoption and application of blockchain, artificial intelligence (AI), and the Internet of Things (IoT) within Ethiopia's trade sector. A mixed-methods approach, incorporating a survey of 255 trade stakeholders and 20 focus group interviews, identifies opportunities and challenges associated with digital transformation. Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. However, the research also addresses crucial concerns, including cybersecurity risks (87%), data privacy (75%), and potential shifts in employment (60%). Specifically, survey data revealed that only 10% of firms currently use AI, despite 67% recognizing its value for fraud detection. Qualitative analysis of interview transcripts highlighted concerns about the high cost and complexity of implementing blockchain solutions, as well as the need for clearer regulatory frameworks and multi-stakeholder cooperation. The findings inform actionable policy recommendations aimed at fostering a supportive digital trade ecosystem in Ethiopia, offering insights for other developing economies. Ultimately, this research aims to provide insights for management decision-making regarding technology adoption and strategic planning within the Ethiopian trade sector.
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spelling doaj-art-0e6db8e0c3b6423cba2d48e615d7cedd2025-08-20T02:32:10ZengIJMADAInternational Journal of Management and Data Analytics2816-93952025-06-0151Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT AdoptionChekole Sete Demeke0Yunnan University of Finance and Economics This study investigates the potential of digital technologies to revolutionize trade facilitation and enhance export performance in Ethiopia. Addressing a critical gap in the literature, it moves beyond general assessments to analyze the adoption and application of blockchain, artificial intelligence (AI), and the Internet of Things (IoT) within Ethiopia's trade sector. A mixed-methods approach, incorporating a survey of 255 trade stakeholders and 20 focus group interviews, identifies opportunities and challenges associated with digital transformation. Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. However, the research also addresses crucial concerns, including cybersecurity risks (87%), data privacy (75%), and potential shifts in employment (60%). Specifically, survey data revealed that only 10% of firms currently use AI, despite 67% recognizing its value for fraud detection. Qualitative analysis of interview transcripts highlighted concerns about the high cost and complexity of implementing blockchain solutions, as well as the need for clearer regulatory frameworks and multi-stakeholder cooperation. The findings inform actionable policy recommendations aimed at fostering a supportive digital trade ecosystem in Ethiopia, offering insights for other developing economies. Ultimately, this research aims to provide insights for management decision-making regarding technology adoption and strategic planning within the Ethiopian trade sector. https://ijmada.com/index.php/ijmada/article/view/85Digital Technologies, Trade Facilitation, Export Competitiveness, Technology Adoption, and Ethiopia
spellingShingle Chekole Sete Demeke
Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
International Journal of Management and Data Analytics
Digital Technologies, Trade Facilitation, Export Competitiveness, Technology Adoption, and Ethiopia
title Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
title_full Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
title_fullStr Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
title_full_unstemmed Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
title_short Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption
title_sort digital technologies and trade facilitation in ethiopia a mixed methods analysis of blockchain ai and iot adoption
topic Digital Technologies, Trade Facilitation, Export Competitiveness, Technology Adoption, and Ethiopia
url https://ijmada.com/index.php/ijmada/article/view/85
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