Optimization of Branding and Value Chain Mapping Using Artificial Intelligence for the Batik Village Clusters in Indonesia to Achieve Competitive Advantage

This research investigates the role of artificial intelligence (AI) in optimizing branding and mapping value chains to strengthen the competitive advantage of Batik Village Clusters in Indonesia. Employing a quantitative approach, the study analyzes survey data from stakeholders in the batik industry, focusing on their perceptions of AI's impact on branding and value chain processes. The study reveals that AI has a significant positive impact on branding optimization (t-statistic = 29.249, p = 0.000) and value chain mapping (t-statistic = 15.066, p = 0.000). Additionally, both branding optimization (t-statistic = 8.621) and value chain mapping (t-statistic = 16.853) were found to positively affect the competitive advantage of batik clusters. These findings suggest that AI can enhance branding efforts, improve value chain efficiency, and elevate the competitive positioning of Batik Village Clusters. The study provides actionable recommendations for batik entrepreneurs and policymakers, emphasizing the need to incorporate AI technologies to improve global competitiveness and ensure long-term sustainability in the batik industry

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Publication Details

Journal
Data & Metadata
Published
2024-12-23
DOI
https://doi.org/10.56294/dm2024.620
Citations
8
Primary Topic
SMEs Development and Digital Marketing
Type
article
Field-Weighted Citation Impact
13.66
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article

Optimization of Branding and Value Chain Mapping Using Artificial Intelligence for the Batik Village Clusters in Indonesia to Achieve Competitive Advantage

Muslikh Muslikh, Endang Purwaningsih, Muhamad Fathurahman, Basrowi Basrowi
8 citations
Data & Metadata
SMEs Development and Digital Marketing
13.66
article

Optimization of Branding and Value Chain Mapping Using Artificial Intelligence for the Batik Village Clusters in Indonesia to Achieve Competitive Advantage

Muslikh Muslikh, Endang Purwaningsih, Muhamad Fathurahman, Basrowi Basrowi
article en
8 citations

Abstract

This research investigates the role of artificial intelligence (AI) in optimizing branding and mapping value chains to strengthen the competitive advantage of Batik Village Clusters in Indonesia. Employing a quantitative approach, the study analyzes survey data from stakeholders in the batik industry, focusing on their perceptions of AI's impact on branding and value chain processes. The study reveals that AI has a significant positive impact on branding optimization (t-statistic = 29.249, p = 0.000) and value chain mapping (t-statistic = 15.066, p = 0.000). Additionally, both branding optimization (t-statistic = 8.621) and value chain mapping (t-statistic = 16.853) were found to positively affect the competitive advantage of batik clusters. These findings suggest that AI can enhance branding efforts, improve value chain efficiency, and elevate the competitive positioning of Batik Village Clusters. The study provides actionable recommendations for batik entrepreneurs and policymakers, emphasizing the need to incorporate AI technologies to improve global competitiveness and ensure long-term sustainability in the batik industry

Data & MetadataVol. 3
Yarsi University (ID), Universitas Nusa Bangsa (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
SMEs Development and Digital Marketing
13.66
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Optimization of Branding and Value Chain Mapping Using Artificial Intelligence for the Batik Village Clusters in Indonesia to Achieve Competitive Advantage — Muslikh Muslikh, Endang Purwaningsih, et al. · Data & Metadata (2024) | TGRS Research Map | TGRS