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Factors Influencing User Satisfaction with Mobile Applications for Promoting Thai Community Products Pislae-ngam, Kattakamon; Inmor, Sureerut; Pukrongta, Nisit
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.383

Abstract

This study investigates key factors affecting user satisfaction with mobile applications like Shopee, Lazada, and TikTok Shop, focusing on promoting community products in Pathum Thani Province, Thailand. As mobile applications gain significance for marketing local goods, the research aims to explore how various features influence satisfaction and trust among users. The study collected data from 400 local entrepreneurs between January and March 2024, all experienced in using mobile apps to sell products. A confirmatory factor analysis (CFA) was conducted to examine five critical factors: requirements, accessibility, accuracy, security, and trust. The findings indicate that accuracy (β = 0.75) and accessibility (β = 0.71) significantly impact user satisfaction, emphasizing the importance of precise content and ease of use. Additionally, security (β = 0.76) and trust (β = 0.72) play crucial roles in maintaining user confidence in app transactions. All model indicators were validated at the 0.01 significance level, indicating a good fit for the hypothesized relationships between factors. The study’s novelty lies in highlighting specific app features that enhance user experiences in promoting local products. By focusing on the essential aspects of mobile app functionality, this research provides valuable insights to developers and local businesses for creating effective platforms, ultimately supporting sustainable economic growth.
The Influence of Logistics Technology Innovation on the Efficiency of Operations in Small and Medium-Sized Businesses in Thailand Inmor, Sureerut; Rangsom, Kritiya; Šírová, Eva; Wongpun, Sukontip
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.684

Abstract

Logistics technology innovation include technology for moving materials and products, such as robotics and automated logistics systems; technology used to transmit information that enables real-time data exchange to optimize material movement; and technology to assist in decision-making as artificial intelligence enhances decision-making. These technologies include the use of digital transformation, automation, and enhanced decision-making tools to increase the efficiency of supply chain operations. This study aimed to examine how environmental factors (legal regulations, market competition, and stakeholder involvement) influence the operational efficiency of small and medium-sized enterprises in Thailand, with logistics technology innovation serving as a mediating factor, and to propose strategic guidelines for improving business performance through innovation. Data were collected from 400 small and medium-sized businesses in the Eastern Special Development Zone which are Chachoengsao, Chonburi, and Rayong provinces. A purposive sampling method was used to select enterprises in logistics-related industries, followed by convenience sampling for survey distribution. The investigation was carried out utilizing structural equation modeling. The findings revealed that environmental variables have a considerable impact on operational efficiency, with logistics technology innovation serving as a mediating variable. The direct effect of environmental factors on innovation technology was strong (β = 0.73), while innovation technology had a significant positive effect on operational efficiency (β = 0.37). Product movement technologies, including robots and automated vehicles, had the greatest influence (β = 0.62), followed by digital data transmission technologies (β = 0.34) and decision support systems (β = 0.06). These results imply that small and medium-sized businesses should emphasize logistics automation, artificial intelligence-driven decision-making, and digital data sharing platforms to increase efficiency. This study offers important insights for corporate executives and politicians in creating a favorable climate.