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• The Impact of Sales Promotion, User Interface and User Experience Design on Shopee App Users' Repurchase Intentions

  90-104

  Gulielmus Brahma Rantau Lumban Tobing

  Patrick Vivid Adinata

  Fransisca Desiana Pranatasari

  Kristia Kristia

  Views:

  1365

  By 2022, Gen Z and millennial consumers dominated Shopee usage in Indonesia. Similar e-commerce platforms are forced to constantly innovate to remain competitive in the market due to increasing competition. Therefore, the primary focus of e-commerce platform development should be on the user interface, user experience design, and promotions that are appealing and easy to access so that potential customers are inclined to repurchase. This research aims to determine the influence of UI design, UX design, and promotions on the repurchase intention of users of the Shopee application. The sampling method used was systematic sampling. Ninety-six respondents are included in the sample. This study uses descriptive analysis, classical assumption tests, multiple linear regression, and hypothesis testing for data analysis. SPSS Statistics 28.0 was used for data processing. The study found that user interface design, user experience design, and sales promotions statistically impact the repurchase intention of users of the Shopee application. The results demonstrate the effectiveness of repurchase intent in e-commerce.

• Artificial Intelligence Possibilities in Vehicle Industry

  148-154

  József Menyhárt

  Views:

  300

  There have been several attempts during the last decades to extend the ranges of application of artificial intelligence. The aim of the development for AI is to replace human intelligence and experience. The ultimate aim for machines and vehicles is to run much more efficiently and with higher reliability than ever before. The Artificial Techniques (AI) used a wide range of expert systems to optimize problems. Hybrid intelligent management systems have become increasingly influential in artificial intelligence during the last decades. As a result, maintenance and fleet management systems have undergone significant development. By choosing adequate maintenance or operating strategy and taking user behaviour into consideration, these systems can not only increase the reliability and efficiency of vehicles but can also result in financial savings. The paper tries to discusses the applications of AI techniques in predictive maintenance and vehicle industry.