Recent Submissions

  • Forecasting Downloads for Gacha Games: A Comparative Study of Predictive Models & User Acquisition Strategies

    Beran, Tasnim; Osailan, Sarah; No Collaboration; NA; 1; 0; Supply Chain Management; 0; Beran, Tasnim (IEEE, 2024-03-21)
    Our research aims to help game developers enhance the quality of Gacha games and increase their popularity among players. We used forecasting techniques and a survey of 177 participants to predict the number of downloads and identify common issues leading to player attrition. Our findings suggest accurate forecasting and issue resolution can boost downloads and player retention rates. Linear regression was the optimal method for predicting the number of downloads for Genshin Impact V3.4, with a predicted count of about 3.85 million. In contrast, exponential smoothing was the most accurate method for Honkai Impact 3rd, with a scheduled download count of 25.96 thousand. We collected data from reputable sources, including Statista, VG Insights, research articles, and YouTube videos. Our research offers practical recommendations for game developers seeking to enhance the quality of their gacha games and their popularity among players.
  • Enhancing Supply Chain Efficiency through Railway Logistics for the Industrial Regions in Saudi Arabia

    Balfaqih, Hasan; Madrassi, Mohammad; External Collaboration; NA; 0; 0; Supply Chain Management; 0; Madrasi, Mohammad (2023-09-14)
    Railways logistics have been developed since the 19th century; however, until today, utilizing the characteristics of the railway to provide a sustainable supply of raw materials to the industrial regions from the logistics hub increases the efficiency of their supply chain. Supplying raw materials from the logistics hub to the industrial regions grants cost reduction, reliability of the manufacturer’s material supply, positively affecting production capacity, restocking interval time, and social and environmental responsibility. The objective of this study is to highlight the benefits of railway logistics to enhance the economy and improve operational capacity. This research used a mixed method to highlight critical elements of railway freight characteristics and compared them to truck freight characteristics to view the limitation of each approach to decide the optimal solution for the case via cost, environment, social economy, and future potential. The outcomes of this study will be valuable to both the industry manufacturers and the economy.