The study explores improving opportunities of forecasting accuracy from the traditional method through advanced forecasting techniques. This enables companies to optimize inventory management, production planning, and reducing the travelling time thorough vehicle route optimization. The article introduced a holistic framework by deploying advanced demand forecasting techniques i.e., AutoRegressive Integrated Moving Average (ARIMA) and Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM) models, and the Vehicle Routing Problem with Time Windows (VRPTW) approach. The actual milk demand data came from the company and two forecasting models, ARIMA and RNN-LSTM, have been deployed using Python Jupyter notebook and compared them in terms of various precision measures. VRPTW established not only the optimal routes for a fleet of six vehicles but also tactical scheduling which contributes to a streamlined and agile raw milk collection process, ensuring a harmonious and resource-efficient operation. The proposed approach succeeded on dropping about 16% of total travel time and capable of making predictions with approximately 2% increased accuracy than before.

The People's Republic of China (PRC) wants to become a key regional actor in the Arctic. PRC's underlying priority in the region is gaining access to commercial opportunities from trade and natural resources. To this end, PRC is building its domestic capacities for research and commercial development in the Arctic, increasing its involvement in multilateral forums on Arctic governance and deepening ties to Arctic nations, especially Russia.

Attitudes towards PRC among Arctic nations are diverging, but Beijing generally faces high levels of skepticism and opposition to its Arctic involvement, explicitly grounded in perceptions of PRC as a state undermining the rules-based international order and potential military build-up in the high north.

The analytical framework in this article builds on an outline authored by Exner-Pirot in 2012 (Exner-Pirot, 2012) to detail the current schools of thought within Arctic governance, and builds on it by including more recent developments in Arctic governance, incorporating the updated Arctic policies of most Arctic countries and connecting it to PRC.

This article contends that Beijing wants to change the status quo of Arctic governance and shift it towards a more accommodating approach to non-Arctic states. This article finds, based on the stated Arctic strategies of the eight Arctic states and PRC, that there are different views on Arctic governance where Arctic countries for the most part indicate an openness to a Chinese entry into the Arctic, albeit in diverging ways. This creates a complex governance scenario for PRC to navigate as it seeks to become a key Arctic player

This study investigates the impact of the Belt and Road Initiative (BRI) on the construction sector in Southeast Asia, focusing on Thailand, Malaysia, and Cambodia. Qualitative research approach is used to analyze the implications of Chinese investments in these countries, exploring both the opportunities and challenges faced by Chinese investors. Key research questions address the resilience of the construction sector, the obstacles encountered by investors, and the influence of policy on the construction business. Through interviews with CEOs and senior managers of major construction companies and a review of relevant documents, the study uncovers the economic and geopolitical motivations behind China’s BRI strategy. The findings reveal significant insights into the benefits and drawbacks of BRI financing, providing recommendations for overcoming challenges and leveraging future opportunities in Southeast Asian construction sectors.

Generational differences shape technological preferences and fundamentally influence workplace motivation and interactions. Our research aims to examine in detail how different generations assess the importance of workplace communication and leadership styles and how these diverse preferences impact workplace motivation and commitment. In our analysis, we studied the behavioral patterns of four generations—Baby Boomers, Generations X, Y, and Z—through anonymous online questionnaires supplemented by in-depth interviews conducted with a leader and a Generation Z employee. To verify our hypotheses, we employed statistical methods, including the Chi-Square test, Spearman’s rank correlation, and cross-tabulation analysis. Our results clearly demonstrated that different generations evaluate the importance of applied leadership and communication styles differently. While Generations Y and Z highly value flexible, supportive leadership styles, older generations, such as the Baby Boomers prefer more traditional, structured approaches. The study confirmed that aligning leadership and communication styles is crucial, as it significantly impacts the workplace atmosphere and employee performance. Our research findings hold both theoretical and practical significance. This research highlights how understanding generational preferences in leadership and communication styles can enhance workplace cohesion and efficiency. The results provide specific guidance for leaders and HR professionals to create a supportive and adaptable environment that effectively meets the needs of diverse generations.