This article delves into the application of blockchain technology in enhancing intellectual property (IP) protection within the e-commerce sector, providing a comprehensive analysis of its future prospects. By examining the core characteristics and working principles of blockchain, the paper reveals the unique advantages it offers in strengthening IP protection for e-commerce. The article elaborates on how blockchain’s features of decentralization, data immutability, and timestamping contribute to a secure, transparent, and efficient IP protection mechanism in the e-commerce field. Furthermore, the paper discusses the practical application of blockchain technology in IP registration, management, transaction, and rights protection, highlighting its significant impact on security traceability, transaction cost reduction, and efficiency improvement. Lastly, the article anticipates the future role of blockchain technology in IP protection in e-commerce and believes that with continued technological advancements and enhanced policy support, blockchain will play an increasingly pivotal role in this domain. The paper also proposes potential challenges and solutions that require attention, aiming to foster the healthy and sustainable development of blockchain technology.

Malaysia’s economic development strategies have evolved significantly since independence, focusing on reducing poverty, enhancing education, and integrating technology to foster sustainable growth. Despite substantial progress, challenges persist in achieving inclusive development across rural and urban sectors. This study examines the effectiveness of Malaysia’s New Economic Model (NEM) in addressing poverty and unemployment through technological and educational advancements. Employing a qualitative approach, it reviews literature on technology’s impact on economic growth, poverty alleviation, and the role of tertiary education in national development. Analysis reveals that while NEM initiatives have attracted foreign investment and improved infrastructure, gaps remain in educational access and technological self-reliance. The findings underscore the need for targeted policies that enhance educational outcomes, promote inclusive technology adoption, and address structural inequalities to achieve sustainable economic development. Recommendations include bolstering vocational training, enhancing rural infrastructure, and fostering public-private partnerships in technology innovation to ensure equitable economic progress.

In this paper, we will provide an extensive analysis of how Generative Artificial Intelligence (GenAI) could be applied when handling Supply Chain Management (SCM). The paper focuses on how GenAI is more relevant in industries, and for instance, SCM where it is employed in tasks such as predicting when machines are due for a check-up, man-robot collaboration, and responsiveness. The study aims to answer two main questions: (1) What prospects can be identified when the tools of GenAI are applied in SCM? Secondly, it aims to examine the following question: (2) what difficulties may be encountered when implementing GenAI in SCM? This paper assesses studies published in academic databases and applies a structured analytical framework to explore GenAI technology in SCM. It looks at how GenAI is deployed within SCM and the challenges that have been encountered, in addition to the ethics. Moreover, this paper also discusses the problems that AI can pose once used in SCM, for instance, the quality of data used, and the ethical concerns that come with, the use of AI in SCM. A grasp of the specifics of how GenAI operates as well as how to implement it successfully in the supply chain is essential in assessing the performance of this relatively new technology as well as prognosticating the future of generation AI in supply chain planning.

Desert environments face the challenge of promoting sustainable tourism while balancing economic growth with cultural and environmental preservation. In the context of rapid global tourism expansion, effective destination management becomes crucial for positive economic impact and long-term preservation. This study aims to identify key factors influencing the sustainability of tourism. It explores the interactions between local stakeholders, the supply of tourism products and services, and tourism governance. Utilizing structural equation modeling through the PLS-SEM method, data was collected from 150 stakeholders in desert environments. The findings reveal that the involvement of local tourism stakeholders and the supply of tourism products and services significantly impact sustainable tourism in the desert environment. However, we observe a lack of influence between tourism governance and sustainable desert tourism. The novelty of the study lies in the identification of promotional factors for sustainable desert tourism. The originality of this study lies in its in-depth exploration of the mechanisms for promoting sustainable tourism.

During crisis events, the government implements many policies to control the development of the crisis and stimulate the economy damaged by the crisis. The government plays a very important role during the crisis. The stock market is a reflection of a country’s economic situation. This article takes the Chinese government policies during the COVID-19 crisis as the research object and analyzes the impact of government policies on the CSI300 index. The following conclusion is drawn: not all government restrictions will cause a decline in stock market prices, among which the Wuhan lockdown policy has promoted the rise of the CSI300 index. The two stimulus policies implemented by the Chinese government are both conducive to the rise of CSI300 index. During the COVID-19 crisis, investors holding high assets, high leverage, and low profitability companies will be significantly negatively affected after the government implements restrictive policies. After the government implements stimulus policies, investors holding high asset and high leverage companies will suffer losses. Investors who hold low asset, low leverage, and high profitability companies will have profits. And this article also finds that the size of company assets is an important driving factor for abnormal returns.

The purpose of this research was to investigate the influence of innovative organizational culture on innovativeness through human resource management and the innovative skills of personnel. The population of this study comprised small and medium enterprises (SMEs) in Thailand from both the manufacturing and service sectors. Purposive sampling was employed to gather information from entrepreneurs, executives, or department managers of SMEs through an online questionnaire distributed via email, obtaining a total of 440 responses. Data were analyzed using descriptive statistics and structural equation models (SEM) for hypothesis testing. The results indicated that SMEs in this context had a moderate level of innovative organizational culture, human resource management, innovative skills, and innovativeness. Moreover, the structural equation model was consistent with the empirical data, revealing that innovative organizational culture has a direct influence on innovativeness. Furthermore, human resource management and the innovative skills of personnel were found to be partial mediators in the relationship between innovative organizational culture and innovativeness. The indirect effect through these two variables was greater than the direct effect. These findings confirmed the relationship between innovative organizational culture, human resource management, innovative skills, and innovativeness among SMEs in Thailand, leading to guidelines for businesses to improve their innovativeness.