Entrepreneurship has become a key part of economies, and having an entrepreneurial orientation for SMEs is essential for success. EO and dimensions may differ in different cultures and different countries, thus a cross-cultural validation is suggested by the existing literature, which is lacking Malaysian perspectives. The objective of this study is to examine the relationships between entrepreneurial orientation (EO) and business performances of Malay-based SMEs in Malaysia and used the Partial Least Square (PLS) approach for data analysis. The research model for this study was drawn from the literature on entrepreneurship. This study identified five entrepreneurial orientations and tested hypotheses on which EO has a significant influence on business performance with empirical data from a sample of 407 Malay-based SMEs in Malaysia. The PLS regression analysis shows that risk-taking, proactiveness, innovativeness, and achievement factors are the significant elements of entrepreneurship orientation. Nevertheless, one independent variable, i.e., autonomy does not exhibit any relationship. This study offers a significant contribution to the current literature by empirically analyzing the link between the subcomponent of EO and business performance, specifically in the Malaysian SME sector, which has not been explored comprehensively. The paper’s interesting findings can serve to remind entrepreneurs that they cannot neglect the element of EO in their activities, particularly the success of the business. The research could be useful for policymakers to obtain some ideas and develop policies to help SMEs in Malaysia. Specifically, to enhance the performance in the SMEs sectors, the government should enforce easy to use, consistent, and standardized policies in all SMEs sectors and for all other stakeholders in boosting these sectors.

The expansion of social commerce websites has gradually transformed most people’s lives in terms of social interactions during leisure time. Communication has been made easier due to the advancement of information communication technology due to the fact that information sources can efficiently assist in providing the information required. Nevertheless, the possibility struggling to understand online content exists as the information may have inaccuracies and biases. By combining the technology acceptance model (TAM) and social support theory (SST), this study has developed a detailed purchase intention model to analyse relationships related to social commerce websites. Trust has been examined as the mediator in this research. The study has employed an online quantitative approach and has conducted non-probability (convenience) sampling to recruit 392 respondents. The findings demonstrate that different SS forms (emotional and informational) contain significant relationships with the TAM, trust and purchase intention. Nonetheless, perceived usefulness and purchase intention reveal insignificant relationships. Meanwhile, trust significantly mediates the association between SS and TAM constructs in this proposed model. The results also show that the proposed model has achieved a good fit and clearly explains each relationship. Therefore, the integration and extension of constructs may serve as future research paths. The findings could also be applied by marketeers and practitioners when developing social commerce websites.

In recent years, live streaming commerce (LSC) has become a popular research topic. However, current studies on LSC are relatively insufficient, and analyses have generally focused on its specific aspects, lacking a comprehensive and systematic perspective. Hence, this study utilises CiteSpace to undertake a visual bibliometric analysis aimed at delineating the knowledge framework and evolution of LSC and indicates future research directions to provide a comprehensive picture of the development of this dynamic field over the past six years. The results show that LSC is a thriving subject with several growing annual publications. Additionally, a strong collaboration exists between institutions and authors. Further, ‘influence’, ‘consumer behaviour’ and ‘consumer purchase intention’ are more popular in this domain and have assumed a leading position in recent research. Moreover, novel research trajectories have emerged, indicating interdisciplinary integration within the field. This study is innovative as it combines live streaming with commerce, analyses six years of literature, and builds an accurate and comprehensive knowledge framework within this domain. By identifying current gaps, this study contributes to the literature by addressing prior study limitations, enriching the knowledge base, providing crucial research directions for future exploration, and inspiring scholars to efficiently find research topics.

With the rapid development of the social economy, customers have become the most critical resources of companies, and many companies have taken analytical customer relationship management (CRM) as the magic weapon to improve their core competitiveness. As the main driving force of global economic growth, China currently occupies an essential position in the worldwide economy. Using CiteSpace information visualization software, this paper quantitatively analyzed the relevant research of 98 Web of Science (WoS) studies and 616 Chinese papers in China National Knowledge Infrastructure (CNKI) from 2003 to 2023 regarding analytical CRM in China. The research results of analytical CRM in China draw a knowledge mapping to sort out the annual publication volume, topic, publishing institution, and keyword. It was found that Chinese scholars have focused on analytical CRM in China during the last 20 years, and it entered a relatively rapid growth period in 2013, forming a relatively complete body of knowledge. However, the overall number of publications in WoS is low, and the research field is narrow. According to the data, foreign scholars' research has certain limitations, primarily focusing on applying concepts in information technology. The layout between different research topics is scattered and the correlation is low. This paper provides a comprehensive analysis to point out the direction for researchers in the area of analytical CRM to engage in related research, provide data reference, and help to predict the future trend of this research. Future research should fully use big data and information technology and focus on analytical CRM in the network era to help Chinese companies improve their competitiveness.