Objective: Companies engage in ESG (Environmental, Social, and Governance) activities to enhance financial returns and demonstrate adherence to market practices. Despite the existence of ESG, corporate performance is often in conflict due to inconsistent results and arguments. Theoretical Framework: Reflecting on that, this study uses a combination of bibliometric analysis and systematic literature review to examine the ESG literature and its impact on supporting the Sustainable Development Goals (SDGs). By utilising this approach, researchers can enhance their comprehension of ESG advancements by conducting quantitative bibliometric analysis and systematic review. Method: Thus, this study presents a bibliometric analysis covering articles obtained from the Scopus Database published between 2016 and 2022. The co-occurrence analysis includes 233 keywords from 50 articles relevant to the study was evaluated using VOSviewer software. Results and Discussion: The initial study concluded 121 articles related to ESG and corporate performance. This study opted for articles from the disciplines of business, management, and economics. As a result, 87 documents were selected. Co-authorship analysis showed that ESG analysis was associated with five main continents: Africa, the Americas, Europe and Oceania. Research Implications: An overview of trends and development directions is also provided in this study to visually show the current interest of the researcher in the topic. The analysis focuses on finding the best authors, the best journals, active institutions and the best citations of sustainable development research. Originality/Value: The bibliometric analysis effectively illustrates the evolution of ESG research and its potential to advance the SDGs, offering insights for future research in this field.

The contemporary landscape witnesses a rapid evolution in the utilization of Artificial Intelligence (AI), observable across diverse sectors and industries. One of the most widely recognized AI technologies is ChatGPT. Like other AI-based technologies, ChatGPT is extensively used in various applications at both individual and organizational levels. However, what is concerning is the trend of using ChatGPT technology without understanding its fundamentals. Therefore, this study focuses on unraveling the basic knowledge of this highly advanced platform, ChatGPT. The findings of this study are benefiting many parties, especially individuals interested in using this platform. These benefits are not only limited to the community but also contribute to the body of knowledge by providing insights into the fundamental aspects of this platform. The study's positive outcomes will contribute to forming a community layer with a deeper understanding of ChatGPT and improved readiness prior to its utilization.

The aim of this paper is to examine the availability of risk information in the annual report of Malaysian companies by focusing on the non-finance sector. To answer the stated research question and hypothesis, the authors examine 166 companies listed in Bursa Malaysia from 2008 until 2017. The method employed in this study to extract the information from the annual report and plotting risk disclosure trend is content analysis. The analysis finding suggested that, in general, risk disclosure practice in Malaysia is experiencing an upward trend in the last ten years (2008-2017). However, it was found that the implementation of disclosure regulation in Malaysia is still insufficient as the study found that the level of disclosure information is lower. There is a need to further examine the current regulation and standard in an effort to improve the disclosure practice among and aligned with international standards. This study employed signalling theory as a mean to explain the study objective.

Although awareness of sustainable fashion in Malaysia is present, it is growing slowly. Consumers may find it challenging to understand messages or communicating advertisements on pro-environmental actions. Accordingly, stimuli development was designed in this study using regulatory focus theory for the structural development of an advertisement message. The advertisement content was generated based on promotion and prevention regulatory focus messages. This pre-testing study involved 30 university students who were randomly assigned to one of two treatment conditions: promotion or prevention regulatory focus message (n = 15 per group). The data were analysed with an independent samples t-test. The advertisement with the promotion-focused message was more persuasive than that with the prevention-focused message. The findings suggest guidelines for practitioners to devise effective strategies when designing advertisements that will not only help firms obtain personal benefits but also benefit society and the environment.