This research explores the influence of enterprise resource planning (ERP) system implementation on the quality of accounting information in Vietnamese small and medium-sized enterprises (SMEs). ERP systems, designed to unify and streamline information across various business processes such as accounting, finance, supply chain, and human resources, are critical in integrating internal and cross-business information. Given their complexity and cost, the effective implementation of ERP systems necessitates proficient users. This study, employing the Ordinary least squares (OLS) method for analysis, gathered data through purposive sampling from 145 users across 117 Vietnamese SMEs. The analysis, based on regression and complemented by t-tests, examined the hypothesized relationship between ERP implementation and accounting information quality enhancement. The findings reveal a significant positive correlation between ERP system implementation and improved accounting information quality, underscoring the importance of ERP systems in elevating the standard of accounting practices in SMEs. These insights are crucial for understanding the broader implications of ERP systems in business management and financial reporting.
The exploration of stakeholder perceptions concerning the elements and values underpinning the cooperative concept in Malta forms the core objective of this investigation. Employing semi-structured interviews, primary data was gathered from a diverse group of participants, including thirteen representatives from cooperatives, four from cooperative institutional bodies, and five experts within the cooperative field. The analysis reveals a notable deficiency among Maltese cooperative stakeholders in comprehending the foundational elements and values of the cooperative model. This lack of understanding is attributed to ongoing challenges such as persistent misconceptions regarding the adaptability of cooperatives to social objectives, gaps in pertinent education and training, and inadequate promotion of the cooperative paradigm. The findings suggest a critical need for stakeholders to accord greater priority to the socially relevant components of cooperatives—those designed to be integral to the concept—beyond the mere generation of annual financial surpluses. Such a shift in focus is posited as essential for fostering a deeper appreciation and application of cooperative values, benefiting not only individual entities but the broader cooperative movement. Moreover, the insights gleaned from the Maltese context offer valuable lessons for cooperative movements in other small European states, highlighting the universal applicability and potential of cooperative principles for economic development and social cohesion. This study contributes to the dialogue on cooperative development by elucidating the gaps in understanding and application of cooperative values among stakeholders, thereby offering a foundation for targeted educational and promotional strategies to enhance the cooperative model's implementation and perception.
This study investigates the effects of corporate governance (CG) and financial leverage (FL) on the valuation of firms listed in Vietnam. An analysis was conducted on a sample set containing 325 companies from the Ha Noi Stock Exchange over a three-year period (2018-2020), employing a correlational and non-experimental research design. It was found that an increase in board size negatively influences the value of these companies. In contrast, the phenomena of CEO duality, the presence of audit committees, larger firm size, greater FL, higher insider holdings, and improved return on assets were observed to positively affect firm valuation. Notably, the study delineates sector-specific impacts of CG and firm leverage, identifying divergent effects in the service and manufacturing sectors. For manufacturing firms, a larger board size adversely impacts value, whereas CEO duality, FL, the existence of audit committees, insider holdings, and firm size contribute positively. Within the service sector, a similar negative correlation was noted with board size, but FL and return on assets positively influenced firm value. The findings of this research provide valuable insights into the dynamics of firm valuation, offering guidance to investors, financial managers, and consultants. This investigation enriches the existing literature by highlighting the complex interplay between CG, FL, and firm valuation in the Vietnamese context. The discovery of the negative impact of larger board sizes on firm value challenges established beliefs and underscores the criticality of board composition for optimal firm performance.
This study investigates the deployment of Robo-Advisors (RAs), a form of Artificial Intelligence (AI), in offering investment advice aimed at maximizing investor returns. As the prevalence of platform investments incorporating RAs grows, a critical analysis is undertaken to assess the legal safeguards for users of RAs in making investment choices and in navigating the risk landscape of mutual funds. The focus is particularly on the legal mechanisms in place to protect investors from the inherent risks associated with mutual fund investments advised by RAs. Employing a qualitative research methodology alongside an empirical juridical approach, this analysis is underpinned by descriptive analytical techniques. The investigation draws upon regulatory frameworks pertaining to AI, complemented by observations and interviews conducted on the Bibit investment platform. The findings reveal that the RA functionality on the Bibit Investment platform is limited to processing risk mappings based on user inputs. It lacks the capability to predict future price fluctuations. Consequently, investors bear the profits and losses of their investments, contingent on the risks outlined at the outset. The RA merely provides recommendations based on responses from users, leaving final investment decisions to the discretion of the investors. This underscores the necessity for investors to be well-informed about the legal statutes governing their rights and obligations. The paper argues for a comprehensive understanding among investors about the extent of legal protection against the risks of mutual fund investments advised by RAs, highlighting the importance of investor education in navigating these legal frameworks.
In recent years, many researchers have studied some complex phenomena in the world from a new angle, and the subject of complexity science was born. In the field of complexity research, the study of social economics is very common. Because of the characteristics of financial market and its position in social economy, it is very important in complexity research. Based on complex network theory and vector autoregressive model (VAR) study of the stock market fluctuation and discusses the conduction effect between stock volatility in the industry on the influence of the correlation of share price volatility, aims to better understand the operating mechanism of the stock market, the more effective controlling the market development direction, to promote the healthy development of China's financial markets. In this paper, the rise and fall of stocks in 11 industries in the CSI 300 industry index are selected as variables, and the data from January 1, 2024, to March 1, 2024, are selected as research samples. Granger test and vector autoregressive model are used to calculate the conduction benefits between different industries. The complex network is constructed with industry as node and stock conduction direction as edge. Based on the analysis, we can find that in the CSI 300 industry index, there are several industries as the influence center of volatility, and their stock price fluctuations will affect the market of related industries, thus affecting the whole body. Based on the market situation of related industries in recent years, the correlation of fluctuations of different stocks in the stock market can be explained, and the influence of industry factors on stock price fluctuations can be deeply explored.
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