Examining public acceptance choice causes on sales and service tax implementation in Malaysia

The article analyzes the regulatory framework in the insurance market in connection with the advent of Big Data, such as information collected from different sources that can be manipulated by new technologies. The use of Big Data offers significant opportunities to the insurance companies in terms of digitization of the distribution channels and greater knowledge of the customers, which is instrumental to a more effective identification of the individual’s risk profile, as well as improvement of the competitiveness. However, regulatory measures are needed for a proper use of Big Data in terms of respect of the individual privacy, potential discrimination and constraint on competition.

The study investigates the impacts of firms-, industry-, and country-level covariates on the financing structure amongst the Indonesian listed companies. Using artificial nested testing procedure, the preferred models were selected that could illustrate the association between debt ratio and its determinants. By making use of the full sample, it was found that these three levels of determinants explain approximately 73% of leverage variations.
Further, the importance of these determinants on leverages across sectors is also investigated in this study. The sectoral behavior plays a crucial role as the firm- and sector-level covariates indicate more important variables than country-level covariates, which implies that the firm-level covariates become the main factors in firm financing structure determination.
The artificial nested testing procedure (F-test) was used choose the preferred models, which is suitable for each sector. The selection of models depends on the sectoral characteristics, which indirectly control the orientation and magnitude of relationships. Those three levels of determinants have different impacts on capital structure across sectors, which provides evidence that the sectoral behaviors indirectly tend to influence the association between determinants and firm financing pattern in the Indonesian context.

While the most important financial and accounting issues of early-stage enterprises with fast growth potential (startups) are widely covered in practice-oriented literature, academic studies do not deal with this subject. In the author’s opinion, this subject should receive more attention in academic writing, as inappropriate financial management can make it more difficult for startups to raise capital at a later stage of operation and, thus, to grow further. This paper is based on a sample of financial and tax due diligences of Hungarian startups. The authors intended to present some of the issues identified and relevant also to startups operating outside Hungary. The sample shows that due to a loss making operation in the early years, this type of companies can quickly use up their equity and, therefore, they need continuous ownership (equity) financing. The sample demonstrates that debt financing is not a viable option for this group of companies, the only option for them is venture capital financing. The authors confirmed the positive relation between startups and R&D&I. In their opinion, compliance with the rules and the optimization permitted by the rules themselves is highly significant for startups to manage their high upfront losses and to attain their general aim to raise investment capital. The financial and tax due diligences at startups allowed to identify several inappropriate practices due to complicated accounting and tax laws.