Search results1 – 10 of 78
In an era of increasing financial vulnerability, people are not saving enough to either fund their future pension benefits or having precautionary savings. The authors…
In an era of increasing financial vulnerability, people are not saving enough to either fund their future pension benefits or having precautionary savings. The authors propose that pension knowledge makes people increase their probability of having voluntary pension and banking savings.
The authors use the social protection survey in Chile, a unique set of panel data for affiliates in 2006 and 2009. First, the authors use clustering algorithms to find naturally occurring groupings in the level of pension knowledge. Second, the authors run a probit regression model for explaining the probability of having a voluntary pension and banking savings, using as determinants the level of pension knowledge and several control variables that are usually explored in the literature.
The authors find two clusters of pension knowledge in the Chilean pension system. In addition, the authors find that there is a positive correlation between high pension knowledge and good financial decision-making, as these people have voluntary retirement and banking savings.
As people who spend time planning accumulate more wealth, it is important to develop public policies that promote the advantages to know better about the benefits of having voluntary savings for the long-term horizon. Conscientious people are also more likely to have voluntary savings.
Policy programs to increase to be responsible can have positive effects on society's welfare.
Up to the authors’ knowledge, this is the first study that connects clustering algorithms and pension knowledge.
En una era de creciente vulnerabilidad financiera, las personas no están ahorrando lo suficiente para financiar sus futuras pensiones ni para tener ahorros precautorios. Proponemos que el conocimiento de las pensiones hace que las personas aumenten su probabilidad de tener ahorros voluntarios para pensiones y bancarios.
Usamos la Encuesta de Protección Social en Chile, una base única de datos de panel para afiliados en 2006 y 2009. En primer lugar, usamos algoritmos de clustering para encontrar agrupaciones naturales en cuanto a nivel de conocimiento sobre pensiones. En segundo lugar, usamos un modelo de regresión probit para explicar la probabilidad de tener ahorros voluntarios para pensión y bancarios, utilizando como determinantes el nivel de conocimiento sobre pensiones y variables de control.
Encontramos dos grupos de conocimiento sobre pensiones en el sistema de pensiones chileno. Además, encontramos que existe una correlación positiva entre un alto conocimiento de las pensiones y tener ahorros voluntarios.
A medida que las personas dedican tiempo a planificar acumulan más riqueza, por lo que es importante desarrollar políticas públicas que promuevan las ventajas para conocer mejor los beneficios de contar con ahorros voluntarios para un horizonte de largo plazo.
Los programas de políticas para aumentar la responsabilidad pueden tener efectos positivos en el bienestar de la sociedad.
Este es el primer estudio que conecta algoritmos de agrupación en clústeres para el conocimiento de las pensiones y sus implicaciones en la toma de decisiones financieras.
This study aims at investigating the extent of SysTrust’s framework (principles and criteria) as an internal control approach for assuring the reliability of accounting…
This study aims at investigating the extent of SysTrust’s framework (principles and criteria) as an internal control approach for assuring the reliability of accounting information system (AIS) were being implemented in Jordanian business organizations.
The study is based on primary data collected through a structured questionnaire from 239 out of 328 shareholdings companies. The survey units were the shareholding companies in Jordan, and the single key respondents approach was adopted. The extents of SysTrust principles were also measured. Previously validated instruments were used where required. The data were analysed using t-test and ANOVA.
The results indicated that the extent of SysTrust being implemented could be considered to be moderate at this stage. This implies that there are some variations among business organizations in terms of their level of implementing of SysTrust principles and criteria. The results also showed that the extent of SysTrust principles being implemented was varied among business organizations based on their business sector. However, there were not found varied due to their size of business and a length of time in business (experience).
This study is only conducted in Jordan as a developing country. Although Jordan is a valid indicator of prevalent factors in the wider MENA region and developing countries, the lack of external validity of this research means that any generalization of the research findings should be made with caution. Future research can be orientated to other national and cultural settings and compared with the results of this study.
The study provides evidence of the need for management to recognize the importance of the implementation of SysTrust principles and criteria as an internal control for assuring the reliability of AIS within their organizations and be aware which of these principles are appropriate to their size and industry sector.
The findings would be valuable for academic researchers, managers and professional accounting to acquire a better undemanding of the current status of the implementation of the SysTrust principles (i.e., availability, security, integrity processing, confidentiality, and privacy) as an internal control method for assuring the reliability of AIS by testing the phenomenon in Jordan as a developing country.
This paper aims to investigate the factors affecting local government officials’ susceptibility to corrupt behavior among Indonesian local government officials.
This paper aims to investigate the factors affecting local government officials’ susceptibility to corrupt behavior among Indonesian local government officials.
This study uses a self-report survey and collected 449 questionnaires from 65 village government districts in Central Java province, Indonesia. This study uses a simple and partial correlation to measure the relationship between the susceptibility to corrupt behavior and the independent variables. Binary logistic regression was used to investigate which independent variables were best to explain the local government officials’ susceptibility to corrupt behavior.
The results show that the factors that best explain corrupt behavior’s susceptibility are the officials’ moral conviction to refrain from corrupt behavior, the perceived opportunity of corruption and the perceived benefit of engaging in such behavior. Further, this study finds an appealing crossover interaction between the perceived cost and social norms on corrupt behavior, such that when officials perceive the cost of engaging in corrupt behavior as low, they will rely more on social norms to decide whether to commit corrupt behavior.
This study provides actionable information for policy formulation. In particular, this study indicates that improvement of internal control can deter corrupt behavior. In addition, the findings of this study also suggest that changing the way we convey the message about corruption might be a promising intervention to mitigate corrupt behavior among government officials. More specifically, a more persuasive-positive-tone message that emphasizes the benefit of not engaging in corrupt behavior or that most people are against corruption can deter corrupt behavior.
The present study provides empirical evidence on the determinants of local government officials’ corrupt behavior from Indonesia’s perspective, which is currently limited.
This paper aims to investigate the relationship between perceived and actual financial literacy, among generally literate people, pertaining to market participation and…
This paper aims to investigate the relationship between perceived and actual financial literacy, among generally literate people, pertaining to market participation and market participation intensity. It examines such market participation in both the traditional segments of the financial markets and the new segments [cryptocurrencies, structured retail products (SRPs) and crowdfunding].
The data are from a survey conducted in 2020 by the Portuguese Securities Commission in cooperation with 12 Portuguese universities. The final sample comprises 2,054 respondents. The basic and advanced financial literacy indexes were calculated following van Rooij et al. (2011). This paper uses probit regressions and ordinary least squares regressions with robust errors.
This study shows that even highly literate people are influenced by their perceived financial knowledge and its bias toward their actual skills. However, overconfidence has no significant association with securities market participation but rather is marginally correlated with the intensity of such participation. Underconfidence is negatively related to both. Moreover, the relationship between advanced financial literacy and overconfidence pertaining to participation in more complex market segments depends on the product type. Specifically, overconfidence has a positive relationship with participation in cryptocurrencies and SRPs but not with crowdfunding.
The securities market regulators should take note that participation in some complex market segments, even among literate people, is associated with investor overconfidence. Given that effective financial literacy correlates with participation in some more complex financial market segments and not others, the implication for future research is that the performance of individual investors may differ across these different segments. Additionally, this paper argues that the metrics used to assess financial literacy must take cognizance of the topics required to participate in the new market segments of financial markets.
This paper augments this stream of literature in several respects. First, it focuses on highly educated and trained people rather than the general population. Second, while the previous literature measures market participation using a simple dummy to identify respondents who invest in stocks, this paper also measures the intensity of participation. In addition, this study investigates the financial literacy effect from participation in the more complex segments of the securities markets, as in the case of cryptocurrencies and SRPs.
Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19…
Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19 pandemic and the post-pandemic period.
Design/Methodology/Approach: The conducted review of existing sources of research literature showed that they have formed an insufficient scientific background for a clear understanding of digital deprivation of services, social contradictions and conflict management as components of technological leap amid the COVID-19 pandemic and in the post-pandemic period. To fill the identified gap in the system of scientific knowledge, this work uses the method of comparative analysis of statistical data. Some countries of the world, the EU countries and the United States, which are characterized by the largest population and the largest contribution of investments to the digitalization of value chains and the development of innovations, were selected as objects for this study.
Findings: Research has shown that rapid digitalization is impacting all aspects of life, including not only how value is created and exchanged, but also how we interact, operate, purchase and receive services. In this process, data and its international flows are becoming increasingly important for development. The usual digital gap associated with connectivity, reflecting significant differences between and within countries in readiness to use the power of data, is exacerbated by what might be termed the data gap. Countries with limited opportunities to transform digital data into digital analytics and entrepreneurial opportunities, and to use them for economic and social development, are obviously at a disadvantage.
Originality/Value: Digital data have been proven to be one of the top strategic assets for creating both private and public value. Our ability to meet the Sustainable Development Goals (The 2030 Agenda for Sustainable Development, 2015) depends a lot on how these data are applied. The idea of sustainable development arose, as it is known, for overcoming significant fluctuations in the positive transformation of society, and for the alignment in the pace and results of the transition of various countries to the post-industrial scenario of progress. There are many obstacles on the path of sustainable development, which hinder the transition to this vector of transformation. First, the gap in economic and social development between the countries of the ‘golden billion’ and many other countries has not been reduced. Second, the digital gap continues to deepen. But a new and extremely threatening danger on the path to the transition to sustainable development has become the global crisis caused by the COVID-19 pandemic that emerged in early 2020 and is still ongoing.
Determining the right course for the future is a difficult task, but its solution cannot be postponed. Data are multidimensional, and their use has an impact not only on trade and economic development but also on human rights, peace and security. In addition, measures should be taken to reduce the risk of misuse and unauthorized use of digital data by states, non-states or the private sectors to avoid the possibility of global social conflict.
Purpose: The paper aims to explore gender conflict as a factor of global technological inequality from a modelling and conflict management perspective through an analysis…
Purpose: The paper aims to explore gender conflict as a factor of global technological inequality from a modelling and conflict management perspective through an analysis of women’s participation in science.
Design/methodology/approach: A review of the existing research literature has shown that there is an insufficient scientific basis for identifying the extent of gender conflict as a factor of global technological inequality through an analysis of women’s participation in science. Statistical data analysis is used to fill the identified gap in the scientific knowledge system. The countries chosen for study are those with the largest gender gaps and technological inequalities in terms of women’s participation in science and knowledge-intensive industries as well as in R&D.
Findings: The chapter reviews the factors that make the case, from an academic perspective, for the technological inequalities and gender gaps in the world leading to global employment conflict. The field of education encompasses numerous interrelated aspects, ranging from the level of demand and supply of educational opportunities to the access and delivery of education. These aspects also relate to the quality of teaching and the learning process, the effectiveness of the education system, individual learning outcomes, and the impact of education on the development and well-being of the individual, the community and the country as a whole. Scientific researchers make an important contribution to improving the quality of the education system: scientific research produces new knowledge further implemented through the education system. Such knowledge can improve people’s lives. Research is often carried out in universities, but also in the commercial sector, particularly in high-tech companies (Research and Development).
Originality/value: Education has been proven to be one of the resources that provide people with equal opportunities in life. Integrating a gender perspective into education includes assessing and promoting gender equality in learning opportunities available to men and women throughout their lives, especially during compulsory education. The gender approach also includes assessing the fairness of the delivery of educational services (such as training, management and course content).