Financial Services Companies Research Articles

Burnout and Quality of Work Life on Job Performance: Mediating Role of Job Satisfaction Among Financial Services Employees

The ability of company management to sustain employee job performance in the pursuit of organizational objectives is critical due to the intense competition among financial service companies. This study investigates the relationship between burnout, work life quality, job satisfaction, and job performance, examining how job satisfaction mediates the relationship between these factors. The study was conducted to 200 employees of financial services companies in Indonesia. Data was obtained by distributing questionnaires. The method employed is quantitative analysis utilizing SEM PLS analysis. The research findings indicated that: (1) Burnout has a negative and significant impact on employees job performance; (2) Quality of Work Life has a positive and significant impact on employees job performance; (3) Job satisfaction has a positive and significant impact on employees job performance; (4) There is a significant indirect impact of Burnout on Job Performance with Job Satisfaction; (5) There is a significant indirect impact of Quality of Work Life on Job Performance with Job Satisfaction.

Application of artificial intelligence in business management and financial market forecasting

In today's business world, artificial intelligence as a new technology has provided dynamic and flexible capabilities in organizational decision-making processes, considering that organizational decision-making often faces challenges due to the complexity and multiplicity of factors affecting it. The application of artificial intelligence as A powerful tool can be effective in improving the organizational decision-making process and improving the performance of organizational managers. Artificial intelligence is one of the popular and widely used new sciences in almost all aspects of life and can do things faster and more accurately. The numerous advantages of artificial intelligence and its wide applications today are not hidden from anyone. Financial services companies are constantly looking for ways to gain superiority in the capital market and surpass their competitors. To do this, companies are moving away from old systems and models They adopt a more agile business that includes artificial intelligence techniques in capital markets, artificial intelligence in financial markets and machine learning (ML). In capital markets, companies use artificial intelligence and ML projects in coordination with RPA robotic process automation technologies to meet customer requests, speed up financial market analysis, and more accurately identify risk in the business process.

The Effect of Disclosure of Sustainable Development Goals on the Financial Performance of Banking Companies in Indonesia

This study aims to analyze the impact of Sustainable Development Goals (SDG) disclosure on the Return On Assets (ROA) of banking companies in Indonesia, to analyze the impact of SDG disclosure on the Return On Equity (ROE) of banking companies in Indonesia, and to analyze the impact of SDG disclosure on the Return On Investment (ROI) of banking companies in Indonesia. The data used in this research are secondary data sourced from the Annual Reports and Sustainability Reports of financial service companies in the banking sector listed on the Indonesia Stock Exchange (IDX) for the period 2019-2023. The research sample was selected using purposive sampling method, resulting in 15 companies as samples. The data analysis used for hypothesis testing is panel data analysis using Eviews 12 software. The results of the study indicate that SDG disclosure has a positive effect on ROA, SDG disclosure has a positive effect on ROE, and SDG disclosure has a positive effect on ROI of banking companies in Indonesia. These findings provide important empirical evidence that can encourage banking companies to pay more attention to and integrate SDGs into sustainable business strategies to achieve optimal financial performance, and promote more comprehensive and transparent SDG disclosure regulations to help investors make better investment decisions, as well as encourage investors to consider sustainability factors in their investment decisions. The implication of this research is the encouragement for banking companies to pay more attention and integrate SDGs in business strategy.

THE ROLE OF ECONOMIC DATA ANALYSIS IN MANAGING MEDIUM AND SMALL COMPANIES TO MAKE STRATEGIC DECISIONS AND IMPROVE PERFORMANCE: AN ANALYTICAL STUDY

Economic analysis plays a pivotal role in managerial decision-making processes. This analysis is predicated on deeply understanding economic forces and market factors influencing corporate strategies and decisions. This paper delves into the role of economic data analysis in managing small and medium-sized enterprises (SMEs) to make strategic decisions and enhance performance. The study underscores the significance of this approach and its impact on corporate outcomes. The research analyzes annual reports from three companies: Al-Mahfaza for Mobile and Internet Financial Payment and Settlement Services Company Limited, Al-Arab for Electronic Payment Company, and Iraq Electronic Gateway for Financial Services Company. The paper concludes by drawing key findings from this analysis.

Intellectual capital and firm performance of Jordanian financial institutions

This study aims to explore the financial implications of intellectual capital in the Jordanian financial sector during the period 2009–2018. It uses Pulic’s (2004) value-added intellectual capital model, particularly capital employed efficiency, structural capital efficiency, and human capital efficiency, and tests its potential effect on firm financial performance measures, including return on assets, return on equity, asset utilization ratio, and Tobin’s Q. The study’s findings demonstrate that value-added intellectual capital positively influences the financial performance of Jordanian financial companies. Value-added intellectual capital is not found to have a significant impact on productivity, but it is strongly and positively related to firm profitability and market value. As for the main components of value-added intellectual capital, human capital efficiency has a significantly positive impact on a company’s performance, but regarding structural capital efficiency, the outcomes vary depending on the measure of firm performance. Notably, when firms are categorized into sub-industries (banks, insurance companies, and financial service companies), it is found that the profitability of insurance companies is more affected by intellectual capital than that of banks or financial services. The results also show that investors place great importance on the efficiency of intellectual capital, particularly within the banking industry. Furthermore, implementing Shariah compliance standards boosts the positive effect of structural capital efficiency on corporate market value and reinforces the positive influence of human capital efficiency on productivity.

Expectancy Theory As A Determination Of Net Promoter Score (Nps): Increasing The NPS Value Of Services

The wave of digital transformation had been boosted and accelerated by the pandemic, but whether or not this opportunity is leveraged by the industry especially the financial service industry remains a big question. The question around which aspect of digital transformation would best impact the industry is another challenge. In the discussion of reputation management, the customer aspect is a critical factor, thus the question of whether or not the customer perceived the benefit or accepted the digital transformation also need to be discover. Let’s go back to the financial service industry which is the focus on this research, are the services provided by financial service company had fulfilled their expectation and thus would result in a higher Net Promoter score for the company. This research uncover that providing digital services is not enough when it comes to NPS it requires understanding of the customer hopes and acting upon it.

Improvement of DEVA Model in Valuation Research of Internet Financial Information Service Companies

With the development of the digital economy and the internet, the internet financial information service industry has shown strong momentum. Different from traditional enterprises, internet financial information service companies possess characteristics of low assets, high risks, and difficulties in measuring non-financial indicators. As a result, traditional valuation methods exhibit inaccuracies in application and require the introduction of non-financial valuation models for validation. Therefore, considering the industry's characteristics from a user perspective, we introduce the Metcalfe valuation modelthe DEVA valuation model. Simultaneously, we improve this model and, using Hithink Royalflush Information Network Co., Ltd. as a case study, estimate the value at the evaluation point using both the original DEVA model and the revised new model. Finally, we analyze and compare the differences between the various valuations and Royalflush's total market value at the evaluation point, concluding that the improved DEVA model yields more fair and accurate valuation results.

The Effect of Tax Avoidance and Leverage on Company Value: Case Study on a Financial Sub-Sector Service Company Listed on Indonesia Stock Exchange for 2018 – 2022 Period

This study aims to examine the effect of tax avoidance and leverage on company value. The research method used, which uses a quantitative descriptive approach method. Data testing was performed using Panel Data Regression Analysis. This data analysis technique is processed with EViews 12 SV software for Windows. Tax avoidance has no significant effect on the value of the company with a percentage value of 45%. Leverage has a significant effect on the value of the company with a percentage value of -5.51%. The variables Tax avoidance and leverage show prob. (F-statistic) is smaller than 0.05 so that is rejected so that together (simultaneously) it affects the value of the company.

HRM practices, organizational learning and organizational performance: evidence from the big four financial services in France

Purpose This paper aims to examine the mediation effect of organizational learning on the link between human resource management (HRM) practices and organizational performance in some Big4 financial services companies. Design/methodology/approach The quantitative methodology was chosen for this research, using resource theory and knowledge-based approach to explain the relationship between latent variables. A sample of 403 HR employees and managers of the companies under study in France was selected in 2022. Structural equations modeling was used based on the Spss-Amos program to test the research hypotheses. Findings The results revealed that organizational learning played a mediating role between HRM practices (hiring, training, motivation and decision-making) and organizational performance and that learning enabled the performance of workers to improve and achieve competitive advantages in this field. Research limitations/implications The sample was based on four international companies working in the field of financial services and consulting and providing their services within France, which may affect the generalisability of the results and limit them to the studied sector. Practical implications The contribution of the study is to improve the awareness of administrators, decision makers and company employees of the importance of organizational learning for companies, and to stimulate motivation to learn and exchange knowledge in a constructive way that enhances organizational performance. Working on organizational culture change through HRM-practices-based learning as an effective mechanism for organizational performance improvement is one implication. These practises influence cadres' attitudes toward their work, which improves their performance. Social implications Working on organizational culture change through HRM-practices-based learning as an effective mechanism for organizational performance improvement is one implication. These practises influence cadres' attitudes toward their work, which improves their performance. Originality/value This study seeks to provide cadres and executives with an in-depth analysis of HRM and organizational learning, which, through its integration of these attributes, can contribute to the earning of knowledge-based competitive advantage and achieve superior and sustainable performance.

Application of SLP and SW in an Alternative Financial Service Company: A Case Study

Application of SLP and SW in an Alternative Financial Service Company: A Case Study

Analysis of the Effect of Pricing Policy, Investment Decision Making, and Service Quality on Financial Performance in Financial Services Companies in West Java

This research investigates the intricate interplay between pricing policy, investment decision-making, service quality, and financial performance within financial services companies in West Java. Employing a quantitative research design, data was collected from 152 companies through a structured survey and analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS). The measurement model confirmed the reliability and validity of the chosen indicators, while the structural model unveiled significant relationships. Results indicate that strategic pricing policies, informed investment decisions, and high service quality positively influence financial performance. The synergistic effect of integrating these elements contributes to a comprehensive understanding of the strategic dynamics in West Java's financial services sector.

What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services

The intended automation in the financial industry creates a proper area for artificial intelligence usage. However, complex and high regulatory standards and rapid technological developments pose significant challenges in developing and deploying AI-based services in the finance industry. The regulatory principles defined by financial authorities in Europe need to be structured in a fine-granular way to promote understanding and ensure customer safety and the quality of AI-based services in the financial industry. This will lead to a better understanding of regulators’ priorities and guide how AI-based services are built. This paper provides a classification pattern with a taxonomy that clarifies the existing European regulatory principles for researchers, regulatory authorities, and financial services companies. Our study can pave the way for developing compliant AI-based services by bringing out the thematic focus of regulatory principles.

Assessing the Practice and Implications of Earnings Management among Listed Financial Services Companies in Zambia

Financial statements are crucial for investors and stakeholders to assess a company's financial health. There is a concern that companies and banks listed on the Lusaka Stock Exchange (LuSE) may be using creative accounting techniques to manage their earnings figures (earnings management) to present a more favourable financial position. This study seeks to assess the Practice and Implications of Earnings Management Among Listed Financial Services Companies in Zambia. The study utilized a mixed method approach were both qualitative and quantitative methods were utilized targeting 923 permanent employees of all the companies that were listed on the Lusaka Stock Exchange (LuSE). The study ascertained the extent to which earnings management was practiced among the companies and further determined the extent to which earnings management was reliable in the companies and banks listed on LuSE. The study also determines the challenges faced among the companies and banks listed on LuSE in relation to earnings management. The results revealed that the majority of the selected companies were not frequently practicing earnings and that the practice was done yearly. This was evident based on the Beneish – Model results score of 2.25 indicating possible manipulation. Results from the study show that on the Beneish Model shows average magnitude of abnormal accruals. This result revealed that earnings management presented numerous challenges in the companies. From these results, it could be deduced that in the last 6 months by the time of writing this report, on average there was minimal improvement in the company’s reputation after earning management practices. The findings revealed the majority of the publicly held companies exceeding 75% intentionally distort earnings to misrepresent performance while adhering to the country’s laws.

Assessing Employee Engagement in the Communication Organization of a Fortune 500 Financial Service Company in the United States

Assessing Employee Engagement in the Communication Organization of a Fortune 500 Financial Service Company in the United States

Analisis Ketidakmerataan Layanan Publik Money Remitance Western Union di Kantor Pos Kota Tanjungpinang Terhadap Geraknya Modernisasi Layanan Bank Umum

Western Union is a global financial service company renowned for its money transfer services. With thousands of locations worldwide, including post offices and banks, Western Union enables individuals to send and receive money quickly and securely to nearly any country in the world. The main advantages of using Western Union include speed, convenience, and accessibility. In many cases, money transfers can be completed within minutes. Moreover, with the vast number of Western Union locations, the service is easily accessible to many people. However, it's crucial to be cautious of potential scams and always ensure that you're sending money to someone you know and trust. Additionally, the service fees of Western Union can be a consideration, depending on the amount of money sent and the destination country. Overall, Western Union is a solid choice for international money transfer needs, as long as it's used wisely and cautiously. This research shows that this lesser-known service can keep up with global transformation mobilization, introducing and fostering cooperation on service modernization. Using the literature study research method, this can include a study on overseas money transfer services.

Financial Performance and Market Trends in the Global Financial Services Company Goldman Sachs Group, Inc

Financial Performance and Market Trends in the Global Financial Services Company Goldman Sachs Group, Inc

Carbon Emission Disclosure and Financial Performance of Quoted Nigerian Financial Services Companies

Countries and businesses all over the world are focusing on initiatives to safeguard the environment. The goal of stabilizing greenhouse gas concentrations at a level that would preclude harmful anthropogenic interaction with the climate system is a key topic of focus during numerous endeavours. This study examined the relationship between the financial performances of quoted Nigerian financial services companies and carbon emission disclosure. The study employed ex-post facto research design and secondary data from the annual report of quoted Nigerian financial services companies. Multiple regression analysis was on a panel data set. Results show the variable that significantly returns on equity are ‘other indirect emission’ disclosure -scope 3 (coefficient = 0.416 and probability = 0.087), firm size (coefficient = 0.191 and probability = 0.089), capital intensity (coefficient = 0.000149 and probability = 0.000) and growth (coefficient = -0.0258 and probability = 0.014). The impact of other indirect emission disclosure -scope 3 on return on equity is positive and statistically significant. Also, the result shows the variable that significantly influences the return on sales are ‘other indirect emission’ disclosure -scope 3(coefficient = 0.790 and probability =0.001), firm size (coefficient = -0.395 and probability = 0.053), capital intensity (coefficient =0.000194 and probability =0.001) and growth (coefficient = 0.0360 and probability = 0.073). It was discovered that other indirect emission disclosure – scope 3 has a positive and significant effect on financial performance (ROE and ROS). This study concluded that carbon emission disclosure significantly influences the return on equity of the selected quoted Nigerian financial services companies. Also, the study concluded that carbon emission disclosure significantly influences the return on sales of the selected quoted Nigerian financial services companies.

“A STUDY ON EFFECTIVE MARKETING STRATEGIES USED BY LKP SECURITIES LIMITED IN MANAGING SERVICES WITH CUSTOMERS IN BANGALORE’’

This research looks at how LKP Securities Limited manages its services and client connections through successful marketing methods. Financial service companies must contend with fierce competition and changing consumer expectations in the modern business environment. An important participant in the securities sector, LKP Securities Limited, understands the value of effective marketing methods in sustaining client happiness and fostering company expansion.

ANALYSIS OF COMPARISON OF BANKRUPTCY PREDICTION ABILITY BETWEEN ALTMAN Z-SCORE ANALYSIS AND ZMIJEWSKI X-SCORE ANALYSIS IN FINANCIAL SERVICES COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE 2017-2021 PERIOD

This study aims to determine the comparative analysis of bankruptcy predictive ability between the Altman z-score and Zmijewski x-score analyses of financial services companies listed on the Indonesia Stock Exchange for the 2017-2021 period. This study uses secondary data in the form of financial statements of each financial service company, where the sample used in this study is 41 financial service companies listed on the Indonesia Stock Exchange. The data analysis method used is the Altman z-score and Zmijewski x-score models with the help of Microsoft Excel 2019 software. The results of the study reveal that (1) from the results of the Altman Z-Score, it is obtained that as many as 19 companies are predicted to experience bankruptcy within five years of the study period, while 6 financial services companies are predicted not to go bankrupt during the five years of the study period. (2) Zmijewski's analysis shows that 3 financial service companies are predicted to go bankrupt during the five-year study period, and 29 financial service companies are predicted not to go bankrupt during the five-year study period. (3) The results of calculating the level of accuracy found that the Altman Z-Score model is the best in predicting the bankruptcy of financial services companies with an accuracy rate of 68.78%, while the Zmijewski model only obtains an accuracy rate of 16.09%.

Integrating Cloud-Native Solutions in Financial Services for Enhanced Operational Efficiency

In an industry marked by fast technological advancement and strict regulatory demands, the incorporation of cloud-native solutions in financial services has become a crucial approach for improving operational efficiency. Cloud-native architectures, which are specifically designed to use the complete functionalities of cloud computing environments, provide substantial benefits compared to conventional on-premises systems. This study investigates the ways in which financial institutions might use these benefits to attain enhanced agility, scalability, and cost-efficiency. Cloud-native solutions are constructed by using microservices, containerisation, and continuous integration/continuous deployment (CI/CD) methodologies, offering organisations the ability to build applications with greater speed and efficiency. Through the use of these technologies, financial services companies may enhance their capacity to adapt to market fluctuations, optimise their information technology infrastructure, and refine their operations. Microservices enable the creation of modular application aarchitecture, which simplifies adjustments and maintenance processes while minimising periods of system unavailability. Containerisation, using infrastructure such as Docker and Kubernetes, improves the efficient use of resources and ensures consistent operation in various settings. Continuous Integration/Continuous Deployment pipelines optimise development cycles by facilitating regular upgrades and expediting the release of new features.