THE IMPACT OF DIGITIZATION ON REPORTING IN THE FINANCIAL INDUSTRY

2019 ◽  
Author(s):  
Alexander Fichter
Keyword(s):  
Financial Industry ◽  
The Impact

scholarly journals Total rewards strategy for a multi-generational workforce in a financial institution

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Mark Bussin ◽  
Dirk J. Van Rooy
Keyword(s):  
Generational Differences ◽  
Financial Incentives ◽  
Financial Institution ◽  
Survey Design ◽  
Staff Retention ◽  
Financial Industry ◽  
Total Reward ◽  
Managerial Implications ◽  
The Impact ◽  
Skilled Staff

Orientation: Different generations may value and perceive employee rewards differently. This impacts on reward strategies in the workplace which have been specifically developed to attract, retain and motivate staff. A one-size-fits-all approach to reward strategy may not achieve the objectives intended, leading to direct and indirect financial implications for businesses.Research purpose: This study investigated whether perceptions of reward strategy differed across generations in a large financial institution in South Africa. This context was specifically chosen due to the significant competition to attract and retain staff that exists in the financial sector. To contribute to the practical challenges of reward implementation, the study investigated whether specific reward preferences associated with generation exist, and whether offering rewards based on these preferences would successfully attract and retain staff.Motivation for study: South African businesses are competing for skilled staff and rely heavily on a total reward strategy to compensate all generations of employees. Given the financial incentives to retain and attract the most effective staff, it is essential that reward strategies meet their objectives. All factors impacting the efficacy of reward strategies should be considered, including the impact of generational differences in preference. This is of relevance not only to the financial industry, but to all companies that employ staff across a variety of generations.Research design, approach and method: A quantitative survey design was used. A total of 6316 employees from a financial firm completed a survey investigating their experiences and perceptions of reward strategies. Statistically significant differences across different generations and reward preferences were considered.Main findings: Significant differences in reward preferences were found across generational cohorts. This supports international literature.Practical/managerial implications: The results indicate that there is an opportunity for businesses and managers to link components of the total reward strategy to specific generations in the workforce by offering a wider variety of reward options to employees. Employee perceptions indicate a willingness to have reward strategies tailored to their needs and to have a greater say in their reward strategies. The challenge is in presenting the options in a fair and transparent manner, in providing choice and in tracking long-term retention and motivation based on the reward strategy.Contribution: The study found that generations value rewards differently, which will enable management to develop more strategic approaches to reward. This research extends international evidence to include workplaces in emerging economies, which have the additional challenges of high rates of unemployment, but also scarce skills and competition for skilled staff. The findings of this research go some way to support the need to develop more dynamic, flexible and generation-specific reward strategies to support staff retention and attraction.

scholarly journals Analysis of financial development and industrial structure transformation

2021 ◽  
Vol 235 ◽  
pp. 02080
Author(s):  
Shuwei Harold Sun ◽  
Allen Wang ◽  
Huan Yu
Keyword(s):  
Financial Development ◽  
Industrial Structure ◽  
High Tech ◽  
Financial Industry ◽  
Estimation Model ◽  
Moment Estimation ◽  
Investment Structure ◽  
The Government ◽  
Role Of The Government ◽  
The Impact

This paper uses the relevant data from 2008 to 2017 to construct a multiple linear regression equation, and uses the generalized moment estimation model to explore the impact of financial development on industrial structure adjustment from the perspective of financial scale and efficiency. The results show that financial efficiency can promote the rationalization and upgrading of industrial structure, but the impact of financial scale on industrial structure is two-sided. Increasing financial scale can increase the amount of industrial financing and accelerate the process of industrial structure upgrading. However, blindly increasing the supply of loans will lead to the birth of bad investment, thus failing to promote the rationalization of industrial structure. Based on this, this paper puts forward some policy suggestions, such as promoting the diversified development of the financial industry, improving the imbalance of financial development in various provinces, promoting the reasonable investment structure and the development of high-tech industry, and giving full play to the role of the government.

scholarly journals Financial industry under the background of digital industry: A Bibliometric Analysis of Related Research

2020 ◽  
Vol 214 ◽  
pp. 03010
Author(s):  
Chung-Lien Pan ◽  
Xianghui Chen ◽  
Mei Lin ◽  
Zhuocheng Cai ◽  
Xiaolin Wu
Keyword(s):  
Social Science ◽  
Computer Science ◽  
Digital Technology ◽  
Publishing Industry ◽  
Research Field ◽  
Future Research ◽  
Research Front ◽  
Financial Industry ◽  
Research Papers ◽  
The Impact

In recent years, the innovation and breakthrough of digital technology have brought great convenience to the economic development of various sectors and People’s daily life, especially in the field of financial services. To explore the impact of digital technology on the financial industry, this paper searched 285 papers based on Web of Science (WoS) and conducted a systematic scientific metrology and literature review, providing a research front for future research. According to the research papers published between 1984 and 2020, the analysis results of co-citation and co-cited by sources, disciplines, and keywords show that in recent years, the publishing industry in this field has developed rapidly in various countries, and the research field involves such disciplines as business economics, computer science, social science, and interdisciplinary application. According to the research papers published between 1984 and 2020, the analysis results of co-citation and co-cited by sources, disciplines, and keywords show that in recent years, the publishing industry in this field has developed rapidly in various countries, and the research field involves such disciplines as business, finance; economics; computer science; social science and interdisciplinary application. Besides, American, Chinese and British institutions are also good at hosting such interdisciplinary work. And different types of keywords present important interactions in the visualization: (a) digital-based innovation, (b) big data and regulation, (c) Internet finance and financial innovation, (d) financial inclusion, (e) digital finance and risk management, and (f) mobile payment.

scholarly journals Prediction and comparison of the impact of COVID-19 epidemic on the financial industry of major countries based on neural intelligent algorithm

2020 ◽  
Vol 39 (6) ◽  
pp. 8831-8838
Author(s):  
Bin Wang ◽  
Qingyuan Zhou
Keyword(s):  
United States ◽  
Global Economy ◽  
Mutual Influence ◽  
The United States ◽  
Household Consumption ◽  
Intermediate Input ◽  
Financial Industry ◽  
Government Consumption ◽  
The Impact ◽  
The Relationship

The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected.

scholarly journals Rebalancing of exchange traded funds in stock market using option trading strategies

2021 ◽  
Vol 20 (3) ◽  
pp. 513-527
Author(s):  
Vinaykumar Elegeti
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Tracking Error ◽  
Threshold Value ◽  
Trading Strategies ◽  
Exchange Traded Funds ◽  
Dynamic Features ◽  
Financial Industry ◽  
Option Trading ◽  
The Impact

Motivation: The finance and academic industries are highly discussed in the stock market trading domain. The increase in economic globalization shows the connection among stock markets in different countries, which produces the effect of risk conduction in the market. Forecasting the direction of every day’s stock market return is important and challenging. The growing complexity and dynamic features in stock markets are difficult in the financial industry. The inflexible trading method developed by financial practitioners utilized a larger amount of stock market features and is failed to achieve a satisfactory result in every condition of the market. Further, the existing data mining approaches are incomplete and inefficient. Aim: To overcome the issues in stock and problem of existing methods, proposed option trading strategies for rebalancing Exchange Traded Fund (ETF) in the stock market. Rebalancing-ETF measure the volatility of the stock to track the error of model and rebalance the threshold quality to improve the trade. The proposed method increases the order of threshold quantity to rebalance the trade. Results: The result showed that the minimum orders increases in rebalancing trade, which reduces the impact of price formations in market. The tracking error occurs when the larger quantity of threshold value reduces the quantity. Then, the markets are changed significantly when the Net Asset Values (NAV) of rebalancing ETF increases.

scholarly journals Risk Return Performance of Bitcoin and Alternative Investment Assets in Mixed Asset Portfolios in the Years 2018 to 2020

2021 ◽  
Vol 129 ◽  
pp. 03006
Author(s):  
David Elferich
Keyword(s):  
Statistical Analysis ◽  
Financial Crisis ◽  
Value Added ◽  
Financial Industry ◽  
Paired Sample ◽  
Risk Return ◽  
Efficiency Theory ◽  
Asset Classes ◽  
The Impact ◽  
Institutional Finance

Research background: Since the financial crisis in 2008, numerous other cryptocurrencies have established themselves in the financial industry alongside Bitcoin. Although the validity of the user cases is still lacking, Bitcoin is already being used extensively in the institutional finance sector, among others. Here, the comparison of Bitcoin to other asset classes in mixed portfolio structures must be taken into account. According to the latter, far-reaching areas of investigation emerge by adding Bitcoin in the evaluation of risk-return ratios of mixed portfolio weightings. Purpose of the article: The objective of this paper is to examine, within the framework of Harry Markowitz’s efficiency theory, the impact of including Bitcoin as an investment asset for the risk-return ratios of mixed portfolio structures. Methods: The statistical analysis is based, among other things, on paired sample tests, where the return and volatility values are tested for significant differences in the selected test values. Findings & Value added: The statistical investigations show that the introduction of Bitcoin leads to advantageous return structures, but at the same time to significantly increased volatility values of the examined portfolio constellations. Setting a regional focus of the investment assets in the investigations led to a simplified evaluation basis and at the same time offers the scientific space for further investigations.

scholarly journals Factors Influencing Digital Marketing and Digital Payment on Consumer Purchase Behaviour

2020 ◽  
Vol 3 (3) ◽  
pp. 39-45
Author(s):  
Monica Tiewul
Keyword(s):  
Business Models ◽  
Low Cost ◽  
Secondary Data ◽  
Digital Marketing ◽  
Technological Advancement ◽  
Financial Industry ◽  
Payment Methods ◽  
Factors Influencing ◽  
The Future ◽  
The Impact

The issue of whether innovation and technological advancement continually bring new phenomenon remains unpredictable, especially in the financial industry. As technology and digital services continue to ingrain themselves into more aspects of lives, the financial sector has not been immuned. New technology has given way to new services and with new services comes the gradual disruption of the old. This study researched on the influence of digital marketing and digital payment on consumer purchase behaviour in Coburg, Germany. The availability of digital marketing is enabling many companies of all sizes to embrace mobile and data while adopting a ‘cloud first’ approach to redesigning their business models. This brings about the introduction of a new ‘pay-as-you-go’ business model that enables efficiency, low-cost speed to scale and creation of new, richer customer experience. This research sort to examine the impact of digital marketing on consumer purchase behaviour, assess the factors influencing consumer to patronise digital payment and examine the future of digital payment methods. In this research, primary and secondary data are utilised. The data has been analysed using descriptive and multivariate statistical methods like factor loading analysis, correlation, cross tabulation, and chi-square. From this research, it is concluded that the availability of extensive information, variety of products, level of satisfaction and level of education are the most essential factors influencing digital marketing and digital payment and this will lead to an increase in the digital payment methods with more security in the future. Also, bitcoin will not be accepted as a future digital payment method.

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm

2020 ◽  
pp. 002072092093683
Author(s):  
Yao Li
Keyword(s):  
Empirical Analysis ◽  
Financial Development ◽  
Rural Areas ◽  
Clustering Algorithm ◽  
Financial Industry ◽  
Rural Residents ◽  
Income Gap ◽  
Urban And Rural Residents ◽  
Urban And Rural Areas ◽  
The Impact

With the rise of the tertiary industry, the financial industry has achieved unprecedented development, which is mainly reflected in the rapid growth of economic aggregate, the increasingly balanced financial structure system and the increasingly diversified financial products. However, with the rapid development of financial industry, the income of urban and rural residents is increasingly unbalanced. The increasing income gap between urban and rural areas has caused a large number of adverse phenomena in the process of economic development, seriously affecting the income distribution of the people and even causing social instability. Therefore, in today’s big data era, it is necessary to systematically study and analyze the impact of financial industry development on the national income gap between urban and rural areas. At the same time, it is of great significance to improve the problem of excessive income gap between urban and rural areas. This paper mainly analyses the relationship between the three effects of the development of financial industry and the income gap between urban and rural residents. In the empirical aspect, the paper creatively uses the fuzzy Kmeans clustering algorithm to regression analysis the panel data of a certain area from 2010 to 2018. At the same time, in the empirical data analysis, this paper creatively replaces the European norm measure of the Kmeans clustering algorithm with the AE measure, and puts forward a proposal. The index of financial development level is based on the proportion of loans from financial institutions. Through theoretical and empirical analysis, this paper draws the following conclusions: the financial scale in the financial industry will have a huge impact on the income gap between urban and rural areas. Finally, based on the above problems and current situation, this paper puts forward relevant improvement suggestions.

scholarly journals Pengaruh Kepemilikan Institusional, Ukuran Dan Umur Perusahaan Terhadap Kinerja Intellectual Capital Industri Keuangan di BEI

2018 ◽  
pp. 1799
Author(s):  
Ainun Roviko ◽  
I Gusti Ngurah Agung Suaryana
Keyword(s):  
Firm Size ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Institutional Ownership ◽  
Firm Age ◽  
Financial Industry ◽  
Financial Report ◽  
The Impact

Evaluate performance intellectual capital of company is an important thing because this will contribute to the company competitive advantage in the future. This study aims to obtain empirical evidence of the impact institutional ownership, firm size and firmage on intellectual capital performance financial industry listed on Indonesian Stock Exchange 2015-2017.Intellectual capital performance measured by VAICTM. This research used non- probability sampling technique with purposive sampling method and 37 company as a sample and 111 observation. Secondary data obtained from the annual financial report of the financial industry. The result of this research indicate that institutional ownership hasnot affecting the intellectual capital performance. The result of this search also indicate that firm size and firm age has a positive effect on intellectual capital performance. Keywords : Institutional ownership, size and firm age, financial industry, intellectual capital.

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