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Journal articles on the topic 'Big Data in Pension Management'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Astriawati, Rika. "Optimizing Public Policy in Developing Digital-Based Pension Funds in Indonesia." Jurnal Abdimas Peradaban 5, no. 1 (2024): 27–36. https://doi.org/10.54783/d118yn47.

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The increasing elderly population in Indonesia shows the urgent need for effective pension fund development. The gap between pension needs and fund availability adds to the urgency to improve the conventional pension system. The development of digital technology in Indonesia provides an opportunity for transformation in pension fund management, despite challenges in cybersecurity and digital literacy. This study investigates strategies for optimizing public policy in developing digital-based pension funds in Indonesia. The research method used is a qualitative approach, with data obtained from

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Zhu, Yingxin. "Intelligent Nursing System for the Elderly Based on Big Data." International Journal of Healthcare Information Systems and Informatics 19, no. 1 (2024): 1–16. http://dx.doi.org/10.4018/ijhisi.337285.

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The current problem of providing for the aged in China is extremely serious. As a weak member of society, the basic right of the elderly is the harmonious and stable development of society, especially in China, where the problem of aging is extremely severe, and the general pension institutions cannot fully and meticulously meet the precise needs of different elderly people. Therefore, this paper mainly studies the intelligent nursing system for the elderly based on big data, aiming to meet the requirements of the elderly of different ages for the elderly through the combination of big data an

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Kabade, Satish, and Akshay Sharma. "Cloud-Native AI Solutions for Sustainable Pension Investment Strategies." Cloud-Native AI Solutions for Sustainable Pension Investment Strategies 13, no. 3 (2025): 3930–39. https://doi.org/10.5281/zenodo.15597132.

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The use of cloud-native AI in pension fund investment management is rapidly transforming future financial decision-making, risk assessment, and sustainability. Taking advantage of Microsoft Azure's powerful AI and ML, pension funds can use the cloud to enhance their decision-making process by providing the best approach to investing their resources. In other words, by integrating AI into pension funds, it would be possible to personalize and diversify the portfolio and achieve ESG objectives. This paper aims to describe how the cloud- native AI solutions in Azure are o

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Xu, Guoquan, Fang-Chun Liu, Hsiao-Tang Hsu, and Jerry W. Lin. "The impact of pension governance practices on the public defined benefit pension performance." Benchmarking: An International Journal 27, no. 1 (2019): 192–214. http://dx.doi.org/10.1108/bij-08-2018-0265.

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Purpose The purpose of this paper is to investigate the impact of the public pension governance practices on the public defined benefit pension (DBP) fund performance. Design/methodology/approach To provide a holistic evaluation of public DBP performance, this study first employs the Data Envelopment Analysis (DEA) approach to construct a relative performance measure that simultaneously takes into account the association between investment inputs and performance outputs across DBPs in our sample. A DEA regression model is then constructed to empirically examine the impact of pension governance

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Kabade, Satish, and Akshay Sharma. "Intelligent Automation in Pension Service Purchases with AI and Cloud Integration for Operational Excellence." Intelligent Automation in Pension Service Purchases with AI and Cloud Integration for Operational Excellence 3, no. 1 (2023): 725–35. https://doi.org/10.48175/IJARSCT-14100J.

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Abstract: Digital transformation is the main driver for the modernization of pension services from integrated intelligent automation technologies such as Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), cloud computing. Inspired by their previous solutions across other industries, they chose to build the plugin to enhance performance of traditional pension service workflows, which are primarily manual and semi-automated and often suffer from major inefficiencies, high operational costs, compliance risk as well as poor scalability.

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Pavía, Jose M., and Josep Lledó. "qlifetable: An R package for constructing quarterly life tables." PLOS ONE 20, no. 2 (2025): e0315937. https://doi.org/10.1371/journal.pone.0315937.

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The big data revolution has greatly expanded the availability of microdata on vital statistics, providing researchers with unprecedented access to large and complex datasets on birth, death, migration, and population, sometimes even including exact dates of demographic events. This has led to the development of a novel methodology for estimating sub-annual life tables that offers new opportunities for the insurance industry, also potentially impacting on the management of pension funds and social security systems. This paper introduces the qlifetable package, an R implementation of this method

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Cheptoo, Sang Hilda, and James Kilika. "DISCRETIONARY BENEFITS AND EMPLOYEE RETENTION IN STATE AGENCIES: A CASE OF REGULATORY STATE AGENCIES UNDER THE NATIONAL TREASURY, NAIROBI CITY COUNTY, KENYA." Edith Cowan Journal of Strategic Management 1, no. 1 (2021): 10–18. http://dx.doi.org/10.55077/edithcowanjournalofstrategicmanagement.v1i1.23.

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Purpose: Retention of employees in Kenya’s state agencies has been cited as a big challenge that has continued to undermine effective and efficient service delivery to the public. Employee retention is key to these agencies and failure to retain employees significantly affects their operations thus having a great impact on their service delivery, sustainable development and contribution towards Vision 2030. This study explored the influence of discretionary benefits on employee retention in Kenya’s state regulatory Agencies operating under the National Treasury. Design/ Methodology/Appro

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Dubinin, S. "The Modern Financial Conglomerates Competition." World Economy and International Relations 65, no. 8 (2021): 14–21. http://dx.doi.org/10.20542/0131-2227-2021-65-8-14-21.

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The national and worldwide financial markets were dramatically reorganized in the after financial crisis 2007–2009 years period. The financial systems development faced new macroeconomic environment. The financial conglomerates are actively competing on the financial markets in now day situation. The financial institutes’ competitiveness is determined more and more by the factor of financial innovations on the information technology base. And the competition is escalating. This is the result of the IT companies, eCommerce firm’s invasion in the financial area. They are using the marketplace, i

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Journal, of Global Research in Electronics and Communications (JGREC). "The Impact of Digital Transformation on Annuities - Personalization, Investment Strategies, and Regulatory Challenges." Journal of Global Research in Electronics and Communications (JGREC) 01, no. 04 (2025): 01–07. https://doi.org/10.5281/zenodo.15235600.

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Annuities, as a part of retirement planning, have become an important player with tax deferral on growth and income for life to help address the longevity risk. This paper provides an exhaustive depiction of annuities, distinguishing the features of annuity customization through guaranteed periods and death benefits, and withdrawal rules, and comparing different types of annuities, e.g., single life, joint life, level, and escalating annuities. It relates the historical development of the annuity market from its modest beginnings just before the Great Depression to its expansion with economic

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Journal, of Global Research in Mathematical Archives(JGRMA). "The Impact of Digital Transformation on Annuities: Personalization, Investment Strategies, and Regulatory Challenges." Journal of Global Research in Mathematical Archives (JGRMA) 11, no. 12 (2024): 01–07. https://doi.org/10.5281/zenodo.15279540.

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Annuities, as a part of retirement planning, have become an important player with tax deferral on growth and income for life to help address the longevity risk. This paper provides an exhaustive depiction of annuities, distinguishing the features of annuity customization through guaranteed periods and death benefits, and withdrawal rules, and comparing different types of annuities, e.g., single life, joint life, level, and escalating annuities. It relates the historical development of the annuity market from its modest beginnings just before the Great Depression to its expansion with economic

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11

Darius Lado Miha, Petrus E. De Rosari, and Novi T. Kiak. "Faktor-Faktor Yang Mempengaruhi Keputusan Nasabah Memilih Produk Tabungan BritAma Bank BRI Di Kelurahan Fatukoa Kota Kupang." Moneter : Jurnal Ekonomi dan Keuangan 2, no. 2 (2024): 391–402. http://dx.doi.org/10.61132/moneter.v2i2.509.

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The main problem in this research is what factors influence customer decisions in choosing BRI Bank Britama Savings Products in Fatukoa Village. The aim of this research is to see and explain what influences the decisions of Fatukoa Village customers in saving with Britama Savings Products. This type of research uses descriptive qualitative research. The data sources in this research are primary data and secondary data. Where data collection uses interview, observation, and documentation techniques. determining informants using Purposive Sampling, totaling 6 people. The time and place of the r

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12

Šileika, Algis, and Daiva Andriušaitiene. "PROBLEMS OF IDENTIFYING AND REGULATING THE STRUCTURE OF THE LABOUR MARKET IN DEPRESSIVE LITHUANIAN REGIONS." Journal of Business Economics and Management 7, no. 4 (2006): 223–33. http://dx.doi.org/10.3846/16111699.2006.9636143.

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In order to identify labour market problems in the depressive regions of Lithuania and to provide guiding lines in the search for their solution, it is necessary to conduct a systematic analysis of the structure of employable population encompassing the characteristics of segments of employed and unemployed persons as well as individuals not registered with the official labour market. Correlation and factor analysis of eighteen macroeconomic indicators investigating into indicators of all municipalities of the country and depressive regions separately (20 municipalities where the unemployment

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13

Gitau, Olive, and Paul Sang. "Sustainable project risk and stakeholder management for pension funds projects performance in Kenya." International Journal of Research in Business and Social Science (2147- 4478) 11, no. 1 (2022): 273–82. http://dx.doi.org/10.20525/ijrbs.v11i1.1535.

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This paper aims to evaluate the sustainable project risk and stakeholder management for pension funds projects’ performance in Kenya. This paper highlights that current project management practices of Kenyan Pension Funds do not always ensure project success that secures desired market returns on these investments. The main problem with projects management practices being mentioned as planning, project implementation, cost and time overruns and quality achievement. As the pension schemes are also expected to continue to invest in alternative assets given the broadening of the allowable investm

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14

Li, Bowen, Dandan Tan, Tao Zhang, Jialin Zhao, Zihang Fei, and Junhao Zhai. "Smart Pension System Based on Big Data Mining Algorithm." Academic Journal of Science and Technology 5, no. 2 (2023): 140–43. http://dx.doi.org/10.54097/ajst.v5i2.6466.

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With the increasingly prominent problem of aging in our country, it has become an urgent task for our society to establish and improve a good old-age care system. At present, a new type of community smart elderly care model is gradually emerging, and has been actively explored and improved. In order to meet the needs of community elderly care services, big data mining algorithms are used to process data, and the smart elderly care system is connected with mobile APP and computer server equipment. Open source WebGIS technologies such as OpenLayers/Cesium, PostgreSQL/PostGIS, GeoServer, etc. are

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15

Kasemsap, Kijpokin. "Big Data Management." International Journal of Organizational and Collective Intelligence 7, no. 3 (2017): 44–55. http://dx.doi.org/10.4018/ijoci.2017070104.

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The objective of this article is to provide the advanced issues and approaches of big data management. The literature review indicates the overview of big data management; the aspects of Big Data Analytics (BDA); the importance of big data management; the methods for big data management; the privacy and security concerns of big data management; and the big data management in the health care industry. Organizations that have been successful in working with effective big data management have accomplished this issue using data to help make sense of the information. The volume of data that compani

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Troisi, Orlando, Mario D’Arco, Francesca Loia, and Gennaro Maione. "Big data management." International Journal of Engineering Business Management 10 (January 2018): 184797901876777. http://dx.doi.org/10.1177/1847979018767776.

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Orike, Sunny, and Daboso Brown. "Big Data Management." International Journal of Interdisciplinary Telecommunications and Networking 8, no. 4 (2016): 34–50. http://dx.doi.org/10.4018/ijitn.2016100104.

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Organizations and governments leverage on the potentials in data to plan and compete globally. Data from various sources are continually mined, stored in databases and utilized in a manner that improves processes, products and ensure steady profitability. The traditional relational database management systems are unable to cope with these new forms of data. The velocity, volume and variety in which data are generated qualify them as “Big Data”. This scales up the storage and processing needs of client organizations, allowing them to focus on their core areas of expertise. This paper investigat

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Rasheed, Mansoor Ahmad, Hafiz Zeeshan Ahmad, Hafiz Abdullah Tanweer, Hudabia Murtaza, Mannan Ahmad Rasheed, and Mishaal Ahmed. "Use of big data governance in several corporate sectors." VFAST Transactions on Software Engineering 9, no. 4 (2021): 92–101. http://dx.doi.org/10.21015/vtse.v9i4.729.

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Big data is rapidly in use by different organizations. It is another step towards technological advancement wsith tremendous benefits to almost all fields. Organizations need big data to find out the needs and priorities of the customers and to make strategies. A large amount of data is called big data. Big data is complex data that is not so easy to manage for that purpose big data governance is developed. It manages big data in all possible ways. The important information required is separated through big data governance techniques. This research is based on the importance of big data govern

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Gitau, Olive, and Paul Sang. "Impact Assessment for Sustainable Project Management And Pension Funds Projects Performance In Kenya." International Journal of Scientific Research and Management 10, no. 01 (2022): 2852–63. http://dx.doi.org/10.18535/ijsrm/v10i1.em3.

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Sustainability is an evolving area of research and is grabbing the attention of corporations, research communities, and regulatory bodies worldwide which had enhanced its implementation. The prevailing trend towards economic growth in developing countries has resulted in a huge demand for delivering construction projects which in turn has overshadowed sustainability concerns. Consequently, project managers in developing countries are lagging in embracing the concept of sustainability in managing projects. Specific focus has been given to construction projects in the pension industry in Kenya.

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20

Muhammad Syafriel, Novy Karmelita Indrawati, Anis Dwiastanti, and Yudhi Anggoro. "Pendampingan Pengelolaan Arsip Data Pensiun dan Pelayanan Taspen Malang." Jurnal Kemitraan Masyarakat 2, no. 2 (2025): 204–19. https://doi.org/10.62383/jkm.v2i2.1679.

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PT. Taspen is engaged in the field of Pension Insurance and Old Age Benefits with financial management and reliable services as well as quality insurance products. The purpose of this service is to assist the pension archive management process at Malang Branch. This service is descriptive using observation, interviews, documentation and literature studies. The analysis uses literature studies and direct observations in the field. Administrative activities in the service division are managing, receiving, producing and storing files into archives. Pension archive management plays an important ro

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21

Luo, Liqiong. "Analysis of Coupling Coordination Degree between Big Health Industry and Pension Service." Journal of Healthcare Engineering 2022 (March 12, 2022): 1–6. http://dx.doi.org/10.1155/2022/6427024.

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With the aging of the population, the problem of providing for the aged has been paid more and more attention. The big health industry and old-age care services will complement and promote each other in terms of industrial factors, industrial layout, and policy linkage and form a coupling effect in this process. Hospital services and pension services are professional property service formats, and they are also the exploration achievements of the property management industry in implementing the supply-side structural reform, transformation, upgrading, and development and are indispensable force

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22

Feng, Shitang. "Research on the Influencing Factors of Commercial Pension Insurance for Rural Residents in the Context of Population Aging Based on Big Data Analysis." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3962–69. http://dx.doi.org/10.12694/scpe.v25i5.3148.

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Data Pension Explorer (DAPE) introduces an innovative approach to delve into the intricacies of commercial pension insurance adoption within rural communities in China, particularly amid the challenges posed by an aging population. Leveraging advanced Deep Long Short-Term Memory (LSTM) techniques within the domain of big data analysis, this study pioneers the analysis of extensive datasets. It systematically unravels intricate patterns, correlations, and pivotal determinants shaping the landscape of pension insurance adoption in rural areas. Going beyond conventional analyses, this research pr

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Ghazi, Aqsa, and Umar Salamat. "Effective Management of Provincial Pension Liability." Journal of Finance and Accounting 13, no. 1 (2025): 1–13. https://doi.org/10.11648/j.jfa.20251301.11.

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Pension expenditures have become a critical fiscal challenge for the Government of Punjab, surging to Rs. 312 billion in the fiscal year 2022-23. The accrued pension liability now stands at Rs. 6.5 trillion, significantly constraining the government&apos;s capacity for current and development expenditures. This study explores the existing regulatory framework for pension liability management and proposes actionable solutions based on global best practices. Through a comprehensive methodology that includes literature reviews, data analysis, comparative studies of national and international

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24

Kim, JeongYeon. "Empirical Analysis of Retirement Pension and IFRS Adoption Effects on Accounting Information: Glance at IT Industry." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/809219.

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This study reviews new pension accounting with K-IFRS and provides empirical changes in liability for retirement allowances with adoption of K-IFRS. It will help to understand the effect of pension accounting on individual firm’s financial report and the importance of public announcement of actuarial assumptions. Firms that adopted K-IFRS had various changes in retirement liability compared to the previous financial report not based on K-IFRS. Their actuarial assumptions for pension accounting should be announced, but only few of them were published. Data analysis shows that the small differen

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Šuman, Sabrina. "Big Data Management Challenges." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1 (2020): 717–23. http://dx.doi.org/10.30534/ijatcse/2020/102912020.

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26

Rossi, Rogério, and Kechi Hirama. "Characterizing Big Data Management." Issues in Informing Science and Information Technology 12 (2015): 165–80. http://dx.doi.org/10.28945/2204.

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Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dime

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27

George, Gerard, Martine R. Haas, and Alex Pentland. "Big Data and Management." Academy of Management Journal 57, no. 2 (2014): 321–26. http://dx.doi.org/10.5465/amj.2014.4002.

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28

Li, Jinyan. "Research on the Social Security and Elderly Care System under the Background of Big Data." Mobile Information Systems 2023 (February 7, 2023): 1–12. http://dx.doi.org/10.1155/2023/9508018.

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In order to solve some of the problems of old-age care in the current society, combined with data mining technology, in-depth research on the current social security field of the elderly has been carried out. At present, the process of urbanization is accelerating. With the rapid increase of the urban population, the aging problem is becoming more and more serious. The pension model has attracted attention from all parties. Elderly care is facing serious aging problems and low quality and efficiency of elderly care services. One of the problems encountered in the development of elderly care is

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29

Adewumi, Samson. "Pension Management Challenges and Retirement Life Experiences: A Policy Implication." International Journal of Economics and Financial Issues 14, no. 2 (2024): 26–35. http://dx.doi.org/10.32479/ijefi.14777.

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Remarking on the discourse of pension management in Nigeria, scarce research attention can be traced to the understanding of pension management challenges and life after retirement experience through the prism of policy implication. To address this gap, the study assesses the pattern of pensioners’ life after retirement, the arrays of pension management challenges, and appropriate policy implications for effective pension management. A mixed-method research approach was employed. 345 retirees were randomly recruited and administered a questionnaire, and 18 purposively semi-structured interview

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30

Zhou, Kaile, Chao Fu, and Shanlin Yang. "Big data driven smart energy management: From big data to big insights." Renewable and Sustainable Energy Reviews 56 (April 2016): 215–25. http://dx.doi.org/10.1016/j.rser.2015.11.050.

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31

Festa, Giuseppe, Imen Safraou, Maria Teresa Cuomo, and Ludovico Solima. "Big data for big pharma." Business Process Management Journal 24, no. 5 (2018): 1110–23. http://dx.doi.org/10.1108/bpmj-10-2017-0272.

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Purpose Big pharma, which comprise the most important companies in the pharmaceutical sector, are ambidextrous organizations by nature. Big data can heavily influence this characteristic by simultaneously requiring adequate business process management. In fact, the impact of big data on business process management can assist big pharma in increasing process efficiency (which is related to the research and development pipeline) and process efficacy (related to product portfolio management). The purpose of this paper is to investigate this possibility and opportunity. Design/methodology/approach

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Bauman, Mark P., and Kenneth W. Shaw. "An Analysis of Critical Accounting Estimate Disclosures of Pension Assumptions." Accounting Horizons 28, no. 4 (2014): 819–45. http://dx.doi.org/10.2308/acch-50823.

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SYNOPSIS Accounting for defined-benefit pension plans is complex, and reported financial statement amounts are significantly impacted by a myriad of assumptions. In its interpretative release FR-72 (SEC 2003), the SEC called for more informative and transparent Management Discussion and Analysis (MD&A) disclosure of critical accounting estimates (CAE), including those regarding pension plans. This paper uses a random sample of 147 firms with relatively large defined-benefit pension plans to analyze firms' MD&A pension-related critical accounting estimate disclosures. We find that 60 (6

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Clancy, Thomas R., and Laura Reed. "Big Data, Big Challenges." JONA: The Journal of Nursing Administration 46, no. 3 (2016): 113–15. http://dx.doi.org/10.1097/nna.0000000000000307.

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Martí Ballester, Carmen Pilar. "Does Concurrent Management of Mutual Funds and Pension Plans Create Conflicts of Interest?" Ensayos de Economía 30, no. 56 (2020): 53–77. http://dx.doi.org/10.15446/ede.v30n56.78134.

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The purpose of this paper is to compare the performance of mutual funds —pension plans— whose managers simultaneously manage the assets belonging to pension plans —mutual funds— with that achieved by mutual funds —pension plans— whose managers only manage the assets belonging to mutual funds —pension plans—. To do this, we present a sample consisting of data corresponding to 115 Spanish equity pension plans and 336 Spanish equity mutual funds in relation to such aspects as risk-adjusted return, management and custodial fees, asset size, creation date, number of participants, name of the asset

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Mansur, Mansur, and Wisnu Mawardi. "The Influence Of Employer Pension Funding Size, Operational Costs, Active Management and Age On Financial Performance." Equivalent: Jurnal Ilmiah Sosial Teknik 5, no. 2 (2023): 120–31. http://dx.doi.org/10.59261/jequi.v5i2.143.

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This study aims to analyze the effect of size, operating costs, active management, and the age of Employer Pension Funds on the financial performance of Employer Pension Funds in Indonesia. The population used is the Pension Fund of Employers in Indonesia for the 2017-2021 period by taking samples through purposive sampling. The research method used is a quantitative approach by testing using multiple linear regression analysis in the SPSS program. The source of the data was obtained internally from the OJK and the published results of the JCI daily closing price. The type of data used is seco

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Ke, Ming, and Yuxin Shi. "Big Data, Big Change: In the Financial Management." Open Journal of Accounting 03, no. 04 (2014): 77–82. http://dx.doi.org/10.4236/ojacct.2014.34009.

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Huda, Ikhwanul. "The Islamic Law Perspective of Universitas Muhammadiyah Surakarta Pension Fund Management." Journal of Islamic Economic Laws 2, no. 1 (2019): 60–87. http://dx.doi.org/10.23917/jisel.v2i1.7664.

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Pension fund is one of the non-bank financial institutions that manages and implements program to generate retirement benefits. Pension fund is one of potential resources of fund which operation can be based on either conventional or Islamic principle. This research will focus on the type of contracts used by Universitas Muhammadiyah Surakarta (UMS) Pension Fund whether its operation conforms the requirements of shariah princple or not. This research aims to know, elaborate and evaluate the conformity of shariah principle in the UMS Pension Fund operation. The type of research carried out here

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Huda, M. Misbachul, Dian Rahma Latifa Hayun, and Zhin Martun. "Data Modeling for Big Data." Jurnal ULTIMA InfoSys 6, no. 1 (2015): 1–11. http://dx.doi.org/10.31937/si.v6i1.273.

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Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system

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Chen, Gang, Kenneth Kriz, and Carol Ebdon. "The effect of board composition on public sector pension funding." Journal of Public Budgeting, Accounting & Financial Management 27, no. 3 (2015): 352–76. http://dx.doi.org/10.1108/jpbafm-27-03-2015-b003.

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Public pension plans in the U.S. are seriously underfunded, especially following the financial market crisis of 2008-2009 which resulted in large investment losses. However, funding levels vary widely across plans. Pension boards of trustees make key management decisions in pension systems and these decisions have significant effects on funded levels, yet our empirical knowledge of board management is limited. This study explores the effect of board composition on pension funding levels. Existing theoretical debates lead to differing expectations, and previous studies have mixed results. Our r

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Eine, Bastian, Matthias Jurisch, and Werner Quint. "Ontology-Based Big Data Management." Systems 5, no. 3 (2017): 45. http://dx.doi.org/10.3390/systems5030045.

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khalil, Majida yaseen, and Murtadha M. Hamad. "Big Data Management Using Hadoop." Journal of Physics: Conference Series 1804, no. 1 (2021): 012109. http://dx.doi.org/10.1088/1742-6596/1804/1/012109.

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Thimmarayappa, Sanjay, and Megha V. "Big Data Privacy and Management." International Journal of Computer Applications 107, no. 6 (2014): 13–16. http://dx.doi.org/10.5120/18754-0012.

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Bischof, Christian, and Daniela Wilfinger. "Big Data-Enhanced Risk Management." Transactions of FAMENA 43, no. 2 (2019): 73–84. http://dx.doi.org/10.21278/tof.43206.

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Ge, Mouzhi, and Vlastislav Dohnal. "Quality Management in Big Data." Informatics 5, no. 2 (2018): 19. http://dx.doi.org/10.3390/informatics5020019.

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Dursun, David. "Big Data für das Management." Controlling & Management Review 63, no. 2 (2019): 46–52. http://dx.doi.org/10.1007/s12176-018-0104-0.

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Etzion, Dror, and J. Alberto Aragon-Correa. "Big Data, Management, and Sustainability." Organization & Environment 29, no. 2 (2016): 147–55. http://dx.doi.org/10.1177/1086026616650437.

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Brandl, Simon J. "Big data guides pragmatic management." Nature Ecology & Evolution 3, no. 9 (2019): 1283–84. http://dx.doi.org/10.1038/s41559-019-0957-4.

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Tagin, Nikolay E., and Irina V. Sokolnikova. "BIG DATA IN FINANCIAL MANAGEMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/11, no. 157 (2025): 209–14. https://doi.org/10.36871/ek.up.p.r.2025.04.11.029.

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With rapid technological advances and the growing amount of data in the corporate sector, the use of big data has become essential to remain competitive in the marketplace. This paper examines how big data is transforming financial management by increasing predictive accuracy and improving decision-making processes. By integrating data from various sources such as stock exchanges, banking systems and social media, financial institutions can develop more robust financial models, optimize operations and improve risk management. The article also highlights the challenges of implementing Big Data,

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Kim, Seongwook, and Sunghui Cho. "Subjective Perception on National Pension Service." Korea Academy of Case Management 12, no. 2 (2021): 121–48. http://dx.doi.org/10.38019/kacm.12.2.121.

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The purpose of this study is to provide basic data to prepare measures to improve reliability by analyzing subjective perceptions of the National Pension Service. For this purpose, six groups were interviewed according to membership type, age, and gender. As a result of the analysis, it was found that policy non-response to the National Pension Service was mainly caused by misunderstandings resulting from a lack of understanding of the system and anxiety over financial problems. In addition, it was found that there was a lot of consideration for profits such as private insurance products, and

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Ahn, Ha Eun, and Jun Yeung Hong. "Do Korean Pension Guidelines Improve Firms’ Management Efficiency?" Korean Journal of Financial Studies 51, no. 5 (2022): 611–33. http://dx.doi.org/10.26845/kjfs.2022.10.51.5.611.

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This study examines whether Korean pension guidelines that limit the payment of director show practical policy effectiveness by improving corporate management efficiency. Specifically, this study examines stickiness of pay to determine whether opportunistic executive payment existed in firms where executive pay was above 50% of articles of incorporation, before the announcement of the Korean pension guidelines. Further, we examine how executive pay stickiness has changed after the implementation of Korean pension guidelines to check whether they have been effective in improving corporate manag

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