• 제목/요약/키워드: financial information characteristics

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Psychosocial Analysis of Cancer Survivors in Rural Australia: Focus on Demographics, Quality of Life and Financial Domains

  • Mandaliya, Hiren;Ansari, Zia;Evans, Tiffany;Oldmeadow, Christopher;George, Mathew
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.5
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    • pp.2459-2464
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    • 2016
  • Background: Cancer treatments can have long-term physical, psychological, financial, sexual and cognitive effects that may influence the quality of life. These can vary from urban to rural areas, survival period and according to the type of cancer. We here aimed to describe demographics and psychosocial analysis of cancer survivors three to five years post-treatment in rural Australia and also assess relationships with financial stress and quality of life domains. Materials and Methods: In this cross-sectional study, 65 participants visiting the outpatient oncology clinic were given a self-administered questionnaire. The inclusion criteria included three to five years post-treatment. Three domains were investigated using standardised and validated tools such as the Standard Quality of Life in Adult Cancer Survivors Scale (QLACS) and the Personal and Household Finances (HILDA) survey. Included were demographic parameters, quality of life, treatment information and well-being. Results: There was no evidence of associations between any demographic variable and either financial stress or cancer-specific quality of life domains. Financial stress was however significantly associated with the cancer-specific quality of life domains of appearance-related concerns, family related distress, and distress related to recurrence. Conclusions: This unique study effectively points to psychosocial aspects of cancer survivors in rural regions of Australia. Although the majority of demographic characteristics were not been found to be associated with financial stress, this latter itself is significantly associated with distress related to family and cancer recurrence. This finding may be of assistance in future studies and also considering plans to fulfil unmet needs.

Financial Instruments Recommendation based on Classification Financial Consumer by Text Mining Techniques (비정형 데이터 분석을 통한 금융소비자 유형화 및 그에 따른 금융상품 추천 방법)

  • Lee, Jaewoong;Kim, Young-Sik;Kwon, Ohbyung
    • Journal of Information Technology Services
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    • v.15 no.4
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    • pp.1-24
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    • 2016
  • With the innovation of information technology, non-face-to-face robo advisor with high accessibility and convenience is spreading. The current robot advisor recommends appropriate investment products after understanding the investment propensity based on the structured data entered directly or indirectly by individuals. However, it is an inconvenient and obtrusive way for financial consumers to inquire or input their own subjective propensity to invest. Hence, this study proposes a way to deduce the propensity to invest in unstructured data that customers voluntarily exposed during consultation or online. Since prediction performance based on unstructured document differs according to the characteristics of text, in this study, classification algorithm optimized for the characteristic of text left by financial consumers is selected by performing prediction performance evaluation of various learning discrimination algorithms and proposed an intelligent method that automatically recommends investment products. User tests were given to MBA students. After showing the recommended investment and list of investment products, satisfaction was asked. Financial consumers' satisfaction was measured by dividing them into investment propensity and recommendation goods. The results suggest that the users high satisfaction with investment products recommended by the method proposed in this paper. The results showed that it can be applies to non-face-to-face robo advisor.

Implementation Strategy of Integrated Information Management System of University Financial Support Project

  • Lee, Hae-Gun;Shin, Seong-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.243-249
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    • 2019
  • In this paper, we proposes a comprehensive analysis of the characteristics, selection procedures, and management perspectives of each university's financial support project, and derivation of a plan to integrate the information system of the university's financial support project. To this end, we analyze the current status of business operations before and after restructuring university financial support projects, and identified the characteristics, commonalities, and differences of each project. Individual projects are promoted segmentally, evaluation indicators and evaluation methods are different for each business, standardization is difficult, and in the absence of integrated governance, sympathy and will of the system integration of the government and the managing agency cannot be found. In order to integrate the system, the business management process must be integrated and standardized, and the system equipment such as budget category adjustment must be complemented, and a stable budget for system integration must be secured.

The Consumer Financial Quotient and Demand on Financial Consumer Education of University Students (대학생 소비자의 금융 이해력 및 금융소비자교육 요구도 분석)

  • Kim, Mi-Lee;Kim, Si-Wuel
    • Journal of Families and Better Life
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    • v.29 no.4
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    • pp.109-123
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    • 2011
  • The importance of finance in our society is truly absolute, and the of financial consumers who cope with the financial environment is becoming. Recently, many authorities in Korea to perceive the absence of serious economic or financial consumer education in order to find a fundamental solution for such a phenomenon, there is a growing need to introduce financial consumer education. This study aims to review the comprehension power of finance among consumers are college students in this society the importance of finance is becoming greater, and to a way promote financial consumer education by analyzing the demand level for The main results obtained from the include the following. First, as a result of reviewing the characteristics of respondents, their average age was 21.8 years old, and on average they each had 4.16 credit cards. Most of them had no experience of receiving financial consumer education in their teenage years, and their interest level in investment was shown to be above average. Second, as a result of reviewing their comprehension power of finance, it was shown to be 64.10 points on average their comprehension of the income area was the highest, their comprehension money management was shown to be the lowest. Third, as a result of reviewing the perception level of the provision of financial consumer education, it was shown to be very low the perception level of on-line and off-line financial consumer education provided by the YMCA was shown to be the highest. Fourth, as a result of reviewing the level financial consumer education, it was shown to be very high. For the level for institutions financial consumer education, financial institutions the highest. For the level for the method of financial consumer education, respondents chose practical experience the most and education books the least. For the intention of participating in financial consumer education, most respondents that they would participate, and most of them answered that the starting period should be the teenage years and childhood Therefore, as a result, most university student's consumers have concerned on financial education and financial inportance, it need to educate for the university student's consumers, and it need to develop technical tools and contents for ficancial education.

A Study on the Acceptance of Digital Financial Services Technology for Older Adults: Focusing on the Senior Technology Acceptance Model (고령자의 디지털금융서비스 기술수용 연구: 고령자 기술수용모형(STAM)을 중심으로)

  • Myeong-A Park;Hyun-Joo Lee;Hey-Ri Shin;Young-Sun Kim
    • Journal of Information Technology Applications and Management
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    • v.31 no.3
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    • pp.119-147
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    • 2024
  • This study aims to analyze older adults's intention to use digital financial services. To verify the purpose, the '2022 Korean Senior Technology Acceptance Panel Survey' data were used. And a shortened Senior Technology Acceptance Model(STAM) reflecting the characteristics of older adults was applied. The results of Structural Equation Model analysis are as follows. First, the lower gerontechnology anxiety, the higher control beliefs reflecting perceived ease of use, self-efficacy and facilitating conditions and the intention to use digital financial services. Second, the health factor had a positive effect on the control beliefs. Third, the higher the control beliefs, the higher the attitudinal beliefs reflecting perceived usefulness and attitude and the intention to use digital financial services. Lastly, the higher attitudinal beliefs, the higher the intention to use digital financial services. The results suggest the need for interventions that can relieve gerontechnology anxiety and strengthen positive perceptions about control beliefs and attitudinal beliefs in order to increase older adults's intention to use digital financial services.

A Study on the Construction of Financial-Specific Language Model Applicable to the Financial Institutions (금융권에 적용 가능한 금융특화언어모델 구축방안에 관한 연구)

  • Jae Kwon Bae
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.3
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    • pp.79-87
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    • 2024
  • Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.

The Determinant of Investment in Research and Development Analyze - on its Market Structure and Financial Factor - (기업의 연구개발투자 결정요인분석 -시장구조 및 재무적 요인을 중심으로-)

  • Hwang, Eun-Jeong
    • Management & Information Systems Review
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    • v.21
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    • pp.239-269
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    • 2007
  • The purpose of this thesis is to analyze empirically the relationship between market structure, measured by Herfindahl-Hershmann Index(HHI), and financial factors, and innovation in Korean industry panel datasets for 2000-2006. Results show that debt ratio and scale of the firm has a consistent positive effect on the investment in research and development. As more scale of the firm is getting bigger, the investment in R&D decrease. Also, as more debt ratio of firm rise, the investment for innovation increase. Concentration ratio, the HHI and the classification factor of High-tech industry and Low-tech industry has a consistent positive effect on the innovation. Factors affecting the investment in research and development include market structure and characteristics of industry as well as the internal affairs of the firm.

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Fingerprint Information Masking Algorithm By Using Multiple LBP Features (다중 LBP 피처를 이용한 지문 정보 마스킹 알고리즘)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.281-288
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    • 2017
  • Financial service commission notified that fingerprint information of their documents should be deleted till 2019 to the financial industry and the public institution. Business solutions for fingerprint detection and masking in document images are introduced. In this paper, a fingerprint information masking algorithm is proposed by using the multiple LBP features to extract fingerprint's intrinsic characteristics for artificial neural network decision whether the candidate is a true fingerprint or not after segmentation of versatile fingerprint candidates from a document image. The experimental results of the proposed fingerprint masking algorithm for 3,497 document images that are saved in a financial industry show that 96.4% of fingerprint information is masked, hence this fingerprint masking algorithm can be used efficiently in real fingerprint masking tasks.

An Effect of CEO Characteristics and Marketing Activities on Management Performance of Fashion Corporate (패션기업의 최고경영자 특성과 마케팅 활동이 경영성과에 미치는 효과)

  • Ryou, Eun-Jeong;Ahn, Mi-Gang
    • Asia-Pacific Journal of Business
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    • v.11 no.4
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    • pp.103-119
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    • 2020
  • Purpose - This study aimed to clarify the effects of CEO characteristics and marketing activities on management performance of fashion corporate by using financial statement. Design/methodology/approach - This study collected a sample of total 170 companies that can obtain the corresponding data among fashion manufacturing companies listed on KOSPI. The data of the financial statements reported from 2011 to 2018 were analyzed. Correlation analysis and multiple regression analysis were conducted. Findings - First, the more the number of CEO and the younger the CEO, the more employee welfare and training expenditures of internal marketing. The age of the CEO had a negative effect on all external marketing activities. The CEO number had a negative effect on sales promotion and advertising expenditures, but a positive effect on entertainment expenditure of external marketing. Second, as a effect of marketing activities on management performance, the welfare and training expenditures of internal marketing and entertainment expenditure of external marketing had a positive effect but sales promotion expenditure of external marketing had a negative effect on management performance. Research implications or Originality - Marketing activities that consider the differentiated factors of fashion corporate are necessary. Also, the objective accounting information can provide practical information for fashion industry.

A Longitudinal Study on the e-Business Models of Korea and U.S. (한국과 미국 e-비즈니스 모델의 종단적 비교 분석에 관한 연구)

  • Shin Hyung-Bae;Hwang Kyung-Tae
    • Journal of Information Technology Applications and Management
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    • v.13 no.3
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    • pp.107-127
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    • 2006
  • Understanding characteristics of Internet businesses from cross-cultural perspective could offer valuable insights on developing business strategy and policy. This work is concerned with revealing divergence and convergence of Internet business models in their financial performance, given organizational conditions and cultural context. For this, we studied the association between organizational attributes (core activity, origination, firm age, and industry) and their effects on a firm's financial performance (gross revenue and net income). Relevant data was gathered from representative Internet firms in Korea and U.S. Data analysis indicated that there exist both similarities and differences between Korea and U.S and year 2003 and 2006. While core activities and industry types of U.S. firms has not been changed much between the periods, Korean firms show much difference. In addition, while core activities and industry type were found to have strong relationship with financial performance, age and origination of a firm weak connections with financial performance. This study is expected to provide a foundation for developing more robust and systematic research model and performing further empirical research in this area.

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