• 제목/요약/키워드: Business Analytics

검색결과 210건 처리시간 0.029초

액터-크리틱 모형기반 포트폴리오 연구 (A Study on the Portfolio Performance Evaluation using Actor-Critic Reinforcement Learning Algorithms)

  • 이우식
    • 한국산업융합학회 논문집
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    • 제25권3호
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    • pp.467-476
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    • 2022
  • The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.

Factors Influencing Post-Adoption Resistance to Self-Order Kiosks at Fast-Food Restaurants: A Focus on the New-Silver Generation

  • Hwaran Lee;Eunkyung Kang;Kyung Young Lee;Minwoo Lee;Sung-Byung Yang
    • Journal of Smart Tourism
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    • 제3권2호
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    • pp.23-36
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    • 2023
  • Due to the phenomenon of aging, a new consumer segment known as the "new-silver generation" is emerging. Unlike the previous silver generation, this generation possesses significant economic power and consuming willingness, attracting attention from consumer goods companies. However, both the new-silver generation and the elderly face challenges in adopting contactless or self-service technologies such as self-order kiosks, resulting in negative reactions. Therefore, this study aims to investigate the attitude and response of the newsilver generation towards kiosks, as well as the factors influencing their resistance to such technology. By applying theoretical perspectives from the innovation resistance model, technostress theory, and the value-based model, this study identifies influencing factors for innovation resistance among the new-silver generation when using contactless technologies implemented in fast-food restaurants. The findings indicate that a lower awareness of new technologies and services corresponds to decreased adoption resistance, while a higher perceived value leads to more positive behaviors and attitudes among the new-silver generation utilizing kiosks at fast-food restaurants.

An Analysis of the Positive and Negative Factors Affecting Job Satisfaction Using Topic Modeling

  • Changjae Lee;Byunghyun Lee;Ilyoung Choi;Jaekyeong Kim
    • Asia pacific journal of information systems
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    • 제34권1호
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    • pp.321-350
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    • 2024
  • When a competent employee leaves an organization, the technical skills and know-how possessed by that employee also disappear, which may lead to various problems, such as a decrease in organizational morale and technology leakage. To address such problems, it is important to increase employees' job satisfaction. Due to the advancement of both information and communication technology and social media, many former and current employees share information regarding companies in which they have worked or for which they currently work via job portal websites. In this study, a web crawl was used to collect reviews and job satisfaction ratings written by all and incumbent employees working in nine industries from Job Planet, a Korean job portal site. According to this analysis, regardless of the industry in question, organizational culture, welfare support, work system, growth capability and relationships had significant positive effects on job satisfaction, while time and attendance management, performance management, and organizational flexibility had significant negative effects on job satisfaction. With respect to the path difference between former and current employees, time and attendance management and organizational flexibility have greater negative effects on job satisfaction for current employees than for former employees. On the other hand, organizational culture, work system, and relationships had greater positive effects for current employees than for former employees.

MIS Quarterly 연구동향 탐색: 토픽모델링 및 키워드 네트워크 분석 활용 (An Exploration of MIS Quarterly Research Trends: Applying Topic Modeling and Keyword Network Analysis)

  • 강은경;정연식;양선욱;권지윤;양성병
    • 지능정보연구
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    • 제28권2호
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    • pp.207-235
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    • 2022
  • 지식과 정보산업이 경제의 주축인 지식기반 사회에 있어 지식의 공유와 확산 및 체계적인 관리는 국가 경쟁력 향상뿐만 아니라 지속 가능한 사회 발전의 필수 전략으로 인식되고 있다. 정보기술과 경영의 융합이 다양한 방식으로 일어나고 있는 정보시스템(Information Systems: IS) 연구분야에서, 연구자들이 서로 협력하여 오래된 지식을 과학적 지식네트워크의 관점에서 새로운 지식으로 만들어 낼 때 비로소 지식의 진화가 일어난다. 특히, 인용과 공저, 키워드와 같은 네트워크 기반의 학제적 접목을 통해 해당 연구분야의 관심 주제와 적용된 방법론, 연구동향 등을 파악함으로써 새로운 통찰을 이끌어낼 수 있다. 선행연구에서는 연구주제와 방법론, 공동저자 등의 관계를 밝혀 해당 커뮤니티의 지식체계 구조와 연구동향을 파악하려는 다양한 시도가 있어 왔으나, 두 개 이상의 저널을 일부 기간으로 한정해서 비교한 연구가 대부분을 차지하였으며, IS 연구의 전 역사를 아우르면서 연구동향을 살펴본 연구는 부족한 실정이다. 이에 본 연구에서는 IS 연구분야에서 관련 지식을 넓히는 데 주도적인 역할을 수행하고 있는 MIS Quarterly (MISQ) 저널을 중심으로 창간호(1977년)부터 최근(2022년 1분기)까지 게재된 모든 논문으로부터 (1) 키워드를 추출하고, (2) 추출된 키워드를 연구주제와 방법론, 이론 등으로 각각 구분한 후, (3) 토픽모델링과 키워드 네트워크 분석을 활용하여 IS 연구분야의 태동부터 현재까지의 변화 양상을 연대기적으로 파악하였다. 본 연구를 통해 MISQ에 게재된 IS 연구의 변화 양상을 살펴봄으로써, IS 연구분야의 발전 방향을 예측하고, IS 분야의 연구자들에게 새로운 연구방향을 제시하여 미래 지향적인 연구를 진행하는 데 실질적인 도움을 줄 수 있을 것으로 기대한다.

Empirical Study on Digital Core-Banking System

  • Kang, Hee Yong;Weon, Dal Soo
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권2호
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    • pp.48-57
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    • 2017
  • In the last few years, banks have experienced more challenging market than any other times. They need to find new ways to reconnect with their customers and rebuild their trust. But in the race to the future some banks are taking clear lead. Research works show that while high perform leading banks are different, they also share some common characteristics and principles that have allowed them to move ahead to profitable growth. Cost cutting is no longer enough to succeed in tomorrow's world. Instead, the IT function needs to work shoulder-to-shoulder with the business to support the growth agenda. Therefore "C" level's attention is moving from cost reduction towards customer experience, speeding to market for new offerings, analytics and distribution channel enhancements, taking advantage of several levers that will shape the technology agenda for the high performing organization. Next generation of digital core-banking solutions will improve pre-existing capabilities, introduce new innovations and drive qualities such as flexibility and scalability to support time to market.

M&A 협상성과에 기업간 문화차이가 미치는 영향에 관한 연구 (An Approach on the Global Commerce Activation Regarding Culture Collision by the Use of M&A)

  • 박종돈
    • 통상정보연구
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    • 제8권2호
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    • pp.229-247
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    • 2006
  • The company culture is becoming usual term in business management field. That organization culture of these phenomenon becomes resource of company competitive power indeed, it is basing to logic for important leading person for elevation with systemicity. also, great many scholars do research to subject that is change management of company administration and there are not much example that companies succeed in change actually despite had announced treatise etc. This research tries to synthesize several research subjects by single model regarding confrontation(culture collision) phenomenon between culture that can happen in company through literature research and example analysis basically. Specially, try to classify and divide this by specific developing and arrange in each type with using much this culture analysis in negotiation analytics. Through this problem and suggestion point by this confrontation way in this culture negotiation side and culture risk management side of administration make try to.

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갑질 사례와 플랫폼 횡포 사례의 비교 분석 (A Comparison analysis of Gapjil and Platform Tyranny Cases)

  • 강병영
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권1호
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    • pp.225-240
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    • 2020
  • Purpose The purpose of this study is to identify features of Gapjil and platform tyranny through South Korea's Gapjil and platform tyranny cases and to suggest countermeasures to both kinds of cases and follow-up study subjects. Methodology/approach We examined South Korea's Gapjil and platform tyranny cases by using Big Data analytics. Then we made a close examination of the two typical cases, through which we compared features and countermeasures of Gapjil and those of platform tyranny. Findings Gapjil mostly occurred at conventional companies and franchise companies, between major and minor companies, or due to lack of owner's qualifications. The features of platform tyranny were excessively monopolistic structure of platform business, inadequate legal sanctions, and features of ICT companies. Establishment of legal bases for sanctions and education for platform participants were suggested as countermeasures.

보이스 피싱 행동 패턴 분석을 통한 상황 인지 및 사용자 의도 파악 시스템 (Situational Awareness and User Intention system with Behavior patterns Analysis of Voice Phishing)

  • 조단비;강승식
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 추계학술발표대회
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    • pp.855-857
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    • 2019
  • 개인 정보의 확산 및 유출의 문제점으로 인해 보이스 피싱의 피해 건수가 증가하고 있다. 이러한 보이스 피싱의 사회적 문제에 대하여 상황 인지 및 사용자 의도 파악 시스템을 적용하여 해결책으로 제안하고자 한다. 이 시스템은 음성 전화로 이루어지는 순차 정보를 텍스트 데이터에 기반하여 사기범의 문맥적 흐름에서 행위 동사를 추출한다. 추출된 행위 동사의 순차 정보를 통해 보이스 피싱의 상황임을 인지하고, 흐름의 행동 패턴을 분석하여 사기범의 의도를 파악한다. 이러한 상황 인지 및 사용자 의도 파악 시스템은 개인 정보의 문제뿐만 아니라 경제적 피해 규모를 축소시킬 것으로 예상된다.

A Study on the Calculation and Provision of Accruals-Quality by Big Data Real-Time Predictive Analysis Program

  • Shin, YeounOuk
    • International journal of advanced smart convergence
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    • 제8권3호
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    • pp.193-200
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    • 2019
  • Accruals-Quality(AQ) is an important proxy for evaluating the quality of accounting information disclosures. High-quality accounting information will provide high predictability and precision in the disclosure of earnings and will increase the response to stock prices. And high Accruals-Quality, such as mitigating heterogeneity in accounting information interpretation, provides information usefulness in capital markets. The purpose of this study is to suggest how AQ, which represents the quality of accounting information disclosure, is transformed into digitized data in real-time in combination with IT information technology and provided to financial analyst's information environment in real-time. And AQ is a framework for predictive analysis through big data log analysis system. This real-time information from AQ will help financial analysts to increase their activity and reduce information asymmetry. In addition, AQ, which is provided in real time through IT information technology, can be used as an important basis for decision-making by users of capital market information, and is expected to contribute in providing companies with incentives to voluntarily improve the quality of accounting information disclosure.

Cloud Computing Platforms for Big Data Adoption and Analytics

  • Hussain, Mohammad Jabed;Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.290-296
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    • 2022
  • Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).