• 제목/요약/키워드: Empirical Data Analysis

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재택근무가 업무 생산성에 미치는 영향과 업무 특성의 조절 효과: 대규모 현장 데이터를 활용한 실증 분석 (The Productivity Impact of Working from Home and the Moderating Effect of Task Characteristics: An Empirical Investigation of Field Data)

  • 김재영;이동주
    • 아태비즈니스연구
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    • 제15권1호
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    • pp.113-129
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    • 2024
  • Purpose - This study aims to empirically identify the quantitative effects of work from home (WFH) on employee productivity using field data. Design/methodology/approach - Based on large-scale field data from a South Korean company which introduced the WFH arrangement in 2020, we conducted fixed effect and moderating effect analyses using individual-level panel data over sixty-three weeks. Findings - The empirical analysis generated several findings. It was found that overall, WFH has a positive effect on productivity. However, the productivity impact of WFH was found to vary depending on task characteristics. Specifically, WFH led to over 20% increase in productivity for simple and repetitive tasks. On the other hand, no significant productivity impact was observed for professional and knowledge-based tasks. Research implications or Originality - As the first study based on field data from South Korea, this study offers convincing causal evidence of the moderating impact of task characteristics on the relationship between WFH and productivity. Further, the above findings provide managers with practical insights concerning their work arrangement decisions.

Marketing Strategies for Improving Customer Attitude Using Airline Advertising Model: Focusing on Corporate Image and Brand Loyalty

  • OH, Ah-Hyun;PARK, Hye-Yoon
    • 유통과학연구
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    • 제18권4호
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    • pp.13-26
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    • 2020
  • Purpose: In this study, we will explore how the attributes of the airline's advertising model affect the corporate image and brand loyalty and the medium effect of the corporate image. Research design, data and methodology: Data collection for empirical analysis of this study was conducted online for about seven months from Jan. 2 to July 12, 2019, and was confirmed as part 292 of the final effective sample and used for demonstration analysis. Results: The property of the advertising model shown to have a significant impact in corporate image and brand loyalty. The property of the advertising, reliability and professionalism shown to have an impact in the social responsibility, but attractiveness is its responsibility and brand loyalty. Corporate images have been shown to play a meaningful role in the impact of advertising models on brand loyalty. Conclusions: The attributes of the airline's advertising model are divided into four categories, and reliability has the most influence on the image of a company and the formation of brand loyalty. The impact of the attributes of the advertising model on the relationship between corporate image and brand loyalty was investigated through an empirical analysis, and several implications were derived.

가상기업의 성공적 구현을 위한 영향요인에 관한 연구 -자동차부품산업을 중심으로- (An Empirical Study on The Influence Factor of Virtual Enterprise Implementation in Automobile Part Industry)

  • 문태수
    • Journal of Information Technology Applications and Management
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    • 제10권3호
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    • pp.121-142
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    • 2003
  • Most of companies related to the area of B2B electronic commerce are making their efforts to innovate their existing business process into new designed process based on the concept of virtual enterprise. Virtual enterprise can take on many forms and definitions. Nevertheless, the rationale for this business model is clear cooperate to compete, the virtual organization advocates collaboration, partnerships, alliance and similar ideas. This studyintends to suggest an empirical clue to test several hypotheses related to the influence of environmental. organizational, and technological factor to the successful implementation of virtual enterprise in automobile industry. This research surveyed 91 corporations in Korean automobile part industry. Among those samples 86 data of corporate general managers turned out to be statistically valid. This study performed the factor analysis, Cronbach-alpha test. Pearson correlation analysis for testing the validity and the reliability of this research. The results of factor analysis and reliability test indicate that thirty issues to be surveyed are to be grouped into nine factors. The result of multiple regression shows that the influencing factors of eight independent variables on a dependent variable are cooperation between partners, information intensity, IT compatibility, IS maturity. The partners in the strategic alliance will have to trust each other in carrying out their designated roles and responsibilities. and supplying the correct information critical for creating value in virtual business environment.

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호텔 객실판매 예측에 관한 실증적 연구 - 서울지역 특급호텔을 중심으로 - (Empirical Study on the Forecasting of the Hotel Room Sales)

  • 한승엽
    • 산학경영연구
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    • 제4권
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    • pp.281-295
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    • 1991
  • Nothing is more incorrect than forecasting. Nevertheless, forecasting is one of the most important business activities for the effective management. There has been rapid changes of the growth rate in every respect of the Korean hospitaity industry, especially the hotel industry, before and after the 88 Olympic Games. Therefore, the hoteliers shall be in need of more-than-ever accourate demand forecasting for the more systematic management and control. Under the above circumstances, this study suggested the best forecasting technique and method for the better sales and operations of the hotel rooms. The number of rooms sold is selected as a dependent variable of this study which is regarded as the best representative factor of measuring the growth rate of the rooms division performance of the hotels. The first step was to select the most verifiable independent variable diferently from the other countries or other areas of Korea. As a result, the number of foreign visitors was chosen. Empirical research, i.e. correlation and multiple regression analysis, shows that this independent variable has a strong relationship with the dependent variable told above. The second procedure was to estimate the number of rooms will be sold in 1991 on the basis of the formula calculated through the multiple regression analysis. Time series technique was conducted using the data of the number of foreign visitors by purpose of travel from 1987 to 1990. For the more correct forecasting, however, it would be desirable to adopt the data from 1989 considering the product or the industry life cycle. In addition, deeper analysis for the monthly or seasonal forecasting method is needed as a future research.

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중국 스트리트 패션의 지역적 특성에 따른 선호 원피스 디자인 분석 - 2012년 S/S 중국 베이징, 심천 중심으로 - (A Comparative Study of One-piece Dress Design based on Regional Characteristics of Street Fashion In China - Focused on Beijing, Shenzen in 2012 S/S -)

  • 유정민;이인성
    • 복식
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    • 제64권6호
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    • pp.161-175
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    • 2014
  • This paper investigates the differences between characteristics of street fashions due to regional and cultural differences in southern and northern region of China. Beijing and Shenzhen were chosen as representative cities for the two areas. Empirical research and literature study were performed for this study. Empirical studies were performed by using a total of 708 images of dresses, which were collected through direct imaging. Through discussion with experts, the collected data were classified into five categories; Modern trendy, Romantic, Easy casual, Ethnic, and Classical/Traditional. The data was analyzed by using cross tabulation and frequency analysis. Content analysis for each category was also conducted. As a consequence of this study, a significant difference between Beijing and Shenzhen were observed. As a city, which puts emphasis on practicality and modernity, Beijing showed a higher frequency of modern and trendy style than the other city. On the other hand, Shenzhen showed a higher frequency of romantic style and was distinguished as a city of femininity and decorative preference of fashion style. This study intends to contribute to the academic community of Chinese fashion and to help Korean clothing companies to be launched in Chinese market in the future.

The Effect of Corporate Social Responsibility Activities on Investors' Heterogeneous Beliefs: A Study of Korea's Data Set

  • JUNG, Hyun-Uk;MUN, Tae-Hyoung;KIM, Young Ei
    • The Journal of Asian Finance, Economics and Business
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    • 제7권10호
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    • pp.95-107
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    • 2020
  • This study analyzes the effect of corporate social responsibility (CSR) activity on investors' heterogeneous beliefs. The hypothesis of this study is based on the conflicting effects of CSR activities on firm value and earning's quality. Investors' heterogeneous beliefs used in the empirical analysis of this study are trading volume, and CSR activity is measured by the KEJI Index (Korea Economic Justice Institute Index). This study performs an empirical analysis using regression analysis including control variables. CSR activities are found to have a positive relationship with trading volume. This is consistent regardless of the low and high accounting information (earning's quality). It can be interpreted that Korea's CSR activity acts as an incentive to increase investors' heterogeneous beliefs about target companies. In other words, it implies that the investor judges CSR activities negatively when evaluating firm value. This study could have a policy implication in that it analyzes how CSR activities affect investors' decision-making. In other words, this study analyzed CSR activities from the perspective of shareholders. Therefore, this study is expected to provide useful information for policymaking by regulatory agencies. In particular, its contribution is to presents data that CSR activities can be a negative factor in evaluating firm values.

Estimation of saturated hydraulic conductivity of Korean weathered granite soils using a regression analysis

  • Yoon, Seok;Lee, Seung-Rae;Kim, Yun-Tae;Go, Gyu-Hyun
    • Geomechanics and Engineering
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    • 제9권1호
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    • pp.101-113
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    • 2015
  • Saturated soil hydraulic conductivity is a very important soil parameter in numerous practical engineering applications, especially rainfall infiltration and slope stability problems. This parameter is difficult to measure since it is very highly sensitive to various soil conditions. There have been many analytical and empirical formulas to predict saturated soil hydraulic conductivity based on experimental data. However, there have been few studies to investigate in-situ hydraulic conductivity of weathered granite soils, which constitute the majority of soil slopes in Korea. This paper introduces an estimation method to derive saturated hydraulic conductivity of Korean weathered granite soils using in-situ experimental data which were obtained from a variety of slope areas of South Korea. A robust regression analysis was performed using different physical soil properties and an empirical solution with an $R^2$ value of 0.9193 was suggested. Besides that this research validated the proposed model by conducting in-situ saturated soil hydraulic conductivity tests in two slope areas.

Application of artificial neural networks for dynamic analysis of building frames

  • Joshi, Shardul G.;Londhe, Shreenivas N.;Kwatra, Naveen
    • Computers and Concrete
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    • 제13권6호
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    • pp.765-780
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    • 2014
  • Many building codes use the empirical equation to determine fundamental period of vibration where in effect of length, width and the stiffness of the building is not explicitly accounted for. In the present study, ANN models are developed in three categories, varying the number of input parameters in each category. Input parameters are chosen to represent mass, stiffness and geometry of the buildings indirectly. Total numbers of 206 buildings are analyzed out of which, data set of 142 buildings is used to develop these models. It is demonstrated through developed ANN models that geometry of the building and the sizes of the columns are significant parameters in the dynamic analysis of building frames. The testing dataset of these three models is used to obtain the empirical relationship between the height of the building and fundamental period of vibration and compared with the similar equations proposed by other researchers. Experiments are conducted on Mild Steel frames using uniaxial shake table. It is seen that the values obtained through the ANN models are close to the experimental values. The validity of ANN technique is verified by experimental values.

Globalization Impact on Small and Medium Enterprise: Tanzania Case

  • Aligaesha, Baraka;Park, Byungjoo;Chang, Byeong-Yun
    • International Journal of Internet, Broadcasting and Communication
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    • 제11권4호
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    • pp.65-70
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    • 2019
  • We are looking the impact associated with globalization in favor of small and medium enterprises (SMEs) growth and how helped to reduce the obstacle facing SMEs growth. We used empirical analysis in order to examine the relationship underlying the globalization and its impact to SME growth. We employed primarily data from Tanzania SMEs. Further we seeks to explain the negative notion that has been created that globalization is not friendly to SME growths. We employed primary data from Tanzania SMEs. The partial least squares (PLS) was used for analysis. The conclusion has indicated that globalization has a relationship with SMEs growth and has contributed to the reduction of obstacles that inhibit SMEs growth. However study confirmed controversial result on part of availability of managers and manpower with global perspectives to influence SMEs growth. The test accepted that globalization has influenced availability of managers with global perspectives but reject the availability of these managers influences the SMEs growth The results give a clear outlook to help policy maker in policy review process, formulate base for extensive study on issues for manager perspectives and draw intervention.

The Effect of Fraud Pentagon Theory on Financial Statements: Empirical Evidence from Indonesia

  • DEVI, Putu Nirmala Chandra;WIDANAPUTRA, Anak Agung Gde Putu;BUDIASIH, I Gusti Ayu Nyoman;RASMINI, Ni Ketut
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.1163-1169
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    • 2021
  • This study aims to obtain empirical evidence regarding the effect of the fraud pentagon theory on financial statement fraud. The novelty of this study is the use of factor analysis to consolidate the five elements of the fraud pentagon into just one factor, which, to the knowledge of the researcher, no one else has done to research the effect of pentagon fraud on financial statement fraud. This study uses both agency theory and fraud pentagon theory. The population of this study consists of state-owned companies listed on the Indonesia Stock Exchange. The research period in this study is from 2014 to 2019. The data used in this study is secondary data obtained from the company's annual financial statements. A purposive sampling technique was used to determine the research sample. The selected companies total 20. Factor analysis and simple linear regression analysis method were used as research the methods. Based on the research results, it was found that the fraud pentagon theory had a positive effect on the financial statement fraud of state-owned companies listed on the Indonesia Stock Exchange. High level of the pentagon fraud on a company leads to a higher indication of financial statement fraud.