• Title/Summary/Keyword: Overinvestment

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Labor Investment Efficiency and Value Relevance of Accounting Information (노동투자효율성이 회계정보의 가치관련성에 미치는 영향)

  • Cho, Jungeun
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.136-144
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    • 2020
  • Previous studies report that labor investment inefficiency occurs as the information asymmetry becomes severe and the agency problem between managers and external investors increases. Therefore, it is highly likely that managers will make opportunistic decisions that can damage corporate value in companies with high labor investment inefficiency. This study examines whether the value relevance of accounting information decreases as labor investment inefficiency increases as it is less likely that investors in the market use the accounting information of companies in which labor investment decisions are made inefficiently. Labor investment efficiency is measured as the difference between the actual level of labor investment and the expected level of optimal labor investment. Larger difference between the actual level of labor investment and the expected level of optimal labor investment is considered as higher inefficiency in labor investment. Using data of firms listed on the Korea Stock Exchange from 2002 to 2018, empirical results show that the value relevance of earnings decreases as the inefficiency of labor investment increases. This research provides empirical evidence on whether investment inefficiency in labor, which is an important factor in the competitiveness of a company, reduces the information usefulness of reported earnings.

An Importance-Performance Analysis on the e-Learning Content Components of Cyber Graduate School (원격대학원 콘텐츠 구성요소에 대한 중요도-수행도 분석: J대학 원격대학원 사례를 중심으로)

  • Lee, Jung Yull
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.303-312
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    • 2022
  • In this study, the importance-performance analysis (IPA) of the content components of remote graduate students was conducted. To this end, an online survey of 221 remote graduate students at J University obtained the following results. First, the importance of content components by area was in the order of learning content, interaction, teaching-learning strategy, and evaluation, and the degree of execution was in the order of teaching-learning strategy, interaction, evaluation, and learning content. Second, it was found that there were significant differences between importance and performance in the four areas of content components: learning content, teaching-learning strategy, interaction, and evaluation. The importance-execution analysis (IPA) was conducted in two dimensions: region-specific and item-specific, and the results are as follows. The learning content was found to be the maintenance area, the teaching-learning strategy and interaction were the key improvement areas, and the evaluation area was the overinvestment area. The results of this study can be used as basic data to diagnose the present of remote graduate school content and to gauge what needs to be improved in the future based on it.

A Study on the Analysis of Nurses' Perception of the Fourth Industrial Revolution and the Importance and Performance of Future Core Nursing Competencies in a Tertiary Hospital (일 상급종합병원 간호사의 4차 산업혁명에 대한 인식 및 미래핵심간호역량 중요도-실행도 분석)

  • Kwon, Chi Hye;Kim, Mi Soon
    • Journal of Korean Clinical Nursing Research
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    • v.29 no.1
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    • pp.95-106
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    • 2023
  • Purpose: This study is descriptive survey research on the analysis of nurses' perception of the 4th industrial revolution and the importance and performance of future core nursing competencies in a tertiary hospital located in Seoul. Methods: Data were collected from 149 nurses with more than a year of work experience and analyzed using descriptive statistics, t-test, one-way ANOVA, and Importance Performance Analysis(IPA) with the IBM SPSS/WIN 25.0 program. Results: The nurses' perception of the 4th industrial revolution was 3.23±0.71 out of 5 points. The importance of future core nursing competencies was 4.31±0.48, and the performance of it was 3.47±0.54. The analysis results of IPA showed that A (area of continuous maintenance) included critical thinking, problem-solving skills, teamwork and collaboration, evidence-based practice, communication, quality improvement and safety, professionalism, self-regulation and self-management, and personal literacy. The specific competencies were not included in B (area of priority improvement). Creativity, informatics, healthcare policy, leadership, research ability, and continuing education were included in C (area of progressive improvement). Knowledge and patient-centered care, ability to manage resources as well as professional, legal, and ethical responsibility were included in D (area of overinvestment). Conclusion: The nurses seemed not to be fully prepared for the 4th industrial revolution. However, they were well aware of the importance of the future core nursing competencies. Therefore, if nurses increase the performance of core competencies in order of priority according to the IPA results, they will be able to independently lead the changing nursing field.

Development of Road-Extension Rate Index and International Comparison of Road Stock (도로보급률 지표 개발과 OECD 국가간 도로스톡 비교)

  • Lee, Jae Hong;Kim, Hye Won;Lee, Chungwon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.357-362
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    • 2009
  • The Investment to road projects has been a hot issue in the aspect of its possible overlapping or overinvestment in Korea. Therefore, additional road construction is not always accepted in these days. This paper investigated several indices including the country index and the road-extension rate index as well as a newly developed index for identifying and comparing road stocks among the OECD countries. Furthermore, the study has estimated some reasonable amount of additional road stocks of Korea when its GDP becomes twenty thousands per capita to forty thousands per capita in future by comparing the amount of stacks of OECD countries at those times. The result can be used for setting the target of road stocks in practical manner in the absence of the universally accepted theory in the road stock provision arena.

Estimation of Proper Infrastructure Scale for Transportation Investment (교통 SOC 적정투자규모 산정방안)

  • Chung, Sung Bong;Namkung, Baekkyu;Park, Shin Hyoung;Kim, Dongsun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1347-1356
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    • 2015
  • Since 1970 transportation investment has been made rapidly, however the doubt on duplication and overinvestment of transportation facility also has been brought up. Thus the necessity for reasonable estimation of investment scale increases. In this paper various researches related to this subject are reviewed and categorized according to their methodologies, namely, the methodology using international comparison, trend of investment policy and endogenous economy development model. Based on these methodologies, AHP is applied to calculate proper investment scale. The result shows that the budget for satisfying the investment scale is estimated about 19.51~24.49 trillion won. This value is 4.28~9.26 trillion won higher than the proper investment budget established in National Fiscal Management Plan. In the future, it is necessary to establish systematic and efficient transportation investment plan by developing transportation policy model which can assess the economic feasibility, social equity and environmental soundness etc. at the same time.

Smart Factory Policy Measures for Promoting Manufacturing Innovation (제조혁신 촉진을 위한 스마트공장 정책방안)

  • Park, Jaesung James;Kang, Jae Won
    • Korean small business review
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    • v.42 no.2
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    • pp.117-137
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    • 2020
  • We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.

A Study on the Population Estimation of Small Areas using Explainable Machine Learning: Focused on the Busan Metropolitan City (해석가능한 기계학습을 적용한 소지역 인구 추정에 관한 연구: 부산광역시를 대상으로)

  • Yu-Hyun KIM;Donghyun KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.97-115
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    • 2023
  • In recent years, the structure of the population has been changing rapidly, with a declining birthrate and aging population, and the inequality of population distribution is expanding. At this point, changes in population estimation methods are required, and more accurate estimates are needed at the subregional level. This study aims to estimate the population in 2040 at the 500m grid level by applying an explainable machine learning to Busan in order to respond to this need for a change in population estimation method. Comparing the results of population estimation by applying the explainable machine learning and the cohort component method, we found that the machine learning produces lower errors and is more applicable to estimating areas with large population changes. This is because machine learning can account for a combination of variables that are likely to affect demographic change. Overestimated population values in a declining population period are likely to cause problems in urban planning, such as inefficiency of investment and overinvestment in certain sectors, resulting in a decrease in quality in other sectors. Underestimated population values can also accelerate the shrinkage of cities and reduce the quality of life, so there is a need to develop appropriate population estimation methods and alternatives.

The Association Between Accounting Conservatism and Corporate Investment Expenditure in Korean Listed Firms During the Global Financial Crisis (글로벌 금융위기가 한국 기업의 투자지출에 미치는 영향에 대한 실증적 분석: 회계보수주의를 중심으로)

  • Kim, Byoung Ho
    • International Area Studies Review
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    • v.22 no.3
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    • pp.121-148
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    • 2018
  • This paper examines the role of accounting conservatism on investment expenditure for non-financial Korean listed firms around the 2007-2008 global financial crisis using a differences-in-differences design. Specifically, this paper examines the association between an ex ante classification of firms by their level of accounting conservatism prior to the credit crisis and the ex post magnitude of the decline in investment. Consistent with prior literature, this study found that firms experienced a decline in their investment when hit by the financial crisis (Campello et al. 2010). And also this study found that firms with more conservative financial reporting experienced a smaller decline in investment activity following the financial crisis than did firms with less conservative financial reporting. Together, the results suggest that negative shocks to the supply of external finance hampers firm-level investment and that conservative financial reporting can lessen the sensitivity of firms' investment to such negative shocks. Next, this study shows that the magnitude of our findings is greater for firms more likely to suffer from underinvestment (as opposed to overinvestment). Firms that are financially constrained or have greater demand for external finance are more likely to experience underinvestment. Consistent with the predictions, this study finds stronger benefits of conservatism for firms that face relatively greater costs in raising external capital (i.e., financially constrained firms) or that have a relatively greater need to do so (i.e., firms that lack internal financial resources). This study also finds that the role for conservatism is greater in firms with a higher level of information asymmetry, consistent with the notion that conservatism mitigates financing frictions arising from information problems.