• 제목/요약/키워드: Performance Determinants

검색결과 451건 처리시간 0.021초

What Exacerbates the Probability of Business Closure in the Private Sector During the COVID-19 Pandemic? Evidence from World Bank Enterprise Survey Data

  • PHAM, Thi Bich Duyen;NGUYEN, Hoang Phong
    • The Journal of Asian Finance, Economics and Business
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    • 제9권6호
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    • pp.69-79
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    • 2022
  • The purpose of the study is to look into the likelihood of private sector enterprises going bankrupt due to COVID-19 pandemic-related issues. The data for this study was taken from the World Bank's Enterprise Survey, which was intended to assess the impact of the COVID-19 pandemic on the business sector. This study uses the Ordinal Logit Method to analyze the model with dependent variables having ordinal values. The determinants reflect business performance, innovation, business relationships, and government support. According to the estimation results, a lower probability of business closures, illiquidity, and payment delays are found in businesses that maintain sales growth, operating hours, temporary workers, product portfolio, consumer demand, and input supply. Meanwhile, the increase in online business activities and receiving support from financial institutions and the government do not help businesses reduce the risk. Moreover, higher survival is found in manufacturing and developing countries. This implies the fragility of businesses in the retail and service sectors, especially for mega-enterprises in developed countries. In addition, the negative impact of the COVID-19 pandemic on businesses in Europe and West Asia is less severe than in other regions. The results imply policies to support the private sector during the pandemic, such as increasing labor market flexibility or rapidly implementing supportive policies.

사옥신축의 정보효과와 기업가치 결정요인에 대한 연구 (Information Effect of New Office Investments and Determinant of Firm Value)

  • 이진훤;이포상
    • 아태비즈니스연구
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    • 제11권3호
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    • pp.95-106
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    • 2020
  • Purpose - This study examines the information effect of the disclosure of new office investments on the Korean stock market and investigates determinant of performance of sample firms. Design/methodology/approach - The sample consists of companies listed on the Korean Exchange that announced investments in new office construction for eleven-years from January 2007 to December 2017. It analyzes excess return using event study methodology and studies the determinants of abnormal return with multiple regression analysis. Findings - We find that abnormal returns of the short and long window are positive on average and statistically significant. In particular, CAR of high growth subsample is a larger positive return than that of the low one both short and long window. Difference in abnormal returns by investment size is observed only in short time window. But there is not observed difference by cash holding level. Research implications or Originality - This finding is able to be added to the evidence of the theory of corporate value maximization academically. Moreover, it shows the possibility that building a new office can have a positive effect on corporate value. It is expected to help investors make decisions because it can provide useful information to market participants in practice.

Corporate Corruption Prediction Evidence From Emerging Markets

  • Kim, Yang Sok;Na, Kyunga;Kang, Young-Hee
    • 아태비즈니스연구
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    • 제12권4호
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    • pp.13-40
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    • 2021
  • Purpose - The purpose of this study is to predict corporate corruption in emerging markets such as Brazil, Russia, India, and China (BRIC) using different machine learning techniques. Since corruption is a significant problem that can affect corporate performance, particularly in emerging markets, it is important to correctly identify whether a company engages in corrupt practices. Design/methodology/approach - In order to address the research question, we employ predictive analytic techniques (machine learning methods). Using the World Bank Enterprise Survey Data, this study evaluates various predictive models generated by seven supervised learning algorithms: k-Nearest Neighbour (k-NN), Naïve Bayes (NB), Decision Tree (DT), Decision Rules (DR), Logistic Regression (LR), Support Vector Machines (SVM), and Artificial Neural Network (ANN). Findings - We find that DT, DR, SVM and ANN create highly accurate models (over 90% of accuracy). Among various factors, firm age is the most significant, while several other determinants such as source of working capital, top manager experience, and the number of permanent full-time employees also contribute to company corruption. Research implications or Originality - This research successfully demonstrates how machine learning can be applied to predict corporate corruption and also identifies the major causes of corporate corruption.

머신러닝을 활용한 청년 구직자의 강소기업 선호 예측모형 개발 및 요인별 상대적 중요도 분석 (Developing a Predictive Model of Young Job Seekers' Preference for Hidden Champions Using Machine Learning and Analyzing the Relative Importance of Preference Factors)

  • 조윤주;김진수;배환석;양성병;윤상혁
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.229-245
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    • 2023
  • Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

Technological Innovation and Political Stability: A Geographic Distribution of Green Trade in OIC Nations

  • Shamsa KANWAL;Irwan Shah Zainal ABIDIN;Rabiul ISLAM
    • 유통과학연구
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    • 제22권8호
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    • pp.37-53
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    • 2024
  • Purpose: Global warming is increasingly aggravated by environmental degradation, a challenge that can be mitigated through strategic logistic policies. This study introduces the dynamics of green trade in environmental goods for the Organisation of Islamic Cooperation (OIC) nations. It is a region known for its high environmental degradation, political risk and instability. This study examines how technological innovation and political factors influence the geographic distribution of green trade among OIC nations from 1994 to 2021 using the structural gravity model. The COVID-19 pandemic further emphasised the need for resilient and eco-friendly approaches. Research design, data and methodology: The main objective of the study is to analyse the impact of technological innovation along with scrutinising political determinants of green trade in the OIC region from 1994 to 2021 using the structural gravity model. Results: The results reveal geographic proximity, RTA, and innovation significantly boost green trade. Similarly, OIC's green trade performance has been impeded by high political risk and instability. Conclusions: The research recommends fostering political stability, and conducting further research using longitudinal studies and machine learning to strengthen the understanding of innovation and green trade in the OIC. This will inform policies for sustainable economic growth through green trade.

고객만족이 기업의 신용평가에 미치는 영향 (The Effect of Customer Satisfaction on Corporate Credit Ratings)

  • 전인수;전명훈;유정수
    • Asia Marketing Journal
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    • 제14권1호
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    • pp.1-24
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    • 2012
  • 본 연구는 고객만족과 기업가치 성과간의 관계를 분석하는 것이 목적이다. 기업가치성과는 주가와 신용등급으로 나눌 수 있는데, 전자는 기업의 시장가치이고 후자는 자금조달비용이라 구분하여 사용되고 있다. 고객만족과 주가와의 관계는 비교적 오래전부터 연구되어 왔으나 신용등급과의 관계는 최근 들어 연구되기 시작하였다. 대표적으로 Anderson and Mansi(2009)의 연구에서는 양자가 긍정적으로 관련된 것으로 밝혀졌으나, 윤상운(2010)이 국내자료를 사용한 연구에서는 그 관계가 입증되지 못하였다. 일치하지 않는 두 연구의 결과에서 아이디어를 얻어 본 연구에서는 고객만족이 신용등급에 긍정적 영향을 미치는 것으로 보고 이를 검증하였다. 두 연구에서 사용한 모델을 참고로 하였고 특히 우리나라 실정에서는 정부지원이 중요한 변수임을 감안하여 이를 포함한 연구모형을 설정하여 검증한 결과 긍정적 관련성이 있는 것으로 나타났다. 추가분석에서 자산규모가 큰 기업보다 작은 기업에서, 제조업보다 서비스업에서 고객만족이 신용등급에 더 유의한 긍정적 영향을 미치는 것으로 나타났다.

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참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구 (An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective)

  • 강성배;문태수;정윤
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

지식경영 기반구조가 지식경영활동과 경영성과에 미치는 영향 (The Impact of Knowledge Management-based Structure on Knowledge Management Activities and Business Performance)

  • 이재식
    • 경영과정보연구
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    • 제28권4호
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    • pp.229-252
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    • 2009
  • 본 연구는 국내 기업에 있어서 지식경영 기반구조가 지식경영활동과 기업의 경영성과에 어떠한 영향을 미치는지를 균형성과표(BSC) 모형을 통해 실증적으로 규명하고자 하였다. 그 결과, 조직구조 요인을 제외하고 조직문화, 조직관리, 정보기술 등의 지식경영 기반구조 요인은 지식경영활동에 유의적인 영향을 미치는 것으로 나타났다. 한편 지식경영활동은 재무성과를 제외하고 고객, 내부프로세스, 학습 및 성장관점의 경영성과에 유의적인 영향을 미치는 것으로 나타났다. 이러한 본 연구의 시사점 및 기여점을 정리하면 다음과 같다. 첫째, 기존 연구의 지식경영 평가는 재무적인 성과에 주안점을 두고 이루어짐에 따라 전사적 차원에서의 경영성과 측정에 한계가 있었다. 이에 본 연구는 지식경영의 도입과 추진을 통하여 나타나는 기업의 경영성과를 장기적 목표와 단기적 목표 간의 균형을 통한 객관적 측정을 도모하는 경영성과 평가도구인 BSC를 활용하여 비재무적 및 재무적 성과를 4가지 관점에서 분석함으로써 실질적이고 구체적인 지식경영 효과측정이 가능하게 되었다. 그 결과 지식경영활동이 경영성과에 긍정적인 영향을 미치는 것으로 나타났으므로 우리나라 기업들이 지식경영을 도입 추진하여 지속적으로 운영해야 할 당위성과 필요성을 제시해 준 연구라고 할 수 있다. 둘째, 본 연구의 실증분석에서 도출된 지식경영 기반구조와 지식경영활동과의 관계, 성과측정 지표는 기업들이 더욱 체계적이고 효율적인 지식경영 도입 및 실천이 이루어질 수 있도록 가이드라인 역할과, 동종 경쟁기업간 비교할 수 있는 기본 틀을 제시할 것으로 기대된다.

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운동이 유전자 조절물질에 미치는 영향에 관한 고찰 (A Review : On Exercise Performance Induction Gene Factors Change)

  • 엄기매;양윤권;김태우
    • 대한물리치료과학회지
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    • 제8권1호
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    • pp.745-758
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    • 2001
  • The purpose of study to phenomenological examine and the mechanism regarding the gene(DNA, RNA, Protein) and sports to studied, analyzed. and evaluated. This review considers the evidence for genetic effects in several determinants of endurance performance and resistance performance, namely: body measurements and physique, body fat pulmonary functions, cardiac and circulatory functions, muscle characteristics. substrate utilization, maximal aerobic power and other. Moreover, the response to aerobic training of indicators aerobic work metabolism and endurance performance is reviewed, with emphasis on the specificity of the response and the individual differences observed in training ability. This study indicate that improvement of 'Enhancer Action' in RNA genes changed by exercise or sports. Moreover exercise was effect on Central Dogma with DNA makes RNA makes Protein. and think that occurred with exercise influence on skeletal muscle into cell have to Myosin Heavy Chain (MHC) changed was after exercise performance, which accompanied into skeletal muscle that were exercise-induces gene-modulation that is, take gene mutations. This study known that existed hormone(epinephrine)-immune system with interaction. Exercise were altered insulin binding and MAP Kinase signaling increased into immune cells. This review suggested that the high rate of glutamine utilization by cells of the immune system serves to maintain a high intra cellular concentration of the intermediates of biosynthetic pathways such that optimal rates of DNA, RNA and protein synthesis can be maintained. In the absence of glutamine, lymphocytes do not proliferate in vitro: proliferation increase greatly as the glutamine concentration increase. Glutamine is synthesized in skeletal muscle. Skeletal muscle and plasma glutamine levels are lowered by sepsis, injury, bums, surgery and endurance exercise and in the overtrained athlete. The study of result show that production of ET-1 is markedly increased tissue specifically in the heart by exercise without appreciable changes in endothelin-converting enzyme and endothelial receptor expressions, suggest that myocardial ET-1 may participate in modulation of cardiac function during exercise. Conclusionally, this study indicate that improvement of 'Enhancer Action' in RNA genes changed by exercise or sports. Moreover exercise was effect on Central Dogma with DNA makes RNA makes Protein. This study is expected to contribute the area of sports science, medicine, hereafter more effort is required to establish the relation between gene alters and exercise amount.

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공급망 파트너십이 협력업체 성과에 미치는 영향 (A Study on the Impact of Supply Chain Partnership on Performance of Suppliers)

  • 박성욱;박성택
    • 디지털융복합연구
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    • 제11권10호
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    • pp.169-179
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    • 2013
  • 점차 많은 중소기업들이 글로벌 국내 대기업들이 주도하는 공급망에의 참여를 통해 지식과 기술력 습득을 도모하고 있다. 본 연구는 공급망 참여업체들이 공급망 주도기업과 2차 협력업체와의 협업을 통해 증대시킬 수 있는 경쟁력에 대한 이슈를 살펴보고, 이들 참여업체의 SCM 성과에 영향을 미칠 수 있는 선행요인에 대해 분석해보고자 한다. 대기업이 주도하는 공급망에 참여하고 있는 협력업체들의 SCM성과를 최종 종속요인으로 설정하고, 기술적 지원, 2차 협력업체와의 협업, 인센티브 및 정보공유 등의 같은 주요 선행요인 간의 상호연관관계를 분석하는데 있다. 이를 위해 대형 공급망에 참여 중인 58개 중소기업들로부터 설문조사를 실시하여 통계적 가설을 검증하였다. 분석결과, 공급망 주도기업과의 협업은 기술적 지원과 2차 협력업체와의 협업, 그리고 인센티브 등에 의해 영향을 받으며, 정보공유는 SCM 성과에 유의한 영향을 미침을 확인할 수 있었다. 다만 공급망 주도기업과의 공동노력이 SCM 성과에 미치는 영향에 관한 가설은 p값이 5%를 다소 상회하여 강한 연관관계는 도출되지 못하였다. 앞으로의 연구에 대한 몇 가지 제안도 논문 말미에 추가하였다.