This paper explores firm-specific internal and external determinants of the sustainability of "the social innovative enterprise(SIE)" by conducting a case research on Fragrant People Co. In doing so, some business and policy implications have been produced concerning the components and determinants of the sustainability of the SIE. First, entrepreneurship is a necessary factor for the survival and growth of the SIE. A social entrepreneur does manage effectively social and economic opportunities for making economic and social values interact dynamically beyond their trade-off relationship and creating new market chances. Second, the SIE also needs competitive advantages as commercial enterprises do. Valuable resources to be used for taking opportunities and avoiding threats, rare resources not to be possessed by other firms, and resources not to be easily imitated by competitors are extremely necessary for achieving objectives of the SIE. In addition, a firm must be well organized for those valuable, rare, and not easily imitated resources. Economic performance achieved by the SIE gives a birth to its financial independence, contributing to the realization of symmetric social performance. Third, the SIEs will be allowed to seek symmetrically economic and social performance only when they use sufficiently competitive advantage resources with entrepreneurship, which is composed of innovativeness, proactiveness, agility and risk-taking attitudes. In doing so, financial assistance from central or local governments may not ensure the sustainability of the SIEs. In addition, vision & value sharing(person-organization fit) can ensure the sustainability of the SIEs only when it is connected with the organizational commitment.
We investigate whether the association between management overconfident tone and the level of audit effort measured by audit fees and hours differs depending on the level of earnings management. Prior studies suggest that firms led by overconfident managers are likely to initiate risky investments, report low quality financial statements, and have material weaknesses in internal control system. These characteristics, combined together, result in higher audit risk. At the same time, auditors assess audit risk based on the quality of financial reporting, measured by level of earnings management. As a result, the assess audit risk is likely to reflect the combined effect of management overconfidence and the level of earnings management. In this paper, we investigate whether auditors differentiate the effects of real earnings management (REM) and accrual-based earnings management (AEM) when they assess the audit risk related management overconfident. Using the CEO's letter published in 2018, we measure the CEO's tone representing the degree of overconfidence (i.e., activity). Based on this measure, we find that the positive association between managerial overconfident tone and audit effort is more pronounced as the level of REM is higher. However, we find that the baseline association does not vary depending on the level of AEM. These results suggest that auditors consider the managerial overconfident severer when such characteristic accompany the higher level of REM, which can be outcome of aggressive business decisions possibly leading to the higher audit risks. We further find that these results are stronger for Big 4 auditors and continuing auditors. This paper contributes to the literature and practice as follows. First, we provide contextual evidence on how auditors reflect managerial characteristics in the audit process by documenting that auditors actively increase their audit efforts only when overconfident managerial characteristics are highly likely to lead to audit risk. This result suggests that auditors conduct external auditing considering both the efficiency and effectiveness of the audit process. Second, we suggest that auditors use information obtained from a wide range of sources to identify audit risks. Our results provide evidence of how the auditing standards, which do not provide detailed guidelines for audit risk assessment, are being applied in practice. Finally, our results also enhance the understanding of how audit fees are determined. Combined with the studies related to audit pricing, we provide the important reference for discussion between the auditor and the auditee about the audit fee that has created acute tension after the enforcement of the new External Audit Act.
Bankruptcy involves considerable costs, so it can have significant effects on a country's economy. Thus, bankruptcy prediction is an important issue. Over the past several decades, many researchers have addressed topics associated with bankruptcy prediction. Early research on bankruptcy prediction employed conventional statistical methods such as univariate analysis, discriminant analysis, multiple regression, and logistic regression. Later on, many studies began utilizing artificial intelligence techniques such as inductive learning, neural networks, and case-based reasoning. Currently, ensemble models are being utilized to enhance the accuracy of bankruptcy prediction. Ensemble classification involves combining multiple classifiers to obtain more accurate predictions than those obtained using individual models. Ensemble learning techniques are known to be very useful for improving the generalization ability of the classifier. Base classifiers in the ensemble must be as accurate and diverse as possible in order to enhance the generalization ability of an ensemble model. Commonly used methods for constructing ensemble classifiers include bagging, boosting, and random subspace. The random subspace method selects a random feature subset for each classifier from the original feature space to diversify the base classifiers of an ensemble. Each ensemble member is trained by a randomly chosen feature subspace from the original feature set, and predictions from each ensemble member are combined by an aggregation method. The k-nearest neighbors (KNN) classifier is robust with respect to variations in the dataset but is very sensitive to changes in the feature space. For this reason, KNN is a good classifier for the random subspace method. The KNN random subspace ensemble model has been shown to be very effective for improving an individual KNN model. The k parameter of KNN base classifiers and selected feature subsets for base classifiers play an important role in determining the performance of the KNN ensemble model. However, few studies have focused on optimizing the k parameter and feature subsets of base classifiers in the ensemble. This study proposed a new ensemble method that improves upon the performance KNN ensemble model by optimizing both k parameters and feature subsets of base classifiers. A genetic algorithm was used to optimize the KNN ensemble model and improve the prediction accuracy of the ensemble model. The proposed model was applied to a bankruptcy prediction problem by using a real dataset from Korean companies. The research data included 1800 externally non-audited firms that filed for bankruptcy (900 cases) or non-bankruptcy (900 cases). Initially, the dataset consisted of 134 financial ratios. Prior to the experiments, 75 financial ratios were selected based on an independent sample t-test of each financial ratio as an input variable and bankruptcy or non-bankruptcy as an output variable. Of these, 24 financial ratios were selected by using a logistic regression backward feature selection method. The complete dataset was separated into two parts: training and validation. The training dataset was further divided into two portions: one for the training model and the other to avoid overfitting. The prediction accuracy against this dataset was used to determine the fitness value in order to avoid overfitting. The validation dataset was used to evaluate the effectiveness of the final model. A 10-fold cross-validation was implemented to compare the performances of the proposed model and other models. To evaluate the effectiveness of the proposed model, the classification accuracy of the proposed model was compared with that of other models. The Q-statistic values and average classification accuracies of base classifiers were investigated. The experimental results showed that the proposed model outperformed other models, such as the single model and random subspace ensemble model.
Service innovation is one means of gaining an advantage in a highly competitive environment. Although numerous studies have stressed the importance of service innovation, traditional good-dominant logic is still used in service innovation literature. Furthermore, few studies have been conducted on the link between service innovation and its antecedents in terms of service-oriented approach. To fill the gap, this article theoretically and empirically examines service innovation and its antecedents and consequences. Based on service-dominant logic and resource advantage theory, the current study aims to understand the effect of antecedents on service innovation as well as to identify the effect of service innovation on firm performance (i.e., non-financial and financial performance). Three service innovation activities, namely service creation-focused innovation, service delivery-focused innovation, and customer interaction-focused innovation, and four antecedents of service innovation, including human resource management capability, collaboration capability, marketing capability, and information technology capability, are identified based on Den Hertog (2000)'s service innovation framework. By using the empirical data collected from 189 service firms in Korea, this study explores the causal relationship among antecedents, service innovation and firm performance. Findings indicate that human resource management and marketing capabilities influence the three types of service innovation, whereas collaboration and information technology capabilities have a significant effect on both service creation-focused innovation and service delivery-focused innovation. In particular, human resource management capability is strongly related to customer interaction-focused innovation. The three types of service innovation have a positive influence on non-financial performance, whereas service delivery-focused innovation and customer interaction-focused innovation positively influence financial performance. These results support the crucial effects of antecedents, such as human resource management, collaboration, marketing and information technology capabilities, on service innovation.
This research seeks to improve the understanding of corporate social responsibility (CSR) and its advantages in the shipping sector. Recently, an improved emphasis on CSR, which incorporates environmental and social concerns into economic considerations of firms, can be found in business management and marketing literature. This is mainly because of people's increased awareness in regards to the negative consequences of corporate activities such as increased environmental pollution and gaps between the rich and the poor. According to the previous literature, it has been revealed that responsible actions by companies can generate positive outcomes in terms of financial and time aspects, but more importantly, intangible equity of the company, including improved corporate reputation, image as well as brand. As the regulation is intensifying in regards to environmental and social responsibility in the shipping sector, shipping companies are trying to engage in CSR to gain competitive advantages. While the reputation and image of shipping companies play essential roles for developing sustainable maritime transport, few studies have been conducted for how the CSR of shipping companies influence the shipping companies' reputation and image relative to other industries. In this regard, this study aims to investigate the effect of the corporate social responsibility on corporate reputation and image of shipping companies on the basis of an exploratory study in the Republic of Korea. This research would be beneficial to both academics and practitioners for developing useful CSR strategies which could promote the public's recognition of the shipping sector.
NGUYEN, Phong Anh;NGUYEN, Anh Hoang;NGO, Thanh Phu;NGUYEN, Phuong Vu
The Journal of Asian Finance, Economics and Business
/
v.6
no.3
/
pp.131-140
/
2019
The study aims to examine the impact of productivity in addition to the policy of increasing the foreign investors' ownership rate on the performance of businesses which were listed on Vietnam's stock exchange market from 2010 to 2017. With the database of 3.961 observations, the study employs a statistical method - multiple regression to estimate the relationship between labor productivity, foreign ownership as well as other firm-level characteristics and firm performance. Research findings show that increasing labor productivity and increasing foreign ownership rates help increase firm performance. In addition, except for financial leverage, variables such as liquidity and firm size have positive effects on firm performance measured by Tobin's Q. These findings have theoretical contributions and practical implications for managers, investors and government in Vietnam. Managers should pay attention to improving labor productivity through employing incentive mechanisms, building a good working environment, investing in technology, etc. in order to enhance the firm performance. Investors could utilize the labor productivity and foreign ownership indicators to select stocks of good companies for investment. For Vietnamese government, relaxing the limit of foreign ownership and accelerating the divesting of State capital in State-owned enterprises could help increase the investment scale of foreign investors and resulting in positive effects on the firm performance.
The fisheries cooperative (FC) performs the economic and nonprofitable activity to get the fundamental objective of enhancing cooperative members' economic and social position. The internal control system fitted for a local FC should be required for not only solving the resulting problem from the complexity of FC environment nowaday but also delegating authorities and performance from FC Federation to a local FC by implementing the local autonomy. The methodology of this study is to empirically test and to analyze the condition of FC internal control system (FCICS) by the questionnaire survey. The actual condition of FCICS in Korea is analyzed by the questionnaire and the detailed contents are as follows : (1) sending 208 questionnaire consisting of 162 questions, and receiving 92 replies from 39 manufactures (business firms) and 15 banks in Gyungnam and Pusan area and 25 FC and 13 agricultural cooperative (AC) in Korea, (2) the analyzed results of FC and AC are treated simultaneously. In the fundamentals of above analyzed results, the evaluation model of FCICS is tried to construct from the relationship between the financial condition of FC and the internal control elements through the stepwise regression method. (1) By the stepwise regression method, the number of FC officials $(X_1)$, the experimental number of regular auditing $(X_7)$, and auditing duty years $(X_8)$ are finally accepted as independent variables, (2) and the final model becomes $Y=-1.53526+0.34455X_1+0.24513X_7+0.16585X_8$/ and this model explains to the extent of 47.826%. From the above study, following proposals are to be suggested: (1) The function and problem of internal control in FCICS is able to be improved by enforcing the function of FCICS and enriching the management's recognition of FCICS (2) The cooperative president can bring up good FC by the rational operation of FCICS according to the size and the performance pattern of FC, adding up to enhance members' economic and social position.
Over the past three decades, the impact of information technology (IT) investments on firm performance has been the subject of active research. Despite increasing importance of research into the productivity of IT in developing countries, almost all findings on IT productivity have been based on data collected in developed countries. This study investigates the effects of IT investment on firms' financial performance in the insurance industry of Korea, which is OECD member and can be classified as a developed country in IT perspective, and in the electronics industry of China, which is a developing country, and compare them. The findings show that IT investment has a positive and significant impact on firm efficiency in both Korea and China, but a weakly positive impact on firm growth in only Korea. Moreover, the size of the impact on efficiency (ROA) in China is significantly larger than that in Korea.
The rate of conversion to Medical-juridical-persons' ownership of medical institutions has increased rapidly since its start in 1970s in Korea. The most sensitive issue to introduce for-profit medical institutions, ignited particularly by the WTO/DDA negotiations, has sparked considerable debate, stemming largely from conflicting views on the theoretical effects of ownership status on organizational behavior. This study surveyed health-related experts' opinions on allowing for for-profit-firms-owned medical institutions. Some fear that the obligation to maximize the share-holders' return on their investment will cause the medical institutions to eliminate necessary but less lucrative services. They may easily fall under more pressure to generate income, and respond more aggressively than not-for-profit medical institutions to financial pressures. Advocates of for-profit ownership of medical institutions argue that greater responsiveness to the demands of the marketplace will lead to larger investment, higher quality and lower costs to consumers. Referring to both foreign countries' experience and domestic experts' opinions, this study suggests for reform of the current Korean Medical-Juridical-Person(MJP) System. Introduction of so-called “Capital-investment” MJPs is recommended where the properties left in case of their dissolution can be distributed to original investors according to the procedures stipulated in their statutes. However, their annual profits are not allowed to be allocated to investors, but should be reinvested for their medical institutions, as is the case in current MJPs. Their legal aspects are also reviewed in this study.
Journal of the Korean Society for Library and Information Science
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v.40
no.2
/
pp.103-123
/
2006
Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.
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