• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.133-150
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• 2022

The purpose of this study was to develop a female entrepreneurial competency model. For the purpose, two Focus Group Interviews (FGI) were conducted with seven outstanding female entrepreneurs, and three expert reviews were conducted. In addition, in order to verify the validity of the provisional female entrepreneur competency model derived from the FGI and competency modeling expert review, the female entrepreneur competency model was finally confirmed through a survey of 442 female entrepreneurs. The results were as follows. First, a female entrepreneur competency model consisting of 6 competency groups and 25 competencies of entrepreneurship, emotion, business management, relationship management, strategic management, and multitasking, and 75 behavioral indicators describing each competency was developed. Second, sensibility and multitasking are competencies that reflect the characteristics of female entrepreneurs. In particular, 'social sense', which is the ability to be considerate of others in the emotional competency group and the ability to respond well to subtle nuances, and the multitasking competency group's unique strengths are women's ability to perform various tasks at the same time. The 'work-family control ability' of a female entrepreneur who maintains a balance between 'multi-tasking' and work and family is a representative competency of only female entrepreneurs. Third, the developed female entrepreneurship competency model is meaningful in that it not only increases female entrepreneurial competency so that prospective female entrepreneurs can successfully run a business through entrepreneurship education, but it also makes it easy for existing female entrepreneurs to reflect and improve their competencies. If we provide appropriate training programs to female entrepreneurs based on their competency, it will be possible to effectively enhance the entrepreneurial competency, which is the key to strengthening the competitiveness of female entrepreneurs. The female entrepreneur competency model developed through this study can provide a basis for future research on competency diagnosis and education needs analysis.

• Korean Journal of Poultry Science
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• v.51 no.2
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• pp.57-63
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• 2024

As global warming worsens, it is feared that higher ambient temperatures and relative humidity might result in a more intense heat stress for livestock animals, especially broilers, which lack sweat glands for thermoregulation and have been selectively bred for rapid growth. Therefore, strategic livestock management is needed to mitigate the adverse effects of heat stress on broilers. In Korea's poultry farming systems, tunnel-ventilated broiler houses and pad cooling systems are commonly installed to lower indoor temperatures during the summer. However, caution is advised with pad cooling systems as they can increase the humidity inside the houses, potentially causing further harm. This study aimed to evaluate the effectiveness of pad cooling systems in tunnel-ventilated broiler house by assessing the reduction in indoor temperature using the Temperature-Humidity Index (THI), which accounts for the impact of relative humidity. Temperature and humidity data were collected during the summer (Jun to Sep) from eight farms with tunnel-ventilated broiler house located in different regions of Korea. The farms were divided into two groups based on the use of pad cooling systems is used, and temperature and humidity data, along with THI values, were analyzed two weeks before the birds were marketed. Meta-analysis results showed that at the hottest time of the day, 14:00, farms with pad cooling systems had significantly lower indoor temperatures compared to the control group, but observed an increase in indoor temperatures by 16:00 (p<0.05). There is no significant difference in relative humidity (p>0.05). The THI values decreased in the treatment group with cooling pads compared to the control group starting from 15:00, suggesting a diminished effect (p<0.05). This study indicates the potential for developing optimal operational guidelines for cooling pads to reduce heat stress in broilers during the summer season.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.257-280
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• 2022

In this study, we analyzed comments on news articles of representative companies of the three industries (i.e., semiconductor, secondary battery, and bio industries) that had been listed as national strategic technology projects of South Korea to identify public opinions towards them. In addition, we analyzed the relationship between changes in public opinion and stock price. 'Samsung Electronics' and 'SK Hynix' in the semiconductor industry, 'Samsung SDI' and 'LG Chem' in the secondary battery industry, and 'Samsung Biologics' and 'Celltrion' in the bio-industry were selected as the representative companies and 47,452 comments of news articles about the companies that had been published from January 1, 2020, to December 31, 2020, were collected from Naver News. The comments were grouped into positive, neutral, and negative emotions, and the dynamic topics of comments over time in each group were analyzed to identify the trends of public opinion in each industry. As a result, in the case of the semiconductor industry, investment, COVID-19 related issues, trust in large companies such as Samsung Electronics, and mention of the damage caused by changes in government policy were the topics. In the case of secondary battery industries, references to investment, battery, and corporate issues were the topics. In the case of bio-industries, references to investment, COVID-19 related issues, and corporate issues were the topics. Next, to understand whether the sentiment of the comments is related to the actual stock price, for each company, the changes in the stock price and the sentiment values of the comments were compared and analyzed using visual analytics. As a result, we found a clear relationship between the changes in the sentiment value of public opinion and the stock price through the similar patterns shown in the change graphs. This study analyzed comments on news articles that are highly related to stock price, identified changes in public opinion trends in the COVID-19 era, and provided objective feedback to government agencies' policymaking.

• Asia Marketing Journal
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• v.13 no.4
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• pp.227-251
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• 2012

This study analyzed Woori Investment and Securities' industry-leading marketing from both a brand management and a marketing decision-making perspective. By executing a different marketing strategy from its competitors, Woori Investment and Securities recognized recent changes in the asset management and investment markets as an open opportunity, and quickly responded to the market changes. First, the company launched the octo brand as a multi-account product, two years before its competitors offered their own products. In particular, it created a differentiated brand image, using the blue octopus character, which became familiar to the general financial community, and was consistently employed as part of an integrated marketing communications strategy. Second, it executed a brand expansion strategy by sub-branding octo in a variety of new financial products, responding to rapid changes in the domestic financial and asset management markets. Through this strategic evolution, the octo brand became a successful wealth management brand and representative of Woori Investment & Securities. Third, it has converged market research, demand and trend analysis, and customer needs acquired through various customer contact channels into a marketing perspective. Thus, marketing has participated in the product development stage, a rarity in the finance industry. Woori Investment and Securities has a leading marketing system. The heart of the successful product creation lies in a collaboration of their customer bases among the finance companies in the Woori Financial Group. The present study suggested a corresponding strategy for octo brand, which is expected to enter into the maturity stage of its product life cycle. In addition, this study found a need to modify the current positioning strategy in order to position and preserve sustainability in the increasingly competitive asset management market. It also suggested the need for an offensive strategy to counter the number one M/S company, and address the issue of cannibalism in the Woori Financial Group.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Strategy21
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• s.32
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• pp.222-270
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• 2013

서구 근대 국제관계학의 태동은 "전쟁의 원인"을 밝혀내려고 했던 유럽 지식인들의 학문적 도전에서부터 비롯되었다고 할 수 있다. 1, 2차 세계대전의 잔혹함을 겪으면서 이들은 전쟁(특히 전쟁의 원인)에 대한 좀 더 과학적인 연구를 통해 어떻게 하면 국가들 간의 전쟁을 예방할 수 있을까에 집중해 왔다. 이러한 학문적 경향을 반영한 것이 잘 알려진 미국 미시간 대학의 "전쟁 상관성 연구 프로젝트(Correlates of War Project)"이다. 이는 나폴레옹 전쟁이 끝나고 비엔나체제가 시작된 1815년 이후 국가들 간 발생한 모든 전쟁 관련 자료를 데이터베이스화하여,국제관계학자들이 전쟁(Interstate War)이나 군사분쟁(Militarized Interstate Disputes)을 정량 또는 정성적으로 연구할 수 있도록 다양한 정보들을 제공하고 있다. 최근 Paul F. Diehl, William R. Thompson과 같은 학자들은 전쟁을 분석단위로 하는 전쟁의 원인(Causes of War)을 연구하는 학풍에서 벗어나, 국가들 간의 분쟁과 전쟁을 연구하기 위해 숙적관계(Rivalry)라는 새로운 분석의 단위를 제시하였다. 숙적관계는 국제관계에 있어서 지속적으로 분쟁 또는 전쟁을 일으키는, 즉 무력분쟁의 긴 역사를 가지고 있는, 두 국가를 일컫는다. 국가들 간의 숙적관계는 학자들에 따라 Interstate Rivalry, Enduring Rivalry, Strategic Rivalry 등 다양한 정의와 성격을 갖고 있다. 이러한 국가들의 사례로는 2차대전 이전까지 프랑스-독일 관계, 2차대전 이후 중동지역 이스라엘과 아랍국가들 간의 관계, 냉전기 미소관계, 인도-파키스탄 및 남북한 관계 등을 예로 들 수 있다. 이렇게 널리 알려진 숙적관계 외에도 남미의 칠레-아르헨티나, 에콰도르-페루와 아프리카의 소말리아-에티오피아 등 학자들에 따라 1815년 이후 약 200개의 숙적관계를 제시하고 있다. 숙적관계에 대한 연구는 기존의 전쟁의 원인 중심이었던 정량적 국제분쟁 연구에 두 국가의 분쟁역사를 포함시키는 정성적 연구를 접합시키고 있다. 본 연구는 1945년 이후 숙적관계 국가들의 관계종식과 관련하여, 거시론적이고 전체론적 접근방법(Macro - level Holistic Approach)을 제시하고 있다. 먼저 1945년 이후 발생한 국가들 간의 숙적관계 종식(Rivalry Termination)을 이해하기 위해, 거시적 관점에서 숙적관계를 발생시키게 된 역사적 원인을 살펴보고 있다. 특히 1945년 이후 숙적관계와 관련된 중요한 요인들 중에서 전쟁, 영토분쟁, 그리고 근대국가 형성에 대해 살펴보고 다음과 같은 두 가지 명제(proposition)를 제시한다. 첫째, 1945년 이후의 숙적관계 형성과 지속에는 2차대전 이후 독립국가 형성, 헌팅턴이 주장한 제3의 물결(민주화), 그리고 냉전기 미소경쟁 등의 역사적 배경이 영향을 주었다는 것이다. 둘째, 이러한 역사적 배경에 더하여 1945년 이후 숙적관계는 전쟁에 의해 시작된 숙적관계와 전쟁 없이 시작된 숙적관계 등 2가지로 나눌 수 있으며, 전쟁에 의해 시작되고 영토분쟁과 근대국가 형성 문제를 내포하고 있는 숙적관계가 그렇지 않은 숙적관계에 비해 오랫동안 지속되며 관계해결이 어렵다는 것이다. 앞서 제시된 2가지 명제들과 관련하여 본문에서는 다양한 학자들이 제시한 숙적관계 정의들에 일치하는 23개의 숙적관계(Consensus Rivalries)를 선정하여 이들에 대한 비교분석(Descriptive Analysis)을 실시하였다. 이들 사례들을 1945년 이전과 이후로 나누어, 숙적관계 형성과 종식에 있어 핵심요소인 국가들 간 힘의 차이(Power Relations), 분쟁의 주요 원인(Primary Conflict Issue), 숙적관계에 있어 다른 국가들과의 연계성(Rivalry Linkage), 전쟁의 횟수와 시기 등을 통해 비교하였다. 숙적관계의 종식과 관련하여 약소국 간의 숙적관계(Minor Dyad)가 오래 지속되고, 영토분쟁(Territorial Disputes)이 숙적관계를 지속시키는 주요인이며, 다른 숙적관계와의 연계성이 적은 숙적들이 오래 지속된다는 비교분석 결과가 나왔다. 또한 전쟁의 횟수는 숙적관계 종식에 큰 영향을 미치지 못하지만 전쟁으로 인해 시작된 숙적관계가 그렇지 않은 경우보다 더욱 오래 지속되는 것으로 확인되었다. 끝으로 2차대전 이전의 숙적관계는 대부분 전쟁을 통해 종식되었지만, 1945년 이후에는 전쟁 없이도 숙적관계가 종식된 경우가 많았음을 보여 주고 있다. 본 연구의 주목적은 "1945년 이후 형성된 숙적관계를 어떻게 종식시킬 수 있을 것인가?"라는 규범적 논제를 통해, 23개의 주요 숙적관계를 발굴하여 거시적, 역사적 관점에서 비교분석함에 있다. 이는 특히 우리나라가 처한 현실과 관련하여 중요한 시사점을 갖는다. 남북관계가 갖는 특수성보다는 1945년 이후 국제정치 역사속에서 발생한 숙적관계 현상이라는 일반성의 틀에서 남북관계를 이해하고자 했다. 남북관계를 베트남, 예멘, 독일 등 분단국가의 사례들과만 비교 연구하는 제한된 시각에서 벗어나, 인도-파키스탄, 그리스-터키, 에콰도르-페루 등 유사한 숙적들 간의 관계들과 비교하는 새로운 연구의 장을 제시하고자 한다. 따라서 앞으로 숙적관계 종식에 대한 더욱 다양화된 사례연구를 통해 한반도 분쟁해결에 필요한 새로운 교훈을 얻을 수 있을 것이다. 예를 들면 2차대전 이후 발생한 국경을 접하고 있는 비강대국들의 평화적인 숙적관계 종식에 대한 사례연구는 남북한이 앞으로 지향해야 할 방향을 제시해 줄 수 있을 것이다. 끝으로 본 연구는 특정한 정책적 함의를 도출하기 보다는 숙적관계와 관련된 하나의 거시적 이론를 제시하고, 주요 숙적관계 국가들에 대한 비교설명을 통해 현존하는 숙적관계 해결을 위한 하나의 분석의 틀을 제시하는 것으로 국제분쟁 연구에 기여하고자 하였다.

• Journal of Service Research and Studies
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• v.10 no.3
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• pp.23-42
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• 2020

This study conceptualized the essence and propensity of modern management in service age, based on philosophy, and developed items to evaluate the conceptualized content. It was carried out as a new study to deepen the study of management philosophy and management theory by the new management framework. In order to establish the philosophical foundation of the modern management, the essence of the modern management was conceptualized based on the fundamental ideas of the East and West, and then an evaluation item was developed to put the essence and propensity of the modern management into practical use through analytical and empirical methods. After analyzing the representative ideas of mankind, it was derived that the Book of Change has the qualification as a philosophical model that can derive the essence of modern management. The Book of Change explains the reasoning of the world in the structure of two opposing parties, such as Taiji or Yin and Yang, and the process of acknowledging the contradictions within each opposing party and overcoming the contradictions through change is the central idea. Because you can see. After conducting a conceptual study, through empirical research, the essence and propensity of a modern manager should be conceptualized. The concept of essence and empirical study of the modern management using the leading role was conducted in two stages. First, a qualitative study using repetitive comparative analysis (CCM), focus group interview (FGI), and text mining was conducted to derive the essential and propensity conceptualization items that modern managers should possess. In addition, a quantitative study using factor analysis to develop sample items and develop measurement items through literature review and FGI was conducted to derive the essential concept of the modern management. Finally, the essence of modern management was derived: learning, preparation, challenge, inclusion, trust, morality, and sacrifice. In the future, it is necessary to conduct empirical research on the effectiveness of the essence of modern management for global and Korean representative companies.

• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.111-131
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• 2007

As a brand becomes a core asset in creating a corporation's value, brand marketing has become one of core strategies that corporations pursue. Recently, for customer relationship management, possession and consumption of goods were centered on brand for the management. Thus, management related to this matter was developed. The main reason of the increased interest on the relationship between the brand and the consumer is due to acquisition of individual consumers and development of relationship with those consumers. Along with the development of relationship, a corporation is able to establish long-term relationships. This has become a competitive advantage for the corporation. All of these processes became the strategic assets of corporations. The importance and the increase of interest of a brand have also become a big issue academically. Brand equity, brand extension, brand identity, brand relationship, and brand community are the results derived from the interest of a brand. More specifically, in marketing, the study of brands has been led to the study of factors related to building of powerful brands and the process of building the brand. Recently, studies concentrated primarily on the consumer-brand relationship. The reason is that brand loyalty can not explain the dynamic quality aspects of loyalty, the consumer-brand relationship building process, and especially interactions between the brands and the consumers. In the studies of consumer-brand relationship, a brand is not just limited to possession or consumption objectives, but rather conceptualized as partners. Most of the studies from the past concentrated on the results of qualitative analysis of consumer-brand relationship to show the depth and width of the performance of consumer-brand relationship. Studies in Korea have been the same. Recently, studies of consumer-brand relationship started to concentrate on quantitative analysis rather than qualitative analysis or even go further with quantitative analysis to show effecting factors of consumer-brand relationship. Studies of new quantitative approaches show the possibilities of using the results as a new concept of viewing consumer-brand relationship and possibilities of applying these new concepts on marketing. Studies of consumer-brand relationship with quantitative approach already exist, but none of them include sub-dimensions of consumer-brand relationship, which presents theoretical proofs for measurement. In other words, most studies add up or average out the sub-dimensions of consumer-brand relationship. However, to do these kind of studies, precondition of sub-dimensions being in identical constructs is necessary. Therefore, most of the studies from the past do not meet conditions of sub-dimensions being as one dimension construct. From this, we question the validity of past studies and their limits. The main purpose of this paper is to overcome the limits shown from the past studies by practical use of previous studies on sub-dimensions in a one-dimensional construct (Naver & Slater, 1990; Cronin & Taylor, 1992; Chang & Chen, 1998). In this study, two arbitrary groups were classified to evaluate reliability of the measurements and reliability analyses were pursued on each group. For convergent validity, correlations, Cronbach's, one-factor solution exploratory analysis were used. For discriminant validity correlation of consumer-brand relationship was compared with that of an involvement, which is a similar concept with consumer-based relationship. It also indicated dependent correlations by Cohen and Cohen (1975, p.35) and results showed that it was different constructs from 6 sub-dimensions of consumer-brand relationship. Through the results of studies mentioned above, we were able to finalize that sub-dimensions of consumer-brand relationship can viewed from one-dimensional constructs. This means that the one-dimensional construct of consumer-brand relationship can be viewed with reliability and validity. The result of this research is theoretically meaningful in that it assumes consumer-brand relationship in a one-dimensional construct and provides the basis of methodologies which are previously preformed. It is thought that this research also provides the possibility of new research on consumer-brand relationship in that it gives root to the fact that it is possible to manipulate one-dimensional constructs consisting of consumer-brand relationship. In the case of previous research on consumer-brand relationship, consumer-brand relationship is classified into several types on the basis of components consisting of consumer-brand relationship and a number of studies have been performed with priority given to the types. However, as we can possibly manipulate a one-dimensional construct through this research, it is expected that various studies which make the level or strength of consumer-brand relationship practical application of construct will be performed, and not research focused on separate types of consumer-brand relationship. Additionally, we have the theoretical basis of probability in which to manipulate the consumer-brand relationship with one-dimensional constructs. It is anticipated that studies using this construct, which is consumer-brand relationship, practical use of dependent variables, parameters, mediators, and so on, will be performed.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.111-131
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• 2015

There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms' distress prediction in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.33-50
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• 2022

While the number of female entrepreneurs has been increasing, and female entrepreneurship has been increasingly perceived as a driving force of sustainable economic development, there is a lack of studies of female entrepreneurship, particularly in the non-Western regions. This study aims to explore current levels of entrepreneurial competences of female college students in four Asian countries (i.e., Indonesia, Korea, Philippines, and Vietnam), differences in the competences between countries, and factors affecting their entrepreneurial competences. Using online surveys, the present study collected data from 516 female Asian college students and examined their entrepreneurial competences in six dimensions-entrepreneurship, sensibility, business management, relationship management, strategic management, and multi-tasking. This study also investigated effects of four variables (i.e., entrepreneurship course taking experiences, on-campus entrepreneurship experiences, off-campus entrepreneurship experiences, and entrepreneurial intentions) on the six aspects of entrepreneurial competences. Data analysis reveals that female Asian college students as a whole group possess quite high levels of entrepreneurial competences while the Filipino students show the biggest competence in all the six dimensions measured. As regards affecting factors, this study finds that, in the total sample, regression equations are significant in all the six dimensions of entrepreneurial competences. On-campus experiences have significantly positive effects on those six dimensions while course taking experiences and entrepreneurial intentions positively affect three different dimensions each. However, out-of-campus experiences turn out to be negative though their effects are insignificant. Meanwhile, in individual samples, different factors affect different dimensions of entrepreneurial competences. Based on these findings, the present study suggests some actions for promoting female entrepreneurship and for conducting future studies.