Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.1
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pp.95-112
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2020
This paper is to investigate how cognitive bias of college students and entrepreneurs relates to perceived risks and entrepreneurial opportunities that represent uncertainty, and how various cognitive bias and entrepreneurial efficacy In the same way. The purpose of this study is to find improvement points of entrepreneurship education for college students and to suggest problems and improvement possibilities in the decision making process of current entrepreneurs. This empirical study is a necessary to improve the decision-making of individuals who want to start a business at the time when various attempts are made to activate the start-up business and increase the sustainability of the existing SME management. And understanding of the difference in opportunity evaluation, and suggests that it is necessary to provide good opportunities together with the upbringing of entrepreneurs. In order to achieve the purpose of the study, questionnaires were conducted for college students and entrepreneurs. A total of 363 questionnaire data were obtained and demonstrated through structural equation modeling. This study confirms that there is some relationship between perceived risk and cognitive bias. Overconfidence and control illusions among cognitive bias have a significant relationship between perceived risk and wealth. Especially, it is confirmed that control illusion of college students has a significant relationship with perceived risk. Second, cognitive bias demonstrated some significant relationship with opportunity evaluation. Although we did not find evidence that excess self-confidence is related to opportunity evaluation, we have verified that control illusions and current status bias are related to opportunity evaluation. Control illusions were significant in both college students and entrepreneurs. Third, perceived risk has a negative relationship with opportunity evaluation. All students, regardless of whether they are college students or entrepreneurs, judge opportunities positively if they perceive low risk. Fourth, it can be seen from the college students 'group that entrepreneurial efficacy has a moderating effect between perceived risk and opportunity evaluation, but no significant results were found in the entrepreneurs' group. Fifth, the college students and entrepreneurs have different cognitive bias, and they have proved that there is a different relationship between entrepreneurial opportunity evaluation and perceived risk. On the whole, there are various cognitive biases that are caused by time pressure or stress on college students and entrepreneurs who have to make judgments in uncertain opportunities, and in this respect, they can improve their judgment in the future. At the same time, university students can have a positive view of new opportunities based on high entrepreneurial efficacy, but if they fully understand the intrinsic risks of entrepreneurship through entrepreneurial education and fully understand the cognitive bias present in direct entrepreneurial experience, You will get a better opportunity assessment. This study has limitations in that it is based on the fact that university students and entrepreneurs are integrated, and that the survey respondents are selected by the limited random sampling method. It is necessary to conduct more systematic research based on more faithful data in the absence of the accumulation of entrepreneurial research data. Second, the translation tools used in the previous studies were translated and the meaning of the measurement tools might not be conveyed due to language differences. Therefore, it is necessary to construct a more precise scale for the accuracy of the study. Finally, complementary research should be done to identify what competitive opportunities are and what opportunities are appropriate for entrepreneurs.
Journal of Korea Society of Industrial Information Systems
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v.15
no.5
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pp.287-298
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2010
As business needs are accelerating exponentially due to globalization and other market forces, companies regardless of its size need data which can operate flexibly and rapidly across disappearing physical and organizational borders. To meet the growing Enterprise Resource Planning [ERP] needs for small and medium sized firms, large ERP vendors have introduced new and inexpensive products to these markets. They can customize to businesses of all sizes as long as they have the need for the services and the budget to support the system. Based on the observations in this research, most ERP vendors, regardless of their size, are now focusing more on improving the implementation curve and reporting capabilities through compartmentalizing business applications along industry verticals. Also ERP systems are becoming more open thereby consultants and subject matter experts now have the opportunity to create modules based upon verticals to form a best-of-breed ERP implementation. of enterprises.
Coastal economic activities usually generate externalities to other economic activities. The conflicts between coastal economic activities, especially land fillings and reclamations, and fisheries in coastal waters pose a typical one, which sometimes causes some social conflicts. In this regard, as the contents and requirements for rules and regulations on fisheries compensation may have important implications for solving such problems, important is to review rationales fur the formulas in calculating fisheries compensation. The purpose of this paper is to review the formulas for fisheries compensation from the economic view points, to highlight some problems and to suggest more appropriate formulas. It is found that the current formulas of fisheries compensation are not properly based on economic concepts and valuation techniques. Main problems are related, as followings, to the coefficient(0.8) employed in the formula, to fishermen's own wages and to current values of invested assets such as fishing boats and nets, etc.. First, it is not clear what the coefficient(0, 8) means. In Japan's case, the coefficient was assumed to reflect the opportunity cost of fishermen's own wages, but it was disappeared from the formula after the self-wage came to be included in totaling fishing cost. As our new formula will include the self-wage in fishing cost, the coefficient(0.8) should be excluded. Second, according to our formula, the current value of invested assets is added to total operating compensation, which will overestimate total compensation. Therefore, it is suggested that total present value of the assets to be invested during the business life should be deducted from total operating compensation. Third, as the self-wage will be included in total cost, opportunity cost for finding new jobs should be newly added to the formula. Finally, this paper also conducted a comparative case study considering above-mentioned factors. The case study showed that the current formulas overestimated total fisheries compensation.
The Korean government submitted the Intended Nationally Determined Contributions (INDC) to UNFCCC which aims to reduce 37% greenhouse gas emission for the opportunity of developing new energy industry and industry innovation by 2030 compared with Business-As-Usual scenario taking into account its international responsibilities and hosting headquarters of Green Climate Fund (GCF) secretariat. The 37% reduction is composed of 25.7% in the domestic markets and 11.3% in the international carbon markets. To achieve the reduction target in the international carbon market mechanisms, it must use the linkage of international carbon markets and develop new renewable energy technology for CDM and ODA. Finally, it must improve carbon capture storage (CCS) technology and establish domestic CCS institutional systems as soon as possible. And, it must activate CCS information exchange for the international cooperation on UNFCCC movement.
The Ministry of Maritime Affairs and Fisheries is supporting the "Environmentally Friendly Fisheries Promotion and Private Assistance Project" to increase production of eco-friendly, high-value-added foods. Private-backed operators selected for the project will have an economic opportunity to build, expand or refurbish eco-friendly fishing grounds. To facilitate this, the scope of project support was expanded after 2015 and an opportunity was prepared for private subsidy projects to grow to a new level in terms of quality and quantity by switching to a public offering project. However, starting in 2017, demand from the private sector will plunge and selected projects will be delayed or the project implementation rate will be lowered. It was a time for subsidy-related laws and systems to be reinforced but private subsidy projects do not temporarily shrink simply due to the increased administrative burden on private subsidy operators on subsidy management. It plans to review the correlation between laws and systems related to the construction of fish farms and suggest ways to enhance the efficiency of implementation so that economic advantages, the biggest advantage of the private subsidy project, can be recovered within the current legal system.
Rrecently, companies have made great efforts to satisfy various needs and heightened expectations of customers, and the importance of customer center as customer contact department for customer relationship management is increasing. In the knowledge ecosystem, corporate customer centers are emerging as a new alternative to acquiring corporate competitiveness by increasing sales and increasing market share by improving marketing support activities and customer relationship management at customer contact points. As a result, the interest in the customer center has increased rapidly because it provides the opportunity to contact with the customer. In addition, in the era of the fourth industrial revolution, the customer center, which is a collection of information and communication technologies, has a big databased voice recognition technology to elaborate customer service, thereby enhancing customer satisfaction and contributing to marketing through continuous interaction with customers. Of course, we have the opportunity to transform into the frontline business intelligence front for customer knowledge. This study is a comparative case study on how the customer center of K Life Insurance that takes the lead in the customer center industry has successfully renewed and established their key information systems to improve customer services and reinforce marketing support competencies. Based on the above, this study will present factors affecting successful implementation and settlement of the customer service information systems of customer centers by independently analyzing two individual cases.
Business model innovation creates differentiated value to customers by transforming various elements of doing business. Rather than focusing singularly on either the external or internal environment, the business model innovation aims to identify the optimal combination of internal resources, competence, and the external factors, such as customer's needs and new opportunity. However, due to lack of clear definition of business model innovation, and inability to generate company's core business model, business model innovation has been difficult for companies to lead next growth. This paper reviews existing definitions of business model innovation and explore existing types of business model innovation and timing of business model innovation through two case studies. Concept of business model innovation which we identify, is composed of value proposition, value creation through value chains and networks, and profit model innovation. Finally, we demonstrates that already successful businesses can also create new values through business model innovation and adaptive advantage, even in a rapidly changing market environment.
E-commerce is now widely used as the new business opportunity for most companies in Korea. The purpose of this study is first to find the attributes of the logistics service quality in e-commerce environment. We, then, try to find the relationships among service quality, customer satisfaction and repurchase intentions. The results of empirical study show that five attributes(responsiveness, empathy, reliability, accuracy and tangible) are identified as key factors of service quality. Customer satisfaction has also significant effect on repurchase intentions.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.14
no.3
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pp.129-140
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2019
The purpose of our study is to confirm the usefulness of our new youth entrepreneurship program. In this study, I suggest design thinking as a new Youth entrepreneurship program which is consist of 9 dimensions: opportunity discovery, opportunity utilization, creativity capacity, career preparation behavior, entrepreneurship, entrepreneurial intention, self-preservation, social problem solving, and educational program objectives. To verify this new program, I conduct a pilot test in middle school and high school; the sample target is randomly selected one class in each school. My main finding is two. First, our new program successfully improves Youth entrepreneurship. Particularly, the improvement of opportunity utilization and entrepreneurial intention are prominent. As reasons, studies about food industry entrepreneurship is an unfamiliar subject for adolescent. Considering that entrepreneurial intention rapidly changes after the experience of entrepreneurial education, researchers need to focus on this variable. Second, I confirm the effects of gender, motivation, prior experience, interest oneself and other's recommendation about the entrepreneurship program. As a result, gender and prior experience do not have an important influence. On the other hand, voluntary interest and other's recommendation are influential. The most important factor is the influence of a teacher. Therefore, researchers need to examine the more specific mechanism of each dimension in the future.
In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.
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