Entrepreneurial ecosystem is a very active area of research both conceptually and empirically, yet most literature that emerged over the last two decades predominantly pertain to developed economies. At the same time, transitioning and emerging economies have continued to grow rapidly, making a strong case to study entrepreneurial ecosystems in emerging economies (Bruton et al., 2018). Ecosystems are broad constructs and the constitutive elements of an ecosystem are themselves complex (Stam, 2015). Hence exploring key elements of the ecosystem in depth to understand the mechanisms of how entrepreneurship is supported through intermediary organizations like incubators is a fruitful exercise. In this context, we review the book "Technology Business Incubators in India Structure, Role and Performance" which is a timely synthesis for academic researchers and practitioners, looking to explore the topic as it pertains to emerging economies. The book is part of the De Gruyter Studies in Knowledge Management and Entrepreneurial Ecosystems series, that covers pertinent ecosystems issues around universities, and sustainability by leading authors.
Journal of the Economic Geographical Society of Korea
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v.21
no.3
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pp.254-269
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2018
The aim of this paper is to identify the components of the sustainable regional ecosystem of social economy enterprises (hereafter 'regional ecosystem'), and to explore the principles of reciprocity, regard and public policy, which have a fundamental impact on the development of such regional ecosystem. The regional ecosystem is an interactive system of the stakeholders who are related to the process of planning, producing, distributing and selling goods and services, and the agents who maintain and spread their social value orientation. This system operates through the interaction of 'local network (business relations and social relations)', 'intermediary organization' and 'public role.' On the basis of the conceptual framework on the regional ecosystem, the result of the in-depth analysis on the case of Gorang-erang Coop shows the interaction of reciprocity and public policy with respect to regard within the context of a characteristic of the regional ecosystem.
This study examines the case of living lab led by intermediary and explores the development possibility as living lab platform. The analyzed cases are 'The Seoul Innovation Park Living lab', 'Korea Senior Living lab' of Seongnam Senior Experience complex, and 'Disaster Safety Living lab'. As a result of the analysis, all three cases have formed a user panel to form a living lab platform, and provide living lab service to internal and external organizations. A common feature that combines a technology platform with a 4Ps-based governance platform is identified. However, the characteristics, the meaning, and the process are different from case to case. In the future, the living lab platform needs to share learning experiences that are going on individually, since domestic living lab platform is in the early stage. Through this, it is necessary to seek collaboration and cooperation with related similar projects, and to jointly promote institutional and physical infrastructures related to living labs.
The purpose of this study is to find out the structural characteristics of interorganizational networks for women, and to identify the magnitude of efficient structure for network using 30 organizations for women in Buchon. This study attempted to examine the characteristic of interorganizational networks through searching out the central organization and block modeling. The research sample was 30 organizations, and the data analyzed by UCINET V and KP(Krack Plot) 3.1. The results show that public agencies are central organizations of all dimensions(information exchange, client referral, cooperation, resource exchange) and they also play an important part as intermediary of interorganizational network. A prominent characteristics of network is "ggiri-network" that means network between similar agencies. This finding provides important strategy to build and expand the network. Also this finding can be direction of network structure to meet women's needs and empower women.
ALIBEKOVA, Gulnaz;TLEPPAYEV, Arsen;MEDENI, Tunc D.;RUZANOV, Rashid
The Journal of Asian Finance, Economics and Business
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v.6
no.4
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pp.271-279
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2019
The purpose of this study is to identify the barriers of university and industry cooperation and to develop recommendations for the internal ecosystem of technology commercialization. The research method used is a survey of three categories of experts from 9 universities of Almaty (researchers, technology transfer managers, spin-off-owners). Despite the strong efforts of the government of Kazakhstan in building innovation infrastructure, there is a low level of innovation activity, less than 5% of university inventions are transferred into the industry. The results of the expert survey showed that the main barriers for cooperation between university and industry are: lack of resources to build university-industry links, lack of time due to high teaching load, poor qualification of technology transfer managers and lack of networking with industry. Based on the results of the expert survey, it is proposed to develop the ecosystem for the commercialization of university-based technologies, for which the following economic activities are important: human resources, financing, intellectual property management system, and intermediary infrastructure. The results of this study can be applied in developing the strategies and policies for universities, public research organizations, as well as for national R&D and higher education policies.
Journal of the Korean Regional Science Association
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v.35
no.3
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pp.33-44
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2019
Smart City is the regional innovation platform that actively utilizes information and communication technologies to diversify city services and improve the performance and quality, hence improving the quality of life and creating new trends of urban activities. Recently, the importance of citizen participation is increasingly emphasized to build smart cities successfully and the Living Lab, an open innovation platform led by users, is taking center stage as a means of realizing it. Accordingly, this study aims to establish the plans for popularizing living labs that provide innovative environments for domestic smart cities. To this end, first of all, political trends related to domestic smart cities' living labs were analyzed, and then, individual characteristics and development processes of the relevant cases were investigated. In addition, in-depth interviews were conducted with the experts of specialized agencies from Netherlands, Finland, and Denmark, etc. which are considered as leading countries in smart cities' living labs. As a result, in order to popularize living labs in domestic smart cities, the following policies were proposed; establishing support systems for commercialization and dissemination, building intermediary support organizations, improvement of laws and institutions, establishing the joint response systems with neighboring areas, etc.
Although the General Agricultural Fishing Village Development Project had a significant impact on the landscape formation and management in rural area, the rural landscape planning and project sectors was not stable by fluctuation variables. On the basic understanding the institutional status of rural landscape planning, some conclusions could be discussed as follows through the analysis of quantitative and qualitative changes and the background factors. The rural landscape plan lacked its own legal and institutional foundations, and the landscape project of the General Agricultural Fishing Village Development Project was mainly focused on the environment-improving H/W project for expanding the basic living infrastructures. In order to reflect the characteristics of the region and become independent rural landscape management, it is necessary to change the contents so that the S/W business such as the deepening landscape awareness and empowerment linked with improving the physical landscape. To this end, it is necessary to establish a foundation for the rural landscape planning system to have its own status, and it seems to seek to supplement with what is included S/W contents reflecting the context of higher level landscape planning. The landscape sector of the General Agricultural Fishing Village Development Project proved to be in the process of shrinking in both quantity and quality, despite the temporary expansion in the past. In addition, considering the distortion of the contents of landscape projects in rural sites, it seems that the rural landscape-related public project are now in a position to seek a new phase change beyond quantitative expansion. In particular, along with institutional improvements to secure the independent status of rural landscape planning that contributes to village community regeneration and social sustainability through the role of intermediary support organizations in landscape management activities. Through the integrated landscape plan, which is established in advance and led by the residents in the early stages, there is a need to change the direction to enhance meaning of the landscape planning goes beyond the facility design or space improvement.
With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.
The study of online social movements is basically concerned about the impact of the Internet on the existing social movements. More specifically, researchers have paid attention to changes in participants, leadership style and movement strategies caused by the Internet. Due to the Internet, networks of the individuals who are geographically scattered or a network of networks have emerged as new movement agents. Researchers have also analyzed a repertoire of collective action adopted by the online social movements. The increase in online social movements calls for a new interpretation of the existing social movement theories such as resource mobilization, collective identity and political opportunity structure. There are still a lot of debate about the impact of the internet on social movement and the resulting changes. Not only the early debate of cyber-optimism and cyber-scepticism, many studies done by the mid-range perspective also suggested different arguments on the impact of the Internet. This discrepancy comes from a relatively short history of online social movement study, which leads to a limited number of case studies and a shortage of date accumulations. In the future, researchers need to place more attention on the unique characteristics of different technologies and comparative studies of online social movements. The study should also extend its focus to a wide range of political systems in order to explain the impact of online social movements on political intermediary organizations and the democracy itself.
Purpose - This study aims to seek various plans to maintain the advancement of the overseas and domestic employment scenario through a case analysis of the Japanese industry, which maintains domestic employment while promoting the overseas advancement of companies despite having a similar industrial structure as Korea. The study further intends to derive insightful implications for Japanese manufacturing companies and government policies. Research design, data, and methodology - We selected four companies from the Japanese manufacturing industry. Being companies that were successful in increasing the domestic employment scenario while advancing in overseas markets. We utilized several secondary data sources including Japanese newspapers and report literature. Results - Previous studies have shown a negative relationship between Foreign Direct Investment (FDI) or offshoring and domestic employment. However, our results showed this relationship with respect to the Japanese manufacturing industry as follows: 1. FDI for developing overseas markets does not decrease domestic production. If Japanese companies change their strategy from exports to overseas production, there will be a consequent decrease in domestic employment of Multinational Enterprises (MNEs). However, the local production that plans the sales expansion of a foreign market does not substitute domestic production. 2. Several case studies illustrate that, as the production of final goods is expanded in foreign countries, there is a corresponding increase in the export of intermediary goods from Japan. In this case, if the production process of Japanese companies is promoted in foreign markets, the amount of exported material and parts from Japan will consequently increase. 3. It is difficult to consider that the establishment of subsidiary companies in foreign countries by manufacturing companies for wholesale, retail, and services decreases domestic employment. This is because the international development of these industries needs expatriates, expatriate training organizations, and research and development (R&D) activities. 4. When there is overseas demand, the growth of local management activities is expected to increase the work of the overseas business department in the head office in Japan, if competitiveness can be secured for better localization and management speed. 5. The conversion of the domestic manufacturing industry into high value-added production is necessary. The relocation of domestic production to foreign markets decreases domestic employment. To prevent this, the upgradation of domestic production bases, including high value-added production, and R&D capability need to be strengthened. Technology-based companies must develop new technology, patents, processes, and so forth, which require extensive human resources for R&D. Conclusions - Domestic medium-sized companies that are capable of consistently supplying high value-added products should be actively encouraged to deploy into and develop overseas markets. Further, this paper considers the necessity of a guidance policy that provides suggestions for overseas deployment, by the initiation of the government, to companies that cannot do so due to the lack of foreign experience or decisions by the CEO, despite having the relevant capability and technologies to supply high value-added products.
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