Nowadays, new energy vehicles play an important role in the transformation and upgrade of China’s energy security, energy conservation and other industries. At present, there are 26 pilot cities for the demonstration of new energy vehicles in China; however, the operation effect and experience of the pilot cities have been summarized less. This paper takes Shenzhen’s new energy vehicle industry policy as the object of research, in order to explore the impact of demand innovation on the development of new energy vehicles. This paper summarizes the three stages of Shenzhen’s new energy vehicle industry promotion, and further analyzes the policy and market environments of each stage by using the demand-side innovation policy theory. By reflecting on the concept of policy design, this paper proposes that decision makers need to cultivate open innovative thinking, and transform their production-oriented policy design into a demand-oriented policy design. This conclusion is helpful for pilot cities in order to adjust their policies over time according to the different stages of industrial development, and further improve the innovation and competitiveness of China’s new energy vehicle industry. Full article

In Korea, cooperation between university and company is mainly encouraged by government policy as the Triple Helix’s statist model. Since 2003, the government started a variety of university financial support program, and in 2014, it reached to the point that 31 ministries conducted 408 programs in total. Most projects focused on training human resources and supporting Research and development, which is considered as the core function of universities, but some of the projects are designed to support the industry–academia cooperation. For instance, the Ministry of Education ran ‘Leaders in University and Industry Cooperation (LINC)’ program. LINC is a follow-up project of Human Resources Development for the Leading Industries, Industry–Academia Cooperation-oriented University, and Focal Point Research program. Accordingly, it aimed to create university–industry cooperative models, and nurture talents based on regional economy’s demand. The program provided approximately $230M per year for over 50 universities across the country. It was one of the highly influential grant programs considering the fact that there are about 200 universities nationwide and an annual budget of university is $900 billion on average. In this context, this study is to assess the influence of resources of universities capacity on the achievement of university–industry cooperation and explore whether a government-initiated policy has a significant effect using data from government information disclosure system on education. Full article

Essential oil and aromatherapy industry is increasingly gaining prominence in the global market. Previous studies have been carried out on the benefits of essential oils in healthcare and as part of the healing arts of many cultures, as a proven method of caring for our physical, spiritual and mental health. To enter an open market and promote the awareness of essential oils and aromatherapy, strategic planning capability is important to drive business growth. This paper utilizes a simulation-based strategic decision support system (SSDSS) to conduct a real-world case study with empirical data and examine the effectiveness of SSDSS applications in supporting market development and business growth with service innovations. Through iterative computer simulations and scenario analysis of healthcare promotion and business development for performance improvement, the effects of strategic business innovations could be systematically analyzed to identify different stages of adopters and effective approaches to achieve the established objectives with market value creation. Full article

This study estimates the impact of potential climate change, and human interference (anthropogenic deforestation), on temperate forest carbon pool change in the capital area of South Korea, using a dynamic global vegetation model (DGVM). Additionally, the characteristics of forest carbon pool change were simulated based on a biogeochemical module. The change of atmospheric carbon dioxide (CO₂) concentration is deeply related to the change of the forest carbon pool, which is estimated with the measures of Net Primary Productivity (NPP), and Soil Carbon Storage (SCS). NPP and SCS were estimated at 2.02–7.43 tC ha⁻¹ year⁻¹ and 34.55–84.81 tC ha⁻¹, respectively, during the period 1971–2000. SCS showed a significant decreasing tendency under the conditions of increasing air temperature, and precipitation, in the near future (2021–2050), and far future (2071–2100), which were simulated with future-climate scenario data without any human interference. Besides, it is estimated that the temporal change in NPP indicates only a small decrease, which is little influenced by potential climate change. In the case of potential climate change plus human interference, the decrease rate of NPP and SCS were simulated at 17–33% and 21–46%, respectively, during 2000–2100. Furthermore, the effect of potential human interference contributes to 83–93% and 61–54% of the decrease rate of NPP and SCS, respectively. The decline in the forest carbon pool simulated in this study can play a positive role in increasing atmospheric carbon dioxide. Consequently, the effect of potential human interference can further accelerate the decline of the temperate forest carbon pool. For the effective reduction of carbon dioxide emissions in urbanizing areas, it would be more effective to control human interference. Consequently, this study suggests that a rate of reforestation corresponding to the deforestation rate should be at least maintained, with long term monitoring and modeling-related studies, against climate change problems. Full article

Innovation policy and business strategy often expect that investing in private and public research and development will immediately produce a flow of products and processes with high commercial and social returns. Policymakers and managers implicitly follow the logic underlying most linear innovation models assuming a well-defined and uni-directional relationship between R&D spending as input and innovation rents as output of the innovation process. Modern innovation economics dismisses the simplified approximation of knowledge by R&D investment and, instead, considers complex knowledge generation and diffusion processes in innovation networks. From this angle, the disappointing performance of traditional approaches is traced back to strong limits of conventional steering, control, and policy instruments. In this paper, we show that the new view of knowledge generation and diffusion in innovation networks allows for an alternative and has led to systemic approaches in innovation analyses. Combined with computational approaches like agent-based modeling, this new view enables today innovative tools in policy consulting. Using the example of regional innovation policy, we introduce a policy laboratory in which innovation processes can be analyzed in depth to see the impact of different innovation policy instruments in-silico. This ex-ante evaluation helps considerably to improve the understanding of innovation processes and with it the performance of innovation policy. Full article

The development of the financial sector has been a major growth driver in all economies, especially in emerging economies. Part of the financial innovations in the sector in recent times is the electronic payment system. Several studies in developed countries have substantiated the positive transformation of this financial innovation. This paper therefore contributes to this debate with three research innovations: first, it adopts a new measure of bank performance—the sortino index; second, it relates market risk exposure of banks to electronic payment technologies; and third, it controls for “without effects” of these innovations on bank performance using interacting dummies. Based on the time dimensional and panel least square models, it finds that bank performance increased after the adoption of electronic payment technologies. Finally, its findings show that bank performance contradicts autoregressive and random walk processes and thus implies that investors should not be disturbed about previous bank performances but concerned about current bank resources. Full article

This research addresses a specific issue in the field of operation scheduling. Even though there are lots of researches on the field of planning and scheduling, a specific scheduling problem is introduced here. We focus on the operation scheduling requirements that the Fourth Industrial Revolution has brought currently. From the point of view of open innovation, operation scheduling is known as the one that is using the Internet of Things, Cloud Computing, Big Data, and Mobile technology. To build proper operation systems under the Fourth Industrial Revolution, it is very essential to devise effective and efficient scheduling methodology to improve product quality, customer delivery, manufacturing flexibility, cost saving, and market competence. A scheduling problem on designated parallel equipments, where some equipments are grouped according to the recipe of lots, is considered. This implies that a lot associated with a specific recipe is preferred to be processed on an equipment among predetermined (designated) ones regardless of parallel ones. A setup operation occurs between different recipes of lots. In order to minimize completion time of the last lot, a scheduling algorithm is proposed. We conducted a simulation study with randomly generated problems, and the proposed algorithm has shown desirable and better performance that can be applied in real-time scheduling. Full article

Purpose: As the development of high technology, information and communications technology (ICT) and e-government has pursued improving efficiency, productivity, democracy, responsiveness and transparency in government, the demand for efficient government administration systems and government transparency has increased. Thus, this study aims to derive factors contributing to decreases in corruption based on a literature review, and to examine the relationship between e-government and government corruption through a cross-country analysis. Design/Methodology/Approach: This study first analyzed how government corruption in each country is influenced by e-government user status, governance, and regulations. With ICT and e-government development as mediating variables, the effects of various factors on government corruption were examined by country. That is, the mediating effects of ICT use and e-government development (telecommunication infrastructure, online service, e-participation) were assessed in order to define the relationship between users, governance, regulations and government corruption. This study ensured objectivity of data by utilizing statistics provided by credible organizations such as the Transparency International (TI), Organization for Economic Cooperation and Development (OECD) and United Nations (UN) and differs from past research in that it focused on the mediating effects of e-government. In this study, a cross-country analysis (with data from 120 countries), a three-step analysis of the mediating effects (Baron and Kenny, 1986) and a Sobel test (empirical analysis) were used. Results: The results of the analysis show a significant relationship between e-government user levels, governance, government regulation, and government corruption. In addition, the level of current ICT development and e-government partially mediated the effects of user levels, governance and government regulation on decreases in government corruption. These results show that the development of ICT and e-government mediate and contribute to a decrease in government corruption, and that increased utilization of ICT and monitoring government actions using such technologies will be one major factor in decreasing government corruption. Implications: These findings suggest an efficient and effective direction for future anti-corruption strategies in government policy making and implementation processes. Full article

Precision medicine has received a lot of attention in recent years and we have not yet found any research cases that apply Data Envelopment Analysis (DEA) to investment decision making in this area. The purpose of this study is to analyze the relative efficiency of candidate technology sectors in order to determine priorities for government investment in precision medicine. The results of the efficiency analysis can be used as an important reference for government policy makers to determine the amount of government investment in the next year for each candidate technology sector. The candidate technology for government investment in precision medicine was decided for 23 sectors based on the data analysis and the opinions of expert committees. This study applies the input-oriented DEA in regard to 23 technology sectors, which is widely used to analyze relative efficiency in terms of inputs versus outputs and to enhance efficiency through the propositional reduction of inputs. The input variables include the government’s research and development (R&D) investment and forward and backward industry linkage effects. The output variables are the employment creation effect, value-added effect, number of Korean patents, and number of Korean papers. Our analysis results show that the 23 technology sectors in precision medicine overall have a high efficiency, with the exception of the biobank technology sector. Therefore, since the Biobank technology sector has strong infrastructure characteristics, it seems to require continuous investment. The efficiency of DEA is high in most precision medicine sectors; therefore, overall, investing in these technologies is expected to yield good benefits. Full article

The new logics of competitions are mostly based on exploiting relationships to implement new mechanisms in managing Knowledge. Today, a successful company should be, lean, modular, and with a smart approach to new products development. In this context, the source of competitive advantage cannot be found into a static heterogeneity of resources, but companies must be able to create and manage a dynamic competitive process to continuously reinvent their products/services and to re-combine their resources with their partners’ ones. A paradigm for this behavior is the Open Innovation one, as created by Chesbrough. According to the rules of this paradigm, companies have to acknowledge that they operate in a network of relationships, they must be open to cooperate with their external partners, and they must not try to limit their actions in reaching only for some pre-defined result. So, Open Innovation Networks appear to be similar to those described by the scholars in the Complex Adaptive Systems field where the actions of the system, and of its parts, are the result of the various actors’ interactions in an emergent way. In this paper, we use a Systematic Literature Review approach to explore how the main topics in the System Thinking Perspective, and in particular, those related to Complex Systems, are linked to the Open Innovation studies. Full article

Humans now have a life expectancy of nearly 90 years and, as a result, society is rapidly aging. These longer life spans have, however, increased the average length of hospitalization for elderly adults suffering from chronic diseases such as cancer, diabetes, and encephalopathy. In a recent survey of 10 well-being indices for elderly adults, the top demands for well-being are physical, spiritual, and psychological. Thus, we developed the WISH (Well-aging Indexing for Senior Health) Platform to enhance the normalizing exponents using survey data. Nowadays, the incidence of many chronic diseases is increasing. Thus, we designed the WISH Platform using clinical research on depression, cerebral infarction, coronary artery, and rheumatism, which are common diseases in Koreans. By applying this study to chronic diseases, which manifest differently among elderly adults across different countries, it is possible to determine influential nutrition and life patterns to create a standardized index. Such an index will help create value for the happiness of active elderly people, which in turn will aid in their efforts to maintain health; it may even benefit health promotion in other age groups. Full article

Nowadays, the way of Internet travel in China presents diversified development. Rapid expansion in the personal mobile terminal and Internet infrastructure for the Internet travels to the ecosystem of development and evolution. This paper explores the influence of the expansion of the e-hailing ecological community on the urban taxi ecological community, and the problems of profit-seeking, rent-setting, and rent-seeking from the capital behind the e-hailing platform. With entrance into the urban travel ecosystem with ride-hailing platform enterprises and emerging business models, how does (venture) capital cause the change of the urban taxi ecology? Is it essentially the rent-setting and rent-seeking behavior of capital that obtains the market monopoly status of e-hailing? What are the difficulties for governments and the public in regulating rent-seeking in capital and emerging business models? The aim is to explore the new governing strategy of urban taxi ecology. The paper chooses the case of the DiDi e-hailing platform, and performs a study on the utility and indifference curves quantitatively, and constructs a rent-seeking liaison between platform’s entry into the market and the platform’s monopoly. In this paper, the ecological system of the taxi industry is first sorted out, and the community relationship between the traditional cruise taxi industry and the e-hailing industry, and their market supply and demand relationship are clarified. Secondly, from the main theoretical perspective of rent-seeking behavior, this paper analyzes the causes of the rent-setting rent-seeking behavior of e-hailing platform enterprises and the venture capital behind them, and the problems of public power supervision. As the red pack & subsidy market strategy changes the utility (indifference) curve of passengers, the consumption preference of passengers is more inclined to e-hailing. With the expansion of the e-hailing community, the e-hailing platform partly replaces the regulatory role of the government, and venture capital investors as rational-economic individuals, and its agency responsibilities and profit-seeking characteristics naturally form a contradictory pair. The introduction of competition is a means among market policies to break monopoly. Even so, commercial competitors are able to avoid laws or regulations by the means of commercial mergers or through the implementation of variable interest entities control. Governments should therefore seek to participate actively in the governance of such organizations. Full article

The pharmaceutical industry, where research and development (R&D) efficiency is central to company survival, has recently faced significant challenges. To increase efficiency, companies must implement strategies such as open innovation (OI), wherein they sell their intellectual property, maximize their use of external resources, adjust their structures, and implement new business models. In this study, we divided 701 U.S. pharmaceutical companies according to their OI strategies to measure and compare their R&D efficiencies between 2001 and 2016. We analyzed the deal data of companies by first dividing them into four groups (inside-out, outside-in, coupled, and closed) to calculate R&D efficiency using stochastic and meta-frontier analyses. In the first group analysis, the coupled group shows high technical efficiency, but in an overall comparison, the inside-out group achieves the highest efficiency values. These values increased between 2005 and 2010, when the R&D crisis in the industry was great at its highest. We thus identified the characteristics of each group based on our results, and presented extensive analyses using a time-series comparison and enterprise-level analysis. We claim that pharmaceutical companies can still cope with the current R&D crisis by implementing different OI strategies. Full article

Recently, concepts and principles from the Complexity Theory (or, generally speaking, the complexity sciences) have been applied as a perspective for capturing the influence of the context, interaction, and adaption in the innovation processes, such as the ones enabled in the business incubators. The purpose of this paper is to implement a frame of reference for understanding the start-ups’ incubator as a complex system where innovation, learning, and self-organization take place. We build on the interfaces between the Complexity Theory (i.e., complexity sciences) and Open Innovation literature to identify principles, patterns, and conditions that frame the incubation practices as simple rules aimed to sustain the innovation process towards the creation of new ventures. Results from the multiple case studies conducted in five incubators show that the features of variety, nonlinear interaction, interdependence, autonomy, and emergence of the incubation process framed as a complex system are enabled in different ways by the combination of the open innovation practices and services provided by the start-ups’ incubators, including the provision of physical infrastructure, access to funding streams, experts/entrepreneurs networking, education/workshops, mentorship, and advice. Full article

Compared to information technology (IT) revolutions, which are characterized by disruptive innovations, the innovations required for the 4th Industrial Revolution will be characterized by the cumulativeness of the innovations. Therefore, we will need new modes of technological learning and new strategic concepts. The IT revolution can be divided into two parts: system integration and component supplying. Notice that all IT giants such as Apple and Google emerged only after Intel emerged as the dominant microprocessor unit (MPU) supplier. Therefore, we can ascertain that Intel emerged as a dominant MPU supplier by accommodating the different specifications made by Japanese customers in different industrial sectors. Thus, we will come to the concept of learning-by-accommodation as the dominant learning mode of IT module supplying, while the aforementioned IT giants implemented the mode of learning-by integration. The 4th Industrial Revolution will be characterized by technological evolutions rather than by disruptive innovations. They can be also decomposed into module supplying and the system integration. As to the mode of learning in the modules, we will find that the mode of learning will be prevalent in the same manner as IT module supplying, but in a more pre-emptive way. As for the feedback loops of the system integration, we will divide them into edge computing and the overall system solution. As for the edge solution, it is possible for latecomers to make a leapfrogging. In this context, we will make an analysis on the Chinese development of the “capacitor trolley bus” and come to a totally different mode of learning in the edge solution. We will name this mode “learning-by-porting”, using the terminology derived from the analysis of the design rules of a modular structure. By assuming that an overall feedback loop consists of a hierarchical structured collection of edge solutions, we can conclude that the overall solution is developed by multiple applications of the learning-by-porting of edge solutions. Additionally, the total system is a hierarchical structure, thus, a strategy toward the realization of the 4th industrial revolution will be a multilayered porting strategy. Full article

This research aimed to build a solid basis through analytic hierarchy process (AHP) analysis to develop a reliable and practical valuation model that reflects the characteristics of the biotech industry and propose a reference formula to estimate the license fee by drug class for potential business transactions. In this study, we reviewed 135 related studies and found 167 related determinants. We surveyed 25 or more specialists in the biopharmaceutical industries. The survey group consisted of National Research Institutes (‘Group 1’), Companies (‘Group 2’), and Government Agencies–Universities (‘Group 3’). The average of the total group and Group 3 showed the same tendency at a Level 3 ranking, where the priority in determining the license fee was arranged in the order of ‘the market factor, the technology factor, the financial factor, and the environmental factor’ in light of the factors, and ‘patent characteristics, licensee characteristics, and licensor characteristics’ for the characteristics. We noted that the patent characteristics were primarily significant in technology transactions and their contract fee in the groups (Total, Group 2 and Group 3), followed by licensee characteristics. In terms of the in-depth index, we noted that the development phase and attrition rate, intellectual property tradability, and licensee licensing experience, followed by quality of technology, were the most influential determinants. Full article

(1) Background: As we enter the experience economy, industrial design has focused on social innovation and has flowed into social design. This fresh design perspective has been employed in citizen-centered-policymaking through empathic approaches that emphasize the necessity of public service design. Focusing on the results of a 2017 citizen design project, this study aims to identify the effectiveness of an empathic approach in improving public services through investigating stakeholders and their interactions of the Dementia Café in Seongju. (2) Methods: Our team conducted observations and interviews with 20 stakeholders to understand the operational environment of the café. Utilizing the information we gathered, we visualized data in a stakeholder map and carried out critical characteristics analysis (CC) to provide practitioners and researchers addressing the project with quick, intuitive understanding. (3) Results: Three themes were drawn from the observations and interviews conducted in the study: the sustainability of operation, locational and perceptional conditions, and management of clientele. The stakeholder map reveals broken interactions between the café’s staff and its associated hospital, and a loss of opportunities to offer customized administrational dementia care through the café. In the CC analysis, service providers’ patterns were vague while service receivers showed three discernable patterns indicating individualized responses to each group that might be effective. (4) Conclusions: The outcomes including difference of perspectives between the stakeholders confirm that adopting empathic approach enables various stakeholders to offer views and share ideas. Hence this approach possibly helps deliver tailored public services in a creative manner by opening and sharing government-ownership with the public. Since the research was accomplished primarily by qualitative approaches, there may still be limits caused by not including benefits of quantitative approaches in such a large-scaled survey, and these are subject to further research. Full article

The aim of this paper is to investigate the entrepreneurial intention of Italian female students according to the Ajzen’s Theory of Planned Behaviour (TPB). In particular, we analysed the women’s intention to become entrepreneurs because the relevance of the female entrepreneurship phenomenon is a growing issue. Indeed, millions of women are involved in creating and operating enterprises, which suggests that women are an important engine of economic growth for developing countries. Using survey data from 441 Italian female students, we found that social pressure influences business students’ intention to become entrepreneurs. Focusing on female students, their intention is affected also by the perceived behavioural control. These results are of interest for policy makers and regulators in promoting entrepreneurial skills among young populations, with consequent reduction of the unemployment rate. Finally, this paper provides a new model that helps to understand the students’ entrepreneurial intentions based on gender role. Full article

This paper proposes a research agenda for understanding how to establish and develop strategic partnerships with universities in innovation ecosystems, aimed to support the development of companies’ entrepreneurial and innovation development capacities. In particular, the paper suggests an integrated model to explore how universities and companies establish, manage, and assess collaborative relationships to foster entrepreneurial and innovative capacity. The framework identifies four fundamental dimensions that characterise the role and function mechanisms of successful collaborative relationships: (1) the entrepreneurial learning network dynamics and the transformational patterns affecting the development of entrepreneurial capital of university-based innovation ecosystems; (2) the role and features of the university-based organisational units to support companies’ entrepreneurial and innovative development in innovation ecosystems; (3) the organisational models and factors influencing a company’s capacity to establish successful partnerships with universities and to develop entrepreneurial and innovative capabilities; and (4) the approaches, models, and tools that can support universities and companies to design, implement, and assess partnerships and initiatives aimed to develop entrepreneurial and innovative capabilities. Full article

The purpose of this study is to suggest efficiency improvement using the analysis of the efficiency of the royalty system for government-funded research institutes (GRIs) belonging to the National Research Council of Science & Technology (NST). Twenty three GRIs’ royalty incomes and expenses (2013–2015) were analyzed using the data envelopment analysis (DEA) model. First, Research Model 1 was used to find out if the obligated expense category’s distribution ratio were efficient. Five Charnes, Cooper and Rhodes (CCR) model organizations and 14 Banker, Charnes and Cooper (BCC) model organizations demonstrated 100% efficiency. With the exception of the obligated expense category, Research Model 2 was used. Seventeen CCR model organizations and 18 BCC model organizations demonstrated 100% efficiency. GRIs were divided into efficient and inefficient organizations using each model, and potential improvements and benchmarking decision-making units (DMUs) were found for inefficient organizations. Second, multiple regression analysis in Research Model 2 was used to analyze the cause of the efficiency to find factors that influenced the transfer of technology and license improvement. Third, there were efficiency differences among research organizations as a result of the efficiency analysis considering the research organization type with respect to the constant returns to scale (CRS) efficiency of Research Models 1 and 2. Thus, different policies should be applied to improve the efficiency. Finally, the possible improvements, future directions and limits of this study are discussed. Full article

Since Klaus Schwab and the World Economic Forum declared the arrival of the Fourth Industrial Revolution, there has been much discussion about it. However, there is no commonly agreed-upon definition of the Fourth Industrial Revolution. Therefore, we attempted to answer the following four research questions. “What is the definition of the Fourth Industrial Revolution?”, “How can we respond to the Fourth Industrial Revolution in terms of institutions?”, “How can we respond to the Fourth Industrial Revolution in terms of technology?”, “How can we respond to the Fourth Industrial Revolution in terms of firm innovation and start-up strategy?” Brainstorming was conducted by 11 scholars from several countries to answer these four research questions. Therefore, this research is not the end product of four research questions, but a kind of advanced template to answer the four research questions for continuing research. Full article

Although new product development and its importance for companies as a new approach is accompanied by risks, identification of competitive advantage factors can be helpful for managers in reduction of decision-making risks. The Toos Nirro technical firm is a leading company in meeting the demands of its industry in Iran as it is one of the most effective manufacturing centers in Iran, which is committed to complying with modern standards and taking advantage of the latest scientific achievements and transfer of technology. The statistical population included experts and top managers at the Toos Niroo technical firm. The present study was conducted to identify and rate competitive advantage factors in new product development in the Toos Niroo technical firm. In addition to identification of the factors, they were also rated to reveal which factor ranked the high in new product development. This was an applied research which was carried out by a descriptive survey methodology. Using the Cochran method, a sample of 50 people was adopted and data were collected by questionnaire and analyzed using SPSS software (p < 0.15). Hypotheses were tested with the Kolmogorov–Smirnov and parametric tests. Results indicated that competitive advantage factors including quality, efficiency, innovation, and accountability were positively and significantly related to new product development. Full article

Unlike national systems of innovation, a knowledge-based economy is grounded in the volatility of discursive knowledge enabling us to specify expectations. Expectations can be improved by testing them against observations. Furthermore, expectations can be codified in different ways; for example, in terms of market perspectives or technological opportunities. The Fourth Industrial Revolution entails a transition to the reflexive entertaining of expectations in terms of models as increasingly the sources of innovations. The Triple-Helix synergy indicator enables us to use institutional arrangements as instantiations of the knowledge dynamics and thus to assess the generation of options and the reduction of uncertainty in information-theoretical terms. Using this indicator, one can assess empirically—in terms of negative bits of information; that is, redundancy—in which innovation systems and to what extent a technological revolution is taking place. Full article

The paper focuses on the topic of the relationship between coopetition and innovation as well as on their impact on competitive advantage. Before getting to the central issue, a literature review on the topic of coopetition is carried out, in order to catch the existing gaps as well as to single out the paths for future development on the topic. Starting with a bibliometric analysis, the research then focuses on the contents of the contemporary literature, analyzing the main approaches internationally developed. The hint is to study the relationship between innovation and coopetition (in terms of antecedents) and then the impact of innovation-based coopetition or of coopetition-based innovation on firm performance. Full article

The purpose of this study is to verify the effectiveness of the entrepreneurship curriculum and the educational program recognized by students and graduates. This paper has studied the improvement of curriculum and educational programs operated by the Graduate School of Entrepreneurship by using Importance-Performance Analysis (IPA). This study was conducted on students and graduates who attended entrepreneurship graduate schools designated by the Ministry of SMEs and Startups (MSS) in Korea. The results of the questionnaire survey were tested the differences of curriculum courses by paired-sample t test and its improvement was analyzed through Importance-Performance Analysis (IPA). According to the research analysis, there was a difference in the preference of the curriculum and the educational program recognized by graduate students and graduates. The results of this study suggested academic and practical implications. In academic terms, this study classified the subject and educational curriculums of entrepreneurship graduate programs through the analysis of importance-satisfaction. In practical terms, this study suggested implications for the improvement of curriculum and educational programs for the activation of entrepreneurship graduate schools. Full article