Entrepreneurs usually require financing for starting their businesses. Their primary source may be personal savings, family and friends’ funds, or loans from banks and other financial institutions. Immigrant and native entrepreneurs may differ in their sources of financing, and their differences in sources may depend on their societal context. The research questions are, how does an entrepreneur’s migration status -immigrant versus native-influence primary source of financing, and how is this influence moderated by wealth of the country?
Data are a sample of 14,369 immigrant and native owner-managers of starting businesses in 29 countries, surveyed in the Global Entrepreneurship Monitor, and analyzed by hierarchical mixed models.
Analyses reveal that immigrant and native entrepreneurs similarly frequently have their personal savings and family as the primary source of funding. Native entrepreneurs, more often than immigrant entrepreneurs, have banks and other financial institutions as the primary source of funding. Immigrants, more often than native entrepreneurs, have friends and yet other sources as the primary source of funding. These effects of migration status upon source of financing, however, are moderated by the national context, in that wealth of the country boosts the immigrants’ use of friends and other sources of financing.

The current paper examines the role of the identity of entrepreneurs in the emergence and evolution of a new organizational form by empirically analyzing the evolution of eBook publishers in Korea from 1996 to 2011. Drawing on the recently developed identity-based theory of organizational form in the organizational ecology literature, we test hypotheses on the effects of focused and diffused organizational identities on organizational founding in an emergent organizational population. The results of our empirical analysis that tested three hypotheses about a positive relationship between focused identity and form emergenceand negative relationships between diffused (horizontal and vertical) identity and form emergence largely supported the argument of identity-based entrepreneurship. General implications are discussed.

Making efforts to break down the barriers between the intra-company departments as well as cooperating with external partners can become the driving force to create a successful innovation in the new product development (NPD) process. This study deals with how the key factors of collaborative innovation success are working in the process of NPD collaboration. Using case analysis of the NPD process, where a large retailer and small and medium-sized suppliers cooperate, we found that the small and medium-sized suppliers achieved greater ‘short-term’ performances in the collaboration than the large firm, although the long-term performance is not clear. Among the six antecedents of innovation success, relationship-specific investment played a critical role in motivating the supplier’s participation in the NPD process. Adopting a ‘closed’ network in which the two suppliers interact directly with each other and create new knowledge for the NPD process played an important role in producing a quality product in a reduced development time. Unlike previous studies about the retailer-supplier cooperation for NPD in the food industry suggesting that position differences cause communication problems which is a major obstacle to the NPD success. This study suggests that large retailer’s initiative role is a critical success factor in the NPD by the cooperation between small and medium-sized suppliers and large retailers.

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations.
The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis.
The results of the empirical study identify several levels of firms’ learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms’ learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development.
Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages.
In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.