Electric Vehicles (EVs) are considered to be a potential viable technology to address the persistent unsustainable problems in transport sector. In this paper, we focus on analyzing the transition processes of EVs in China because the sustainability of developing countries is essential for the worldwide sustainability. The two-round demonstration programs of EVs in China were analyzed by adopting the strategic niche management (SNM) approach so as to find out what niche protection has been provided and which obstacles hamper the further development of EVs. The results show that the financial subsidy is the most important protective measure. However, the diffusion results of EVs in different pilot cities are greatly different. The main reason lies in the uneven geographical landscape. In addition, some obstacles were exposed during the niche internal processes including low quality of expectations and poor alignment within the network. Based on the analysis results, we develop a list of suggestions that are important to consider when developing EVs.
Common sense suggests that persistence is key to success. In academia, successful researchers have been found more likely to be persistent in publishing, but little attention has been given to how persistence in maintaining collaborative relationships affects career success. This paper proposes a new bibliometric understanding of persistence that considers the prominent role of collaboration in contemporary science. Using this perspective, we analyze the relationship between persistent collaboration and publication quality along several dimensions: degree of transdisciplinarity, difference in coauthor's scientific age and their scientific impact, and research-team size. Contrary to traditional wisdom, our results show that persistent scientific collaboration does not always result in high-quality papers. We find that the most persistent transdisciplinary collaboration tends to output highimpact publications, and that those coauthors with diverse scientific impact or scientific ages benefit from persistent collaboration more than homogeneous compositions. We also find that researchers persistently working in large groups tend to publish lower-impact papers. These results contradict the colloquial understanding of collaboration in academia and paint a more nuanced picture of how persistent scientific collaboration relates to success, a picture that can provide valuable insights to researchers, funding agencies, policy makers, and mentor-mentee program directors. Moreover, the methodology in this study showcases a feasible approach to measure persistent collaboration.
Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author-Conference-Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h-indices. We find that the collaborators of high-impact researchers tend to study diverse research topics and have diverse h-indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with nonauthoritative authors carries more weight after PhD graduation.
Despite numerous studies on modularity, the modularization processes have received less attention. In the global context, product modularity can be leveraged to satisfy heterogeneous market requirements across countries with low costs. Through a longitudinal case study of HomeTech, we examined how multinational R&D created an effective organizational interface to facilitate recombination of its organizational units, and thus product modularization. We found that three elements of an organizational interface were established through a process composed of three phases in HomeTech R&D: regional concentration, establishing a module pool, and creating architecture leader posts. We also found that the three elements exerted the balancing effect and the brokerage effect so that the organizational interface was effective in facilitating recombination of organizational units. We contribute to the literature through showing how organizational modularity can affect product modularity within a firm. We also reveal the critical role of architecture leaders in product modularization. Finally, we enrich the organizational interface concept by highlighting the combination of elements.
PurposeInnovation ecosystem research has highlighted complementors as the critical force to determining focal firm innovation’s success in addition to the traditional value chain or supply chain perspective. However, literature is relatively scarce in terms of innovation ecosystem governance, especially, on how to manage various types of complementors. The purpose of this paper is to fill this theoretical gap by developing a typology of managing complementors from multiple case studies.Design/methodology/approachThis study conducted multiple case studies of three leading focal firms with ecosystem strategies to understand innovation ecosystem governance. Theoretical themes are inductively generated to reveal their success in managing complementors in their ecosystems.FindingsThe case analysis reveals four generic strategies to manage complementors. These strategies are contingent on the types of complementors and level of interdependence: focal firms tend to engage functional complementors and collaborate with infrastructural complementors when the level of interdependence is higher, and acquire functional complementors and nurture infrastructural complementors when the level of interdependence is lower.Practical implicationsFor practitioners, this study can improve their understanding on the mechanisms of innovation ecosystem governance, particularly interdependence between participants in an innovation ecosystem, and developing appropriate strategies to manage different types of complementors in innovation ecosystems.Originality/valueThis study contributes to innovation ecosystem literature by enriching the conceptualization of interdependence in innovation ecosystems and unpacking innovation ecosystem governance with the inductively developed holistic typology of strategies to manage complementors. Meanwhile, this study also suggests underlying mechanisms for how innovation ecosystem governance and, therefore, contributes to a systematic theory on understanding innovation ecosystem governance.
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