The 1st International Conference on Datadriven Knowledge Discovery:When Data Science Meets Information Science.June 19–22,2016,Beijing·China

The 1st International Conference on Data-driven Knowledge Discovery： When Data Science Meets Information Science took place at the National Science Library （NSL）, Chinese Academy of Sciences （CAS） in Beijing from June 19 till June 22, 2016. The Conference was opened by NSL Director Xiangyang Huang, who placed the event within the goals of the Library, and lauded the spirit of intemational collaboration in the area of data science and knowledge discovery. The whole event was an encouraging success with over 370 registered participants and highly enlightening presentations. The Conference was organized by the Journal of Data andlnformation Science （JDIS） to bring the Joumal to the attention of an international and local audience.

Call for Papers The Third International Conference on Rough Sets and Knowledge Technology (RSKT2008)

Since the introduction of rough sets in 1982 by Professor Zdzisaw Pawlak, we have witnessed great advances in both theory and applications. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent system design, knowledge intensive computations. The cutting-edge knowledge technologies have great impact on learning, pattern recognition, machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing. To present the state-of-the-art scientific results, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide, the 3rd International Conference on Rough Sets and Knowledge Technology will be held in Chengdu, China, May 17～19, 2008. It will provide a forum for researchers to discuss new results and exchange ideas, following the successful RSKT'06 (Chongqing, China) and JRS'07 (RSKT'07 together with RSFDGrC'07) (Toronto, Canada).

Internet Resources and Organizational Knowledge Creation:Role of Environmental Dynamism

The development of the Internet has provided firms with the ideal opportunity to make up for the knowledge gap for achieving internal knowledge generation(IKG)and external knowledge acquisition(EKA).It is worth exploring how Internet resources can be used to satisfy organizational knowledge needs efficiently to adapt to dynamic environments.Thus,according to the resource-based view,knowledge-based view,and contingency theory,we study the impact of different types of Internet resources on the two modes of knowledge creation(IKG and EKA),as well as the moderating effect of environmental dynamism(ED)on this relationship.The hypothesized relationships were tested using the hierarchical regression analysis method with survey data collected from 399 Chinese firms.We found that Internet relationship resource and Internet human resource can simultaneously facilitate IKG and EKA,while Internet infrastructure resource positively affects IKG but has no significant impact on EKA.Furthermore,ED positively moderates the relationship between Internet relationship resource and IKG and EKA,but negatively moderates the relationship between Internet human resource and EKA.

Which Strategy Maximizes the Innovation Output of Firms in China:Using a Control or an Entrepreneurial Sphere?

Innovation is a key stimulus for firms’survival and growth.However,many of Chinese firms fail to make it due to the lack of adequate financial resources.Previous studies have been deeply investigated the relationships between financial resources and firms’innovation performance.This paper extends such stream of the literature by focusing on a vital question for entrepreneurs:how to maximize innovation output under resource constraints.Based on an extensive dataset collected at Zhongguancun Science Park(ZSP),Beijing,China,over the period 2011-2014,this paper discusses whether entrepreneurs should pursue extra public funding(control sphere).Besides,this paper also provides empirical evidence for entrepreneurs to make proper choices about resource allocation(entrepreneurial sphere).This paper hypothesizes that enterprises allocating resources by using the entrepreneurial sphere,rather than the control sphere,can advance innovation output.To test our hypothesis,this paper adopts a dynamic panel model estimated by a bootstrapbased bias correction procedure.We find that,in advancing innovative performance,the entrepreneurial sphere is more effective than control.Indeed,at the overall level,the crowding out effect merely offsets the additionality effect when enterprises pursue extra public funding.Therefore,the control sphere does not play an essential role in advancing innovation performance.Thus,extra efforts in that direction will turn out to be in vain.Consequently,as a policy implication we claim that entrepreneurs should spend more time and energy on productive activities rather than lobbying and rent-seeking.In addition,managers should allocate resources properly for internal knowledge creation,external knowledge absorption and S&T activities.