No abstract

Information technology and advanced online environments have reduced the cost of these exchange activities and triggered the emergence of the sharing economy. Con-sequently, public attitude toward the sharing economy has gradually shifted from re-luctance to acceptance. Moreover, the sharing economy has revolutionized the busi-ness models and viewpoints of conventional industries, and sharing service providers have gradually shifted from an independent to a collaborative stance, thereby affect-ing conventional economies. This study interprets the phenomenon of cross-industry collaboration in the sharing economy through social exchange and social network the-ories. A multiple-case research framework is used to examine tourism and service in-dustries. Secondary data of service providers and users on sharing platforms are ana-lyzed using content analysis, supplemented with a content analysis of the interview data of three hotel executives. The varying phenomena of the conventional and shar-ing economies on social exchange and social network were compared. Finally, this paper proposes conclusions and practical recommendations according to the analytical results. JEL classification numbers: D85, M31, L14. Keywords: Cross-Industry Collaboration, Sharing Economy, Social Exchange, Social Network.

The empirical analysis applies the autoregressive distributed lag bounds testing approach to investigate the relationship between money supply, inflation and economic growth in China with the time series data from 1980 to 2018, estimate the cointegration of monetary and economic growth in long-run relationship and uses vector error correction model to determine the short-run adjustment between the variables. The research showed that the increase in national income met people's demand for goods and eased inflationary pressures. The results support the view of monetarism and help the government formulate economic policies in a prudent manner to control inflation in China. JEL classification numbers: A10, E52, P44 Keywords: ARDL bounds test, Long-Run, Monetary Neutrality.

Going through the operation in past years, high-tech industry has formally acquired positive affi rmation. The basic character of high-tech industry shows technology-intensive and capital-intensive high-risk and high-profi t industrial characteristics based on innovative competition. Since the maturity of the Internet, the entire education environment is largely changed and expanded to comprehensive and diverse computer multimedia networks. The application of multimedia to innovation education therefore becomes the new core of business management in technology industry. Aiming at employees of high-tech industry in Fujian Province, total 450 copies of questionnaire are distributed in this study, and 341 valid copies are retrieved, with the retrieval rate 76%. The research results show positive relations between 1.innovation education and technology innovation, 2.technology innovation and entrepreneurial competitiveness, and 3.innovation education and entrepreneurial competitiveness. At the end, suggestions are proposed according to the results, expecting to assist high-tech organizations in promoting technology innovation and entrepreneurial competitiveness through innovation education.