• PPT Course for Content ECommerce • A comparative study of talent demand in e-commerce industry •Catalog 1 •Present situation 2 •Difference test 3 •comparative analysis 4 •Conclusion and Enlightenment #1 • Present situation 3 •Development of Electronic Commerce Industry •Transaction Scale of Electronic Commerce Industry •Over the past five years, CAGR has been 40% in the e-commerce industry.+ •Talent Demand of E-commerce Industry •The demand for talents in e-commerce industry, •In the past five years, it has increased nearly eight times. •Development of Electronic Commerce Industry •[Promoting Employment] •In 2012, Taobao Online Shopping Platform brought more than 3 million direct employment and more than 10 million indirect employment to the society. •[Expanding domestic demand] •To provide domestic consumers with a large number of cheap and high-quality goods and services, effectively help Chinese enterprises to achieve "export-to-domestic sales" •[Improving the competitiveness of industrial structure] •It provides a basis for mass customization and flexible manufacturing, and changes the traditional production organization and management mode of enterprises. •[Promoting coordinated development of regional economy] •E-commerce platform represented by Taobao provides a broad market for enterprises and businessmen in the central and western regions of China. •Pressure on Talents •China E-commerce Talents Report 2012, 43% of e-commerce enterprises are short of personnel •Looking for talent is the most important job for a CEO because "people are becoming more and more expensive, less and less, and will not change in a few years." • CEO of Ebon Power • Zheng Min •Statistics of China Electronic Commerce Association: The number of direct practitioners of e-commerce enterprises is about 2.13 million. The gap in the next five years will be more than 3 million. •" •For a while, I spent almost 100% of my time looking for people. • •" Minmi founder, Lei Jun #2 • Talent Demand of E-commerce Industry • Difference test •data sources •A total of 543 661 data were collected, of which 459 816 were valid, with an effective rate of 84.58%. • data sources •56,000,000 registered users •2,100,000 effective positions/days •200,000,000 + page views / day • time span •From the end of February 2013 to the end of April 2013 • •Electronic Commerce Industry, IT Industry and Traditional Industry • •Educational background and work experience Industry concern Focus on variables •Model establishment •Overview of Chi-square Test •Chi-square test is a widely used counting data.•Hypothesis testing method •Steps for Chi-square test •Establishing the Zero Hypothesis •Determine the data interval • Actual difference •Determine test results •Model Building-Data Analysis • Education * Chi-square test for industry (e-commerce industry-IT industry)   value df Gradual Sig. (bilateral) Pearson Chi Square 2621.332a 6 .000 likelihood ratio 2642.852 6 .000 N in Effective Cases 165476     •The expected count of cells a.0 (.0%) is less than 5.The minimum expected count is 32.85. •P value (progressive Sig.) was 0.000 < 0.05. •There is a significant difference between E-commerce industry and IT industry. •Model Building-Data Analysis •Education * Industry (e-commerce industry - IT industry)   value df Progressive Sig. Pearson Chi Square 2621.332a 6 likelihood ratio 2642.852 6 .000 .000 165476     N in Effective Cases • Work experience * industry (e-commerce industry - IT industry) Progressiv e Sig.   value df Pearson Chi Square 1164.202a 6 likelihood ratio 1165.613 6 .000 .000 143297     N in Effective Cases • Education * industry (e-commerce industry - traditional industry)   Pearson Chi Square likelihood ratio value df 7601.211a 6 7872.819 6 N in Effective Cases .000 .000 159195     • Progressive Sig. Work experience * industry (e-commerce industry traditional industry)   value df Pearson Chi Square 2182.366a 6 likelihood ratio 2202.317 6 .000 .000 N in Effective Cases 140740     •All chi-square test results p value is less than 0.05, indicating: Progressive Sig. •E-commerce and other two industries in the academic and work experience dimensions, the demand for talent is significantly different. #3 • Talent Demand of E-commerce Industry • comparative analysis •The Demand Characteristics of Educational Degree in E-Com

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