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Smart Digital Technology Driven Experience Design of Job Seeking Social Skills Training for University Students in Campus Scenarios via Business Model Innovation

  • Yixin Liu,
  • Zhen Liu

摘要

The development and application of digital technology have led to changes in the employment structure and working style of the labor market, and the lower the density of interpersonal skills in the occupation, the easier it is to be replaced by artificial intelligence. However, emerging technological competitiveness drives innovation in user-centered business models creating more jobs. As such, smart digital technology-driven social skills training for university students in campus scenarios via business model innovation is conducive to mitigating the employment impact by the development of artificial intelligence, striking a balance between the objectives of technological development and stable employment. However, the current research lacks the exploration of the influence mechanism of smart digital technology and business model innovation on user experience at the theoretical level, which is necessary to investigate the structural relationship among experience design, business model innovation, and smart digital technology. In addition, at the application level, there is a lack of evaluation and feedback on user experience in the field of social skills training, as well as product and platform assistance in the social skills training experience process. Therefore, this paper aims to investigate the mode mechanism of social skills training experience driven by smart digital technology and business model innovation and design a new experience of job-hunting social skills training in campus scenarios.