Research on Innovation and Entrepreneurship Opportunity Identification and Risk Avoidance in Digital Transformation of Housing Industry Chain

Abstract

Against the background of accelerated digital transformation of the housing industry chain, innovation and entrepreneurship have become an important engine to promote industrial structure upgrading and economic growth. Identifying entrepreneurial opportunities and effectively avoiding entrepreneurial risks have become the core issues of concern for policy makers and entrepreneurs. This study focuses on the identification of innovation and entrepreneurship opportunities and risk avoidance in the context of digital transformation of the housing industry chain, and adopts the fuzzy set qualitative comparative analysis (fsQCA) method and the DEMATEL-ISM model to conduct a systematic analysis. 492 valid samples were collected through questionnaires, and variable calibration was completed after reliability and validity tests. The results of the fsQCA indicate that entrepreneurial alertness, learning ability, social network and educational environment constitute a “two-factor entrepreneur-environment driven” path; Digital technology, policy and education conditions constitute the “all-factor-driven” path, and three high entrepreneurial opportunity identification groupings were identified, with an overall consistency of 0.841 and a coverage of 0.426. In terms of risk aversion, the DEMATEL-ISM model identifies the influence of financial support and government support as 0.6983 and 0.6918 respectively, which are core risk factors. The study reveals the entrepreneurial opportunity generation mechanism and entrepreneurial risk hierarchy relationship under multiple concurrent conditions, which provides a basis for entrepreneurial decision-making in the digital upgrading of the housing industry chain.