Emerging Technologies, Entrepreneurial Education, and Ambidextrous Innovation for Sustainable Entrepreneurial Startup
Muhammad Farrukh Shahzad,
José Moleiro Martins () and
Shuo Xu
Additional contact information
Muhammad Farrukh Shahzad: Beijing University of Technology, College of Economics and Management
José Moleiro Martins: ISCAL—Polytechnic Institute of Lisbon, Department of Management
Shuo Xu: Beijing University of Technology, College of Economics and Management
A chapter in Entrepreneurship and Human-Centric Business Strategies for Social and Economic Resilience, 2026, pp 2149-2165 from Springer
Abstract:
Abstract Artificial Intelligence (AI), Blockchain, Big Data Analytics, and Internet of Things (IoT) are the emerging techniques that lead to the breakneck pace, and change the opportunities for the entrepreneurial and pose difficulties in the startup culture. These technologies provide a way for new startups to shape the entrepreneurial ecosystems and help achieve the Sustainable Development Goals (SDGs). The aim of this study is to investigate the impact of technologies on the startups that lead toward the achievement of SDGs and enhance the role of education and innovation in the domain of entrepreneurship. PLS-SEM was used to measure the relationship between the constructs of the data that were collected from the 405 young entrepreneurs in China. The findings reveal that emerging technologies have a positive impact on achieving the SDGs from the entrepreneurial startups. Similarly, entrepreneurial education positively mediates the relationship among emerging technologies and startups. Moreover, ambidextrous innovation moderates the positive value of entrepreneurial education and startups. This study also helps to provide valuable insight into academia, policymakers, and industry by using technology-driven entrepreneurship.
Keywords: Emerging technologies; Entrepreneurial startups; Entrepreneurial education; Ambidexterity innovation; SDGs (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-95-6415-6_134
Ordering information: This item can be ordered from
http://www.springer.com/9789819564156
DOI: 10.1007/978-981-95-6415-6_134
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().