From ideas to entrepreneurial opportunity: A study on AI

Ge, Baoshan; Wang, Qi; Yao, Meifang

doi:10.1002/sres.2874

Cited by 4 publications

(2 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The earlier assumes that opportunities are objective events that come from exogenous shocks, like technological changes, and they need to be explored. The latter supposes the opportunities are not available and are subjectively created through a continuous search of action and re-action by the entrepreneurs, which could be accelerated by technological enhancement (Ge et al, 2022). By emphasizing that both views are not independent, Mary George et al (2016) found six factors affecting opportunity recognition by entrepreneurs, including prior knowledge, social capital, cognition, environmental conditions, entrepreneurial alertness, and systematic search.…”

Section: Literature Review 21 Entrepreneurial Opportunity Recognition...mentioning

confidence: 99%

IoT-based entrepreneurial opportunities in smart transportation: a multidimensional framework

Pour¹,

Hosseinzadeh²,

Moradi³

2023

IJEBR

View full text Add to dashboard Cite

PurposeThe Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this technology is the transportation industry. By integrating the IoT with the transportation industry, there will be dramatic changes in the industry, and it will provide many entrepreneurial opportunities for entrepreneurs to develop new businesses. Opportunity identification is at the heart of the entrepreneurial process, and entrepreneurs identify innovative goods or services to enter a new market by identifying, evaluating, and exploiting opportunities. Despite the desire of transportation managers to invest in the IoT and the increase in research in this area, limited research has focused on IoT-based entrepreneurial opportunities in the transportation industry. Therefore, the present study aims to identify IoT-based entrepreneurial opportunities in the transportation industry and examine their importance.Design/methodology/approachTo achieve the research objective, the authors applied a mixed approach. First, adapting the lens of the industry value chain theory, a comprehensive literature review, besides a qualitative approach including semi-structured interviews with experts and thematic analysis, was conducted to identify the entrepreneurial opportunities. The identified opportunities were confirmed in the second stage using a quantitative survey method, including the Student t-test and factor analysis. Finally, the identified opportunities were weighted and ranked using the best worst method (BWM).FindingsEntrepreneurial opportunities are classified into five main categories, including “smart vehicles”, “business partners/smart transportation supply side”, “supporting services”, “infrastructures”, and “smart transport management and control”. The infrastructures group of opportunities ranked the highest amongst the identified groups.Originality/valueThis study adds to the digital entrepreneurship opportunity recognition literature by addressing opportunities in a smart industry propelled by digital technologies, including developing new products or new applications of the available technologies. Additionally, inspired by the industry value chain theory, this article develops a framework including various digital entrepreneurial opportunity networks which are necessary to add value to any industry and, thus, could be applied by entrepreneurs to recognize opportunities for new intermediaries to enter other digital-based industries. Finally, the present study identifies the IoT-based entrepreneurial opportunities in the smart transportation industry and prioritizes them, providing practical insights regarding the creation of entrepreneurial ecosystems in the field of smart transportation for entrepreneurs and policymakers.

show abstract

Section: Literature Review 21 Entrepreneurial Opportunity Recognition...mentioning

confidence: 99%

IoT-based entrepreneurial opportunities in smart transportation: a multidimensional framework

Pour¹,

Hosseinzadeh²,

Moradi³

2023

IJEBR

View full text Add to dashboard Cite

show abstract

“…AI may impact venture processes and practices. Research has been conducted on how AI can enhance entrepreneurial activities; meanwhile, attention has been shifted towards the entrepreneurial implications of AI (Ge & Zhao, 2022; Ge et al, 2022; Jia et al, 2022; Li, Xie, et al, 2022; Li, Zhang, et al, 2022; Nayyar, 2022; Su et al, 2022; Sun, He, et al, 2022; Sun, Xu, et al, 2022; Wang, 2022; Wang et al, 2022; Yao, Jin, et al, 2022; Yao, Ye, et al, 2022; Zhang et al, 2022; Zhang & Zhang, 2022).…”

mentioning

confidence: 99%