RETRACTED CHAPTER: Deep Tech and Artificial Intelligence for Worker Safety in Robotic Manufacturing Environments

Alonso, Ricardo S.

doi:10.1007/978-3-030-53829-3_27

Cited by 4 publications

(1 citation statement)

References 71 publications

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“…Deep tech entrepreneurship exists for a wide range of specialties, such as Internet of Things (IoT) and Industry 4.0 technologies (Alonso, 2021), aircraft and spacecraft technologies (OECD Directorate for Science, Technology and Industry, 2011), distributed-ledger and blockchain technologies (Shoeibi, 2021), biotechnology (Portincaso et al, 2020), advanced materials, nanotechnology (Different, 2020), photonics (Boston Consulting Group and Hello Tomorrow, 2019), electronics (Sinclair, 2020), augmented & virtual reality (AR & VR) (Different, 2020), medical technologies, quantum computing technologies, renewable energy technologies, artificial intelligence (AI), robotics, agriculture technologies, and autonomous technologies (SGInnovate, 2019;Chaturvedi, 2015). As it may seem, the problems that can be tackled with deep tech range from autonomous governance of data (Yanık and Kılıç, 2018) to curing cancer (Portincaso et al, 2020).…”

Section: Deep Tech Entrepreneurship In the Worldmentioning

confidence: 99%

Derin Teknoloji Girişim Kategorileri Arasındaki Benzerlik ve Farklılıkların Analizi: Türkiye Örneği

KILIÇ¹,

DURAN²

2021

JEIM

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This study aims to understand the similarities and dissimilarities among categories of deep tech entrepreneurship and to be a starting point for academia to further explore the significance of the deep tech field. Methodology: We have surveyed 126 deep tech startups and used hypothesis testing to understand how attributes such as needs, education level of the founders, financing types differs based on deep tech startup categories. Findings: We have discovered that while the location of the deep tech startup, the education level of the founders, the past entrepreneurship experience of the founders, and the sales footprint characteristic of the deep tech startup vary according to the deep tech category, the needs of the deep tech startups are similar for each category. Practical Implications: The results are expected to help practitioners make their decisions more accurately while investing or collaborating with deep tech startups. Similarly, policymakers can use the results to develop more relevant policies to support the deep tech entrepreneurship ecosystem. Originality: This study is unique in terms of; 1) defining deep tech in academia 2) understanding how deep tech attributes are related with deep tech categories. 3) exploring deep tech in a developing country.

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Section: Deep Tech Entrepreneurship In the Worldmentioning

confidence: 99%