2019
DOI: 10.1002/joe.21981
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Delivering high‐tech, AI‐based health care at Apollo Hospitals

Abstract: With a population of more than 1.3 billion people, India has a rapidly growing need for health care, particularly in rural areas. Along with a widespread increase in the incidence of cancer, diabetes, and cardiovascular disease, the nation also is suffering from a shortage of health-care professionals. At Apollo Hospitals Enterprise Limited, the use of robotic surgery and artificial intelli-

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Cited by 38 publications
(25 citation statements)
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“…Industries across the globe are estimated to outside astonishing experiments and vicissitudes in the upcoming years (Åström, 2020;Kearney, 2002). It is understood that computerization and automated robotics through focused evolution will be perpetual in those variations (Agarwal, Jain, Sinha, & Dhir, 2020;Yoffie et al, 2016). Business model impression with process and strategy is depicted as below (Fig.…”
Section: Business Model Data Challengesmentioning
confidence: 99%
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“…Industries across the globe are estimated to outside astonishing experiments and vicissitudes in the upcoming years (Åström, 2020;Kearney, 2002). It is understood that computerization and automated robotics through focused evolution will be perpetual in those variations (Agarwal, Jain, Sinha, & Dhir, 2020;Yoffie et al, 2016). Business model impression with process and strategy is depicted as below (Fig.…”
Section: Business Model Data Challengesmentioning
confidence: 99%
“…In the AI-driven computerization, evolution means additional intelligence from linked data and associated devices, connected social platforms, media platforms, industry platforms and big data platforms, and advances in business model transformation through synchronization of technology (Abramowitz, 1988;Agarwal et al, 2020;Åström, 2020;Gentsch, 2019;Schulte & Liu, 2017). Statistical data performance metrics, real-time data analytics, information, and knowledge have been mounting at a confounding pace across worldwide (Dimitras et al, 1996;Huang & Hu, 2003;Lee, 2018).…”
Section: Business Model Data Challengesmentioning
confidence: 99%
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“…Technological acquisitions may lead to greater value creation, organizational innovation (Puranam, Singh, & Zollo, 2006), and successive performance of its affiliated organizations in cross‐border deals (Ahuja & Katila, 2001). The performance after M&A is often seen as a symbol of synergy benefits (Collins, Holcomb, Certo, Hitt, & Lester, 2009; Harrison et al, 1991) that involve technology innovation, value creation, and product development (Agarwal, Jain, Sinha, & Dhir, 2020; Parameswar, Hasan, Dhir, & Ongsakul, 2019). The main expectation of any acquisition is to gain a new market, gain a customer base (Mandal, Love, & Irani, 2003), develop skills, and innovative performance (Crook, Ketchen Jr, Combs, & Todd, 2008).…”
Section: Related Theoretical Backgroundmentioning
confidence: 99%
“…As an outcome, we will most likely to see a much-needed advancement of the marketplaces: more rapidly marketplaces, thinner set-ups and procedures, vivacious trades and businesses, mounting returns, well versed and up-to-date customers, and vigorous and selfmotivated businesses (Jarke & Radermacher, 1988, Scheer et al, 2012. On the consequence, better product provide more data and more users (Corea, 2019a, Ciuriak, 2019, Agarwal et al, 2020. This is called arti cial intelligence cycle.…”
Section: Business Model Transformationmentioning
confidence: 99%