The Future of Technology Exploring Emerging Trends and Their Impact on Society

The Future of Business: Exploring the Impact of Emerging Technologies on Industry Trends

As we stand at the cusp of a new era, the convergence of emerging technologies is becoming clearer than ever that businesses are poised for unparalleled prosperity and the conquest of novel market frontiers. The ongoing trends are speeding up, having long marked the digital era quickness, size, and granularity. However, what is really making the difference is the extent and impact these changes are causing to boost more advanced analytical capabilities of fresh innovators, businesses, and ways of doing it.

To understand how emerging technologies will impact industry trends, let us delve into the pace and proliferation of innovations that call for continuous improvement, further changing the future of how businesses perceive productivity and efficiency.

Generative AI and Machine Learning

As we traverse the intricate nexus between AI and business, it becomes abundantly clear that these are not merely tools but incendiary forces fanning the flames of transformation in the business world. GenAI and ML technologies have a proclivity for automating mundane tasks that bestow upon organizations the gift of sagacious decision-making.

The ubiquitous assimilation of AI and ML in optimizing the alchemy of supply chain dynamics by predicting undulations in demand, imperative reskilling the workforce, emerging as the stalwart sentient fortifying the bulwarks of cybersecurity and navigating the nuanced terrain of many other businesses and markets compasses the emergence of novel vocational dynamism.

Deploy AI responsibly to encourage a culture of experimentation!

Sam Altman, Former CEO of OpenAI, shares his insights on how AI will impact various aspects of business, There are going to be a ton of models in the world. I think the trajectory were on is that its going to be a fundamental enabling of technology. He further added, This technology and society will coevolve. People will use it in different ways and for different reasons.

Whats next for business?

The emergence of GenAI will change the far-reaching consequences of industry trends but wont replace humans. The alacrity with which businesses comprehend will be crucible with GenAI and MLs help to perform advanced operations, R&D, and other hyper-customized activities. It can help companies to complete their work in-house that would generally be outsourced.

Redefining Trust and Transparency with Blockchain

The transparent, trustworthy, revolutionary, and Innovative advent of cryptocurrency has emerged as an influential force to transform businesses. Industries such as finance, supply chain, healthcare, and banking are witnessing a paradigm shift with the emergence of blockchain technology and its imminent metamorphosis for businesses. With the power of seamless integration with the customers and stakeholders, the decentralized nature of blockchain offers agility, flexibility, and new ways to trust with the counterparties. This automation not only expedites processes but also mitigates the risks of contractual disputes.

EY Global Blockchain Leader Paul R. Brody boiled down all of our aspirations for blockchain in a single sentence: We believe that blockchain will do for networks and enterprises what ERP did for organizations. It was transformational. Before ERP, the left hand and the right hand didnt really know what was going on.

Blockchain can connect buyers and sellers representing all the assets in the form of tokens that can automatically enforce business rules whether you want to issue an insurance contract or grab a good discount on merchandise. For example, it is a game changer enabling easy global payments, treasury management, ESG enablement, instilling stakeholder trust, supporting organizations decarbonization efforts, and more.

Whats next for business?

Well, logic gets more complicated and challenging when it falls into a business agreement. It is not merely an emerging industry trend but a course toward resilience and relevance in the dynamic tapestry of the future. C-suite companies are likely to focus on invisible blockchains to drive process efficiency without drawing much attention.

Enhancing Customer Engagements with Augmented Reality (AR) and Virtual Reality (VR)

Whether it is a metaverse or virtual environment, AR and VR are hosting more and more business applications. In the era of technological evolution, these two technologies stand as vanguards dynamically shaping and reshaping industry trends into uncharted territories. For example, AR and VR enable virtual try-ons in retail to enhance customer product demonstrations, offer a risk-free environment for hands-on learning in healthcare and aviation, allow architects and designers to visualize projects in 3D spaces, and even redefine gaming experiences, facilitating better communication and collaborative experiences.

I do think that a significant portion of the population of developed countries, and eventually all countries, will have AR experiences every day, almost like eating three meals a day. It will become that much a part of you.- Tim Cook, CEO of Apple Inc.

Whats next for business?

AR and VR are growing at a rapid pace, strategically embracing and integrating immersive technologies to adopt evolving industry trends. The technology is likely to find its place within an ecosystem where its implementation can quickly deliver value. For example, machine and facility maintenance, new-generation headsets, 3D mapping, and real-time tracking.

Transform Your Vision into Reality by joining Rushfords multiple online and on-campus AR-VR programs!

Perpetual Learning Culture Promising Tech-Literacy at Rushford Business School

By 2025, more than 50 billion devices will be connected to the Industrial Internet of Things (IIoT), while 70 percent of manufacturers are expected to be using digital twins regularly. McKinsey& Company confirms, The global metaverse revenue opportunity could approach $800 billion in 2024, up from about $500 billion in 2020.

In the epoch of technological transformation, a seismic shift is underway. At Rushford Business School, we go beyond the traditional classroom experience by offering some unique learning courses and pushing innovation to the edge of the organization. While there will be a need for more formalized paths toward foundational to advanced learning opportunities, we deliver varying technical skills through our customized course programs.

Think Management. Think Rushford.

Rushford Business School promises tech literacy for its students by training them to comfortably work in new environments such as Metaverse and continuously evolve their skills to keep up with emerging industry trends.

Our mission is to prepare the next generation of business leaders to succeed in a rapidly changing global economy.

We guarantee high-quality education and exceptional career opportunities for our students. This communitys habit expands the boundaries of existing knowledge and expertise a practice that transcends individual accomplishments to elevate the collective proficiency of the entire program.

Powerful Convergence in the Business World Today

The convergence among emerging technologies is not just a theoretical abstraction but a palpable reality. AI, GenAI, AR, VR, Blockchain, 5G, IoT, and more such technological advancements are elevating mundane processes and instigating a profound impact on them. These are just a few of the numerous technological convergences impacting the business world today.

Next comes the integration of these technologies with global standards and processes, instilling sustainability, trust, and transitions. GenAIs alchemical processes not only cost savings in the supply chain industry but also responsively perform agile processes. Financial institutions are compelled to reassess their strategies using decentralized financial gains, offering alternatives to conventional banking systems.

As an incoming student at Rushford, you will be complemented by real-world insights into emerging technologies that empower you to hone your skills and identify strengths and differences.

Build your capabilities to absorb continuous change and make it a source of competitive advantage!

The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients

• Agarwal, Ritu, Guodong Gao, Catherine DesRoches, and Ashish K. Jha. 2010. Research commentaryThe digital transformation of healthcare: Current status and the road ahead. Information Systems Research 21 (4): 796809.

  Google Scholar

• Agarwal, Ritu, Michelle Dugas, Guodong Gordon Gao, and P.K. Kannan. 2020. Emerging technologies and analytics for a new era of value-centered marketing in healthcare. Journal of the Academy of Marketing Science 48 (1): 923.

  Google Scholar

• Anderson, Catherine L., and Ritu Agarwal. 2011. The digitization of healthcare: boundary risks, emotion, and consumer willingness to disclose personal health information. Information Systems Research 22 (3): 469490.

  Google Scholar

• Armstrong, Mark. 2006. Competition in Two-Sided Markets. RAND Journal of Economics 37 (3): 668691.

  Google Scholar

• Bakos, J.Yannis. 1991. Information links and electronic marketplaces: the role of interorganizational information systems in vertical markets. Journal of Management Information Systems 8 (2): 3152.

  Google Scholar

• Bardhan, I.R., and M.F. Thouin. 2013. Health information technology and its impact on the quality and cost of healthcare delivery. Decision Support Systems 55 (2): 438449.

  Google Scholar

• Basole, Rahul C., Hyunwoo Park, and Raul O. Chao. 2018. Visual analysis of venture similarity in entrepreneurial ecosystems. IEEE Transactions on Engineering Management 66 (4): 568582.

  Google Scholar

• Baum, P., F. Abadie, F. V. Lupiaez, I. Maghiros, E. V. Mora, and M. B. Z. Talaya. 2013. Market DevelopmentsRemote Patient Monitoring and Treatment, Telecare, Fitness/Wellness and mHealth. Strategic Intelligence Monitor on Personal Health Systems.

• Bhattacherjee, Anol, and Neset Hikmet. 2007. Physicians' resistance toward healthcare information technology: a theoretical model and empirical test. European Journal of Information Systems 16 (6): 725737.

  Google Scholar

• Blumenthal, David. 2011. Implementation of the federal health information technology initiative. New England Journal of Medicine 365 (25): 24262431.

  Google Scholar

• Bhm, M., G. Koleva, S. Leimeister, C. Riedl, and H. Krcmar. 2010. Towards a Generic Value Network for Cloud Computing. In International Workshop on Grid Economics and Business Models. Berlin: Springer.

• Botha, Adle, Martin Weiss, and Marlien Herselman. 2018. Towards a Taxonomy of mHealth. In International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa

• Brigl, B., E. Ammenwerth, C. Dujat, S. Grber, A. Groe, A. Hber, C. Jostes, and A. Winter. 2005. Preparing strategic information management plans for hospitals: a practical guideline. International journal of medical informatics 74 (1): 5165.

  Google Scholar

• Butler, Brian S., Patrick J. Bateman, and Peter H. Gray. 2014. An Attraction-Selection-Attrition Theory of Online Community Size and Resilience. MIS Quarterly 38 (3): 699728.

  Google Scholar

• Cennamo, Carmelo. 2019. Competing in Digital Markets: A Platform-Based Perspective. Academy of Management Perspectives(in press).

• Cennamo, Carmelo, and Juan Santalo. 2013. Platform competition: Strategic trade-offs in platform markets. Strategic management journal 34 (11): 13311350.

  Google Scholar

• Choi, Jinwook, Jin Wook Kim, Jeong-Wook Seo, Chun Kee Chung, Ju Kyung-Hwan Kim, Han Kim, Jong Hyo Kim, Eui Kyu Chie, Hyun-Jai Cho, and Jin Mo Goo. 2010. Implementation of consolidated HIS: improving quality and efficiency of healthcare. Healthcare informatics research 16 (4): 299304.

  Google Scholar

• Choi, Edward, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, and Jimeng Sun. 2016. Multi-layer representation learning for medical concepts. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

• Christensen, Clayton M., Thomas Bartman, and Derek Van Bever. 2016. The hard truth about business model innovation. MIT Sloan Management Review 58 (1): 3140.

  Google Scholar

• Clemons, Eric K. 2018. New Patterns of Power and Profit: A Strategist's Guide to Competitive Advantage in the Age of Digital Transformation. Cham: Palgrave Macmillan.

  Google Scholar

• EU Commission. 2020. European Open Science Cloud https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud. Accessed 22 June 2020.

• European Commission. 2018. Antitrust: Commission fines Google 4.34 billion for illegal practices regarding Android mobile devices to strengthen dominance of Google's search engine. https://europa.eu/rapid/press-release_IP-18-4581_en.htm. Accessed 01 May 2019.

• Constantinides, Panos, Ola Henfridsson, and Geoffrey G. Parker. 2018. IntroductionPlatforms and Infrastructures in the Digital Age. Information Systems Research 29 (2): 253523.

  Google Scholar

• Davidson, Elizabeth, Aaron Baird, and Karl Prince. 2018. Opening the envelope of health care information systems research. Information and Organization 28 (3): 140151.

  Google Scholar

• de Reuver, Mark, Carsten Srensen, and Rahul C. Basole. 2018. The digital platform: a research agenda. Journal of Information Technology 33 (2): 124135.

  Google Scholar

• DesRoches, Catherine M., Eric G. Campbell, Sowmya R. Rao, Karen Donelan, Timothy G. Ferris, Ashish Jha, Rainu Kaushal, Douglas E. Levy, Sara Rosenbaum, and Alexandra E. Shields. 2008. Electronic health records in ambulatory carea national survey of physicians. New England Journal of Medicine 359 (1): 5060.

  Google Scholar

• Dijck, Van, Thomas Poell Jos, and Martijn De Waal. 2018. The platform society: Public values in a connective world. Oxford: Oxford University Press.

  Google Scholar

• Downey, Andrea. 2019. Privacy organisation raises concerns over NHS and Amazon deal. https://www.digitalhealth.net/2019/12/amazon-nhs-data-agreement/. Accessed 22 June 2020.

• Edelman, Benjamin, and Damien Geradin. 2016. Android and competition law: exploring and assessing Googles practices in mobile. European Competition Journal 12 (23): 159194.

  Google Scholar

• Eisenmann, Thomas, Geoffrey Parker, and Marshall Van Alstyne. 2011. Platform envelopment. Strategic management journal 32 (12): 12701285.

  Google Scholar

• Evans, David S. 2012. Governing bad behavior by users of multi-sided platforms. Berkeley Technology Law Journal 27 (2): 12011250.

  Google Scholar

• Evans, Peter C., and Annabelle Gawer. 2016. The rise of the platform enterprise: a global survey.

• FDA. 2018. Is The Product A Medical Device? https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/Overview/ClassifyYourDevice/ucm051512.htm. Accessed 10 July 2020.

• Fein, A.J. 1998. Understanding evolutionary processes in non-manufacturing industries: Empirical insights from the shakeout in pharmaceutical wholesaling. Journal of Evolutionary Economics 8 (3): 231270.

  Google Scholar

• Fichman, Robert G., Rajiv Kohli, and Ranjani Krishnan. 2011. Editorial overviewthe role of information systems in healthcare: current research and future trends. Information Systems Research 22 (3): 419428.

  Google Scholar

• Fleiss, Joseph L. 1971. Measuring nominal scale agreement among many raters. Psychological Bulletin 76 (5): 378382.

  Google Scholar

• Frost, Jeana, and Michael Massagli. 2008. Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one anothers data. Journal of Medical Internet Research 10 (3): e15.

  Google Scholar

• Fller, Johann, Katja Hutter, Julia Hautz, and Kurt Matzler. 2014. User roles and contributions in innovation-contest communities. Journal of Management Information Systems 31 (1): 273308.

  Google Scholar

• Garg, Amit X., Neill K.J. Adhikari, M. Heather McDonald, Patricia Rosas-Arellano, Philip J. Devereaux, Joseph Beyene, Justina Sam, and R. Brian Haynes. 2005. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 293 (10): 12231238.

  Google Scholar

• Garis, Robert I., Bartholomew E. Clark, Mark V. Siracuse, and Michael C. Makoid. 2004. Examining the value of pharmacy benefit management companies. American Journal of Health-System Pharmacy 61 (1): 8185.

  Google Scholar

• Gawer, Annabelle. 2014. Bridging differing perspectives on technological platforms: Toward an integrative framework. Research policy 43 (7): 12391249.

  Google Scholar

• Gerwe, Oksana, and Rosario Silva. 2018. Clarifying the sharing economy: conceptualization, typology, antecedents, and effects. Academy of Management Perspectives(in press).

• Ghazawneh, Ahmad, and Ola Henfridsson. 2013. Balancing platform control and external contribution in third-party development: the boundary resources model. Information Systems Journal 23 (2): 173192.

  Google Scholar

• Goh, Jie Mein, Guodong Gao, and Ritu Agarwal. 2016. The creation of social value: Can an online health community reduce ruralurban health disparities? MIS quarterly 40 (1): 247263.

  Google Scholar

• Gordijn, Jaap, and Hans Akkermans. 2001. Designing and evaluating e-business models. IEEE intelligent Systems 4: 1117.

  Google Scholar

• Gordijn, Jaap, and J.M. Akkermans. 2003. Value-based requirements engineering: exploring innovative e-commerce ideas. Requirements engineering 8 (2): 114134.

  Google Scholar

• Gupta, Ashish, and Ramesh Sharda. 2013. Improving the science of healthcare delivery and informatics using modeling approaches. Decision Support Systems 55 (2): 423427.

  Google Scholar

• Hammond, W.E., C. Jaffe, and R.D. Kush. 2009. Healthcare standards development: The value of nurturing collaboration. Journal of AHIMA 8 (7): 4450.

  Google Scholar

• Han, Yong Y., Joseph A. Carcillo, Shekhar T. Venkataraman, Robert S.B. Clark, R. Scott Watson, Trung C. Nguyen, Hlya Bayir, and Richard A. Orr. 2005. Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics 116 (6): 15061512.

  Google Scholar

• Handel, M.J. 2011. mHealth (mobile health)using apps for health and wellness. EXPLORE: The Journal of Science and Healing 7 (4): 256261.

  Google Scholar

• Hansen, Sean, and A. James Baroody. 2020. Electronic Health Records and the Logics of Care: Complementarity and Conflict in the US Healthcare System. Information Systems Research 31 (1): 5775.

  Google Scholar

• Hansen, Rina, and Siew Kien Sia. 2015. Hummel's Digital Transformation Toward Omnichannel Retailing: Key Lessons Learned. MIS Quarterly Executive 14 (2): 5166.

  Google Scholar

• Hardyman, Wendy, Kate L. Daunt, and Martin Kitchener. 2015. Value co-creation through patient engagement in health care: a micro-level approach and research agenda. Public Management Review 17 (1): 90107.

  Google Scholar

• HealthData.gov. 2020. Welcome to HealthData.gov. https://healthdata.gov/. Accessed 22 June 2020.

• HealthIT.gov. 2019. What is telehealth? How is telehealth different from telemedicine? https://www.healthit.gov/faq/what-telehealth-how-telehealth-different-telemedicine. Accessed 29 June 2020.

• Hein, Andreas, David Soto Setzke, Sebastian Hermes, and Jrg Weking. 2019. The Influence of Digital Affordances and Generativity on Digital Platform Leadership. In 40th International Conference on Information Systems, Munich.

• Hein, Andreas, Maximilian Schreieck, Tobias Riasanow, David Soto Setzke, Manuel Wiesche, Markus Bhm, and Helmut Krcmar. 2020. Digital platform ecosystems. Electronic Markets 30 (1): 8798.

  Google Scholar

• Henry, J, Yuriy Pylypchuk, Talisha Searcy, and Vaishali Patel. 2016. Adoption of electronic health record systems among US non-federal acute care hospitals: 20082015. ONC data brief 35.

• Hermes, Sebastian, Eric K Clemons, Maximilian Schreieck, Simon Pfab, Maya Mitre, Markus Bhm, Manuel Wiesche, and Helmut Krcmar. 2020a. Breeding Grounds of Digital Platforms: Exploring the Sources of American Platform Domination, China's Platform Self-Sufficiency, and Europe's Platform Gap. In 28th European Conference on Information Systems, Marrakesh, Morocco.

• Hermes, Sebastian, Jonas Kaufmann-Ludwig, Maximilian Schreieck, Jrg Weking, and Markus Bhm. 2020b. A Taxonomy of Platform Envelopment: Revealing Patterns and Particularities. In 26th Americas Conference on Information Systems, Salt Lake City, USA.

• Hermes, Sebastian, Manuel Maier, Andreas Hein, Markus Bhm, and Helmut Krcmar. 2020c. User Roles on Peer-to-Peer Sharing Platforms: A Critical Review of the Literature and Recommended Remedies. In Proceedings of the 53rd Hawaii International Conference on System Sciences.

• Hillestad, Richard, James Bigelow, Anthony Bower, Federico Girosi, Robin Meili, Richard Scoville, and Roger Taylor. 2005. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Affairs 24 (5): 11031117.

  Google Scholar

• Hiremath, Shivayogi, Geng Yang, and Kunal Mankodiya. 2014. Wearable Internet of Things: Concept, Architectural Components and Promises for Person-Centered Healthcare. In 4th International Conference on Wireless Mobile Communication and HealthcareTransforming healthcare through innovations in mobile and wireless technologies: ICST.

• Hsia, Tzyh-Lih, An-Jen Chiang, Wu Jen-Her, Nelson N.H. Teng, and Amir Dan Rubin. 2019. What drives E-Health usage? Integrated institutional forces and top management perspectives. Computers in Human Behavior 97: 260270.

  Google Scholar

• Iyawa, Gloria Ejehiohen, Marlien Herselman, and Adele Botha. 2016. Digital Health Innovation Ecosystems: From Systematic Literature Review to Conceptual Framework. Procedia Computer Science 100: 244252.

  Google Scholar

• Jacobides, M.G., C. Cennamo, and A. Gawer. 2018. Towards a Theory of Ecosystems. Strategic Management Journal 39 (8): 22552276.

  Google Scholar

• Jambulingam, T., R. Kathuria, and W.R. Doucette. 2005. Entrepreneurial orientation as a basis for classification within a service industry: the case of retail pharmacy industry. Journal of operations management 23 (1): 2342.

  Google Scholar

• Jha, Ashish K., Catherine M. DesRoches, Eric G. Campbell, Karen Donelan, Sowmya R. Rao, Timothy G. Ferris, Alexandra Shields, Sara Rosenbaum, and David Blumenthal. 2009. Use of electronic health records in US hospitals. New England Journal of Medicine 360 (16): 16281638.

  Google Scholar

• Kaltenecker, Natalie, Thomas Hess, and Stefan Huesig. 2015. Managing potentially disruptive innovations in software companies: Transforming from On-premises to the On-demand. The Journal of Strategic Information Systems 24 (4): 234250.

  Google Scholar

• Kane, Gerald C. 2015. How digital transformation is making health care safer, faster and cheaper. MIT Sloan Management Review 57 (1).

• Kane, Gerald C. 2017. Big data and IT talent drive improved patient outcomes at Schumacher clinical partners. MIT Sloan Management Review 59 (1).

• Kane, Gerald C., and Giuseppe Labianca. 2011. IS avoidance in health-care groups: A multilevel investigation. Information Systems Research 22 (3): 504522.

  Google Scholar

• Katz, Michael L., and Carl Shapiro. 1994. Systems competition and network effects. Journal of Economic Perspectives 8 (2): 93115.

  Google Scholar

• Kelle, Peter, John Woosley, and Helmut Schneider. 2012. Pharmaceutical supply chain specifics and inventory solutions for a hospital case. Operations Research for Health Care 1 (23): 5463.

  Google Scholar

• Kellermann, Arthur L., and Spencer S. Jones. 2013. What it will take to achieve the as-yet-unfulfilled promises of health information technology. Health Affairs 32 (1): 6368.

  Google Scholar

• Kierkegaard, Patrick. 2013. E-Prescription across Europe. Health and Technology 3 (3): 205219.

  Google Scholar

• Kim, W.Chan. 2005. Blue ocean strategy: from theory to practice. California management review 47 (3): 105121.

  Google Scholar

• Kohn, Linda T, Janet Corrigan, and Molla S Donaldson. 2000. To err is human: building a safer health system. Report of the Committee on Quality of Health Care in America, Institute of Medicine. Washington, DC: National Academy Press.

• Kruse, Clemens Scott, Caitlin Kristof, Beau Jones, Erica Mitchell, and Angelica Martinez. 2016. Barriers to electronic health record adoption: a systematic literature review. Journal of Medical Systems 40 (12): 252.

  Google Scholar

• Kumar, Sameer, Neha S. Ghildayal, and Ronak N. Shah. 2011. Examining quality and efficiency of the US healthcare system. International Journal of Health Care Quality Assurance 24 (5): 366388.

  Google Scholar

• Kumar, S., W. Nilsen, M. Pavel, and M. Srivastava. 2013. Mobile Health: Revolutionizing Healthcare Through Transdisciplinary Research. Computer 46 (1): 2835.

  Google Scholar

• Li, He, Wu Jing, Yiwen Gao, and Yao Shi. 2016. Examining individuals adoption of healthcare wearable devices: An empirical study from privacy calculus perspective. International journal of medical informatics 88: 817.

  Google Scholar

• Lucas Jr, H., R. Agarwal, Eric K. Clemons, Omar A. El Sawy, and Bruce Weber. 2013. Impactful research on transformational information technology: an opportunity to inform new audiences. MIS Quarterly 37 (2): 371382.

  Google Scholar

• Lupton, Deborah. 2013. The digitally engaged patient: Self-monitoring and self-care in the digital health era. Social Theory & Health 11 (3): 256270.

  Google Scholar

• Lusch, Robert F., and Satish Nambisan. 2015. Service innovation: A service-dominant logic perspective. MIS quarterly 39 (1): 155175.

  Google Scholar

• Luxton, D.D., R.A. McCann, E. Bush, M.C. Mishkind, and G.M. Reger. 2011. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Professional Psychology: Research and Practice 42 (6): 505512.

  Google Scholar

• Malhotra, Naresh K., Sung S. Kim, and James Agarwal. 2004. Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research 15 (4): 336355.

  Google Scholar

• Marra, Alessandro, Paola Antonelli, Luca DellAnna, and Cesare Pozzi. 2015. A network analysis using metadata to investigate innovation in clean-tech Implications for energy policy. Energy Policy 86: 1726.

  Google Scholar

• Mayring, Philipp. 2010. Analyseverfahren erhobener Daten. In Handbuch Qualitative Forschung in der Psychologie, 601613. Mnchen: Psychologie-Verl.-Union.

• McClellan, Sean R., Lawrence P. Casalino, Stephen M. Shortell, and Diane R. Rittenhouse. 2013. When does adoption of health information technology by physician practices lead to use by physicians within the practice? Journal of the American Medical Informatics Association 20 (e1): e26e32.

  Google Scholar

• McColl-Kennedy, Janet R., Stephen L. Vargo, Tracey S. Dagger, Jillian C. Sweeney, and Yasmin van Kasteren. 2012. Health care customer value cocreation practice styles. Journal of Service Research 15 (4): 370389.

  Google Scholar

• Meier, Carlos A., Maria C. Fitzgerald, and Joseph M. Smith. 2013. eHealth: extending, enhancing, and evolving health care. Annual Review of Biomedical Engineering 15: 359382.

  Google Scholar

• Mesk, Bertalan, Zsfia Drobni, va Bnyei, Bence Gergely, and Zsuzsanna Gyrffy. 2017. Digital health is a cultural transformation of traditional healthcare. Mhealth 3 (38).

• Meyer, Tim, and Carmelo Cennamo. 2019. For Which Incumbents Are Digital Platforms Really a Threat?The Role of Asset Ownership. In Academy of Management Proceedings. New York: Academy of Management Briarcliff Manor.

• Mikulic, Matej. 2020. Investor funding in digital health industry 20102019 https://www.statista.com/statistics/388858/investor-funding-in-digital-health-industry/. Accessed 10 July 2020.

• Miles, M. B., and M. Huberman. 1994. Qualitative data analysis: An expanded sourcebook. sage. 3 Aufl.

• Mircea, R.U.S.U., Gavril Saplacan, Gheorghe Sebestyen, Nicolae Todor, Lorand Krucz, and Cristian Lelutiu. 2010. eHealth: towards a healthcare service-oriented boundary-less infrastructure. Applied Medical Informatics 27 (3): 114.

  Google Scholar

• Mosadeghi, Sasan, Mark William Reid, Bibiana Martinez, Bradley Todd Rosen, and Brennan Mason Ross Spiegel. 2016. Feasibility of an immersive virtual reality intervention for hospitalized patients: an observational cohort study. JMIR Mental Health 3 (2): e28.

  Google Scholar

• Murakami, Haruka, Ryoko Kawakami, Satoshi Nakae, Yoshio Nakata, Kazuko Ishikawa-Takata, Shigeho Tanaka, and Motohiko Miyachi. 2016. Accuracy of wearable devices for estimating total energy expenditure: comparison with metabolic chamber and doubly labeled water method. JAMA Internal Medicine 176 (5): 702703.

  Google Scholar

• Myers, Michael D., and Michael Newman. 2007. The qualitative interview in IS research: Examining the craft. Information and Organization 17 (1): 226.

  Google Scholar

• Oh, H., C. Rizo, M. Enkin, and A. Jadad. 2005. What is eHealth (3): a systematic review of published definitions. Journal of Medical Internet Research 7 (1): e1.

  Google Scholar

• Oldenburg, Brian, C. Barr Taylor, Adrienne O'Neil, Fiona Cocker, and Linda D. Cameron. 2015. Using new technologies to improve the prevention and management of chronic conditions in populations. Annual Review of Public Health 36: 483505.

  Google Scholar

• ONCHIT. 2018. Percent of Hospitals, By Type, that Possess Certified Health IT. https://dashboard.healthit.gov/quickstats/pages/certified-electronic-health-record-technology-in-hospitals.php. Accessed 03 July 2020.

• Oxford, Dictionary. 2019a. Clinic. English Oxford Living Dictionaries. https://en.oxforddictionaries.com/definition/clinic. Accessed 10 July 2020.

• Oxford, Dictionary. 2019b. Hospital. English Oxford Living Dictionaries. https://en.oxforddictionaries.com/definition/hospital. Accessed 10 July 2020.

• Ozdemir, Zafer, Jack Barron, and Subhajyoti Bandyopadhyay. 2011. An analysis of the adoption of digital health records under switching costs. Information Systems Research 22 (3): 491503.

  Google Scholar

• Parker, Geoffrey G., Marshall Van Alstyne, Sangeet Paul Choudary, and James Foster. 2016. Platform revolution: How networked markets are transforming the economy and how to make them work for you. New York: WW Norton.

  Google Scholar

• Paul, Steven M., Daniel S. Mytelka, Christopher T. Dunwiddie, Charles C. Persinger, Bernard H. Munos, Stacy R. Lindborg, and Aaron L. Schacht. 2010. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nature Reviews Drug Discovery 9 (3): 203214.

  Google Scholar

• Perotti, Victor, and Yang Yu. 2015. Startup Tribes: Social Network Ties that Support Success in New Firms. In Proceedings of 21st Americas Conference on Information Systems (AMCIS 2015), Puerto Rico.

• Plante, Timothy B., Bruno Urrea, Zane T. MacFarlane, Roger S. Blumenthal, Edgar R. Miller, Lawrence J. Appel, and Seth S. Martin. 2016. Validation of the instant blood pressure smartphone app. JAMA Internal Medicine 176 (5): 700702.

  Google Scholar

• Puschmann, T. 2017. Fintech. Business Information Systems Engineering (BISE) 59 (1): 6976.

  Google Scholar

• Reis, Joo, Marlene Amorim, Nuno Melo, and Patrcia Matos. 2018. Digital Transformation: A Literature Review and Guidelines for Future Research. In Trends and Advances in Information Systems and Technologies, eds. lvaro Rocha, Hojjat Adeli, Lus Paulo Reis, and Sandra Costanzo, 411421. Cham: Springer International Publishing.

• Research2Guidance. 2017. mHealth Economics 2017/2018.

• Riasanow, Tobias, Gabriela Galic, and Markus Bhm. 2017. Digital Transformation in the Automotive Industry: Towards a Generic Value Network. In 25th European Conference on Information Systems (ECIS).

• Riasanow, Tobias, Lea Jntgen, Sebastian Hermes, Markus Bhm, and Helmut Krcmar. 2020. Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry. Electronic Markets.

• Robbins, Catherine J., Todd Rudsenske, and James S. Vaughan. 2008. Private Equity Investment In Health Care Services. Health Affairs 27 (5): 13891398.

  Google Scholar

• Rochet, Jean-Charles, and Jean Tirole. 2003. Two-sided Markets. Journal of the European Economic Association 1 (4): 9901029.

  Google Scholar

• Roehrs, Alex, Cristiano A. da Costa, Rodrigo da Rosa Righi, and Kleinner Silva Farias de Oliveira. 2017. Personal Health Records: A Systematic Literature Review. Journal of Medical Internet Research 19 (1): e13.

  Google Scholar

• Roehrs, Alex, Cristiano Andr, Rodrigo da Costa, Valter da Rosa Righi, Ferreira da Silva, Jos Roberto Goldim, and Douglas C. Schmidt. 2019. Analyzing the performance of a blockchain-based personal health record implementation. Journal of Biomedical Informatics 92: 103140.

  Google Scholar

• Romanow, Darryl, Sunyoung Cho, and Detmar Straub. 2012. Editor's comments: riding the wave: past trends and future directions for health IT research. MIS Quarterly iii-x.

• Rowe, Frantz. 2014. What literature review is not: diversity, boundaries and recommendations. European Journal of Information Systems 23 (3): 241255.

  Google Scholar

• Saha, Rajib L., Abraham Seidmann, and Vera Tilson. 2010. A Research Agenda for Emerging Roles of Healthcare GPOs and Their Evolution from Group Purchasing to Information Sharing to Strategic Consulting. In 43rd Hawaii International Conference on System Sciences. IEEE.

• Saldanha, Terence J.V., Sunil Mithas, and Mayuram S. Krishnan. 2017. Leveraging Customer Involvement for Fueling Innovation: The Role of Relational and Analytical Information Processing Capabilities. MIS quarterly 41 (1): 367396.

  Google Scholar

• Sarker, Suprateek, Saonee Sarker, A. Sahaym, and Niels Bjorn-Andersen. 2012. Exploring Value Cocreation in Relationships Between an ERP Vendor and Its Partners: A Revelatory Case Study. Mis Quarterly 36 (1): 317338.

  Google Scholar

• Schreieck, Maximilian, Manuel Wiesche, and Helmut Krcmar. 2016. Design and governance of platform ecosystemskey concepts and issues for future research. In Twenty-Fourth European Conference on Information Systems (ECIS). Istanbul, Turkey.

• Schreieck, Maximilian, Eric K. Clemons, Manuel Wiesche, and Helmut Krcmar. 2019. Competing with Giant Platform Operators: An Analysis of Which Traditional Manufacturing Companies are at Risk from Strategic Dependence on Other Companies Platforms in the Emerging Era of the Internet of Things. In Paper presented at the Platform Strategy Research Symposium, Boston, USA.

• Shah, N. 2004. Pharmaceutical supply chains: key issues and strategies for optimisation. Computers & Chemical Engineering 28 (67): 929941.

  Google Scholar

• Shah, R., and A. Chircu. 2018. IoT and AI in Healthcare: A Systematic Literature Review. Issues in Information Systems 19 (3): 3341.

  Google Scholar

• Sharon, Tamar. 2016. The Googlization of health research: from disruptive innovation to disruptive ethics. Personalized Medicine 13 (6): 563574.

  Google Scholar

• Singer, Natasha 2017. How Big Tech Is Going After Your Health Care. https://www.nytimes.com/2017/12/26/technology/big-tech-health-care.html. Accessed 22 June 2020.

• Sinnenberg, Lauren, Alison M. Buttenheim, Kevin Padrez, Christina Mancheno, Lyle Ungar, and Raina M. Merchant. 2017. Twitter as a tool for health research: a systematic review. American journal of public health 107 (1): e1e8.

  Google Scholar

• Smith, C. A., and P. J. Wicks. 2008. PatientsLikeMe: Consumer health vocabulary as a folksonomy. In American Medical Informatics Association.

• Spil, Ton, and Richard Klein. 2014. Personal health records success: why Google Health failed and what does that mean for Microsoft HealthVault? In 47th Hawaii International Conference on System Sciences. IEEE.

• OECD.Stat. 2020. Health expenditure and financing. https://stats.oecd.org/Index.aspx?ThemeTreeId=9. Accessed 01 July 2020.

• Stevenson, David G., and David C. Grabowski. 2008. Private Equity Investment And Nursing Home Care: Is It A Big Deal? Health Affairs 27 (5): 13991408.

  Google Scholar

• Sunyaev, Ali, Tobias Dehling, Patrick L. Taylor, and Kenneth D. Mandl. 2015. Availability and quality of mobile health app privacy policies. Journal of the American Medical Informatics Association 22 (e1): e28e33.

  Google Scholar

• Terlutter, R., S. Bidmon, and J. Rttl. 2014. Who uses physician-rating websites? Differences in sociodemographic variables, psychographic variables, and health status of users and nonusers of physician-rating websites. Journal of Medical Internet Research 16 (3): e97.

  Google Scholar

• Tiwana, Amrit. 2015. Evolutionary competition in platform ecosystems. Information Systems Research 26 (2): 266281.

  Google Scholar

• Tiwana, Amrit, Benn Konsynski, and Ashley A. Bush. 2010. Research commentaryPlatform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Information Systems Research 21 (4): 675687.

  Google Scholar

• United Nations. About us. https://outreach.un.org/ngorelations/content/about-us-0. Accessed 26 June 2020.

• Velu, Chander, and Philip Stiles. 2013. Managing decision-making and cannibalization for parallel business models. Long Range Planning 46 (6): 443458.

  Google Scholar

• Venkatesh, Viswanath, Xiaojun Zhang, and Tracy A. Sykes. 2011. Doctors do too little technology: A longitudinal field study of an electronic healthcare system implementation. Information Systems Research 22 (3): 523546.

  Google Scholar

• Vial, Gregory. 2019. Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems 28 (2): 118144.

  Google Scholar

• Wachter, Robert M. 2015. The digital doctor: hope, hype, and harm at the dawn of medicine's computer age. New York: McGraw-Hill Education.

  Google Scholar

• Walter, Zhiping, and Melissa Succi Lopez. 2008. Physician acceptance of information technologies: Role of perceived threat to professional autonomy. Decision Support Systems 46 (1): 206215.

  Google Scholar

• Webster, Jane, and Richard T. Watson. 2002. Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly 26 (2): xiiixxiii.

  Google Scholar

• WHO. 2019. Medical deviceRegulations. https://www.who.int/medical_devices/safety/en/. Accessed 18 May 2019.

• Wirtz, Jochen, Kevin Kam Fung So, Makarand Mody, Stephanie Liu, and Helen Chun. 2019. Platforms in the Peer-to-Peer Sharing Economy. Journal of Service Management 30 (4): 452483.

  Google Scholar

• Yan, Lu, and Yong Tan. 2014. Feeling blue? Go online: An empirical study of social support among patients. Information Systems Research 25 (4): 690709.

  Google Scholar

• Zhang, Le, H. Hangjun Tong, Onan Demirel, Vincent G. Duffy, Yuehwern Yih, and Balmatee Bidassie. 2015. A practical model of value co-creation in healthcare service. Procedia Manufacturing 3: 200207.

  Google Scholar