Cluster Computing

, Volume 21, Issue 1, pp 907–922 | Cite as

Exploring the innovation modes and evolution of the cloud-based service using the activity theory on the basis of big data

  • Xing LiEmail author
  • He Jianmin
  • BingJie Hou
  • Peiyang Zhang


With the cooperation between hospitals and advanced technologies such as mobile Internet, big data and cloud computing, emerging technologies and new service models have been applied in precaution, diagnosis, treatment and other medical services. As a result, people’s medical practices have been dramatically changed. On the basis of activity theory and service supply chain, the paper discusses hospital’s innovation in medical, health and care service by using cloud computing. It also explores the model and evolution of hospital’s internal activity and external supply chain.Cases in this paper from the year 2000 till now are our secondary data related to the cloud service innovation in hospitals. The study adopts textual analysis to interpret and analyze the data. Then, in-depth interviews would be taken on the basis of analytical result. Through the above-mentioned process, we find that homogeneities between different cases include treatment service cloud ranking first, community as the main promoter, substantial service innovation being emphasized, care service cloud as future trend, service innovation featured client-service model, eight procedures for service supply chain, improvement of suppliers’ self-design, and pluralism of medical care service etc. Differences of the cases include government policies versus industrial policies, multipoint distribution versus centralized organizational structure, regional institutionalization versus large-scale centralization, Substantive services application versus development of service value, market orientation versus industry orientation, service provider orientation versus service design orientation, physical customer versus invisible customer. In the end, the study offers relevant theories, management implications, and recommendations.


Service innovation Cloud computing Hospital cloud service Activity theory Service supply chain 


  1. 1.
    Robinson, N.: It excellence starts with governance. J. Invest. Compliance 6(3), 45–49 (2005)CrossRefGoogle Scholar
  2. 2.
    Ellen, E.K., Colquitt, J.A., Noe, R.A.: Caregiving decisions, well-being, and performance: the effects of place and provider as a function of dependent type and work-family climates. Acad. Manage. J. 44(1), 29–44 (2001)CrossRefGoogle Scholar
  3. 3.
    Grootegoed, E., Knijn, T., Roit, B.: Relatives as paid care-givers: how family carers experience payments for care. Ageing Soc. 30(3), 467–489 (2010)CrossRefGoogle Scholar
  4. 4.
    Lundsgaard, J.: Choice and long-term care in OECD countries: care outcomes, employment and fiscal sustainability. Eur. Soc. 8(3), 361–383 (2006)CrossRefGoogle Scholar
  5. 5.
    Dembe, A.E., Himmelstein, J.S.: Contract provisions to ensure quality in workers’ compensation managed care arrangements. J. Insur. Regul. 17(3), 289–326 (1999)Google Scholar
  6. 6.
    Parker, R.M., Desborough, J.L., Forrest, L.E.: Stakeholder perceptions of a nurse led walk-in centre. BMC Health Serv. Res. 12, 382 (2012)CrossRefGoogle Scholar
  7. 7.
    Sandhu, R., Sood, S.K.: Scheduling of big data applications on distributed cloud based on QoS parameters. Clust. Comput. 18, 1–12 (2014). doi: 10.1007/s10586-014-0416-6 Google Scholar
  8. 8.
    Han, L., Ong, H.Y.: Parallel data intensive applications using MapReduce: a data mining case study in biomedical sci-ences. Clust. Comput. 18(1), 403–418 (2015). doi: 10.1007/s10586-014-0405-9
  9. 9.
    Sonehara, N.: Cloud computing in Japan: the role of the Japaness Government. Bus. Inf. Syst. Eng. 3(3), 179–181 (2011)CrossRefGoogle Scholar
  10. 10.
    Lina, C.W., Abdulb, S.S., Clinciub, D.C., Scholle, J., Jinf, X., Luf, H., Chenf, H.S., Iqbalb, U., Heineckg, M.J., Lib, Y.C.: Empowering village doctors and enhancing rural healthcare using cloud computing in a rural area of mainland China. Comput. Methods Progr. Biomed. 113(2), 585–592 (2014)CrossRefGoogle Scholar
  11. 11.
    Agarwal, R., Selen, W.: Dynamic capability building in service value networks for achieving service innovation. Decis. Sci. 40(3), 431–475 (2009)CrossRefGoogle Scholar
  12. 12.
    Chen, Y., Li, F., Fan, J.: Mining association rules in big data with NGEP. Clust. Comput. 18, 1–9 (2015). doi: 10.1007/s10586-014-0419-3 CrossRefGoogle Scholar
  13. 13.
    Ogawa, R.T., Crain, R., Loomis, M., Ball, T.: CHAT-IT:toward conceptualizing learning in the context of formal organizations. Educ. Res. 37(2), 83–95 (2008)CrossRefGoogle Scholar
  14. 14.
    Minnis, M., Steiner, J.: Interdisciplinary integration in professional education: tools and analysis from cultural historical activity theory. Issue Integr. Stud. 24, 32–88 (2006)Google Scholar
  15. 15.
    Holm, D.B., Eriksson, K., Johanson, J.: Business networks and cooperation in international business relationships. J. Int. Bus. 27(5), 1033–1053 (1996)CrossRefGoogle Scholar
  16. 16.
    Porter, M.E.: Competitive Advantage: Creating and Sustaining Superior Performance. The Free Press, New York (1985)Google Scholar
  17. 17.
    Hitt, M.A., Keats, B.W., DeMarie, S.M.: Navigating in the new competitive landscape: building strategic flexibility and competitive advantage in the 21st century, Acad. Manage. 12(4), 22–42 (1998)Google Scholar
  18. 18.
    Lee, R.P., Ginn, G.O., Naylor, G.: The impact of network and environmental factors on service innovativeness. J. Serv. Mark. 23(6–7), 397–405 (2009)CrossRefGoogle Scholar
  19. 19.
    Thomas, P., Oni, L., Alli, M., St Hilaire, J., Leavey, C., Banarsee, R.: Antenatal screening for haemoglobinopathies in primary care: a whole system participatory action research project. Br. J. Gen. Pract. 55(515), 424–428 (2005)Google Scholar
  20. 20.
    Wernz, C., Wernz, P.T., Phusavat, K.: Service convergence and service integration in medical tourism. Ind. Manage. 114(7), 1094–1106 (2014)Google Scholar
  21. 21.
    Barlow, J., Bayer, S., Curry, R.: Implementing complex innovations in fluid multi-stakeholder environments: experiences of ’telecare’. Technovation 26(3), 396–406 (2006)CrossRefGoogle Scholar
  22. 22.
    Chen, S.H., Wen, P.C., Yang, C.K.: Business concepts of systemic service innovations in e-Healthcare. Technovation 34(9), 513–524 (2014)CrossRefGoogle Scholar
  23. 23.
    Frans, P.: theory of organizing informed by activity theory: the locus of paradox, sources of change, and challenge to management. J. Organ. Change Manage. 19(4), 471–490 (2006)CrossRefGoogle Scholar
  24. 24.
    Harrison, M.R., Mcmillan, C.F., Dickinson, T.: Service innovation: a comparison of two approaches for physical screening of psychiatric inpatients. Int. J. Psychiatry Clin. Pract. 16(2), 157–160 (2012)CrossRefGoogle Scholar
  25. 25.
    Lin, S.H., Liu, J.H.: A business model analysis of telecardiology service. Telemed. J. E-Health 16(10), 1067–1073 (2010)CrossRefGoogle Scholar
  26. 26.
    Luo, C.M., Chang, H.F., Su, C.H.: Balanced scorecard’ as an operation-level strategic planning tool for service innovation. Serv. Ind. J. 32(12), 1937–1956 (2012)CrossRefGoogle Scholar
  27. 27.
    Yang, H.L., Hsiao, S.L.: Mechanisms of developing innovative IT-enabled services: a case study of Taiwanese Healthcare Service. Technovation 29(5), 327–337 (2009)CrossRefGoogle Scholar
  28. 28.
    Zippel-Schultz, B., Schultz, C.: Mediated and moderated effects of business and project planning on innovation projects in hospitals. Creat. Innov. Manage. 20(4), 296–310 (2011)CrossRefGoogle Scholar
  29. 29.
    Noh, G., Chun, J.Y., Jeong, I.R.: Sharing privacy protected and statistically sound clinical research data using outsourced data storage. J. Appl. Math. 2014(381361), 1–7 (2014)Google Scholar
  30. 30.
    Rosenthal, A., Mork, P., Li, M.H., Stanford, J., Koester, D., Reynolds, P.: Cloud computing: a new business paradigm for biomedical information sharing. J. Biomed. Inform. 43(2), 242–353 (2010)CrossRefGoogle Scholar
  31. 31.
    Walrand, J., Parekh, A.K.: Congestion control, routing and scheduling in communication networks: a tutorial. IEEE Trans. Commun. E96–B(11), 540–545 (2013)Google Scholar
  32. 32.
    Al-Zaiti, S.S., Shusterman, V., Carey, M.G.: Novel technical solutions for wireless ECG transmission and analysis in the age of the internet cloud. J. Electrocardiol. 46(6), 540–545 (2013)Google Scholar
  33. 33.
    Fernández-Cardeñosa, G., Torre-Díez, I.I., López-Coronado, M., Rodrigues, P.C.: Analysis of cloud-based solutions on EHRs systems in different scenarios. J. Med. Syst. 36(6), 3777–3782 (2012)CrossRefGoogle Scholar
  34. 34.
    Hsieh, J.C., Hsu, M.W.: A cloud computing based 12-Lead ECG telemedicine service. BMC Med. Inform. Decis. Mak. 12, 77 (2012)CrossRefGoogle Scholar
  35. 35.
    Karthikeyan, N., Sukanesh, R.: Cloud based emergency health care information service in India. J. Med. Syst. 36(6), 4031–4036 (2012)CrossRefGoogle Scholar
  36. 36.
    Thomas, B.G., Bollapragada, S., Akbay, K., Toledano, D., Atlic, P., Dulgeroglu, O., Yang, D.: Automated bed assignments in a complex and dynamic hospital environment. Interfaces 43(5), 435–448 (2013)CrossRefGoogle Scholar
  37. 37.
    Yao, Q., Han, X., Ma, X.K., Xue, Y.F., Chen, Y.J., Li, J.S.: Cloud-based hospital information system as a service for Grassroots Healthcare Institutions. J. Med. Syst. 38(4), 1–7 (2014)Google Scholar
  38. 38.
    Huang, H.K., Deshpande, R., Documet, J., Le, A.H., Lee, J., Ma, K., Liu, B.J.: Medical imaging informatics simulators: a tutorial. Int. J. Comput. Assist. Radiol. Surg. 9(3), 433–447 (2013)CrossRefGoogle Scholar
  39. 39.
    Karantasisa, K.I., Polychronopoulosa, E.D., Panourgiasb, K.T., Ekaterinarisb, J.A.: Advanced computing solutions for health care and medicine accelerating the simulation of brain tumor proliferation with many-core GPUs. J. Comput. Sci. 3(5), 306–313 (2011)CrossRefGoogle Scholar
  40. 40.
    Shen, C.P., Jigjidsuren, C., Dorjgochoo, S., Chen, C.H., Chen, W.H., Hsu, C.K., Wu, J.M., Hsueh, C.W., Lai, M.S., Tan, C.T., Altangerel, E., Lai, F.: A data-mining framework for transnational healthcare system. J. Med. Syst. 36(4), 2565–2575 (2011)CrossRefGoogle Scholar
  41. 41.
    Poulymenopoulou, M., Malamateniou, F., Vassilacopoulos, G.: Emergency healthcare process automation using mobile computing and cloud services. J. Med. Syst. 36(5), 3233–3241 (2011)CrossRefGoogle Scholar
  42. 42.
    Torre-Díez, S.D., González, S., López-Coronado, M.: EHR systems in the Spanish Public Health National System: the lack of interoperability between primary and specialty care. J. Med. Syst. 37(1), 1–7 (2013)Google Scholar
  43. 43.
    Carey, K., Burgess, J.F., Young, G.J.: Hospital competition and financial performance: the effects of ambulatory surgery centers. Health Econ. 20(5), 571–581 (2011)CrossRefGoogle Scholar
  44. 44.
    Hales, M.: Designing and rolling-out a global style in process innovation. Technol. Anal. Strateg. Manage. 10(4), 451–465 (1998)CrossRefGoogle Scholar
  45. 45.
    Hong, J., Engestrom, Y.: Changing principles of communication between Chinese managers and workers: confucian authority chains and Guanxi as social networking. Manage. Commun. Q 17(4), 552–585 (2004)CrossRefGoogle Scholar
  46. 46.
    Rose, A.C., Baldwin, J.S., Ridgway, K., Allen, P.M., Varga, E.: Knowledge transformation, learning and changes giving competitive advantage in aerospace supply chains. Emergence 11(215), 15–29 (2009)Google Scholar
  47. 47.
    Cui, L., Hertz, S.: Networks and capabilities as characteristics of logistics firms. Ind. Mark. Manage. 40(6), 1004–1011 (2011)CrossRefGoogle Scholar
  48. 48.
    Sultan, N.: Cloud computing for education: a new dawn? Int. J. Inf. Manage. 30, 109–116 (2010)CrossRefGoogle Scholar
  49. 49.
    Yin, R.K.: Case Study Research: Design and Methods, 3rd edn. Sage Publications, California (2003)Google Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Xing Li
    • 1
    Email author
  • He Jianmin
    • 1
  • BingJie Hou
    • 1
  • Peiyang Zhang
    • 1
  1. 1.College of Economics and ManagementLongDong UniversityQingYang CityChina

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