M-health infusion by healthcare practitioners in the national health services (NHS)

Health Policy and Technology

Volumn 2, Issue 1, 2013, Pages 26-35

  O'Connor, Yvonne ^a   O'Reilly, Phillip ^a   O'Donoghue, John ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; HEALTH CARE DELIVERY; HEALTH CARE INDUSTRY; HEALTH CARE QUALITY; HEALTH PRACTITIONER; HUMAN; INFORMATION TECHNOLOGY; KNOWLEDGE; M HEALTH TECHNOLOGY; METHODOLOGY; NATIONAL HEALTH SERVICE; NONBIOLOGICAL MODEL; PRIORITY JOURNAL; SELF CONCEPT; TRUST;

EID: 84873082082     PISSN: 22118837     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.hlpt.2012.12.002     Document Type: Article

References (60)

1. Agarwal R., Venkatesh V. Assessing a firm's web presence: a heuristic evaluation procedure for the measurement of usability. Information Systems Research 2002, 13(2):168-186.
2. Benbasat I., Goldstein D.K., Mead M. The case research strategy in studies of information systems. MIS Quarterly 1987, 11(3):369-386.
3. Burke D., Menachemi N. Opening the black box: measuring hospital information technology capability. Health Care Management Review 2004, 29(3):207-217.
4. Burley L Scheepers H, Fisher J. Diffusion of mobile technology in healthcare. In: Proceedings of the Euro mGOV 2005 first european mobile government conference. Brighton, UK; 10-12 July, 2005. p. 67-76.
5. Cavaye A. Case study research: a multi-faceted research approach for IS. Information Systems Journal 1993, 6(3):227-242.
6. Charmaz K. Grounded theory: objectivist and constructivist methods. Handbook of qualitative research 2000, Sage Publications, Thousand Oaks, CA. N.K. Denzin, Y.S. Lincoln (Eds.).
7. Compeau D.R., Higgins C.A. Computer self-efficacy: development of a measure and initial test. MIS Quarterly 1995, 19(2):189-211.
8. Cooper R.B., Zmud R.W. Information technology implementation research: a technology diffusion approach. Management Science 1990, 36(2):123-139.
9. Darke P., Shanks G., Broadbent M. Successfully completing case study research: combining rigor, relevance and pragmatism. Information Systems Journal 1998, 8(4):273-289.
10. Fadel KJ. Infusion of information systems: the role of adaptation and individual cognitions. PhD dissertation. The University of Arizona Graduate College; 2007.
11. Frolick M.N., Chen L.D. Assessing m-commerce opportunities. Information Systems Management 2004, 21(2):53-61.
12. Galliers R.D. Choosing information systems research approaches. In information systems research: issues. Methods and practical guidelines 1992, 144-162. Alfred Waller Ltd., Henley-on-Thames. R.D. Galliers (Ed.).
13. Glaser B.G., Strauss A.L. The discovery of grounded theory: strategies for qualitative research 1967, Aldine Publishing Company, Chicago.
14. Goodhue D.L., Thompson R.L. Task-technology fit and individual performance. MIS Quarterly 1995, 19(2):213-236.
15. Green A., Ross D., Mirzoev T. Primary health care and england: the coming of age of Alma Ata?. Health Policy 2007, 80(1):11-31.
16. Hoehle H, Scornavacca E. Unveiling experts perceptions towards the characteristics and value propositions of mobile information systems. International conference on mobile business. Barcelona; 2008.
17. Hsieh C.-T. Mobile commerce: assessing new business opportunities. Communications of the International Information Management Association 2007, 7:87.
18. Hung M.-C., Hwang H.-G., Hsieh T.-C. An exploratory study on the continuance of mobile commerce: an extended expectation-confirmation model of information system use. International Journal of Mobile Communications 2007, 5(4):409-422.
19. Jasperson J.S., Carter P.E., Zmud R.W. A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly 2005, 29(3):525-557.
20. Kim B., Oh J. The difference of determinants of acceptance and continuance of mobile data services: a value perspective. Expert Systems with Applications 2011, 38(3):1798-1804.
21. Kishore A., McLean E.R. Reconceptualizing innovation compatibility as organisational alignment in secondary it adoption contexts: an investigation of software reuse infusion. IEEE Transactions on Engineering Management 2007, 54(4):756.
22. Liden R., Wayne S., Bradway L.K. Task interdependence as a moderator of the relation between group control and performance. Human Relations 1997, 50(2):169-181.
23. Limayem M., Hirt S.G., Cheung C.M.K. How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly 2007, 31(4):705-737.
24. López-Nicolás C., Molina-Castillo F.J., Bouwman H. An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information and Management 2008, 45(6):359-364.
25. Luo X., Li H., Zhang J., Shim J.P. Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decision Support Systems 2010, 49(2):222-234.
26. Marshall C., Rossman G.B. Designing qualitative research 1989, California: Sage Publications.
27. McKnight D.H., Choudhury V., Kacmar C. Developing and validating trust measures for e-commerce: an integrative typology. Information Systems Research 2002, 13(3):334-359.
28. McKnight D.H., Carter M., Thatcher J.B., Clay P. Trust in a specific technology: an investigation of its components and measures. ACM transactions on Management Information Systems 2011, 2(2):1-25.
29. Ministry of health and social affairs national ehealth-the strategy for accessible and secure information in health and social care. Available online from: ; 2010. http://www.sweden.gov.se/content/1/c6/16/79/85/8d4e6161.pdf.
30. Mohr D., Lukas V., Meterko M. Predicting healthcare employees'participation in an office redesign programme: attitudes, norms and behavioral control. Implementation Science. 3 2008, 1-9.
31. Ney M., Schätz B., Höck J., Salzmann C. Introducing mobility: the mpolice project IT innovation for adaptability and competitiveness. 141 2004, 383-403. Springer, Boston. B. Fitzgerald, E. Wynn (Eds.).
32. Ng EH, Kim HW. Investigating information systems infusion and the moderating role of habit: a user empowerment perspective. In: Proceedings of international conference of information systems, ICIS; 2009. p. 137.
33. Nonaka I., Toyama R., Konno N. SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Planning 2000, 33:5-34.
34. O'Connor Y, O'Donoghue J, O'Reilly P. Understanding mobile technology post-adoption behaviour: impact upon knowledge creation and individual performance. In: Tenth international conference on mobile business (ICMB); 2011.
35. O'Connor Y, O'Raghailligh PJ, O'Donoghue J. Individual Infusion of m-health technologies: determinants and outcomes. In: Proceedings of ECIS; 2012. p. 164.
36. Peijian S, Lihua H. Innovative use of information technology: a role identity perspective. In: Proceedings of the first china summer workshop on information management. Shanghai, China; 2007.
37. Ramamurthy K., Sen A., Sinha A.P. Data warehousing infusion and organisational effectiveness. IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans 2008, 8(4):976-994.
38. Saeed K.A., Abdinnour-Helm S. Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information and Management 2008, 45(6):376-386.
39. Schmitz K, Webb K, Teng J. Exploring technology and task adaptation among individual users of mobile technology. In: Proceedings of ICIS; 2010. p. 57.
40. Sousa R, Goodhue D. Understanding exploratory use of ERP systems. In: Proceedings of the ninth Americas conference on information systems. In: Proceedings of AMCIS; 2003. p. 62.
41. Stafford TF, Belton M, Nelson T, Peevyhouse A. Exploring dimensions of mobile information technology dependence. In: Proceedings of ICIS; 2010. p. 179.
42. Strauss A., Corbin J. Basics of qualitative research: grounded theory procedures and techniques 1990, Sage, London.
43. Sundaram S., Schwarz A., Jones E., Chin W.W. Technology use on the front line: how information technology enhances individual performance. Journal of the Academy of Marketing Science 2007, 35(1):101-112.
44. Sutherland J, van den Heuvel W. Towards an intelligent hospital environment: adaptive workflow in the OR of the future. In: Proceedings of the 39th Annual Hawaii International Conference on system sciences, HICSS '06; 2006. p. 100b.
45. Tennant V Mills A, Chin W. Investigating information system infusion at the individual level: re-conceptualisation and operationalization. In: Proceedings of PACIS; 2011. p. 189.
46. Thong J.Y.L., Hong S.-J., Tam K.Y. The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies 2006, 64(9):799-810.
47. Trice AW, Treacy ME. Utilization as a dependent variable in MIS research. In: Proceedings of the seventh international conference on information systems. San Diego, CA; 1986. p. 227-39.
48. Tschopp M, Lovis C, Geissbuhler A. Understanding usage patterns of handheld computers in clinical practice. In: Proceedings of the American medical informatics association symposium; 2002. p. 806-9.
49. Urquhart C. An encounter with grounded theory: tackling the practical and philosophical issues, in qualitative research. IS issues and trends 2001, 104-140. Idea Group Publishing, Hershey. E. Trauth (Ed.).
50. Wu J.-H., Wang S.-C. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information and Management 2005, 42(5):719-729.
51. Wu I.-L., Li J.-Y., Fu C.-Y. The adoption of mobile healthcare by hospital's practitioners: an integrative perspective. Decision Support Systems. 51 2011, 587-596.
52. Wu X, Subramaniam C. Understanding RFID adoption in supply chain: an empirical study. In: Proceedings of the 42nd Hawaii international conference on systems science; 5-9 January, 2009.
53. Yap C.S., Hii JWH Factors affecting the adoption of mobile commerce in Malaysia. ICFAI Journal of Information Technology 2009, 5(3):24-37.
54. Yin R.K. Case study research, design and methods 1994, Sage Publications, Newbury Park.
55. Zhang N, Guo X, Wang F, Chen G, Wei Q. Task-technology fit in mobile work: exploring the links between task attributes and technology characteristics. In: 10th international conference on mobile business (ICMB); 2011.
56. Zhou S., Zhao M., Xu X., Wang J., Yao Y. Distributed wireless communication system: a new architecture for future public wireless access. IEEE Communications Magazine 2003, 41:108-113.
57. Gebauer J., Shaw M.J., Gribbins M.L. Task-technology fit for mobile information systems. Journal of Information Technology 2010, 25:259-272.
58. Hsieh JP, Zmud RW. Understanding post-adoptive usage behaviors: a two-dimensional view. In: Proceedings of DIGIT; 2006.
59. Saga VL, Zmud RW. The nature and determinants of it acceptance, routinisation and infusion. In diffusion, transfer and implementation of information technology; 1994. p. 67-86.
60. Triandis H.C. Values, attitudes, and interpersonal behavior. Nebraska symposium on motivation, 1979: beliefs, attitudes and values 1980, 195-259. NE: University of Nebraska Press, Lincoln. H.E. Howe (Ed.).