User acceptance of cloud based hospital information system

Abdulkadir ÖZDEMİR, Ahmet Kamil KABAKUŞ

Abstract


Abstract. In this study, it is aimed to determine the factors that affect system use of the IT specialists. Accordingly, it is aimed to analyze,through web-based survey and Technology Acceptance Model, the factors that influence the cloudbasedsystem usage of the 150 IT specialists, who work for state hospitals, The results related to the structural model developed fromTechnology Acceptance Modelhave been analyzed with AMOS - Analyis of Moment Structures programme and the accordance of the statistical results have been analyzed by using Structural Equation Modelling method on model.According to analysis results, the effects of the factors related to the IT specialists’ perceived usefulness and perceived ease of use on the applicability of this technology with their advantages and disadvantages havealso been discussed, thanks to the data gathered from the users. The Structural model has been confirmed with the statistical results and confirmed hypotheses have been evaluated separately. Suggestions have been offered to the researchers about making prevalent of the cloud based Hospital Information System as a software service, required substructure, its components and applicability. Standards and legal status has also been examined.

Keywords. Cloud computing, Technology acceptance model, Cloud basedhospital information system, Structural equation model.

JEL. J24, O15, M12, M51, M55.


Keywords


Cloud computing; Technology acceptance model; Cloud basedhospital information system; Structural equation model

Full Text:


References


Aggelidis, V.P., & Chatzoglou, P.D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115-126. 10.1016/j.ijmedinf.2008.06.006

Agudo-Peregrina, Á.F., Hernández-García, Á., & Pascual-Miguel, F.J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314. 10.1016/j.chb.2013.10.035

Akça, Y., & Özer, G. (2012). Teknoloji kabul modeli’nin kurumsal kaynak planlaması uygulamalarında kullanılması (The Use of Technology Acceptance Model in Enterprise Resource Planning Implementations). Business and Economics Research Journal, 3(2), 79-96.

Ali, M., Khan, S.U., & Vasilakos, A.V. (2015). Security in cloud computing: Opportunities and challenges. Information Sciences, 305, 357-383. doi. 10.1016/j.ins.2015.01.025

Anglim, J. (2007). Structural Equation Modelling. [Retrieved from].

Chen, H.-R., & Tseng, H.-F. (2012). Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), 398-406. 10.1016/j.evalprogplan.2011.11.007

Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63(1), 160-175. 10.1016/j.compedu.2012.12.003

Chow, M., Herold, D. K., Choo, T.-M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use second life for enhancing healthcare education. Computers & Education, 59(4), 1136-1144. 10.1016/j.compedu.2012.05.011

Compeau, D.R., & Higgins, C. A. (1995). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118-143. 10.1287/isre.6.2.118

Çelik, E., & Yılmaz, V. (2013). LİSREL 9.1 ile Yapısal Eşitlik Modellemesi: Temel Kavramlar, Uygulamalar, Programlama. Ankara: Anı Yayıncılık.

Çelik, M. (2009). Neden Sanallaştırma? [Retrieved from].

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. 10.2307/249008

Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132. 10.1111/j.1559-1816.1992.tb00945.x

Erdem, H.K. (2011). Kurumsal kaynak planlama sistemlerinin kullanımında etkili olan faktörlerin genişletilmiş teknoloji kabul modeli ile incelenmesi. [Retrieved from].

Erl, T., Puttini, R., & Mahmood, Z. (2013). Cloud Computing: Concepts, Technology & Architecture: Pearson Education.

George, D. (2011). SPSS for Windows Step by Step: A Simple Study Guide and Reference, 17.0 Update, 10/e: Pearson Education India.

Gupta, P., Seetharaman, A., & Raj, J.R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874. 10.1016/j.ijinfomgt.2013.07.001

Health, M. (2013). General Directorate of Health Research. Health Statistics Yearbook.

Jackson, J.D., Mun, Y.Y., & Park, J.S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(4), 154-161. 10.1016/j.im.2013.02.006

Joo, J., & Sang, Y. (2013). Exploring Koreans’ smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory. Computers in Human Behavior, 29(6), 2512-2518. 10.1016/j.chb.2013.06.002

Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8 User’s Reference Guide; PRELIS 2 User's Reference Guide. Chicago: Scientific Software Intenational.

Kim, B., & Oh, J. (2011). The difference of determinants of acceptance and continuance of mobile data services: A value perspective. Expert Systems with Applications, 38(3), 1798-1804. 10.1016/j.eswa.2010.07.107

Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling: Guilford press.

Knorr, E. (2008). What Cloud Computing Really Means. [Retrieved from].

Kusnetzky, D. (2011). Virtualization: A Manager's Guide: O'Reilly Media, Inc.

Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193-208. 10.1016/j.compedu.2012.10.001

Lumsden, J.R.I., & Anabel, G. (2013). Understanding The Determinants of Cloud Computing Adoption Within The UK.

Meydan, C.H., & Şeşen, H. (2011). Yapısal Eşitlik Modellemesi AMOS uygulamaları. Ankara: Detay Yayıncılık.

Moore, G.C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information System Research, 2(3), 192-222. 10.1287/isre.2.3.192

Moores, T.T. (2012). Towards an integrated model of IT acceptance in healthcare. Decision Support Systems, 53(3), 507-516. 10.1016/j.dss.2012.04.014

Nwankpa, J., & Roumani, Y. (2014). Understanding the link between organizational learning capability and ERP system usage: An empirical examination. Computers in Human Behavior, 33, 224-234. 10.1016/j.chb.2014.01.030

Pai, F.-Y., & Huang, K.-I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650-660. doi. 10.1016/j.techfore.2010.11.007

Ram, J., Corkindale, D., & Wu, M.-L. (2013). Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance? International Journal of Production Economics, 144(1), 157-174. 10.1016/j.ijpe.2013.01.032

Ram, J., Wu, M.-L., & Tagg, R. (2014). Competitive advantage from ERP projects: Examining the role of key implementation drivers. International Journal of Project Management, 32(4), 663-675. 10.1016/j.ijproman.2013.08.004

Rayport, J. F., & Heyward, A. (2009). Envisioning the Cloud: The Next Computing Paradigm. [Retrieved from].

Rodríguez, T. E., & Trujillo, E. C. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88. 10.1016/j.tourman.2014.01.017

Ryan, M. D. (2013). Cloud computing security: The scientific challenge, and a survey of solutions. Journal of Systems and Software, 86(9), 2263-2268. doi. 10.1016/j.jss.2012.12.025

Shahzad, F. (2014). State-of-the-art Survey on Cloud Computing Security Challenges, Approaches and Solutions. Procedia Computer Science, 37, 357-362. doi. 10.1016/j.procs.2014.08.053

Shin, D. (2013). User centric cloud service model in public sectors: Policy implications of cloud services. Government Information Quarterly, 30(2), 194-203. 10.1016/j.giq.2012.06.012

Shin, D. (2015). Beyond user experience of cloud service: Implication for value sensitive approach. Telematics and Informatics, 32(1), 33-44. 10.1016/j.tele.2014.02.002

Stantchev, V., Colomo-Palacios, R., Soto-Acosta, P., & Misra, S. (2014). Learning management systems and cloud file hosting services: A study on students’ acceptance. Computers in Human Behavior, 31, 612-619. 10.1016/j.chb.2013.07.002

Sternad, S., & Bobek, S. (2013). Impacts of TAM-based External Factors on ERP Acceptance. Procedia Technology, 9, 33-42. 10.1016/j.protcy.2013.12.004

Şimşek, Ö.F. (2007). Yapısal Eşitlik Modellemesine Giriş: Temel İlkeler ve LISREL Uygulamaları. Ankara: Ekinoks Yayıncılık.

Tabachnick, B.G., & Fidell, L.S. (2007). Using multivariate statistics: Allyn & Bacon/Pearson Education.

Tamor, M.A., Gearhart, C., & Soto, C. (2013). A statistical approach to estimating acceptance of electric vehicles and electrification of personal transportation. Transportation Research Part C: Emerging Technologies, 26, 125-134. 10.1016/j.trc.2012.07.007

Taylor, S., & Todd, P.A. (1995). Understanding information technology usage: A test of competing models. Decision Sciences, 6(2), 144-176. 10.1287/isre.6.2.144

Tengilimoğlu, D., Işık, O., & Akbolat, M. (2012). Sağlık işletmeleri yönetimi: Nobel Akademik Yayıncılık.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315. 10.1111/j.1540-5915.2008.00192.x

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. 39(2), 273-315. 10.1111/j.1540-5915.2008.00192.x

Ward, R. (2013). The application of technology acceptance and diffusion of innovation models in healthcare informatics. Health Policy and Technology, 2(4), 222-228. 10.1016/j.hlpt.2013.07.002

Yoo, B., Donthu, N., & Lee, S. (2000). An examination of selected marketing mix elements and brand equity. Journal of the Academy of Marketing Science, 28(2), 195-211. 10.1177/0092070300282002




DOI: http://dx.doi.org/10.1453/jsas.v6i1.1830

Refbacks

  • There are currently no refbacks.




....................................................................................................................................................................................................................................................................................................................................... Journal of Social and Administrative Sciences - J. Adm. Soc. Sci. - JSAS - www.kspjournals.org

ISSN: 2149-0406

Editor: editor-jsas@kspjournals.org   Secretarial: secretarial@kspjournals.org   Istanbul - Turkey.

Copyright © KSP Library