Advertisement

Developing of Service-Oriented Architecture (SOA) Adoption Framework and the Related Hypotheses

  • Naghmeh Niknejad
  • Ab Razak Che Hussin
  • Iraj Sadegh Amiri
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

In this chapter influential factors that concluded from papers reviewed in Chap. 2 will be investigated as the initial findings of this study. Then the theoretical framework and hypotheses will be proposed in continuation. Afterwards, pilot study will be performed. Final step includes the explanation of validity and reliability of the questionnaire. Therefore, the main effort of this chapter is to test the initial study. Concluded factors from literature review of the study can guide to categorize the fundamental domain of research and will be used as primary definitions for next step of the research. In this chapter, the relationship among significant factors, SOA adoption and the impact of them on the performance of organizations are discovered.

Keywords

Influential factors Theoretical framework Pilot study Questionnaire SOA adoption 

References

  1. 1.
    Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York, NY: The Free PressGoogle Scholar
  2. 2.
    J.H. Lee, H.-J. Shim, K.K. Kim, Critical success factors in SOA implementation: an exploratory study. Inf. Syst. Manag. 27, 123–145 (2010)CrossRefGoogle Scholar
  3. 3.
    S. Aier, T. Bucher, R. Winter, Critical success factors of service orientation in information systems engineering. Bus. Inf. Syst. Eng. 3, 77–88 (2011)CrossRefGoogle Scholar
  4. 4.
    J. Antikainen, S. Pekkola, Factors influencing the alignment of SOA development with business objectives, in 17th European Conference on Information Systems (ECIS), 2009, pp. 2579–2590 (2009)Google Scholar
  5. 5.
    B.H. Reich, I. Benbasat, Factors that influence the social dimension of alignment between business and information technology objectives. MIS Quarterly. 24(1), 81–113 (2000)CrossRefGoogle Scholar
  6. 6.
    Strassmann, Paul A. (1989), What is Alignment? Alignment is The Delivery of the Required Results, The Squandered Computer, Cutter IT Journal, August 1998Google Scholar
  7. 7.
    W. Vegter, Critical success factors for a SOA implementation, in 11th Twente Student Conference on IT, Enschede, June 29th, 2009Google Scholar
  8. 8.
    C. Hu, Computing and Intelligent Systems (Springer, London, 2011), pp. 81–87CrossRefGoogle Scholar
  9. 9.
    A. Seth, A.R. Singla, H. Aggarwal, Contemporary Computing (Springer, Berlin, 2012), pp. 164–175CrossRefGoogle Scholar
  10. 10.
    A.P. Ciganek, M.N. Haines, W.D. Haseman, Service-oriented architecture adoption: key factors and approaches. J. Inf. Technol. Manag. 203, 42–54 (2009)Google Scholar
  11. 11.
    Jeff, Service Oriented Enterprise: Budgeting for SOA, 2007. [Online]. Available: http://schneider.blogspot.com/2007/09/budgeting-for-soa.html. [Accessed: 30-Jan-2010].
  12. 12.
    M. Galinium, N. Shahbaz, Factors affecting success in migration of legacy systems to service-oriented architecture (SOA), Master Thesis, Department of Informatics, Lund University, Sweden, Submitted, 2009Google Scholar
  13. 13.
    E.M. Lennan, Factors affecting adoption of service-oriented architecture (SOA) at an enterprise level, Department of Information Systems, University of Cape Town, 2011Google Scholar
  14. 14.
    T. Erl, Service-Oriented Architecture Concept, Technology and Design (Pearson Inc., Upper Saddle River, 2005)Google Scholar
  15. 15.
    M. Findikoglu, Web Services Adoption Process: A Roadmap to Manage Organizational Change Available at SSRN 1873723, 2011Google Scholar
  16. 16.
    B. Roulstone, J.J. Phillips, ROI for Technology Projects (Routledge, London, 2012)Google Scholar
  17. 17.
    J. DiMare, Service Oriented Architecture: A Practical Guide to Measuring Return on That Investment (IBM Global Business Services, 2006)Google Scholar
  18. 18.
    G.A. Gelade, M. Ivery, The impact of human resource management and work climate on organizational performance. Pers. Psychol. 56, 383–404 (2003)CrossRefGoogle Scholar
  19. 19.
    IBM, Five best practices for deploying a successful service-oriented architecture, IBM Global Services, 2008. [Online]. Available: http://www-935.ibm.com/services/us/its/pdf/wp_five-best-practices-for-deploying-successfulsoa.pdf. [Accessed: 18-Apr-2013]
  20. 20.
    S.R. Tehrani, Factors Influencing the Adoption of Cloud Computing by Small and Medium-Sized Enterprises (SMEs), 2013Google Scholar
  21. 21.
    W. W. Chin, The Partial Least Squares Approach to Structural Equation Modeling, in Modern methods for business research, 295–336 (1998)Google Scholar
  22. 22.
    N. Mohammadhossein, A study on the CRM customer benefits towards customer satisfaction, Faculty of Computing, Universiti Teknologi Malaysia, 2013Google Scholar
  23. 23.
    S. Akter, J. D’Ambra, P. Ray, Service quality of mHealth platforms: development and validation of a hierarchical model using PLS. Electron. Mark. 20, 209–227 (2010)CrossRefGoogle Scholar
  24. 24.
    B.H. Wixom, P.A. Todd, A theorectical integration of user satisfaction and technology acceptance. Inf. Syst. Res. 16, 85–102 (2005)CrossRefGoogle Scholar
  25. 25.
    J. C. Nunnally, I. H. Bernstein. Psychometric theory. Vol. 226. New York: McGraw-Hill, 1967Google Scholar
  26. 26.
    E. Ngai, T. Cheng, S. Ho, Critical success factors of web-based supply-chain management systems: an exploratory study. Prod. Plan. Control 15, 622–630 (2004)CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Naghmeh Niknejad
    • 1
  • Ab Razak Che Hussin
    • 1
  • Iraj Sadegh Amiri
    • 2
  1. 1.University Technology Malaysia (UTM)Johor BahruMalaysia
  2. 2.Computational Optics Research Group, Advanced Institute of Materials Science, Faculty of Applied SciencesTon Duc Thang UniversityHo Chi Minh CityVietnam

Personalised recommendations