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Understanding the Behavioral Intention to Use SaaS ERP Sub-modules Considering Perceived Enjoyment, Perceived Anxiety and Perceived System Performance

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Information Science and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 621))

Abstract

The use of cloud solution to support Enterprise Resource Planning (ERP) system has become the priority of many organizations to stay competitive in the current global world. This research will be focusing on the behavioral intention among the employees to use Software as a Service (SaaS) ERP sub-modules in a global construction tool provider considering perceived enjoyment, anxiety and system performance. The objective of this research is to analyze and investigate the employees’ behavioral intention to use SaaS ERP sub-modules in the construction tool provider companies considering these unique variables and predictors. The findings of this research can assist and support both organizations and researchers to build a fundamental level on understanding how these variables can predict the user behavioral intention to use SaaS ERP sub-modules in a global construction tool provider company which significantly beneficial. 250 users ranging from executive and higher management level globally were targeted in 25 countries. A statistical tool will be used to analyze respondents’ data and structural equation modelling will be used to analyses the responses and the relation of each hypothesis. The hypothesis will be tested based on the data consolidated.

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References

  1. Bouras N, Holt G (2007) Psychiatric and behavioural disorders in intellectual and developmental disabilities. Cambridge University Press, Cambridge, UK

    Google Scholar 

  2. Bruner II G, Kumar A (2005) Applying T.A.M. to consumer usage of handheld Internet devices. J Bus Res 58(5):553–558

    Google Scholar 

  3. Buyya R, Yeo CS et al (2008) Market-oriented cloud computing: vision, hype, and reality for delivering IT services as computing utilities. In: 10th IEEE conference on high performance computing and communications. IEEE

    Google Scholar 

  4. Cyr D, Hassanein K, Head M, Ivanov A (2007) The role of social presence in establishing loyalty in e-service environments. Interact Comput 19(1):43–56

    Article  Google Scholar 

  5. Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Sloan School of Management, Massachusetts Institute of Technology

    Google Scholar 

  6. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340. https://doi.org/10.2307/249008

    Article  Google Scholar 

  7. Davis FD, Bagozzi RP, Warshaw PR (1998) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35(8):982–1003

    Google Scholar 

  8. Davison AC, Hinkley DV (1997) Bootstrap methods and their application. Cambridge University Press, Cambridge, UK

    Book  Google Scholar 

  9. Efron B, Tibshirani R (1986) Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statist Sci 1(1):54–75. https://doi.org/10.1214/ss/1177013815, https://projecteuclid.org/euclid.ss/1177013815

  10. Fishbein M, Ajzen I (1975) Belief, attitude, intention, and behavior: an introduction to theory and research. Addison-Wesley, Reading, MA

    Google Scholar 

  11. Ganzel R (1998) Feeling squeezed by technology? Training 35(4):62–70

    Google Scholar 

  12. Hair JF, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis. 7th edn. Prentice Hall, Upper Saddle River, New Jersey

    Google Scholar 

  13. Harden G (2010) Satisfaction with social networking sites: effect of playfulness and change in use

    Google Scholar 

  14. Lee MKO, Cheung CMK, Chen Z (2005) Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation. Inf Manage 42(8): 1095–1104

    Google Scholar 

  15. Liu L, Ma Q (2006) Perceived system performance. ACM SIGMIS Database 37(2–3):51

    Google Scholar 

  16. Luis MV, Luis R-M et al (2008) A breaks in the clouds: towards a cloud definition. SIGCOMM Comput Commun Rev 39:50–55

    Article  Google Scholar 

  17. Martins LL, Kellermanns FW (2004) A model of business school students’ acceptance of a web-based course management system. Acad Manag Learn Educ 3(1):7–26. https://doi.org/10.5465/amle.2004.12436815

  18. Orleans M, Laney MC (2000) Children’s computer use in the home—isolation or sociation?, pp 56–72

    Google Scholar 

  19. Ringle CM, Wende S, Becker JM (2015) SmartPLS 3, SmartPLS GmbH, Boenningstedt

    Google Scholar 

  20. Sun H, Zhang P (2006) The role of moderating factors in user technology acceptance. Int J Hum-Comput Stud 64:53–78. https://doi.org/10.1016/j.ijhcs.2005.04.013

  21. Venkatesh V, Davis F (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46:186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

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Correspondence to Mun-Keong Yap .

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Yap, MK., Lee, A.S.H. (2020). Understanding the Behavioral Intention to Use SaaS ERP Sub-modules Considering Perceived Enjoyment, Perceived Anxiety and Perceived System Performance. In: Kim, K., Kim, HY. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 621. Springer, Singapore. https://doi.org/10.1007/978-981-15-1465-4_13

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  • DOI: https://doi.org/10.1007/978-981-15-1465-4_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1464-7

  • Online ISBN: 978-981-15-1465-4

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