The Impact of Personal Psychology and Behavior Factors on the Innovation Assimilation of Secure System Development

Songming Qiu, Penghua Wang, Peng Yang

School of Management, Dalian University of Technology, Dalian, China.

DOI: 10.4236/ajibm.2015.54020                

Abstract

To find out the psychological root cause of Secure System Development (SSD) innovation digestion behavior, this article establishes the double digestion model of SSD innovation based on psychological factors. The theoretical bases include the acceptance model, motivation theory and theories related to innovation digestion. Then, we use SPSS 19.0 and AMOS 17.0 to verify the model. The results indicate that the perceived ease of use, intrinsic motivation, and perceived usefulness have a positive and degressive influence on SSD innovation digestion intention respectively; SSD innovation digestion intention has a positive effect on SSD digestion behavior; And, absorptive capacity and risk attitude have positive regulating effects on the conversion from SSD innovation digestion intention to SSD innovation digestion behavior.

Keywords

Secure System Development, Key Psychology and Behavior Factors, Path Analysis, Innovation Assimilation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Lipner, S. (2014) The Trustworthy Computing Security Development Lifecycle. Computer Security Applications Conference, 2004. 20th Annual. IEEE, Tucson, December 2004, 2-13.
[2]	Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. http://dx.doi.org/10.2307/249008
[3]	Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Boston.
[4]	Lun, Y.B. and Xun, H.M. (2006) An Empirical Study Review on Technology Acceptance Model. Research and Development Management, 18, 93-99.
[5]	Davenport, T.H. and Grover, V. (2001) General Perspectives on Knowledge Management: Fostering a Research Agenda. Journal of Management Information Systems, 18, 5-23.
[6]	Ryan, R.M. and Deci, E.L. (2000) Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25, 54-67. http://dx.doi.org/10.1006/ceps.1999.1020
[7]	Liu, L.N., Feng, Y.Q., Hu, Q., et al. (2011) From Transactional User to VIP: How Organizational and Cognitive Factors affect ERP Assimilation at Individual Level. European Journal of Information Systems, 20, 186-200. http://dx.doi.org/10.1057/ejis.2010.66
[8]	Guo, Y.Y. (2010) A Research on Continuous Use Influential Factors of Mobile Internet Business. Beijing University of Posts and Telecommunications, Beijing.
[9]	Wesley, M., Cohen, W.M. and Levinthal, D.A. (1990) Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35, 128-152. http://dx.doi.org/10.2307/2393553
[10]	Weber, E.U., Blais, A.R. and Betz, N.E. (2002) A Domain-Specific Risk-Attitude Scale: Measuring Risk Perceptions and Risk Behaviors. Journal of Behavioral Decision Making, 15, 263-290. http://dx.doi.org/10.1002/bdm.414
[11]	Duan, M.S., Zhang, X.L. and Gu, S.H. (2001) Innovation Diffusion Model Based on the Theory of the Micro Decision-Making. System Engineering Theory and Practice, 21, 46-51.
[12]	Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989) User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35, 983-1003. http://dx.doi.org/10.1287/mnsc.35.8.982
[13]	Taylor, S. and Todd, P.A. (1995) Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6, 144-176. http://dx.doi.org/10.1287/isre.6.2.144
[14]	Premkumar, G. and Bhattacherjee, A. (2008) Explaining Information Technology Usage: A Test of Competing Models. Omega, 36, 64-75. http://dx.doi.org/10.1016/j.omega.2005.12.002
[15]	Maslow, A.H. (1943) A Theory of Human Motivation. Psychological Review, 50, 370-396. http://dx.doi.org/10.1037/h0054346
[16]	Wahba, M.A. and Bridwell, L.G. (1976) Maslow Reconsidered: A Review of Research on the Need Hierarchy Theory. Organizational Behavior and Human Performance, 15, 212-240. http://dx.doi.org/10.1016/0030-5073(76)90038-6
[17]	Hou, J.T., Wen, Z.L. and Cheng, Z.J. (2004) Structural Equation Model and Its Application. Education Science Press, Beijing.
[18]	Zeller, R.A. and Carmines, E.G. (1980) Measurement in the Social Sciences: The Link between Theory and Data. Cambridge University Press, New York.
[19]	Wu, M.L. (2009) Structural Equation Model: The Operation and Application of AMOS. Chongqing University Press, Chongqing.
[20]	Ma, X.Y., Lou, Z.S. and Liu, C.Y. (2011) Path Analysis of Influence of Pilot Adaptation and Anxiety Personality on Mental Health. Rehabilitation Medicine in China, 20, 332-334.
[21]	Liu, L.C. and Sun, K. (2012) Empirical Research on User Satisfaction and Continued Use of SaaS Outsourcing Service. Journal of Information Resources Management, 2, 26-32.
[22]	Bi, L.J. (2012) Energy Conservation and Environmental Protection Car Purchase Behavior Study under Subsidy Policy. Southwest Jiaotong University, Chengdu.
[23]	Liu, Y. (2011) The Empirical Study of Influence of Human Capital on Organizational Innovation. University of Electronic Science and Technology, Chengdu.