The Influence of System Quality on System Usage, User Satisfaction and Net Benefits for Users of the Navis System of Laem Chabang Deep Water Seaport

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Ratchadaporn Sutapod
Arunee Narintarakul Na Ayuthaya
Ampon Shoosnuk
Somchai Numprasertchai

Abstract

In this research, the researchers examine (1) the influence of the factors of system quality, convenience of access, ease of use, reliability, response time, and security on the use of the Navis system. The researchers also study (2) the influence of factors on user satisfaction, system quality, and the use of the Navis system. Finally, furthermore, the researchers investigate (3) the influence of factors on user net benefits, use, and user satisfaction with the Navis system. The researchers utilized a quantitative research method. The research instrument was a questionnaire used to collect data from selected users at Laem Chabang Deep Water Seaport in respect to the Navis system. The research population was comprised of 260 subjects, while the sample population was comprised of 136 subjects. Using techniques of descriptive statistics, the researchers analyzed the data collected in terms of frequency distribution, percentage, mean and standard deviation. Path analysis was also employed by the researchers. Findings are as follows: 1. System quality in the dimensions of convenience of access; ease of use; response time; and security positively influenced the use of the Navis system by users. 2. System quality in the dimensions of response time; security; and use of the Navis system positively influenced the Navis system user satisfaction. 3. The use of the Navis system and user satisfaction positively influenced user net benefits for users of the Navis system. The researchers would like to offer the following recommendations: Laem Chabang Deep Water Seaport should encourage system quality in the dimensions of convenience of access, ease of use, response time, and security. Enhancing the quality of these dimensions would increasingly foster use, user satisfaction and user net benefits for users of the Navis system.

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References

Bailey, J. E. and Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user

satisfaction. Management Science. 29(5): 530-545.

Balaban, I., Mu, E. and Divjak, B. (2013). Development of an electronic portfolio system success model: An

information systems approach. Computers and Education. 60(1): 396-411.

Baraka, H. A., Baraka, H. A. and El-Gamily, I. H. (2013). Assessing call centers’ success: A validation of the DeLone

and Mclean model for information system. Egyptian Informatics Journal. 14(2): 99-108.

Chen, J. V., Chen, Y. and Capistrano, E. P. S. (2013). Process quality and collaboration quality on B2B e-commerce.

Industrial Management and Data Systems. 113(6): 908-926.

DeLone, W. H. and McLean, E. R. (2003). The DeLone and McLean model of information systems success: A

ten-year update. Information System. 19(4): 9-30.

Doll, W. J. and Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly. 12(2):

-273.

Dooley, P. (2015). An empirical development of critical value factors for fystem quality and information quality

in business intelligence system implementations. Unpublished Doctoral Dissertation, Nova Southeastern

University, America.

Elliot, S., Li, G. and Choi, C. (2013). Understanding service quality in a virtual travel community environment.

Journal of Business Research. 66(8): 1153-1160.

Field, A. (2005). Discovering statistics using SPSS (2nd ed.).Thousand Okes CA: Sage.

Freight Links Express (Thailand) Co.,Ltd. (2012). Container yard performance improvement (In Thai). [Online].

Available: http://www.fleth.co.th/index.php/component/content/article/6-article/756-756. Retrieved 21

September, 2012.

Golob, T. F. (2003). Review structural equation modeling for travel behavior research. Transportation Research.

: 1-25.

Hair, J. F., Jr., Black, W. C., Babin, B. J., Anderson, R. E. and Tatham, R. L. (2006). Multivariate data analysis

(6 ed.). Upper Saddle River, New Jersey: Prentice-Hall.

Hair, J. F., Jr., Black, W. C., Babin, B. J., Anderson, R. E. and Tatham, R. L. (2010). Multivariate data analysis

(7 ed.). New Jersey: Pearson: Prentice Hall.

Haitham, H. A. (2014). A free simulation experiment to examine the effects of social commerce website quality and

customer psychological empowerment on customers’satisfaction. Journal of Business Studies Quarterly.

(4): 21-40.

Hou, C.-K. (2012). Examining the effect of user satisfaction on system usage and individual performance with

business intelligence systems: An empirical study of Taiwan's electronics industry. International Journal of

Information Management. 32(6): 560-573.

Ives, B., Olson, M. H. and Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications

of the Association for Computing Machinery: ACM. 26(10): 785-793.

Jalal, D., and Al-Debei, D. J. (2013). Developing and implementing a web portal success model. Jordan Journal

of Business Administration. 9(1): 161-190.

Karim, M. F. M., Ibrahim, M. and Sarkawi, S. (2014). The relations between the DeLone and McLean model with

application usage of EMIS success in school. Australian Journal of Basic and Applied Sciences. 8(5): 181-183.

Kotler, P. (1997). Marketing management analysis, planning, implementation and control. Englewood Cliffs, NJ:

Prentice-Hall.

Lwoga, E. T. (2013). Measuring the success of library 2.0 technologies in the African context: The suitability of

the DeLone and McLean’s model. Campus-Wide Information Systems. 30(4): 288-307.

Matichon Online. (2015). Seaport in AEC (In Thai). [Online]. Available: http://www.prachachat.net/news_detail.

php?newsid=1379670846. Retrieved 28 July, 2015.

Navis Solution. (2015). Navis operating system (In Thai). [Online]. Available: http://translate.googleusercontent.

com/translate_c?depth=1&hl=th&prev=search &rurl=translate.google.co.th&sl=en&u=http://navis.com

solutions&usg=ALkJrhgTt61GNtdkA8KzziVcwr7FlSSupg. Retrieved 28 July, 2015.

Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. New York: McGraw-Hill.

Pai, F.-Y. and 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.

Park, S., Zo, H., Ciganek, A. P. and Lim, G. G. (2011). Examining success factors in the adoption of digital object

identifier systems. Electronic Commerce Research and Applications. 10: 626–636.

Petter, S., DeLone, W. H. and McLean, E. R. (2008). Measuring information systems success: Models, dimensions,

measures, and interrelationships. European Journal of Information Systems. 17(3): 236-263.

Petter, S. and Fruhling, A. (2011). Evaluating the success of an emergency response medical information system.

International Journal of Medical Informatics. 80(7): 480-489.

Samadi, I., Masrek, M. N. M. and Yatin, S. F. B. M. (2014). The effect of individual characteristics and digital library

characteristics on digital library effectiveness: A survey at university of Tehran. World Applied Sciences

Journal. 30: 214-220.

Sprinthall, R. (1997). Basic Statistical analysis. Boston, MA: Allyn and Bacon.

Wang, E. H. H. and Chao-Yu, C. (2011). System quality, user satisfaction, and perceived net benefits of mobile

broadband services. 8th Asia-Pacific Regional ITS Conference. Taipei: International Telecommunications

Society.

Whitman, M. E. and Mattord, H. J. (2012). Principles of information security (4 ed.). Boston, MA: Cengage Learning.