Keyword

Business environment, Organization factor, RFID, Technology, Efficiencies, Performance

Abstract

This research study aimed to examine the development and testing of consistency for a model designed to evaluate the structure of effectiveness in public transportation schedule management using radio frequency identification (RFID) technology in Thailand. The public transportation system is very important to Thailand’s development, especially with regards to socio-economic aspects. This study used a quantitative research methodology and quantitative analysis to obtain the results. The participants comprised 320 RFID industrial entrepreneurs in Thailand selected by stratified random sampling, and the distributed questionnaires were analyzed using structural equation analysis. The research found that the testing of the structural relationship showed the effectiveness of public transportation by using RFID in Thailand. The consistency of the model was analyzed by chi-square =χ2 /df=1.348 GFI=0.972 AGFI=0.947 CFI=1.00 RMSEA=0.033 to show that the model was consistent with the empirical data. This research study indicated that the business environment is an important factor that influences public transportation management in Thailand by using RFID to manage transportation systems, which would reduce production costs in business, operating hours, transportation time, and also enable observation of real-time operating hours and application of the system to develop production and other operating systems.


Full Text : PDF

References
  1. Ansoff, H., and McDonnell. (1990), Implanting Strategic Management, Prentice Hall (2nd Edition).
  2. Anderson C, Blenkinsopp A. (2006), “Community pharmacy supply of emergency hormonal contraception: a structured literature review of international evidenc”, Hum report, 21(1), pp.272-284.
  3. Babatunde, B.O. & Adebisi, O.A. (2012), “Strategic Environmental Scanning and Organization Performance in a Competitive Business Environment”, Economic Insights – Trends and Challenges, LXIV (1/2012), pp.24-34.
  4. Bangkok environment agency. (2009), Action plan on global warming mitigation of Bangkok 2007-2012, Bangkok: Bangkok head office.
  5. Bass, B. M. (1998), Transformational leadership: Industrial, military, and educational impact, Mahwah, NJ: Erlbaum. 
  6. Berger, M. J., & Forgette-Giroux, R. (2012), “Building professional learning communities. In B. Boufoy-Bastick (Ed.), The international handbook of cultures of professional development for teachers”, Strasbourg: Analytics, pp. 265-284.
  7. Chaveesuk Singha and Wongjaturaphat Sununtha. (2012), “The theory of acceptance of information technology”, KMITL Information Technology Journal (Jan. – Jun. 2012).
  8. Chen, H., & Tseng H. (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), pp.398–406. 
  9. Davis, F.D. (1989), “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”, MIS Quarterly, 13(3), pp.319-339. 
  10. Dess, Gregory G. and Donald W. Beard. (1984), Dimensions of organizational task environments, Administrative Science Quarterly, 29, pp. 52-73.
  11. Duncan, R.B. (1972), “Characteristics of organizational environments and perceived environmental uncertainty”, Administrative Science Quarterly, 17(3), pp.313-327. 
  12. Eruemegbe, O.G. (2015), “Impact of Business Environment on Organization Performance in Nigeria: Study of Union Bank of Nigeria”, European Scientific Journal November 2015 /Special/ edition, ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431. 
  13. Gibson, J.J., Edwards, T.W.D. and Prowse, T.D. (1994), “Evaporation in the north: overview of quantitative studies using stable isotopes, Mackenzie Basin Impact Study (MBIS), Interim Report#2, S.J. Cohen (Editor), 10-14 April 1994, Yellowknife, N.W.T., pp.138-150.  
  14. Hair, Joseph F., Black, William C., Babin, Barry, Anderson, Rolph E., and Tatham, Ronald L. (2006), Multivariate Data Analysis, 6th Ed, New Jersey, Pearson Education.
  15. Hair, J.F.J., Anderson, R.E., Tatham, R.L., Black, W.C. (1998). Multivariate Data Analysis,5th edn, Prentice Hall, Upper Saddle River, New Jersey.
  16. Hevner, A., S. March, J. Park, and S. Ram. (2004), “Design science in information systems research”, MIS Quarterly, 28(1), pp.75–105. 
  17. Hornsby, J.S., Kuratko, D.F.  & Zahra, S.A. (2002), “Middle managers' perception of the internal environment for corporate entrepreneurship: Assessing a measurement scale”, Journal of Business Venturing, 17(3), pp.253-273.
  18. Hu, L.T. and Bentler, P.M. (1999), “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives”, Structural Equation Modeling, 6(1), pp.1-55.
  19. Johnson, G., Scholes, K., and Whittington, R. (2002), Exploring Corporate Strategy, Prentice Hall, London.
  20. Kaasinen, E. (2009), “User Acceptance of Mobile Services”, International Journal of Mobile Human Computer Interaction, 1(1), pp.79-97. 
  21. Kaewniyomsri Wipada. (2013), “Factors that affect the organization of municipalities in Bueng Kan Province”, Veridian E-Journal, Silpakorn University, 6(2), pp.501-512.
  22. Kinyua, B.K. (2015), “Determinants of Outsourcing Services as a Cost Reduction Measure in Devolved Government: A Case Study of Nairobi City County, Kenya”, European Journal of Business and Social Sciences, 4(05), August 2015, pp.12-23.
  23. Law, C., Lee, K., and Siu, K.Y. (2000), “Efficient Memoryless Protocol for Tag Identification”, In Proceedings of the 4th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications, pp.75–84.
  24. L. Löfgren, B. Löfvinga, T. Pettersson, B. Ottosson, C. Rusu, S. Haasl, K. Persson, O. Vermesan, N. Pesonen, P. (2008), Enoksson, in Proceedings of Eurosensors, Dresden, Sept 2008, pp.231-234.
  25. Lin C-Yand Ho Y-H. (2009), An Empirical Study on the Adoption of RFID Technology for Logistics Service Providers in China. International Business Research 2, 1(1).23-36. 
  26. Ilie-Zudor, E., Kemény, Z., Van Blommestein, F., Monostori, L., & Van Der Meulen, A. (2011), “A survey of applications and requirements of unique identification systems and RFID techniques”, Computers in Industry, 62(3), pp.227-252.
  27. Margarietha, J. S. (2007), Entrepreneurial intensity: The influence of antecedents to corporate entrepreneurship in firms operating in South Africa, Philosophiae Doctor of Business management, University of Stellenbosch.
  28. Martins, E.C, & Terblanche, F. (2003), “Building organizational culture that stimulates creativity and innovation”, European Journal of Innovation, 6(1), pp.64-74. 
  29. Miguel, P. L. S., Ledur Brito, L. A. L. (2011), “Supply Chain Management measurement and its influence on Operational Performance”, Journal of Operations and Supply Chain Management, 4(2), pp.56 – 70. 
  30. Miller, D., and P.H. Friesen. (1983), "Strategy-Making and Environment: The Third Link." Strategic Management Journal 4: 221-235.
  31. Moorhead, G. and Griffin, R. W. (1995), Organizational Behaviour, 4th Edition, Boston, Houghton Mifflin Company. 
  32. Nash, T.A. (2010), RFID Technology and Its Impact on the Supply Chain, Eastern Michigan University, Paper 243.
  33. Ngamsukkasemsri Wiroj and Wiangharuthai Suchada. (2011), “The development of effective management for freight trucks with RFID”, September 2011, Institute for the promotion of excellence in technology for RFID in Thailand.  
  34. Nguyen, T., Sherif, J. & Newby, M. (2007), “Strategies for successful CRM implementation”, Information Management & Computer Security, 15(2), pp.102-115. 
  35. Olowokudejo, F., Aduloju, S.A., and Oke, S.A. (2011), “Corporate social responsibility and organizational effectiveness of insurance companies in Nigeria”, The Journal of Risk Finance, 12(3), pp.156-167.
  36. RFID Institute of Thailand. (2011), Development of freight truck fleet management with RFID. September 2011, pp. 1-25.
  37. Rodrigo Rodrigues, Miguel Castro, and Barbara Liskov. (2001), “BASE: Using Abstraction to Improve Fault Tolerance”, In Proceedings of the eighteenth ACM Symposium on Operating Systems Principles, SOSP ’01, pp.15–28. 
  38. Schumacker, R. E., and Lomax, R. G. (2010), A beginner’s guide to structural equation modeling. New York: Routledge.
  39. Segal, E., Shapira, M., Regev, A., Pe'er, D., Botstein, D., Koller, D., & Friedman, N. (2003), Module networks: identifying regulatory modules and their condition-specific Regulators from gene expression data, Nature genetics. 
  40. Singkarin Duangpun Kritchanchai and Somboonwiwat Tuanjai. (2010), Business processes for supply chain and logistics management, Bangkok: Limited partnership sunate film. 
  41. Tabachnick, B.G. and Fidell, L.S. (2007), Using Multivariate Statistics (6th edition), Boston, Allyn and Bacon.
  42. Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003), “User acceptance of information Technology: Toward a unified view”, MIS Quarterly, 27(3), pp.425-478. 
  43. Wiratchai Nonglak. (1999), Lisrel Model: Statistical analytics for research (Edition 3), Bangkok, Chulalongkorn. 
  44. Wheelen, T. L & Hunger, D.J. (2012), Strategic management and business policy: toward global sustainability, 13th Ed.p. cm. Pearson Education, Inc., publishing as Prentice Hall.
  45. Xu, S., Zhu, K. and Gibbs, J. (2004), “Global Technology, Local Adoption: A Cross Country Investigation of Internet Adoption by Companies in the United States and China”, Electronic Markets, 14(1), pp.13-24.
  46. Yu, W. & Ramanathan, R. (2012), “Retail service quality, corporate image and behavioural intentions: the mediating effects of customer satisfaction”, The International Review of Retail, Distribution and Consumer Research, 22(5), pp.485-505.