A cross-cultural comparison of electronic government adoption in spain and the USA

International Journal of Electronic Government Research

Volumn 10, Issue 2, 2014, Pages 43-59

  Rufin, Ramon ^a   Belanger, France ^b   Molina, Cayetano Medina ^c   Carter, Lemuria ^d   Figueroa, Juan Carlos Sanchez ^e  

^a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^b PAMPLIN COLLEGE OF BUSINESS   (United States)

^c Centro Andaluz de Estudios Empresariales   (Spain)

^d NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^e UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Cross Cultural Studies; E Government; Public Marketing; Technology Adoption

Indexed keywords

ELECTRONIC ASSESSMENT; SERVICE INDUSTRY;

CROSS-CULTURAL COMPARISONS; CROSS-CULTURAL STUDY; E-GOVERNMENT ADOPTIONS; E-GOVERNMENT SERVICES; ELECTRONIC GOVERNMENT; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; TECHNOLOGY ADOPTION;

E-GOVERNMENT;

EID: 84919391900     PISSN: 15483886     EISSN: 15483894     Source Type: Journal    
DOI: 10.4018/ijegr.2014040104     Document Type: Article

References (49)

1. Aykut, A. (2009). Cross-cultural analysis of European e-government adoption. World Applied Sciences Journal, 7(9), 1124-1130.
2. Barclay, D., Higgins, C., &Thompson, R. (1995). The partial least squares (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies Special Issue on Research Methodology, 2(2), 285-309.
3. Belanche, D., Casal, L. V., &Flavian, C. (2010). Providing online public services successfully: The role of confirmation of citizens expectations. International Review Public Nonprofit Marketing, 7(2), 167-184. doi:10.1007/s12208-010-0058-1
4. Blanger, F., &Carter, L. (2008). Trust and risk in e-government adoption. The Journal of Strategic Information Systems, 17(2), 165-176. doi:10.1016/j. jsis.2007.12.002
5. Blanger, F., &Carter, L. (2012). Digitalizing government interactions with constituents: An historical review of e-government research in information systems. Journal of the Association for Information Systems, 13(5), Article 1. Retrieved from http://aisel. aisnet.org/jais/vol13/iss5/1
6. Bergkvist, L., &Rossiter, J. R. (2007). The predictive validity of multiple-item versus single-item measures of the same constructs. JMR, Journal of Marketing Research, 44(2), 175-184. doi:10.1509/jmkr.44.2.175
7. Carter, L., &Blanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. doi:10.1111/j.1365-2575.2005.00183.x
8. Carter, L., &Weerakkody, V. (2008). e-Government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473-482. doi:10.1007/s10796-008-9103-6
9. Chin, W. W. (1998). The partial least squares approach to structural equation modelling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Mahwah, NJ: Lawrence Erlbaum.
10. Chin, W. W. (2000). Frequently asked questions-Partial least squares and PLSGraph. Retrieved from http://disc-nt. cba.uh.edu/chin/plsfaq/plsfaq.htm
11. Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposito et al. (Eds.), Handbook of partial least squares (pp. 655-690). Berlin, Germany: Springer Handbooks of Computational Statistics. doi:10.1007/978-3-540-32827-8-29
12. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
13. Das, J., DiRienzo, C., &Burbridge, J. Jr. (2009). Global e-government and the role of trust: A cross country analysis. International Journal of Electronic Government Research, 5(1), 1-18. doi:10.4018/jegr.2009010101
14. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. doi:10.2307/249008
15. Diamantopoulos, A., Sarstedt, H., Fuchs, C., Wilczynski, P., &Kaiser, S. (2012). Guidelines for choosing between multiple-item and single-item scales for construct measurement: A predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434-449. doi:10.1007/s11747-011-0300-3
16. Erumban, A. A., &de Jong, S. B. (2006). Cross-country differences in ICT adoption: A consequence of culture? Journal of World Business, 41(4), 302-314. doi:10.1016/j.jwb.2006.08.005
17. EU. European Commission. (2010). e-Government statistics. Retrieved April 15, 2011, from http://appsso.eurostat.ec.europa.eu/nui/show. do?dataset=isoc-pibi-igov&lang=en
18. Falk, R. F., &Miller, N. B. (1992). A primer for soft modeling. Akron, OH: University of Akron Press.
19. Fornell, C., &Larcker, D. F. (1981). Evaluating structural models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
20. Gallego-Alvarez, I., Rodriguez-Dominguez, L., &Garcia-Sanchez, I.-M. (2010). Are determining factors of municipal E-government common to a worldwide municipal view? An intra-country comparison. Government Information Quarterly, 27(4), 423-430. doi:10.1016/j.giq.2009.12.011
21. Gonzalez, P., Adenso-Diaz, B., &Gemoets, L. A. (2010). A cross-national comparison e-government success measures: A theory-based empirical research. In AMCIS 2010 Proceedings. Paper 354. Retrieved from http://aisel.aisnet.org/amcis2010/354
22. Green, S. B. (1991). How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 26(3), 499-510. doi:10.1207/s15327906mbr2603-7
23. Hair, J. F., Ringle, C. M., &Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-151. doi:10.2753/MTP1069-6679190202
24. Hair, J. F., Sarstedt, M., Ringle, C. M., &Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. doi:10.1007/s11747-011-0261-6
25. Hernandez, B., Jimnez, J., &Martin, M. J. (2011). Age, gender and income: Do they really moderate online shopping behavior? Online Information Review, 35(1), 113-133. doi:10.1108/14684521111113614
26. Hofstede, G. H. (1991). Cultures and organizations, software of the mind. McGraw Hill.
27. Hofstede, G. H. (2001). Cultures consequences.comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Thousand Oaks, CA: Sage.
28. Kovacic, Z. (2005). The impact of national culture on worldwide e-government readiness. Informing Science, 8, 143-158.
29. Lee, S. G., Trimi, S., &Kim, C. (2013). The impact of cultural differences on technology adoption. Journal of World Business, 48(1), 20-29. doi:10.1016/j. jwb.2012.06.003
30. Lippert, S. K., &Volkmar, J. A. (2007). Cultural effects on technology performance and utilization: A comparison of U.S. and Canadian Users. Journal of Global Information Management, 15(2), 56-90. doi:10.4018/jgim.2007040103
31. Loo, R. (2002). A caveat on using single-item versus multiple-item scales. Journal of Managerial Psychology, 17(1/2), 68-75. doi:10.1108/02683940210415933
32. Mao, E., Srite, M., Thatcher, J. B., &Yaprak, O. (2005). A research model for mobile phone service behaviours: Empirical validation in the U.S. and Turkey. Journal of Global Information Technology Management, 8(4), 7-28.
33. McKnight, H., Choudhury, V., &Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359. doi:10.1287/isre.13.3.334.81
34. Moore, G. C., &Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. doi:10.1287/isre.2.3.192
35. Munoz-Canavate, A., &Hipola, P. (2011). Electronic administration in Spain: From its beginnings to the present. Government Information Quarterly, 28(1), 74-90. doi:10.1016/j.giq.2010.05.008
36. Navarrete, C. (2010). Trust in e-government transactional services: A study of citizens perceptions in Mexico and the U.S. In Proceedings of the 43rd Annual Hawaii International Conference on System Sciences (HICSS-43). Kauai, HI: IEEE Computer Society Conference Publishing Services.
37. OECD. (2009). Government at a glance. Country note 2009: Spain. Retrieved April 16, 2011, from http://www.oecd.org/dataoecd/5/37/44125528.pdf
38. Orgeron, C. P., &Goodman, D. (2011). Evaluating citizen adoption and satisfaction of e-government. International Journal of Electronic Government Research, 7(3), 57-78. doi:10.4018/jegr.2011070104
39. Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 69-103.
40. Prandini, M., &Ramilli, M. (2011). Taking the best of both worlds: A comparison and integration of the U.S. and EU approaches to e-voting systems evaluation. In, Proceedings of the 44th Annual Hawaii International Conference on System Sciences (HICSS-44). Kauai, HI: IEEE Computer Society Conference Publishing Services. doi:10.1109/HICSS.2011.395
41. Reinartz, W., Haenlein, M., &Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332-344. doi:10.1016/j.ijresmar.2009.08.001
42. Rogers, E. M. (2003). Diffusion of innovation. New York, NY: The Free Press.
43. Rufin, R., Medina, C., &Sanchez-Figueroa, J. C. (2011). Moderating factors in adopting local e-government in Spain. Local Government Studies, 38(3), 367-385. doi:10.1080/03003930.2011.636035
44. Smith, A. (2010). Government online. Pew internet. Retrieved May 7, 2012, from http://www.pewinternet.org/Reports/2010/Government-Online/Part-One.aspx
45. Srite, M., &Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. Management Information Systems Quarterly, 30(3), 679-704.
46. UN. (2012). United Nations e-government survey 2012: e-Government for the people. Retrieved on May 12, 2013, from http://unpan1.un.org/intradoc/groups/public/documents/un/unpan048065.pdf
47. Van Slyke, C., Blanger, F., &Comunale, C. L. (2004). Factors influencing the adoption of web-based shopping: The impact of trust. The Data Base for Advances in Information Systems, 35(2), 32-49. doi:10.1145/1007965.1007969
48. Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China. Information &Management, 46(5), 294-301. doi:10.1016/j.im.2009.06.001
49. Zhao, F. (2011). Impact of national culture on e-government development: A global study. Internet Research, 21(3), 362-380. doi:10.1108/10662241111139354