Citizens’ Adoption Behavior of Mobile Government (mGov): A Cross-Cultural Study

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557–582.
   Web of Science ®Google Scholar
• Altman, I., & Taylor, D. (1973). Social penetration: The development of interpersonal relationships. New York: Holt.
   Google Scholar
• Anttiroiko, A.-V. (2005). Towards ubiquitous government: The case of Finland. E-Service Journal, 4(1), 65–99. doi:10.2979/esj.2005.4.issue-1
   Google Scholar
• Archer, N. (2007). Mobile eHealth: Making the case. In I. Kushchu (Ed.), Mobile government: An emerging direction in e-government (pp. 155–170). Hershey, PA: IGI Publishing.
   Google Scholar
• Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quarterly, 26(3), 243–268. doi:10.2307/4132332
   Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bangladesh Statistics Bureau. (2011). Mobile phone penetration in Bangladesh: A social aspect. Bangladesh Statistics Bureau, Government of Bangladesh. Retrieved from www.bangladesh.gov.bd.
   Google Scholar
• Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005). Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing, 69(4), 133–152. doi:10.1509/jmkg.2005.69.4.133
   Web of Science ®Google Scholar
• Baškaradaa, S., & Koronios, A. (2014). A critical success factor framework for information quality management. Information Systems Management, 31(4), 276–295. doi:10.1080/10580530.2014.958023
   Web of Science ®Google Scholar
• Bélanger, F., & Carter, L. (2005, August 11–15). Trust and risk in e-government adoption. Proceedings of the 11th Americans Conference on Information Systems, Omaha, NE.
   Google Scholar
• Benjamin, L. P., Jinwei, C., & Andrea, E. (2011). Privacy concerns versus desire for interpersonal awareness in driving the use of self-disclosure technologies: the case of instant messaging in two cultures. Journal of Management Information Systems, 27(4), 163–200.
   Web of Science ®Google Scholar
• Ben-Ziona, R., Pliskina, N., & Fink, L. (2014). Critical success factors for adoption of electronic health record systems: Literature review and prescriptive analysis. Information Systems Management, 31(4), 296–312. doi:10.1080/10580530.2014.958024
   Web of Science ®Google Scholar
• Blackman, M. (2006). Municipalities move to mobile government. Government Procurement, 14, 54–55. Retrieved from www.govpro.com
   Google Scholar
• Bogomolova, S., Romaniuk, J., & Sharp, A. (2009). Quantifying the Extent of Temporal Decay in Service Quality Ratings. International Journal of Market Research, 51(1), 71–91.
   Web of Science ®Google Scholar
• Brengman, M., Geuens, M., Weijters, B., Smith, S. M., & Swinyard, W. R. (2005). Segmenting Internet shoppers based on their web-usage-related lifestyle: A cross-cultural validation. Journal of Business Research, 58(1), 79–88. doi:10.1016/S0148-2963(02)00476-9
   Web of Science ®Google Scholar
• Bresnahan T. F., Brynjolfsson, E., & Hitt, L. (2002). Information technology, workplace organization, and the demand for skilled labor: firm-level evidence. Quarterly Journal of Economics, 117, 339–376.
   Web of Science ®Google Scholar
• Carroll, J. (2005). Risky business: Will citizens accept m-government in the long term? In I. Kushchu & M. H. Kuscu (Eds.), Proceedings of the 1st European Mobile Government Conference (Euro mGov 2005). Brighton, UK: Mobile Government Consortium International Publishers.
   Google Scholar
• Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. doi:10.1111/isj.2005.15.issue-1
   Web of Science ®Google Scholar
• Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for ecommerce: Institutional enablers of the organizational assimilation of Web technologies. MIS Quarterly, 26(2), 65–89. doi:10.2307/4132321
   Web of Science ®Google Scholar
• Chen, Y-C. & Thurmaier, K. (2005, November 3-6). Government-to-Citizen Electronic Services: Understanding and Driving Adoption of Online Transactions. The Association for Public Policy & Management (APPAM) conference, Washington, D.C.
   Google Scholar
• Collier, J. E., & Bienstock, C. C. (2006). Measuring service quality in e-retailing. Journal of Service Research, 8(3), 260–275. doi:10.1177/1094670505278867
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum Press.
   Google Scholar
• Donthu, N., & Yoo, B. (1998). Cultural influences on service quality expectations. Journal of Service Research, 1(2), 178–186. doi:10.1177/109467059800100207
   Google Scholar
• Dussauge, P., Garrette, B., & Mitchell, W. (2000). Learning from competing partners: Outcomes and durations of scale and link alliances in Europe, North America and Asia. Strategic Management Journal, 21(2), 99–126. doi:10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Ein-Dor, P., Segev, E., & Orgad, M. (1993). The effect of national culture on is: Implications for international information systems. Journal of Global Information Management, 1(1), 33–44. doi:10.4018/JGIM
   Google Scholar
• Emerson, R. M. (1962). Power-dependence relations. American Sociological Review, 27(1), 31–41. doi:10.2307/2089716
   Web of Science ®Google Scholar
• Espinoza, M. M. (1999). Assessing the cross-cultural applicability of a service quality measure, A comparative study between Quebec and Peru. International Journal of Service Industry Management, 10(5), 449–468. doi:10.1108/09564239910288987
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.
   Web of Science ®Google Scholar
• Gil-Garcia, J. R., Chengalur-Smith, I., & Duchessi, P. (2007). Collaborative e-government: Impediments and benefits of information-sharing projects in the public sector. European Journal of Information Systems, 16(2), 121–133. doi:10.1057/palgrave.ejis.3000673
   Web of Science ®Google Scholar
• Goodman, S. E., & Green, J. D. (1992). Computing in the Middle East. Communications of the ACM, 35(8), 21–24. doi:10.1145/135226.135236
   Web of Science ®Google Scholar
• Ha, H. Y., Muthaly, S. K., & Akamavi, R. K. (2010). Alternative explanations of online repurchasing behavioral intentions: A comparison study of Korean and UK young customers. European Journal of Marketing, 44(6), 874–904. doi:10.1108/03090561011032757
   Web of Science ®Google Scholar
• Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Methods, 3(1), 76–83.
   Google Scholar
• Hofstede, G. H. (1980). Culture’s consequences, international differences in work-related values. Beverly Hills, CA: Sage Publications.
   Google Scholar
• Hofstede, G. (2001). Culture’s Consequences, 2nd Edition. Thousand Oaks, CA: Sage.
   Google Scholar
• Hovav, A., & D’Arcy, J. (2012). Applying an extended model of deterrence across cultures: An investigation of information systems misuse in the U.S. and South Korea. Information & Management, 49(2), 99–110. doi:10.1016/j.im.2011.12.005
   Web of Science ®Google Scholar
• Hwang, Y. (2005). Investigating enterprise systems adoption: Uncertainty avoidance, intrinsic motivation, and the technology acceptance model. European Journal of Information Systems, 14(2), 150–161. doi:10.1057/palgrave.ejis.3000532
   Web of Science ®Google Scholar
• Iacobucci, D. (2010). Structural equations modeling: Fit Indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90–98. doi:10.1016/j.jcps.2009.09.003
   Web of Science ®Google Scholar
• Internet World Stats. (2011). Retrieved from http://www.allaboutmarketresearch.com/internet.htm
   Google Scholar
• Irani, Z., Love, P. E. D., & Montazemi, A. (2007). e-Government: Past, present and future. European Journal of Information Systems, 16(2), 103–105. doi:10.1057/palgrave.ejis.3000678
   Web of Science ®Google Scholar
• Jiang, P. (2009). Consumer adoption of mobile internet services: An exploratory study. Journal of Promotion Management, 15(3), 418–454. doi:10.1080/10496490903196213
   Google Scholar
• Kauffman, R. J., & Walden, E. A. (2001). Economics and electronic commerce: Survey and directions for research. International Journal of Electronic Commerce, 5(4), 5–116.
   Web of Science ®Google Scholar
• Kettinger, W. J., Lee, C. C., & Lee, S. (1995). Global measures of information service quality: A cross-national study. Decision Sciences, 26(5), 569–588. doi:10.1111/deci.1995.26.issue-5
   Web of Science ®Google Scholar
• Kline, R. B. (2005). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
   Google Scholar
• Kumar, M., & Sinha, O. P. (2007). M-government—mobile technology for e-government. Computer Society of India, 294–301.
   Google Scholar
• Lane, H.W., & DiStefano, J.J. (1988). International Management Behavior: From Policy to Practice, Scarborough, ON: Nelson Canada.
   Google Scholar
• Levinson, D., & Malone, M. J. (1980). Toward Explaining Human Culture: A Critical Review of the Findings of Worldwide Cross-Cultural Research. New Haven, CT: HRAF Press.
   Google Scholar
• Lucas, H. C., & Spitler, V. K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291–311. doi:10.1111/deci.1999.30.issue-2
   Web of Science ®Google Scholar
• Mattila, A. S. (1999). The role of culture in the service evaluation process. Journal of Service Research, 1(3), 250–261. doi:10.1177/109467059913006
   Google Scholar
• Meso, P., Musa, P., & Mbarika, V. (2005). Towards a model of consumer use of mobile information and communication technology in LDCs: The case of sub-Saharan Africa. Information Systems Journal, 15(2), 119–146. doi:10.1111/isj.2005.15.issue-2
   Web of Science ®Google Scholar
• Misuraca, G. C. (2009). e-Government 2015: Exploring m-government scenarios, between ICT-driven experiments and citizen-centric implications. Technology Analysis & Strategic Management, 21(3), 407–424. doi:10.1080/09537320902750871
   Web of Science ®Google Scholar
• Nelson, K. G., & Clark, Jr, T. D. (1994). Cross-cultural issues in information systems research: A research program. Journal of Global Information Management, 2(4), 19–29. doi:10.4018/JGIM
   Google Scholar
• Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory. New York, NY: McGraw-Hill.
   Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41–50. doi:10.2307/1251430
   Web of Science ®Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. doi:10.1177/1094670504271156
   Web of Science ®Google Scholar
• Parent, M., Vandebeek, C. A., & Gemino, A. C. (2005). Building citizen trust through e-government. Government Information Quarterly, 22, 720–736. doi:10.1016/j.giq.2005.10.001
   Web of Science ®Google Scholar
• Park, C., & Jun, J. K. (2003). A cross-cultural comparison of internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534–553. doi:10.1108/02651330310498771
   Web of Science ®Google Scholar
• Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–131.
   Web of Science ®Google Scholar
• Pavlou, P. A., & Chai, L. (2002). What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behavior. Journal of Electronic Commerce Research, 3(4), 240–253.
   Google Scholar
• Posey, C., Lowry, P. B., Roberts, T. L., & Ellis, T. S. (2010). Proposing the online community self-disclosure model: The case of working professionals in France and the U.K. who use online communities. European Journal of Information Systems, 19, 181–195. doi:10.1057/ejis.2010.15
   Web of Science ®Google Scholar
• Rogers, E. M. (1995). Diffusion of innovations. New York, NY: The Free Press.
   Google Scholar
• Romano, N. C., Pick, J. B., & Roztocki, N. (2010). A motivational model for technology-supported cross-organizational and cross-border collaboration. European Journal of Information Systems, 19(2), 117–133. doi:10.1057/ejis.2010.17
   Web of Science ®Google Scholar
• Roth, M. S. (1995). The effects of culture and socioeconomics on the performance of global brand image strategies. Journal of Marketing Research, 32(2), 163–175. doi:10.2307/3152045
   Web of Science ®Google Scholar
• Schaupp, L. C., & Bélanger, F. (2005). A conjoint analysis of online consumer satisfaction. Journal of Electronic Commerce Research, 6(2), 95–111.
   Google Scholar
• Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90–103. doi:10.1016/j.im.2006.10.007
   Web of Science ®Google Scholar
• Scholl, H. J. (2005, July). The mobility paradigm in government theory and practice: A strategic framework. In I. Kushchu & M. H. Kuscu (Eds.), Proceedings of the 1st European Mobile Government Conference (Euro mGov 2005). Brighton, UK: Mobile Government Consortium International Publishers.
   Google Scholar
• Shareef, M. A., Archer, N., & Dwivedi, Y. K. (2012). Examining adoption behavior of mobile government. Journal of Computer Information Systems, 53(2), 39–49.
   Web of Science ®Google Scholar
• Shareef, M. A., Dwivedi, Y. K., Stamati, T., & Williams, M. D. (2014). SQ mGov: A comprehensive service quality paradigm for mobile government (mGov). Information Systems Management, 31(2), 126–142. doi:10.1080/10580530.2014.890432
   Web of Science ®Google Scholar
• Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17–35. doi:10.1016/j.giq.2010.05.006
   Web of Science ®Google Scholar
• Sivo, S. A., Fan, X., Witta, E. L., & Willse, J. T. (2006). The search for ‘optimal’ cutoff properties: Fit index criteria in structural equation modeling. The Journal of Experimental Education, 74(3), 267–288. doi:10.3200/JEXE.74.3.267-288
   Web of Science ®Google Scholar
• Stanley, M. (2011). Tablet demand and disruption mobile users come of age. USA: Global Technology, Media and Telecommunications Equipment Team.
   Google Scholar
• Stevens, J. (1996). Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33(1), 1–11. doi:10.1016/S0378-7206(97)00026-8
   Web of Science ®Google Scholar
• Swanson, E. B. (1994). Information systems innovation among organizations. Management Science, 40(9), 1069–1092. doi:10.1287/mnsc.40.9.1069
   Web of Science ®Google Scholar
• Tajfel, H. (1972). La categorisation sociale [Social categorization]. In S. Moscovici (Ed.), Introduction a la psychologie sociale (Vol. 1, pp. 272–302). Paris: Larousse.
   Google Scholar
• Tao, S. (2011). The roles of trust and experience in consumer confidence in conducting e-commerce: A cross-cultural comparison between France and Germany. International Journal of Consumer Studies, 35(3), 330–337. doi:10.1111/j.1470-6431.2010.00938.x
   Web of Science ®Google Scholar
• Torkil, C. (2012). Usability problem identification in culturally diverse settings. Information Systems Journal, 22(2), 151–175. doi:10.1111/j.1365-2575.2011.00381.x
   Web of Science ®Google Scholar
• Trimi, S., & Sheng, H. (2008). Emerging trends in m-government. Communications of the ACM, 51(5), 53–58. doi:10.1145/1342327
   Web of Science ®Google Scholar
• Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365.
   Web of Science ®Google Scholar
• Warkentin, M., Gefen, D., Pavlou, P. A., & Rose, G. M. (2002). Encouraging citizen adoption of e-government by building trust. Electronic Markets, 12(3), 157–162. doi:10.1080/101967802320245929
   Google Scholar
• Warkentin, M., & Willison, R. (2009). Behavioral and policy issues in information systems security: The insider threat. European Journal of Information Systems, 18(2), 101–105. doi:10.1057/ejis.2009.12
   Web of Science ®Google Scholar
• Williamson, O. E. (1981). The economics of organization: The transaction cost approach. The American Journal of Sociology, 87(3), 548–577. doi:10.1086/227496
   Web of Science ®Google Scholar
• Winsted, K. F. (1997). The service experience in two cultures: A behavioral perspective. Journal of Retailing, 73(3), 337–360. doi:10.1016/S0022-4359(97)90022-1
   Web of Science ®Google Scholar
• Wu, K. W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889–897. doi:10.1016/j.chb.2011.12.008
   Web of Science ®Google Scholar
• Young, K. L., Rudin-Brown, C. M., Lenne, M. G., & Williamson, A. R. (2012). The implications of cross-regional differences for the design of in-vehicle information systems: A comparison of Australian and Chinese drivers. Applied Ergonomics, 43(3), 564–573. doi:10.1016/j.apergo.2011.09.001
   PubMed Web of Science ®Google Scholar
• Zhang, J. J., Yuan, Y., & Archer, N. (2002). Driving forces for m-commerce success. Journal of Internet Commerce, 1(3), 81–104. doi:10.1300/J179v01n03_08
   Google Scholar
• Zhu, F. X., Wymer, W., & Chen, I. (2002). IT-based services and service quality in consumer banking. International Journal of Service Industry Management, 13(1), 69–90. doi:10.1108/09564230210421164
   Google Scholar
• Zhu, K., Kraemer, K., & Xu, S. (2003). Electronic business adoption by European firms: A cross-country assessment of the facilitators and inhibitors. European Journal of Information Systems, 12(4), 251–268. doi:10.1057/palgrave.ejis.3000475
   Web of Science ®Google Scholar