Citizen and Open Government: An Empirical Analysis of Antecedents of Open Government Data

References

• Almahamid, S., Mcadams, A. C., Al Kalaldeh, T., & Al-Sa’Eed, M. (2010). The relationship between perceived usefulness, perceived ease of use, perceived information quality, and intention to use E-Government. Journal of Theoretical and Applied Information Technology, 11(1), 30–44.
   Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1982). Some methods for respecifying measurement models to obtain unidimensional construct measurement. Journal of Marketing Research, 19(4), 453–460. doi:10.2307/3151719
   Web of Science ®Google Scholar
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. doi:10.2307/3150783
   Web of Science ®Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. doi:10.1007/BF02723327
   Google Scholar
• Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010). Using ICTs to create a culture of transparency: E-Government and social media as openness and anti-corruption tools for societies. Government Information Quarterly, 27(3), 264–271. doi:10.1016/j.giq.2010.03.001
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices. Tampa, FL: USF Tampa Bay Open Access Textbooks Collection.
   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
• Chan, F. K. Y., Thong, J. Y. L., Venkatesh, V., Brown, S. A., Hu, P. J. H., & Tam, K. Y. (2010). Modeling citizen satisfaction with mandatory adoption of an E-Government technology. Journal of the Association for Information Systems, 11(10), 519–549.
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Structural equation modeling analysis with small samples using partial least squares (pp. 307–341). Thousand Oaks, CA: Sage.
   Google Scholar
• Christensen, L. B., Johnson, B., & Turner, L. A. (2015). Research methods, design, and analysis. Boston, MA: Pearson.
   Google Scholar
• Coursey, D., Yang, K., & Pandey, S. K. (2012). Public service motivation (PSM) and support for citizen participation: A test of Perry and Vandenabeele’s reformulation of PSM theory. Public Administration Review, 72(4), 572–582. doi:10.1111/puar.2012.72.issue-4
   Web of Science ®Google Scholar
• Davis, F. D. (1986) A technology acceptance model for empirically testing new end-user information systems: Theory and results ( Doctoral dissertation). Massachusetts Institute of Technology, Cambridge, MA.
   Google Scholar
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum Press.
   Google Scholar
• Eastin, M. S., Cicchirillo, V., & Mabry, A. (2015). Extending the digital divide conversation: Examining the knowledge gap through media expectancies. Journal of Broadcasting & Electronic Media, 59(3), 416–437. doi:10.1080/08838151.2015.1054994
   Web of Science ®Google Scholar
• Escobar Coronado, J. E., & Urriago Vasquez, A. R. (2014). Gamification: An effective mechanism to promote civic engagement and generate trust? Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, 8, 417–420.
   Google Scholar
• Evans, A. M., & Campos, A. (2013). Open government initiatives: Challenges of citizen participation. Journal of Policy Analysis & Management, 32(1), 172–185. doi:10.1002/pam.2013.32.issue-1
   Web of Science ®Google Scholar
• Executive Office of the President. (2009) Memorandum for the heads of executive departments and agencies: Open government directive. News release. Retrieved June 10, 2016, from https://www.whitehouse.gov/sites/default/files/omb/assets/memoranda_2010/m10-06.pdf.
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
   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. doi:10.2307/3151312
   Web of Science ®Google Scholar
• Goldfinch, S., Gauld, R., & Herbison, P. (2009). The participation divide? Political participation, trust in government, and E-government in Australia and New Zealand. Australian Journal of Public Administration, 68(3), 333–350. doi:10.1111/ajpa.2009.68.issue-3
   Web of Science ®Google Scholar
• Goodspeed, R. (2011). From public records to open government: Access to Massachusetts municipal geographic data. Journal of the Urban & Regional Information Systems Association, 23(2), 21–32.
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• Homburg, C., Klarmann, M., Reimann, M., & Schilke, O. (2012). What drives key informant accuracy? Journal of Marketing Research, 49(4), 594–608. doi:10.1509/jmr.09.0174
   Web of Science ®Google Scholar
• Hung, S., Chang, C., & Yu, T. (2006). Determinants of user acceptance of the E-Government services: The case of online tax filing and payment system. Government Information Quarterly, 23(1), 97–122. doi:10.1016/j.giq.2005.11.005
   Web of Science ®Google Scholar
• Hutter, K., Füller, J., & Koch, G. (2011). Why citizens engage in open government platforms? In Lecture Notes in Informatics (LNI) - Proceedings Vol (p. 192). Bonn, Germany: German Informatics Society.
   Google Scholar
• Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 29(4), 258–268. doi:10.1080/10580530.2012.716740
   Web of Science ®Google Scholar
• Kalberg, S. (1980). Max Weber’s types of rationality: Cornerstones for the analysis of rationalization processes in history. American Journal of Sociology, 85(5), 1145–1179. doi:10.1086/227128
   Web of Science ®Google Scholar
• Kassen, M. (2014). Globalization of E-government: Open government as a global agenda; Benefits, Limitations and ways forward. Information Development, 30(1), 51–58. doi:10.1177/0266666912473620
   Web of Science ®Google Scholar
• Kaufmann, N., Schulze, T., & Veit, D. (2011) More than fun and money. Worker motivation in crowdsourcing-a study on mechanical turk. Detroit, MI: AMCIS 2011 Proceedings.
   Google Scholar
• Kim, S. H., & Kim, S. (2016). National culture and social desirability bias in measuring public service motivation. Administration & Society, 48(4), 444–476. doi:10.1177/0095399713498749
   Web of Science ®Google Scholar
• Ko, D., Kirsch, L. J., & King, W. R. (2005). Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly, 29(1), 59–85.
   Web of Science ®Google Scholar
• Lakhani, K. R., & Wolf, R. G. (2005). Why hackers do what they do: understanding motivation and effort in free/open source software projects. In J. Feller, B. Fitzgerald, S. A. Hissam, & K. R. Lakhani (Eds.), Perspectives on Free and Open Source Software (pp. 3–23). Cambridge, MA: MIT Press.
   Google Scholar
• Lee, G., & Kwak, Y. H. (2012). An open government maturity model for social media-based public engagement. Government Information Quarterly, 29(4), 492–503. doi:10.1016/j.giq.2012.06.001
   Web of Science ®Google Scholar
• Lee, J., & Rao, H. R. (2009). Task complexity and different decision criteria for online service acceptance: A comparison of two E-Government compliance service domains. Decision Support Systems, 47(4), 424–435. doi:10.1016/j.dss.2009.04.009
   Web of Science ®Google Scholar
• Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. doi:10.1016/S0378-7206(01)00143-4
   Web of Science ®Google Scholar
• Levine, D. N. (1981). Rationality and freedom: Weber and beyond. Sociological Inquiry, 51(1), 5–25. doi:10.1111/soin.1981.51.issue-1
   Web of Science ®Google Scholar
• Lin, C., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85–108. doi:10.2753/JEC1086-4415130103
   Web of Science ®Google Scholar
• Lin, K., & Lu, H. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161. doi:10.1016/j.chb.2010.12.009
   Web of Science ®Google Scholar
• Lozano, L. M., García-Cueto, E., & Muñiz, J. (2008). Effect of the number of response categories on the reliability and validity of rating scales. Methodology, 4(2), 73–79. doi:10.1027/1614-2241.4.2.73
   Google Scholar
• Luna-Reyes, L. F., Bertot, J. C., & Mellouli, S. (2014). Open government, open data and digital government. Government Information Quarterly, 31(1), 4–5. doi:10.1016/j.giq.2013.09.001
   Web of Science ®Google Scholar
• Ma, Q., & Liu, L. (2004). The technology acceptance model. Journal of Organizational and End User Computing, 16(1), 59–72. doi:10.4018/JOEUC
   Google Scholar
• Marco, S. D., Robles, J. M., & Antino, M. (2014). Digital skills as a conditioning factor for digital political participation. Communications-The European Journal of Communication Research, 39(1), 43–65.
   Web of Science ®Google Scholar
• Meijer, A. J., Curtin, D., & Hillebrandt, M. (2012). Open government: Connecting vision and voice. International Review of Administrative Sciences, 78(1), 10–29. doi:10.1177/0020852311429533
   Web of Science ®Google Scholar
• Nam, T. (2015). Challenges and concerns of open government. Social Science Computer Review, 33(5), 556–570. doi:10.1177/0894439314560848
   Web of Science ®Google Scholar
• Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches. Harlow, Essex: Pearson.
   Google Scholar
• Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346. doi:10.1177/0092070305276149
   Web of Science ®Google Scholar
• Ohemeng, F. L., & Ofosu-Adarkwa, K. (2015). One way traffic: The open data initiative project and the need for an effective demand side initiative in Ghana. Government Information Quarterly, 32(4), 419. doi:10.1016/j.giq.2015.07.005
   Web of Science ®Google Scholar
• Ozkan, S., & Kanat, I. E. (2011). E-government adoption model based on theory of planned behavior: Empirical validation. Government Information Quarterly, 28(4), 503–513. doi:10.1016/j.giq.2010.10.007
   Web of Science ®Google Scholar
• Papadomichelaki, X., & Mentzas, G. (2012). E-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 29(1), 98–109. doi:10.1016/j.giq.2011.08.011
   Web of Science ®Google Scholar
• Parycek, P., Höchtl, J., & Ginner, M. (2014). Open government data implementation evaluation. Journal of Theoretical and Applied Electronic Commerce Research, 9(2), 13–14. doi:10.4067/S0718-18762014000200007
   Web of Science ®Google Scholar
• Podsakoff, P. M. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544. doi:10.1177/014920638601200408
   Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Preston, C. C., & Colman, A. M. (2000). Optimal number of response categories in rating scales: Reliability, validity, discriminating power, and respondent preferences. Acta Psychologica, 104(1), 1–15. doi:10.1016/S0001-6918(99)00050-5
   PubMed Web of Science ®Google Scholar
• Rana, N. P., Williams, M. D., & Dwivedi, Y. K. (2012) E-Government adoption research: A meta-analysis of findings. ECIS 2012 Proceedings. Paper 3.
   Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67. doi:10.1006/ceps.1999.1020
   PubMed Web of Science ®Google Scholar
• Sipior, J. C., Ward, B. T., & Connolly, R. (2011). The digital divide and T-Government in the United States: Using the technology acceptance model to understand usage. European Journal of Information Systems, 20(3), 308–328. doi:10.1057/ejis.2010.64
   Web of Science ®Google Scholar
• Siregar, J., & Tan, M. T. K. (2004, June 14–16) Leveraging theoretical pluralism in qualitative is research: The example of is professionals’ identity as a complex phenomenon. In: Proceedings of the 13th European Conference on Information Systems, The European IS Profession in the Global Networking Environment, ECIS 2004, Turku, Finland, (pp. 1814–1826).
   Google Scholar
• Steenkamp, J. E., & Baumgartner, H. (2000). On the use of structural equation models for marketing modeling. International Journal of Research in Marketing, 17(2–3), 195–202. doi:10.1016/S0167-8116(00)00016-1
   Web of Science ®Google Scholar
• Taiwo, A. A., Downe, A. G., & Loke, S. (2014). Behavioral Intention towards E-Government in Malaysia. International Journal of Electronic Government Research, 10(2), 8–21. doi:10.4018/ijegr.2014040102
   Google Scholar
• Torkzadeh, G., & van Dyke, T. P. (2001). Development and validation of an internet self-efficacy scale. Behaviour & Information Technology, 20(4), 275–280. doi:10.1080/01449290110050293
   Web of Science ®Google Scholar
• van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704.
   Web of Science ®Google Scholar
• van Deursen, A. J., & van Dijk, J. A. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526. doi:10.1177/1461444813487959
   Web of Science ®Google Scholar
• Veeckman, C., & van der Graaf, S. (2015). City as living laboratory: Empowering citizens with the citadel toolkit. Technology Innovation Management Review, 5(3), 6–17.
   Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
   Web of Science ®Google Scholar
• Wang, Y. (2003). The adoption of electronic tax filing systems: An empirical study. Government Information Quarterly, 20(4), 333–352. doi:10.1016/j.giq.2003.08.005
   Web of Science ®Google Scholar
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2), 13–23.
   Web of Science ®Google Scholar
• Wijnhoven, F., Ehrenhard, M., & Kuhn, J. (2015). Open government objectives and participation motivations. Government Information Quarterly, 32(1), 30–42. doi:10.1016/j.giq.2014.10.002
   Web of Science ®Google Scholar
• Wirtz, B. W., & Birkmeyer, S. (2015). Open government: Origin, development, and conceptual perspectives. International Journal of Public Administration, 38(5), 381–396. doi:10.1080/01900692.2014.942735
   Web of Science ®Google Scholar
• Wirtz, B. W., & Göttel, V. (2016). Technology acceptance in social media: Review, synthesis and directions for future empirical research. Journal of Electronic Commerce Research, 17(2), 97.
   Web of Science ®Google Scholar
• Wirtz, B. W., & Piehler, R. (2015). E-Government applications and public personnel acceptance: An empirical analysis of the public servant perspective. International Journal of Public Administration, 39(3), 238–247. doi:10.1080/01900692.2014.1003384
   Google Scholar
• Wirtz, B. W., Piehler, R., & Daiser, P. (2015). E-Government portal characteristics and individual appeal: An examination of E-Government and citizen acceptance in the context of local administration portals. Journal of Nonprofit & Public Sector Marketing, 27(1), 70–98. doi:10.1080/10495142.2014.965082
   Web of Science ®Google Scholar
• Wirtz, B. W., Piehler, R., & Ullrich, S. (2013). Determinants of social media website attractiveness. Journal of Electronic Commerce Research, 14(1), 11.
   Web of Science ®Google Scholar
• Wright, B. E., Manigault, L. J., & Black, T. R. (2004). Quantitative research measurement in public administration: An assessment of journal publications. Administration & Society, 35(6), 747–764. doi:10.1177/0095399703257266
   Web of Science ®Google Scholar
• Zheng, D., Chen, J., Huang, L., & Zhang, C. (2013). E-government adoption in public administration organizations: Integrating institutional theory perspective and resource-based view. European Journal of Information Systems, 22(2), 221–234. doi:10.1057/ejis.2012.28
   Web of Science ®Google Scholar
• Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods. Mason, OH: South-Western.
   Google Scholar
• Zuiderwijk, A., Janssen, M., Choenni, S., Meijer, R., Alibaks, R. S., & Sheikh_Alibaks, R. (2012). Socio-technical impediments of open data. Electronic Journal of E-government, 10(2), 156–172.
   Google Scholar