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Understanding the Interplay Between Government Microblogs and Citizen Engagement: Evidence from China

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Abstract

Government microblogs have been used to provide information and increase communication with citizens. Despite increased attention on the development of government microblogs during the last several years, there is a lack of empirical evidence focusing on the nature of government activities enabled in microblogs and their effect on the citizens that use them. Utilizing the technology–organization–environment (TOE) theory and the literature on citizen engagement, this study examined the contextual antecedents of government activities in microblogs and further explored their relationship with citizen engagement. Based on data from 284 cities in China, our results showed that some of the TOE contextual factors had a positive influence on the level of government activity in microblogs. Furthermore, the level of government activity in microblogs was positively associated with the extent of citizen engagement. Results also indicated that satisfaction negatively moderated this relationship, but the moderating role of human capital was insignificant. Our findings contribute to the theoretical discourse by identifying contextual factors affecting the level of government activity in social media and provide practical implications on enhancing citizen engagement in implementing relevant government microblog initiatives.

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References

  1. Hao, X., Zheng, D., Zeng, Q., & Fan, W. (2016). How to strengthen the social media interactivity of e-government. Online Information Review, 40(1), 79–96.

    Google Scholar 

  2. Ma, L. (2013). The diffusion of government microblogging. Public Management Review, 15(2), 288–309.

    Google Scholar 

  3. Bertot, J. C., Jaeger, P. T., & Hansen, D. (2012). The impact of polices on government social media usage: Issues, challenges, and recommendations. Government Information Quarterly, 29(1), 30–40.

    Google Scholar 

  4. Kim, S. K., Park, M. J., & Rho, J. J. (2013). Effect of the government’s use of social media on the reliability of the government: Focus on Twitter. Public Management Review, 17(3), 328–355.

    Google Scholar 

  5. Bonsón, E., Royo, S., & Ratkai, M. (2015). Citizens' engagement on local governments' Facebook sites. An empirical analysis: The impact of different media and content types in Western Europe. Government Information Quarterly, 32(1), 52–62.

    Google Scholar 

  6. Mergel, I. (2013). A framework for interpreting social media interactions in the public sector. Government Information Quarterly, 30(4), 327–334.

    Google Scholar 

  7. PDPOMO. (2018). China government microblogs report 2017. The People’s Daily Public Opinion Monitoring Office. Retrieved July 20, 2018, from https://max.book118.com/html/2018/0131/151305537.shtm.

  8. Park, M. J., Kang, D., Rho, J. J., & Lee, D. H. (2016). Policy role of social media in developing public trust: Twitter communication with government leaders. Public Management Review, 18(9), 1265–1288.

    Google Scholar 

  9. Golbeck, J., Grimes, J. M., & Rogers, A. (2010). Twitter use by the US Congress. Journal of the American Society for Information Science and Technology, 61(8), 1612–1621.

    Google Scholar 

  10. Kassen, M. (2013). A promising phenomenon of open data: A case study of the Chicago open data project. Government Information Quarterly, 30(4), 508–513.

    Google Scholar 

  11. Noesselt, N. (2014). Microblogs and the adaptation of the Chinese party-state's governance strategy. Governance, 27(3), 449–468.

    Google Scholar 

  12. CNNIC. (2018). The forty-first China internet development statistics report. Internet Network Information Center. Retrieved June 10, 2018, from http://www.199it.com/archives/685063.html.

  13. Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. (1990). The processes of technological innovation. Issues in organization and management series. Lexington, MA: Lexington Books.

    Google Scholar 

  14. Krishnan, S., Teo, T. S. H., & Lymm, J. (2017). Determinants of electronic participation and electronic government maturity: Insights from cross-country data. International Journal of Information Management, 37(4), 297–312.

    Google Scholar 

  15. Zhang, N., Zhao, X., Zhang, Z., Meng, Q., & Tan, H. (2017). What factors drive open innovation in China's public sector? A case study of official document exchange via microblogging (ODEM) in Haining. Government Information Quarterly, 34(1), 126–133.

    Google Scholar 

  16. Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130.

    Google Scholar 

  17. Sinkovics, R. R., & Kim, D. (2014). The impact of technological, organizational and environmental characteristics on electronic collaboration and relationship performance in international customer–supplier relationships. Information & Management, 51(7), 854–864.

    Google Scholar 

  18. Zhu, K., & Kraemer, K. L. (2005). Post-adoption variations in usage and value of e-Business by organizations: Cross-country evidence from the retail industry. Information Systems Research, 16(1), 61–84.

    Google Scholar 

  19. Lin, H.-F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework. Technological Forecasting and Social Change, 86, 80–92.

    Google Scholar 

  20. Wang, Y.-S., Li, H.-T., Li, C.-R., & Zhang, D.-Z. (2016). Factors affecting hotels' adoption of mobile reservation systems: A technology–organization–environment framework. Tourism Management, 53, 163–172.

    Google Scholar 

  21. Wu, I.-L., & Chen, J.-L. (2014). A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology–organization–environment. Technological Forecasting and Social Change, 88, 76–90.

    Google Scholar 

  22. Yeh, C.-H., Lee, G.-G., & Pai, J.-C. (2014). Using a technology–organization–environment framework to investigate the factors influencing e-business information technology capabilities. Information Development, 31(5), 435–450.

    Google Scholar 

  23. Ma, L. (2014). Diffusion and assimilation of government microblogging: Evidence from Chinese cities. Public Management Review, 16(2), 274–295.

    Google Scholar 

  24. Rogers, E. M., & Williams, D. (1983). Diffusion of innovations. New York, NY: The Free Press.

    Google Scholar 

  25. Liu, C.-Y., Yang, S.-S., & Lin, I.-C. (2014). Critical factors of educational institutions adoption for BS 10012: Personal information management system. Int. J. Network Secur, 16, 161–167.

    Google Scholar 

  26. Ma, L. (2016). The diffusion of microblogging in the public sector: Evidence from Chinese provinces. In M. Z. Sobaci (Ed.), Social media and local governments (pp. 171–192). New York, NY: Springer.

    Google Scholar 

  27. Mossberger, K., Wu, Y., & Crawford, J. (2013). Connecting citizens and local governments? Social media and interactivity in major U.S. cities. Government Information Quarterly, 30(4), 351–358.

    Google Scholar 

  28. El-Gohary, H. (2012). Factors affecting e-marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5), 1256–1269.

    Google Scholar 

  29. Tajudeen, F. P., Jaafar, N. I., & Ainin, S. (2018). Understanding the impact of social media usage among organizations. Information & Management, 55(3), 308–321.

    Google Scholar 

  30. Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated technology–organization–environment (T–O–E) taxonomies for technology adoption. Journal of Enterprise Information Management, 30(6), 893–921.

    Google Scholar 

  31. Chong, J. L., & Olesen, K. (2017). A technology–organization–environment perspective on eco-effectiveness: A Meta-analysis. Australasian Journal of Information Systems, 21, 1–26.

    Google Scholar 

  32. Ramamurthy, K., Premkumar, G., & Crum, M. R. (1999). Organizational and interorganizational determinants of EDI diffusion and organizational performance: A causal model. Journal of Organizational Computing and Electronic Commerce, 9(4), 253–285.

    Google Scholar 

  33. Bose, R., & Luo, X. (2011). Integrative framework for assessing firms’ potential to undertake green IT initiatives via virtualization—A theoretical perspective. The Journal of Strategic Information Systems, 20(1), 38–54.

    Google Scholar 

  34. Fu, H.-P., & Su, H.-T. (2014). A framework for a technology–organization–environment implementation model in Taiwan's traditional retail supermarkets. International Journal of Organizational Innovation, 6(3), 121–129.

    Google Scholar 

  35. Wang, Y.-M., & Wang, Y.-C. (2016). Determinants of firms' knowledge management system implementation: An empirical study. Computers in Human Behavior, 64, 829–842.

    Google Scholar 

  36. Pan, M.-J., & Jang, W.-Y. (2008). Determinants of the adoption of enterprise resource planning within the technology–organization–environment framework: Taiwan's communications industry. Journal of Computer Information Systems, 48(3), 94–102.

    Google Scholar 

  37. Teo, T. S., Lin, S., & Lai, K.-H. (2009). Adopters and non-adopters of e-procurement in Singapore: An empirical study. Omega, 37(5), 972–987.

    Google Scholar 

  38. Reddick, C. G. (2005). Citizen interaction with e-government: From the streets to servers? Government Information Quarterly, 22(1), 38–57.

    Google Scholar 

  39. Homburg, V., Dijkshoorn, A., & Thaens, M. (2014). Diffusion of personalised services among Dutch municipalities: Evolving channels of persuasion. Local Government Studies, 40(3), 429–450.

    Google Scholar 

  40. Norris, D. F., & Kraemer, K. L. (1996). Mainframe and PC computing in American cities: Myths and realities. Public Administration Review, 56(6), 568–576.

    Google Scholar 

  41. Ensminger, D. C., Surry, D. W., Porter, B. E., & Wright, D. (2004). Factors contributing to the successful implementation of technology innovations. Journal of Educational Technology & Society, 7(3), 61–72.

    Google Scholar 

  42. Schwab, K., & Sala-i-Martin, X. (2015). World Economic Forum’s global competitiveness report, 2014–2015. World Economic Forum. Retrieved September 26, 2017, from http://reports.weforum.org/global-competitiveness-report-2014-2015/.

  43. Gui, Q. (2016). Yearbook of China city competitiveness 2015. Hong Kong: China Institute of City Competitiveness Press.

    Google Scholar 

  44. Krishnan, R. A., Joshi, S., & Krishnan, H. (2004). The influence of mergers on firms' product-mix strategies. Strategic Management Journal, 25(6), 587–611.

    Google Scholar 

  45. Ramdani, B., Chevers, D., & Williams, A. D. (2013). SMEs' adoption of enterprise applications: A technology–organization–environment model. Journal of Small Business and Enterprise Development, 20(4), 735–753.

    Google Scholar 

  46. Scott, W. R. (1987). The adolescence of institutional theory. Administrative Science Quarterly, 32(4), 493–511.

    Google Scholar 

  47. Luna-Reyes, L. F., & Gil-García, J. R. (2011). Using institutional theory and dynamic simulation to understand complex e-Government phenomena. Government Information Quarterly, 28(3), 329–345.

    Google Scholar 

  48. Berry, F. S., & Berry, W. D. (2007). Innovation and diffusion models in policy research. In P. A. Sabatier (Ed.), Theories of the policy process (pp. 209–253). Boulder, CO: Westview Press.

    Google Scholar 

  49. Fan, B., & Zhao, Y. (2017). The moderating effect of external pressure on the relationship between internal organizational factors and the quality of open government data. Government Information Quarterly, 34(3), 396–405.

    Google Scholar 

  50. Lee, C. P., Chang, K., & Berry, F. S. (2011). Testing the development and diffusion of e-government and e-democracy: A global perspective. Public Administration Review, 71(3), 444–454.

    Google Scholar 

  51. Popp, D., Hafner, T., & Johnstone, N. (2011). Environmental policy vs. public pressure: Innovation and diffusion of alternative bleaching technologies in the pulp industry. Research Policy, 40(9), 1253–1268.

    Google Scholar 

  52. Srivastava, S. C., & Teo, T. S. (2008). The relationship between e-government and national competitiveness: The moderating influence of environmental factors. Communications of the Association for Information Systems, 23(5), 73–94.

    Google Scholar 

  53. Bonsón, E., Royo, S., & Ratkai, M. (2017). Facebook practices in Western European municipalities: An empirical analysis of activity and citizens’ engagement. Administration & Society, 49(3), 320–347.

    Google Scholar 

  54. Bonsón, E., Perea, D., & Bednárová, M. (2019). Twitter as a tool for citizen engagement: An empirical study of the Andalusian municipalities. Government Information Quarterly, 36(3), 480–489.

    Google Scholar 

  55. Haro-de-Rosario, A., Sáez-Martín, A., & del Carmen Caba-Pérez, M. (2018). Using social media to enhance citizen engagement with local government: Twitter or Facebook? New Media & Society, 20(1), 29–49.

    Google Scholar 

  56. Hofmann, S., Beverungen, D., Räckers, M., & Becker, J. (2013). What makes local governments' online communications successful? Insights from a multi-method analysis of Facebook. Government Information Quarterly, 30(4), 387–396.

    Google Scholar 

  57. Mergel, I. (2013). Social media adoption and resulting tactics in the U.S. Federal Government. Government Information Quarterly, 30(2), 123–130.

    Google Scholar 

  58. Zavattaro, S. M., French, P. E., & Mohanty, S. D. (2015). A sentiment analysis of U.S. local government tweets: The connection between tone and citizen involvement. Government Information Quarterly, 32(3), 333–341.

    Google Scholar 

  59. Zheng, L., & Zheng, T. (2014). Innovation through social media in the public sector: Information and interactions. Government Information Quarterly, 31, S106–S117.

    Google Scholar 

  60. Chouikh, A., Ojo, A., & Driss, O. B. (2016). Exploring the affordances of social media platforms in supporting emerging public service paradigms. In Proceedings of the 9th international conference on theory and practice of electronic governance (pp. 177–186).

  61. Dini, A. A., Wahid, F., & Sæbo, Ø. (2012). Affordances and constraints of social media use in eParticipation: Perspectives from Indonesian politicians. Paper presented at the Hawaii international conference on information systems, Kaua'i, Hawaii.

  62. Stamati, T., Papadopoulos, T., & Anagnostopoulos, D. (2015). Social media for openness and accountability in the public sector: Cases in the Greek context. Government Information Quarterly, 32(1), 12–29.

    Google Scholar 

  63. Cabiddu, F., Carlo, M. D., & Piccoli, G. (2014). Social media affordances: Enabling customer engagement. Annals of Tourism Research, 48, 175–192.

    Google Scholar 

  64. Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B. (2013). The contradictory influence of social media affordances on online communal knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 38–55.

    Google Scholar 

  65. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Google Scholar 

  66. Lee, G., & Kwak, Y. H. (2012). An open government maturity model for social media-based public engagement. Government Information Quarterly, 29(4), 492–503.

    Google Scholar 

  67. Moon, J. Y., & Sproull, L. S. (2008). The role of feedback in managing the internet-based volunteer work force. Information Systems Research, 19(4), 494–515.

    Google Scholar 

  68. Hung, S. Y., Chen, K., & Su, Y. K. (2019). The effect of communication and social motives on E-government services through social media groups. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2019.1610907.

    Article  Google Scholar 

  69. Oliver, R. L., Rust, R. T., & Varki, S. (1997). Customer delight: Foundations, findings, and managerial insight. Journal of Retailing, 73(3), 311–336.

    Google Scholar 

  70. Santa, R., MacDonald, J. B., & Ferrer, M. (2019). The role of trust in e-Government effectiveness, operational effectiveness and user satisfaction: Lessons from Saudi Arabia in e-G2B. Government Information Quarterly, 36(1), 39–50.

    Google Scholar 

  71. Al Athmay, A. A. A., Fantazy, K., & Kumar, V. (2016). E-government adoption and user’s satisfaction: An empirical investigation. EuroMed Journal of Business, 11(1), 57–83.

    Google Scholar 

  72. Weerakkody, V., Irani, Z., Lee, H., Hindi, N., & Osman, I. (2016). Are UK citizens satisfied with e-government services? Identifying and testing antecedents of satisfaction. Information Systems Management, 33(4), 331–343.

    Google Scholar 

  73. Alawneh, A., Al-Refai, H., & Batiha, K. (2013). Measuring user satisfaction from e-government services: Lessons from Jordan. Government Information Quarterly, 30(3), 277–288.

    Google Scholar 

  74. Krishnan, S., & Teo, T. S. H. (2012). Moderating effects of governance on information infrastructure and e-government development. Journal of the American Society for Information Science and Technology, 63(10), 1929–1946.

    Google Scholar 

  75. Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17.

    Google Scholar 

  76. Åström, J., Karlsson, M., Linde, J., & Pirannejad, A. (2012). Understanding the rise of e-participation in non-democracies: Domestic and international factors. Government Information Quarterly, 29(2), 142–150.

    Google Scholar 

  77. Girish, J., Williams, C. B., & Yates, D. J. (2014). Predictors of on-line services and e-participation: A cross-national comparison. Government Information Quarterly, 31(4), 526–533.

    Google Scholar 

  78. Srivastava, S. C., & Teo, T. S. (2007). E-government payoffs: Evidence from cross-country data. Journal of Global Information Management, 15(4), 20–40.

    Google Scholar 

  79. Meng, Q., Zhang, N., Zhao, X., Li, F., & Guan, X. (2016). The governance strategies for public emergencies on social media and their effects: A case study based on the microblog data. Electronic Markets, 26(1), 15–29.

    Google Scholar 

  80. CSTC. (2013). China governmental website performance report. Software Testing Center. Retrieved November 10, 2014, from http://2013wzpg.cstc.org.cn/jxpg2013/index.html.

  81. NBSC. (2016). China statistical yearbook. Beijing, China: China Statistics Press.

    Google Scholar 

  82. Gatignon, H., & Robertson, T. S. (1989). Technology diffusion: An empirical test of competitive effects. The Journal of Marketing, 53(1), 35–49.

    Google Scholar 

  83. PDPOMO. (2016). China government microblogs report 2015. The People’s Daily Public Opinion Monitoring Office. Retrieved April 25, 2017, from https://max.book118.com/html/2016/0314/37644232.shtm.

  84. PDPOMO. (2016). China government microblogs report for the first half of 2016. The People’s Daily Public Opinion Monitoring Office. Retrieved September 10, 2017, from http://yuqing.people.com.cn/NMediaFile/2016/0804/MAIN201608041302000017647350845.pdf.

  85. Organisation for Economic Co-operation and Development. (2001). Citizens as partners: Information, consultation and public participation in policy-making. Paris: Organisation for Economic Co-operation and Development.

    Google Scholar 

  86. Rowe, G., & Frewer, L. J. (2000). Public participation methods: A framework for evaluation. Science, Technology, & Human Values, 25(1), 3–29.

    Google Scholar 

  87. Lev-On, A., & Steinfeld, N. (2015). Local engagement online: Municipal Facebook pages as hubs of interaction. Government Information Quarterly, 32(3), 299–307.

    Google Scholar 

  88. Agostino, D., & Arnaboldi, M. (2015). A measurement framework for assessing the contribution of social media to public engagement: An empirical analysis on Facebook. Public Management Review, 18(9), 1289–1307.

    Google Scholar 

  89. PDPOMO. (2016). China government microblogs report for the third quarter of 2016. The People’s Daily Public Opinion Monitoring Office. Retrieved September 20, 2017, from https://max.book118.com/html/2017/0313/95199268.shtm.

  90. Coff, R. W. (2002). Human capital, shared expertise, and the likelihood of impasse in corporate acquisitions. Journal of Management, 28(1), 107–128.

    Google Scholar 

  91. Gujarati, D. N., & Porter, D. (2009). Basic econometrics (International ed.). New York, NY: McGraw-Hill.

    Google Scholar 

  92. Fox, J. (1991). Regression diagnostics: An introduction (Vol. 79). Thousand Oaks, CA: Sage.

    Google Scholar 

  93. Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks: Sage.

    Google Scholar 

  94. Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017). Factors influencing the adoption of e-Government services in Mauritius. Telematics and Informatics, 34(4), 57–72.

    Google Scholar 

  95. Mukonza, R. M., Maserumule, M. H., & Moeti, K. B. (2016). A critical examination of socioeconomic and demographic factors as determinants of e-government adoption among residents in Zimbabwe's two local authorities. Africa Insight, 46(2), 60–75.

    Google Scholar 

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Acknowledgements

This study was supported financially by the National Social Science Foundation of China (NSSF, 13CGL145).

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  1. School of Economics and Finance, Xi’an Jiaotong University, Xi’an, China

    Lihua Wang

  2. Anderson School of Management, University of New Mexico, Albuquerque, NM, USA

    Xin Luo

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Wang, L., Luo, X. Understanding the Interplay Between Government Microblogs and Citizen Engagement: Evidence from China. Electron Commer Res 21, 487–520 (2021). https://doi.org/10.1007/s10660-019-09376-1

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