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A Predictive Model for Citizens’ Utilization of Open Government Data Portals

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Digital Libraries at Times of Massive Societal Transition (ICADL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12504))

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Abstract

Open government data (OGD) initiatives for building OGD portals have not yet delivered the expected benefits of OGD to the whole of society. Although citizens’ reluctance to use OGD has become a key problem in the present OGD development, limited studies have been carried out to investigate citizens’ actual usage of OGD and OGD portals. In order to fill this research gap, this study primarily focuses on predicting citizens’ actual utilization of OGD portals. To find features influencing citizens’ utilization of OGD portals and to predict their actual usage of OGD portals, an experiment was designed and carried out in China. A predictive model was built with C5.0 algorithm based on data collected through the experiment, with a predictive accuracy rate of 84.81%. Citizens’ monthly income, the compatibility of OGD portals, and citizens’ attentiveness regarding their interactions with OGD portals are found to be the most important factors influencing citizens’ actual utilization of OGD portals. Positive effects of compatibility, attentiveness, and perceived usefulness on citizens’ usage of OGD portals are noticed.

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References

  1. Attard, J., et al.: A systematic review of open government data initiatives. Gov. Inf. Q. 32(4), 399–418 (2015)

    Article  Google Scholar 

  2. Graves-Fuenzalida, A.: Improving the use of open government data using visualizations, Rensselaer Polytechnic Institute (2013)

    Google Scholar 

  3. Meijer, A., de Hoog, J., van Twist, M., van der Steen, M., Scherpenisse, J.: Understanding the dynamics of open data: from sweeping statements to complex contextual interactions. In: Gascó-Hernández, M. (ed.) Open Government. PAIT, vol. 4, pp. 101–114. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-9563-5_7

    Chapter  Google Scholar 

  4. Cranefield, J., Robertson, O., Oliver, G.: Value in the mash: Exploring the benefits, barriers and enablers of open data apps (2014)

    Google Scholar 

  5. Horrigan, J.B., Rainie, L., Page, D.: Americans’ views on open government data. Pew Research Center (2015)

    Google Scholar 

  6. OpenDataBarometer: Open Data Barometer Leaders Edition: From Promise to Progress (2018)

    Google Scholar 

  7. Gauld, R., Goldfinch, S., Horsburgh, S.: Do they want it? Do they use it? The ‘demand-side’of e-government in Australia and New Zealand. Gov. Inf. Q. 27(2), 177–186 (2010)

    Article  Google Scholar 

  8. Wang, D., Richards, D., Chen, C.: Connecting users, data and utilization: a demand-side analysis of open government data. In: Taylor, N.G., Christian-Lamb, C., Martin, M.H., Nardi, B. (eds.) iConference 2019. LNCS, vol. 11420, pp. 488–500. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15742-5_47

    Chapter  Google Scholar 

  9. Ruijer, E., Grimmelikhuijsen, S., Meijer, A.: Open data for democracy: developing a theoretical framework for open data use. Gov. Inf. Q. 34(1), 45–52 (2017)

    Article  Google Scholar 

  10. Safarov, I., Meijer, A., Grimmelikhuijsen, S.: Utilization of open government data: a systematic literature review of types, conditions, effects and users. Inf. Polity 22, 1–24 (2017)

    Article  Google Scholar 

  11. Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manage. 29(4), 258–268 (2012)

    Article  Google Scholar 

  12. Ubaldi, B.: Open government data: towards empirical analysis of open government data initiatives. OECD Working Papers on Public Governance, no. 22, p. 1 (2013)

    Google Scholar 

  13. Kassen, M.: A promising phenomenon of open data: a case study of the Chicago open data project. Gov. Inf. Q. 30(4), 508–513 (2013)

    Article  Google Scholar 

  14. Weerakkody, V., Irani, Z., Kapoor, K., Sivarajah, U., Dwivedi, Y.K.: Open data and its usability: an empirical view from the Citizen’s perspective. Inf. Syst. Front. 19(2), 285–300 (2016). https://doi.org/10.1007/s10796-016-9679-1

    Article  Google Scholar 

  15. Rana, N.P., Dwivedi, Y.K., Williams, M.D.: A meta-analysis of existing research on citizen adoption of e-government. Inf. Syst. Front. 17(3), 547–563 (2013). https://doi.org/10.1007/s10796-013-9431-z

    Article  Google Scholar 

  16. Huang, Z., Benyoucef, M.: Usability and credibility of e-government websites. Gov. Inf. Q. 31(4), 584–595 (2014)

    Article  Google Scholar 

  17. Ruijer, E., et al.: Connecting societal issues, users and data scenario-based design of open data platforms. Gov. Inf. Q. 34, 470–480 (2017)

    Article  Google Scholar 

  18. Wang, H.-J., Lo, J.: Adoption of open government data among government agencies. Gov. Inf. Q. 33(1), 80–88 (2016)

    Article  Google Scholar 

  19. Carter, L., Belanger, F.: Citizen adoption of electronic government initiatives. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences (2004). IEEE

    Google Scholar 

  20. Chuttur, M.Y.: Overview of the technology acceptance model: Origins, developments and future directions. Working Papers Inf. Syst. 9(37): 9–37 (2009)

    Google Scholar 

  21. Zhang, S., et al.: A predictive model for assistive technology adoption for people with dementia. IEEE J. Biomed. Health Inf. 18(1), 375–383 (2013)

    Article  Google Scholar 

  22. King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manag. 43(6), 740–755 (2006)

    Article  Google Scholar 

  23. Parycek, P., Hochtl, J., Ginner, M.: Open government data implementation evaluation. J. Theoret. Appl. Electron. Commerce Res. 9(2), 80–99 (2014)

    Article  Google Scholar 

  24. Power, R., et al.: Scenario planning case studies using open government data. In: ISESS (2015)

    Google Scholar 

  25. Magalhaes, G., Roseira, C., Manley, L.: Business models for open government data. In: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (2014). ACM

    Google Scholar 

  26. Susha, I., Grönlund, Å., Janssen, M.: Driving factors of service innovation using open government data: an exploratory study of entrepreneurs in two countries. Inf. Polity 20(1), 19–34 (2015)

    Article  Google Scholar 

  27. Gonzalez-Zapata, F., Heeks, R.: The multiple meanings of open government data: Understanding different stakeholders and their perspectives. Gov. Inf. Q. 32(4), 441–452 (2015)

    Article  Google Scholar 

  28. Whitmore, A.: Using open government data to predict war: a case study of data and systems challenges. Gov. Inf. Q. 31(4), 622–630 (2014)

    Article  Google Scholar 

  29. Veeckman, C., van der Graaf, S.: The city as living laboratory: empowering citizens with the citadel toolkit. Technol. Innovation Manage. Rev. 5(3) (2015)

    Google Scholar 

  30. Heise, A., Naumann, F.: Integrating open government data with stratosphere for more transparency. Web Semant. Sci. Serv. Agents World Wide Web 14, 45–56 (2012)

    Article  Google Scholar 

  31. Murillo, M.J.: Evaluating the role of online data availability: the case of economic and institutional transparency in sixteen Latin American nations. Int. Polit. Sci. Rev. 36(1), 42–59 (2015)

    Article  Google Scholar 

  32. Dwivedi, Y.K., Williams, M.D.: Demographic influence on UK citizens’e-government adoption. Electron. Gov. Int. J. 5(3), 261–274 (2008)

    Google Scholar 

  33. Venkatesh, V., Sykes, T.A., Venkatraman, S.: Understanding e-Government portal use in rural India: role of demographic and personality characteristics. Inf. Syst. J. 24(3), 249–269 (2014)

    Article  Google Scholar 

  34. Venkatesh, V., et al.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)

    Article  Google Scholar 

  35. Rogers, E.M.: Diffusion of innovations. Simon and Schuster, New York (2010)

    Google Scholar 

  36. Carter, L., Bélanger, F.: The utilization of e-government services: citizen trust, innovation and acceptance factors. Inf. Syst. J. 15(1), 5–25 (2005)

    Article  Google Scholar 

  37. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  38. Wu, P.F.: User acceptance of emergency alert technology: a case study. In: Proceedings of the 6th International ISCRAM Conference (2009)

    Google Scholar 

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

    Article  Google Scholar 

  40. Sang, S., Lee, J.-D., Lee, J.: E-government adoption in ASEAN: the case of Cambodia. Internet Research 19(5), 517–534 (2009)

    Article  Google Scholar 

  41. Taherdoost, H.: A review of technology acceptance and adoption models and theories. Procedia Manufact. 22, 960–967 (2018)

    Article  Google Scholar 

  42. Belanger, F., Hiller, J.S., Smith, W.J.: Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. J. Strateg. Inf. Syst. 11(3–4), 245–270 (2002)

    Article  Google Scholar 

  43. Lim, E.T., et al.: Advancing public trust relationships in electronic government: the Singapore e-filing journey. Inf. Syst. Res. 23(4), 1110–1130 (2012)

    Article  Google Scholar 

  44. Venkatesh, V., et al.: Managing citizens’ uncertainty in e-government services: the mediating and moderating roles of transparency and trust. Inf. Syst. Res. 27(1), 87–111 (2016)

    Article  Google Scholar 

  45. McKnight, D.H., Choudhury, V., Kacmar, C.: Developing and validating trust measures for e-commerce: an integrative typology. Inf. Syst. Res. 13(3), 334–359 (2002)

    Article  Google Scholar 

  46. Cassell, J.: Embodied Conversational Agents. MIT press, Cambridge (2000)

    Book  Google Scholar 

  47. Tickle-Degnen, L., Rosenthal, R.: The nature of rapport and its nonverbal correlates. Psychol. Inq. 1(4), 285–293 (1990)

    Article  Google Scholar 

  48. Wei-Ern, J.W.: Establishing Rapport with Conversational Agents: Comparing the Effect of Envelope and Emotional Feedback (2012)

    Google Scholar 

  49. DMGLabFudanUniversity. China Open Data Index (2019). http://ifopendata.fudan.edu.cn/method

  50. Atkinson, N.L.: Developing a questionnaire to measure perceived attributes of eHealth innovations. Am. J. Health Behav. 31(6), 612–621 (2007)

    Article  Google Scholar 

  51. Fajar Marta, R.: Open Government Data Portal Design Principles: Implementing Transparency, Privacy, and Information Quality Assurance by Design (2016)

    Google Scholar 

  52. SunlightFoundation: Ten Principles for Opening Up Government Information (2010)

    Google Scholar 

  53. Thorsby, J., et al.: Understanding the content and features of open data portals in American cities. Gov. Inf. Q. 34(1), 53–61 (2017)

    Article  Google Scholar 

  54. Bogdanović-Dinić, S., Veljković, N., Stoimenov, L.: How open are public government data? An assessment of seven open data portals. In: Rodríguez-Bolívar, M.P. (ed.) Measuring E-government Efficiency. PAIT, vol. 5, pp. 25–44. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-9982-4_3

    Chapter  Google Scholar 

  55. Ranjbartabar, H.: A virtual emotional freedom practitioner to deliver physical and emotional therapy (2016)

    Google Scholar 

  56. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. SSS. Springer, New York (2009). https://doi.org/10.1007/978-0-387-84858-7

    Book  MATH  Google Scholar 

  57. Jiawei Han, M., Pei, J.: Data Mining: Concepts and Techniques: Concepts and Techniques. Elsevier, Amsterdam (2011)

    MATH  Google Scholar 

  58. CNNIC: The 45th China Statistical Report on Internet Development (2020). CNNIC

    Google Scholar 

  59. Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951). https://doi.org/10.1007/BF02310555

    Article  MATH  Google Scholar 

  60. Tavakol, M., Dennick, R.: Making sense of Cronbach’s alpha. Int. J. Med. Educ. 2, 53 (2011)

    Article  Google Scholar 

  61. Bickmore, T., Cassell, J.: Social Dialongue with Embodied Conversational Agents. In: van Kuppevelt, J.C.J., Dybkjær, L., Bernsen, N.O. (eds.) Advances in Natural Multimodal Dialogue Systems Text, Speech and Language Technology, vol. 30, pp. 23–54. Springer, Dordrecht (2005). https://doi.org/10.1007/1-4020-3933-6_2

    Chapter  Google Scholar 

  62. Zuiderwijk, A., Janssen, M.: A coordination theory perspective to improve the use of open data in policy-making. In: Wimmer, M.A., Janssen, M., Scholl, H.J. (eds.) EGOV 2013. LNCS, vol. 8074, pp. 38–49. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40358-3_4

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Wuhan University, Wuhan, 430072, Hubei, China

    Di Wang & Chuanfu Chen

  2. Macquarie University, Sydney, NSW, 2109, Australia

    Di Wang, Deborah Richards & Ayse Aysin Bilgin

Authors
  1. Di Wang
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  2. Deborah Richards
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  3. Ayse Aysin Bilgin
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  4. Chuanfu Chen
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Correspondence to Di Wang .

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Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Emi Ishita

  2. National University of Singapore, Singapore, Singapore

    Natalie Lee San Pang

  3. Wuhan University, Wuhan, China

    Lihong Zhou

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Wang, D., Richards, D., Bilgin, A.A., Chen, C. (2020). A Predictive Model for Citizens’ Utilization of Open Government Data Portals. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-64452-9_14

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