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Research on Cross-channel Switch Behavior of Users from Smart Government APP to Government Service Platform Under PPM Framework

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Distributed, Ambient and Pervasive Interactions (HCII 2021)

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Abstract

Based on the Resource Dependence Theory and Network Externality Theory, this paper discusses the influencing factors and mechanism of users’ switch from smart government apps on mobile to government service platform on computer. A conceptual model of switch behaviors was constructed by the PPM framework (Push-Pull-Mooring, push-pull-anchor). So as to provide inspiration for exploring the trend of smart government and assisting the integration and utilization of government digital resources.

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References

  1. Party School of the Central Committee of C. P. C (China National School of Administration). Mobile Government Service Development Report. https://www.gov.cn/guowuyuan/2019-07/22/content_5412804.htm. Accessed 30 Dec 2020

  2. Tian, L., Guochao, P., Fei, X.: Research on the status and problems of mobile application of smart city in China. Libr. Inf. Serv. 63(08), 65–73 (2019)

    Google Scholar 

  3. China Internet Network Information Center. The 46th Statistical Report on Internet Development in China [EB/OL]. https://www.cac.gov.cn/2020-09/29/c_1602939918747816.htm

  4. Lemke, F., Taveter, K., Erlenheim, R., Pappel, I., Draheim, D., Janssen, M.: Stage models for moving from e-government to smart government. In: Chugunov, A., Khodachek, I., Misnikov, Y., Trutnev, D. (eds.) EGOSE 2019. CCIS, vol. 1135, pp. 152–164. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39296-3_12

    Chapter  Google Scholar 

  5. Shola, S., Naaz, R., Chishti, M.A.: Ethics aware object oriented smart city architecture. China Commun. 14(5), 160–173 (2017)

    Google Scholar 

  6. Kalsi, N.S., Kiran, R.: A strategic framework for good governance through e-governance optimization. Program Electron. Libr. Inf. Syst. 49(2), 170–204 (2015)

    Google Scholar 

  7. Lv, Z.H., Li, X.M., Wang, W.X., et al.: Government affairs service platform for smart city. Future Gener. Comput. Syst. Int. J. EScience 81, 443–451 (2018)

    Google Scholar 

  8. Manda, M.: Towards “smart governance” through a multidisciplinary approach to e-government integration, interoperability and information sharing: a case of the LMIP project in South Africa. In: Janssen, Marijn, et al. (eds.) EGOV 2017. LNCS, vol. 10428, pp. 36–44. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64677-0_4

    Chapter  Google Scholar 

  9. Chang, I., Liu, C.C., Chen, K.: The push, pull and mooring effects in virtual migration for social networking sites. Inf. Syst. J. 24(4), 323–346 (2014)

    Google Scholar 

  10. Chen, M., Qi, X., Lu, X., et al.: Understanding users’ searching behavior switching from PC to mobile. From a dual perspective of enablers and inhibitors. Procedia Comput. Sci. 162, 355–360 (2019)

    Google Scholar 

  11. Chiang, H.S., Chen, C.C.: Exploring switch intention of users’ reading behaviour an e-book reader case study. Electron. Libr. 32(4), 457–434 (2014)

    Google Scholar 

  12. Chen, Y.-H., Keng, C.-J.: Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform. Internet Res. 29(1), 167–193 (2019)

    Google Scholar 

  13. Cheng, S., Lee, S.-J., Choi, B.: An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Comput. Hum. Behav. 92, 198–215 (2019)

    Google Scholar 

  14. Wang, L., (Robert) Luo, X., Yang, X., Qiao, Z.: Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications. Inf. Manage. 56(7), 103–150 (2019)

    Google Scholar 

  15. (Chris) Zhao, Y., Liu, Z., Chen, S., et al.: From free to fee: exploring the factors that influence the askers’ switching behavior on online Q&A platforms. Proc. Assoc. Inf. Sci. Technol. 56(1), 517–520 (2019)

    Google Scholar 

  16. Lin, C.N., Wang, H.Y.: Understanding users’ switching intentions and switching behavior on social networking sites. Aslib J. Inf. Manage. 69(02), 201–214 (2017)

    Google Scholar 

  17. : The influence of relationship benefit perception on relation immersion and switch intention. Korean J. Sports Sci. 24(6), 701–716 (2015)

    Google Scholar 

  18. : The effect of medical tourism destination image on revisit and switch intention. Focused on medical service quality mediation effect. J. Tour. Leisure Res. 31(9), 173–195 (2019)

    Google Scholar 

  19. Gong, X., Zhang, K.Z., Chen, C., Cheung, C.M., Lee, M.K.: What drives trust switch from web to mobile payment services? The dual effects of perceived entitativity. Inf. Manage. 57(7), 103–250 (2020)

    Google Scholar 

  20. Kang, A.S., Jayaraman, K., Soh, K.L., et al.: Convenience, flexible service, and commute impedance as the predictors of drivers’ intention to switch and behavioral readiness to use public transport. Transp. Res. Part F Psychol. Behav. 62, 505–519 (2019)

    Google Scholar 

  21. Cao, X.F., Yu, L.L., Liu, Z.Y., Gong, M.C., Adeel, L.: Understanding mobile payment users’ continuance intention: a trust switch perspective. Internet Res. 28(2), 456–476 (2018)

    Google Scholar 

  22. Cao, Y., Lu, Y., Gupta, S., et al.: The effects of differences between e-commerce and m-commerce on the consumers’ usage switch from online to mobile channel. Int. J. Mob. Commun. 13(1), 51–70 (2015)

    Article  Google Scholar 

  23. Lee, E.S.: A theory of migration. Demography 3(1), 47–57 (1966)

    Google Scholar 

  24. Moon, B.: Paradigms in migration research: exploring “Moorings” as a schema. Prog. Hum. Geogr. 19(4), 504–524 (1995)

    Article  Google Scholar 

  25. Bansal, H.S., Taylor, S.F., James, Y.S.: “Migrating” to new service providers: toward a unifying framework of consumers’ switching behaviors. J. Acad. Market. Sci. 33(1), 96–115 (2005)

    Google Scholar 

  26. Oliver, R.L.: A cognitive model of the antecedents and consequences of satisfaction decisions. J. Market. Res. 17(4), 460–469 (1980)

    Google Scholar 

  27. Fan, L., Suh, Y.-H.: Why do users switch to a disruptive technology? An empirical study based on expectation-disconfirmation theory. Inf. Manage. 51(2), 240–248 (2014)

    Google Scholar 

  28. Katz, M.L., Shapiro, C.: Network externalities, competition, and compatibility. Am. Econ. Rev. 75(3), 424–440 (1985)

    Google Scholar 

  29. Lin, C.P., Bhattacherjee, A.: Elucidating individual intention to use interactive information technologies: the role of network externalities. Int. J. Electron. Commer. 13(1), 85–108 (2008)

    Google Scholar 

  30. Zhou, T., Lu, Y.: Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Comput. Hum. Behav. 27(2), 883–889 (2010)

    Google Scholar 

  31. Lin, T.-C., Huang, S.-L.: Understanding the determinants of consumers’ switching intentions in a standards war. Int. J. Electron. Commer. 19(1), 163–189 (2014)

    Google Scholar 

  32. Ozturk, O.: Bibliometric review of resource dependence theory literature: an overview. Manage. Rev. Q. 1–28 (2020)

    Google Scholar 

  33. Bhattacherjee, A., Limayem, M., Cheung, C.M.K.: User switching of information technology: a theoretical synthesis and empirical test. Inf. Manage. 49(7), 327–333 (2012)

    Google Scholar 

  34. Jones, M.A., Mothersbaugh, D.L., Beatty, S.E.: Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. J. Bus. Res. 55(6), 441–450 (2002)

    Google Scholar 

  35. Venkatsh, V., Speier, C., Morris, M.G.: User acceptance enablers in individual decision making about technology: toward an integrated model. Decis. Sci. 33(2), 297–316 (2002)

    Google Scholar 

  36. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

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Acknowledgement

This research was supported by two grants respectively funded by the Natural Science Foundation of Guangdong (No.: 2018A030313706) and the National Natural Science Foundation of China (No.: 71974215).

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Authors and Affiliations

  1. Sun Yat-sen University, Panyu District, Guangzhou, 510000, China

    Siyuan Wu, Yuwen Wang & Guochao Peng

Authors
  1. Siyuan Wu
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  2. Yuwen Wang
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  3. Guochao Peng
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Corresponding author

Correspondence to Guochao Peng .

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Editors and Affiliations

  1. Smart Future Initiative, Frankfurt, Germany

    Norbert Streitz

  2. Faculty of Arts and Science, Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Wu, S., Wang, Y., Peng, G. (2021). Research on Cross-channel Switch Behavior of Users from Smart Government APP to Government Service Platform Under PPM Framework. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2021. Lecture Notes in Computer Science(), vol 12782. Springer, Cham. https://doi.org/10.1007/978-3-030-77015-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-77015-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77014-3

  • Online ISBN: 978-3-030-77015-0

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