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Factors Affecting Users’ Loyalty to Earthquake Early Warning Technology - An Example of Earthquake Early Warning App

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Book cover Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13314))

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Abstract

This research has conducted an investigation of users’ loyalty to earthquake early warning technology with the purpose of describing how different factors affect users’ loyalty. This research is aimed at establishing a human-computer model of users’ loyalty aforementioned with the example of an application (hereinafter referred to as APP) named “Earthquake Early Warning”. Respondents (n = 332) were required to assess their loyalty to the APP in the research. Their answers which shall be analyzed are related to social stimuli, perceived usefulness, users’ satisfaction and frequency of use so as to make sure influences of these factors on loyalty of respondents. The result has shown that influences of these factors on users’ loyalty are various. The research suggests that social stimuli positively affect perceived usefulness which positively affects satisfaction and loyalty, and satisfaction and frequency of use positively affect loyalty. This investigation has emphasized the significance of taking into consideration different factors of users’ loyalty in terms of earthquake early warning technology. Hence, this research has put forward a framework to assist relevant staff to enhance users’ loyalty to earthquake early warning technology in different aspects and help users take right responses to a coming earthquake as soon as possible in order to maximize the effect of earthquake early warning technology and minimize casualties and economic losses.

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References

  1. Colombelli, S., Carotenuto, F., Elia, L., Zollo, A.: Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy. Nat. Hazard. 20(4), 921–931 (2020). https://doi.org/10.5194/nhess-20-921-2020

    Article  Google Scholar 

  2. Cremen, G., Galasso, C.: Earthquake early warning: recent advances and perspectives. Earth Sci. Rev. 205, 103184 (2020). https://doi.org/10.1016/j.earscirev.2020.103184

    Article  Google Scholar 

  3. Finazzi, F.: The earthquake network project: a platform for earthquake early warning, rapid impact assessment, and search and rescue Front. Earth Sci. 8 (2020).https://doi.org/10.3389/feart.2020.00243

  4. Jinkai, L.: Discussion and solutions of two main Problems restricting the development of earthquake early warning technology in China. South China Earthq. 37(03), 90–97 (2017)

    Google Scholar 

  5. Oliver, R.L.: Whence consumer loyalty? J. Mark. 63, 33 (1999). https://doi.org/10.2307/1252099

    Article  Google Scholar 

  6. Zeithaml, V.A., Berry, L.L., Parasuraman, A.: The behavioral consequences of service quality. J. Mark. 60(2), 31 (1996). https://doi.org/10.2307/1251929

    Article  Google Scholar 

  7. Bowen, J.T., Chen, S.: The relationship between customer loyalty and customer satisfaction. Int. J. Contemp. Hosp. Manag. 13(5), 213–217 (2001). https://doi.org/10.1108/09596110110395893

    Article  Google Scholar 

  8. Zins, A.H.: Relative attitudes and commitment in customer loyalty models. Int. J. Serv. Ind. Manag. 12(3), 269–294 (2001). https://doi.org/10.1108/eum0000000005521

    Article  Google Scholar 

  9. Davis-Sramek, B., Mentzer, J.T., Stank, T.P.: Creating consumer durable retailer customer loyalty through order fulfillment service operations. J. Oper. Manage. 26(6), 781–797 (2007).https://doi.org/10.1016/j.jom.2007.07.001

  10. Chen, C., Chen, S., Lee, H., Tsai, T.: Exploring destination resources and competitiveness–a comparative analysis of tourists’ perceptions and satisfaction toward an island of Taiwan. Ocean Coast. Manag. 119, 58–67 (2016). https://doi.org/10.1016/j.ocecoaman.2015.09.013

    Article  Google Scholar 

  11. Cho, J.: The impact of post-adoption beliefs on the continued use of health apps. Int. J. Med. Inform. 87, 75–83 (2016). https://doi.org/10.1016/j.ijmedinf.2015.12.016

    Article  Google Scholar 

  12. Oravec, G.J., Artino, A.R., Hickey, P.W.: Active-duty physicians’ perceptions and satisfaction with humanitarian assistance and disaster relief missions: Implications for the Field. PLoS One 8(3) (2013). https://doi.org/10.1371/journal.pone.0057814

  13. Lee, H.-S., Shepley, M., Huang, C.-S.: Evaluation of off-leash dog parks in Texas and Florida: a study of use patterns, user satisfaction, and perception. Landsc. Urban Plan. 92(3–4), 314–324 (2009). https://doi.org/10.1016/j.landurbplan.2009.05.015

    Article  Google Scholar 

  14. Delpla, I., Legay, C., Proulx, F., Rodriguez, M.J.: Perception of tap water quality: assessment of the factors modifying the links between satisfaction and water consumption behavior. Sci. Total Environ. 722, 137786 (2020). https://doi.org/10.1016/j.scitotenv.2020.137786

    Article  Google Scholar 

  15. Jose, J., Shukili, M.N.A., Jimmy, B.: Public’s perception and satisfaction on the roles and services provided by pharmacists – cross sectional survey in Sultanate of Oman. Saudi Pharmaceut. J. 23(6), 635–641 (2015). https://doi.org/10.1016/j.jsps.2015.02.003

    Article  Google Scholar 

  16. Gerstenberg, T., Hofmann, M.: Perception and preference of trees: a psychological contribution to tree species selection in urban areas. Urban Forestr. Urban Greening 15, 103–111 (2016). https://doi.org/10.1016/j.ufug.2015.12.004

    Article  Google Scholar 

  17. Deng, L., Cai, L., Sun, F., Li, G., Che, Y.: Public attitudes towards microplastics: perceptions, behaviors and policy implications. Resour. Conserv. Recycl. 163, 105096 (2020). https://doi.org/10.1016/j.resconrec.2020.105096

    Article  Google Scholar 

  18. Park, J., et al.: Analysis on public perception, user-satisfaction, and publicity for WEEE collecting system in South Korea: a case study for Door-to-Door Service. Resour. Conserv. Recycl. 144, 90–99 (2019). https://doi.org/10.1016/j.resconrec.2019.01.018

    Article  Google Scholar 

  19. Attwood, S., Parke, H., Larsen, J., Morton, K.L.: Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 17(1) (2017). https://doi.org/10.1186/s12889-017-4358-9

  20. Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Informat. Manage. 40(3), 191–204 (2003). https://doi.org/10.1016/s0378-7206(01)00143-4

    Article  Google Scholar 

  21. Kwee-Meier, S.T., Wiessmann, M., Mertens, A.: Integrated Information Visualization and Usability of User Interfaces for Safety-Critical Contexts. Lecture Notes in Computer Science, pp. 71–85 (2017). https://doi.org/10.1007/978-3-319-58475-1_6

  22. Tan, M.L., Prasanna, R., Stock, K., Doyle, E.E., Leonard, G., Johnston, D.: Understanding end-users’ perspectives: towards developing usability guidelines for disaster apps. Progress Disas. Sci. 7, 100118 (2020). https://doi.org/10.1016/j.pdisas.2020.100118

    Article  Google Scholar 

  23. Reuter, C., Kaufhold, M.-A., Spielhofer, T., Hahne, A.S.: Social media in emergencies. In: Proceedings of the ACM on Human-Computer Interaction, vol. 1(CSCW), pp. 1–19 (2017). https://doi.org/10.1145/3134725

  24. Sarshar, P., Nunavath, V., Radianti, J.: On the usability of smartphone apps in emergencies. In: Kurosu, M. (ed.) HCI 2015. LNCS, vol. 9170, pp. 765–774. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20916-6_70

    Chapter  Google Scholar 

  25. Nguyen-Phuoc, D.Q., Su, D.N., Tran, P.T., Le, D.T., Johnson, L.W.: Factors influencing customer’s loyalty towards ride-hailing taxi services – a case study of Vietnam. Transp. Res. Part A: Policy Pract. 134, 96–112 (2020). https://doi.org/10.1016/j.tra.2020.02.008

    Article  Google Scholar 

  26. Kopel, D.E., Sims, V.K., Chin, M.G.: Taking emergency warnings seriously. Proceed. Hum. Fact. Ergonom. Soc. Ann. Meet. 58(1), 1129–1133 (2014). https://doi.org/10.1177/1541931214581236

    Article  Google Scholar 

  27. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319 (1989). https://doi.org/10.2307/249008

    Article  Google Scholar 

  28. Tarute, A., Nikou, S., Gatautis, R.: Mobile application driven consumer engagement. Telematics Inform. 34(4), 145–156 (2017). https://doi.org/10.1016/j.tele.2017.01.006

    Article  Google Scholar 

  29. Ozturk, A.B., Nusair, K., Okumus, F., Hua, N.: The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. Int. J. Hosp. Manag. 57, 106–115 (2016). https://doi.org/10.1016/j.ijhm.2016.06.007

    Article  Google Scholar 

  30. Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model. MIS Q. 25(3), 351 (2001). https://doi.org/10.2307/3250921

    Article  Google Scholar 

  31. Lin, H.-H., Wang, Y.-S.: An examination of the determinants of customer loyalty in mobile commerce contexts. Inform. Manage. 43(3), 271–282 (2006). https://doi.org/10.1016/j.im.2005.08.001

    Article  Google Scholar 

  32. Oliver, R.L.: A cognitive model of the antecedents and consequences of satisfaction decisions. J. Mark. Res. 17(4), 460 (1980). https://doi.org/10.2307/3150499

    Article  Google Scholar 

  33. Cronin, J.J., Taylor, S.A.: Measuring service quality: a reexamination and extension. J. Mark. 56(3), 55 (1992). https://doi.org/10.2307/1252296

    Article  Google Scholar 

  34. Fornell, C.: A national customer satisfaction barometer: the swedish experience. J. Mark. 56(1), 6 (1992). https://doi.org/10.2307/1252129

    Article  Google Scholar 

  35. Hellier, P.K., Geursen, G.M., Carr, R.A., Rickard, J.A.: Customer repurchase intention. Eur. J. Mark. 37(11/12), 1762–1800 (2003). https://doi.org/10.1108/03090560310495456

    Article  Google Scholar 

  36. Eisinga, R., te Grotenhuis, M., Pelzer, B.: The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? Int. J. Public Health 58(4), 637–642 (2012). https://doi.org/10.1007/s00038-012-0416-3

    Article  Google Scholar 

  37. Sun, D.: Selection of the linear regression model according to the parameter estimation. Wuhan Univ. J. Nat. Sci. 5(4), 400–405 (2000). https://doi.org/10.1007/bf02850764

    Article  MathSciNet  MATH  Google Scholar 

  38. Macherera, M., Chimbari, M.J.: A review of studies on community based early warning systems. Jàmbá: J. Dis. Risk Stud. 8(1) (2016). https://doi.org/10.4102/jamba.v8i1.206

  39. Baudoin, M.-A., Henly-Shepard, S., Fernando, N., Sitati, A., Zommers, Z.: From top-down to “community-centric” approaches to early warning systems: exploring pathways to improve disaster risk reduction through community participation. Int. J. Dis. Risk Sci. 7(2), 163–174 (2016).https://doi.org/10.1007/s13753-016-0085-6

  40. Strahan, E.J.: Enhancing the effectiveness of tobacco package warning labels: a social psychological perspective. Tob. Control 11(3), 183–190 (2002). https://doi.org/10.1136/tc.11.3.183

    Article  Google Scholar 

  41. Sendai Framework for Disaster Risk Reduction 2015–2030. (n.d.). Human Rights Documents Online. https://doi.org/10.1163/2210-7975_hrd-9813-2015016

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Authors and Affiliations

  1. School of Design, Hunan University - Hunan University, Yuelushan, Changsha, 410082, Hunan, People’s Republic of China

    Lili Liu, Aile Wang, Yimin Chen, Dongdong Guo & Hao Tan

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  1. Lili Liu
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  2. Aile Wang
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  3. Yimin Chen
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  4. Dongdong Guo
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  5. Hao Tan
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Correspondence to Hao Tan .

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  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Liu, L., Wang, A., Chen, Y., Guo, D., Tan, H. (2022). Factors Affecting Users’ Loyalty to Earthquake Early Warning Technology - An Example of Earthquake Early Warning App. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_27

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  • DOI: https://doi.org/10.1007/978-3-031-06053-3_27

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