34
Views
0
CrossRef citations to date
0
Altmetric
Case Report

A Chinese case to satisfy the patient journey: optimal service configuration for online health service platforms

, , & ORCID Icon

References

  • Amanah, D., Hurriyati, R., Gaffar, V., Layla, A., & Harahap, D. (2018). Effect of price and product completeness to consumer purchase decision at Tokopedia. com. (ed.). Proceedings of the 2nd Global Conference on Business, Management and Entrepreneurship 2017.
  • Analysys. (2018). 2018 China internet medical annual comprehensive analysis report
  • Azevedo, E. M., & Leshno, J. D. (2016). A supply and demand framework for two-sided matching markets. Journal of Political Economy, 124(5), 1235–1268.
  • Chang, H.-C., Wang, J.-H., & Chiu, C.-Y. (2007). Finding event-relevant content from the web using a near-duplicate detection approach. (ed.). Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI’07), Fremont, CA, USA.
  • Chang, C.-W., & Zhang, J. Z. (2016). The effects of channel experiences and direct marketing on customer retention in multichannel settings. Journal of Interactive Marketing, 36, 77–90. https://doi.org/10.1016/j.intmar.2016.05.002
  • Chase, D. (2016). 98% of Digital Health Startups Fail — Here’s Why. Retrieved June 11, 2021, from https://www.beckershospitalreview.com/healthcare-information-technology/98-of-digital-health-startups-fail-here-s-why.html
  • Chen, P.-Y., & Hitt, L. M. (2002). Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the online brokerage industry. Information Systems Research, 13(3), 255–274. https://doi.org/10.1287/isre.13.3.255.78
  • Christodoulides, G., & Michaelidou, N. (2010). Shopping motives as antecedents of e-satisfaction and e-loyalty. Journal of Marketing Management, 27(1–2), 181–197. https://doi.org/10.1080/0267257X.2010.489815
  • Daskivich, T. J., Houman, J., Fuller, G., Black, J. T., Kim, H. L., & Spiegel, B. (2017). Online physician ratings fail to predict actual performance on measures of quality, value, and peer review. Journal of the American Medical Informatics Association, 25(4), 401–407. https://doi.org/10.1093/jamia/ocx083
  • Delgosha, M. S., Saheb, T., & Hajiheydari, N. (2021). Modelling the asymmetrical relationships between digitalisation and sustainable competitiveness: A cross-country configurational analysis. Information Systems Frontiers, 23(5), 1317–1337. https://doi.org/10.1007/s10796-020-10029-0
  • Delmas, M. A., & Pekovic, S. (2018). Organizational configurations for sustainability and employee productivity: A qualitative comparative analysis approach. Business & Society, 57(1), 216–251. https://doi.org/10.1177/0007650317703648
  • Deng, Z., & Liu, S. (2017). Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites. International Journal of Medical Informatics, 105, 98–109. https://doi.org/10.1016/j.ijmedinf.2017.05.014
  • De Vries, L., Gensler, S., & Leeflang, P. S. (2017). Effects of traditional advertising and social messages on brand-building metrics and customer acquisition. Journal of Marketing, 81(5), 1–15. https://doi.org/10.1509/jm.15.0178
  • Du, H. S., Ke, X., He, W., Chu, S. K., & Wagner, C. (2019). Achieving mobile social media popularity to enhance customer acquisition: Cases from P2P lending firms. Internet Research, 29(6), 1386–1409. https://doi.org/10.1108/INTR-01-2018-0014
  • Fiss, P. C. (2007). A set-theoretic approach to organizational configurations. Academy of Management Review, 32(4), 1180–1198. https://doi.org/10.5465/amr.2007.26586092
  • Gao, W., Li, W., Fan, H., & Jia, X. (2021). How customer experience incongruence affects omnichannel customer retention: The moderating role of channel characteristics. Journal of Retailing and Consumer Services, 60, 102487. https://doi.org/10.1016/j.jretconser.2021.102487
  • Garrison, G., Kim, S., & Wakefield, R. L. (2012). Success factors for deploying cloud computing. Communications of the ACM, 55(9), 62–68. https://doi.org/10.1145/2330667.2330685
  • Gummerus, J. (2010). E‐services as resources in customer value creation: A service logic approach. Managing Service Quality: An International Journal, 20(5), 425–439. https://doi.org/10.1108/09604521011073722
  • Habibi, M. R. M., Mohammadabadi, F., Tabesh, H., Vakili-Arki, H., Abu-Hanna, A., & Eslami, S. (2019). Effect of an online appointment scheduling system on evaluation metrics of outpatient scheduling system: A before-after multicenterstudy. Journal of Medical Systems, 43(8), 1–9. https://doi.org/10.1007/s10916-019-1383-5
  • Hariyati, T. S., Kobayashi, N., Sahar, J., Nuraini, T., Solihin, J., & Sri, T. (2018). Simplicity and completeness of nursing process satisfaction using nursing management information system at the public health service “X” Indonesia. International Journal of Caring Sciences, 11(2), 1034.
  • Hill, C. W. (1988). Differentiation versus low cost or differentiation and low cost: A contingency framework. The Academy of Management Review, 13(3), 401–412. https://doi.org/10.2307/258088
  • Hock-Doepgen, M., Clauss, T., Kraus, S., & Cheng, C.-F. (2021). Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs. Journal of Business Research, 130, 683–697. https://doi.org/10.1016/j.jbusres.2019.12.001
  • Insights, F. B. (2019). Telemedicine market: Global market analysis, insights and forecast, 2019-2026. https://www.fortunebusinessinsights.com/industry-reports/telemedicine-market-101067
  • iResearch. (2016). China online medical industry data monitoring report in 2016. (https://www.iresearch.com.cn/Detail/report?id=2551&isfree=0
  • Jaiswal, A. K., Niraj, R., Park, C. H., & Agarwal, M. K. (2018). The effect of relationship and transactional characteristics on customer retention in emerging online markets. Journal of Business Research, 92, 25–35. https://doi.org/10.1016/j.jbusres.2018.07.007
  • Jiang, P., & Rosenbloom, B. (2005). Customer intention to return online: Price perception, attribute‐level performance, and satisfaction unfolding over time. European Journal of Marketing, 39(1/2), 150–174. https://doi.org/10.1108/03090560510572061
  • Khalifa, M., & Liu, V. (2007). Online consumer retention: Contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780–792. https://doi.org/10.1057/palgrave.ejis.3000711
  • Kim, G., Shin, B., & Lee, H. G. (2006). Dynamics of portal email switching: Attractive alternatives and switching costs. (ed.). PACIS 2006 Proceedings, Kuala Lumpur, Malaysia.
  • Kohlborn, T. (2014). Quality assessment of service bundles for governmental one-stop portals: A literature review. Government Information Quarterly, 31(2), 221–228. https://doi.org/10.1016/j.giq.2013.10.006
  • Kuan, H.-H., Bock, G.-W., & Vathanophas, V. (2008). Comparing the effects of website quality on customer initial purchase and continued purchase at e-commerce websites. Behaviour & Information Technology, 27(1), 3–16. https://doi.org/10.1080/01449290600801959
  • Kumar, V., & Pansari, A. (2016). Competitive advantage through engagement. Journal of Marketing Research, 53(4), 497–514. https://doi.org/10.1509/jmr.15.0044
  • Laud, G., Bove, L., Ranaweera, C., Leo, W. W. C., Sweeney, J., & Smith, S. (2019). Value co-destruction: A typology of resource misintegration manifestations. Journal of Services Marketing, 33(7), 866–889. https://doi.org/10.1108/JSM-01-2019-0022
  • Lee, C. K. H. (2022). How guest-host interactions affect consumer experiences in the sharing economy: New evidence from a configurational analysis based on consumer reviews. Decision Support Systems, 152, 113634. https://doi.org/10.1016/j.dss.2021.113634
  • Lee, S. S. (2014). Using fuzzy-set qualitative comparative analysis. Epidemiology and Health, 36, e2014038. https://doi.org/10.4178/epih/e2014038
  • Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
  • Liang, C.-J., Chen, H.-J., & Wang, W.-H. (2008). Does online relationship marketing enhance customer retention and cross-buying? The Service Industries Journal, 28(6), 769–787. https://doi.org/10.1080/02642060801988910
  • Libert, T. (2015). Privacy implications of health information seeking on the web. Communications of the ACM, 58(3), 68–77. https://doi.org/10.1145/2658983
  • Liddy, C., Joschko, J., Guglani, S., Afkham, A., & Keely, E. (2019). Improving equity of access through electronic consultation: A case study of an econsult service. Frontiers in Public Health, 7, 279. https://doi.org/10.3389/fpubh.2019.00279
  • Liddy, C., Moroz, I., Keely, E., Taljaard, M., Mark Fraser, A., Deri Armstrong, C., Afkham, A., & Kendall, C. (2018). The use of electronic consultations is associated with lower specialist referral rates: A cross-sectional study using population-based health administrative data. Family Practice, 35(6), 698–705. https://doi.org/10.1093/fampra/cmy020
  • Li, J., Liu, M., Liu, X., & Ma, L. (2018). Why and when do patients use e-consultation services? The trust and resource supplementary perspectives. Telemedicine and E-Health, 24(1), 77–85. https://doi.org/10.1089/tmj.2016.0268
  • Li, Y., Song, Y., Zhao, W., Guo, X., Ju, X., & Vogel, D. (2019). Exploring the role of online health community information in patients’ decisions to switch from online to offline medical services. International Journal of Medical Informatics, 130, 103951. https://doi.org/10.1016/j.ijmedinf.2019.08.011
  • Li, J., Tang, J., Jiang, L., Yen, D. C., & Liu, X. (2019). Economic success of physicians in the online consultation market: A signaling theory perspective. International Journal of Electronic Commerce, 23(2), 244–271. https://doi.org/10.1080/10864415.2018.1564552
  • Liu, X., Guo, X., Wu, H., & Wu, T. (2016). The impact of individual and organizational reputation on physicians’ appointments online. International Journal of Electronic Commerce, 20(4), 551–577. https://doi.org/10.1080/10864415.2016.1171977
  • Li, J., Yu, K., Bao, X., Liu, X., & Yao, J. (2021). Patterns of eHealth website user engagement based on cross-site clickstream data: Correlational study. Journal of Medical Internet Research, 23(8), e29299. https://doi.org/10.2196/29299
  • Lu, S. F., & Rui, H. (2018). Can we trust online physician ratings? Evidence from cardiac surgeons in Florida. Management Science, 64(6), 2557–2573. https://doi.org/10.1287/mnsc.2017.2741
  • Mello, P. A. (2012). A critical review of applications in QCA and fuzzy-set analysis and a’toolbox’of proven solutions to frequently encountered problems. (ed.). American Political Science Association (APSA) 2012 Annual Meeting, New Orleans.
  • Nam, S., Manchanda, P., & Chintagunta, P. K. (2010). The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Science, 29(4), 690–700. https://doi.org/10.1287/mksc.1090.0550
  • Nijland, N., van Gemert-Pijnen, J. E., Boer, H., Steehouder, M. F., & Seydel, E. R. (2009). Increasing the use of e-consultation in primary care: Results of an online survey among non-users of e-consultation. International Journal of Medical Informatics, 78(10), 688–703. https://doi.org/10.1016/j.ijmedinf.2009.06.002
  • Noe, T., & Parker, G. (2005). Winner take all: Competition, strategy, and the structure of returns in the internet economy. Journal of Economics & Management Strategy, 14(1), 141–164. https://doi.org/10.1111/j.1430-9134.2005.00037.x
  • Ong, S. W., Kaushal, A., Pariser, P., & Chan, C. T. (2019). An integrated kidney care eConsult practice model: Results from the iKinect project. American Journal of Nephrology, 50(4), 262–271. https://doi.org/10.1159/000502602
  • Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set qualitative comparative analysis (fsQCA): Guidelines for research practice in information systems and marketing. International Journal of Information Management, 58, 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310
  • Paré, G., Trudel, M.-C., & Forget, P. (2014). Adoption, use, and impact of e-booking in private medical practices: Mixed-methods evaluation of a two-year showcase project in Canada. JMIR Medical Informatics, 2(2), e3669. https://doi.org/10.2196/medinform.3669
  • Piccoli, G., Brohman, M. K., Watson, R. T., & Parasuraman, A. (2009). Process completeness: Strategies for aligning service systems with customers’ service needs. Business Horizons, 52(4), 367–376. https://doi.org/10.1016/j.bushor.2009.03.001
  • Polites, G. L., & Karahanna, E. (2012). Shackled to the status quo: The inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 36(1), 21–42. https://doi.org/10.2307/41410404
  • Ponsignon, F., Smart, A., & Phillips, L. (2018). A customer journey perspective on service delivery system design: Insights from healthcare. International Journal of Quality & Reliability Management, 35(10), 2328–2347. https://doi.org/10.1108/IJQRM-03-2018-0073
  • Powell, J., Inglis, N., Ronnie, J., & Large, S. (2011). The characteristics and motivations of online health information seekers: Cross-sectional survey and qualitative interview study. Journal of Medical Internet Research, 13(1), e20. https://doi.org/10.2196/jmir.1600
  • Qi, M., Cui, J., Li, X., & Han, Y. (2021). Perceived factors influencing the public intention to use E-Consultation: Analysis of web-based survey data. Journal of Medical Internet Research, 23(1), e21834. https://doi.org/10.2196/21834
  • Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.
  • Ragin, C. C., & Fiss, P. (2008). Net effects analysis versus configurational analysis: An empirical demonstration (redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.
  • Reinartz, W., Thomas, J. S., & Kumar, V. (2005). Balancing acquisition and retention resources to maximize customer profitability. Journal of Marketing, 69(1), 63–79. https://doi.org/10.1509/jmkg.69.1.63.55511
  • Robertson, N., Polonsky, M., & McQuilken, L. (2014). Are my symptoms serious Dr Google? A resource-based typology of value co-destruction in online self-diagnosis. Australasian Marketing Journal (AMJ), 22(3), 246–256. https://doi.org/10.1016/j.ausmj.2014.08.009
  • Saifee, D. H., Zheng, Z., Bardhan, I. R., & Lahiri, A. (2020). Are online reviews of physicians reliable indicators of clinical outcomes? A focus on chronic disease management. Information Systems Research, 31(4), 1282–1300. https://doi.org/10.1287/isre.2020.0945
  • Santos, S., & Gonçalves, H. M. (2019). Multichannel consumer behaviors in the mobile environment: Using fsQCA and discriminant analysis to understand webrooming motivations. Journal of Business Research, 101, 757–766. https://doi.org/10.1016/j.jbusres.2018.12.069
  • Schmitt, A. K., Grawe, A., & Woodside, A. G. (2017). Illustrating the power of fsQCA in explaining paradoxical consumer environmental orientations. Psychology & Marketing, 34(3), 323–334. https://doi.org/10.1002/mar.20991
  • Schneider, J. A., & Holland, C. P. (2017). eHealth search patterns: A comparison of private and public health care markets using online panel data. Journal of Medical Internet Research, 19(4), e117. https://doi.org/10.2196/jmir.6739
  • Sehring, J., Korhonen-Kurki, K., & Brockhaus, M. (2013). Challenges and limitations of QCA. http://www.jstor.org/stable/resrep02339.8
  • Shen, Z., & Su, J. (2007). On completeness of web service compositions. (ed.). IEEE International Conference on Web Services (ICWS 2007).
  • Shukla, A. D., Gao, G., & Agarwal, R. (2021). How digital word-of-mouth affects consumer decision making: Evidence from doctor appointment booking. Management Science, 67(3), 1546–1568. https://doi.org/10.1287/mnsc.2020.3604
  • Singer, M., & Donoso, P. (2008). Upstream or downstream in the value chain? Journal of Business Research, 61(6), 669–677. https://doi.org/10.1016/j.jbusres.2007.06.043
  • Tsai, W.-T., Wei, X., Chen, Y., & Paul, R. (2005). A robust testing framework for verifying web services by completeness and consistency analysis. (ed.). IEEE International Workshop on Service-Oriented System Engineering (SOSE’05).
  • Villanueva, J., Yoo, S., & Hanssens, D. M. (2008). The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth. Journal of Marketing Research, 45(1), 48–59. https://doi.org/10.1509/jmkr.45.1.48
  • Voss, G. B., & Voss, Z. G. (2008). Competitive density and the customer acquisition–retention trade-off. Journal of Marketing, 72(6), 3–18. https://doi.org/10.1509/jmkg.72.6.003
  • Wang, H., Ye, J., Tarin, M. W. K., Liu, Y., & Zheng, Y. (2022). Tourists’ safety perception clues in the urban forest environment: Visual quality, facility completeness, accessibility—a case study of urban forests in Fuzhou, China. International Journal of Environmental Research and Public Health, 19(3), 1293. https://doi.org/10.3390/ijerph19031293
  • Wu, H., Deng, Z., Wang, B., & Wang, H. (2021). How online health community participation affects physicians’ performance in hospitals: Empirical evidence from China. Information & Management, 103443(6), 103443. https://doi.org/10.1016/j.im.2021.103443
  • Wu, H., & Lu, N. (2017). Online written consultation, telephone consultation and offline appointment: An examination of the channel effect in online health communities. International Journal of Medical Informatics, 107, 107–119. https://doi.org/10.1016/j.ijmedinf.2017.08.009
  • Xiong, P., Fan, Y., & Zhou, M. (2009). Web service configuration under multiple quality-of-service attributes. IEEE Transactions on Automation Science and Engineering, 6(2), 311–321. https://doi.org/10.1109/TASE.2008.2009103
  • Yang, Z. (2021). Everything You Need to Know About the WeDoctor IPO. Retrieved September 15, 2023, from https://www.protocol.com/wedoctor-ipo
  • Ye, Q., Deng, Z., Chen, Y., Liao, J., Li, G., & Lu, Y. (2019). How resource scarcity and accessibility affect patients’ usage of mobile health in China: Resource competition perspective. JMIR MHealth and UHealth, 7(8), e13491. https://doi.org/10.2196/13491
  • You, Y., & Joshi, A. M. (2020). The impact of user-generated content and traditional media on customer acquisition and retention. Journal of Advertising, 49(3), 213–233. https://doi.org/10.1080/00913367.2020.1740631
  • Zhao, X., Fan, J., Basnyat, I., & Hu, B. (2020). Online health information seeking using “# COVID-19 patient seeking help” on Weibo in Wuhan, China: Descriptive study. Journal of Medical Internet Research, 22(10), e22910. https://doi.org/10.2196/22910

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.