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8369Mobile medical Apps help customers to engage in their own healthcare management activities. Customers can make full use of mobile medical Apps to get involved anytime and anywhere and to constantly manage their healthcare activities. However, customer loyalty to mobile medical Apps is pretty low, and customers do not use such Apps very frequently. So we are addressing the following research questions: （1）what factors on the App platforms will affect customer offline value co-creation activities? （2）how to promote the role of mobile medical Apps in offline health care management activities more effectively? （3）how to keep the mobile medical Apps stickiness（that is the customers’ long-term intentions to use mobile medical Apps）? This paper explores the effect of customer online interactions（interpersonal interaction and App platform interaction）on customer offline healthcare management activities, and then how customer healthcare knowledge and perceived disease criticality can enhance or hinder the effect of these two customer online interactions on customer healthcare management activities, which leads to customers’ long-term intentions to use Apps. Specifically, a mobile medical App provides doctors and patients with a platform for online communication and interactions. On the platform, interpersonal interactions between patients, and between patients and doctors are being carried out. At the same time, the characteristics of App design also become important factors affecting customers’ dependence and use on the platform（App platform interaction）. These two types of interaction are customer online interactions that become the important components of the mobile medical App interactions. According to locus of control theory, these two kinds of interaction can enhance intrinsic and extrinsic motivation and then lead to active offline healthcare management activities（offline value co-creation）. Customer healthcare knowledge （internal control） and perceived disease criticality （external control） influence the relationship between the two types of customer online interactions and the customer offline healthcare management activities（offline value co-creation）. Based on 195 users’ data from the mobile medical Apps, it shows that most of the hypotheses are supported. More specifically, social interaction and platform interaction enhance customer offline co-creation activities, which in turn lead to future App use intentions. Meantime, the role of online customer interactions in offline value co-creation activities depends on customer healthcare knowledge and perceived disease criticality. The contributions of this paper are mainly manifested in the following aspects: first of all, this paper enriches the research of value co-creation. There have been numerous studies investigating co-creation but separating online and offline co-creation respectively, and research on online co-creation has occurred more often in online community settings without discussing its role in offline co-creation. This paper incorporates online interactions and offline activities to explore how online customer interactions can affect offline healthcare management activities. Secondly, this paper adds nuance to healthcare management research. The extant literature on healthcare management mainly focuses on the following aspects: the exploration of the definition of value co-creation activities, the improvement of services quality and the relationship management between doctors and patients. It shows that many of the scholars have investigated offline healthcare management activities. At the same time, most of the studies on value co-creation are qualitative research. This paper empirically explores the mechanism of online and offline value co-creation in mobile medical Apps. Furthermore, this paper also explores customer interactions on the Apps, which complements the study of online interactions. Previous studies have mainly discussed the interactions in the online communities or social media, but have ignored the role of interactions in mobile Apps. This paper defines the App interaction and divides it into interpersonal interaction and App platform interaction, which incorporates online interaction and offline co-creation activities for the first time.
/ Journals / Foreign Economics & Management
Foreign Economics & Management
LiZengquan, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief
How Do Mobile Medical Apps Promote Offline Healthcare Management Activities Availably？
Foreign Economics & Management Vol. 40, Issue 02, pp. 138 - 152 (2018) DOI:10.16538/j.cnki.fem.2018.02.010
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References
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[1] Berry L L, Bendapudi N. Health care: A fertile field for service research[J]. Journal of Service Research, 2007, 10(2): 111-122.
[2] Bonner J M. Customer interactivity and new product performance: Moderating effects of product newness and product embeddedness[J]. Industrial Marketing Management, 2010, 39(3): 485-492.
[3] Chathoth P, Altinay L, Harrington R J, et al. Co-production versus co-creation: A process based continuum in the hotel service context[J]. International Journal of Hospitality Management, 2013, 32: 11-20.
[4] Chen Y B, Fay S, Wang Q. The role of marketing in social media: How online consumer reviews evolve[J]. Journal of Interactive Marketing, 2011, 25(2): 85-94.
[5] Dagger T S, Danaher P J, Sweeney J C, et al. Selective halo effects arising from improving the interpersonal skills of frontline employees[J]. Journal of Service Research, 2013, 16(4): 488-502.
[6] Dagger T S, Sweeney J C. The effect of service evaluations on behavioral intentions and quality of life[J]. Journal of Service Research, 2006, 9(1): 3-18.
[7] Damali U, Miller J L, Fredendall L D, et al. Co-creating value using customer training and education in a healthcare service design[J]. Journal of Operations Management, 2016, 47-48: 80-97.
[8] Deci E L. Intrinsic motivation[M]. New York: Plenum, 1975.
[9] Engström J, Elg M. A self-determination theory perspective on customer participation in service development[J]. Journal of Services Marketing, 2015, 29(6-7): 511-521.
[10] Fornell C, Larcker D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1): 39-50.
[11] Hair J F, Anderson R E, Tatham R L, et al. Multivariate data analysis[M]. Upper Saddle River, NJ: Prentice Hall, 1998.
[12] Hill S E, Prokosch M L, Delpriore D J. The impact of perceived disease threat on women's desire for novel dating and sexual partners: Is variety the best medicine?[J]. Journal of Personality and Social Psychology, 2015, 109(2): 244-261.
[13] JIA He, WANG Yonggui, HUANG Yongchun. Should Service Provider Educate Customers? – An Exploratory Study from the Perspective of the Influences of Customer Knowledge on Creativity Oriented Customer Participation and Customer Satisfaction [J]. Scientific Decision, 2009, 12: 54-62.
[14] Karademas E C, Bakouli A, Bastounis A, et al. Illness perceptions, illness-related problems, subjective health and the role of perceived primal threat: Preliminary findings[J]. Journal of Health Psychology, 2008, 13(8): 1021-1029.
[15] Karademas E C, Nikolaou P, Mermiga S, et al. Perceived primal threat, stress, and health: Further examination of the role of perceived primal threat in the stress process[J]. Journal of Psychology, 2013, 147(3): 261-276.
[16] Kasser V G, Ryan R M. The relation of psychological needs for autonomy and relatedness to vitality, well-being, and mortality in a nursing home[J]. Journal of Applied Social Psychology, 1999, 29(5): 935-954.
[17] Laroche M, Bergeron J, Goutaland C. How intangibility affects perceived risk: The moderating role of knowledge and involvement[J]. Journal of Services Marketing, 2003, 17(2): 122-140.
[18] Lefcourt H M. Internal versus external control of reinforcement: A review[J]. Psychological Bulletin, 1966, 65(4): 206-220.
[19] Levin D Z, Cross R. The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer[J]. Management Science, 2004, 50(11): 1477-1490.
[20] Li Lei, Zhao Xia, Jian Zhaoquan. How Does Human-computer Interaction Impact Customer Perceived Electronic Service Quality? An Empirical Research Based on 634 Samples of Guangdong and Guangxi Provinces [J]. Foreign Economics & Management, 2017, 39 (1): 96-113.
[21] Li Zhilan. A Literature Review of Customer-to-customer Interaction and Prospects [J]. Foreign Economics & Management, 2015, 37 (12): 73-85.
[22] Libai B, Bolton R, Bügel M S, et al. Customer-to-customer interactions: Broadening the scope of word of mouth research[J]. Journal of Service Research, 2010, 13(3): 267-282.
[23] Luo L, Toubia O. Improving online idea generation platforms and customizing the task structure on the basis of consumers' domain-specific knowledge[J]. Journal of Marketing, 2015, 79(5): 100-114.
[24] Lusch R F, Nambisan S. Service innovation: A service-dominant logic perspective[J]. MIS Quarterly, 2015, 39(1): 155-175.
[25] Makarem S C, Al-Amin M. Beyond the service process: The effects of organizational and market factors on customer perceptions of health care services[J]. Journal of Service Research, 2014, 17(4): 399-414.
[26] Mccoll-Kennedy J R, Sparks B A. Application of fairness theory to service failures and service recovery[J]. Journal of Service Research, 2003, 5(3): 251-266.
[27] Mccoll-Kennedy J R, Vargo S L, Dagger T S, et al. Health care customer value cocreation practice styles[J]. Journal of Service Research, 2012, 15(4): 370-389.
[28] Morosan C, Defranco A. Co-creating value in hotels using mobile devices: A conceptual model with empirical validation[J]. International Journal of Hospitality Management, 2016, 52: 131-142.
[29] Nambisan S, Baron R A. Interactions in virtual customer environments: Implications for product support and customer relationship management[J]. Journal of Interactive Marketing, 2007, 21(2): 42-62.
[30] Nambisan S, Baron R A. Virtual customer environments: Testing a model of voluntary participation in value co-creation activities[J]. The Journal of Product Innovation Management, 2009, 26(4): 388-406.
[31] Ordanini A, Parasuraman A. Service innovation viewed through a service-dominant logic lens: A conceptual framework and empirical analysis[J]. Journal of Service Research, 2011, 14(1): 3-23.
[32] Podsakoff P M, Mackenzie S B, Jeong-Yeon L, et al. Common method biases in behavioral research: A critical review of the literature and recommended remedies[J]. Journal of Applied Psychology, 2003, 88(5): 879-903.
[33] Rotter J B. Internal versus external control of reinforcement: a case history of a variable[J]. American Psychologist, 1989, 45(4): 489-493.
[34] Ryan R M, Deci E L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being[J]. American Psychologist, 2000, 55(1): 68-78.
[35] Schaarschmidt M, Walsh G, Evanschitzky H. Customer interaction and innovation in hybrid offerings: Investigating moderation and mediation effects[J]. Journal of Service Research, 2017, 3: 10-19.
[36] Seiders K, Flynn A G, Berry L L, et al. Motivating customers to adhere to expert advice in professional services: A medical service context[J]. Journal of Service Research, 2015, 18(1): 39-58.
[37] Shankar V, Venkatesh A, Hofacker C, et al. Mobile marketing in the retailing environment: Current insights and future research avenues[J]. Journal of Interactive Marketing, 2010, 24(2): 111-120.
[38] SHIN Kwangyong, PENG Xiaodong, QIN Pengfei. Research on the Effect of Customer-to-Customer Interaction of Virtual Brand Community on Customer Participation in Value Co-creation by Taking Experiential Value as Mediating Variable [J].Chinese Journal of Management, 2016, 13 (12): 1808-1816.
[39] Song J H, Zinkhan G M. Determinants of perceived web site interactivity[J]. Journal of Marketing, 2008, 72(2): 99-113.
[40] Spanjol J, Cui A S, Nakata C, et al. Co-production of prolonged, complex, and negative services: An examination of medication adherence in chronically ill individuals[J]. Journal of Service Research, 2015, 18(3): 284-302.
[41] Sweeney J C, Danaher T S, Mccoll-Kennedy J R. Customer effort in value cocreation activities: Improving quality of life and behavioral intentions of health care customers[J]. Journal of Service Research, 2015, 18(3): 318-335.
[42] Vargo S L, Lusch R F. Evolving to a new dominant logic for marketing[J]. Journal of Marketing, 2004, 68(1): 1-17.
[43] Vargo S L, Lusch R F. Service-dominant logic 2025[J]. International Journal of Research in Marketing, 2017, 34(1): 46–67.
[44] Vargo S L, Lusch R F. Service-dominant logic: Continuing the evolution[J]. Journal of the Academy of Marketing Science, 2008, 36(1): 1-10.
[45] Voorveld H, Neijens P, Smit E. The interactive authority of brand web sites: A new tool provides new insight[J]. Journal of Advertising Research, 2010, 50(3): 292-304.
[46] Wang Y G, Shi J J, Ma S, et al. Customer interactions in virtual brand communities: Evidence from china[J]. Journal of Global Information Technology Management, 2012, 15(2): 46-69.
[47] WANG Yonggui, MA Shuang. The Key Drives of Customer Interactions and Their Effects on Customer Satisfaction: An Empirical Study in the Context of Virtual Brand Community [J]. Chinese Journal of Management, 2013, 10 (9): 1375-1383.
[48] Yao T, Zheng Q Y, Fan X C. The impact of online social support on patients’ quality of life and the moderating role of social exclusion[J]. Journal of Service Research, 2015, 18(3): 369-383.
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Wang Yonggui, Zhao Hongwen, Ma Shuang. How Do Mobile Medical Apps Promote Offline Healthcare Management Activities Availably？[J]. Foreign Economics & Management, 2018, 40(2): 138-152.
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