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Freemium Users' Push-Pull Motivation and Willingness to Pay for Conversion Intent from Free to Premium

  • Nhan PHAN TRONG (Faculty of Business Administration, University of Economics and Law, Ho Chi Minh City, Vietnam and Vietnam National University) ;
  • Thuy VO THI NGOC (Hoa Sen University)
  • Received : 2024.09.24
  • Accepted : 2024.11.05
  • Published : 2024.11.30

Abstract

Purpose: In the field of trade and freemium services, this study adds to the body of research on switching intentions by examining the direct and moderating effects of willingness-to-pay and push-pull motivations on conversion intention. These effects differ from the mooring effect in the original push-pull-mooring (PPM) framework. Research design, data and methodology: A systematic literature study was conducted using VOSviewer as a bibliometric tool to cluster keywords and determine the extent of research on switching behavior in freemium services. To test the predicted relationships, this study used partial least squares structural equation modeling (Haenlein & Kaplan, 2004) and the latest SmartPLS software. A non-probability quota sampling approach was used to select 619 respondents who were highly representative. The sample quota was determined by considering the proportional distribution of age groups and genders among Vietnamese Internet users. Results: The research found that the option to trial the premium version had a greater impact on conversion intention than perceived advertising intrusiveness in the free version. Conclusions: The analysis showed that an effective advertising plan can outperform a limited-use strategy to push the free version. In pull motivation, clients' desire to pay moderates their conversion intentions more than in push motivation does in the trade context.

Keywords

Acknowledgement

This research is funded by University of Economics and Law, Vietnam National University Ho Chi Minh City, Vietnam.

References

  1. Augusto, M., & Torres, P. (2018). Effects of brand attitude and eWOM on consumers' willingness to pay in the banking industry: Mediating role of consumer-brand identification and brand equity. Journal of retailing and Consumer Services, 42, 1-10. https://doi.org/10.1016/j.jretconser.2018.01.005
  2. Bansal, H. S., & Taylor, S. F. (1999). The service provider switching model (spsm) a model of consumer switching behavior in the services industry. Journal of service Research, 2(2), 200-218. https://doi.org/10.1177/109467059922007
  3. Bansal, H. S., Taylor, S. F., & James, Y. St. (2005). Migrating to new service providers: Toward a unifying framework of consumers' switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115. https://doi.org/10.1177/0092070304267928
  4. Bapna, R., Ramaprasad, J., & Umyarov, A. (2016). Monetizing freemium communities: Does paying for premium increase social engagement?. Available at SSRN 2885681.
  5. Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363-376. https://doi.org/10.1162/qss_a_00018
  6. Bogue, D. J. (1969). Principles of demography. New York: Wiley. 
  7. Boudreau, K. J., Jeppesen, L. B., & Miric, M. (2023). Free (mium) strategies for digital goods. Research Handbook on Digital Strategy, 126.
  8. Bowman, C., & Ambrosini, V. (2000). Value creation versus value capture: towards a coherent definition of value in strategy. British journal of management, 11(1), 1-15. https://doi.org/10.1111/1467-8551.00147
  9. Camilleri, M. A., & Falzon, L. (2020). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing-ESIC.
  10. Caves, R. E. (2003). Contracts between art and commerce. Journal of economic Perspectives, 17(2), 73-83. https://doi.org/10.1257/089533003765888430
  11. Chakraborty, D., Siddiqui, M., Siddiqui, A., Paul, J., Dash, G., & Dal Mas, F. (2023). Watching is valuable: Consumer views-Content consumption on OTT platforms. Journal of Retailing and Consumer Services, 70, 103148.
  12. Chang, I. C., Liu, C. C., & Chen, K. (2014). The push, pull and mooring effectsin virtual migration for social networking sites. Information Systems Journal, 24(4), 323-346. https://doi.org/10.1111/isj.12030
  13. Chang, H. H.; Wong, K. H. & Li, S. Y. (2017). Applying Push-Pull-Mooring to Investigate Channel Switching Behaviors: M-Shopping Self-Efficacy and Switching Costs as Moderators. Electronic Commercial Research Appliance, 24, 50-67. https://doi.org/10.1016/j.elerap.2017.06.002
  14. Cheng, S., Lee, S. J., Choi, B. (2019). An Empirical Investigation of Users' Voluntary Switching Intention for Mobile Personal Cloud Storage Services Based on the Push-Pull-Mooring Framework. Computer Human Behaviour, 92, 198-215. https://doi.org/10.1016/j.chb.2018.10.035
  15. Cheng, H.K., & Liu, Y. (2012). Optimal software free trial strategy: The impact of network externalities and consumer uncertainty. Information Systems Research, 23(2), 488-504. https://doi.org/10.1287/isre.1110.0348
  16. Cho, C. H. (2004). Why Do People Avoid Advertising On the Internet? Journal of Advertising, 33 (4), 89-97. https://doi.org/10.1080/00913367.2004.10639175
  17. Choe, Y. C., Park, J., Chung, M., & Moon, J. (2009). Effect of the food traceability system for building trust: Price premium and buying behavior. Information Systems Frontiers, 11, 167-179. https://doi.org/10.1007/s10796-008-9134-z
  18. Choi, Y. J., & Lee, M. A. (2016). Effects of characteristics of social commerce on purchase intention-moderating effects of perceived risk and price sensitivity of mobile application users. Journal of the Korean Society of Clothing and Textiles, 40(3), 574-589. https://doi.org/10.5850/JKSCT.2016.40.3.574
  19. Danckwerts, S., & Kenning, P. (2019). "It's MY Service, it's MY Music": The role of psychological ownership in music streaming consumption. Psychology & Marketing, 36(9), 803-816. https://doi.org/10.1002/mar.21213
  20. Diallo, M. F., Ben Dahmane Mouelhi, N., Gadekar, M., & Schill, M. (2021). CSR actions, brand value, and willingness to pay a premium price for luxury brands: does long-term orientation matter?. Journal of Business Ethics, 169, 241-260. https://doi.org/10.1007/s10551-020-04486-5
  21. Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method. John Wiley & Sons.
  22. Dos-Santos, P. M., & Cirillo, M. A. (2023). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics-Simulation and Computation, 52(4), 1639-1650. https://doi.org/10.1080/03610918.2021.1888122
  23. Dwivedi, A., Nayeem, T., & Murshed, F. (2018). Brand experience and consumers' willingness-to-pay (WTP) a price premium: Mediating role of brand credibility and perceived uniqueness. Journal of Retailing and Consumer Services, 44, 100-107. https://doi.org/10.1016/j.jretconser.2018.06.009
  24. Farzin, M., Sadeghi, M., Fattahi, M., & Eghbal, M. R. (2022). Effect of social media marketing and eWOM on willingness to pay in the etailing: Mediating role of brand equity and brand identity. Business Perspectives and Research, 10(3), 327-343. https://doi.org/10.1177/22785337211024926
  25. Flew, T. (2021). Willingness to pay: News media. Intermedia.
  26. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
  27. Ganuza, J. J., & Viecens, M. F. (2014). Over-the-top (OTT) content: implications and best response strategies of traditional telecom operators. Evidence from Latin America. Info-The journal of policy, regulation and strategy for telecommunications, 16(5), 59-69. https://doi.org/10.1108/info-05-2014-0022
  28. Goldsmith, R. E., Flynn, L. R., & Kim, D. (2010). Status consumption and price sensitivity. Journal of marketing theory and practice, 18(4), 323-338. https://doi.org/10.2753/MTP1069-6679180402
  29. Goldsmith, R. E., & Newell, S. J. (1997). Innovativeness and price sensitivity: managerial, theoretical and methodological issues. Journal of Product & Brand Management, 6(3), 163-174. https://doi.org/10.1108/10610429710175682
  30. Gu, X., Kannan, P. K. and Ma, L. (2018). Selling the premium in freemium. Journal of Marketing, 82 (6), 10-27. https://doi.org/10.1177/0022242918807170
  31. Gundlach, H., & Hofmann, J. (2017). Preferences and Willingness to Pay for Tablet News Apps. Journal of Media Business Studies, 14 (4), 257-281. https://doi.org/10.1080/16522354.2017.1346948
  32. Haenlein, M., & Kaplan, A. M. (2004). A beginner's guide to partial least squares analysis. Understanding statistics, 3(4), 283-297. https://doi.org/10.1207/s15328031us0304_4
  33. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM). In Sage. Springer International Publishing. https://doi. org/10.1007/978-3-030-80519-7
  34. HairJr,J., Page, M., & Brunsveld, N. (2019). Essentials of business research methods. Routledge.
  35. HairJr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced issues in partial least squares structural equation modeling. SAGE publications.
  36. Halmenschlager, C., & Waelbroeck, P. (2014). Fighting free with free: Freemium vs. Piracy. Piracy (November 29, 2014).
  37. Han, H., Back, K. J., & Barrett, B. (2009). Influencing factors on restaurant customers' revisit intention: The roles of emotions and switching barriers. International journal of hospitality management, 28(4), 563-572. https://doi.org/10.1016/j.ijhm.2009.03.005
  38. Hidayat-ur-Rehman, I., Akram, M. S., Malik, A., Mokhtar, S. A., Bhatti, Z. A., & Khan, M. A. (2020). Exploring the determinants of digital content adoption by academics: The moderating role of environmental concerns and price value. SAGE Open, 10(2), 215824402093185.
  39. Hoch, S. J., Kim, B. D., Montgomery, A. L., & Rossi, P. E. (1995). Determinants of store-level price elasticity. Journal of marketing Research, 32(1), 17-29. https://doi.org/10.1177/002224379503200104
  40. Holm, A. B., & Gunzel-Jensen, F. (2017). Succeeding with freemium: strategies for implementation. Journal of Business Strategy, 38(2), 16-24. https://doi.org/10.1108/JBS-09-2016-0096
  41. Hou, A. C. Y., & Shiau, W.-L. (2019). Understanding Facebook to Instagram migration: a push-pull migration model perspective. Information Technology & People, 33(1), 272-295. https://doi.org/10.1108/ITP-06-2017-0198
  42. Hou, B., Wu, L., Chen, X., Zhu, D., Ying, R., & Tsai, F. S. (2019). Consumers' willingness to pay for foods with traceability information: ex-ante quality assurance or ex-post traceability?. Sustainability, 11(5), 1464.
  43. Hsieh, P. J. (2021). Understanding medical consumers' intentions to switch from cash payment to medical mobile payment: A perspective of technology migration. Technological Forecasting and Social Change, 173, 121074.
  44. Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Postadoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework. Computers in Human Behavior, 28(5), 1912-1920. https://doi.org/10.1016/j.chb.2012.05.010
  45. Hsu, C. L., & Lin, J. C. C. (2015). What drives purchase intention for paid mobile apps?-An expectation confirmation model with perceived value. Electronic commerce research and applications, 14(1), 46-57. https://doi.org/10.1016/j.elerap.2014.11.003
  46. Jones, M.A., Mothersbaugh, D.L., & Beatty, S.E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259-274. https://doi.org/10.1016/S0022-4359(00)00024-5
  47. Jung, J., Han, H., & Oh, M. (2017). Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework. Tourism Management, 59, 139-153. https://doi.org/10.1016/j.tourman.2016.07.018
  48. Kemp, S. (2023, July 20). Digital 2023 July global statshot report. DataReportal - Global Digital Insights. https://datareportal.com/reports/digital-2023-july-global-statshot
  49. Kiatkawsin, K., & Han, H. (2019). What drives customers' willingness to pay price premiums for luxury gastronomic experiences at michelin-starred restaurants?. International Journal of Hospitality Management, 82, 209-219. https://doi.org/10.1016/j.ijhm.2019.04.024
  50. Kim, S., Choi, M. J., & Choi, J. S. (2019). Empirical study on the factors affecting individuals' switching intention to augmented/virtual reality content services based on push-pull-mooring theory. Information, 11(1), 25.
  51. Kim, H. W., Gupta, S., & Lee, S. H. (2013). Examining the effect of online switching cost on customers' willingness to pay more. Asia pacific journal of information systems, 23(1), 21-43.
  52. Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884-893. https://doi.org/10.1016/j.im.2006.08.004
  53. Kircova, I., Turkay, P. B., Kose, S. G. (2020). Would you like to be a premium customer? a research on the factors related to the intention to pay for a premium music service. Journal of Management, Marketing and Logistics, 7(1), 42-52. https://doi.org/10.17261/Pressacademia.2020.1196
  54. Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information systems journal, 28(1), 227-261. https://doi.org/10.1111/isj.12131
  55. Kumar, V. (2014). Making "Freemium" Work. Harvard Business Review, 27-29.
  56. Lai, J. Y., Debbarma. S., & Ulhas, K. R. (2012). An Empirical Study of Consumer Switching Behaviour towards Mobile Shopping: a Push-Pull-Mooring Model. International Journal of Mobile Communications, 10(4), 386-404. https://doi.org/10.1504/IJMC.2012.048137
  57. Lai, J. Y., & Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155-167. https://doi.org/10.1016/j.techfore.2014.06.004
  58. Li, Z., & Cheng, Y. (2014). From free to fee: Exploring the antecedents of consumer intention to switch to paid online content. Journal of Electronic Commerce Research, 15, 281-299.
  59. Li, H., Edwards, S. M., & Lee, J. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2), 37-47. https://doi.org/10.1080/00913367.2002.10673665
  60. Li, Z., Nan, G., & Li, M. (2018). Advertising or freemium: The impacts of social effects and service quality on competing platforms. IEEE Transactions on Engineering Management, 67(1), 220-233. https://doi.org/10.1109/TEM.2018.2871420
  61. Liu, L., Jin, B., Shi, Y., Hu, L., Yang, J., & Mi, C. (2022). Motivating subscription of video-on-demand in mainland China: A push-pull-mooring perspective. In Communications in Computer and Information Science (pp. 63-71). Springer Nature Switzerland.
  62. McCoy, S., Everard, A., Galletta, D.F. & Moody, G.D. (2017). Here we go again! the impact of website ad repetition on recall, intrusiveness, attitudes, and site revisit intentions. Information and Management, 54(1), 14-24. https://doi.org/10.1016/j.im.2016.03.005
  63. Miller, K. M., Hofstetter, R., Krohmer, H., & Zhang, Z. J. (2011). How should consumers' willingness to pay be measured? An empirical comparison of state-of-the-art approaches. JMR, Journal of Marketing Research, 48(1), 172-184. https://doi.org/10.1509/jmkr.48.1.172
  64. Moon, B. (1995). Paradigm in Migration Research: Exploring 'Moorings' as a Schema. Progress in Human Geography, 19, 504-524. https://doi.org/10.1177/030913259501900404
  65. Nagaraj, S., Singh, S. and Yasa, V.R. (2021). Factors affecting consumers' willingness to subscribe to over-the-top (OTT) video streaming services in India. Technology in Society, 65, 101534.
  66. Nawaz, A., & Guribie, F. L. (2022). Impacts of institutional isomorphism on the adoption of social procurement in the Chinese construction industry. Construction Innovation.
  67. Nguyen, T. H. N., Yeh, Q. J., & Huang, C. Y. (2022). Understanding consumer' switching intention toward traceable agricultural products: Push-pull-mooring perspective. International Journal of Consumer Studies, 46(3), 870-888. https://doi.org/10.1111/ijcs.12733
  68. Niemand, T., Mai, R., & Kraus, S. (2019). The zero-price effect in freemium business models: The moderating effects of free mentality and price-quality inference. Psychology & Marketing, 36(8), 773-790. https://doi.org/10.1002/mar.21211
  69. Osterwalder, A., & Pigneur, Y. (2010). Business model generation: a handbook for visionaries, game changers, and challengers (Vol. 1). John Wiley & Sons.
  70. Pham, T. T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in society, 43, 159-172. https://doi.org/10.1016/j.techsoc.2015.05.004
  71. Priem, R. L. (2007). A consumer perspective on value creation. Academy of management review, 32(1), 219-235. https://doi.org/10.5465/amr.2007.23464055
  72. Ramirez, E., & Goldsmith, R. E. (2009). Some antecedents of price sensitivity. Journal of Marketing Theory and Practice, 17(3), 199-214. https://doi.org/10.2753/MTP1069-6679170301
  73. Rao, A. R., & Monroe, K. B. (1996). Causes and consequences of price premiums. Journal of business, 511-535.
  74. Rietveld, J. (2016). Creating Value through the Freemium Business Model: A Consumer Perspective. Academy of Management Proceedings, 2016(1), 11073.
  75. Rietveld, J. (2018). Creating and capturing value from freemium business models: A demand-side perspective. Strategic Entrepreneurship Journal, 12(2), 171-193. https://doi.org/10.1002/sej.1279
  76. Rogers, E. M. (1995). Difusion of innovations(3th & 4th ed.), New York: The Free Press.
  77. Seufert, E. B. (2013). Freemium economics: Leveraging analytics and user segmentation to drive revenue. Elsevier.
  78. Shah Alam, S., Khatibi, A., Ismail Sayyed Ahmad, M., & Bin Ismail, H. (2008). Factors affecting e-commerce adoption in the electronic manufacturing companies in Malaysia. International Journal of Commerce and Management, 17(1/2), 125-139.
  79. Shapiro, C., & Varian, H. R. (1998). Versioning: the smart way to. Harvard business review, 107(6), 107.
  80. Sheng, L., Ryan, C. T., Nagarajan, M., Cheng, Y., & Tong, C. (2022). Incentivized actions in freemium games. Manufacturing & Service Operations Management, 24(1), 275-284. https://doi.org/10.1287/msom.2020.0925
  81. Shin, Y. H., Moon, H., Jung, S. E., & Severt, K. (2017). The effect of environmental values and attitudes on consumer willingness to pay more for organic menus: A value-attitude-behavior approach. Journal of Hospitality and Tourism Management, 33, 113-121. https://doi.org/10.1016/j.jhtm.2017.10.010
  82. Singh, R., & Rosengren, S. (2020). Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services, 53, 101962.
  83. Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126, 5113-5142. https://doi.org/10.1007/s11192-021-03948-5
  84. Siriwardena, S., & Silva, D. (2017). Sensitivity of non-pricing strategies of Airline industry in promoting tourism in Sri Lanka. SEUSL Journal of Marketing, 18-31.
  85. Skinner, B. F., (1937). Two types of conditioned reflex: a reply to Miller and Konorski. Journal of General Psychology, 16, 272-279. https://doi.org/10.1080/00221309.1937.9917951
  86. Souza, D. E. S. de, & Baldanza, R. F. (2018). The e-consumer in light of the perceived value theory: A study on the acceptance of mobile commerce. Base, 15(3).
  87. Strombom, B. A., Buchmueller, T. C., & Feldstein, P. J. (2002). Switching costs, price sensitivity and health plan choice. Journal of Health Economics, 21(1), 89-116. https://doi.org/10.1016/S0167-6296(01)00124-2
  88. Subramaniam, S., Mohre, R., & Kawde, D. (2014). Customers' Perception: Towards Brand. SCMS Journal of Indian Management, 11(2), 93.
  89. Suryadi, N., Suryana, Y., Komaladewi, R., & Sari, D. (2018). Consumer, customer and perceived value: Past and present. Academy of Strategic Management Journal, 17(4), 1-9.
  90. Tan, B. J., Brown, M. and Pope, N. (2019). The role of respect in the effects of perceived ad interactivity and intrusiveness on brand and site. Journal of Marketing Communications, 25(3), 288-306. https://doi.org/10.1080/13527266.2016.1270344
  91. Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for information Systems, 1(1), 5.
  92. Tang, Z., & Chen, L. (2020). An empirical study of brand microblog users' unfollowing motivations: The perspective of push-pull-mooring model. International Journal of Information Management, 52, 102066.
  93. Tsai, L. L. (2023). A deeper understanding of switching intention and the perceptions of non-subscribers. Information Technology & People, 36(2), 785-807. https://doi.org/10.1108/ITP-04-2021-0255
  94. Wagner, T. M., Benlian, A., & Hess, T. (2013, January). The Advertising Effect of Free--Do Free Basic Versions Promote Premium Versions within the Freemium Business Model of Music Services?. In 2013 46th Hawaii International Conference on System Sciences (pp. 2928-2937). IEEE.
  95. Wagner, T. M., Benlian, A., & Hess, T. (2014). Converting freemium customers from free to premium-the role of the perceived premium fit in the case of music as a service. Electronic Markets, 24, 259-268. https://doi.org/10.1007/s12525-014-0168-4
  96. Wang, L.; Luo, X. R.;Yang, X. & Qiao, Z. (2019). Easy Come or Easy Go? Empirical Evidence on Switching Behaviors in Mobile Payment Applications. Information Management, 56, 103-150. https://doi.org/10.1016/j.im.2019.02.005
  97. Weiss, J. A., & Dale, B. C. (1998). Diffusing against mature technology: Issues and strategy. Industrial Marketing Management, 27(4), 293-304. https://doi.org/10.1016/S0019-8501(97)00062-X
  98. Wilson, L., & Lusk, J. L. (2020). Consumer willingness to pay for redundant food labels. Food Policy, 97, 101938.
  99. Xu, H.; Wang, J.; Tai, Z.; Lin, H. C. (2021). Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory. Sustainability, 13, 7087.
  100. Ye, C., & Potter, R. (2011). The role of habit in post-adoption switching of personal information technologies: An empirical investigation. Communications of the Association for Information Systems, 28(1), 35.
  101. Yoon, C., & Lim, D. (2021). Customers' Intentions to Switch to Internet-Only Banks: Perspective of the Push-Pull-Mooring Model. Sustainability, 13(14), 8062.
  102. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22. https://doi.org/10.1177/002224298805200302
  103. Zengyan, C., Yinping, Y., & Lim, J. (2009, January). Cyber migration: An empirical investigation on factors that affect users' switch intentions in social networking sites. In 2009 42nd Hawaii International Conference on System Sciences (pp. 1-11). IEEE.
  104. Zennyo, Y. (2020). Freemium competition among ad-sponsored platforms. Information Economics and Policy, 50, 100848.
  105. Zhang, K. Z. K., Cheung, C. M. K., & Lee, M. K. O. (2012). Online service switching behavior: The case of blog service providers. Journal of Electronic Commerce Research, 13(3), 184-197.
  106. Zhang, B., Fu, Z., Huang, J., Wang, J., Xu, S., & Zhang, L. (2018). Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: a case study of Beijing, China. Journal of cleaner production, 197, 1498-1507. https://doi.org/10.1016/j.jclepro.2018.06.273
  107. Zhou, T. (2016). Examining User Switch between Mobile Stores. Information Resources Management Journal, 29(2), 1-13. https://doi.org/10.4018/IRMJ.2016040101