1. 42matters. (2022). Malaysia App Market Statistics in 2022. https://42matters.com/malaysia-app-market-statistics
2. Al-Adwan, A. S., Kokash, H., Al Adwan, A., Alhorani, A., & Yaseen, H. (2020). Building customer loyalty in online shopping: The role of online trust, online satisfaction and electronic word of mouth. International Journal of Electronic Marketing and Retailing, 11(3), 278–306. https://doi.org/10.1504/IJEMR.2020.108132
3. Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of continuous intention to use m-learning: An integrated model. Education and Information Technologies, 25(4), 2899–2918. https://doi.org/10.1007/s10639-019-10094-2
4. Al-Hattami, H. M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1936368
5. Al-Mamary, Y. H., Shamsuddin, A., & Abdul Hamid, N. A. (2018). The relationship between system quality, information quality, and organizational performance. International Journal of Knowledge and Research in Management & E-Commerce, 4(3), 7–10.
6. Alghamdi, M., & Basahel, S. (2021). COVID-19 and continuance intention to use mobile payment technology: A moderated mediation model. International Journal of Human Potentials Management, 3(2).
7. Ameen, A., Alfalasi, K., Gazem, N. A., & Isaac, O. (2019). Impact of system quality, information quality, and service quality on actual usage of smart government. 2019 1st International Conference of Intelligent Computing and Engineering: Toward Intelligent Solutions for Developing and Empowering Our Societies, ICOICE 2019, April 2020. https://doi.org/10.1109/ICOICE48418.2019.9035144
8. Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/10.1016/j.ijinfomgt.2017.05.003
9. Amoroso, D., Sato, O., & Ackaradejruangsri, P. (2021). Dual-factor approach to consumer acceptance of mobile banking. International Journal of Technology Diffusion, 12(1), 1–27. https://doi.org/10.4018/ijtd.2021010101
10. Amoroso, Donald L., & Chen, Y. (2017). Constructs affecting continuance intention in consumers with mobile financial apps: A dual-factor approach. Journal of Information Technology Management, 28(3), 1–24.
11. Amoroso, Donald Louis, Ackaradejruangsri, P., & Lim, R. A. (2017). The impact of inertia as mediator and antecedent on consumer loyalty and continuance intention. International Journal of Customer Relationship Marketing and Management, 8(2), 1–20. https://doi.org/10.4018/ijcrmm.2017040101
12. Bahaddad, A. A. (2017). Evaluating m-commerce systems success: Measurement and validation of the DeLone and McLean Model of IS success in Arabic society (GCC case study). Journal of Business Theory and Practice, 5(3), 156. https://doi.org/10.22158/jbtp.v5n3p156
13. Bøe, T., Sandvik, K., & Gulbrandsen, B. (2021). Continued use of e-learning technology in higher education: a managerial perspective. Studies in Higher Education, 46(12), 2664–2679. https://doi.org/10.1080/03075079.2020.1754781
14. Bölen, M. C., & Özen, Ü. (2020). Understanding the factors affecting consumers’ continuance intention in mobile shopping: the case of private shopping clubs. International Journal of Mobile Communications, 18(1), 101. https://doi.org/10.1504/ijmc.2020.104423
15. Budiardjo, E. K., Pamenan, G., Hidayanto, A. N., Meyliana, & Cofriyanti, E. (2017). The impact of knowledge management system quality on the usage continuity and recommendation intention. Knowledge Management and E-Learning, 9(2), 200–224. https://doi.org/10.34105/j.kmel.2017.09.012
16. Chan, X. Y., Rahman, M. K., Mamun, A. Al, A. Salameh, A., Wan Hussain, W. M. H., & Alam, S. S. (2022). Predicting the intention and adoption of mobile shopping during the COVID-19 lockdown in Malaysia. SAGE Open, 12(2), 215824402210950. https://doi.org/10.1177/21582440221095012
17. Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk. Behaviour and Information Technology, 38(1). https://doi.org/10.1080/0144929X.2018.1513563
18. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. In Physical Review B - Condensed Matter and Materials Physics (2nd ed., Vol. 60, Issue 6). Lawrence Etlbaum Associates.
19. Cui, Y. (2021). The influence of quality factors on the satisfaction and continuance intention of Chinese college students’ online learning during the COVID-19 epidemic. ACM International Conference Proceeding Series, 1992, 145–150. https://doi.org/10.1145/3450148.3450168
20. Darmiasih, M., & Setiawan, P. Y. (2020). Continuance usage intention and its antecedents on using OVO e-wallet application in Denpasar. International Research Journal of Management, IT and Social Sciences, 8(1), 35–46. https://doi.org/10.21744/irjmis.v8n1.1104
21. DataReportal. (2021). Digital in Malaysia: All the statistics you need in 2021. https://datareportal.com/reports/digital-2021-malaysia
22. DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. In Foundations and Trends® in Information Systems (Vol. 2, Issue 1). https://doi.org/10.1561/2900000005
23. Elfil, M., & Negida, A. (2016). Sampling methods in clinical research: An educational review. Archives of Academic Emergency Medicine, 7(1), 1–4. https://doi.org/10.22037/emergency.v5i1.15215
24. Fernandes, N., & Barfknecht, C. (2020). Keep customers coming back: Enhancing value and satisfaction in a mobile shopping application context. Cogent Business and Management, 7(1). https://doi.org/10.1080/23311975.2020.1788874
25. Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), e07807. https://doi.org/10.1016/j.heliyon.2021.e07807
26. Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China. Computers in Human Behavior, 53. https://doi.org/10.1016/j.chb.2015.07.014
27. Groß, M. (2018). Mobile shopping loyalty: The salient moderating role of normative and functional compatibility beliefs. Technology in Society, 55. https://doi.org/10.1016/j.techsoc.2018.07.005
28. Hair, J. F., Hult, G. T. M., Ringle, C., Sarstedt, M., Danks, N., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. In Springer.
29. Hair, Joe F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
30. Hair, Joe F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 00–00. https://doi.org/10.1108/ebr-11-2018-0203
31. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
32. Hidayat-ur-Rehman, I., Mokhtar, S. A., & Katan, H. (2016). An empirical analysis of consumers’ continuance intention towards online shopping. Mediterranean Journal of Social Sciences, 7(5), 95–104. https://doi.org/10.5901/mjss.2016.v7n5p95
33. Hsu, M. H., Yen, C. H., Chiu, C. M., & Chang, C. M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human Computer Studies, 64(9), 889–904. https://doi.org/10.1016/j.ijhcs.2006.04.004
34. Hwang, H., Yang, H., Williams, A., & Pedersen, P. (2020). A gratification model of sport team mobile application usage. Sport Marketing Quarterly, 29(3), 163–176. https://doi.org/10.32731/smq.293.092020.01
35. Ifinedo, P. (2018). Determinants of students’ continuance intention to use blogs to learn: an empirical investigation. Behaviour and Information Technology, 37(4), 381–392. https://doi.org/10.1080/0144929X.2018.1436594
36. Indrawati, & Amalia, F. (2019). The used of modified UTAUT 2 model to analyze the continuance intention of travel mobile application. 2019 7th International Conference on Information and Communication Technology, ICoICT 2019, July. https://doi.org/10.1109/ICoICT.2019.8835196
37. Jatimoyo, D., Rohman, F., & Djazuli, A. (2021). The effect of perceived ease of use on continuance intention through perceived usefulness and trust. International Journal of Research in Business and Social Science (2147- 4478), 10(4), 430–437. https://doi.org/10.20525/ijrbs.v10i4.1223
38. Joo, Y. J., Park, S., & Shin, E. K. (2017). Students’ expectation, satisfaction, and continuance intention to use digital textbooks. Computers in Human Behavior, 69, 83–90. https://doi.org/10.1016/j.chb.2016.12.025
39. Kim, Y.-J., & Han, J.-Y. (2015). Antecedents of continuous use and purchase intention: In the context of mobile application store. Journal of the Korea Society of Computer and Information, 20(7), 65–76. https://doi.org/10.9708/jksci.2015.20.7.065
40. Koloseni, D., & Mandari, H. (2017). Why mobile money users keep increasing?: Investigating the continuance usage of mobile money services in Tanzania. Journal of International Technology and Information Management, 26(2), 117–143. https://scholarworks.lib.csusb.edu/jitim/vol26/iss2/6
41. Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
42. Kumar, A., Adlakaha, A., & Mukherjee, K. (2018). The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country. International Journal of Bank Marketing, 36(7), 1170–1189. https://doi.org/10.1108/IJBM-04-2017-0077
43. Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability (Switzerland), 11(11). https://doi.org/10.3390/su11113141
44. Lee, Y. P., Tsai, H. Y., & Ruangkanjanases, A. (2020). The determinants for food safety push notifications on continuance intention in an e-appointment system for public health medical services: The perspectives of utaut and information system quality. International Journal of Environmental Research and Public Health, 17(21), 1–15. https://doi.org/10.3390/ijerph17218287
45. Liu, M. (2020). The relationship between travel UGC platform quality and user’s continuance intention: Based on Information System Successful Model. Scholars Journal of Economics, Business and Management, 07(03), 114–123. https://doi.org/10.36347/sjebm.2020.v07i03.003
46. Liu, Q., Zhang, F., Mao, M., Xue, B., & Lin, Z. (2018). An empirical study on factors affecting continuance intention of using Yu’e Bao. Tehnicki Vjesnik, 25(5), 1414–1420. https://doi.org/10.17559/TV-20180413122553
47. Liu, W., Wang, Y., & Wang, Z. (2020). An empirical study of continuous use behavior in virtual learning community. PLoS ONE, 15(7 July), 1–17. https://doi.org/10.1371/journal.pone.0235814
48. Lowyat.NET. (2022). Shopee experiences technical difficulties: Users are being logged out automatically (updated). https://www.lowyat.net/2022/269402/shopee-technical-difficulties-users-auto-logout/
49. Luqman, A., Ismail, M., & Razak, R. C. (2014). A short review on the trend of mobile commerce continuance intention studies and its underlying model. International Conference on Business and Communication, 4(April), 1–9.
50. Malay Mail. (2021). Ipsos poll: Shopee is Malaysia’s preferred e-shopping platform during pandemic times, used by four in five buyers. https://www.malaymail.com/news/malaysia/2021/06/08/ipsos-poll-shopee-is-malaysias-preferred-e-shopping-platform-during-pandemi/1980472
51. Malik, A., Suresh, S., & Sharma, S. (2019). An empirical study of factors influencing consumers’ attitude towards adoption of wallet apps. International Journal of Management Practice, 12(4), 426–442. https://doi.org/10.1504/IJMP.2019.102534
52. ManilaStandard.net. (2021). How Lazada lost Southeast Asia to Shopee. https://manilastandard.net/business/business-columns/integrations-by-maya-baltazar-herrera/351735/how-lazada-lost-southeast-asia-to-shopee.html
53. Marinković, V., Đorđević, A., & Kalinić, Z. (2020). The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective. Technology Analysis and Strategic Management, 32(3), 306–318. https://doi.org/10.1080/09537325.2019.1655537
54. Mbete, G. S., & Tanamal, R. (2020). Effect of easiness, service quality, price, trust of quality of information, and brand image of consumer purchase decision on Shopee online purchase. Jurnal Informatika Universitas Pamulang, 5(2), 100. https://doi.org/10.32493/informatika.v5i2.4946
55. Memon, M. A., Ting, H., Cheah, J.-H., Ramayah, T., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx.
56. Muljono, W., & Setiyawati, S. (2021). Consumers perception of online shopping intention. Asia Pacific Management and Business Application, 009(03), 261–276. https://doi.org/10.21776/ub.apmba.2021.009.03.5
57. Mustika, E. I., & Arifin, A. L. (2021). The influence of trust and information quality on online purchase decision in the Shopee application (A case study on PT SRI Bogor’s employee). International Journal of Social Science, 1(2), 37–42. https://doi.org/10.53625/ijss.v1i2.134
58. Nani, D. A., & Lina, L. F. (2022). Determinants of continuance intention to use mobile commerce during the emergence of COVID-19 in Indonesia: DeLone and McLean perspective. Sriwijaya International Journal of Dynamic Economics and Business, 5(3), 261. https://doi.org/10.29259/sijdeb.v5i3.261-272
59. Nguyen, D. M., Chiu, Y. T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in vietnam: A necessity for sustainable development. Sustainability (Switzerland), 13(14), 1–24. https://doi.org/10.3390/su13147625
60. Nguyen, G. Do, & Ha, M. T. (2021). The role of user adaptation and trust in understanding continuance intention towards mobile shopping: An extended expectation-confirmation model. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1980248
61. Odusanya, K., Aluko, O., & Lal, B. (2020). Building consumers’ trust in electronic retail platforms in the sub-Saharan context: An exploratory study on drivers and impact on continuance intention. Information Systems Frontiers, 2016. https://doi.org/10.1007/s10796-020-10043-2
62. Oertzen, A. S., & Odekerken-Schröder, G. (2019). Achieving continued usage in online banking: a post-adoption study. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-09-2018-0239
63. Olaleye, S. A., Sanusi, I. T., & Adepoju, B. (2018). Actual use and continuous use of retail mobile app: A model comparison perspective. Advances in Science, Technology and Engineering Systems, 3(6), 151–158. https://doi.org/10.25046/aj030619
64. Omotayo, F. O., & Adeyemi, R. O. (2018). Determinants of continuance intention to use online shops in Nigeria. Journal of Internet Banking and Commerce, 23(2). http://www.icommercecentral.com
65. Patel, V., Das, K., Chatterjee, R., & Shukla, Y. (2020). Does the interface quality of mobile shopping apps affect purchase intention? An empirical study. Australasian Marketing Journal, 28(4), 300–309. https://doi.org/10.1016/j.ausmj.2020.08.004
66. Prastiwi, S. K., & Iswari, P. W. (2019). The roles of trust within information quality and price to engage impulsive buying behaviour to generate customer’s repurchase intention: A case of m-commerce in Indonesia (GoFood). KnE Social Sciences, 2019, 446–462. https://doi.org/10.18502/kss.v3i26.5391
67. Sarkar, S., & Khare, A. (2018). Influence of expectation confirmation, network externalities, and flow on use of mobile shopping apps. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2018.1540383
68. Sensuse, D. I., Handoyo, I. T., Fitriani, W. R., Ramadhan, A., & Rahayu, P. (2018). Understanding continuance intention to use mobile commerce: A case of urban transportation service. 2017 International Conference on ICT for Smart Society, ICISS 2017, 2018-Janua, 1–6. https://doi.org/10.1109/ICTSS.2017.8288870
69. Seol, S., Lee, H., Yu, J., & Zo, H. (2016). Continuance usage of corporate SNS pages: A communicative ecology perspective. Information and Management, 53(6), 740–751. https://doi.org/10.1016/j.im.2016.02.010
70. Shang, D., & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management and Data Systems, 117(1), 213–227. https://doi.org/10.1108/IMDS-02-2016-0052
71. Sharma, S. K., Gaur, A., Saddikuti, V., & Rastogi, A. (2017). Structural Equation Model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour and Information Technology, 36(10), 1053–1066. https://doi.org/10.1080/0144929X.2017.1340973
72. Sheng, T., & Liu, C. (2010). An empirical study on the effect of e-service quality on online customer satisfaction and loyalty. Nankai Business Review International, 1(3), 273–283. https://doi.org/10.1108/20408741011069205
73. Sun, W., & Zhang, X. (2020). System quality, users’ satisfaction, and citizens’ continuous intention to use e-government: an empirical study. International Journal of Business and Applied Social Science, 1987, 1–16. https://doi.org/10.33642/ijbass.v6n10p1
74. Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model. Industrial Management and Data Systems, 116(3), 508–525. https://doi.org/10.1108/IMDS-05-2015-0195
75. Taber, K. S. (2018). The use of Cronbach’s Alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
76. Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile apps: Extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243–257. https://doi.org/10.1007/s10796-018-9864-5
77. TechNode Global. (2021). Sea’s Shopee launches food delivery service in Malaysia rivalling GrabFood, Foodpanda. https://technode.global/2021/09/24/seas-shopee-launches-food-delivery-service-in-malaysia-rivalling-grabfood-foodpanda/
78. Thakur, R. (2018). The role of self-efficacy and customer satisfaction in driving loyalty to the mobile shopping application. International Journal of Retail and Distribution Management, 46(3). https://doi.org/10.1108/IJRDM-11-2016-0214
79. The Malaysia Reserve. (2021). The boom of e-commerce in Covid-19 era. https://themalaysianreserve.com/2021/01/01/the-boom-of-e-commerce-in-covid-19-era/
80. The Malaysian Reserve. (2020). Most M’sians unhappy with e-commerce experience. https://themalaysianreserve.com/2020/09/24/most-msians-unhappy-with-e-commerce-experience/
81. Tran, L. T. T., Pham, L. M. T., & Le, L. T. (2019). E-satisfaction and continuance intention: The moderator role of online ratings. International Journal of Hospitality Management, 77(November 2017), 311–322. https://doi.org/10.1016/j.ijhm.2018.07.011
82. Vaghefi, I., & Tulu, B. (2019). The continued use of mobile health apps: Insights from a longitudinal study. JMIR MHealth and UHealth, 7(8). https://doi.org/10.2196/12983
83. Veeramootoo, N., Nunkoo, R., & Dwivedi, Y. K. (2018). What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage. Government Information Quarterly, 35(2). https://doi.org/10.1016/j.giq.2018.03.004
84. Wowor, W., Pangemanan, S. S., & Wangke, S. J. C. (2019). The study of online shopping continuance intention of Shopee customers in Manado. 5703 Jurnal EMBA, 7(4), 5703–5712.
85. Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(5), 1195–1214. https://doi.org/10.1007/s11423-017-9513-6
86. Zhang, S., Liu, L., Li, M., Tao, Q., Zhang, R., & Xia, Y. (2021). Understanding Continuance Usage Intention of Shopping Guide Apps in Social Commerce. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2021 - Late Breaking Posters (pp. 414–421). Springer International Publishing.
87. Zhao, H., Anong, S. T., & Zhang, L. (2019). Understanding the impact of financial incentives on NFC mobile payment adoption: An experimental analysis. International Journal of Bank Marketing, 37(5), 1296–1312. https://doi.org/10.1108/IJBM-08-2018-0229
88. Zhou, T. (2013). Understanding continuance usage of mobile sites. Industrial Management and Data Systems, 113(9), 1286–1299. https://doi.org/10.1108/IMDS-01-2013-0001