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Marketing

Investigating the influence of mobile game addiction on in-app purchase intention in PUBG mobile: the mediating roles of loyalty, negative e-WOM and perceived risk

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Article: 2328317 | Received 31 Aug 2023, Accepted 01 Mar 2024, Published online: 26 Mar 2024

References

  • Adjorlu, A. (2024). Virtual reality therapy. In Encyclopedia of computer graphics and games (pp. 2053–2059). Cham: Springer International Publishing.
  • Akkaya, M. (2021). Understanding the impacts of lifestyle segmentation & perceived value on brand purchase intention: An empirical study in different product categories. European Research on Management and Business Economics, 27(3), 100155. https://doi.org/10.1016/j.iedeen.2021.100155
  • Albatati, B., Liu, F., Wang, S., & Yu, M. (2023). Emotions and online gaming experiences: An examination of MMORPG gamers from India and the United States. Computers in Human Behavior, 148(August), 107900. https://doi.org/10.1016/j.chb.2023.107900
  • Ally, S., Karpinski, A. C., & Israeli, A. A. (2020). Customer behavioural analysis: The impact of internet addiction, interpersonal competencies and service orientation on customers’ online complaint behaviour. Research in Hospitality Management, 10(2), 97–105. https://doi.org/10.1080/22243534.2020.1869468
  • Al Mamun, A., Naznen, F., Yang, Q., Ali, M. H., & Hashim, N. M. H. N. (2023). Modelling the significance of celebrity endorsement and consumer interest on attitude, purchase intention, and willingness to pay a premium price for green skincare products. Heliyon, 9(6), e16765. https://doi.org/10.1016/j.heliyon.2023.e16765
  • Almohaimmeed, B. M. A. (2019). The effects of social media marketing antecedents on social media marketing, brand loyalty and purchase intention: A customer perspective. Journal of Business & Retail Management Research, 13(04), 146–157. https://doi.org/10.24052/JBRMR/V13IS04/ART-13
  • Alrawad, M., Lutfi, A., Almaiah, M. A., & Elshaer, I. A. (2022). Examining the influence of trust and perceived risk on customers intention to use NFC mobile payment system. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100070. (April),https://doi.org/10.1016/j.joitmc.2023.100070
  • Andreassen, C. S., Griffiths, M. D., Pallesen, S., Bilder, R. M., Torsheim, T., & Aboujaoude, E. (2015). The Bergen Shopping Addiction Scale: Reliability and validity of a brief screening test. Frontiers in Psychology, 6(September), 1374. https://doi.org/10.3389/fpsyg.2015.01374
  • Bae, J., Koo, D. M., & Mattila, P. (2016). Affective motives to play online games. Journal of Global Scholars of Marketing Science, 26(2), 174–184. https://doi.org/10.1080/21639159.2016.1143153
  • Baker, A. M., Donthu, N., & Kumar, V. (2016). Investigating how word of mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225–239. https://doi.org/10.1509/jmr.14.0099
  • Balakrishnan, J., & Griffiths, M. D. (2018). Loyalty towards online games, gaming addiction, and purchase intention towards online mobile in-game features. Computers in Human Behavior, 87(June), 238–246. https://doi.org/10.1016/j.chb.2018.06.002
  • Blinka, L., & Mikuška, J. (2014). The role of social motivation and sociability of gamers in online game addiction. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 8(2), 2–6. https://doi.org/10.5817/CP2014-2-6
  • Carvalho, J., Freitas, M., Oliveira, P. D., & Brito, G. (2023). Generativity, environmental activism, and pride: Antecedents of intention to buy organic food. Journal of Cleaner Production, 418(April), 138114. https://doi.org/10.1016/j.jclepro.2023.138114
  • Chen, L. S. L. (2010). The impact of perceived risk, intangibility and consumer characteristics on online game playing. Computers in Human Behavior, 26(6), 1607–1613. https://doi.org/10.1016/j.chb.2010.06.008
  • Chen, L. S. L., Lee, Y. H., & Wang, S. T. (2012). Impact of intangibility on perceived risk associated with online games. Behaviour & Information Technology, 31(10), 1021–1032. https://doi.org/10.1080/0144929X.2011.624640
  • Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant and best-practice recommendations. Asia Pacific Journal of Management. 1-39. https://doi.org/10.1007/s104
  • Cheung, M. L., Leung, W. K. S., Chang, L. M. K., & Shi, S. (2021). Driving loyalty intentions of mobile games: A motivation theory perspective. Quality & Quantity, 57 (S4), 657–682. https://doi.org/10.1007/s11135-021-01120-y
  • Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109–128. https://doi.org/10.1016/j.chb.2018.04.017
  • Dahabiyeh, L., Najjar, M. S., & Agrawal, D. (2020). The effect of risk levels on technology adoption decision: The case of online games. Information Technology & People, 33(5), 1445–1464. https://doi.org/10.1108/ITP-09-2019-0455
  • Esports Scharts. (2020). PUBG mobile campus championship Indonesia 2020. https://Escharts.Com/Tournaments/Pubg-Mobile/Pubg-Mobile-Campus-Championship-Indonesia-2020.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fournier, L., Schimmenti, A., Musetti, A., Boursier, V., Flayelle, M., Cataldo, I., Starcevic, V., & Billieux, J. (2023). Deconstructing the components model of addiction: An illustration through “addictive” use of social media. Addictive Behaviors, 143(January), 107694. https://doi.org/10.1016/j.addbeh.2023.107694
  • Fu, J. R., Ju, P. H., & Hsu, C. W. (2015). Understanding why consumers engage in electronic word-of-mouth communication: Perspectives from theory of planned behavior and justice theory. Electronic Commerce Research and Applications, 14(6), 616–630. https://doi.org/10.1016/j.elerap.2015.09.003
  • Gillani, S. M. F. (2021). Evaluation of games monetization approaches: A case study on PlayersUknown’s Battlegrounds (PUBG). [Master’s thesis]. Dalarna University.
  • Griffiths, M. D. (2010). The role of context in online gaming excess and addiction: Some case study evidence. International Journal of Mental Health and Addiction, 8(1), 119–125. https://doi.org/10.1007/s11469-009-9229-x
  • Gumasing, M. J. J., Ong, A. K. S., Sy, M. A. P. C., Prasetyo, Y. T., & Persada, S. F. (2023). A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines. Heliyon, 9(10), e20644. https://doi.org/10.1016/j.heliyon.2023.e20644
  • Haberlin, K. A., & Atkin, D. J. (2022). Mobile gaming and Internet addiction: When is playing no longer just fun and games? Computers in Human Behavior, 126, 106989. https://doi.org/10.1016/j.chb.2021.106989
  • Hair, J. F., Jr., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
  • Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
  • Hamari, J., Alha, K., Järvelä, S., Kivikangas, J. M., Koivisto, J., & Paavilainen, J. (2017). Why do players buy in-game content? An empirical study on concrete purchase motivations. Computers in Human Behavior, 68, 538–546. https://doi.org/10.1016/j.chb.2016.11.045
  • Haryanto, B., Suprapti, A., R., Taufik, A., & Fenitra, R. M. (2022). Moderating role of transformational leadership in the relationship between work conflict and employee performance. Cogent Business & Management, 9(1), 1-27. https://doi.org/10.1080/23311975.2022.2105578
  • Haque, A., & Tarofder, A. K. (2020). What impact consumers’ negative EWOM purchase intention? Evidence from Malaysia. International Journal of Advanced Science and Technology, 29(9), 310–325.
  • Hegner, S. M., Fetscherin, M., & Delzen, M. v (2017). Determinants and outcomes of brand hate. Journal of Product & Brand Management, 26(1), 13–25. https://doi.org/10.1108/JPBM-01-2016-1070
  • Hendrawan, V. (2021). PUBG Mobile jadi game mobile pemilik pendapatan tertinggi sepanjang 2021 [PUBG Mobile is the mobile game with the highest revenue throughout 2021]. https://www.oneesports.id/pubg/pubg-mobile-pendapatan-tertinggi-2021/
  • Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/s00180-012-0317-1
  • Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927–939. https://doi.org/10.1016/j.ijinfomgt.2013.08.007
  • Hsiao, K. L., & Chen, C. C. (2016). What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty. Electronic Commerce Research and Applications, 16, 18–29. https://doi.org/10.1016/j.elerap.2016.01.001
  • 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
  • Hsu, C. L., & Lin, J. C. C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42–53. https://doi.org/10.1016/j.techfore.2016.04.012
  • Huang, L. Y., & Hsieh, Y. J. (2011). Predicting online game loyalty based on need gratification and experiential motives. Internet Research, 21(5), 581–598.
  • Huang, M., Ali, R., & Liao, J. (2017). The effect of user experience in online games on word of mouth: A pleasure-arousal-dominance (PAD) model perspective. Computers in Human Behavior, 75, 329–338. https://doi.org/10.1016/j.chb.2017.05.015
  • Israeli, A. A., Lee, S. A., & Bolden, E. C. (2019). The impact of escalating service failures and internet addiction behavior on young and older customers’ negative eWOM. Journal of Hospitality and Tourism Management, 39, 150–157. https://doi.org/10.1016/j.jhtm.2019.04.006
  • Kaya, A., Karataş, N., Gürcan, M., & İşler Dalgıç, A. (2022). A grounded theory study to explore the digital gameplay experiences of adolescents at risk of addiction in Turkey. Journal of Pediatric Nursing, 63, e36–e43. https://doi.org/10.1016/j.pedn.2021.10.019
  • Kim, S. S. Y., Huang-Isherwood, K. M., Zheng, W., & Williams, D. (2022). The art of being together: How group play can increase reciprocity, social capital, and social status in a multiplayer online game. Computers in Human Behavior, 133, 107291. https://doi.org/10.1016/j.chb.2022.107291
  • Kuss, D. J., & Griffiths, M. D. (2012). Adolescent online gaming addiction. Education and Health, 30(1), 15–17.
  • Lee, S., Park, J., & Bryan Lee, S. (2016). The interplay of internet addiction and compulsive shopping behaviors. Social Behavior and Personality: An International Journal, 44(11), 1901–1912. https://doi.org/10.2224/sbp.2016.44.11.1901
  • Liao, G. Y., Nguyen, H. V., Cheng, T. C. E., & Teng, C. I. (2020). How do social networks foster online gamer loyalty? Perspective of weak/strong tie theory. Telematics and Informatics, 53(February), 101437. https://doi.org/10.1016/j.tele.2020.101437
  • Liao, G. Y., & Teng, C. (2017). You can make it: Expectancy for growth increases online gamer loyalty. International Journal of Electronic Commerce, 21(3), 398–423. https://doi.org/10.1080/10864415.2016.1319227
  • Marakanon, L., & Panjakajornsak, V. (2017). Perceived quality, perceived risk and customer trust affecting customer loyalty of environmentally friendly electronics products. Kasetsart Journal of Social Sciences, 38(1), 24–30. https://doi.org/10.1016/j.kjss.2016.08.012
  • Maraz, A., Griffiths, M. D., & Demetrovics, Z. (2016). The prevalence of compulsive buying: A meta-analysis. Addiction, 111(3), 408–419. https://doi.org/10.1111/add.13223
  • Nikolinakou, A., Phua, J., & Kwon, E. S. (2024). What drives addiction on social media sites? The relationships between psychological well-being states, social media addiction, brand addiction and impulse buying on social media. Computers in Human Behavior, 153, 108086. https://doi.org/10.1016/j.chb.2023.108086
  • Putra, R. Y., & Wahyudi, L. (2022). What drives online gaming addiction? Loyalty check and in-app purchase intention. Journal of Economics, Finance and Management Studies, 05(04), 1136–1146. https://doi.org/10.47191/jefms/v5-i4-22
  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
  • Purwaningsih, R., & Adison, B. (2017). Path analysis method to identify factors affecting consumer interest on online shopping. In Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment (pp. 20–25). IEEE. https://doi.org/10.1109/ICSITech.2016.7852601
  • Puspitasari, N. B., P, S. N. W., Amyhorsea, D. N., & Susanty, A. (2018). Consumer ‘ s buying decision -making process in E-commerce. E3S Web of Conferences, 31(11003), 11003. https://doi.org/10.1051/e3sconf/20183111003
  • Ravoniarison, A., & Benito, C. (2019). Mobile games: Players ‘ experiences with in-app purchases. Journal of Research in Interactive Marketing, 13(1), 62–78. https://doi.org/10.1108/JRIM-06-2016-0060
  • Renny Guritno, S., & Siringoringo, H. 2013. Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia - Social and Behavioral Sciences, 81, 212–216. https://doi.org/10.1016/j.sbspro.2013.06.415
  • Schwartz, M. S. (2016). Ethical decision-making theory: An integrated approach. Journal of Business Ethics, 139(4), 755–776. https://doi.org/10.1007/s10551-015-2886-8
  • Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
  • SensorTower. (2021). Data that drives app growth. https://App.Sensortower.Com/Ios/Id/Tencent-Mobile-International-Limited/App/Pubg-Mobile-Arcane/1330123889/Overview
  • Silaban, P. H., Chen, W. K., Nababan, T. S., Eunike, I. J., & Silalahi, A. D. K. (2022). How travel vlogs on YouTube influence consumer behavior: A use and gratification perspective and customer engagement. Human Behavior and Emerging Technologies, 2022, 1–16. https://doi.org/10.1155/2022/4432977
  • Silaban, P. H., Chen, W. K., Sormin, S., Yehezkiel, Y. N., & Silalahi, A. D. K. (2023). How does electronic word of mouth on Instagram affect travel behaviour in Indonesia: A perspective of the information adoption model. Cogent Social Sciences, 9(1), 1-16. https://doi.org/10.1080/23311886.2022.2163525
  • Su, Y. S., Chiang, W. L., James Lee, C. T., & Chang, H. C. (2016). The effect of flow experience on player loyalty in mobile game application. Computers in Human Behavior, 63, 240–248. https://doi.org/10.1016/j.chb.2016.05.049
  • Syvertsen, A., Ortiz de Gortari, A. B., King, D. L., & Pallesen, S. (2022). Problem mobile gaming: The role of mobile gaming habits, context, and platform. Nordisk Alkohol- & Narkotikatidskrift: NAT, 39(4), 362–378. https://doi.org/10.1177/14550725221083189
  • Tarafdar, M., Maier, C., Laumer, S., & Weitzel, T. (2020). Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior. Information Systems Journal, 30(1), 96–124. https://doi.org/10.1111/isj.12253
  • Teng, C. I. (2018). Look to the future: Enhancing online gamer loyalty from the perspective of the theory of consumption values. Decision Support Systems, 114, 49–60. https://doi.org/10.1016/j.dss.2018.08.007
  • Teng, C. I., Huang, T. L., Huang, G. L., Dennis, A. R., & Liao, G. Y. (2024). External articulation and internal stabilization: Using identification stages to enhance online gamer loyalty. Decision Support Systems, 176, 114077. https://doi.org/10.1016/j.dss.2023.114077
  • Tham, J., Ab Yazid, M. S., Khatibi, A. A., & Azam, S. F. (2017). Internet and data security–understanding customer perception on trusting virtual banking security in Malaysia. European Journal of Social Sciences Studies, 2(7), 186–207. https://doi.org/10.46827/ejsss.v0i0.199
  • Toozandehjani, A., Mahmoodi, Z., Rahimzadeh, M., Jashni Motlagh, A., Akbari Kamrani, M., & Esmaelzadeh Saeieh, S. (2021). The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model. Heliyon, 7(5), e06987. https://doi.org/10.1016/j.heliyon.2021.e06987
  • Tsang, S., Royse, C. F., & Terkawi, A. S. (2017). Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi Journal of Anaesthesia, 11(Suppl 1), S80–S89. https://doi.org/10.4103/sja.SJA_203_17
  • Trihendrawan, N. (2021). Industri Game Indonesia Penyumbang Pendapatan Terbesar [The Indonesian game industry is the biggest contributor to revenue], Sindonews.com, https://tekno.sindonews.com/read/503976/765/industri-game-indonesia-penyumbang-pendapatan-terbesar-1628262490
  • Wei, H., Wu, N., Wang, T., Zhou, Z., Cui, N., Xu, L., & Yang, X. (2017). Be loyal but not addicted: Effect of online game social migration on game loyalty and addiction. Journal of Consumer Behaviour, 16(4), 343–351. https://doi.org/10.1002/cb.1637
  • Wei, P. S., & Lu, H. P. (2014). Why do people play mobile social games? An examination of network externalities and of uses and gratifications. Internet Research, 24(3), 313–331. https://doi.org/10.1108/IntR-04-2013-0082
  • Weinstein, A., Maraz, A., Griffiths, M. D., Lejoyeux, M., & Demetrovics, Z. (2016). Compulsive buying—features and characteristics of addiction. In Neuropathology of drug addictions and substance misuse (pp. 993-1007). Academic Press. https://doi.org/10.1016/B978-0-12-800634-4.00098-6
  • Weisstein, F. L., Kukar-Kinney, M., & Monroe, K. B. (2016). Determinants of consumers’ response to pay-what-you-want pricing strategy on the Internet. Journal of Business Research, 69(10), 4313–4320. https://doi.org/10.1016/j.jbusres.2016.04.005
  • Wiguna, K. (2024). Perpres 19/2024 terbit, Apa dampaknya Bagi industi gim nasional? [Presidential Decree 19/2024 issued, what impact will it have on the national games industry?]. Primakara University. https://primakara.ac.id/blog/berita/perpres-19-2024-terbit-apa-dampaknya-bagi-industri-gim-nasional
  • Wijman, T. (2021). Global games market to generate $175.8 billion in 2021; despite a slight decline, the market is on track to surpass $200 billion in 2023. https://newzoo.com/resources/blog/global-games-market-to-generate-175-8-billion-in-2021-despite-a-slight-decline-the-market-is-on-track-to-surpass-200-billion-in-2023
  • Yasir, J. A., & Agus, A. A. (2021, October). Effect of gaming addiction, game loyalty, and gamer motivation on intention to purchase online mobile in-game features: Case study of PUBG mobile. In 2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 1–9). IEEE. https://doi.org/10.1109/ICACSIS53237.2021.9631341