{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T16:42:46Z","timestamp":1776962566856,"version":"3.51.4"},"reference-count":70,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In recent years, the enhancement in technology has been envisioning for people to complete tasks in an easier way. Every manufacturing industry requires heavy machinery to accomplish tasks in a symmetric and systematic way, which is much easier with the help of advancement in the technology. The technological advancement directly affects human life as a result. It is found that humans are now fully dependent on it. The online game industry is one example of technology breakthrough. It is now a prominent industry to develop online games at world level. In this paper, our main objective is to analyze major factors which encourage mobile games industry to expand. Analyzing the system and symmetric relations inside can be done into two phases. The first phase is through a TAM Model, which is a very efficient way to solve statistical problems, and the second phase is with machine learning (ML) techniques, such as SVM, logistic regression, etc. Both strategies are popular and efficient in analyzing a system while maintaining the symmetry in a better way. Therefore, according to results from both the TAM model and ML approach, it is clear that perceived usefulness, attitude, and symmetric flow are important factors for game industry. The analytics provide a clear insight that perceived usefulness is an important parameter over behavior intention for the online mobile game industry.<\/jats:p>","DOI":"10.3390\/sym13081545","type":"journal-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T23:19:33Z","timestamp":1629760773000},"page":"1545","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques"],"prefix":"10.3390","volume":"13","author":[{"given":"Shaifali","family":"Chauhan","sequence":"first","affiliation":[{"name":"Prestige Institute of Management, Gwalior 474020, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0878-4615","authenticated-orcid":false,"given":"Mohit","family":"Mittal","sequence":"additional","affiliation":[{"name":"Centre de Recherche en Informatique, Signal et Automatique de Lille, INRIA, 59655 Villeneuve-d\u2019Ascq, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9073-5347","authenticated-orcid":false,"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[{"name":"Faculty of Applied Mathematics, Silesian University of Technology, 44100 Gliwice, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swadha","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6097-4016","authenticated-orcid":false,"given":"Roc\u00edo","family":"P\u00e9rez de Prado","sequence":"additional","affiliation":[{"name":"Telecommunication Engineering Department, University of Ja\u00e9n, 23071 Ja\u00e9n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mittal, M., and Kumar, K. (2014, January 14\u201316). Network Lifetime Enhancement of Homogeneous Sensor Network Using ART1 Neural Network. Proceedings of the International Conference on Computational Intelligence and Communication Networks, Bhopal, India.","DOI":"10.1109\/CICN.2014.110"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"198","DOI":"10.31620\/JCCC.12.20\/18","article-title":"An Analytical Study On Impluse Buying For Online Shopping during COVID-19","volume":"12","author":"Chauhan","year":"2020","journal-title":"J. Content Community Commun."},{"key":"ref_3","first-page":"1","article-title":"Performance Evaluation of Cryptographic Algorithms","volume":"41","author":"Mittal","year":"2012","journal-title":"Int. J. Comput. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4108\/eai.11-6-2019.160835","article-title":"A Survey on Energy-Aware Wireless Sensor Routing Protocols","volume":"6","author":"Mittal","year":"2019","journal-title":"Eai Endorsed Trans. Energy Web"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Mittal, M., Siriaraya, P., Lee, C., Kawai, Y., Yoshikawa, T., and Shimojo, S. (2019). Accurate Spatial Mapping of Social Media with Physical Locations. IEEE BSD Big Data.","DOI":"10.1109\/BigData47090.2019.9006477"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Aljumaili, M.R.M., and Friesen, M. (2019, January 11\u201314). Serious Games and ML for Detecting MCI. Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada.","DOI":"10.1109\/GlobalSIP45357.2019.8969123"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"e3997","DOI":"10.1002\/ett.3997","article-title":"Analysis of security and energy efficiency for shortest route discovery in low-energy adaptive clustering hierarchy protocol using Levenberg-Marquardt neural network and gated recurrent unit for intrusion detection system","volume":"32","author":"Mittal","year":"2020","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Mittal, M.S., Srinivasan, M.R., and Vyas, O.P. (2017, January 5\u20138). Type-2 fuzzy ontology-based multi-agents system for wireless sensor network. Proceedings of the TENCON 2017\u20142017 IEEE Region 10 Conference, Penang, Malaysia.","DOI":"10.1109\/TENCON.2017.8228350"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wang, Y., Siriaraya, P., Mittal, M., Xie, H., and Kawai, Y. (2020, January 13\u201314). Understanding Multilingual Correlation of Geo-Tagged Tweets for POI Recommendation. Proceedings of the International Symposium on Web and Wireless Geographical Information Systems, Wuhan, China.","DOI":"10.1007\/978-3-030-60952-8_14"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Mittal, M.L.K., Saraswat, C.I., and Anajemba, J.H. (2019, January 18\u201319). A Neuro-Fuzzy Approach for Intrusion Detection in Energy Efficient Sensor Routing. Proceedings of the 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India.","DOI":"10.1109\/IoT-SIU.2019.8777501"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Mittal, M.K.S. (2019, January 29\u201330). Performance Evaluation of LEACH Protocol Based on Data Clustering Algorithms. Proceedings of the Proceedings of 2nd International Conference on Communication, Computing and Networking, Chandigarh, India.","DOI":"10.1007\/978-981-13-1217-5_14"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Gupta, S.M.M., and Padha, A. (2017, January 11\u201312). Predictive Analytics of Sensor Data Based on Supervised Machine Learning Algorithms. Proceedings of the 2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS), Jammu, India.","DOI":"10.1109\/ICNGCIS.2017.12"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Mittal, M., and Vijayal, S. (2017, January 11\u201313). Detection of attacks in IoT based on ontology using SPARQL. Proceedings of the 7th International Conference on Communication Systems and Network Technologies (CSNT), Nagpur, India.","DOI":"10.1109\/CSNT.2017.8418538"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Brown, J.A., Cuzzocrea, A., Kresta, M., Kristjanson, K.D., Leung, C.K., and Tebinka, T.W. (2017, January 18\u201321). A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data. Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, Mexico.","DOI":"10.1109\/ICMLA.2017.00-87"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1109\/TCIAIG.2010.2052102","article-title":"Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution","volume":"2","author":"Cardamone","year":"2010","journal-title":"IEEE Trans. Comput. Intell. Games"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1093\/bioinformatics\/btz370","article-title":"Learning a mixture of microbial networks using minorization\u2013maximization","volume":"35","author":"Tavakoli","year":"2019","journal-title":"Bioinformatics"},{"key":"ref_17","unstructured":"Jahanshahi, A. (2019). TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA. arXiv."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1016\/j.aej.2020.11.043","article-title":"Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline\u2019s scale layer thickness","volume":"60","author":"Roshani","year":"2021","journal-title":"Alex. Eng. J."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Voghoei, S., Tonekaboni, N.H., Yazdansepas, D., and Arabnia, H.R. (2019, January 5\u20137). University Online Courses: Correlation between Students\u2019 Participation Rate and Academic Performance. Proceedings of the International Conference on Computational Science and Computational Intelligence, Las Vegas, NV, USA.","DOI":"10.1109\/CSCI49370.2019.00147"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/j.net.2020.09.015","article-title":"Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products","volume":"53","author":"Roshani","year":"2021","journal-title":"Nucl. Eng. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Chauhan, S., Banerjee, R., Chakraborty, C., Mittal, M., Shiva, A., and Ravi, V. (2021). A self-congruence and impulse buying effect on user\u2019s shopping behaviour over social networking sites: An empirical study. Int. J. Pervasive Comput. Commun.","DOI":"10.1108\/IJPCC-01-2021-0013"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Baykal, O., and Alpaslan, F.N. (2018, January 21\u201324). Supervised Learning in Football Game Environments Using Artificial Neural Networks. Proceedings of the International Conference on Computer Science and Engineering (UBMK), Chiang Mai, Thailand.","DOI":"10.1109\/UBMK.2018.8566428"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Persio, L., and Garbelli, M. (2021). Deep Learning and Mean-Field Games: A Stochastic Optimal Control Perspective. Symmetry, 13.","DOI":"10.3390\/sym13010014"},{"key":"ref_24","unstructured":"Cornel, J.A., Pablo, C.C., Marzan, J.A., Mercado, V.J., Fabito, B., Rodriguez, R., Octaviano, M., Oco, N., and De La Cruz, A. (December, January 29). Cyberbullying Detection for Online Games Chat Logs using Deep Learning. Proceedings of the 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Laoag, Philippines."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"B\u0103lan, O., Moise, G., Petrescu, L., Moldoveanu, A., Leordeanu, M., and Moldoveanu, F. (2020). Emotion Classification Based on Biophysical Signals and Machine Learning Techniques. Symmetry, 12.","DOI":"10.3390\/sym12010021"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ren, X., Li, L., Yu, Y., Xiong, Z., Yang, S., Du, W., and Ren, M. (2020). A Simplified Climate Change Model and Extreme Weather Model Based on a Machine Learning Method. Symmetry, 12.","DOI":"10.3390\/sym12010139"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1109\/TCIAIG.2015.2424932","article-title":"Detecting Predatory Behavior in Game Chats","volume":"7","author":"Cheong","year":"2015","journal-title":"IEEE Trans. Comput. Intell. Games"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1016\/j.chb.2010.11.010","article-title":"Why do people play social network games?","volume":"27","author":"Shin","year":"2011","journal-title":"Comput. Hum. Behav."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"22","DOI":"10.4018\/ijea.2013100102","article-title":"Why do people continue to play social network game (SNG)? An empirical study by social and emotional perspectives","volume":"5","author":"Lin","year":"2013","journal-title":"Int. J. E-Adopt."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"319","DOI":"10.2307\/249008","article-title":"Perceived usefulness, perceived ease of use, and user acceptance of information technology","volume":"13","author":"Davis","year":"1989","journal-title":"MIS Q."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1111\/j.1559-1816.1992.tb00945.x","article-title":"Extrinsic and intrinsic motivation to use computers in the workplace","volume":"22","author":"Davis","year":"1992","journal-title":"J. Appl. Soc. Psychol."},{"key":"ref_32","unstructured":"Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Addison-Wesley."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"125","DOI":"10.2307\/249443","article-title":"Personal computing: Toward a conceptual model of utilization","volume":"15","author":"Thompson","year":"1991","journal-title":"MIS Q."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/0749-5978(91)90020-T","article-title":"The theory of planned behavior","volume":"50","author":"Ajzen","year":"1991","journal-title":"Organ. Behav. Hum. Decis. Process."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2307\/30036540","article-title":"User acceptance of information technology: Toward a unified view","volume":"27","author":"Venkatesh","year":"2003","journal-title":"MIS Q."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1287\/mnsc.35.8.982","article-title":"User acceptance of computer technology: A comparison of two theoretical models","volume":"35","author":"Davis","year":"1989","journal-title":"Manag. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1016\/j.compedu.2012.03.004","article-title":"A systematic literature review of empirical evidence on computer games and serious games","volume":"59","author":"Connolly","year":"2012","journal-title":"Comput. Educ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.techfore.2015.10.024","article-title":"Investigating gameplay intention of the elderly using an extended technology acceptance model (ETAM)","volume":"107","author":"Wang","year":"2016","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1016\/j.im.2003.08.014","article-title":"Why do people play on-line games? An extended TAM with social influences and flow experience","volume":"41","author":"Hsu","year":"2004","journal-title":"Inf. Manag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1108\/14684520911001873","article-title":"Understanding the behavioural intention to play online games: An extension of the theory of planned behaviour","volume":"33","author":"Lee","year":"2009","journal-title":"Online Inf. Rev."},{"key":"ref_41","first-page":"128","article-title":"The effects of trust and enjoyment on intention to play online games","volume":"8","author":"Wu","year":"2007","journal-title":"J. Electron. Commer. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1089\/109493104322820066","article-title":"Why people continue to play online games: In search of critical design factors to increase customer loyalty to online contents","volume":"7","author":"Choi","year":"2004","journal-title":"Cyberpsychol. Behav."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.tele.2008.01.002","article-title":"Would you share? Predicting the potential use of a new technology","volume":"26","author":"Bouwman","year":"2009","journal-title":"Telemat. Inform."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.jsis.2007.08.001","article-title":"Exploring consumer adoption of mobile payments\u2014A qualitative study","volume":"16","author":"Mallat","year":"2007","journal-title":"J. Strateg. Inf. Syst."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0378-7206(01)00143-4","article-title":"Why do people use information technology? A critical review of the technology acceptance model","volume":"40","author":"Legris","year":"2003","journal-title":"Inf. Manag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1037\/0022-3514.63.5.754","article-title":"Accessibility and stability of predictors in the theory of planned behavior","volume":"63","author":"Doll","year":"1992","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/S0378-7206(02)00079-4","article-title":"Factors influencing the usage of websites: The case of a generic portal in The Netherlands","volume":"40","year":"2003","journal-title":"Inf. Manag."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.im.2007.01.001","article-title":"Determinants of adoption of mobile games under mobile broadband wireless access environment","volume":"44","author":"Ha","year":"2007","journal-title":"Inf. Manag."},{"key":"ref_49","unstructured":"Csikszentmihalyi, M., and Csikszentmihalyi, I. (2000). Optimal Experience: Psychological Studies of Flow in Consciousness, Cambridge University Press."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.chb.2008.06.002","article-title":"Exploring Chinese users\u2019 acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory","volume":"25","author":"Lu","year":"2009","journal-title":"Comput. Hum. Behav."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1037\/0022-3514.56.5.815","article-title":"Optimal experience in work and leisure","volume":"56","author":"Csikszentmihalyi","year":"1989","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_52","unstructured":"Carey, J.M. (1995). Human factors in information systems. Flow in Human-Computer Interactions: Test of a Model, Ablex Publishing Corp."},{"key":"ref_53","first-page":"11","article-title":"The role of need for cognition and mood in online flow experience","volume":"46","author":"Li","year":"2006","journal-title":"J. Comput. Inf. Syst."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0378-7206(00)00061-6","article-title":"Extending the TAM for a worldwide- web context","volume":"38","author":"Moon","year":"2001","journal-title":"Inf. Manag."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1016\/j.chb.2010.11.014","article-title":"Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China","volume":"27","author":"Liu","year":"2011","journal-title":"Comput. Hum. Behav."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1016\/j.chb.2011.12.003","article-title":"The social side of gaming: How playing online computer games creates online and offline social support","volume":"28","author":"Trepte","year":"2012","journal-title":"Comput. Hum. Behav."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1108\/JEIM-04-2012-0011","article-title":"Technology acceptance model (TAM) and social media usage: An empirical study on Facebook","volume":"27","author":"Rauniar","year":"2014","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1016\/j.jbusres.2003.10.007","article-title":"A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models","volume":"58","author":"Sharma","year":"2005","journal-title":"J. Bus. Res."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1037\/1082-989X.1.2.130","article-title":"Power Analysis and Determination of Sample Size for Covariance Structure Modeling","volume":"1","author":"MacCallum","year":"1996","journal-title":"Psychol. Methods"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10705519909540118","article-title":"Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives","volume":"6","author":"Hu","year":"1999","journal-title":"Struct. Equ. Model."},{"key":"ref_61","unstructured":"Tabachnick, B.G., and Fidell, L.S. (1996). Structural equation modeling. Using Multivariate Statistics, Pearson Education Inc.. [5th ed.]."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.paid.2006.09.022","article-title":"A time and a place for incremental fit indices","volume":"42","author":"Miles","year":"2007","journal-title":"Personal. Individ. Differ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1037\/1082-989X.7.1.64","article-title":"Principles and Practice in Reporting Statistical Equation Analyses","volume":"7","author":"McDonald","year":"2002","journal-title":"Psychol. Methods"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.tele.2013.07.001","article-title":"Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model","volume":"31","author":"Park","year":"2014","journal-title":"Telemat. Inform."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Jiang, Y.J.J., and Palmer, I.J. (2008). Computerized Interactive Gaming via Supporting Vector Machines. Int. J. Comput. Games Technol., 2008.","DOI":"10.1155\/2008\/186941"},{"key":"ref_66","unstructured":"Yun, H. (2011). Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II. arXiv."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"229","DOI":"10.17535\/crorr.2016.0016","article-title":"Predicting company growth using logistic regression and neural networks","volume":"7","year":"2016","journal-title":"Croat. Oper. Res. Rev."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1002\/asmb.446","article-title":"Analysis of regression in game theory approach","volume":"17","author":"Lipovetsky","year":"2001","journal-title":"Appl. Stochastic Models Bus. Ind."},{"key":"ref_69","unstructured":"Ding, Y.Y.Z., and Kankanhalli, A. (2014, January 24\u201328). Why do I invite friends to join: An empirical study of mobile social network game. Proceedings of the 18th Pacific Asia Conference on Information Systems, Chengdu, China."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1108\/YC-05-2020-1148","article-title":"Examining the importance of gamification, social interaction and perceived enjoyment among young female online buyers in India","volume":"22","author":"Raman","year":"2020","journal-title":"Young Consum."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/13\/8\/1545\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:49:43Z","timestamp":1760165383000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/13\/8\/1545"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":70,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["sym13081545"],"URL":"https:\/\/doi.org\/10.3390\/sym13081545","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,23]]}}}