Abstract
Mobile games are video games that are typically played on any portable devices including mobile phones, such as feature phones or smartphones; tablets; personal digital assistants, which are able to handle game consoles; and portable media players with internet connectivity. Increasingly, people are becoming addicted to such mobile gaming. Not many studies are available that have investigated the factors responsible for such addiction, especially social influence and motivation aspects. There is a huge interest among practitioners, researchers, and academicians to understand the antecedents and consequences of people’s addiction to mobile games. Therefore, the aim of this study is to investigate the antecedents and consequences of addiction to mobile games. With the help of social exchange theory, social networking theory, motivational theory and technology acceptance model, a theoretical model has been proposed, which is subsequently validated using partial least squares structural equation modelling on the feedback from 322 respondents who are mobile game players. The study finds that social influence has a significant positive impact on both hedonic and utilitarian attitudes of people towards playing mobile games. With different factors influencing them to play mobile games frequently, these players eventually become addicted to mobile games.
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References
Ahn D, Jeon S, Yoo B (2018) What’s your real age? An empirical analysis of identity fraud in online game. Inf Syst E-Bus Manage 16:775–789
Ajzen I, Fishbein M (2005) The influence of attitudes on Behaviour. In: Albarracín D, Johnson BT, Zanna MP (eds) The handbook of attitudes. Lawrence Erlbaum Associates Publishers, pp 173–221
Alha K, Koskinen E, Paavilainen J, Hamari J, Kinnunen J (2014) Free-to-play games: professionals’ perspectives. Proceedings of 2014 International DiGRA Nordic Conference, Gotland, May 29–30
Al-Samarraie H, Bello K-A, Alzahrani AI, Smith AP, Emele C (2021) Young users’ social media addiction: causes, consequences and preventions. Inf Technol People. https://doi.org/10.1108/ITP-11-2020-0753
Al-Zyoud MF, Mert İS (2019) Does employees’ psychological capital buffer the negative effects of incivility? EuroMed J Bus 14(3):239–250
Armstrong JS, Overton TS (1977) Estimating nonresponse bias in mail surveys. J Mark Res 14(3):396–402
Ayandele O, Popoola OA, Oladiji TO (2020) Addictive use of smartphone, depression and anxiety among female undergraduates in Nigeria: a cross-sectional study. J Health Res 34(5):443–453
Bae J, Park H-H, Koo D-M (2019) Perceived CSR initiatives and intention to purchase game items: the motivational mechanism of self-esteem and compassion. Internet Res 29(2):329–348
Bouwman H, Carlsson C, Walden P (2009) Reconsidering the actual and future use of mobile services. Inf Syst E-Bus Manage 7:301–317
Boyd DM, Ellison NB (2008) Social network sites: definition, history, and scholarship. J Comput-Mediat Commun 13(1):210–230
Cameron P (1969) Age parameters of young adult, middle-aged, old, and aged. J Gerontol 24(2):201–202
Chang C-C, Chin Y-C (2011) Predicting the usage intention of social network games: an intrinsic-extrinsic motivation. Int J Online Market 1(13):29–37
Chatterjee S (2015) Security and privacy issues in E-Commerce: A proposed guidelines to mitigate the risk. IEEE International Advance Computing Conference (IACC). 393–396. https://doi.org/10.1109/IADCC.2015.7154737
Chatterjee S (2019) Is data privacy a fundamental right in India? An analysis and recommendations from policy and legal perspective. Int J Law Manage 61(1):170–190
Chatterjee S (2020) Antecedents of phubbing: from technological and psychological perspectives. J Syst Inf Technol 22(2):161–178
Chatterjee S (2021a) Dark side of online social games (OSG) using Facebook platform: effect of age, gender, and identity as moderators. Inf Technol People 34(7):1800–1818
Chatterjee S (2021b) Impact of addiction of online platforms on quality of life: age and gender as moderators. Australasian J Inf Syst 25. https://doi.org/10.3127/ajis.v25i0.2761
Chaudhuri R, Chatterjee S, Vrontis D (2022) Antecedents of privacy concerns and online information disclosure: Moderating role of government regulation. Euromed Journal of Business, In Press. https://doi.org/10.1108/EMJB-11-2021-0181
Chen A, Lu Y, Wang B (2016) Enhancing perceived enjoyment in social games through social and gaming factors. Inf Technol People 29(1):99–119
Chen A, Roberts N (2019) Connecting personality traits to social networking site addiction: the mediating role of motive. Inf Technol People 33(2):633–656
Chen J, Tang L, Tian H, Ou R, Wang J, Chen Q (2022) The effect of mobile business simulation games in entrepreneurship education: a quasi-experiment. Library Hi Tech, In Press. https://doi.org/10.1108/LHT-12-2021-0509
Chen PY, Chang CC (2010) The analysis of service acceptance framework for social games based on extensive technology acceptance model. Proceedings of 10th Technology Management for Global Economic Growth, IEEE, Phuket
Collier MR (1993) A mathematical model of habituation and addiction. Int J Addict 28(1):175–185
Davis FD (1989) Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q 13(3):319–340
Deb M, Lomo-David E (2014) An empirical examination of customers’ adoption of -mbanking in India. J Market Intell Plan 32(4):475–494
Deci EL, Ryan RM (1985) Intrinsic motivation and self-determination in human behavior. Plenum, New York, NY
Delistavrou A, Katrandjiev H, Sadeh H, Tilikidou I (2019) Exploring ethical consumption in different geographical places. EuroMed J Bus 14(3):221–238
Dwivedi YK, Rana NP (2020) Social media as a tool of knowledge sharing in academia: an empirical study using valance, instrumentality, and expectancy (VIE) approach. J Knowl Manage 24(10):2531–2552
Feijoo C, Gómez-Barroso J-L, Aguado JM, Ramos S (2012) Mobile gaming: industry challenges and policy implications. Telecommun Policy 36(3):212–221
Fishbein M, Ajzen I (1980) Understanding attitudes and predicting consumer behavior. Prentice Hall, Englewood Cliffs, NJ, pp 148–172
Fisher RJ, Price LL (1992) An investigation into the social context of early adoption behavior. J Consumer Re 19(3):477–486
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Market Res 18(1):39–50
Galati A, Vrontis D, Giorlando B, Giacomarra M, Crescimanno M (2021) Exploring the common blockchain adoption enablers: the case of three italian wineries. Int J Wine Bus Res 33(4):578–596
Ghazali EM, Mutum DS, Woon MY (2019) Multiple sequential mediation in an extended uses and gratifications model of augmented reality game Pokemon Go. Internet Res 29(3):504–528
Gong M, Xu M, Luqman A, Yu, Masood A (2020a) Understanding the role of individual differences in mobile SNS addiction. Kybernetes 49(12):3069–3097
Gong X, Zhang KZK, Chen C, Cheung CMK, Lee MKO (2020b) Antecedents and consequences of excessive online social gaming: a social learning perspective. Inform Technol People 33(2):657–688
Gunter B (2019) Children and mobile phones: adoption, use, impact, and control. Emerald Publishing, Bingley
Hair JF, Howard MC, Nitzl C (2020) Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. J Bus Res 109:101–110
Handa M, Ahuja P (2020) Disconnect to detox: a study of smartphone addiction among young adults in India. Young Consumers 21(3):273–287
Heerink M, Kröse B, Evers V, Wielinga B (2010) Assessing acceptance of assistive social agent technology by older adults: the Almere model. Int J Soc Robotics 2(4):361–375
Homans G (1961) Social behavior: its elementary forms. Harcourt Brace Jovanovich, New York, NY
Hsiao KL (2017) Compulsive mobile application usage and technostress: the role of personality traits. Online Inf Rev 41(2):272–295
Hu L, Bentler PM (1999) Fit indices in covariance structure modelling: sensitivity to under parameterized model misspecification. Psycholog Methods 3(4):424–453
Jimenez N, San-Martin S, Camarero C, San Jose Cabezudo R (2019) What kind of video gamer are you? J Consumer Mark 36(1):218–227
Jordan T (2019) Does online anonymity undermine the sense of personal responsibility? Media Cult Soc 41(4):572–577
Kar AK, Chatterjee S, Mustafa SZ (2019) Securing IoT devices in smart cities of India: from ethical and enterprise information system management perspective. J Enterp Inf Syst 15(4):585–615
Ketokivi MA, Schroeder RG (2004) Perceptual measures of performance: fact or fiction? J Oper Manag 22(3):247–264
Khan NF, Khan MN (2021) A bibliometric analysis of peer-reviewed literature on smartphone addiction and future research agenda. Asia-Pac J Bus Adm, In Press. https://doi.org/10.1108/APJBA-09-2021-0430
Kim E, Kim EJ, Cho CI (2017) Structural equation model of smartphone addiction based on adult attachment theory: mediating effects of loneliness and depression. Asian Nurs Res 11(2):92–97
Ko M, Yang S, Lee J, Heizmann C, Jeong J, Lee U (2015) NUGU: a group-based intervention app for improving self-regulation of limiting smartphone use. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work and Social Computing, ACM, Vancouver, BC, Pp. 1235–1245
Kock N, Hadaya P (2018) Minimum sample size estimation in PLS-SEM: the inverse square root and gamma-exponential methods. Inf Syst J 28(1):227–261
Lee J-y, Ko DW, Lee H (2019) Loneliness, regulatory focus, inter-personal competence, and online game addiction: a moderated mediation model. Internet Res 29(2):381–394
Lee Y-H, Wohn DY (2012) Are there cultural differences in how we play? Examining cultural effects on playing social network games. Comput Hum Behav 28(4):1307–1314
Liang T, Ho Y, Li Y, Turban E (2011) What drives social commerce: the role of social support and relationship quality. Int J Electron Commer 16(2):69–90
Lindell MK, Whitney DJ (2001) Accounting for common method variance in cross-sectional research designs. J Appl Psychol 86(1):114–121
Mishra A, Maheswarappa SS, Maity M, Samu S (2018) Adolescent’s eWOM intentions: an investigation into the roles of peers, the internet and gender. J Bus Res 86:394–405
Moon Y, Armstrong DJ (2020) Service quality factors affecting customer attitudes in online-to-offline commerce. Inf Syst E-Bus Manage 18:1–34
Muniz AM, O’Guinn TC (2001) Brand community. J Consumer Res 27(4):412–432
Oh Y, Oh J (2017) A critical incident approach to consumer response in the smartphone market: product, service, and contents. Inf Syst E-Bus Manage 15:577–597
Ortiz SM (2019) You can say I got desensitized to it: how men of colour cope with everyday racism in online gaming. Sociol Perspect 62(4):572–588
Paavilainen J, Hamari J, Stenros J, Kinnunen J (2013) Social network games: players’ perspectives. Simul Gaming 46(6):794–820
Park J, Ko D (2022) Catch me if you can: effects of AR-enhanced presence on the mobile game experience. Internet Res 32(4):1235–1263
Park WK (2014) An exploitative study on college students’ addiction: using psychological variables as predictors. Soc Psychol Res 27(1):95–125
Peng DX, Lai F (2012) Using partial least squares in operations management research: a practical guideline and summary of past research. J Oper Manage 30(6):467–480
Piccolo R, Chaudhuri R, Vrontis D (2021) Enterprise social network for knowledge sharing in MNCs: examining the role of knowledge contributors and knowledge seekers for cross-country collaboration. J Int Manag 27(1):100827
Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–881
Prochnow T, Patterson MS, Hartnell L (2020) Social support, depressive symptoms, and online gaming network communication. Mental Health Soc Inclusion 24(1):49–58
Rana NP, Dwivedi YK (2021) Assessing Consumers’ Co-production and Future Participation On Value Co‐creation and Business Benefit: an FPCB Model Perspective. Information Systems Frontiers. In Press. https://doi.org/10.1007/s10796-021-10104-0
Rigdon EE, Sarstedt M, Ringle M (2017) On comparing results from CB-SEM and PLS-SEM: five perspectives and five recommendations. Mark ZFP 39(3):4–16
Rogers EM (2003) Diffusion innov, 5th edn. The Free Press, New York, NY
Ryan RM, Deci EL (2000) Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol 25(1):54–67
San-Martín S, Jiménez N (2021) What colour are you? Smartphone addiction traffic lights and user profiles. Eur J Manag Bus Econ, In Press. https://doi.org/10.1108/EJMBE-02-2021-0069
Sarstedt M, Ringle CM, Henseler J, Hair JF (2014) On the emancipation of PLS-SEM: a commentary on Rigdon (2012). Long Range Plann 47(3):154–160
Scott JP (2000) Social network analysis: a handbook, 2nd edn. Sage Publications, Thousand Oaks, CA
Shalvey K (2012) Zynga readies its own social network site keeps strong Facebook ties game maker first outside site to carry Facebook ads. ProQuest, Investor’s Business Daily, Los Angeles, CA
Shiau W-L, Luo MM (2012) Factors affecting online group buying intention and satisfaction: a social exchange theory perspective. Comput Hum Behav 28(6):2431–2444
Shin D-H, Kim W-Y (2008) Applying the technology acceptance model and flow theory to Cyworld user behavior: implication of the web 2.0 user acceptance. Cyber Psychol Behav 11(3):378–382
Tamilmani K, Rana NP, Sharma A (2021) The effect of AI-based CRM on organization performance and competitive advantage: an empirical analysis in the B2B context. Ind Mark Manage 97(8):205–219
Tseng FC, Huang HC, Teng CI (2015) How do online game communities retain gamers? Social presence and social capital perspectives. J Comput-Mediat Commun 20(6):601–614
Vallerand RJ (1997) Toward a hierarchical model of intrinsic and extrinsic motivation. Adv Exp Soc Psychol 29(3):271–360
Van der Heijden H (2003) Factors influencing the usage of websites: the case of a generic portal in the Netherlands. Inf Manage 40(6):541–549
Varshney U (2004) Group-oriented mobile services: requirements and solutions. Inf Syst E-Bus Manage 2(1):325–335
Vrontis D, Chatterjee S, Chaudhuri R (2022) Big data analytics in strategic sales performance: Mediating role of CRM capability and moderating role of leadership support. Euromed Journal of Business, In Press. https://doi.org/10.1108/EMJB-07-2021-0105
Wamba SF, Gunasekaran A, Akter S, Dubey R (2019) The performance effects of big data analytics and supply chain ambidexterity: the moderating effect of environmental dynamism. Int J Prod Econ 222(4):1–22
Wang C, Zhang J, Lee MKO (2021) Time flies when chatting online: a social structure and social learning model to understand excessive use of mobile instant messaging. Inf Technol People, In Press. https://doi.org/10.1108/ITP-09-2020-0624
Wang L (2022) Understanding peer recommendation in mobile social games: the role of needs–supplies fit and game identification. Info Tech People 35(2):677–702
Willaby HW, Costa DSJ, Burns BD, MacCann C, Roberts RD (2015) Testing complex models with small sample sizes: a historical overview and empirical demonstration of what partial least squares (PLS) can offer differential psychology. Pers Individ Differ 84:73–78
Xue Y, Dong Y, Luo M, Mo D, Dong W, Zhang Z, Liang H (2018) Investigating the impact of mobile SNS addiction on individual’s self-rated health. Internet Res 28(2):278–292
Yang H, Lee H (2019) Understanding user behavior of virtual personal assistant devices. Inf Syst E-Bus Manage 17:65–87
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Chatterjee, S., Chaudhuri, R. & Vrontis, D. Examining the antecedents and consequences of addiction to mobile games: an empirical study. Inf Syst E-Bus Manage (2022). https://doi.org/10.1007/s10257-022-00614-y
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DOI: https://doi.org/10.1007/s10257-022-00614-y