Location-Based Mobile Gaming and Local Depression Trends: A Study of Pokémon Go

References

• Agarwal, R.; Gao, G.; DesRoches, C.; and Jha, A.K. Research commentary—The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21, 4 (2010), 796–809.
   Web of Science ®Google Scholar
• Althoff, T.; White, R.W., and Horvitz, E. Influence of Pokémon Go on physical activity: Study and implications. Journal of Medical Internet Research, 18, 12 (2016), e315.
   PubMed Web of Science ®Google Scholar
• Angrist, J.D.; and Pischke, J.-S. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton, NH: Princeton University Press, 2008.
   Google Scholar
• Aral, S.; and Nicolaides, C. Exercise contagion in a global social network. Nature Communications, 8, (2017), 14753.
   PubMed Web of Science ®Google Scholar
• Autor, D.H. Outsourcing at will: The contribution of unjust dismissal doctrine to the growth of employment outsourcing. Journal of Labor Economics, 21, 1 (2003), 1–42.
   Web of Science ®Google Scholar
• Ayers, J.W.; Althouse, B.M.; Allem, J.-P., Childers, M.A.; Zafar, W.; Latkin, C.; Ribisl, K.M.; and Brownstein, J.S. Novel surveillance of psychological distress during the Great Recession. Journal of Affective Disorders, 142, 1 (2012), 323–330.
   PubMed Web of Science ®Google Scholar
• Ayers, J.W.; Althouse, B.M.; Allem, J.-P.; Rosenquist, J.N.; and Ford, D.E. Seasonality in seeking mental health information on Google. American Journal of Preventive Medicine, 44, 5 (2013), 520–525.
   PubMed Web of Science ®Google Scholar
• Ayers, J.W.; Althouse, B.M.; Leas, E.C.; Dredze, M.; and Allem, J.-P. Internet searches for suicide following the release of 13 reasons why. JAMA Internal Medicine, 177, 10 (2017), 1527–1529.
   PubMed Web of Science ®Google Scholar
• Ayyagari, R.; Grover, V.; and Purvis, R. Technostress: Technological antecedents and implications. MIS Quarterly, 35, 4 (2011), 831–858.
   Web of Science ®Google Scholar
• Barney, L.J.; Griffiths, K.M.; and Banfield, M.A. Explicit and implicit information needs of people with depression: A qualitative investigation of problems reported on an online depression support forum. BMC Psychiatry, 11, 1 (2011), 88.
   PubMed Web of Science ®Google Scholar
• Beck, A.T.; Ward, C.H.; Mendelson, M.; Mock, J.; and Erbaugh, J. An inventory for measuring depression. Archives of General Psychiatry, 4, 6 (1961), 561–571.
   PubMed Web of Science ®Google Scholar
• Bertrand, M.; Duflo, E.; and Mullainathan, S. How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics, 119, 1 (2004), 249–275.
   Web of Science ®Google Scholar
• Boecker, H.; Sprenger, T.; Spilker, M.E., Henriksen, G; Koppenhoefer, M.; Wagner, K.J.; Valet, M.; Berthele, A.; and Tolle, T.R. The runner’s high: Opioidergic mechanisms in the human brain. Cerebral Cortex, 18, 11 (2008), 2523–2531.
   PubMed Web of Science ®Google Scholar
• Bratman, G.N.; Hamilton, J.P.; Hahn, K.S.; Daily, G.C.; and Gross, J.J. Nature experience reduces rumination and subgenual prefrontal cortex activation. Proceedings of the National Academy of Sciences, 112, 28 (2015), 8567–8572.
   PubMed Web of Science ®Google Scholar
• Brenes, G.A.; Danhauer, S.C.; Lyles, M.F.; Hogan, P.E.; and Miller, M.E. Telephone-delivered cognitive behavioral therapy and telephone-delivered nondirective supportive therapy for rural older adults with generalized anxiety disorder: A randomized clinical trial. JAMA Psychiatry, 72, 10 (2015), 1012–1020.
   PubMed Web of Science ®Google Scholar
• Brent, D.; Melhem, N.; Donohoe, M.B.; and Walker, M. The incidence and course of depression in bereaved youth 21 months after the loss of a parent to suicide, accident, or sudden natural death. American Journal of Psychiatry, 166, 7 (2009), 786–794.
   PubMed Web of Science ®Google Scholar
• Brownstein, J.S.; Freifeld, C.C.; and Madoff, L.C. Digital disease detection—harnessing the Web for public health surveillance. New England Journal of Medicine, 360, 21 (2009), 2153–2157.
   PubMed Web of Science ®Google Scholar
• Brynjolfsson, E.; Geva, T.; and Reichman, S. Crowd-squared: Amplifying the predictive power of search trend data. MIS Quarterly, 40, 4 (2016), 941–962.
   Web of Science ®Google Scholar
• Burtch, G.; Carnahan, S.; and Greenwood, B.N. Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Management Science, 64, 12 (2018), 5497–5520.
   Web of Science ®Google Scholar
• Califf, C.B.; Sarker, S.; and Sarker, S. The bright and dark sides of technostress: A mixed-methods study involving healthcare IT. MIS Quarterly, 44, 2 (2020), 809–856.
   Web of Science ®Google Scholar
• Cao, R. How “Pokemon Go” Helps Kids with Autism and Asperger’s. CNN, 2016. https://www.cnn.com/2016/08/05/health/pokemon-go-autism-aspergers/index.html. Accessed, November 17, 2021).
   Google Scholar
• Carneiro, H.A.; and Mylonakis, E. Google trends: A web-based tool for real-time surveillance of disease outbreaks. Clinical Infectious Diseases, 49, 10 (2009), 1557–1564.
   PubMed Web of Science ®Google Scholar
• Carr, L.J.; and Dunsiger, S.I. Search query data to monitor interest in behavior change: Application for public health. PLOS ONE, 7, 10 (2012), e48158.
   PubMed Web of Science ®Google Scholar
• Chan, J.; and Ghose, A. Internet’s dirty secret: Assessing the impact of online intermediaries on HIV transmission. MIS Quarterly, 38, 4 (2014), 955–976.
   Web of Science ®Google Scholar
• Chau, M.; Li, T.M.H.; Wong, P.W.C.; Xu, J.J.; Yip, P.S.F.; and Chen, H. Finding people with emotional distress in online social media: A design combining machine learning and rule-based classification. MIS Quarterly, 44, 2 (2020), 933–955.
   Web of Science ®Google Scholar
• Chen, C.; Zhang, K.Z.K.; Gong, X.; Lee, M.K.O.; and Wang, Y. Decreasing the problematic use of an information system: An empirical investigation of smartphone game players. Information Systems Journal, 30, 3 (2020), 492–534.
   Web of Science ®Google Scholar
• Chen, L.; Baird, A.; and Straub, D. Fostering participant health knowledge and attitudes: An econometric study of a chronic disease-focused online health community. Journal of Management Information Systems, 36, 1 (2019), 194–229.
   Web of Science ®Google Scholar
• Cheng, Z.; Pang, M.-S.; and Pavlou, P.A. Mitigating traffic congestion: The role of intelligent transportation systems. Information Systems Research, 31, 3 (2020), 653–674.
   Web of Science ®Google Scholar
• Choi, H.; and Varian, H. Predicting the present with Google trends. Economic Record, 88, s1 (2012), 2–9.
   Web of Science ®Google Scholar
• Collins, P.Y.; Patel, V.; Joestl, S.S., March, D.; Insel, T.R.; Daar, A.S.; Bordin, I.A.; Costello, E.J.; Durkin, M.; Fairburn, C.; Glass, R.I.; Hall, W.; Huang, Y.; Hyman, S.E.; Jamison, K; Kaay, S.; Kapur, S., Kleinman, A.; Ogunniyi, A.; Otero-Ojeda, A.; Poo, M.-M.; et al. Grand challenges in global mental health. Nature, 475, 7354 (2011), 27–30.
   PubMed Web of Science ®Google Scholar
• Comstock, G.W.; and Helsing, K.J. Symptoms of depression in two communities. Psychological Medicine, 6, 4 (1977), 551–563.
   Web of Science ®Google Scholar
• Cooney, G.; Dwan, K.; and Mead, G. Exercise for depression. JAMA, 311, 23 (2014), 2432–2433.
   PubMed Web of Science ®Google Scholar
• Devaraj, S.; and Kohli, R. Information technology payoff in the health-care industry: A longitudinal study. Journal of Management Information Systems, 16, 4 (2000), 41–67.
   Web of Science ®Google Scholar
• Deykin, E.Y.; Levy, J.C.; and Wells, V. Adolescent depression, alcohol and drug abuse. American Journal of Public Health, 77, 2 (1987), 178–182.
   PubMed Web of Science ®Google Scholar
• Dieleman, J.L.; Baral, R.; Birger, M., Bui, A.L.; Bulchis, A.; Chapin, A.; Hamavid, H.; Horst, C.; Johnson, E.K.; Joseph, J.; Lavado, R.; Lomsadze, L.; Reynolds, A.; Squires, E.; Campbell, M.; DeCenso, B.; Dicker, D.; Flaxman, A.D.; Gabert, R.; Highfill, T.; Naghavi, M.; et al. US spending on personal health care and public health, 1996-2013. JAMA, 316, 24 (2016), 2627.
   PubMed Web of Science ®Google Scholar
• Einav, L.; and Levin, J. Economics in the age of big data. Science, 346, 6210 (2014), 1243089.
   PubMed Web of Science ®Google Scholar
• Ellison, N.B.; Steinfield, C.; and Lampe, C. The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12, 4 (2007), 1143–1168.
   Web of Science ®Google Scholar
• Faccio, M.; and McConnell, J.J. Death by Pokémon Go: The economic and human cost of using apps while driving. Journal of Risk and Insurance, 87, 3 (2020), 815–849.
   Web of Science ®Google Scholar
• Fayard, A.-L.; and DeSanctis, G. Enacting language games: The development of a sense of “we-ness” in online forums. Information Systems Journal, 20, 4 (2010), 383–416.
   Web of Science ®Google Scholar
• Fichman, R.G.; Kohli, R.; and Krishnan, R. The role of information systems in healthcare: Current research and future trends. Information Systems Research, 22, 3 (2011), 419–428.
   Web of Science ®Google Scholar
• Fletcher G.; Balady G.; Blair S.N., Blumenthal, J.; Caspersen, C.; Chaitman, S.; Epstein, E.S.S.; Froelicher, V.F.; Pina, I.L.; Pollock, M.L. Statement on exercise: Benefits and recommendations for physical activity programs for all Americans. Circulation, 94, 4 (1996), 857–862.
   PubMed Web of Science ®Google Scholar
• Franceschi, K.; Lee, R.M.; Zanakis, S.H.; and Hinds, D. Engaging group E-learning in virtual worlds. Journal of Management Information Systems, 26, 1 (2009), 73–100.
   Web of Science ®Google Scholar
• Frank, R.G., and McGuire, T.G. Chapter 16 Economics and mental health. In Anthony J. Culyer, and Joseph P. Newhouse. (eds.), Handbook of Health Economics. Elsevier, 2000, pp. 893–954.
   Google Scholar
• Ganju, K.K.; Pavlou, P.A.; and Banker, R. Does information and communication technology lead to the well-being of nations? A country-level empirical investigation. MIS Quarterly, 40, 2 (2016), 417–430.
   Web of Science ®Google Scholar
• Geva, T.; Oestreicher-Singer, G.; Efron, N.; and Shimshoni, Y. Using forum and search data for sales prediction of high-involvement projects. MIS Quarterly, 41, 1 (2017), 65–82.
   Web of Science ®Google Scholar
• Ghose, A.; Guo, X.; Li, B., and Dang, Y. Empowering patients using smart mobile health 1080 platforms: Evidence from a randomized field experiment. MIS Quarterly, 46 1(2022), 151–192.
   Web of Science ®Google Scholar
• Ginsberg, J.; Mohebbi, M.H.; Patel, R.S.; Brammer, L.; Smolinski, M.S.; and Brilliant, L. Detecting influenza epidemics using search engine query data. Nature, 457, 7232 (2009), 1012.
   PubMed Web of Science ®Google Scholar
• Goel, S.; Hofman, J.M.; Lahaie, S.; Pennock, D.M.; and Watts, D.J. Predicting consumer behavior with web search. Proceedings of the National Academy of Sciences, 107, 41 (2010), 17486–17490.
   PubMed Web of Science ®Google Scholar
• Goh, J.M.; Gao, G.; and Agarwal, R. The creation of social value: Can an online health community reduce rural-urban health disparities? MIS Quarterly, 40, 1 (2016), 247–263.
   Web of Science ®Google Scholar
• Greenwood, B.N.; and Wattal, S. Show me the way to go home: An empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Quarterly, 41, 1 (2017), 163–187.
   Web of Science ®Google Scholar
• Grohol, J.M. Pokemon Go Reportedly Helping People’s Mental Health, Depression. Psych Central, 2016. https://psychcentral.com/blog/pokemon-go-reportedly-helping-peoples-mental-health-depression . Accessed, November17, 2021.
   Google Scholar
• Guo, H.; Hao, L.; Mukhopadhyay, T.; and Sun, D. Selling virtual currency in digital games: Implications for gameplay and social welfare. Information Systems Research, 30, 2 (2019), 430.
   Web of Science ®Google Scholar
• Hamilton, M. A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 1 (1960), 56–62.
   PubMed Web of Science ®Google Scholar
• Howe, K.B.; Suharlim, C.; Ueda, P.; Howe, D.; Kawachi, I.; and Rimm, E.B. Gotta Catch’em All! Pokémon Go and physical activity among young adults: Difference in differences study. BMJ, 355, (2016), i6270.
   PubMed Web of Science ®Google Scholar
• Huang, Y.; Jasin, S.; and Manchanda, P. “Level up”: Leveraging skill and engagement to maximize player game-play in online video games. Information Systems Research, 30, 3 (2019), 927–947.
   Web of Science ®Google Scholar
• Ingraham, C. The Google Misery Index: The times of year we’re most depressed, anxious and stressed. Washington Post, 3, (2014).
   Google Scholar
• James, G.; Witten, D.; Hastie, T.; and Tibshirani, R. An Introduction to Statistical Learning. Springer, 2013.
   Google Scholar
• James, T.L.; Lowry, P.B.; Wallace, L.; and Warkentin, M. The effect of belongingness on obsessive-compulsive disorder in the use of online social networks. Journal of Management Information Systems, 34, 2 (2017), 560–596.
   Web of Science ®Google Scholar
• Kyung, N.; Lim, S.; and Lee, B. A Depressing internet tale: Empirical analysis of the internet’s impact on suicide. ICIS 2017 Proceedings, (2017).
   Google Scholar
• Lakey, B.; and Orehek, E. Relational regulation theory: A new approach to explain the link between perceived social support and mental health. Psychological Review, 118, 3 (2011), 482.
   PubMed Web of Science ®Google Scholar
• Lasalvia, A.; Zoppei, S., Van Bortel, T.; Bonetto, C.; Cristofalo, D.; Wahlbeck, K.; Bacle, S.V.; van Audenhove, C.; van Weeghe, J.; Reneses, B.; Germanavicius, A.; Economou, M.; Lanfredi, M.; Ando, S.; Sartorius, N.; Lopez-Ibor, J.J.; Thornicroft, G. Global pattern of experienced and anticipated discrimination reported by people with major depressive disorder: A cross-sectional survey. The Lancet, 381, 9860 (2013), 55–62. New York, U.S.A.
   PubMed Web of Science ®Google Scholar
• Lazer, D.; Kennedy, R.; King, G.; and Vespignani, A. The parable of Google flu: Traps in big data analysis. Science, 343, 6176 (2014), 1203–1205.
   PubMed Web of Science ®Google Scholar
• Lehmann, L.A. Location-based Mobile Games. Munich, Germany: GRIN Verlag, 2012.
   Google Scholar
• Li, M.; Jiang, Q.; Tan, C.-H.; and Wei, K.-K. Enhancing user-game engagement through software gaming elements. Journal of Management Information Systems, 30, 4 (2014), 115–149.
   Web of Science ®Google Scholar
• Lisanby, S.H. Electroconvulsive therapy for depression. New England Journal of Medicine, 357, 19 (2007), 1939–1945.
   PubMed Web of Science ®Google Scholar
• Liu, D.; Santhanam, R.; and Webster, J. Toward meaningful engagement: A framework for design and research of gamified information systems. MIS Quarterly, 41, 4 (2017), 1011-+.
   Web of Science ®Google Scholar
• Liu, J.; and Bharadwaj, A. Drug abuse and the internet: Evidence from Craigslist. Management Science, 66, 5 (2020), 2040–2049.
   Web of Science ®Google Scholar
• Lucas Jr, H.C.; Agarwal, R.; Clemons, E.K.; and Sawy, O.A.E. Impactful research on transformational information technology: An opportunity to inform new audiences. MIS Quarterly, 37, 2 (2013), 371.
   Web of Science ®Google Scholar
• MacDonald, F. Pokémon Go is reportedly helping people with their depression. ScienceAlert, 2016. http://www.sciencealert.com/pokemon-go-is-reportedly-helping-people-with-their-depression. Accessed, November 17, 2021.
   Google Scholar
• Mammen, G.; and Faulkner, G. Physical activity and the prevention of depression: A systematic review of prospective studies. American Journal of Preventive Medicine, 45, 5 (2013), 649–657.
   PubMed Web of Science ®Google Scholar
• Mann, J.J. The medical management of depression. New England Journal of Medicine, 353, 17 (2005), 1819–1834.
   PubMed Web of Science ®Google Scholar
• Marthews, A.; and Tucker, C.E. Government Surveillance and Internet Search Behavior. (2017). Available at SSRN: https://ssrn.com/abstract=2412564
   Google Scholar
• McCartney, M. Game on for Pokémon Go. BMJ, 354, (2016), i4306.
   PubMed Web of Science ®Google Scholar
• Moffitt, R. Causal analysis in population research: An economist’s perspective. Population and Development Review, 29, 3 (2003), 448–458.
   Web of Science ®Google Scholar
• Mohan, D.; Schell, J.; and Angus, D.C. Not thinking clearly? Play a game, seriously! JAMA, 316, 18 (2016), 1867–1868.
   PubMed Web of Science ®Google Scholar
• Montgomery, S.A.; and Åsberg, M. A new depression scale designed to be sensitive to change. The British Journal of Psychiatry, 134, 4 (1979), 382–389.
   PubMed Web of Science ®Google Scholar
• National Institute of Mental Health. Major Depression. 2017. https://www.nimh.nih.gov/health/statistics/major-depression. Accessed, November 17, 2021.
   Google Scholar
• National Institute of Mental Health. Mental Illness. 2019. https://www.nimh.nih.gov/health/statistics/mental-illness.
   Google Scholar
• Nigg, C.R.; Mateo, D.J.; and An, J. Pokémon GO may increase physical activity and decrease sedentary behaviors. American Journal of Public Health, 107, 1 (2016), 37–38.
   PubMed Web of Science ®Google Scholar
• Nuti, S.V.; Wayda, B.; Ranasinghe, I.; Wang, S.; Dreyer, R.P.; Chen, S.I.; Murugiah, K. The use of Google trends in health care research: A systematic review. PLOS ONE, 9, 10 (2014), e109583.
   PubMed Web of Science ®Google Scholar
• Olfson, M.; Marcus, S.C.; Druss, B.; Elinson, L.; Tanielian, T.; and Pincus, H.A. National trends in the outpatient treatment of depression. JAMA, 287, 2 (2002), 203–209.
   PubMed Web of Science ®Google Scholar
• Paluska, S.A.; and Schwenk, T.L. Physical activity and mental health. Sports Medicine, 29, 3 (2000), 167–180.
   PubMed Web of Science ®Google Scholar
• Pamuru, V.; Khern-am-nuai, W.; and Kannan, K. The impact of an augmented-reality game on local businesses: A study of Pokémon Go on restaurants. Information Systems Research, 32, 3 (2021), 950–966.
   Web of Science ®Google Scholar
• Park, J.; Pang, M.-S.; Kim, J.; and Lee, B. The deterrent effect of ride-sharing on sexual assault and investigation of situational contingencies. Information Systems Research, 32, 2 (2021), 497–516.
   Web of Science ®Google Scholar
• Patel, M.S.; Asch, D.A.; and Volpp, K.G. Wearable devices as facilitators, not drivers, of health behavior change. JAMA, 313, 5 (2015), 459–460.
   PubMed Web of Science ®Google Scholar
• Penedo, F.J.; and Dahn, J.R. Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Current Opinion in Psychiatry, 18, 2 (2005), 189–193.
   PubMed Web of Science ®Google Scholar
• Pinsonneault, A.; Addas, S.; Qian, C.; Dakshinamoorthy, V.; and Tamblyn, R. Integrated health information technology and the quality of patient care: A natural experiment. Journal of Management Information Systems, 34, 2 (2017), 457–486.
   Web of Science ®Google Scholar
• Piwek, L.; Ellis, D.A.; Andrews, S.; and Joinson, A. The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13, 2 (February 2016), e1001953.
   PubMed Web of Science ®Google Scholar
• Powell, A.C.; Landman, A.B.; and Bates, D.W. In search of a few good apps. JAMA, 311, 18 (2014), 1851–1852.
   PubMed Web of Science ®Google Scholar
• Ragu-Nathan, T.S.; Tarafdar, M.; Ragu-Nathan, B.S.; and Tu, Q. The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19, 4 (2008), 417–433.
   Web of Science ®Google Scholar
• Richards, D.; and Richardson, T. Computer-based psychological treatments for depression: A systematic review and meta-analysis. Clinical Psychology Review, 32, 4 (June 2012), 329–342.
   PubMed Web of Science ®Google Scholar
• Salo, M.; Pirkkalainen, H.; Chua, C.E.H.; and Koskelainen, T. Formation and mitigation of technostress in the personal use of IT. MIS Quarterly, 46, (2022).
   Google Scholar
• Santhanam, R.; Liu, D.; and Shen, W.-C.M. Gamification of technology-mediated training: Not all competitions are the same. Information Systems Research, 27, 2 (2016), 453–465.
   Web of Science ®Google Scholar
• Shanahan, D.F.; Bush, R.; Gaston, K.J.; Lin, B.B.; Dean, J.; Barber, E.; Fuller, R.; et al. Health benefits from nature experiences depend on dose. Scientific Reports, 6, 1 (2016), 1–10.
   PubMed Web of Science ®Google Scholar
• Shen, N.; Levitan, M.-J.; Johnson, A.; Bender, J.L.; Hamilton-Page, M.; Jadad, A.R.; Wiljer, D. Finding a depression app: A review and content analysis of the depression app marketplace. JMIR mHealth and uHealth, 3, 1 (2015), e16.
   PubMed Web of Science ®Google Scholar
• Silic, M.; and Lowry, P.B. Using design-science based gamification to improve organizational security training and compliance. Journal of Management Information Systems, 37, 1 (2020), 129–161.
   Web of Science ®Google Scholar
• Stathopoulou, G.; Powers, M.B.; Berry, A.C.; Smits, J.A.J.; and Otto, M.W. Exercise interventions for mental health: A quantitative and qualitative review. Clinical Psychology: Science and Practice, 13, 2 (2006), 179–193.
   Web of Science ®Google Scholar
• Steers, M.-L.N.; Wickham, R.E.; and Acitelli, L.K. Seeing everyone else’s highlight reels: How Facebook usage is linked to depressive symptoms. Journal of Social and Clinical Psychology, 33, 8 (2014), 701–731.
   Web of Science ®Google Scholar
• Stephens-Davidowitz, S.; and Varian, H. A Hands-on guide to Google data. Mountain View, CA, 2014.
   Google Scholar
• Stetina, B.U.; Kothgassner, O.D.; Lehenbauer, M.; and Kryspin-Exner, I. Beyond the fascination of online-games: Probing addictive behavior and depression in the world of online-gaming. Computers in Human Behavior, 27, 1 (2011), 473–479.
   Web of Science ®Google Scholar
• Stocking, G., and Matsa, K.E. Using Google Trends Data for Research? Here Are 6 Questions to Ask. Pew Research Center, 2017. https://medium.com/@pewresearch/using-google-trendsdata-for-research-here-are-6-questions-to-ask-a7097f5fb526. Accessed, March 01, 2022.
   Google Scholar
• Suh, A.; Cheung, C.M.K.; Ahuja, M.; and Wagner, C. Gamification in the workplace: The central role of the aesthetic experience. Journal of Management Information Systems, 34, 1 (2017), 268–305.
   Web of Science ®Google Scholar
• Sun, H. A Longitudinal study of herd behavior in the adoption and continued use of technology. MIS Quarterly, (2013), 1013–1041.
   Web of Science ®Google Scholar
• Sung, H.; Sigerson, L.; and Cheng, C. Social capital accumulation in location-based mobile game playing: A multiple-process approach. Cyberpsychology, Behavior, and Social Networking, 20, 8 (2017), 486–493.
   PubMed Web of Science ®Google Scholar
• Tarafdar, M.; Tu, Q.; Ragu-Nathan, B.S.; and Ragu-Nathan, T.S. The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24, 1 (2007), 301–328.
   Web of Science ®Google Scholar
• Tarafdar, M.; Tu, Q.; Ragu-Nathan, T.S.; and Ragu-Nathan, B.S. Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54, 9 (2011), 113–120.
   Web of Science ®Google Scholar
• Tateno, M.; Skokauskas, N.; Kato, T.A.; Teo, A.R.; and Guerrero, A.P. New game software (Pokémon Go) may help youth with severe social withdrawal, Hikikomori. Psychiatry Research, 246, (2016), 848.
   PubMed Web of Science ®Google Scholar
• Tefft, N. Insights on unemployment, unemployment insurance, and mental health. Journal of Health Economics, 30, 2 (2011), 258–264.
   PubMed Web of Science ®Google Scholar
• Wang, L.; Gunasti, K.; Shankar, R.; Pancras, J.; and Gopal, R. Impact of gamification on perceptions of word-of-mouth contributors and actions of word-of-mouth consumers. MIS Quarterly, 44, 4 (2020), 1987–2011.
   Web of Science ®Google Scholar
• World Health Organization. Depression. 2020. https://www.who.int/news-room/fact-sheets/detail/depression . Accessed, November 17, 2021.
   Google Scholar
• Xu, Z.; Turel, O.; and Yuan, Y. Online game addiction among adolescents—Motivation and prevention factors. European Journal of Information Systems, 21, 3 (2012), 321–340.
   Web of Science ®Google Scholar