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From behavioral dependence to economic cost: Reframing digital addiction in economic terms
Constantinos Challoumis
Department of Accounting and Finance, Faculty of Business, Philips University Nicosia P.O.Box 28008, 2090 Strovolos, Cyprus; Department of Business Administration, School of Economics and Political Sciences, National and Kapodistrian University of Athens, Sofokleous str. 10559 Athens, Greece; Department of Marketing and Communication, Athens University of Economics and Business, 76 Patission Str. GR-10434 Athens, Greece
Nikolaos Eriotis
Department of Business Administration, School of Economics and Political Sciences, National and Kapodistrian University of Athens, Sofokleous str. 10559 Athens, Greece
Dimitrios Vasiliou
Department of Business Administration, School of Economics and Political Sciences, National and Kapodistrian University of Athens, Sofokleous str. 10559 Athens, Greece
DOI: https://doi.org/10.59429/esp.v11i3.4549
Keywords: digital addiction; behavioral dependence; welfare economics; economic externalities; time allocation; productivity loss; opportunity cost; digital platforms; public policy
Abstract
Digital addiction is typically examined as a psychological or behavioral condition, while its broader economic consequences remain insufficiently addressed. This paper reframes digital addiction as an economic pathology, emphasizing its welfare and productivity implications across individuals, organizations, and public systems. Drawing on behavioral economics, time-allocation theory, and the economics of externalities, the study develops a theory-driven analytical framework to map the diffusion of economic costs associated with excessive digital use. Methodologically, a structured literature synthesis is combined with relative intensity scoring and heatmap visualization to compare cost channels and affected stakeholders. The findings indicate that the primary economic burden arises from time misallocation, productivity losses, and social spillovers rather than direct expenditures alone, with costs distributed asymmetrically across the economy. The framework provides a diagnostic basis for future empirical research and policy intervention in the digital economy.
References
[1]. 1. Karakose T, Yildirim B, Tülübaş T, Kardaş A. A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression. Front Psychol 2023;14. https://doi.org/10.3389/fpsyg.2023.1126815.
[2]. 2. Berthon P, Pitt L, Campbell C. Addictive De-Vices: A Public Policy Analysis of Sources and Solutions to Digital Addiction. J Public Policy Mark 2019;38:451–68. https://doi.org/10.1177/0743915619859852.
[3]. 3. Dresp B, Hutt A. Digital Addiction and Sleep. Int J Environ Res Public Health 2022;19. https://doi.org/10.3390/ijerph19116910.
[4]. 4. Kuss D, Gainsbury SM. Debate: Behavioural addictions and technology use - risk and policy recommendations for problematic online gambling and gaming. Child Adolesc Ment Health 2021. https://doi.org/10.1111/camh.12449.
[5]. 5. Allcott H. Digital Addiction. AEA Randomized Control Trials 2020. https://doi.org/10.1257/rct.5796-1.2000000000000002.
[6]. 6. Weinsztok S, Brassard S, Balodis I, Martin L, Amlung M. Delay Discounting in Established and Proposed Behavioral Addictions: A Systematic Review and Meta-Analysis. Front Behav Neurosci 2021;15. https://doi.org/10.3389/fnbeh.2021.786358.
[7]. 7. Bhattacharya D. Nonparametric Approaches to Empirical Welfare Analysis. J Econ Lit 2024. https://doi.org/10.1257/jel.20221534.
[8]. 8. Chung S, Lee H. Public Health Approach to Problems Related to Excessive and Addictive Use of the Internet and Digital Media. Curr Addict Reports 2022;10:69–76. https://doi.org/10.1007/s40429-022-00458-z.
[9]. 9. Graziano M, Platino V. A measure of social loss for production economies with externalities. Econ Theory 2024;78:443–74. https://doi.org/10.1007/s00199-024-01574-9.
[10]. 10. Valasek C. Disciplining the Akratic user: Constructing digital (un) wellness. Mob Media Commun 2021;10:235–50. https://doi.org/10.1177/20501579211038796.
[11]. 11. Brynjolfsson E, Collis A, Eggers F. Using massive online choice experiments to measure changes in well-being. Proc Natl Acad Sci U S A 2018;116:7250–5. https://doi.org/10.1073/pnas.1815663116.
[12]. 12. Van Endert TS. Addictive use of digital devices in young children: Associations with delay discounting, self-control and academic performance. PLoS One 2021;16. https://doi.org/10.1371/journal.pone.0253058.
[13]. 13. Hause J. The Theory of Welfare Cost Measurement. J Polit Econ 1975;83:1145–82. https://doi.org/10.1086/260387.
[14]. 14. Acuff S, Mackillop J, Murphy J. Applying Behavioral Economic Theory to Problematic Internet Use: An Initial Investigation. Psychol Addict Behav 2018;32:846. https://doi.org/10.1037/adb0000404.
[15]. 15. Di Pietro C, Graziano M, Platino V. Social loss with respect to the core of an economy with externalities. Econ Theory 2020;73:487–508. https://doi.org/10.1007/s00199-020-01293-x.
[16]. 16. Zhao M, Wang S, Xia T. The social welfare effect of e-commerce product reputation information asymmetry from the perspective of network externality. PLoS One 2025;20. https://doi.org/10.1371/journal.pone.0313852.
[17]. 17. Kitchener S, Zoe T. Digital Addiction in Teenagers: Tackling it With an App Based on Behavioral Economics. J Student Res 2021;10. https://doi.org/10.47611/jsrhs.v10i1.1329.
[18]. 18. Frischmann B, Ramello G. Externalities, scarcity, and abundance. Front Res Metrics Anal 2023;7. https://doi.org/10.3389/frma.2022.1111446.
[19]. 19. Acuff S, Pilatti A, Collins M, Hides L, Thingujam N, Chai W, et al. Reinforcer pathology of internet-related behaviors among college students: Data from six countries. Exp Clin Psychopharmacol 2021. https://doi.org/10.1037/pha0000459.
[20]. 20. Willig R. Consumer’s Surplus Without Apology. Am Econ Rev 1976;66:589–97.
[21]. 21. Shiferaw BD, Tang J, Wang Y, Wang Y, Wang Y, Mackay L, et al. Impact of digital addiction on youth health: A systematic review and meta-analysis. J Behav Addict 2025;14:1129–58. https://doi.org/10.1556/2006.2025.00081.
[22]. 22. Şan İ, Karsak HO, İzci E, Öncül K. Internet addiction of university students in the Covid-19 process. Heliyon 2024;10. https://doi.org/10.1016/j.heliyon.2024.e29135.
[23]. 23. Li K. Market Power and Consumer Welfare: A Theoretical Analysis of Imperfect Competition. Adv Econ Manag Polit Sci 2025. https://doi.org/10.54254/2754-1169/2025.bj25114.
[24]. 24. Alimoradi Z, Broström A, Potenza M, Lin C, Pakpour A. Associations Between Behavioral Addictions and Mental Health Concerns During the COVID-19 Pandemic: A Systematic Review and Meta-analysis. Curr Addict Reports 2024;11:565–87. https://doi.org/10.1007/s40429-024-00555-1.
[25]. 25. Fleurbaey M, Kanbur R, Viney B. Social Externalities and Economic Analysis. Soc Res An Int Q 2020;88:171–202. https://doi.org/10.22004/ag.econ.309990.
[26]. 26. Rung J, Madden G. Experimental Reductions of Delay Discounting and Impulsive Choice: A Systematic Review and Meta-Analysis. J Exp Psychol Gen 2018;147:1349. https://doi.org/10.1037/xge0000462.
[27]. 27. Corchón L, Torregrosa R. Two extensions of consumer surplus. SERIEs 2020;13:557–79. https://doi.org/10.1007/s13209-021-00245-5.
[28]. 28. Amlung M, Vedelago L, Acker J, Balodis I, Mackillop J. Steep delay discounting and addictive behavior: a meta‐analysis of continuous associations. Addiction 2017;112:51. https://doi.org/10.1111/add.13535.
[29]. 29. Cornes R. Externalities and Public Goods. Prices Quant 2020. https://doi.org/10.1017/cbo9780511571725.011.
[30]. 30. Challoumis C. The R.B.Q. (Rational, Behavioral and Quantified) Model. Ekonomika 2019;98:6–18. https://doi.org/10.15388/ekon.2019.1.1.
[31]. 31. Challoumis C, Eriotis N. A historical analysis of the banking system and its impact on Greek economy. Edelweiss Appl Sci Technol 2024;8:1598–617.
[32]. 32. Marsch L. Digital Health and Addiction. Curr Opin Syst Biol 2020;20:1–7. https://doi.org/10.1016/j.coisb.2020.07.004.
[33]. 33. Brynjolfsson E, Kim ST, Oh JH. The Attention Economy: Measuring the Value of Free Goods on the Internet. Inf Syst Res 2023;35:978–91. https://doi.org/10.1287/isre.2021.0153.
[34]. 34. Rambaud SC, Torrecillas MM, Maturo F. Editorial: Time discounting as a tool to assess addictive behaviors and other disorders. Front Public Heal 2023;11. https://doi.org/10.3389/fpubh.2023.1165175.
[35]. 35. Winfree J, Watson P. The Welfare Economics of “Buy Local.” Am J Agric Econ 2017;99:971. https://doi.org/10.1093/ajae/aaw104.
[36]. 36. Gritenco E, Şeptiţchi V, Borsev I. Info-digital addiction: an interdisciplinary analysis of the phenomenon, its criteria, and consequences. Stud Univ Mold Ser Științe Ale Nat 2025. https://doi.org/10.59295/sum1(181)2025_14.
[37]. 37. Dasgupta P, Southerton D, Ulph A, Ulph D. Consumer Behaviour with Environmental and Social Externalities: Implications for Analysis and Policy. Environ Resour Econ 2016;65:191–226. https://doi.org/10.1007/s10640-015-9911-3.
[38]. 38. Alimoradi Z, Lotfi A, Lin C-Y, Griffiths M, Pakpour A. Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis. Curr Addict Reports 2022;9:486–517. https://doi.org/10.1007/s40429-022-00435-6.
[39]. 39. Cooper K, Fabian M, Krekel C. New approaches to measuring welfare. Fisc Stud 2023. https://doi.org/10.1111/1475-5890.12333.
[40]. 40. Miller B, Reed D, Amlung M. Reliability and validity of behavioral-economic measures: A review and synthesis of discounting and demand. J Exp Anal Behav 2023. https://doi.org/10.1002/jeab.860.
[41]. 41. Hausman J, Newey W. Nonparametric Welfare Analysis. Annu Rev Econom 2017;9:521–46. https://doi.org/10.1146/annurev-economics-080315-015107.
[42]. 42. Brown J, Sofis M, Zimmer S, Kaplan B. Delay discounting is associated with addiction and mental health measures while controlling for health behaviors and health barriers in a large US sample. Addict Behav Reports 2024;19. https://doi.org/10.1016/j.abrep.2024.100545.
[43]. 43. Hendren N. Welfare Analysis Meets Causal Inference. NBER Work Pap Ser 2020. https://doi.org/10.3386/w27640.
[44]. 44. Shah SS, Shah SAH. Trust as a determinant of social welfare in the digital economy. Soc Netw Anal Min 2024;14:1–27. https://doi.org/10.1007/s13278-024-01238-5.
[45]. 45. Theopilus Y, Mahmud A Al, Davis H, Octavia J. Persuasive strategies in digital interventions to combat internet addiction: A systematic review. Int J Med Inform 2024;195:105725. https://doi.org/10.1016/j.ijmedinf.2024.105725.
[46]. 46. Cemiloglu D, Almourad M, Mcalaney J, Ali R. Combatting digital addiction: Current approaches and future directions. Technol Soc 2022. https://doi.org/10.1016/j.techsoc.2021.101832.
[47]. 47. Johansson M, Romero D, Jakobson M, Heinemans N, Lindner P. Digital interventions targeting excessive substance use and substance use disorders: a comprehensive and systematic scoping review and bibliometric analysis. Front Psychiatry 2024;15. https://doi.org/10.3389/fpsyt.2024.1233888.
[48]. 48. Revathi R, Paulraj T. An Empirical Study on the Consumers Behaviour and Economic Loss. Shanlax Int J Arts, Sci Humanit 2025. https://doi.org/10.34293/sijash.v12i4.8202.
[49]. 49. Tucker J, Buscemi J, Murphy J, Reed D, Vuchinich R. Addictive behavior as molar behavioral allocation: Distinguishing efficient and final causes in translational research and practice. Psychol Addict Behav 2022. https://doi.org/10.1037/adb0000845.
[50]. 50. Gao Z, House L, Bi X. Impact of satisficing behavior in online surveys on consumer preference and welfare estimates. Food Policy 2016;64:26–36. https://doi.org/10.1016/j.foodpol.2016.09.001.
[51]. 51. Taylor K. The social diagnoses of digital addictions: Technophobic ambivalences, the limits of the natural and imperatives of self-governance in the information age. Sociol Health Illn 2023. https://doi.org/10.1111/1467-9566.13624.
[52]. 52. Bernheim B, Taubinsky D. Behavioral Public Economics. Decis Financ Decis 2018. https://doi.org/10.1016/bs.hesbe.2018.07.002.
[53]. 53. Goslar M, Leibetseder M, Muench H, Hofmann S, Laireiter A. Treatments for internet addiction, sex addiction and compulsive buying: A meta-analysis. J Behav Addict 2020;9:14–43. https://doi.org/10.1556/2006.2020.00005.
[54]. 54. Challoumis C. From Economics to Economic Engineering (The Cycle of Money): The case of Romania. Cogito 2024;XVII:161–70.
[55]. 55. Challoumis C. FROM SAVINGS TO ESCAPE AND ENFORCEMENT SAVINGS. Cogito 2023;XV:206–16.
[56]. 56. Amendola N, Vecchi G. Durable goods and welfare measurement. J Econ Surv 2021. https://doi.org/10.1111/joes.12480.
[57]. 57. Perali F, Piccoli L. An Extended Theory of Rational Addiction. Mathematics 2022. https://doi.org/10.3390/math10152652.
[58]. 58. Lima V, Gaspar F. Beyond Marx: Externalities in the Age of Tech Oligarchy and Digital Class Struggle. Brazilian J Bus 2025. https://doi.org/10.34140/bjbv7n2-042.
[59]. 59. Boumparis N, Haug S, Abend S, Billieux J, Riper H, Schaub M. Internet-based interventions for behavioral addictions: A systematic review. J Behav Addict 2022;11:620–42. https://doi.org/10.1556/2006.2022.00054.
[60]. 60. Ng Y. Welfare Economics: Towards a More Complete Analysis 2003. https://doi.org/10.1057/9781403944061.
[61]. 61. Vuchinich R, Tucker J, Acuff S, Reed D, Buscemi J, Murphy J. Matching, behavioral economics, and teleological behaviorism: Final cause analysis of substance use and health behavior. J Exp Anal Behav 2022. https://doi.org/10.1002/jeab.815.
[62]. 62. Reinsdorf M. Measuring Economic Welfare. Policy Pap 2020. https://doi.org/10.5089/9781513544588.007.
[63]. 63. Xu J. Digital health tools and habit formation: Investigating the role of anti-addiction systems in mitigating social media dependency. Int J Innov Res Sci Stud 2025. https://doi.org/10.53894/ijirss.v8i2.6007.
[64]. 64. Jackson M, Rogers B, Zenou Y. Networks: An Economic Perspective. IO Theory EJournal 2016.
[65]. 65. Chen Y. The Impact of Behavioral Economics on Consumer Decision-Making in the Digital Era. Adv Manag Intell Technol 2025. https://doi.org/10.62177/amit.v1i3.391.
[66]. 66. Bickel W, Koffarnus M, Moody L, Wilson G. The behavioral- and neuro-economic process of temporal discounting: A candidate behavioral marker of addiction. Neuropharmacology 2014;76:518–27. https://doi.org/10.1016/j.neuropharm.2013.06.013.
[67]. 67. Shirley SM. Profit and Public Value: A Welfare Comparison of Enterprise Models. J Res Humanit Soc Sci 2025. https://doi.org/10.35629/9467-1309177183.
[68]. 68. Lin Z. Understanding Consumer Behavior: Integrating Economic Constraints and Behavioral Insights. Adv Econ Manag Polit Sci 2025. https://doi.org/10.54254/2754-1169/2025.bl23698.
[69]. 69. Nosenzo D, Görges L. Measuring Social Norms in Economics: Why It Is Important and How It Is Done. Anal Krit 2020;42:285–312. https://doi.org/10.1515/auk-2020-0012.
[70]. 70. Bickel W, Miller M, Yi R, Kowal B, Lindquist D, Pitcock J. Behavioral and neuroeconomics of drug addiction: competing neural systems and temporal discounting processes. Drug Alcohol Depend 2007;90 Suppl 1. https://doi.org/10.1016/j.drugalcdep.2006.09.016.
[71]. 71. Brynjolfsson E, Collis A, Diewert E, Eggers F, Fox K. Gdp-B: Accounting for the Value of New and Free Goods in the Digital Economy. Macroecon Natl Income Prod Accounts EJournal 2019. https://doi.org/10.2139/ssrn.3356697.
[72]. 72. Zhang Y, Zhang T. The Economics of Information Pollution in the Age of AI: A General Equilibrium Approach to Welfare, Measurement, and Policy. ArXiv 2025;abs/2509.1. https://doi.org/10.48550/arxiv.2509.13729.
[73]. 73. Acuff S, Mackillop J, Murphy J. A contextualized reinforcer pathology approach to addiction. Nat Rev Psychol 2023;2:309–23. https://doi.org/10.1038/s44159-023-00167-y.
[74]. 74. Wu D, Lee J-Y, Wang LF s. Positive Network Externalities and Negative Environmental Externalities in a Differentiated Duopoly With Entry Fee‐Refund Policy. Am J Econ Sociol 2025. https://doi.org/10.1111/ajes.12631.
[75]. 75. Martens B. Data Access, Consumer Interests and Social Welfare: An Economic Perspective. IO Product 2020. https://doi.org/10.2139/ssrn.3605383.
[76]. 76. Lopez-Guzman S, Konova A, Louie K, Glimcher P. Risk preferences impose a hidden distortion on measures of choice impulsivity. PLoS One 2018;13. https://doi.org/10.1371/journal.pone.0191357.
[77]. 77. Brynjolfsson E, Hu YJ, Smith M. Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers. MIT Sloan Sch Manag Work Pap Ser 2003. https://doi.org/10.2139/ssrn.400940.
[78]. 78. Challoumis C. Index of the cycle of money: The case of Costa Rica. Sapienza 2023;4:1–11.
[79]. 79. Challoumis C, Eriotis N. The Impact of Artificial Intelligence on the Greek Economy. J Open Innov Technol Mark Complex 2025;11:1–13. https://doi.org/https://doi.org/10.1016/j.joitmc.2025.100578.
[80]. 80. Tasnádi A, Smith TG. A Theory of Natural Addiction 2007.
[81]. 81. Faust K, Faust D. Refining Measures for Assessing Problematic/Addictive Digital Gaming Use in Clinical and Research Settings 2015.
[82]. 82. Karakose T, Tülübaş T, Papadakis S. Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach 2022.
[83]. 83. Ellis DA, Kaye LK, Wilcockson TDW, Ryding FC. Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) 2018.
[84]. 84. Helmersson Bergmark K, Bergmark A, Findahl O. Extensive Internet Involvement—Addiction or Emerging Lifestyle? 2011.
[85]. 85. Challoumis C. Integrating Money Cycle Dynamics and Economocracy for Optimal Resource Allocation and Economic Stability. J Risk Financ Manag 2024;17:1–25. https://doi.org/10.3390/jrfm17090422.
[86]. 86. Challoumis C. Rewarding taxes on the cycle of money. vol. 5. 2024.
[87]. 87. Challoumis C. THE INFLATION ACCORDING TO THE CYCLE OF MONEY (C.M.). Econ Altern 2025;2025:324–53. https://doi.org/https://doi.org/10.37075/EA.2025.2.03.
[88]. 88. Challoumis C. The impact factor of Tangibles and Intangibles of controlled transactions on economic performance. Econ Altern 2025;31:64–76.
[89]. 89. Just R, Hueth D, Schmitz A. The Welfare Economics of Public Policy: A Practical Approach to Project and Policy Evaluation 2005.






