MEASURING ONLINE SHOPPING ADDICTION IN THE DIGITAL PLATFORM ERA: SCALE ADAPTATION AND VALIDATION IN INDONESIA
English
DOI:
https://doi.org/10.18623/rvd.v23.6289Keywords:
Online Shopping Addiction, Behavioral Addiction Features, Algorithmic Persuasion, Consumer BehaviorAbstract
This study develops and validates a technology-oriented Online Shopping Addiction (OSA) scale for Indonesia’s e-commerce environment. Drawing on a quantitative scale-development design, data from 161 high-OSA online shoppers were examined using psychometric analysis and PLS-SEM. The results establish OSA as a reliable and valid multidimensional behavioral addiction construct reflected in seven dimensions: salience, mood modification, tolerance, withdrawal, conflict, relapse, and problems. Among these, problems, salience, and relapse provide the strongest representation, indicating that loss of control, cognitive dominance of shopping, and negative functional outcomes constitute the core of OSA. Cluster analysis suggests that OSA is best understood as a continuum of severity, while demographic influence remain limited. The finding further demonstrate that platform-based persuasive features, such as algorithmic recommendations, flash promotions, and seamless payment mechanisms, amplify individual vulnerability and intensify addictive buying tendencies, thereby underscoring the structural role of digital commerce architecture in shaping addiction risk.
References
Aboujaoude, E. (2014). Compulsive buying disorder: a review and update. Current pharmaceutical design.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.47985/dcidj.475
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
Ahtola, O. T. (1975). The Vector Model of Preferences : An Alternative to the Fishbein Model. Journal of Marketing Research, XII(February), 52–59.
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), 1–11. https://doi.org/10.3389/fpsyg.2015.01374
Ardyan, E., & Sanapang, G. M. (2023). Online Compulsive Buying and Brand Addiction in Indonesia: The Importance of Using Fear of Missing Out and Social Commerce Interactivity. The Winners, 24(2), 117–126. https://doi.org/10.21512/tw.v24i2.10817
Armstrong, K. P., J., G. S., & V., W. (2001). “Principles of Marketing, 2nd edition.” Corporate Communications: An International Journal, 6(3), 164–165.
Badan Pusat Statistika. (2023). eCommerce 2022/2023 01. Badan Statistik Nasional (BPS), 27.
Billieux, J. (2012). Problematic Use of the Mobile Phone : A Literature Review and a Pathways Model. Current Psychiatry Reviews, 8. https://doi.org/10.2174/157340012803520522
Black, D. W. (2007). Compulsive buying disorder: A review of the evidence. CNS Spectrums, 12(2), 124–132. https://doi.org/10.1017/S1092852900020630
Black, D. W., Shawa, M., McCormicka, B., Baylessb, J. D., & Allen, J. A. (2013). Neuropsychological performance, impulsivity, symptoms of ADHD, and Cloninger’s personality traits in pathological gambling. Elsevier Ireland Ltd, 23(1), 1–18. https://doi.org/10.1016/j.psychres.2012.06.003.Neuropsychological
DeSarbo, W. S., & Edwards, E. A. (1996). Typologies of Compulsive Buying Behavior: A Constrained Clusterwise Regression Approach. Journal of Consumer Psychology, 5(3), 231–262. https://doi.org/10.1207/s15327663jcp0503_02
Dittmar, H. (2005). Dittmar Two Factor Model of Compulsive Buying: A New Look At " Compulsve Buying ": Self Discrepancies and Materialistic Values as Predictors of Compulsive Buying Tendency. Journal of Social and Clinical Psychology, 24(6), 832–859.
Duong, X. L., & Liaw, S. Y. (2022). Psychometric evaluation of Online Shopping Addiction Scale (OSAS). Journal of Human Behavior in the Social Environment, 32(5), 618–628. https://doi.org/10.1080/10911359.2021.1938330
Faber, R. J., & O’Guinn, T. C. (1992). A Clinical Screener for Compulsive Buying. Journal of Consumer Research, 19(3), 459. https://doi.org/10.1086/209315
Fishbein, M. (1963). An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that Object. Human Relations, 16(3), 233–239. https://doi.org/10.1177/001872676301600302
Fishbein, M. (1965). A consideration of beliefs, attitudes, and their relationships. Current studies in social psychology.
Fishbein, M. (1967). Attitude and the prediction of behavior. In M. Fishbein (Ed.), Readings in attitude theory and measurement. Wiley.
Fornell, C., & Larcker, D. F. F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research This, 18(1), 39–50.
Gogoi, B. J., & Shillong, I. (2020). Do Impulsive Buying Influence Compulsive Buying? Academy of Marketing Studies Journal, 24(4), 1–15.
Griffiths, M. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
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
Hair, J., Hult, G. T., Ringle, C., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. In Structural Equation Modeling: A Multidisciplinary Journal (Vol. 30, Issue 1). https://doi.org/10.1080/10705511.2022.2108813
Hänninen, M., Smedlund, A., & Mitronen, L. (2017). Digitalization in Retailing : Multi-Sided Platforms as Drivers of Industry Transformation. Baltic Journal of Management DOI: https://doi.org/10.1108/BJM-04-2017-0109
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/DOI 10.1007/s11747-014-0403-8
Horvath, C., & Adiguzel, F. (2018). Shopping enjoyment to the extreme : Hedonic shopping motivations and compulsive buying in developed and emerging markets. Journal of Business Research, 86, 300–310.
Hulland, J. (1999). USE OF PARTIAL LEAST SQUARES (PLS) IN STRATEGIC MANAGEMENT RESEARCH: A REVIEW OF FOUR RECENT STUDIES. Strategic Management Journal, 195–204.
Huwaida, L. A., Yusuf, A., Satria, A. N., Darmawan, M. A., Ammar, M. F., Yanuar, M. W., Hidayanto, A. N., & Yaiprasert, C. (2024). Generation Z and Indonesian Social Commerce: Unraveling key drivers of their shopping decisions. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100256. https://doi.org/10.1016/j.joitmc.2024.100256
Johnson, D., Rodwell, J., & Hendry, T. (2021). Analyzing the impacts of financial services regulation to make the case that buy-now-pay-later regulation is failing. Sustainability (Switzerland), 13(4), 1–20. https://doi.org/10.3390/su13041992
Kim, Y. K., Kim, E. Y., & Kumar, S. (2003). Testing the behavioral intentions model of online shopping for clothing. Clothing and Textiles Research Journal, 21(1), 32–40. https://doi.org/10.1177/0887302X0302100104
Manchiraju, S., Sadachar, A., & Ridgway, J. L. (2017). The Compulsive Online Shopping Scale (COSS): Development and Validation Using Panel Data. International Journal of Mental Health and Addiction, 15(1), 209–223. https://doi.org/10.1007/s11469-016-9662-6
Mason, M. C., Zamparo, G., Marini, A., & Ameen, N. (2022). Glued to your phone? Generation Z’s smartphone addiction and online compulsive buying. Computers in Human Behavior, 136(May), 107404. https://doi.org/10.1016/j.chb.2022.107404
Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019). Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. 3(November).
Montag, C., Lachmann, B., Herrlich, M., & Zweig, K. (2019). Addictive-features-of-social-media-messenger-platforms-and-freemium-games-against-the-background-of-psychological-and-economic-theories2019International-Journal-of-Environmental-Research-and-Public-HealthOpen-Acce.pdf. International Journal of Environmental Research and Public Health, 16, 1–16.
Müller, A., Mitchell, J. E., & De Zwaan, M. (2015). Compulsive buying. American Journal on Addictions, 24(2), 132–137. https://doi.org/10.1111/ajad.12111
Müller, A., Steins-loeber, S., Trotzke, P., Vogel, B., Georgiadou, E., & Zwaan, M. De. (2019). Online shopping in treatment-seeking patients with buying-shopping disorder. Comprehensive Psychiatry, 94, 152120. https://doi.org/10.1016/j.comppsych.2019.152120
Prensky, M. (2011). Digital Natives, Digital Immigrants Part 2: Do They Really Think Differently? On the Horizon, The Strategic Planning Resource for Education Professionals, 9(6), 1–16. https://doi.org/10.1093/med/9780190855574.003.0028
Ridgway, N. M., Kukar-Kinney, M., & Monroe, K. B. (2008). An expanded conceptualization and a new measure of compulsive buying. Journal of Consumer Research, 35(4), 622–639. https://doi.org/10.1086/591108
Roberts, J. A., Honore, L. U. C., Yaya, P., & Manolis, C. (2014). The invisible addiction : Cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions, 3(4), 254–265. https://doi.org/10.1556/JBA.3.2014.015
Rook, D. W., & Fisher, R. J. (1995). Normative Influences on Impulsive Buying Behavior. Journal of Consumer Research, 22.
Tanoto, S., & Evelyn, E. (2019). Financial Knowledge, Financial Wellbeing, and Online Shopping Addiction Among Young Indonesians. Jurnal Manajemen Dan Kewirausahaan, 21(1), 32–40. https://doi.org/10.9744/jmk.21.1.32-40
Tian, Y., Zhang, S., Wu, R., Wang, P., Gao, F., & Chen, Y. (2018). Association between specific internet activities and life satisfaction: The mediating effects of loneliness and depression. Frontiers in Psychology, 9(JUN), 1–11. https://doi.org/10.3389/fpsyg.2018.01181
Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21, 512–528.
Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. 1(807).
Voigt, C., Schl¨ogl, S., & Groth, A. (2021). Dark Patterns in Online Shopping: of Sneaky Tricks, Perceived Annoyance and Respective Brand Trust. In International Conference on Human-Computer Interaction (Pp. 143-155). Cham: Springer International Publishing.
Zhao, H., Tian, W., & Xin, T. (2017). The development and validation of the Online Shopping Addiction Scale. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00735
Zhu, H., Yang, Z., Ou, C. X. J., Liu, H., & Davison, R. M. (2015). Investigating the Impacts of Recommendation Agents on Impulsive Purchase Behaviour 2 Theoretical Development. 1–12.
zulham sitorus, et al. (2024). Analysis of Online Shopping Addiction Level Using the K-nearest Neighbor Algorithm at SMK Negeri 1 Tanjung Pura.pdf. Journal Og Information Technology, Computer Science and Electronic Engineering (JITCSE), 1(2), 139–148. https://doi.org/10.61306/jitcse.vli12
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