The Impact of Recommendation System Overuse on the Subjective Wellbeing of Internet Users
DOI:
https://doi.org/10.32628/IJSRSET218156Keywords:
Internet, Social Media Overload, Recommendation System Overuse, Self-Concept Clarity, Subjective WellbeingAbstract
The stress in identifying useful information on the internet facilitated the use of recommendation systems by e-commerce and social network platforms to help users find their interested information quickly. However, this study seeks to investigate the impact of recommendation system overuse on the subjective wellbeing of internet users. The study reviewed previous studies in developing a research framework from the SOBC model that identifies social media overload as a (Situation) that triggers the intentions of internet users (Organism) to excessively use recommendation systems on the internet based on their level of self-concept clarity (Behavior) which (Consequently) affect their subjective wellbeing. SmartPLS 3.0 and SPSS v.22 software were deployed to analyze the research data and discover links between the constructs. The obtained results of the study confirm that, overuse of online recommendation systems negatively affect users' subjective wellbeing.
References
- Belkhadir, I., Omar, E. D., & Boumhidi, J. (2019). An intelligent recommender system using social trust path for recommendations in web-based social networks. Procedia Computer Science, 148, 181–190. https://doi.org/10.1016/j.procs.2019.01.035
- Bettman, J. R., Luce, M. F., & Payne, J. W. (1998). Constructive Consumer Choice Processes. Journal of Consumer Research, 25(3), 187–217. https://doi.org/10.1086/209535
- Butzer, B., & Kuiper, N. A. (2006). Relationships between the frequency of social comparisons and self-concept clarity, intolerance of uncertainty, anxiety, and depression. Personality and Individual Differences, 41(1), 167–176. https://doi.org/10.1016/j.paid.2005.12.017
- Campbell, J. D., Trapnell, P. D., Heine, S. J., Katz, I. M., Ravallee, L. F., & Lehman, D. R. (1996). Self-concept clarity: Measurement, personality correlates, and cultural boundaries. Journal of Personality and Social Psychology, 70(1), 141–156.
- Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.
- Davis, T. R. V., & Luthans, F. (1980). A Social Learning Approach to Organizational Behavior. Academy of Management Review, 5(2), 281–290. https://doi.org/10.5465/amr.1980.4288758
- Diener, E., Lucas, R. E., & Oishi, S. (1984). Subjective Well-Being-The Science of Happiness and Life Satisfaction. Psychological Bulletin, 542–575.
- Hadj Sassi, M. S., Jedidi, F. G., & Fourati, L. C. (2019). A New Architecture for Cognitive Internet of Things and Big Data. Procedia Computer Science, 159, 534–543. https://doi.org/10.1016/j.procs.2019.09.208
- Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
- Hu, G. N., Dai, X. Y., Song, Y., Huang, S. J., & Chen, J. J. (2015). A synthetic approach for recommendation: Combining ratings, social relations, and reviews. In Proc. of IJCAI, 1756–1762.
- Isinkaye, F. O., Folajimi, Y. O., & Ojokoh, B. A. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian Informatics Journal, 16(3), 261–273. https://doi.org/10.1016/j.eij.2015.06.005
- Karr-wisniewski, P., & Lu, Y. (2010). Computers in Human Behavior When more is too much?: Operationalizing technology overload and exploring its impact on knowledge worker productivity. COMPUTERS IN HUMAN BEHAVIOR, 1–12. https://doi.org/10.1016/j.chb.2010.03.008
- Lee, G., Lee, J., & Sanford, C. (2010). The roles of self-concept clarity and psychological reactance in compliance with product and service recommendations. Computers in Human Behavior, 26(6), 1481–1487. https://doi.org/10.1016/j.chb.2010.05.001
- Liu, P., Tov, W., Kosinski, M., Stillwell, D. J., & Qiu, L. (2015). Do Facebook Status Updates Reflect Subjective Well-Being? Cyberpsychology, Behavior, and Social Networking, 18(7), 373–379. https://doi.org/10.1089/cyber.2015.0022
- Luhmann, M. (2017). Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences, 18, 28–33. https://doi.org/10.1016/j.cobeha.2017.07.006
- Malhotra, N. K. (1988). Self concept and product choice: An integrated perspective. Journal of Economic Psychology, 9(1), 1–28. https://doi.org/10.1016/0167-4870(88)90029-3
- Mittal, B. (2015). Self-concept clarity: Exploring its role in consumer behavior. Journal of Economic Psychology, 46, 98–110. https://doi.org/10.1016/j.joep.2014.11.003
- Novemsky, N., Dhar, R., Schwarz, N., & Simonson, I. (2007). Preference Fluency in Choice. Journal of Marketing Research, 44(3), 347–356. https://doi.org/10.1509/jmkr.44.3.347
- Ramos, G., Boratto, L., & Caleiro, C. (2020). On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms. Information Processing & Management, 57(2), 102058. https://doi.org/10.1016/j.ipm.2019.102058
- Ricci, F., Rokach, L., & Shapira, B. (2015). Recommender Systems: Introduction and Challenges. In Recommender Systems Handbook (pp. 1–34). Springer US. https://doi.org/10.1007/978-1-4899-7637-6_1
- Sharma, L., & Gera, A. (2013). A Survey of Recommendation System?: Research. International Journal of Engineering Trends and Technology (IJETT), 4(5), 1989–1992.
- Shrestha, P. (2017). Overt vs Covert Behavior," in Psychestudy. https://www.psychestudy.com/behavioral/behavior/overt-vs-covert
- Slocum-Gori, S. L., Zumbo, B. D., Michalos, A. C., & Diener, E. (2009). A Note on the Dimensionality of Quality of Life Scales: An Illustration with the Satisfaction with Life Scale (SWLS). Social Indicators Research, 92(3), 489–496. https://doi.org/10.1007/s11205-008-9303-y
- Smith, M., Wethington, E., & Zhan, G. (1996). Self-Concept Clarity and Preferred Coping Styles. Journal of Personality, 64(2), 407–434. https://doi.org/10.1111/j.1467-6494.1996.tb00516.x
- Tov, W. (2012). Institutional Knowledge at Singapore Management University Daily experiences and well-being?: Do memories of events matter?? 26, 1371–1389.
- Whelan, E., Islam, A. K. M. N., & Brooks, S. (2020). Applying the SOBC paradigm to explain how social media overload affects academic performance. Computers & Education, 143, 103692. https://doi.org/10.1016/j.compedu.2019.103692
- Yu, L., Shi, C., & Cao, X. (2019). Understanding the Effect of Social Media Overload on Academic Performance: A Stressor-Strain-Outcome Perspective. 6, 2657–2666. https://doi.org/10.24251/HICSS.2019.320
- Zhao, W., Ma, H., Li, Z., Ao, X., & Li, N. (2020). Improving social and behavior recommendations via network embedding. Information Sciences, 516, 125–141. https://doi.org/10.1016/j.ins.2019.12.038
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET

This work is licensed under a Creative Commons Attribution 4.0 International License.