IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v130y2018icp14-27.html
   My bibliography  Save this article

The social side of sustainability: Well-being as a driver and an outcome of social relationships and interactions on social networking sites

Author

Listed:
  • Munzel, Andreas
  • Meyer-Waarden, Lars
  • Galan, Jean-Philippe

Abstract

Although social sustainability involves processes that promote well-being, it is often neglected in the sustainability debate. Social networking sites (SNSs) such as Facebook are now pervasive venues for constant interpersonal communication and interaction, as well as general social connectedness. The debate between cyberoptimists and cyberpessimists about the implications of SNS use for well-being persists. The present study adopts a social sustainability perspective and seeks to further elucidate two competing hypotheses; thus, subjective well-being is included as a driver and an outcome of SNS use and social network characteristics. We conducted a survey of 678 Facebook users across various age categories and then applied a two-step approach to analyze the data. The results reveal that although the structural parameters seem to widely support the social enhancement hypothesis, a more differentiated analysis shows that highly extraverted individuals spend more time on Facebook when they are unhappy. Furthermore, the more time that such extraverts spend on Facebook, the more they believe that it improves their overall well-being. This finding is further supported by our identification of a four-class structure in which a clear distinction of users emerges based on age, gender, and extraversion.

Suggested Citation

  • Munzel, Andreas & Meyer-Waarden, Lars & Galan, Jean-Philippe, 2018. "The social side of sustainability: Well-being as a driver and an outcome of social relationships and interactions on social networking sites," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 14-27.
  • Handle: RePEc:eee:tefoso:v:130:y:2018:i:c:p:14-27
    DOI: 10.1016/j.techfore.2017.06.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162517308727
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2017.06.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anand, Sudhir & Sen, Amartya, 2000. "Human Development and Economic Sustainability," World Development, Elsevier, vol. 28(12), pages 2029-2049, December.
    2. Amit Bhattacharjee & Cassie Mogilner, 2014. "Happiness from Ordinary and Extraordinary Experiences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 1-17.
    3. Davis, Brennan & Pechmann, Cornelia, 2013. "Introduction to the Special Issue on transformative consumer research: Developing theory to mobilize efforts that improve consumer and societal well-being," Journal of Business Research, Elsevier, vol. 66(8), pages 1168-1170.
    4. Keith Wilcox & Andrew T. Stephen, 2013. "Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(1), pages 90-103.
    5. Efrat Eizenberg & Yosef Jabareen, 2017. "Social Sustainability: A New Conceptual Framework," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    6. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    7. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    8. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    9. Scott Wallsten, 2015. "What Are We Not Doing When We Are Online?," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 55-82, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Herrero, Juan & Rodríguez, Francisco J. & Urueña, Alberto, 2023. "Use of smartphone apps for mobile communication and social digital pressure: A longitudinal panel study," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    3. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Agnieszka Wojewódzka-Wiewiórska & Anna Kłoczko-Gajewska & Piotr Sulewski, 2019. "Between the Social and Economic Dimensions of Sustainability in Rural Areas—In Search of Farmers’ Quality of Life," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    5. Tuğba Koç & Aykut Hamit Turan, 2021. "The Relationships Among Social Media Intensity, Smartphone Addiction, and Subjective Wellbeing of Turkish College Students," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 1999-2021, October.
    6. Anja Scheurich & Alexandra Penicka & Stefan Hörtenhuber & Thomas Lindenthal & Elisabeth Quendler & Werner Zollitsch, 2021. "Elements of Social Sustainability among Austrian Hay Milk Farmers: Between Satisfaction and Stress," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    7. Miranda, Sandra & Trigo, Inês & Rodrigues, Ricardo & Duarte, Margarida, 2023. "Addiction to social networking sites: Motivations, flow, and sense of belonging at the root of addiction," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    8. Seung Yeop Lee & Sang Woo Lee, 2020. "Social Media Use and Job Performance in the Workplace: The Effects of Facebook and KakaoTalk Use on Job Performance in South Korea," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    9. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    10. Tong Zou & Yikun Su & Yaowu Wang, 2018. "Examining Relationships between Social Capital, Emotion Experience and Life Satisfaction for Sustainable Community," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    11. Kaur, Puneet & Islam, Nazrul & Tandon, Anushree & Dhir, Amandeep, 2021. "Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    12. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    13. Chenyang Zhang & Jianjun Jin & Xin Qiu & Lin Li & Rui He, 2022. "Regional Social Relationships Evaluation Using the AHP and Entropy Weight Method: A Case Study of the Qinghai–Tibet Plateau, China," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    14. Md Shahzalal & Hamedi Mohd Adnan, 2022. "Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior," Sustainability, MDPI, vol. 14(16), pages 1-38, August.
    15. Laura Delgado-Lobete & Rebeca Montes-Montes & Alba Vila-Paz & Miguel-Ángel Talavera-Valverde & José-Manuel Cruz-Valiño & Berta Gándara-Gafo & Adriana Ávila-Álvarez & Sergio Santos-del-Riego, 2020. "Subjective Well-Being in Higher Education: Psychometric Properties of the Satisfaction with Life and Subjective Vitality Scales in Spanish University Students," Sustainability, MDPI, vol. 12(6), pages 1-13, March.
    16. Natalia Sánchez-Arrieta & Rafael A. González & Antonio Cañabate & Ferran Sabate, 2021. "Social Capital on Social Networking Sites: A Social Network Perspective," Sustainability, MDPI, vol. 13(9), pages 1-35, May.
    17. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. Esther Pagán-Castaño & Javier Sánchez-García & Fernando J. Garrigos-Simon & María Guijarro-García, 2021. "The Influence of Management on Teacher Well-Being and the Development of Sustainable Schools," Sustainability, MDPI, vol. 13(5), pages 1-23, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Andreini & Diego Rinallo & Giuseppe Pedeliento & Mara Bergamaschi, 2017. "Brands and Religion in the Secularized Marketplace and Workplace: Insights from the Case of an Italian Hospital Renamed After a Roman Catholic Pope," Journal of Business Ethics, Springer, vol. 141(3), pages 529-550, March.
    2. Byrd, T. A. & Marshall, T. E., 1997. "Relating information technology investment to organizational performance: a causal model analysis," Omega, Elsevier, vol. 25(1), pages 43-56, February.
    3. Agnieszka Wojewódzka-Wiewiórska & Anna Kłoczko-Gajewska & Piotr Sulewski, 2019. "Between the Social and Economic Dimensions of Sustainability in Rural Areas—In Search of Farmers’ Quality of Life," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    4. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Preferences for Driver Traveler Information Using Wireless Internet-enabled Devices," University of California Transportation Center, Working Papers qt40q8h6sf, University of California Transportation Center.
    5. Naiara Escalante Mateos & Eider Goñi Palacios & Arantza Fernández-Zabala & Iratxe Antonio-Agirre, 2020. "Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33," IJERPH, MDPI, vol. 17(13), pages 1-24, July.
    6. Jung, Hyekyung & Schafer, Joseph L. & Seo, Byungtae, 2011. "A latent class selection model for nonignorably missing data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 802-812, January.
    7. repec:jss:jstsof:06:i02 is not listed on IDEAS
    8. Lin Ting Hsiang, 2006. "A comparison of model selection indices for nested latent class models," Monte Carlo Methods and Applications, De Gruyter, vol. 12(3), pages 239-259, October.
    9. Wedel, Michel & Böckenholt, Ulf & Kamakura, Wagner A., 2003. "Factor models for multivariate count data," Journal of Multivariate Analysis, Elsevier, vol. 87(2), pages 356-369, November.
    10. Barbieri, Elisa & Di Tommaso, Marco R. & Pollio, Chiara & Rubini, Lauretta, 2020. "Getting the specialization right. Industrialization in Southern China in a sustainable development perspective," World Development, Elsevier, vol. 126(C).
    11. Pendharkar, Parag C., 2006. "Scale economies and production function estimation for object-oriented software component and source code documentation size," European Journal of Operational Research, Elsevier, vol. 172(3), pages 1040-1050, August.
    12. Koufteros, Xenophon & Lu, Guanyi & Peters, Richard C. & Lai, Kee-hung & Wong, Christina W.Y. & Edwin Cheng, T.C., 2014. "Product development practices, manufacturing practices, and performance: A mediational perspective," International Journal of Production Economics, Elsevier, vol. 156(C), pages 83-97.
    13. Yang, Chih-Chien, 2006. "Evaluating latent class analysis models in qualitative phenotype identification," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1090-1104, February.
    14. Ando, Tomohiro, 2009. "Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1717-1726, September.
    15. GONZALO, Jesus & PITARAKIS, Jean-Yves, 1994. "Comovements in Large Systems," LIDAM Discussion Papers CORE 1994065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Qi Yuan & Tee Hng Tan & Peizhi Wang & Fiona Devi & Hui Lin Ong & Edimansyah Abdin & Magadi Harish & Richard Goveas & Li Ling Ng & Siow Ann Chong & Mythily Subramaniam, 2020. "Staging dementia based on caregiver reported patient symptoms: Implications from a latent class analysis," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-12, January.
    17. Marc Blais & Ursula Hess & Andrea S. Riddle, 2002. "Static Versus Dynamic Structural Models of Depression: The Case of the CES-D," CIRANO Working Papers 2002s-37, CIRANO.
    18. Tuan, Luu Trong & Ngan, Vu Thanh, 2021. "Leading ethically to shape service-oriented organizational citizenship behavior among tourism salespersons: Dual mediation paths and moderating role of service role identity," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    19. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
    20. Michael R. Cope & Ashley R. Kernan & Scott R. Sanders & Carol Ward, 2022. "Social Sustainability?: Exploring the Relationship between Community Experience and Perceptions of the Environment," Sustainability, MDPI, vol. 14(3), pages 1-10, February.
    21. Roy Levy & Gregory R. Hancock, 2011. "An Extended Model Comparison Framework for Covariance and Mean Structure Models, Accommodating Multiple Groups and Latent Mixtures," Sociological Methods & Research, , vol. 40(2), pages 256-278, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:130:y:2018:i:c:p:14-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.