Examining the Mediating Effect of Technological Aspects on the relationship between Social Metadata Attributes and Continuance Use of the CLAPAM Facebook

Authors

  • Mazwani Ayu Mazlan School of Information Science, Universiti Teknologi MARA Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia
  • Mohd Ridwan Seman School of Information Science, Universiti Teknologi MARA Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia
  • Mohd Sazili Shahibi School of Information Science, Universiti Teknologi MARA Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.24191/jikm.v15iSI2.8295

Keywords:

Occupational stress, Personality, Neuroticism, Environmental stress, Burnout

Abstract

The CLAPAM Facebook page is used to research how technological aspects mediate the relationship between social metadata attributes and continuance use in health-oriented online communities. Using an Expectation-Confirmation Model-based questionnaire, the study examined continuous usage intents, social metadata traits, and technological aspects. Participants included n=607 people of varied demographics and social media literacy. Platform functionality and user-friendliness influence continued use more than social factors, contrary to earlier findings. This disparity is due to specialized health web platforms prioritizing health information and resources. Technological aspects influence the link between social metadata elements and continued use, underscoring their importance in sustained engagement. The study highlights technology to explain health-related online platform utilization. It proves the ECM's applicability and stresses the need for effective navigation, mobile optimization, and technical support to match users' social media literacy levels. Priorities include user-friendly design, adaptive functionality, and digital beginner resources. The study only investigated the CLAPAM Facebook page, but it suggests future research on other platforms and user demographics to generalize findings. It highlights how technology keeps health-focused online groups active, offering insights for platform design and user experience to meet their demands in social media usage.

References

Aldahdouh, T. Z., Nokelainen, P., & Korhonen, V. (2020). Technology and social media usage in higher education: The influence of individual innovativeness. Sage Open, 10(1), 2158244019899441.

Basuki, R., Tarigan, Z. J. H., Siagian, H., Limanta, L. S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era (Doctoral dissertation, Petra Christian University).

Busalim, A. H., & Ghabban, F. (2021). Customer engagement behaviour on social commerce platforms: An empirical study. Technology in society, 64, 101437.

Chaka, J. G., & Govender, I. (2020). Implementation of mobile learning using a social network platform: Facebook. Problems of Education in the 21st Century, 78(1), 24.

Chakrabarti, P., Malvi, E., Bansal, S., & Kumar, N. (2023). Hashtag recommendation for enhancing the popularity of social media posts. Social Network Analysis and Mining, 13(1), 21.

Dawson, P. (2020). Hashtag narrative: Emergent storytelling and affective publics in the digital age. International Journal of Cultural Studies, 23(6), 968-983.

Erz, A., Marder, B., & Osadchaya, E. (2018). Hashtags: Motivational drivers, their use, and differences between influencers and followers. Computers in Human Behavior, 89, 48-60.

Fischer, B., Peine, A., & Östlund, B. (2020). The importance of user involvement: a systematic review of involving older users in technology design. The Gerontologist, 60(7), e513-e523.

Hanaysha, J. R. (2022). Impact of social media marketing features on consumer's purchase decision in the fast-food industry: Brand trust as a mediator. International Journal of Information Management Data Insights, 2(2), 100102.

Huang, Y. N., Love, M. I., Ronkowski, C. F., Deshpande, D., Schriml, L. M., Wong-Beringer, A., ... & Mangul, S. (2023). Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Ilias, I. S. C., Ramli, S., Wook, M., & Hasbullah, N. A. (2024). Unraveling Social Media’s Issues on Public Opinion and Activism: A Thematic Review. Board Diversity and Corporate Governance, 155-163.

Jain, K., & Jindal, R. (2020). A survey on hashtag recommendations. In Conference of open innovations association, FRUCT (No. 27, pp. 323-327).

Kwon, S., & Ha, S. (2023). Examining identity-and bond-based hashtag community identification: the moderating role of self-brand connections.

Journal of Research in Interactive Marketing, 17(1), 78-93.

Kwon, S., & Ha, S. (2023). Examining identity-and bond-based hashtag community identification: the moderating role of self-brand connections. Journal of Research in Interactive Marketing, 17(1), 78-93.

Lun, L., Zetian, D., Hoe, T. W., Juan, X., Jiaxin, D., & Fulai, W. (2024). Factors Influencing User Intentions on Interactive Websites: Insights From the Technology Acceptance Model. IEEE Access.

Lun, L., Zetian, D., Hoe, T. W., Juan, X., Jiaxin, D., & Fulai, W. (2024). Factors Influencing User Intentions on Interactive Websites: Insights From the Technology Acceptance Model. IEEE Access.

Mazumdar, S., & Thakker, D. (2020). Citizen science on twitter: Using data analytics to understand conversations and networks. Future Internet, 12(12), 210.

Mazurek, J., Rico, C. P., Fernández, C., Magnot, J. P., & Magnot, T. (2021). The 5-item Likert Scale and percentage scale correspondence with implications for the use of models with (fuzzy) linguistic variables. Revista de Métodos Cuantitativos para la Economía y la Empresa.

McKelvey, F., & Hunt, R. (2019). Discoverability: Toward a definition of content discovery through platforms. Social media+ Society, 5(1), 2056305118819188.

Mhlongo, T. (2023). Determining the usability, user experience, and continuance use of a mobile application and an online portal: A comparative case study.

Omena, J. J., Rabello, E. T., & Mintz, A. G. (2020). Digital methods for hashtag engagement research. Social media+ Society, 6(3), 2056305120940697.

Phadke, S., Samory, M., & Mitra, T. (2022). Pathways through conspiracy: the evolution of conspiracy radicalization through engagement in online conspiracy discussions. In Proceedings of the international AAAI conference on web and social media (Vol. 16, pp. 770-781).

Robinson, A., Husband, A., Slight, R., & Slight, S. P. (2022). Designing digital health technology to support patients before and after bariatric surgery: qualitative study exploring patient desires, suggestions, and reflections to support lifestyle behavior change. JMIR Human Factors, 9(1), e29782.

Sun, S., Kim, M., Nan, D., & Kim, J. H. (2022). Relationship between Hashtags Usage and Reach Rate in Instagram. In 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) (pp. 1-4). IEEE.

Wang, J., & Xie, J. (2023). Exploring the factors influencing users' learning and sharing behavior on social media platforms. Library Hi Tech, 41(5), 1436-1455.

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Published

01-08-2025

How to Cite

Mazlan, M. A., Seman, M. R., & Shahibi, M. S. (2025). Examining the Mediating Effect of Technological Aspects on the relationship between Social Metadata Attributes and Continuance Use of the CLAPAM Facebook. Journal of Information and Knowledge Management, 15(SI2), 215–224. https://doi.org/10.24191/jikm.v15iSI2.8295

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Section

The 6th International Conference of Information Science

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