Electronic Effects Of Word Of Mouth And Perceived Value On Blood Donor Intention: Theory Of Planned Behavior

Tiny Rahayu; Asep Hermawan; Ayu Ekasari

doi:10.55227/ijhess.v3i3.839

Authors

Tiny Rahayu Universitas Trisakti
Asep Hermawan Universitas Trisakti
Ayu Ekasari Universitas Trisakti

DOI:

https://doi.org/10.55227/ijhess.v3i3.839

Keywords:

Theory Of Planned Behaviour, Blood Donor Intention, Perceived Value, Electronic Word of Mouth, E-WoM.

Abstract

The research aims to find out whether electronic word of mouth (E-WoM) and perceived value can be a starting factor in an effort to increase blood donor intention using the expansion of the Theory of Planned Behaviour (TPB) to attract potential onors, especially in the West Java region. The data was collected using a questionnaire shared online with social media users who knew that the Indonesian Red Cross (PMI) was an altruistic agency dealing with blood donors. Data was processed using the structural equation modelling (SEM) approach with the partial least squares method (PLS). Using the help of SmartPLS software, the research found that electronic word of mouth, emotional value, altruistic value, and functional value significantly influenced attitude and succeeded in becoming a starting factor in efforts to enhance blood donor intention. The research also revealed that social value does not support the formation of attitudes that mean people donate blood not for social recognition. The findings provide managerial implications to altruistic institutions in developing appropriate promotion strategies for recruiting potential donors based on the findings, theoretically contribute to the development of TPB theory, and are expected to be a reference for future research related to blood donor intention.

References

Abubakar, A.M., Ilkan, M., & Sahin, P. (2016). eWOM, eReferral and gender in the virtual community. Marketing Intelligence and Planning, 34(5), 692–710. https://doi.org/10.1108/MIP-05-2015-0090

Aerts, G., Smits, T., & Verlegh, P. W. J. (2017). How online consumer reviews are influenced by the language and valence of prior reviews: A construal level perspective. Computers in Human Behavior, 75, 855–864. https://doi.org/10.1016/j.chb.2017.06.023

Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase online travel and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97–111. https://doi.org/10.1016/j.chb.2016.02.038

Agustina, D. (2018). West Java Province with the Largest Number of Thalassemia Sufferers. Tribune News. https://www.tribunnews.com/regional/2018/05/21/jawa-barat-provinsi-terbesar-nomor-penderita-thalassemia

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I. (2015). Consumer attitudes and behavior: the theory of planned behavior applied to food consumption decisions. Italian Review of Agricultural Economics, 70(2), 121–138. https://doi.org/10.13128/REA-18003

Alfes, K., Antunes, B., & Shantz, A.D. (2016). The management of volunteers–what can human resources do? A review and research agenda. International Journal of Human Resource Management, 28(1), 62–97. https://doi.org/10.1080/09585192.2016.1242508

Andrianto, N.M. (2020). Perceived Value, Attitude Towards Ad, and Purchase Intention in Coca Cola's Emotional Ads. JIMFE (Faculty Management Scientific Journal..., 6(2), 221–236. https://journal.unpak.ac.id/index.php/jimfe/article/view/2431

Arta, IGS, & Yasa, NNK (2019). the Role of Purchase Intention on Mediating the Relationship of E-Wom and E-Wom Credibility To Purchase Decision. Russian Journal of Agricultural and Socio-Economic Sciences, 86(2), 33–39. https://doi.org/10.18551/rjoas.2019-02.06

Asamoah-Akuoko, L., Ullum, H., Appiah, B., Hassall, O.W., Ndanu, T., Adongo, P., & Bates, I. (2021). Determinants of intention to return to donate blood among first-time blood donors in Ghana. Vox Sanguinis, 116(3), 324–335. https://doi.org/10.1111/vox.13026

Aschale, A., Fufa, D., Kekeba, T., & Birhanu, Z. (2021). Intention to voluntary blood donation among private higher education students, Jimma town, Oromia, Ethiopia: Application of the theory of planned behavior. PLoS ONE, 16(3 March), 1–14. https://doi.org/10.1371/journal.pone.0247040

Bagoes, P. (2021). 10 Countries with the Largest Population in the World. Grid Kids. https://kids.grid.id/read/472938361/10-rutan-negara-dengan-nomor-penbesar-terbesar-di-dunia-indonesia-nomor-berapa?page=all#:~:text=Number of world population Currently, it is only spread across 10 countries.

Bandura, A. (1991). Social cognitive theory of self-regulation. Journal of Organizational and Human Decision Processes, Vol. 50, 248–287.

Budiman, A. (2021). World Blood Donor Day: Blood Supply Decreases, People with Thalassemia Major are Anxious. VOA Magazine. https://www.voaindonesia.com/a/hari-donor-darah-sedunia-suplai-darah-menurun-penpeng-talasemia-mayor-cemas/5928000.html

Charsetad, P. (2016). Role of religious beliefs in blood donation behavior among the youth in Iran: A theory of planned behavior perspective. Journal of Islamic Marketing, 7(3), 250–263. https://doi.org/10.1108/JIMA-05-2014-0037

Chell, K., & Mortimer, G. (2014). Investigating online recognition for blood donor retention: An experiential donor value approach. International Journal of Nonprofit and Voluntary Sector Marketing, 19(2), 143–163. https://doi.org/10.1002/nvsm.1489

Chen, C.W., Chen, W.C., & Chen, W.K. (2014). Understanding the effects of eWOM on cosmetic consumer behavioral intention. International Journal of Electronic Commerce Studies, 5(1), 97–102. https://doi.org/10.7903/ijecs.1030

Chen, J., Teng, L., Yu, Y., & Yu, X. (2016). The effect of online information sources on purchase intentions between consumers with high and low susceptibility to informational influence. Journal of Business Research, 69(2), 467–475. https://doi.org/10.1016/j.jbusres.2015.05.003

Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477–491. https://doi.org/10.1287/mnsc.1070.0810