Main Article Content

Abstract

This study examines the factors influencing donation activities on the Kitabisa.com platform by analyzing data from 120 respondents collected through Google Forms and processed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The results show that the initiator's reputation, campaign popularity, and credibility significantly influence donor behavior, highlighting the crucial role of credibility in determining the success of crowdfunding campaigns. The study applies the Stimulus-Organism-Behavior-Consequence (SOBC) theory to understand the psychological mechanisms behind donation behavior, emphasizing the interplay between credibility and campaign popularity in shaping donor decisions. From a practical standpoint, these findings provide valuable insights for crowdfunding platforms, suggesting that enhancing credibility and increasing campaign popularity can drive higher donor engagement. Furthermore, policymakers and campaign initiators can leverage these insights to design more effective fundraising strategies. However, the study has several limitations, including its focus solely on Kitabisa.com, the use of non-probability sampling methods, and the reliance on subjective e-WOM measurements, which may limit the generalizability of the findings. Future research could explore other crowdfunding platforms, incorporate probability sampling techniques, and employ more objective e-WOM measures to enhance the robustness of the results.

Keywords

How Campaign Drive Behavior SOBC Conceptual Framework

Article Details

References

  1. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888. https://doi.org/10.1037/0033-2909.84.5.888
  2. Aw, E., Thomas, S., Patel, R., Bhatt, V., & Cham, T.-H. (2024). Click to contribute: Understanding donation behavior and well-being in donation-based crowdfunding mobile apps. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-11-2023-0635
  3. Chakraborty, D., Siddiqui, A., Siddiqui, M., & Mohmmad H Alatawi, F. (2022). Exploring consumer purchase intentions and behavior of buying Ayurveda products using SOBC framework. Journal of Retailing and Consumer Services, 65, 102889. https://doi.org/10.1016/j.jretconser.2021.102889
  4. 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
  5. de Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91. https://doi.org/10.1016/j.intmar.2012.01.003
  6. Goutam, D., Ganguli, S., & BV, G. (2022). Technology readiness and e-service quality – Impact on purchase intention and loyalty. Marketing Intelligence & Planning. https://doi.org/10.1108/MIP-06-2021-0196
  7. Hennig-Thurau, T., et al. (2020). The influence of initiator credibility and social media on consumer engagement in crowdfunding campaigns. Journal of Marketing, 84(2), 72–89. https://doi.org/10.1509/jm.19.0161
  8. Jin, B., & Phua, J., & Lee, S. (2021). Social media and crowdfunding: The role of campaign reputation and online interaction. Computers in Human Behavior, 115, 106584. https://doi.org/10.1016/j.chb.2020.106584
  9. Jin, B., Yong Park, J., & Kim, J. (2008). Cross-cultural examination of the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review, 25(3), 324–337. https://doi.org/10.1108/02651330810877243
  10. Jin, S. A., & Phua, J. (2014). Following celebrities’ tweets about brands: The impact of Twitter-based electronic word-of-mouth on consumers’ source credibility perception, buying intention, and social identification with celebrities. Journal of Advertising, 43, 181–195. https://doi.org/10.1080/00913367.2013.827606
  11. Jøsang, A., Ismail, R., & Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decision Support Systems, 43(2), 618–644. https://doi.org/10.1016/j.dss.2005.05.019
  12. Kasri, R., & Indriani, E. (2021). Empathy or perceived credibility? An empirical study of Muslim donating behavior through online charitable crowdfunding in Indonesia. International Journal of Islamic and Middle Eastern Finance and Management. https://doi.org/10.1108/IMEFM-09-2020-0468
  13. Kamarudin, M. K., Mustaffa, F., Ganti, N., Norzilan, N., Zainan, N., & Khidzir, M. (2024). Determinants of donation intentions in Malaysia. International Journal of Social Economics. https://doi.org/10.1108/IJSE-04-2023-0291
  14. Liu, L., Suh, A., & Wagner, C. (2018). Empathy or perceived credibility? An empirical study on individual donation behavior in charitable crowdfunding. Internet Research, 28(3), 623–651. https://doi.org/10.1108/IntR-06-2017-0240
  15. Miao, M., Jalees, T., Zaman, S., Khan, S., Hanif, N. A., & Javed, M. (2021). The influence of e-customer satisfaction, e-trust, and perceived value on consumer’s repurchase intention in B2C e-commerce segment. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-03-2021-0221
  16. O'Keefe, D. J. (2016). Persuasion: Theory and research (3rd ed.). SAGE Publications, Inc.
  17. Shin, S., & Lee, W. J. (2021). Factors affecting user acceptance for NFC mobile wallets in the U.S. and Korea. Innovation & Management Review, 18(4), 417–433. https://doi.org/10.1108/INMR-02-2020-0018
  18. Shin, D., & Lee, J. (2021). The impact of campaign credibility on the success of crowdfunding: The role of trust and information transparency. Journal of Business Research, 134, 161–170. https://doi.org/10.1016/j.jbusres.2021.04.015
  19. Snyder, J., & Cohen, I. G. (2019). Medical crowdfunding for unproven medical treatments: Should GoFundMe become a gatekeeper? Hastings Center Report, 49(6), 32–38. https://doi.org/10.1002/hast.1066
  20. Sohn, C., & Tadisina, S. K. (2008). Development of e-service quality measure for internet-based financial institutions. Total Quality Management & Business Excellence, 19(9), 903–918. https://doi.org/10.1080/14783360802224412
  21. Talwar, S., Jabeen, F., Luukela-Tandon, A., Sakashita, M., & Dhir, A. (2021). What drives willingness to purchase and stated buying behavior toward organic food? A Stimulus–Organism–Behavior–Consequence (SOBC) perspective. Journal of Cleaner Production, 293, 125882. https://doi.org/10.1016/j.jclepro.2021.125882
  22. Westerman, D., Spence, P. R., & Van Der Heide, B. (2012). A social network as information: The effect of system-generated reports of connectedness on credibility on Twitter. Computers in Human Behavior, 28(1), 199–206. https://doi.org/10.1016/j.chb.2011.09.001
  23. Xu, J. (David), Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: An empirical test in the e-service context. MIS Quarterly, 37(3), 777–794. http://www.jstor.org/stable/43825999
  24. Zaremohzzabieh, Z., Ismail, N., Ahrari, S., & Abu Samah, A. (2021). The effects of consumer attitude on green purchase intention: A meta-analytic path analysis. Journal of Business Research, 132, 732–743. https://doi.org/10.1016/j.jbusres.2020.10.053