Contribution about Social Responsibility for Business Organizations:Implementing the Micro-donation
Abstract
This paper aimed to answer the question regarding the distribution of micro-donations. It focuses on investigating that how rounding-up the invoice amount of purchases could change the donation market. In order to do so an intensive literature review on ethics, Corporate Social Responsibility (CSR) and donations with a special focus on micro-donations was conducted. The findings from the literature review show that micro-donations can be used as a low threshold for customers to do good and as a starting point for bigger donations. Those findings were discussed in the light of how micro-donations can be perceived by customers and by corporations. Implementation strategies for micro-donations at different point-of-sales were analyzed within the work. The results of this literature review were compared with those of an empirical study that was also conducted in the course of the PhD. A quantitative survey taking place in both Germany and Romania including 16 closed-ended questions regarding people's attitude towards micro-donations was used to deepen the understanding of the topic. Analysis of the gathered data showed that, as was partially predicted by the findings from the literature review, the option to donate via micro-donations seem relevant especially for the young and the poor. Those usually very hard to reach demographics can with this measure be nudged into donating small amounts. In general, the paper was able to show that people do have a very positive attitude towards microdonations. Still, special education on the topic is needed in order to achieve optimal results.
References
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Unpublished doctoral dissertation). Massachusetts Institute of Technology, Cambridge, MA.
Direkwuttanakunchai, P., & Yousapronpaiboon, K. (2017). A model of technology acceptance and trust that influences attitudes and affects the intention to use Samsung pay in Thailand. Journal of Administrative and Business Studies, 3(4), 171-179.
doi:https://doi.org/10.20474/jabs-3.4.2
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27). Reading, MA: Addison- Wesley.
Godin, G., Conner, M., & Sheeran, P. (2005, dec). Bridging the intention-behaviour gap: The role of moral norm. British Journal of Social Psychology, 44(4), 497-512.
doi:https://doi.org/10.1348/014466604x17452
Khomkaiy, U., Khanchitpol, & Yousapronpaiboon. (2017). Service quality that affects the behavioral intention to re-visit low cost airline. International Journal of Business and Administrative Studies, 3(4), 144-151.
doi:https://doi.org/10.20469/ijbas.3.10003-4
Kirchgassner, G. (1992). Towards a theory of low-cost decisions. European Journal of Political Economy, 8(2), 305-320.
doi:https://doi.org/10.1016/0176-2680(92)90028-f
Konigstorfer, J. (2008). Acceptance of technological innovations. Wiesbaden, Germany: Gabler Publishing House.
Luce, R. D., & Raiffa, H. (1989). Games and decisions: Introduction and critical survey. Mineola, NY: Dover Publications.
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3-9.
doi:https://doi.org/10.1177/0146167292181001
Nabilla, F. (2019). Advertising attitude, green purchase intention and environmental concern: Promoting functional versus emotional appeals. International Journal of Business and Administrative Studies, 5(4),199-223.
doi:https://doi.org/10.20469/ijbas.5.10003-4
Rosenberg, M. J. (1956). Cognitive structure and attitudinal affect. The Journal of Abnormal and Social Psychology, 53(3), 367-372.
doi:https://doi.org/10.1037/h0044579
Schreiber, G. B., Schlumpf, K. S., Glynn, S. A., Wright, D. J., Tu, Y., King, M. R., ... and, A. M. G. (2006). Convenience, the bane of our existence, and other barriers to donating. Transfusion, 46(4), 545-553.
doi:https://doi.org/10.1111/j.1537-2995.2006.00757.x
Sheeran, P. (2002). Intention-behavior relations: A conceptual and empirical review. European Review of Social Psychology, 12(1), 1-36.
doi:https://doi.org/10.1080/14792772143000003
Sheeran, P., & Webb, T. L. (2016). The intention-behavior gap. Social and Personality Psychology Compass, 10(9), 503-518.
doi:https://doi.org/10.1111/spc3.12265
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research,15(3), 325-343.
doi:https://doi.org/10.1086/209170
Thanyasunthornsakun, K., Sornsakda, J., & Boonmee, S. (2016). The causal effect of technology acceptance factors on the intention to use mobile application. Journal of Administrative and Business Studies, 2(5), 216-224.
doi:https://doi.org/10.20474/jabs-2.5.1
Towler, G., & Shepherd, R. (1992). Application of Fishbein and Ajzen's expectancy-value model to understanding fat intake. Appetite, 18(1), 15-27.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
doi:https://doi.org/10.1287/mnsc.46.2.186.11926
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.