Bounded Kindness in Non-profit Online Lending: A Social Identity Theory Perspective
2020
- 144Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage144
- Abstract Views111
- Downloads33
Article Description
As a crucial factor affecting individual preference and economic decision making, social identity is a persuasive element revealing the home bias in online lending. Using the data from a non-profitable online lending platform, we explore the impact of geographical identity on lenders’ investment intention. Results show that geographical identity can promote the lender's lending behavior: borrowers and lenders from the same country or geographically close are more likely to trade. The closer the geographical distance is, the higher the financing probability is, and the higher the average financing amount is. This study shows that kindness is bounded. Notably, social identity is introduced into online lending as a theoretical lens explaining social identity recognition and home bias on the lending platform. A better understanding of home bias can provide theoretical and practical implications.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know