2019-04-05(创建日期:2019-04-05)

帕克,克里斯

显示或告诉吗?改善剂在坦桑尼亚的移动支付领域的决策实验:当工人操作决策,该公司的全球知识和工人的特定领域的知识是相辅相成的。通常工人有最终的决定权。两个关键决策公司使在设计系统来支持这些工人是:1)指导提供什么,2)(如果有的话)提供什么样的培训。我们检查这些选择的移动支付平台?系统允许用户在发展中经济体存款、转让、使用他们的移动电话和取钱。移动货币增长迅速,但缺货率高的货币存在由于最优库存决策由简约的员工(称为代理)。与坦桑尼亚移动支付运营商合作,我们执行一个随机对照试验,4771年代理超过8周检查不同类型的指导和培训如何影响代理商的库存管理。我们发现代理人亲自训练和接收一个显式的,个性化的,每日短信推荐电子货币多少股票不太可能股票。这些代理更有可能改变他们的电子货币平衡(平衡)。 In contrast, agents trained in person but who receive summary statistics of transaction volumes or agents who are notified about the program and not offered in-person training do not experience changes in stockouts or rebalances. We observe no evidence of learning or fatigue. Agent-level heterogeneity in the treatment effects shows that the agents who handle substantially more customer deposits than withdrawals benefit most from the intervention. || When Transparency Fails: Bias and Financial Incentives in Ridesharing Platforms: Passenger discrimination in transportation systems is a well-documented phenomenon. With the advent and success of ridesharing platforms, such as Lyft, Uber and Via, there has been hope that discrimination against under-represented minorities may be reduced. However, early evidence has suggested the existance of bias in ridesharing platforms. Several platforms responded by reducing operational transparency through the removal of information about the rider's gender and race from the ride request presented to drivers. However, following this change, bias may still manifest after a request is accepted, at which point the rider's picture is displayed, through driver cancelation. Our primary research question is to what extent a rider's gender, race, and perception of support for lesbian, gay, bisexual, and transgender (LGBT) rights impact cancelation rates on ridesharing platforms. We investigate this through a large field experiment using a major ridesharing platform in North America. By manipulating rider names and profile pictures, we observe drivers' patterns of behavior in accepting and canceling rides. Our results confirm that bias at the ride request stage has been eliminated. However, at the cancelation stage, racial and LGBT biases are persistent, while biases related to gender appear to have been eliminated. We also explore whether dynamic pricing moderates (through increased pay to drivers) or exacerbates (by signaling that there are many riders, allowing drivers to be more selective) these biases. We find a moderating effect of peak pricing, with consistently lower biased behavior.

IU车间的方法

车间里的方法

社会科学研究共用

表演者
克里斯托弗·帕克博士是我们学院的助理教授商业宾夕法尼亚州立大学。