Despite the rapid adoption of technology in human resource departments, there is little empirical work that examines the potential challenges of algorithmic decision-making in the recruitment process. In this paper, we take the perspective of job applicants and examine how they perceive the use of algorithms in selection and recruitment. Across four studies on Amazon Mechanical Turk, we show that people in the role of a job applicant perceive algorithm-driven recruitment processes as less fair compared to human only or algorithm-assisted (...) human processes. This effect persists regardless of whether the outcome is favorable to the applicant or not. A potential mechanism underlying algorithm resistance is the belief that algorithms will not be able to recognize their uniqueness as a candidate. Although the use of algorithms has several benefits for organizations such as improved efficiency and bias reduction, our results highlight a potential cost of using them to screen potential employees during recruitment. (shrink)

Although microfinance organizations are generally considered as inherently ethical, recent events have challenged the legitimacy of the sector. High interest rates and the excessive profitability of some market leaders have raised the question of how to define a fair profit level for social enterprise. In this article, we construct a fair profit framework based on four dimensions: profitability, social mission, pricing, and surplus distribution. We then apply this framework using an empirical sample of 496 microfinance institutions. Results indicate that satisfying (...) all four criteria is a difficult, although not impossible, task. According to our framework, 24 MFIs emerge as true double bottom line organizations. These MFIs are characterized by higher outreach to women, lower portfolio risk, and higher productivity in high-density environments such as South Asia. We argue that excessive profits can be better understood relative to pricing, the outreach of the MFI, and organizational commitment to clients in the form of reduced interest rates. (shrink)

Investors with standard monetary preferences will give a fund manager incentives to increase firm profits, which can be achieved through a share in profits via carried interest. When investors have social preferences, it is not clear which incentives the manager should receive. We explore this puzzle by applying an agency theory perspective to impact investing, a practice where investors seek both financial returns and a measurable social or environmental impact. Using an inductive, qualitative approach, we identify and describe the ethical (...) tensions and challenges faced by fund managers to structure and implement impact-based variable compensation schemes. Our results indicate that economic incentives tied to non-financial objectives are useful to alleviate goal incongruity between principals and agents during fund creation but have the potential to lead to perverse effects during the fund lifecycle, where managers may exploit subjective non-financial metrics to maximize personal wealth. We introduce the concept of impact fidelity, a conceptual equivalent of fiduciary duty, to ensure that investment decisions reflect the asset owner’s impact preferences. (shrink)