Stanley Cavell’s moral perfectionism places the task of cultivating richer self-understanding and self-expression at the center of corporate life. We show how his approach reframes business as an opportunity for moral soul-craft, achieved through the articulation of increasingly reflective inner life in organizational culture. Instead of norming constraints on business activity, perfectionism opens new possibilities for conducting commercial exchange as a form of conversation, leading to personal growth. This approach guides executives in designing businesses that foster genius and channel creativity, while giving all stakeholders a meaningful voice within a culture of trust. We first give an account of Cavellian perfectionism. Then, we explain how this underrepresented strand of moral reflection challenges and enriches, but does not supplant, prevailing ethical theories—including other versions of perfectionism. We then demonstrate the salience of Cavellian perfectionism to business ethics through examples from marketing, human resources, and executive organizational design and development.

The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.

We examine the potential for management-worker alliances when employees have substantial voting rights, and how such alliances affect the balance of power between managers and shareholders. We find that substantial employee voting rights exacerbate the manager-shareholder conflicts. Specifically, they entrench incumbent managers and allow them to pursue value-destroying acquisitions by undercutting the disciplinary influence of the corporate control market. Importantly, employee support for managers is conditional on favorable treatment of employees. Our findings are consistent with Pagano and Volpin’s theory of worker-management alliances and highlight the potential risks associated with large employee voting power.

We provide a new framework for valuing multidimensional real options where opportunities to exercise the option are generated by an exogenous Poisson process, which can be viewed as a liquidity constraint on decision times. This approach, which we call the Poisson optional stopping times (POST) method, finds the value function as a monotone sequence of lower bounds. In a case study, we demonstrate that the frequently used quasi-analytic method yields a suboptimal policy and an inaccurate value function. The proposed method is demonstrably correct, straightforward to implement, reliable in computation, and broadly applicable in analyzing multidimensional option-valuation problems.

Although venture capitalists (VCs) can choose from thousands of potential syndicate partners, many co-syndicate with small groups of preferred partners. We term these groups “VC communities.” We apply computational methods from the physical sciences to 3 decades of syndication data to identify these communities. We find that communities comprise VCs that are similar in age, connectedness, and functional style but undifferentiated in spatial location. Machine-learning tools classify communities into 3 groups roughly ordered by their age and reach. Community VC financing is associated with faster maturation and greater innovation, especially for early-stage firms without an innovation history.

In this qualitative study we examine the role of caste, class, and Dalit janitorial labor in the aftermath of floods in Chennai, India, in 2015. Drawing from a variety of sources including interviews, social media, and news coverage, we studied how Dalit (formerly known as ‘untouchable’) janitors were treated during the performance of janitorial labor for cleaning the city. Our study focuses on two theoretical premises: (a) caste-based social relations reproduce inequalities by devaluing Dalit labor as ‘dirty work’; and (b) Dalit subjectivities, labor, and sufferings including occupational hazards become invisible and ungrievable forcing Dalits to provide a counter narrative to preserve the memory of their trauma and dignity injuries. We find that the discursive construction of janitorial labor as dirty work forced Dalit janitors to work in appalling and unsafe working conditions. Janitors suffered several dignity injuries in terms of social exclusion and a lack of recognition for their efforts and accomplishments. Specifically, we examine various ways through which caste, dirty work, and dignity intersected in the narrative accounts of Dalit janitors. We also explore memory and how processes of remembering and forgetting affected the dignity claims of Dalit janitors.

We study how investor sentiment affects stock prices around the world. Relying on households’ Google search behavior, we construct a weekly measure of sentiment for 38 countries during 2004–2014. We validate the sentiment index in tests using sports outcomes and show that the sentiment measure is a contrarian predictor of country-level market returns. Furthermore, we document an important role of global sentiment in stock markets.