An improved method for managing catastrophic supply chain disruptions

This article analyzes the differences between frequent and rare risks for supply chain disruptions, and proposes a new, improved risk measurement and prioritization method to account for the characteristics of rare risks. The varying idiosyncrasies of decision makers are integrated into this method such that risk management can be brought into alignment with an individual manager's preferences. Also woven into this tapestry is the notion of detection, which is familiar to those who have applied failure modes and effects analysis (FMEA), but novel in the arena of supply chain risk management. Rare risks in the supply chain are, by their nature, unsettling: unforeseen disruptions are always present, probability estimates are imprecise, and comprehensive data collection is impossible. These difficulties are taken into account by the presented risk management framework. While the proposed ordinal scales are perhaps unsettling to many who desire greater precision, measurement methods must fit the precision that is possible. By considering rare risks along with frequent risks, managers can be better positioned to deal with the unforeseen.     

Capital Is Not Enough: Innovation in Developing Economies

Economic development and social entrepreneurship often conceive of poverty as a resource allocation problem in which a lack of capital prevents the poor from increasing their income through entrepreneurship. This allocative view, however, represents only one possible approach to conceptualizing entrepreneurial opportunity. The alternative discovery‐ and creativity‐based views place a greater emphasis on innovation which implies that superior ideas are also needed if poverty is to be reduced through firm performance. Drawing from a survey of 201 small business owners involved in a microcredit programme in Nairobi, Kenya, we find that the financial, social, human capital–performance relationships are mediated in part by innovation. Further, we find that differentiation‐related innovations lead to better firm performance than novelty‐related innovations.     

Can behavioral nudges and incentives help lower-income households build emergency savings with tax refunds? Evidence from field and survey experiments

Tax refunds are an opportunity for lower-income households to accumulate emergency savings so they have cash on hand to cover expenses when income is insufficient. Our field experiments testing different behavioral interventions to encourage refund saving via online tax filing show small effect sizes (0.12–0.14) and a low aggregate savings rate (12%) that might be increased were filers to receive financial incentives. We test a key provision of the Refund to Rainy Day Saving and Financial Security Credit Acts using a survey experiment, finding that hypothetical refund saving jumps from 16% with no financial incentive, to 71% and 80% with 25% and 50% matches, respectively, findings which are mostly insensitive to refund size. Our results suggest that public policies to provide greater financial support—including stronger income supports—will better prepare lower-income households for financial emergencies than behavioral interventions to nudge refund saving.     

Money matters: consumption variability across the income distribution

Using the Consumer Expenditure Survey, we document the level and variability of quarterly consumption across the socio-economic distribution. While the measurement of well-being is focused on income, the secular and policy discourse prioritises income-adequacy to meet family needs. This concern over income-adequacy centres on the capacity of families to predictably consume minimally acceptable levels of basic needs, and the social and economic mobility consequences of low consumption. Our results show a clear socio-economic and demographic gradient of lower consumption amid higher consumption variability for disadvantaged groups. Food, entertainment, and personal care goods and services exhibit relatively high levels of consumption variability among low-income households.     

Risk,trust, and altruism in genetic data sharing

How does concern about genetic data privacy compare with other concerns? We conduct behavioral experiments to compare risk attitudes towards sharing genetic data with a healthcare provider with risk attitudes towards sharing financial data with a money manager. Both scenarios involve identical decisions and monetary stakes, permitting us to focus on how the framing of data sharing influences attitudes. To delve deeper into individual motivations to share data, we provide treatments that study how data sharers' altruism and trust affect their decisions. Our findings (with 162 subjects) indicate that individuals are more willing to risk a loss to privacy of genetic data (for an anticipated return framed as health benefits) than they are to risk loss of financial data (for an anticipated return in financial benefits). We also find that 50%–60% of data recipients choose to protect another person's data, with no significant differences between frames.     

Real-time revenue and firm disclosure

Review of Accounting Studies - We examine firm disclosure choice when information is received on a real-time, continuous basis. We use transaction-level credit and debit card sales for a sample of...