学术论文

We analyze whether and how the perceived federal-level legal liability linked to federal judge ideology is associated with the likelihood of firms receiving going-concern modified audit opinions and analyze the differential effects on Big 4 and non–Big 4 auditors. We find that Big 4 and non–Big 4 auditors converge in their going-concern reporting decisions in circuits with more liberal judges. This convergence is caused by the greater effect of judge ideology on non–Big 4 auditors. Furthermore, we empirically examine the association between federal judge ideology and actual lawsuits against auditors and find that judge ideology has a greater impact on lawsuit likelihood for non–Big 4 auditors for the restating companies. When auditors are sued, both the payout likelihood and amount are greater in circuits with more liberal judges, with the effect being more pronounced for non–Big 4 auditors. This study provides evidence on how the perceived exposure to a gross negligence legal standard shapes auditors' going-concern reporting incentives for the two tiers of auditors in the market. It also adds to the literature on auditor litigation.

This study examines how government procurement impacts firms’ environmental disclosures and whether they have tangible effects. Using a triple-difference research design that exploits the exogenous increase in federal funding allocations to counties based on population census revisions, we find that firms with high exposure to government contracts significantly increase climate disclosure following expanded procurement opportunities. We also document that enhanced disclosure is characterized by a positive tone that emphasizes firms’ green investment and commitment to climate adaptation. The effect is more pronounced in counties with a greater increase in procurement volume and when firms have lower ex ante sustainability performance. Finally, we find firms that increase climate disclosure are more likely to earn government contracts, and they undertake real actions by reducing toxic emissions and enhancing the development of green products. Overall our results suggest government procurement promotes corporate climate responsibility by incentivizing firms to undertake climate mitigation actions.

Insurers can boost their earnings by accruing interest income from their corporate bond investments. We document that insurers have higher corporate bond investments as well as less equity and cash holdings, when their parents meet or just beat analysts’ quarterly earnings forecasts, compared to when their parents miss or comfortably beat the forecasts. The investment in corporate bonds to boost earnings is more pronounced when bond offerings provide more opportunities for accruing interest income, when the parent’s corporate governance is weaker, when the parent’s managers have more equity incentives, when insurers face more competition, when other earnings management techniques are used, or when the insurance segment is more important to the parent. Finally, insurers suspected of helping their parents meet or beat earnings benchmarks experience worse investment performance in subsequent years, presumably because, by investing more in corporate bonds, the insurers forgo investment opportunities with higher longer-term returns.

We propose a fiscal policy expectations mechanism. When bad macro news arrives (in our study, when initial jobless claims (IJC) are higher than expected), investors may expect more generous government spending and drive up aggregate stock prices through the expected cash flow channel. Using a time-series sample from January 2013 to March 2021, we find that this phenomenon emerges when newspapers mention fiscal policy more. In the cross section, firms expected to receive more government spending – through stimulus supports during COVID-19 or procurement contracts before 2020 – exhibit higher individual stock returns when bad IJC shocks arrive.

Firms with political connections to a regime with an authoritarian history face a dilemma when the regime undergoes a democratic transition. Such connections provide an essential competitive advantage when the regime is in power but become a liability when an institutional transition brings democratic change. This study theorizes that when expose a regime’s distorted policies favoring elites over others and signal a high probability of regime turnover, firms may hedge against the risks associated with their political connections by engaging in philanthropy. We further contend that this effect is stronger for firms located in regions characterized by the rise of an opposing political party or a strong civil society. We find support for our theory in Taiwan’s 2014 Sunflower Movement. Our article reveals a strategy that firms adopt to survive democratic transitions and thus contributes to research on how firms use non-market strategies to adapt to institutional changes. Our research also shows that strategic corporate social responsibility (CSR) can substitute for corporate political activity or compensate for its limitations, and it expands research on the signaling function of social movements from public to private politics.

In this paper we propose a production-cost smoothing model with Knightian uncertainty and ambiguity aversion to study the joint behavior of production, inventories, and sales. Our model can explain ten facts that previous studies find difficult to account for simultaneously including the high volatility of production relative to sales, the low ratio of inventory-investment volatility to sales volatility, the positive correlation between sales and inventory investment, and the negative correlation between the inventory-to-sales ratio and sales. Our main results extend to a model of endogenous sales. Finally, we find that the stock-out avoidance motive emerges endogenously in our model, reconciling the long debate in the inventory literature over the production-cost smoothing and stock-out avoidance models.

Data donations, where individuals are encouraged to donate their personal information, have the potential to advance medical research and help limit the spread of pandemics, among other benefits. The decision to donate data is fundamentally a privacy decision. In this research, we build on the privacy calculus, a model describing privacy risks and benefits, and examine the impact of privacy concerns on data donation decisions, highlighting the role of societal benefits in privacy decisions. Based on two randomized experiments using the general context of data donation for medical research (experiment 1) and the specific context of data donation for COVID-19 research (experiment 2), we find that individuals who are highly concerned about privacy tend to donate less data (experiments 1 and 2). This effect holds under a variety of conditions and is consistent with prevailing research. However, this effect is contingent on the privacy calculus. When implicit or explicit societal benefits are perceived, particularly in the absence of privacy controls, the association between privacy concerns and data donation decisions is less salient, highlighting the significant role that societal benefits have in privacy decisions. We discuss the theoretical, practical, social, and ethical implications of these findings.

Contemporary IT project teams engage in creative problem solving to address increasingly complex business problems, which highlights the need to promote IT project team creativity. Collaboration technologies are widely used in IT project teams, but little is known about what collaboration technology features can be used to improve IT project team creativity and the underlying influencing mechanisms. To address this important gap, the current study builds on the extended team knowledge framework to identify collaboration technology features and decodes their influencing mechanisms on IT project team creativity by drawing on the novel creative synthesis theory originating in the management literature to the IT project team context. We identify three sets of collaboration technology support features, that of awareness knowledge supports, long-term knowledge supports, and transitional knowledge supports, and posit that their use can improve IT project team creativity via facilitating the creative synthesis process which includes three sub-constructs of collective attention, similarity building, and enacting ideas. The research model is supported in general by empirical data collected through a multi-sourced survey of over 500 team members and their leaders from 62 IT project teams. Theoretical and practical implications are discussed.

Disturbances in production along with volatile demand have raised concerns over shortfalls in the global supply chain and prompted the need to build a more diversified supply chain with competitive suppliers. This research investigates the impact of disturbances on a two-tier supply chain network with asymmetric competing firms. We establish the equilibrium in a unique structure that represents the maximum set of profitable upstream supply paths achievable through competition and exhibits stability under specific conditions. We evaluate the efficiency of the supply chain configuration by a shortfall problem and solve it with an adapted pseudoflow algorithm that efficiently identifies the mismatches between shortfalls and capacity surpluses in the multitier network. The parametric analysis reveals that the disturbance loss can be significantly offset by supplier competition, although the marginal benefit of competition decreases rapidly with the number of suppliers. Furthermore, shortfalls could be magnified by network asymmetries that increase configuration inefficiency, and supply chain performance could be improved by pushing high-cost firms to cease production. Simulation results indicate that the supply chain with a moderate level of competition and a balanced configuration can be robust against disturbance and demand volatility.