The power of positivity? The influence of positive psychological capital language on crowdfunding performance

We extend the entrepreneurship literature to include positive psychological capital — an individual or organization's level of psychological resources consisting of hope, optimism, resilience, and confidence — as a salient signal in crowdfunding. We draw from the costless signaling literature to argue that positive psychological capital language usage enhances crowdfunding performance. We examine 1726 crowdfunding campaigns from Kickstarter, finding that entrepreneurs conveying positive psychological capital experience superior fundraising performance. Human capital moderates this relationship while social capital does not, suggesting that costly signals may, at times, enhance the influence of costless signals. Post hoc analyses suggest findings generalize across crowdfunding types, but not to IPOs.     

International Capital Mobility in the Presence of Unemployment Insurance

The paper develops a general–equilibrium model with layoff unemployment to examine the effect of different unemployment insurance policies on international capital mobility. Conditions are derived under which capital will flow to the high–benefit country. Incentives for international capital movements are unaffected by how the burden of financing unemployment benefits is distributed between workers and firms. It is shown that capital outflows might have positive welfare effects for workers. This contrasts with results from standard models of international factor movements.     

When does economic model type become a decisive factor in health technology appraisals? Learning from the expanding treatment options for relapsing–remitting multiple sclerosis

Objectives: Specific economic model types often become de facto standard for health technology appraisal over time. Markov and discrete event simulation (DES) models were compared to investigate the impact of innovative modeling on the cost-effectiveness of disease-modifying therapies (DMTs) in relapsing–remitting multiple sclerosis (RRMS). Fingolimod was compared to dimethyl fumarate (DMF; in highly active [HA] RRMS), alemtuzumab (in HA RRMS) and natalizumab (in rapidly evolving severe RRMS). Comparator DMTs were chosen to reflect different dosing regimens.

Materials and methods: Markov and DES models used have been published previously. Inputs were aligned in all relevant respects, with differences in the modeling of event-triggered attributes, such as relapse-related retreatment, which is inherently difficult with a memoryless Markov approach. Outcomes were compared, with and without different attributes.

Results: All results used list prices. For fingolimod and DMF, incremental cost-effectiveness ratios (ICERs) were comparable (Markov: £4206/quality-adjusted life year [QALY] gained versus DES: £3910/QALY gained). Deviations were observed when long-term adverse events (AEs) were incorporated in the DES (Markov: £25,412 saved/QALY lost, versus DES: £34,209 saved/QALY lost, fingolimod versus natalizumab; higher ICERs indicate greater cost-effectiveness). For fingolimod versus alemtuzumab, when relapse-triggered retreatment was included in the DES, large cost differences were observed (difference between incremental cost is £35,410 and QALY is 0.10).

Limitations: UK payer perspective, therefore societal approach was not considered. Resource utilization and utilities for both models were not derived from the subpopulations; as the focus is on model type, input limitations that apply to both models are less relevant.

Conclusions: Whilst no model can fully represent a disease, a DES allows an opportunity to include features excluded in a Markov structure. A DES may be more suitable for modeling in RRMS for health technology assessment purposes given the complexity of some DMTs. This analysis highlights the capabilities of different model structures to model event-triggered attributes.     

Entrepreneurial Hustle: Navigating Uncertainty and Enrolling Venture Stakeholders through Urgent and Unorthodox Action

Entrepreneurs need to act under conditions of uncertainty and resource constraints to bring new, often-unrecognizable products to market and convince an unknown set of stakeholders to support their endeavours. The type of action entrepreneurs take to navigate uncertain entrepreneurial contexts is underspecified. We analysed 48 interviews with entrepreneurs to inductively identify an action-oriented construct we labelled as entrepreneurial hustle – an entrepreneur’s urgent, unorthodox actions that are intended to be useful in addressing immediate challenges and opportunities under conditions of uncertainty. In a follow-up study, we use an experimental vignette approach to assess the impact of an entrepreneur’s hustle on venture stakeholders. Findings suggest that entrepreneurial hustle positively influences stakeholder perceptions of the entrepreneur’s leadership effectiveness and a venture’s legitimacy, mediated by perceptions of the entrepreneur’s ability-based trustworthiness. We conclude that entrepreneurial hustle is a fundamental behaviour that enables entrepreneurs to enrol new venture stakeholders and lead their entrepreneurial efforts.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Greenwash: Corporate Environmental Disclosure under Threat of Audit

We develop an economic model of “greenwash,” in which a firm strategically discloses environmental information and an activist may audit and penalize the firm for disclosing positive but not negative aspects of its environmental profile. We fully characterize the model's equilibria, and derive a variety of predictions about disclosure behavior. We rationalize conflicting results in the empirical literature, finding a nonmonotonic relationship between a firm's expected environmental performance and its environmental disclosures. Greater activist pressure deters greenwash, but induces some firms to disclose less about their environmental performance. Environmental management systems discourage firms with poor expected environmental performance from greenwashing, which may justify public policies encouraging firms to adopt them.     

Correlated equilibrium existence for infinite games with type-dependent strategies

Under study are games in which players receive private signals and then simultaneously choose actions from compact sets. Payoffs are measurable in signals and jointly continuous in actions. This paper gives a counter-example to the main step in Cotter?s [K. Cotter, Correlated equilibrium in games with type-dependent strategies, J. Econ. Theory 54 (1991) 48-69] argument for correlated equilibrium existence for this class of games, and supplies an alternative proof.