Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?

Small and medium‐sized enterprises (SMEs) adopt lean practices (LP) to reduce waste across their organisational value chain, which helps achieve sustainability. Process innovation (PI) has also been applied through cleaner production, environmental management system, ecodesign, and so on to address both customers' needs and legislations by policymakers. Although prior studies reveal the effect of sustainable practices, LP, and PI on sustainable performance separately, less is known on the integrated effect of them on sustainability performance. Moreover, studies on mediating effect of LP and PI on sustainability performance are scant. This is significant as LP and PI are considered to be the enablers for achieving sustainability performance. This research addresses this knowledge gap. The research first theorises a model integrating these four major constructs (sustainability practices, LP, PI, and sustainability performance) through hypotheses development. Subsequently, using structural equation modelling, it is tested whether each of sustainability practices, LP, and PI effect sustainability performances. Additionally, mediating effect of LP and PI between sustainability practices and performances is derived. The study uses data from 119 SMEs within manufacturing industries in the Midlands, United Kingdom. Further, a few case studies have been undertaken to validate the findings from quantitative analysis. The overall results show that although sustainability practices, LP, and PI help achieve sustainability performance of SMEs supply chain through efficiency and responsiveness respectively, the mediating effect LP is more compared with PI. Moreover, SMEs adopt LP when they are economy focused and implement PI when they are pressurised by customers and/or policymakers.     

Direct density estimation as an ill-posed inverse estimation problem

A possible definition of ill-posedness in statistical estimation is the lack of qualitative robustness. In this sense direct density estimation shares ill-posedness with the more obviously ill-posed indirect density estimation models, of which it is a special case. A general construction pattern for estimators is proposed, based on suitable preconditioning, that works for both direct and indirect density estimation. Special emphasis is on its application to the direct case, where in general it yields delta-sequence estimators. More specifically both kernel and series type estimators are included depending on the choice of preconditioning operator. In particular sinc and other flattop kernel estimators emerge in a natural way.     

On someE-optimal block designs

Summary TheE-optimality of block designs is the concern of this paper. Bounds for the smallest positive eigenvalue of theC-matrix of block designs are obtained in some general classes of connected designs with equal or unequal block sizes. Use of these bounds is made to obtainE-optimal block designs in various classes.     

Bank CEO materialism: Risk controls,culture and tail risk

We investigate how the prevalence of materialistic bank CEOs has evolved over time, and how risk management policies, non-CEO executives’ behavior and tail risk vary with CEO materialism. We document that the proportion of banks run by materialistic CEOs increased significantly from 1994 to 2004, that the strength of risk management functions is significantly lower for banks with materialistic CEOs, and that non-CEO executives in banks with materialistic CEOs insider trade more aggressively around government intervention during the financial crisis. Finally, we find that banks with materialistic CEOs have significantly more downside tail risk relative to banks with non-materialistic CEOs.     

New development: Private finance over public good? Questioning the value of impact bonds

This article contrasts the proposed benefits of social impact bonds (SIBs) with the more mixed performance of initial projects, and reviews the early literature, revealing a similar divide between initial optimism and subsequent critique. Despite this, SIBs continue to receive high-level support, while expanding their reach through controversial new ‘development’ and ‘environmental’ impact bonds. This situation deserves more scrutiny in the accounting literature.     

Groves mechanisms and communication externalities

We put forward a model of private goods with externalities. Agents derive benefit from communicating with each other. In order to communicate they need to operate on a common platform. Adopting new platforms is costly. We first provide an algorithm that determines the efficient outcome. Then we prove that no individually rational and feasible Groves mechanism exists. We provide sufficient conditions that determine when an individually rational Groves mechanism runs a deficit and we characterize the individually rational Groves mechanism that minimizes such deficit whenever it occurs. Moreover, for 2-agent economies, we single out the only feasible and symmetrical Groves mechanism that is not Pareto dominated by another strategy-proof, feasible and symmetrical mechanism.     

Who Trades Around Earnings Announcements? Evidence from TORQ Data

Abstract:  Using TORQ database we investigate the intra-day trading volume reactions to earnings announcements of five trader groups, individuals, institutions, exchange members, program traders, and specialists. The results of this study indicate that institutions are most active in the immediate aftermath of an announcement. Individual investors are slow at the beginning but accumulate heavy volume afterwards and exceed institutional trading volume. We find support for Harris and Raviv (1993) and Admati and Pfleiderer (1988) , who respectively argue that divergence of opinion about a public information and portfolio rebalancing cause surges in pre- and post-announcement trading volume. Further we find evidence of swift and aggressive trading by informed and sophisticated institutions in the immediate aftermath of the announcement, and delayed, aggressive trading volume 'overreaction' by 'slow' and 'overconfident' individual investors as documented by Barber and Odean (2000 and 2002) and Daniel et al. (1998) . NYSE specialists provide the bulk of the liquidity needs around earnings announcements.     

Access to Financing as a Barrier to Trade: Evidence From Mauritius

Access to credit is essential for the development and growth of firms. For a small open economy like Mauritius, the ability of firms to enter export markets is essential for their growth and development, given that the size of the local market is quite limited. To increase sales and profitability, firms have to export. However, there are several costs that are involved when firms enter an export market. In many cases, finance becomes an essential factor that influences firms’ ability to export. These authors investigate whether the main constraint that firms in Mauritius face is access to finance and try to understand how firms overcome financial barriers. Given the limitations of existing methods to estimate financing constraints directly from firm-level accounting data, the results based on survey data are an important contribution in improving understanding of firms’ financing obstacles to exporting and how they overcome these barriers.     

Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model

In this paper, we study the impact of customer stochasticity on firm price discrimination strategies. We develop a new model termed the Bayesian Mixture Scale Heterogeneity (BMSH) model that incorporates both parameter heterogeneity and customer stochasticity using a mixture model approach, and demonstrate model identification using extensive simulations. We estimate the model on yogurt scanner data and find that compared to the benchmark mixed logit and multinomial probit models, our model shows that markets are less price elastic, and that a majority of customers exhibit stochasticity in purchases; our model also obtains better prediction and more profitable targeting strategies.     

Circular economy to enhance sustainability of small and medium‐sized enterprises

The circular economy (CE) represents a major paradigm shift of moving from the concepts of linear to circular supply chains across multiple industries. Although some aspects of CE adoption within industrial supply chains have been researched extensively (particularly addressing challenges of design, implementation, and operations), the research that relates CE practices with sustainability performance to reveal the current state of CE practices within small and medium‐sized enterprises (SMEs) is scant. The aim of this research was to facilitate SMEs to achieve greater sustainability through CE implementation. This research addresses three research questions—How are CE fields of action related to sustainability performance? What are the issues, challenges, and opportunities of adopting CE in SMEs? And what key strategies, resources, and competences facilitate effective implementation of CE in SMEs? This study adopts a mixed method approach (qualitative and quantitative) using survey research, focus group, and case studies; 130 randomly selected SMEs within the Midlands of the United Kingdom have been surveyed, and the responses are analysed using statistical tools along with findings from focus groups and case studies. The study reveals that all CE fields of action (take, make, distribute, use, and recover) of SMEs are correlated to economic performance, but only make and use are related to environmental and social performance. The study further derives strategies, resources, and competences for achieving sustainability across all the CE field of actions. Additionally, this research reveals the issues and challenges, strategies, resources, and competences required for implementing CE in SMEs.