Unleashing proactive low-carbon strategies through behavioral factors in biodiversity-intensive sustainable supply chains: Mixed methodology

The aim of this research is to understand the complex and relatively understudied relationship between human and behavioral factors and low-carbon management practices from the perspective of the resource-based view (RBV). Research application is in the “biodiversity sector” and consists of a survey and multiple-case study in Brazil, the richest country globally in terms of biodiversity but a country that also faces challenges in protecting biodiversity. The research problem considers the relationship between human critical success factors and the adoption of low-carbon management practices. Quantitative analysis through structural equation modeling shows the three branches of hypothesis to be accepted—the first with a higher coefficient than the second and the second with a higher coefficient than the third. It was observed that human factors influence low-carbon product management practices the most, followed by process practices and finally logistics practices. Qualitative multiple-case study research shows that companies are at different stages of maturity in relation to low-carbon management organizational practices, ranging from the highest stage to the lowest. It was found that the intensity of the presence of human critical success factors was higher where organizations had greater adoption of low-carbon management practices.     

A particular class of continuous-time stochastic growth models

This paper generalizes to uncertaintly the neoclassical one-sector model by transforming the basic differential equation on the capital labor ratio into a “stochastic” differential equation. The capital-labor ratio and related economic variables become random variables whose probability distributions vary with time, and the paper is focused on the existence of a steady state denfined by the (probabilistic) stationarity of these variables. An application of the results is given for a specific example with a Cobb-Douglas production function and uncertainty on the saving coefficient, the labor-force rate of growth, and the capital depreciation rate.     

Responsive pricing

We study the efficiency property of responsive pricing, a scheme that proposes to increase prices as a function of the level of capacity utilization in environments where traditional allocation schemes (e.g. competitive markets, non-linear pricing) cannot be implemented in practice. We show that although responsive pricing implements allocations that are arbitrarily close to full capacity utilization (no wasted capacity and no excess demand), these allocations are not always efficient. We identify conditions under which efficiency occurs and discuss implications for the use of responsive pricing. We would like to thank seminar participants at the LSE, Venezia, Toulouse, and Copenhagen as well as Piero Gottardi, Karel Mertens, Marco Ottaviani, Markus Poschke, Karl Schlag, and Sanne Zwart for useful comments.     

Mandatory Environmental Disclosures by Companies Complying with IASs/IFRSs: The Cases of France,Germany, and the UK

This study investigates whether the adoption of a single set of accounting standards, such as IASs/IFRSs, guarantees the harmonization of accounting practices within a country and across countries, or whether differences in reporting practices persist because of dissimilarities in reporting habits and institutional settings. To this end, we investigate whether the level of environmental disclosure under IFRSs is related to the size of the reporting firm, and the strength of legal and regulatory constraints on environmental disclosures in the country where the firm is domiciled. Results indicate (1) that environmental disclosures imposed by IFRSs increase with firm size, and (2) that firms domiciled in countries with constraining environmental disclosure regulations (i.e., France and the UK) report more on environmental issues than firms domiciled in countries with weakly constraining regulations (i.e., Germany). This suggests a strong impact of national regulations on IFRS reporting. Taken as a whole, our results support the view that IFRSs are not applied consistently across firms and across countries, notably because of persistence of reporting traditions and discrepancies in national legal requirements.     

Likelihood‐Based Inference and Prediction in Spatio‐Temporal Panel Count Models for Urban Crimes

We develop a panel count model with a latent spatio‐temporal heterogeneous state process for monthly severe crimes at the census‐tract level in Pittsburgh, Pennsylvania. Our dataset combines Uniform Crime Reporting data with socio‐economic data. The likelihood is estimated by efficient importance sampling techniques for high‐dimensional spatial models. Estimation results confirm the broken‐windows hypothesis whereby less severe crimes are leading indicators for severe crimes. In addition to ML parameter estimates, we compute several other statistics of interest for law enforcement such as spatio‐temporal elasticities of severe crimes with respect to less severe crimes, out‐of‐sample forecasts, predictive distributions and validation test statistics. Copyright © 2016 John Wiley & Sons, Ltd.     

The role of the seller’s stock performance in the market reaction to divestiture announcements

Divestitures have the potential to create shareholder value. However, the extent of the market reaction should depend on the likelihood of finding more valuable uses for the divested assets or the ability on the part of the seller to eliminate negative synergies. We hypothesize that strong performers have less scope to achieve substantial improvements compared to poorly performing firms. Using the seller’s stock return in excess of the market return in the 1-year and 2-year periods preceding the divestiture announcement to expose the divesting firm’s inefficient use of its assets, we show that the market reaction to divestiture announcements is significantly higher for underperforming firms. The difference in abnormal returns can be as high as 4 %. In contrast, none of the accounting-based variables that have been used in previous studies are found to be significantly related to the announcement returns. These results suggest that the firm’s stock performance is a more useful indicator of the wealth effect associated with divestitures.     

Cognitive radio systems specific for IMT systems: Operator’s view and perspectives

Cognitive radio (CR) is still an emerging and disruptive communication technology which is expected to improve the overall efficiency of the spectrum use. It is envisaged that cognitive radio systems (CRS) could impact many aspects of communications and in particular could facilitate accommodation of the increasing amount of services and applications in wireless networks. Intensive research on CR aims at maximising the utilisation of the limited radio spectrum resource. There have been many advances in CR regarding the technology development aspects; however supplementary research on regulation, policy and market structure reforms in relation with application specific deployment is still required before any CR-based spectrum access could be implemented for specific broadband mobile applications. Indeed, mobile community is still at an early stage of understanding and development of CR capabilities and it is premature to envisage wide deployment of CRS without careful consideration of regulatory and business issues. Therefore, this paper gives a classification of CR-based network and application scenarios, and investigates the feasibility of them from a regulatory perspective at a global level (ITU-R). Main part of this paper presents the wireless network operator’s approach to CRS specific for International Mobile Telecommunications (IMT) systems and proposes the radio environment map (REM) concept as a cognitive tool that increases environmental awareness in wireless network operator’s networks. Studies, which the authors performed internally and within the framework of a collaborative European project as well as within ITU-R yield the conclusion that, at shorter term, only intra-operator based CRS maximises the possibility for CR capabilities to be implemented.     

The optimal capital structure of the firm with stable Lévy assets returns

This article builds a new structural default model under the assumption that a firm’s assets return follows a dynamics displaying jumps of both signs. In essence, we expand the work of Hilberink and Rogers (itself an extension of the Leland and Toft framework), which deals only with negative jumps. In contrast, we make use of stable Lévy processes, and we compute the values of the firm, debt and equity under this assumption. Theoretical credit spreads can also be obtained in our framework. They prove to be consistent with the empirical credit spreads observed in financial markets.      

The Difficult but Necessary Task of Developing a Specific Project Team Research Agenda

Project teams are central to organizations everywhere; however, there is a knowledge gap between project management scholars on the one hand and organizational behavior and industrial–organizational (OB/IO) scholars on the other. This gap seriously impedes the advancement of knowledge, because scholars from both fields have not leveraged each other's considerable knowledge and might be relying on outdated models and evidence to study project team phenomena, manage project teams, or develop university curricula. A call is made for interdisciplinary research projects devoted specifically to developing a research agenda on project teams.