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This article examines the mechanisms through which big data analytics capabilities (BDAC) contribute to creating sustainable value and analyzes the mediating roles that supply chain management capabilities (SCMC), as well as circular economy practices (CEP), play through their impact on sustainable performance.

Following a literature review, a serial mediation model is presented. Hypotheses regarding direct and mediating relationships are tested to determine their potential for sustainability impact and circularity. Partial least squares structural equation modeling (PLS-SEM) has been applied for causal and predictive purposes.

The results indicate that big data analytics capabilities do not have a direct positive impact on sustainable performance but influence indirectly through SCMC and CEP.

Although some authors have addressed the associations between IT business value, supply chain (SC), and sustainability, this paper provides empirical evidence related to these relationships. Additionally, this study performs novel predictive analyses.

In the present work, lean and resilient practices applied to supply chains are studied in order to evaluate their impact on the three dimensions of sustainability. Additionally, the mutual impact of lean and resilient supply chain practices is investigated. The paper aims to discuss these issues.

The aerospace sector and its supply chain are chosen, since lean and resilient practices have been proven relevant in the sector. A methodology based on Interpretive Structural Modeling approach is applied in order to identify the existing relationships between lean and resilient supply chain practices and their impact on the three different dimensions of sustainability.

The results reveal synergetic effects between lean and resilient practices. The former practices act as drivers of the latter practices. Hence, lean practices lead to direct and indirect effects in achieving supply chain sustainability.

The relationship between lean and resilient practices has been studied for the aerospace sector. Different sectors may lead to different results as the practices considered important in each sector may differ as well as the way in which each practice is implemented.

This study highlights the relationship existing between lean and resilient supply chain practices and their impact on sustainability. Additionally, several managerial implications are drawn out to help managers make better decisions.

This paper has three purposes: first, to study whether organizational learning capability (OLC) is related to human resource management (HRM) practices such as selection, development, appraisals and rewards; second, to assess to what extent the value and uniqueness of human capital is associated with OLC; and lastly, to consider the possible mediating role of human capital in the relationships between HRM practices and OLC.

This research was conducted with a sample of companies in the most innovative sectors of Spanish industry, applying the partial least squares (PLS) technique.

The results in this paper demonstrate the direct association of selection and appraisals practices and both dimensions of human capital with learning. Furthermore, developmental practices are associated with the value of human capital, and the selection and appraisal practices are related to uniqueness. Therefore, human capital is partially mediating the relationships between HRM practices and OLC.

The principal limitation of the paper comes from the cross‐sectional nature of the research, especially the dynamic character of the OLC and the absence of causality test, which requires the necessity of a longitudinal study design.

The results of this paper suggest first that a firm focused on learning needs to incorporate HRM practices such as potential‐based selection and appraisals. Second, it is also necessary to take into consideration that learning is associated with a firm's human capital of greater value and/or uniqueness. Third, the management of the value and uniqueness of human capital requires different HRM practices in each case. This will allow managers to apply appropriate HRM practices according to the type of human capital that is needed.

The results in the paper suggest a relationship between human capital and the value and uniqueness of employees' knowledge and this human capital is associated to HRM practices. A final contribution of this paper is the assumption of human capital as a mediating variable in the relationship between HRM practices and OLC.

Narrates the discussion between Juan (a corporate executive of a multinational company) and Audrey (an independent environmental consultant) when they sit next to each other on a flight. Explains, through the dialogue, some of the environmental pitfalls companies can encounter when basing operations in the USA, such as regulations relating to clean air, clean water, emissions, toxic pollutants, land use restrictions, species protection plans etc.). Makes the point that it is individuals who face civil and criminal penalties for breaking these regulations, not the company. Provides an overview of US environmental regulations and recommends that companies can avoid falling foul of the law through education, training and taking legal advice. Mentions ISO 14000 and 14001 environmental standards as a potential way forward, although they do not yet carry any weight under US law.

There is a conflation of Mexican origin with the category “undocumented immigrant” that targets and stigmatizes undocumented Mexicans – I call this Mexican illegality stigma. I assess whether Mexican illegality stigma negatively affects the psychological well-being of Mexican-origin individuals in the US, distinguishing between undocumented Mexicans and citizen Mexican Americans. I draw from the stress process model and 52 in-depth interviews – 30 with undocumented young adults from Mexico and 22 with US-born young adults of Mexican descent – to evaluate how undocumented Mexicans and citizen Mexican Americans experience Mexican illegality stigma and to determine whether it affects the psychological well-being of undocumented Mexicans in a distinct manner. I found that all respondents experienced social rejection and discrimination when they were assumed or perceived as undocumented Mexicans. While few of the US-born respondents were affected by these incidents, most undocumented young adults found these incidents stressful because they were humiliating, excluded them from valuable resources and opportunities, and forced them to incur financial burden (e.g., unfair fines), which disrupted their transition to adulthood processes such as parenthood and labor market advancement. This study found evidence that Mexican illegality stigma is a stressor and source of distress for undocumented young adults from Mexico. As opposition to undocumented immigration from Mexico intensifies, the hostile context may further strain the psychological well-being of undocumented Mexicans.

The purpose of this paper is to present a new scheme of public–private partnership (PPP) within the framework of motorways of the sea (MoS) similar to that of an equity joint venture along with a methodology for valuing risk transfers arising from options embedded in the clauses included in such agreement.

The architecture of the proposed PPP is an adaptation to the scope of a MoS of collaborative schemes commonly used in industry such as equity joint ventures. The methodology for valuing options involved making use of a valuation tree of optimal cashflows along with algorithm designs from the field of financial and real options.

The proposed structure of public–private equity joint venture (PPEJV) increases the stability of private–public collaboration as compared with standard PPPs, so as to achieve the desired modal shift. The analyzed case study shows how the methodology provides valuable numerical information for both negotiating partners and policy makers.

This study provides a quantitative tool for policy makers to redefine the role that public agents and public funds should play in a future sustainable mobility model.

The originality of the authors’ contribution to the field of PPPs in transport is triple. First, there is no precedent in the literature on PPPs of an architecture similar to that of the proposed PPEJV. Second, unlike the usual practice in the valuation of financial or real options, no prior structure is assumed for modelling the behaviour of cashflows. Third, the type of options addressed is not usual neither in the real options literature in general nor in the valuation of guarantee mechanisms included in PPPs in particular.

The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.

Long-term interest rates of small open economies (SOE) correlate strongly with the USA long-term rate. Can central banks in those countries decouple from the United States? An estimated Dynamic Stochastic General Equilibrium (DSGE) model for the UK (vis-á-vis the USA) establishes three structural empirical results: (1) Comovement arises due to nominal fluctuations, not through real rates or term premia; (2) the cause of comovement is the central bank of the SOE accommodating foreign inflation trends, rather than systematically curbing them; and (3) SOE may find themselves much more affected by changes in USA inflation trends than the United States itself. All three results are shown to be intuitive and backed by off-model evidence.