Remote control and maintenance outsourcing networks and its applications in supply chain management

The paper analyzes the impact of e-business technologies on maintenance management and supply chain operations. The aim of this work is to investigate the network organization level of supply chains in case of remote maintenance application and to understand how maintenance policies are coupled with information technology (IT) solutions. To this purpose two literature reviews are presented: firstly, on the supply chain and network integration, and then on the evolution of maintenance using information technology. Following this, the paper present four specific industrial case-studies of eMRO network organisation. They have been chosen as reference models from a set of practical applications and pilot tests performed by the authors in different production sectors in the last 5 years. Technology complexity environments, maintenance outsourcing level, and supply chain integration context are discussed for each case-studies with particular regards to the profitable forms of collaboration provided by the introduction of IT and the Web. This analysis work toward the development of a framework useful to: (1) classify different e-maintenance systems and understand the relationships between the different members of the network, and (2) identify the variables which can influence the introduction and development of the systems.     

Does the quality of public-sponsored training programs matter? Evidence from bidding processes data

This paper analyzes the link between training quality and labor-market outcomes. Multiple proxies for training quality are identified from bidding processes in which public and private training institutions compete for limited public funding in Peru. Information about exact dates of program enrollment is analyzed to show whether the first-come-first-served assignment rule randomized eligible individuals across courses of varying quality. Generalized propensity score (GPS) is implemented to estimate dose–response functions in the context of multiple treatments. We find that beneficiaries attending high-quality training courses show higher earnings and better job-quality characteristics than either beneficiaries attending low-quality courses or nonparticipants. The returns are particularly robust for women, making the provision of high-quality training services cost-effective. Furthermore, the most important training attribute is expenditures per trainee. Class size and infrastructure are weakly related to the expected impacts, while teacher experience, curricular activities, and market knowledge seem to bear no relationship with the expected impacts. External validity was assessed by using five cohorts of individuals over an eight-year period.     

Profit‐sharing plans and affective commitment: Does the context matter?

This article analyzes the relationship between profit‐sharing plans (PSP) and affective commitment and how it is affected by the context of the PSP application. Overall, there is a positive relationship between profit sharing and commitment that is strongest in very small firms. The efficacy of a PSP in improving employees' affective commitment appears to be greatest in firms with low job‐related employee participation. Its application in workplaces where employees enjoy high levels of participation appears to have little impact and may even result in slight declines in affective commitment. © 2009 Wiley Periodicals, Inc.     

The many shades of ‘openness’: an application of item response theory to open innovation research

This study addresses one of the most basic research questions investigated in the Open Innovation (OI) literature: how open are firms? This question has remained partially unanswered given the challenges encountered by empirical research in assessing the relevance of specific OI practices within the OI model, as well as the types of activities perceived by managers as OI benefits or concerns. To provide an answer to this question, we suggest a framework using Item Response Theory to improve over current measures of firms' openness and test it on a sample of 383 technology‐based SMEs. Our theoretical model conceives openness as an instance of how firms make decisions regarding the adoption of different OI practices based on their evaluation of OI benefits and concerns. Focusing on the relationship between firm‐level differences in terms of openness and the types of OI practices adopted by these firms, we show that significantly different levels of ‘OI maturity’ are required to broaden the scope of external partnerships and to shift from non‐pecuniary OI modes (relation‐based approaches) toward pecuniary (transaction‐based) practices. Our results have relevant implications for the OI literature and provide new managerial insight into OI adoption.     

Evaluation of drought management in irrigated areas

This paper focuses on the economic consequences of droughts for the irrigation sector. We develop a dynamic‐recursive mathematical programming farm model that assumes imperfect mobility of capital and labour as well as rational expectations about future water availability. The model is calibrated to 12 representative farms belonging to three irrigation communities of the Guadalquivir Basin (south Spain) and used to simulate the 1991–1997 period, which included 3 years of intense drought. Results indicate that the drought imposed significant costs on farmers, but show also that water managers partly exacerbated these costs by allocating excessive amounts of water to irrigators in the abundant years. The model is also used to evaluate the benefits of a perfect water supply forecast and to simulate the economic gains of a voluntary water banking scheme. Results show that the benefits resulting from the perfect forecast of water supply 1 year ahead would represent a relative gain of 5%. However, a voluntary banking system would allow farmers to increase their benefits by 32–82% depending on the supply system.     

COVID-19 and the power of indigenous,Mexican-origin farmworker families in the US Pacific Northwest

Over the last several years—in the context of US political upheaval, ongoing crises related to climate change, the COVID-19 pandemic and an economic downturn—indigenous, Mexican-origin farmworker families in Washington State have engaged more intensely in class struggle through acts of solidarity and forms of collective action, in part through independent labour unions, worker cooperatives and mutual aid. This article chronicles the labour struggles that led to a notion of class rooted in family units of production and that strengthened transnational solidarity in resistance to racist forms of exploitation in the agricultural sector. Class organization rooted in family and solidarity has allowed indigenous agricultural workers in Washington State to face COVID-19 and incidents driven by climate change, which syndemically compounded existing community health crises, from a place of power. Focusing on the experience of farmworker families in Washington State, I outline agricultural employers' exploitation of workers during this period of increased vulnerability and the strength of farmworkers' resolve to take their health and well-being into their own hands.     

Spot water markets and risk in water supply

Water availability patterns in semiarid regions are typically extremely variable. Even in basins with a highly developed infrastructure, users are subject to unreliable water supplies, incurring substantial economic losses during periods of scarcity. More flexible instruments, such as voluntary exchanges of water among users, can help users to reduce risk exposure. This article looks at the effects of spot water markets on the economic risk caused by water availability variations. Our theoretical and empirical risk analyses are based on the random profits of water users. Profit probability density functions are formally and graphically characterized for both water sellers and buyers under several possible market outcomes. We conclude from this analysis that, where water supply is stochastic, water markets unambiguously reduce both parties' risk exposure. The empirical study is conducted on an irrigation district in the Guadalquivir Valley (Southern Spain), where there is a high probability of periods of extreme water scarcity. Water demand functions for the district representative irrigators and a spatial equilibrium model are used to simulate market exchanges and equilibrium. This programming model is combined with statistical simulation techniques. We show that the profit probability distribution of a representative irrigator is modified if water exchanges are authorized, leading to risk reductions. Results also indicate that if the market were extended to several districts and users that are subject to varying hydrological risk exposure, extremely low‐profit events would be less likely to occur. In sum, we show that exchanging water in annual spot markets can reduce farmers' economic vulnerability caused by water supply variability across irrigation seasons. These results support the water policy reform carried out in Spain in 1999 to allow for voluntary water exchanges among right holders.     

Investor protection and value creation in cross‐border M&As by emerging economies

Previous research investigating cross‐border M&As (CBM&As) by emerging economies (EEs) provided contrasting evidence on the value enhancement role of investor protection rules. We conduct a new empirical study to address the issue with an accurate sample selection of bidders from more homogeneous developing countries and transactions on developed countries only. Our analysis over the 1997–2012 period on a sample of M&A deals by companies from Brazil, Russia, India, China, and South Africa (BRICS) does not provide evidence that better institutional standards in the destination country are rewarded by the local stock market. We find that foreign governance quality is not associated with positive excess stock returns around the announcement date. Rather, these returns are affected by firm‐specific and deal‐specific factors, such as the relative deal size, the listed status of the target company, and the acquirer size. Comparison with other studies on excess returns for emerging markets (including BRICs) suggests that the results could be driven at least partially by country choice.     

The ECB's New Multi-Country Model for the euro area: NMCM — Simulated with rational expectations

The model presented here is an estimated medium-scale New Multi-Country Model (NMCM) which covers the five largest euro area countries and is used for forecasting and scenario analysis at the European Central Bank. The model has a tight theoretical structure which allows for non-unitary elasticity of substitution, non-constant augmenting technical progress and heterogeneous sectors with differentiated price and income elasticities of demand across sectors. Furthermore, it has the explicit inclusion of expectations on the basis of three optimising private sector decision making units: i.e. firms, trade unions and households, where output is in the short run demand-determined and monopolistically competing firms set prices and factor demands. Labour is indivisible and monopoly-unions set wages and households make consumption/saving decisions.We assume that agents optimise under limited information where each agent knows only the parameters related to his/her optimisation problem. Therefore we estimate with GMM, which implicitly assumes limited information boundedly rational expectations. In this paper we provide some simulation results under the assumption of model-consistent rational expectations, we show that there is some heterogeneity across countries and that the reactions of the economies to shocks depend strongly on whether the shocks are pre-announced, announced and credible or unannounced and uncredible.