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Mindfulness is a well-studied phenomenon in many disciplines. Little is known about its impacts on employees at work. The purpose of this paper is to focus on mindfulness at work, defined as a psychological state in which employees intentionally pay full attention to the present moment while executing job tasks. The research model, grounded in conservation of resources theory, depicts how mindfulness at work may help employees develop resources (work-family balance and job engagement) which may be associated with greater well-being (less psychological distress and more job satisfaction) and organizational attitudes (intent to turnover and affective commitment).

Using a sample of 503 full time employees, the authors test the model with structural equation modeling.

Results supported the full research model, suggesting that mindfulness at work is an important antecedent to resource accrual, well-being, and organizational attitudes. Mindfulness at work exerted direct and indirect effects on turnover intentions and affective commitment.

The inclusion of job engagement as a mediator provides an interesting counterpoint and extension of prior studies suggesting that job engagement negates the effects of mindfulness on turnover intentions (Dane, 2014).

The research suggests that mindfulness at work is highly trainable and may enhance a variety of career outcomes.

This study extends emerging literature on mindfulness at work by offering a new scale grounded in established theory and the practice of mindfulness.

The authors examine a boundary management tactic for managing the work–family interface: putting family first (PFF). PFF is a boundary management tactic defined as the voluntary behavior of intentionally putting family obligations ahead of work obligations in a way that violates organizational norms

In Study 1, The authors develop a theoretically derived measure of PFF and distinguish it theoretically and empirically from similar existing constructs, examining convergent and discriminate validity to demonstrate its uniqueness. In Study 2, the authors demonstrate PFF's predictive validity beyond the job incumbent using a three-way matched sample of 226 individuals, including the job incumbent's coworker and spouse.

The authors established and validated a measure of PFF, developing and replicating the nomological network. PFF crossed over to positively relate to coworker role overload, job frustration and work–family conflict and to spousal stress transmission and relationship tension. Similarly, PFF related negatively to spousal family satisfaction and organizational commitment.

The authors extend the work–family and boundary management literatures by proposing a new form of boundary management, PFF, which is a tactic for managing the work–family interface, and explore how its use influences not only the job incumbent but also the coworker and the spouse.

The purpose of this paper is to examine the role of four impression management (IM) tactics as mediators to help job incumbents manage the impressions others have regarding the spillover of the incumbent’s family domain onto the work domain.

The authors examined the data from 296 matched job incumbents and coworkers. The authors tested a structural equation model and alternative models to find the best fit and subsequently tested both direct and indirect effects.

The authors found that family-to-work conflict related to job-focused and supervisor-focused IM behaviors, and family-to-work enrichment related to self-focused, coworker-focused and supervisor-focused IM behaviors. Supervisor-focused IM served as a mediator to the job incumbent’s attitude (job satisfaction) while job-focused, self-focused and coworker-focused IM served as mediators to the job incumbent’s behavior (job performance).

The research is important in that just as employees do not “leave work at the office,” they also do not “leave family at home.” Instead, experiences in the two domains affect one another in ways that are beneficial and harmful. Understanding the role that IM plays in this process adds insight into the spillover of family onto work.

The authors extend both the work-family and IM literatures by looking at potential family domain antecedents to engaging in IM behaviors and their impact on work life.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

Energy and environmental concerns have gained a significant role in public policy agenda as well as in energy economics literature. As policies often rely on imprecise information on data and goals, fuzzy goal programming (FGP) modeling is a relevant choice to evaluate multi-criteria sustainability. This technique is suitable for the analysis of the Europe 2020 strategy plan dealing with several possibly conflicting objectives in economy, environment, energy and employment. The paper aims to discuss these issues.

The paper presents a FGP model for sustainable implementations for all European Union (EU) countries with respect to Europe 2020 policy goals and provides insights for decision makers to better satisfy conflicting criteria by suggesting optimal allocations of workers in several economic sectors.

The analysis shows an overall great performance of European Union countries in the environmental and social criteria and outlines the needs for significant additional policy measures to reduce energy consumption while increasing the economic output. Comparing the performance of countries within the European Union between those who adopted the euro and those who maintained national currencies shows that Euro countries tend to perform worse in terms of Europe 2020 sustainability, opening opportunities for further research to better investigate on the causes and determinants of these differences.

The paper presents a conceptual model of sustainable development that improves understanding of the concept and reconciles highly competing policy objectives in a common framework. Applying this model to all European Union countries offers both comparison and policy recommendations at a large new scale.

Most countries face important economic, social and environmental challenges and are strongly committed to invest in research and development (R&D) activities to help support the long-run economic sustainable growth. This paper aims to extend the previous research on macro-economic growth models and introduces endogenous variables to determine the amount of investments in R&D activities.

The model considers four different criteria and six economic sectors and aims at finding the optimal allocation of labor across different sectors. The model also endogenously determines the amount of investments in pollution abatement activities together with energy-related R&D efforts. The paper presents an application to the case of Kazakhstan, an emerging Asian country, that aims to become one of the top 30 most developed countries in the world by 2050.

The model shows the limits of the Kazakh agenda that identified too ambitious goals as the country has to go through a sociotechnical transition that involves a range of modifications in institutional structures, together with changes in user practices and the technological dimension. Kazakhstan should invest more in R&D activities able to develop sustainable energy sources to face the current electricity consumption demand and to reduce the greenhouse gas emission in the future.

The paper provides valuable knowledge for researchers and policy makers interested in the impact of R&D on the long-run economic sustainable growth.