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This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

As the workforce is aging and becoming increasingly age diverse, successful aging at work has been proclaimed to be a desirable process and outcome, as well as a responsibility of both workers and their organizations. In this chapter, we first review, compare, and critique theoretical frameworks of successful aging developed in the gerontology and lifespan developmental literatures, including activity, disengagement, and continuity theories; Rowe and Kahn’s model; the resource approach; the model of selective optimization with compensation; the model of assimilative and accommodative coping; the motivational theory of lifespan development; socioemotional selectivity theory; and the strength and vulnerability integration model. Subsequently, we review and critically compare three conceptualizations of successful aging at work developed in the organizational literature. We conclude the chapter by outlining implications for future research on successful aging at work.

This study aimed to investigate the mechanisms of knowledge brokering and role crafting structures that promote the active engagement of older workers at work.

The respondents were workers in Japan aged 55–64 years. A two-wave panel survey was conducted. The first and second survey waves included 1,527 and 1,467 respondents, respectively.

The results showed that knowledge brokering positively influenced work engagement directly and indirectly. In the three dimensions of role crafting, cognitive and task crafting had a positive effect on work engagement.

This study focused on older workers in Japan. Therefore, it is necessary to verify whether the same effect is observed in countries other than Japan or among younger workers.

On an individual level, older workers should aim to keep acquiring new information inside and outside the organisation. On an organisational level, it is effective to increase opportunities for older workers to craft their work according to the socioemotional selectivity and selection optimisation and compensation theories.

This study reveals that knowledge brokering and cognitive crafting in role crafting have an important influence on the work engagement of older workers. Additionally, this study clarifies the impact of job crafting on older workers not only from the perspective of resource crafting to achieve person-job fit but also from the perspective of reframing perceptions through cognitive crafting in role crafting. These findings enable a clearer understanding of the relationship between role crafting and knowledge brokering, as well as the socioemotional selectivity and selection optimisation and compensation theories.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.