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This chapter addresses the question of what normatively binding claims can be associated with the principle of sustainability. It proposes a theoretical reading of justice that requires a new level of morality, namely a global (spatial), intergenerational (temporal) and ecological (material) extension of the scope of responsibility. This makes it plausible that responsibility for those who are distant in space and time, as well as for nature, becomes a matter of conscience. At the same time, it is shown how the binding claims resulting from the principle of sustainability can be internalised in the course of a conscience formation and how the gap between knowledge and action in questions of sustainable development can be closed by means of an emotional underpinning. Finally, it is proposed to transfer the question of conscience to spatial units and tourism through the model of ‘Destination Conscience’ and to institutionalise the idea of ‘inner commitment’ or self-commitment. One suggestion is the creation of committees that could be a collective ethical conscience for the future issues.

This paper proposes a progressive, multi-level framework for diagnosing maintenance performance: rapid performance health checks of key performance for different equipment groups and end-to-end process diagnostics to further locate potential performance issues. A question-based performance evaluation approach is introduced to support the selection and derivation of case-specific indicators based on diagnostic aspects.

The case research method is used to develop the proposed framework. The generic parts of the framework are built on existing maintenance performance measurement theories through a literature review. In the case study, empirical maintenance data of 196 emergency shutdown valves (ESDVs) are collected over a two-year period to support the development and validation of the proposed approach.

To improve processes, companies need a separate performance measurement structure. This paper suggests a hierarchical model in four layers (objective, domain, aspect and performance measurement) to facilitate the selection and derivation of indicators, which could potentially reduce management complexity and help prioritize continuous performance improvement. Examples of new indicators are derived from a case study that includes 196 ESDVs at an offshore oil and gas production plant.

Methodological approaches to deriving various performance indicators have rarely been addressed in the maintenance field. The proposed diagnostic framework provides a structured way to identify and locate process performance issues by creating indicators that can bridge generic evaluation aspects and maintenance data. The framework is highly adaptive as data availability functions are used as inputs to generate indicators instead of passively filtering out non-applicable existing indicators.

The purpose of this paper is to investigate the impact of early-stage maintenance clustering. Few researchers have previously studied early-stage maintenance clustering. Experience from product and service development has shown that early stages are critical to the development process, as most decisions are made during these stages. Similarly, most maintenance decisions are made during the early stages of maintenance development. Developing maintenance for clustering is expected to increase the potential of clustering.

A literature study and three case studies using the same data set were performed. The case studies simulate three stages of maintenance development by clustering based on the changes available at each given stage.

The study indicates an increased impact of maintenance clustering when clustering already in the first maintenance development stage. By performing clustering during the identification phase, 4.6% of the planned work hours can be saved. When clustering is done in the planning phase, 2.7% of the planned work hours can be saved. When planning is done in the scheduling phase, 2.4% of the planned work hours can be saved. The major difference in potential from the identification to the scheduling phase came from avoiding duplicate, unnecessary and erroneous work.

The findings from this study indicate a need for more studies on early-stage maintenance clustering, as few others have studied this.

In Uganda, smallholder farmers produce about 70% of the food but receive very low prices on the sales channels they use. To improve farmers' livelihoods, other innovative sales channels such as farmers' markets (FMs) have to be explored. Therefore, the study aimed to determine the potential of establishing farmers' markets in Uganda, focusing on Kampala district.

A qualitative methodology was used to understand farmers' perceptions and the factors that could influence the success of the farmers' markets. In addition, the potential of FMs has been analyzed through the components of the Localized Agri-Food System (LAFS).

The respondents had a positive perception of the farmers' markets, and farmers have an urgent need for other sales channels that could be profitable for them. Factors that could influence the success of the FMs were highlighted, including infrastructure in the marketplace, transportation and taxation by the government.

The study had a limited sample size of the farmers, and it was carried out in 3 divisions of Kampala district, an urban area; thus, the findings cannot be generalized to fit the other regions of Uganda.

The LAFS showed that the foundation for establishing FMs is available; however, it has to be strengthened through the coordination of different stakeholders that work with the farmers.