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This chapter considers time-differentiated airport noise surcharges that occur in addition to general noise fees at an airport. In practice, an essential problem of such surcharges may consist of setting the price for a social policy goal, such as airport noise reduction, by shifting a number of critical flights away from sensitive times-of-day in the presence of an additional, competing economic policy goal in terms of fostering the network hub function and connectivity of that airport. In such a case, additional noise surcharges aim at balancing the socioeconomic noise costs against economic prosperity, to achieve a net benefit for society by inducing a particular airline scheduling behavior, such as shifting non-hub-relevant flights only. As a result, they differ from the well-known economic concepts for the internalization of externalities. We address this problem by offering a shift from an economic welfare view to a business administration perspective with the airlines as stakeholders, in order to describe the different rationales that need to be accounted for when searching for a pricing scheme that achieves one of the distinct steering effects in terms of airline scheduling behavior. In addition, we offer a tentative, generic guideline to determine the appropriate dimension of time-differentiated noise surcharges depending on the steering effect.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

When comparing and evaluating performance, decision-makers are concerned with providing a range of effective, efficient, and fair measures that can yield representative relative rankings for the units being evaluated. In this chapter, we apply three multicriteria benchmarking modeling techniques – weighted linear combination, data envelopment analysis (DEA), and ordered weighted average (OWA) – to an example dataset to provide a quantitative assessment of performance. Evaluation of the results demonstrates that each of these techniques has relative strengths and shortcomings. To take advantage of the relative strengths, and avoid some of the shortcomings that we observed, we develop and assess a promising new methodological approach, the order rated effectiveness (ORE) model. ORE uses the OWA unit ratings within a DEA optimization framework to provide an overall relative performance assessment.

Healthcare provision in Denmark reflects some of the key principles of the welfare state. By securing relatively easy and equal access for all Danish residents regardless of income via general tax financing, the Danish healthcare system has strong ethical merits. All residents are entitled to comprehensive healthcare services. The Danish healthcare system is also relatively efficient. Total healthcare expenditures – including public and private – amount to 10% of GDP, above the OECD 8.8% average but well below the costs in the other Nordic countries, Germany, Switzerland and the United Stated. Notwithstanding its merits, healthcare in Denmark shares key predicaments with other OECD countries, primarily how to improve health outcomes while containing care expenditures. All of the OECD countries aim to improve population life expectancy and health quality. Yet their ageing and increasingly obese populations are exacerbating the demands on their respective healthcare systems. This chapter examines changes in how Denmark has managed these challenges. The main argument is that the healthcare system performance on managing health outcomes and costs improved remarkably from the 1990s to the early 2020s, although outcome inequalities remain. Notable changes in the system were targeted innovations in treatment procedures and expansion of municipal rehabilitation and preventive efforts, along with strict budget controls.

This chapter presents the key results of a research project that explored managing service productivity in Sub-Saharan Africa through the lens of lived experiences of bank executives employed as ‘knowledge workers’ in the Nigerian banking sector. The study adopted a qualitative phenomenological research design. Data was gathered from 16 Nigerian top bank executives purposively selected using semi-structured face-to-face interviews. Trans Positional Cognition Approach (TPCA), a new phenomenological research method, was used to analyse the data gathered. The study data analysis yielded five themes; micromanagement practices, use of dysfunctional strategies to drive service operations, deposit mobilisation target as a productivity measure, managerial indifference to potential nescience economy issues and master-servant (power culture) strategy, which epitomises fundamental managerial approaches adopted in the sector. The study identified critical service productivity management issues grounded in reality that influence the capability and potentiality of the study knowledge workers. It also contributes the novel, ‘official knowledge worker lived experience of service productivity model’ for use by decision-makers in the banking sector. Thus, it sets an agenda for these ‘knowledge workers’ line managers’ and bank regulators in the research setting. The study extended the viable system model by applying it in this phenomenological enquiry and using it to explain/deepen our understanding of the findings that emerged. The output of this work contributes to scholarly knowledge on service productivity management from the sub-Saharan African banks’ perspective. It can be generalisable in countries with similar financial and economic characteristics like the research setting.

The purpose of this study is to offer an integrated literature review of shared services’ organizational structures by specifically focusing on centralization, specialization, control, and formalization mechanisms.

A sample consisting of 103 empirical and conceptual articles, identified in a structured literature search in Science Direct and Scopus, was analyzed. The focus was on exploring the structural dimensions of shared services in various fields: Supply Chains, Finance, Human Resource Management, and Information Technologies. Findings from the selected articles were codified alongside the structural dimensions drawn from contingency theory.

Most of the papers identified were concerned with the Human Resource function or with Accounting and Finance in the private sector. Purchasing was only mentioned in a few general articles and Marketing not represented at all, even though the literature suggests that shared services do exist in this field. This uneven distribution across fields, as well as the reality that many articles fail to make clear divisions between disciplines, is hardly conducive to identifying trends for individual disciplines, and only general trends for each dimension could be identified. Although centralization was one of the most discussed dimensions, there was no consensus as to whether shared services should be centralized or decentralized. Standardization and formalization were both found to be highly important, although a need for customization was also emphasized.

Future research should be oriented toward the structural dimensions of shared services in a broader range of fields as current findings are dominated by the Human Resource function. Another implication of our findings is that scholars could usefully test empirically the dimensions, especially those where opinions differed the most: centralization and specialization.

Earlier conceptualizations noted that the mixed shared service outcomes stem from the diversity in governance and several contingency factors. This work continues the exploration of the contingency factors and mechanisms that, through integration, allow shared services to respond to the environmental uncertainty. The value of this chapter is in examining the structures of different functional types of shared services that are reported as successful in the literature, thus offering an overview of best practices in organizing shared services.