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Purpose: This chapter aims to identify the interaction of various aspects of international trade and the impact on economic integration and economic development in the European Union (EU). Foreign trade is essential for the economy of every country, especially for small, open economies, such as several EU member states. International trade characterises economic trends; it is one of the indicators of the balance of payments and reflects the macroeconomic stability in the country.

Need for study: Economic development analysis involves assessing the external balance of each country or the union of countries, such as the EU, with a focus on the analysis of international trade balance and trends, crucial for the stability of each economy and the operation of the single market and economic integration.

Research methodology: Statistical analysis of foreign trade data and the determination of mutual statistical relationships. It evaluates the trade balances of the EU member states, turnover, and international trade within the EU (intra-EU trade).

Findings: The EU’s economic integration is based on single-market principles, ensuring free international trade and a significant impact on future economic growth. Economic openness of each member state, characterised by foreign trade turnover to gross domestic product (GDP), is essential for compliance with optimal currency zone criteria. The EU’s enlargement opened the single market to Central and Eastern European countries, creating conditions for economic transformation and common future development. However, the study confirms significant differences in international trade between new member states.

Practical implications: Ensuring the development of export capacity and justify the need for export support.

This chapter discusses the challenges and opportunities of integrating big data generated by contemporary museums into data ecology and data fabrics of smart cities. First, it exposes that smart cities could enhance their global reputation, visibility and image by building on closer collaborations with museums. Second, it demonstrates that museums in the 21st century have transformed into hyper-connected cultural hubs, spreading their reach and impact beyond their immediate urban locations. Finally, this chapter discusses creative approaches to data-curation mechanisms that stress the role of museums and cultural heritage sites in supplying data for a more strategic and proactive smart city co-design and management. Specifically, this chapter offers a three-dimensional framework for integrating heritage data in the design of smart city data ecosystems, which includes such components as Data Resources, Data Republics and Data Impacts. Data Resources stresses museum collections’ data and meta-data as a strategic resource to empower creative public data-curation practices to tell meaningful stories about the city and enhance place-making. Data Republics focuses on big data generated by visitors online or on-site as a foundation for evidence-based urban research, design and management, empowering more sustainable, safe and enjoyable tourism. Data Impacts details data-driven methodologies that museums could employ to measure public sentiment and opinion to offer new human-centred indicators to understand the performance of smart cities. This chapter shares a conceptual framework for repurposing museum data within a smart city data ecology to translate the current data excess into data intelligence.

This paper aims to examine whether the instructional message used to introduce game-based learning (GBL), prior knowledge, flow and prior gaming experience have an impact on secondary students’ learning outcomes, perceived game utility and motivation to use the game.

Fifty-four 9th grades students enrolled in this quasi-experimental study. Both groups played the same game. The experimental group was told that they would be playing a game, whereas the control group was told that they would be doing an exercise. The game was designed to promote knowledge recall about familiar mathematical concepts. Prior knowledge was assessed. An immediate and a two-days delayed post-evaluated learning outcomes. Flow, prior gaming experience, perceived game utility and motivation to use the game were assessed with questionnaires after playing.

Introducing the GBL activity as a game increased immediate learning outcomes for low knowledgeable students, but these benefits did not extend to longer term. Indeed, when the GBL activity was presented as an exercise, low higher knowledgeable students obtained poorer longer-term learning outcomes than more knowledgeable ones, whereas no difference appeared when the GBL was introduced as an exercise. Prior gaming experience and the type of instructional message used to introduce a GBL activity positively influenced perceived game utility and motivation to use the game.

This study is the first to highlight that the way a GBL activity is framed affects differently low and higher knowledgeable students’ learning outcomes and influences perceived game utility and motivation to use the game.

COVID-19 has caused unprecedented disruption to health systems. There is much to be gained by capturing what was learned from changes and adaptations made by health services and systems. The Ministry of Health in New South Wales (NSW), Australia, sought to prioritise health services research (HSR) to address critical issues arising from the COVID-19 pandemic. We tested a priority setting methodology to create priorities for a specific funding opportunity and to extract generalisable lessons.

A virtual roundtable meeting of key stakeholders was held in June 2020. We used a modified Nominal Group Technique (NGT) for priority setting, with potential items (n = 35) grouped under headings. Data was analysed through a reflective deliberative process.

We engaged 89 senior policy makers, health service executives, clinicians and researchers in the roundtable. The NGT proved an efficient method with participants reaching consensus on eight priorities. Findings included strong support for learning from the rapid response to COVID-19 and addressing needs of vulnerable populations and the health workforce. Opinions differed about strategic areas investment and where learnings should be via internal evaluation rather than funded research. Three of the eight recommended priorities were included in the funding opportunity.

Coronavirus disease 2019 (COVID-19) required unprecedented change and adaptations within health systems, and rapid, applied health services research can help to create, understand and (where relevant) sustain change beyond the immediate impact of the pandemic. While final decisions may be dependent on a wider range of considerations by government, stakeholder enthusiasm for engagement in priority setting exercises may be dampened if they do not perceive their application in decision-making.

A modified nominal group technique can be used to set research priorities in constrained conditions by engaging large numbers of stakeholders in rankings and then using an online delivery of a roundtable and to reach consensus on priorities in real time. Recommended priorities for health services research can be readily generated through rapid engagement but does not guarantee their application.

Australia’s swift response to COVID-19 pandemic in 2020 was perceived as a relative success due to the rapid public health and policy response and a relatively low number of cases. This response was underpinned by systematic knowledge mobilisation including support for targeted and prioritised health services research to fill knowledge gaps.

Setting priority processes can provide rich, engaged input to support government funding decisions about HSR. A wide range of dynamic and iterative processes influence decision-making in a rapidly evolving situation in the health system response to COVID-19. It is crucial to consider how major investment decisions will support a value-based healthcare system.

The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.