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The purpose of this study is to create a methodological approach for identifying priority areas for science and technology (S&T) development and its empirical application within the city of Moscow. This research uncovers a wide range of multicultural and multidisciplinary global trends that will affect the development of major cities in an era of complexity and uncertainty, including the inherent complexity of urban contexts, demographic and socioeconomic trends, as well as scientific and ecological factors.

The methodological approach is based on classic foresight instruments. Its novelty lays in the blending of qualitative and quantitative methods specially selected as the most appropriate for the identification of S&T areas in an era of complexity and uncertainty, including horizon scanning, bibliometric analysis, expert surveys and the construction of composite indexes with respect to the scope and resources of the research and the selected object for empirical application – Moscow, which is one of the world’s largest megacities. The analysis was performed for the period of 2009–2018 and expert procedures took place in 2019.

As a result, 25 global trends were identified, evaluated and discussed over the course of an expert survey and subsequent expert events. Ten priority areas of S&T development were determined, including 62 technological sub-areas within them and the most important market niches for all identified technological sub-areas, which could be useful for the world’s megacities. The results of this study are illustrated using the construction sector. Based on the conducted research and results, a list of recommendations on S&T policy measures and instruments were suggested, including the creation of the Moscow Innovation Cluster, which by the end of 2023 contained more than 6,000 projects and initiatives, selected using the findings of this investigation.

This research contributes to the existing literature and research agenda of setting priorities for S&T development and shows how it can be done for a megacity. The blended foresight methodology that was created within the study satisfies the criteria of scientific originality, is repeatable for any interested researcher, is applicable to any other city in the world and demonstrates its high efficiency in empirical application. It could be used for creating new agenda items in S&T policy, setting S&T priorities for a megacity and integrating the results into decision-making processes. This study provides recommendations on the further implementation of the designed methodology and results into a policymaking system. Moreover, the example of the Moscow Innovation Cluster, which was created based on the results of our research, demonstrates these recommendations’ practical significance in real life, which is quite valuable. The limitation of this study is that it is not devoted to urban planning issues directly or the promotion of R&D areas; it is about setting promising S&T priorities in an era of complexity and uncertainty for megacities.

The tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TME

This study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship.

The result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME.

This study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.

It has been suggested that “space and artifacts constitute systems of communication which organizations build up within themselves” (Gagliardi, 1992a, b, p. vi) and reflect the cultural life within that organization. This is a study of how the “landscape” of a public library (“Library X”), as an information retrieval system, relates to the values of the people who created it. The efforts here are geared towards understanding the physical instantiation of institutional culture and, more specifically, institutional values as they are reflected through the artifact.

Current conditions have intensified the need for health systems to engage in the difficult task of priority setting. As the search for a “magic bullet” is replaced by an appreciation for the interplay between evidence, interests, culture, and outcomes, progress in relation to these dimensions requires assessment of achievements to date and identification of areas where knowledge and practice require attention most urgently. The paper aims to discuss these issues.

An international survey was administered to experts in the area of priority setting. The survey consisted of open-ended questions focusing on notable achievements, policy and practice challenges, and areas for future research in the discipline of priority setting. It was administered online between February and March of 2015.

“Decision-making frameworks” and “Engagement” were the two most frequently mentioned notable achievements. “Priority setting in practice” and “Awareness and education” were the two most frequently mentioned policy and practical challenges. “Priority setting in practice” and “Engagement” were the two most frequently mentioned areas in need of future research.

Sampling bias toward more developed countries. Future study could use findings to create a more concise version to distribute more broadly.

Globally, these findings could be used as a platform for discussion and decision making related to policy, practice, and research in this area.

Whilst this study reaffirmed the continued importance of many longstanding themes in the priority setting literature, it is possible to also discern clear shifts in emphasis as the discipline progresses in response to new challenges.

Research and Development (R&D) plays a significant role in promoting social and economic development in cities. In urban planning practice, a lack of evidence-informed policies and misguided research efforts can undermine national and local development efforts. This research aims to outline the state of academic research in urban planning and propose a tentative urban planning research agenda in Jordan. Specifically, the study identifies emerging research areas within postgraduate urban planning research in Jordan, examines the extent to which current research activities align with national research priorities, and determines research areas of top priority for Jordanian cities.

The research employs a mixed-method approach using content analysis to analyze academic urban planning research in Jordan and the Delphi method targeting Jordanian urban planning experts to identify research areas that should be prioritized in Jordan within the next five years.

The findings indicate that while urban design and housing, neighborhoods, and community development were the dominant fields of study in postgraduate urban planning research, planning experts identified transportation and land use planning as research areas of top priority for the next five years. The results also suggest that national research priorities lack specificity and offer little guidance for researchers in complex and multifaceted scientific disciplines, such as urban planning.

This research lays the foundations for developing a comprehensive and feasible urban planning research agenda that is responsive to the diverse needs of communities and cities across Jordan. It offers three propositions to guide future knowledge production in urban planning: emphasizing research activity in priority areas, decentralizing research activities, and fostering inter/transdisciplinary research linkages. To the best of the author's knowledge, this study is the first to propose an urban planning research agenda in Jordan.

The purpose of this paper is to identify and analyze the operations strategies (OSs) adopted by six of the all seven automobile engine manufacturers in action in Brazil during the years of 2005 and 2006.

Semi-structured interviews were held with at least one of the top managers at each engine manufacturing plant to collect information about the aforementioned strategies. The questions were aimed at identifying possible changes, over a four years period, in some of the operations-related competitive priorities and decision areas.

This research revealed the strategies adopted by six of the all seven major automobile engine manufacturers installed in Brazil in 2005, enabling a discussion of relevant themes from both the theoretical and practical standpoints. Competitive priorities and decision areas form a very inter-related system and any significant change of OSs requires significant investments, effort and time.

Case studies were carried out in a specific context of the automobile market in Brazil in 2005 and 2006. Firms must treat operations as a system that changes continuously.

In dealing with operations as a system, managers should know and apply OS concepts. This is even more important at dynamic (economic) sectors/industries.

This paper describes and discusses – via qualitative research and in a comprehensive way – the OSs of two groups (established and entrant manufacturers) of firms in a relatively dynamic context in Brazil.

The potential for massive economic growth exists in Samarinda City due to the intensification of activities in built-up areas. This suggests the potential for increased urban disease in the relocation of Indonesia’s new capital city to a location adjacent to Samarinda. One of the most striking impacts is the urban heat island (UHI). The increase in this phenomenon can be addressed effectively and efficiently through the provision and arrangement of appropriate vegetation-based actions. Therefore, this study aims to identify priority areas of green open space (GOS) based on UHI levels. In addition, this study also aims to present alternative mitigation measures to reduce the risk of disasters due to UHI.

A mixed-method approach was used in this research, involving an initial land surface temperature analysis to identify the UHI class. This analysis was complemented by quantitative spatial analyses, such as scoring, overlay and intersect methods, to determine the priority level class and the typology of GOS priority. A qualitative analysis was also conducted through data triangulation or comparison methods, such as examining existing land use, GOS priority maps and spatial plan policies.

The findings show that the total UHI area in Samarinda City was 6,936.4 ha in 2019 and is divided into three classifications. In Class 1, the UHI area is very dominant, reaching 87% of the total area. Meanwhile, the main results identified two priority classes of GOS in Samarinda, namely, the medium and high categories with an area of 960.43 ha and 113.57 ha, respectively. The results also showed that there were 17 typologies associated with five alternative mitigation measures: green industry, greening parking lots, improving urban green infrastructure and buildings, urban greening and mining restoration.

Specific to assessing UHI, image data were available only in medium spatial resolution, leading to a consequence of detailed accuracy. In addition, since the determination of mitigation considered local policies, the method should be used in other locations requiring adjustments to existing regulations, specifically those related to spatial planning.

This study makes a significant contribution to the understanding of the UHI phenomenon in Indonesia, especially in the urban areas of Kalimantan Island. In addition, the study presents new insights into alternative mitigation actions to reduce the risk of UHI. Innovatively, this study introduces a typology of regions associated with appropriate alternative mitigation actions, making it an important achievement for the first time in the context of this study.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

This paper aims to assess the impact of 2008 recession (Great Recession)-led environmental turbulence on the manufacturing small and medium enterprise (SME) sector and its related competitive priorities.

A mixed methods research strategy, consisting of a survey of 104 manufacturing SMEs located in the UK, complemented by 17 in-depth interviews with senior management representatives from this survey group.

Senior managers have prompted a realignment of competitive manufacturing priorities accounting for external financial and market conditions. Differing competitive priorities post-recession are given to various areas of manufacturing decision-making, the greatest impact being on manufacturing costs. Manufacturing flexibility, performance in meeting customer deliveries and enhancing supplier selection are merited to increase priority with relatively little change for process technology, quality and environmental practices.

The sample of survey participants was relatively small, therefore prohibiting an assessment of differences in competitive priorities by sub-sectors of manufacturing SMEs. This was offset by a healthy number of informative, in-depth interviews that provided a richness of examples and insight into the shifting priorities for the sector.

Clear priorities have emerged around reducing manufacturing costs, being more flexible in manufacturing and improving outward performance relating to customers and suppliers.

This builds on established manufacturing strategy constructs and points to necessary competitive priority realignment focused on the performance areas listed above.

Developing ‘patient‐centred’ health services has become a goal in many countries but little work has been done to identify what research is needed to support the development of such services within mental health. The aim of this study was to consult all relevant stakeholder groups to establish research priorities for developing ‘patient‐centred’ mental health services in the UK. More than 1,000 stakeholders were consulted, including service users, carers and mental health professionals. The consultation identified 12 thematic areas requiring further research. These should be prioritised if services are to become more centred on the needs and aspirations of the people who use them.