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The purpose of this study is to describe an educational virtual reality (VR) photo-based tour used in an online course and investigate the influence of immersive capability on the dimensions of spatial presence and their relationship with learning-related variables.

The study employs a descriptive and an experimental methodological approach. The research objectives were achieved using a two-group (n1 = 29 and n2 = 30) experiment, employing descriptive statistics, t-test and correlation analysis.

The t-test revealed that the immersive capability had a significant effect on the sense of physical space (SP) , Engagement (EN) and negative effects (NE) dimensions. Correlations between the dimensions of spatial presence were found to confirm reports from the literature. Furthermore, some of the dimensions were found to be correlated with motivational and learning variables.

The study reported the results of a one-off experiment among 59 participants. While the results were promising, a longitudinal qualitative study could confirm the results in an actual distance learning context.

The study confirmed that adding VR photo-based tours as learning activities may enhance the learning experience of distance learners.

The study shared a case of a learning activity that can be employed for flexible education. Virtual tours can support the need for context-based learning that the geographical or political constraints may limit.

While the paper confirms previous reports on the benefits of using VR photo-based tours as learning activities, this paper has empirically shown the relationship between the dimensions of spatial presence and immersive capability in this specialized context.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Considering the empowered customer interacting with technology‐based self‐services, temporal and spatial access can be argued to influence service delivery. However, service management models have not considered the value of the service delivery at various locations and time frames not controlled by the service provider. Consequently, by arguing that time and location are explicit value dimensions, this paper investigates the importance of time and location and contrasts them to traditional value dimensions. A conceptual model of customer perceived value is proposed and empirically investigated. By linking value and quality models, customer perceived value is conceptualized as a function of benefit and sacrifice of technical, functional, temporal and spatial value dimensions. The empirical findings indicate that time and location are perceived as important value dimensions and that they are even more important dimensions than outcome and process elements. Theoretical and practical implications of the findings are discussed.

Building on Kavaratzis and Hatch’s (2013) identity-based place branding model, this paper aims to explore the spatial and social dimensions of the place brand identity formation process and how residents used social media to participate in the process of shaping a city brand during a crisis.

Adopting an interpretive and social constructionist approach, this study analyses a sample of 187 short videos created and posted by Wuhan residents on the social media app Douyin during a COVID-19 lockdown. The authors read the videos as cultural texts and analysed underlying social processes in the construction of place brand identity by residents.

This study develops an adapted conceptual model of place identity formation unfolding in four sub-processes: expressing, impressing, mirroring and reflecting, and each sub-process subsumes two dimensions: the social and the spatial. In addition, this study empirically describes how residents participated in place branding processes in two ways, namely, their construction of city brand identity via communicative practice and their exertion of changes to a city brand during a crisis. The model reveals how place brands emerge and can be transformed.

This paper amplifies Kavaratzis and Hatch's (2013) identity-based place branding model by testing it in an empirical study and highlighting the social and spatial dimensions. This paper contributes to research about participatory place branding by exploring how residents participated in the place branding process. This study analysed short videos on social media, a new communication format, rather than textual narratives dominating past studies.

The authors provide a way to represent spatial and temporal equilibria in terms of error correction models in a panel setting. This requires potentially two different processes for spatial or network dynamics, both of which can be expressed in terms of spatial weights matrices. The first captures strong cross-sectional dependence, so that a spatial difference, suitably defined, is weakly cross-section dependent (granular) but can be non-stationary. The second is a conventional weights matrix that captures short-run spatio-temporal dynamics as stationary and granular processes. In large samples, cross-section averages serve the first purpose and the authors propose the mean group, common correlated effects estimator together with multiple testing of cross-correlations to provide the short-run spatial weights. The authors apply this model to the 324 local authorities of England, and show that our approach is useful for modeling weak and strong cross-section dependence, together with partial adjustments to two long-run equilibrium relationships and short-run spatio-temporal dynamics. This exercise provides new insights on the (spatial) long-run relationship between house prices and income in the UK.

Climate change requires the reduction of direct and indirect greenhouse gas (GHG) emissions, a task that seems to clash with increasing supply chain complexity. This study aims to analyse the upstream supply chain complexity dimensions suggesting the importance of understanding the information processing that these may entail. Reducing equivocality can be an issue in some dimensions, requiring the introduction of written guidelines to moderate the effects of supply chain complexity dimensions on GHG emissions at the firm and supply chain level.

A three-year panel data was built with information obtained from Bloomberg, Trucost and Compustat. Hypotheses were tested using random effect regressions with robust standard errors on a sample of 394 SP500 companies, addressing endogeneity through the control function approach.

Horizontal complexity reduces GHG emissions at the firm level, whereas vertical and spatial complexity dimensions increase GHG emissions at the firm and supply chain level. Although the introduction of written guidelines neutralises the negative effects of vertical complexity on firm and supply chain GHG emissions, it is not sufficient in the presence of spatial complexity.

This paper offers novel insights by suggesting that managers need to reconcile the potential trade-off effects on GHG emissions that horizontally complex supply chain structures can present. Their priority in vertically and spatially complex supply chain structures should be to reduce equivocality.

The purpose of this paper is to advance the comprehension of the role that geographic proximity plays in relation to non-spatial proximity in the context of international university-industry knowledge transfer.

The paper is designed as a multiple-case study. It looks at selected instances of contract research at Tallinn University of Technology that represents a typical technical university in Central and Eastern Europe characterised by relatively short period of market economy and university-industry cooperation.

The results indicate that there emerge different configurations of proximity nationally and internationally. In case of domestic cooperation cognitive (education), organisational, social and institutional (institutional setting) proximity exist simultaneously with geographic proximity. International cooperation is characterised by lack of geographical proximity, but the existence of cognitive and social proximity indicating a substitution.

The research is limited to analysing instances of contract research and relations between spatial and non-spatial forms of proximity. Further research could consider the differences between various channels of knowledge transfer and address the relationship between non-spatial forms of proximity.

The paper contributes to the existing body of knowledge by using proximity dimensions operationalised at aggregate and individual levels to study the university knowledge network. It is proposed in this paper that attention has to be paid to distinguishing between organisational and individual levels of analysis and their differing results. Proximity at organisational level does not necessarily translate into proximity between individuals and vice versa.

This study aims to analyze the relevance of the city spatial structure for smart city innovation from the perspective of agglomeration externalities, and discusses whether there is heterogeneity in innovation across different geographical areas and population scales of cities.

The authors construct the centralization and concentration indexes to conceptualize the city spatial structure of 286 cities (prefecture-level) in China based on the LandScan Global Population Dataset from 2001 to 2016. A fixed-effects panel data model is employed to analyze the relationship between the spatial structure and the innovation ability of smart cities; the results were validated through robustness tests and heterogeneity analyses.

The study found that the more concentrated and more evenly the distribution of urban population, namely the more city spatial structure tends to be weak-monocentricity, the higher the level of innovation in smart cities. The relevance of the weak-monocentricity structure and smart city innovation varies significantly depending on their geographical location and the size of the city. This result is more applicable to cities in the eastern and central regions, as well as to cities with smaller populations.

The adjustment and optimization of the city spatial structure is important for enhancing smart city construction. Unlike previous studies, which mostly use a single dimension of “the proportion of population in sub-centres to the population of all central areas” to measure city spatial structure, the authors employed the spatial centralization and spatial concentration. It is hoped that this study can guide smart city construction from the perspective of the development model of city spatial structure.

The purpose of this paper is to investigate how visual aesthetic referents used in branding can help foster a transnational imagined community (TIC). The authors use brands embedded with Middle Eastern visual aesthetics as a research context. As such, the study aims to examine how Middle Eastern non-figurative art is used by non-Middle Eastern brands to foster an imagined Middle Easternness.

Through a critical visual analysis, the authors apply a visual social semiotic approach to Middle Eastern art canons to better understand the dimensions of transnational imagined communities.

The study finds and discusses six sub-dimensions of Middle Easternness, which compose two overarching dimensions of TIC, namely, temporal and spatial. These sub-dimensions provide brand managers and designers with six different ways to foster transnational imagined communities through the use of visual aesthetic referents in branding.

This research identifies the specific visual sub-dimensions of brands that enable transnational communities to be imagined.

Understanding the visual aesthetic sub-dimensions in this study provides brand managers with practical tools that can help develop referents that foster transnational imagined communities in brand building to achieve competitive advantage and reach a transnational segment.

Prior studies have primarily focussed on how visual aesthetics help in understanding issues related to national identity. In contrast, this paper examines the use of visual aesthetics in branding from a transnational perspective.

This article aims to discuss the binary matrix of spatial association which is suggested by Moran, and proposes a new method of the definition of the w matrix to obtain a new space‐time correlation coefficient considering the correlation of both time and space.

From the perspective of the multi‐dimension of space and time, this article proposes a new computational method of a correlation coefficient considering both temporal and spatial factors, based on the analysis of the characteristics of Moran's Global Index and Moran's Local Index. The number of patents granted in mainland China's provinces and municipalities is taken as an example of multi‐dimensional analysis.

The results of quantitative analysis using this space‐time correlation coefficient show that the outcomes calculated by this new correlation coefficient are not only highly correlated with Moran's Index, but also have advantages in analyzing the trends of both spatial and temporal indicators simultaneously, which is verified by the illustration of the algorithm.

Due to a scarcity of data in China, the algorithm is based on data for the last 20 years, which may not be long enough for this research. Although this does not reduce the value of the conclusions of this article, a closer look should be taken at the effectiveness of the new space‐time correlation coefficient in the future.

The results of space‐time correlation coefficient are highly correlated with Moran's Index. In addition, it can not only analyze the “flow” indicators in a certain period but also analyze the “stock” indicators to reflect both space and time changes. These may reflect superiority of space‐time correlation coefficient to Moran's Index.

This new correlation coefficient that considers both temporal and spatial factors and will provide a more scientific and effective tool for spatial econometric analysis in time and space changes of management on society and the economy.