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Geographic periphery regions are the focus of sustainable regional development research, with ongoing discussions on core–periphery relationships to address economic disadvantage and remoteness. However, periphery regions face challenges due to the high efficiency of core regions. Tourism provides an alternative economic landscape, revitalizing stagnant sectors and driving strategic exploration. The Sino-Russian border, spanning 4,209 km, represents a periphery where tourism plays a vital role. This chapter views Sino-Russian cross-border tourism through the lens of the core–periphery model, suggests two conceptual models of developing experiential cores in the cross-border areas of geographic peripheries, and argues for peripheries' potential to become sustainable experiential cores post COVID-19.

What’s the flow path of knowledge sharing among members in online health community (OHC)? Exploration of this issue could shed light on mechanisms behind user knowledge sharing and interaction on OHC, but few studies have focused on it. This study is going to address this research gap and to provide richer support for subsequent knowledge management related research.

Based on the core-periphery effect, this study combines content analysis and social network analysis to portray the paths of different types of social support for core and periphery users from social support perspective.

Results reveal that the core users follow a pattern of high-stage and low-stage users with distinct needs, while the path pattern of the edge user group mainly consists support from high-stage to low-stage users. Results show that there is apparent distinction between the paths of emotional and informational support between core and periphery users. For core users, emotional support flows from lower stage users to higher stage users, while informational support follows the opposite direction. For periphery users, the paths of emotional support and informational support are identical, with both flowing from higher stage users to lower stage users.

This study explores the flow paths of information support and emotional support for core and periphery users, and discovers the different patterns of these two types of users, providing theoretical guidance for platform administrators to manage users more efficiently and ensure the sustainable development of the platform.

A primary urban destination can be accessed through its regional periphery. Thus, while a city centre may be the primary attraction, by approaching it from and through the periphery, suburbs can become part of the place and marginalised people as part of the destination from a more holistic perspective. Tourists who are more attuned to the various layers of the transformation of a destination may be more attentive visitors and might empathise and engage with the lives and survival of others when given an opportunity to reflect on other elements of the destination beyond the central area. As part of a field trip to Rome, the Chair of Tourism of the Catholic University Eichstätt-Ingolstadt explored the inequalities at the periphery of Rome as a destination with undergraduate students from the Faculty of Mathematics and Geography. The results show that a holistic impression and deep understanding of a destination can only be gained by visiting both: its centre and its periphery. Moreover, the centre and periphery of a destination can then be compared in terms of, for example, poor or rich, well kept or unkempt, or native or migrant. However, these comparisons should not be used to look at poverty or similar factors, but to develop an awareness of differences and to look behind the typical tourist zones of a destination. In this case, we suggest that tourist routes can be key in providing a more holistic experience in an historic city.

Autonomous and connected mobility technologies have led to a reconfiguration of the automotive industry value chain. This may involve an impact on the geography of the European automotive industry, especially for peripheral countries. The aim of the paper is to analyse the repositioning of a peripheral country (Portugal) in the core-periphery model of the automotive industry derived from this new technological context.

An eclectic theoretical framework, based on the global value chain (GVC) approach, the spatial division of labour and location theory, supports this research. Moreover, an original empirical study was developed. This study comprised a comparative analysis of two samples of firms based on the key variables related to country position. One sample comprised Portuguese traditional automotive firms and the other Portuguese firms linked to autonomous and connected mobility technologies.

The results highlight the upgrading of Portugal in the European core-periphery model of the automotive industry. This is due to the presence of domestic firms, especially multinationals, linked to autonomous and connected mobility technologies in the country. The decision power derived from their position on the first levels of supply and the added value of activities and technological innovation of these new actors change the role of the country in the European automotive industry. The main implication is that managers of domestic firms and policy makers in peripheral countries can upgrade a country’s position in the European core-periphery model by shifting its competitiveness toward knowledge-based activities linked to the new mobility technologies.

This research is supported by a novel eclectic theoretical framework based on the global value chain (GVC) approach, the spatial division of labour and location theory. Moreover, country position is analysed through empirical evidence. An original comparative empirical study based on the key variables defined under this theoretical framework was developed.

Our understanding of the strategies that lead to the success of start-ups when they scale-up is limited when it occurs at the regional periphery. The main purpose of this study is to explore the specific strategies that start-ups employ to scale-up, specifically in contexts with high resource constraints at the regional periphery.

Analyzing the data from personal in-depth interviews with engineering and science start-up founders in peripheral regions of upstate New York USA bordering the Canadian Ontario, we explored a combination of internal and external strategies that start-ups employed to scale-up.

The study found that start-ups prioritize building internal scaling capacity in their human capital, organizational structure, scalable business model, finance and business ownership. To foster the scaling process further, start-ups develop new effective external strategies that target the business environment.

Policymakers and regional governments can use our research to develop more effective industrial policies for supporting start-ups’ growth and subsiding strategic industry clusters for rebooting new competition policy, which is a current debate in many industrialized economies including the US. This targeted regional industrial policy is specially needed when scaling-up at the regional periphery.

Our study is specially need it when scaling-up at the regional periphery and with limited resources.

This study enriches our understanding of the growth of start-ups and small ventures by providing context-based insights into how firms build the capacity to scale-up in highly challenging and uncertain business environments in a peripheral bordering region between the USA and Canada. It also offers useful managerial and policy implications.

It is unclear whether regional rather than global or discipline-focussed preprint platforms as an innovation in the communication of science are removing any of the barriers faced by researchers in the scientific periphery or whether they are increasing access to and visibility of science from the periphery. In response, this paper focusses on the uptake, visibility and academic impact of regional preprint publishing platforms in two peripheral regions (Africa and Latin America) to gain insights into the use and possible impact of regional preprint servers.

Comparative quantitative analysis using bibliometric and altmetric data to compare six preprint servers (two regional, one global and three discipline-specific).

There is evidence of the uptake of regional preprint servers, but the uptake is comparatively modest compared with global and discipline-focussed preprint servers. The academic and social visibility of preprints available on regional preprint servers is comparatively lower when compared to other preprint servers. The preprint server SciELO preprint in comparison to AfricArxiv shows signs of increasing growth and visibility, but more time is required to reach any definitive conclusions.

The research is limited by the short timeframe that the regional preprint servers have existed compared to some of the other preprint servers. The absence of reliable data on the research populations by region or globally by discipline places limits on the comparability of the raw data.

The article provides for the first time a detailed empirical analysis of the contribution of preprint servers targeted at researchers from the scientific periphery to global science.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0153

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide opportunities for transforming the manufacturing industry from traditional manufacturing to intelligent manufacturing. However, little research currently focuses on analyzing the influencing factors of intelligent development in this field. There is a lack of research from the perspective of the digital innovation ecosystem to explore the intrinsic mechanism that drives intelligent development. Therefore, this article starts with high-end equipment manufacturing enterprises as the research subject to explore how their digital innovation ecosystem promotes the effectiveness of enterprise intelligent development, providing theoretical support and policy guidance for enterprises to achieve intelligent development at the current stage.

This article constructs a logical framework for the digital innovation ecosystem using a “three-layer core-periphery” structure, collects data using crawling for subsequent indicator measurement and assessment and uses the fuzzy set Qualitative Comparative Analysis method (fsQCA) to explore how the various components of the digital innovation ecosystem in high-end equipment manufacturing enterprises work together to promote the development of enterprise intelligently.

This article finds that the various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises, through mutual coordination, can help improve the level of enterprise intelligence. Empirical analysis shows four specific configuration implementation paths for the digital innovation ecosystem of high-end equipment manufacturing enterprises to promote intelligent development. The core conditions and their combinations that affect the intelligent development of enterprises differ in each configuration path.

Firstly, this article discusses the practical problems of intelligent transformation and development in the manufacturing industry and focuses on the intelligent development effectiveness of various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises in the context of digitalization. Secondly, this article uses crawling, text sentiment analysis and other methods to creatively collect relevant data to overcome the research dilemma of being limited to theoretical analysis due to the difficulty in obtaining data in this field. At the same time, based on the characteristics of high-end equipment manufacturing enterprises, the “three-layer core-periphery” digital innovation ecosystem framework constructed in this article helps to gain a deep understanding of the development characteristics of the industry's enterprises, provides specific indicator analysis for their intelligent development, opening the “black box” of intelligent development in the industry's enterprises and bridging the gap between theory and practice. Finally, this study uses the fsQCA research method of configuration analysis to explore the complexity of the antecedents and investigate the combined effects of multiple factors on intelligent development, providing new perspectives and rich research results for relevant literature on the intelligent development of high-end equipment manufacturing enterprises.

In this study the authors aim to comprehensively investigate the determinants of voting behavior in Turkey, with a specific focus on the dynamics of the center-periphery debate. Mainly, the authors focus on regional voting patterns during the period that is dominated by the Justice and Development Party (JDP/AKP) in the elections. The authors apply the random effects generalized least squares (GLS) methodology, and analyze electoral data covering four pivotal parliamentary elections (2007, 2011, 2015 and 2018) across all 81 provinces (NUTS III regions). The authors individually examine voting dynamics of the four major parties in parliament: the JDP/AKP, the Republican People's Party (RPP/CHP), the Nationalist Movement Party (NMP/MHP) and the Peoples' Democratic Party (PDP/HDP). The authors contribute to a comprehensive understanding of how socioeconomic cleavages, economic performance, party alignment and social dynamics shape voter preferences in the Turkish context, thereby addressing gaps in the existing literature.

This research employs an ecological study of Turkish NUTS III sub-regions, covering national elections from 2007 to 2018. The authors utilize the random effects GLS method to account for heteroscedasticity and time effects. The inclusion of the June and November 2015 elections enables a comprehensive analysis of the evolving dynamics in Turkish voting behavior. The results remain robust when applying pooled OLS and fixed effect OLS techniques for control.

The study's findings reveal that economic performance, specifically economic growth, plays a pivotal role in the sustained dominance of the JDP/AKP party. Voters closely associate JDP preference with economic growth, resulting in higher voting shares during periods of economic prosperity. Along with economic growth; share of agriculture in regions' GDP, female illiteracy rate, old population rate, net domestic migration, terrorism and party alignment are also influential factors in the Turkish case. Furthermore, differences among sociocultural groups, and East–West dichotomy seem to be important factors that reveal the impact of social cleavages to understand electoral choice in Turkey.

This study contributes to the existing literature by offering a comprehensive multidimensional analysis of electoral behavior in Turkey, focusing on the JDP/AKP dominance period. The main contribution of this study is its multidimensional perspective on the power bases of all main parties, considering key voter choice theories (cleavages, party alignment and retrospective economic performance voting) that have not been systematically analyzed in prior research. The main research question of this study is to examine which factors affect voting behavior in Turkey and how the dynamics of center-periphery or eastern-western region voting behavior under the JDP hegemony can be explained. The contribution of this study consists not only in its empirical testing of panel data approaches but also in its comprehensive analysis of four major political parties. Building upon existing studies in the literature, this research seeks to extend the understanding of voting dynamics for the four main parties in the parliament — JDP/AKP, RPP/CHP, NMP/MHP and PPDP/HDP — by delving into their dynamics individually, thereby expanding the scope of previous studies. This study aims to make a contribution by not only empirically testing panel data approaches but also conducting a comprehensive analysis of four major political parties. Furthermore, the separate inclusion of the 2015 elections and utilization of a panel data approach enrich the analysis by capturing the evolving dynamics of Turkish voting behavior. The study underscores the significance of socioeconomic factors, economic performance and social cleavages for voters' choices within the context of a dominant party rule.

The purpose of this study is to discuss how ethnicity and gender influence high-tech entrepreneurship in the Cambridge cluster emphasizing homophily and how and why bridging and bonding ties are created in moving individuals from the periphery to cross the threshold into acceptance.

The authors present findings on the micro-dynamics of ethnicity and gender in high-tech entrepreneurship underpinned by homophily. The authors discuss how ethnicity and gender influence who enters and stays in high-tech entrepreneurship university spinouts. Through an entrepreneurial narrative qualitative approach, the authors explore how and why bridging and bonding ties may be created and the challenges for those at the periphery to cross the threshold into acceptance. The study adopts an entrepreneurial narrative qualitative approach using interviews with individuals associated with the Cambridge cluster.

The authors add to the entrepreneurship literature by responding to the call for multiplexity within homophily, and the research indicates that homophily strongly influences who enters and who leaves the cluster based on bridging and bonding ties. The findings address the need for more focused understanding of entrepreneurial clusters and how mechanisms can be developed to create an environment to nurture both bridging and bonding ties. It is possible for an entrepreneurial cluster to be perceived as attractive and thriving while being homophilous. Ethnic individuals and women continue to struggle to gain acceptance in the Cambridge cluster.

Interviews were conducted by one person – an ethnic minority female – for continuity of all interviews. Yet as many of the participants were not minorities, it is possible that an interviewer who was not an ethnic minority may have elicited different narratives.

The study adds to the entrepreneurship literature by focusing on multiplexity within homophily in examining the dynamics of homophily in the context of the Cambridge cluster and the significance of nurturing bridging and bonding ties. The research comments on implications for practice among three interlinked but autonomous groups: first, the individual entrepreneurs; second, the networks she/he belongs to; third, the university as both fertile ground for entrepreneurship and an educational institution where entrepreneurship education is engaged in for encouraging and supporting spinouts.

The popular uprising in Sri Lanka on July 9th, 2022, led to President Gotabaya Rajapaksa fleeing the country. It represented a stunning culmination of a wave of protests during the recent past. The proximate cause of the uprising was the worst economic crisis that Sri Lanka had experienced since the Great Depression of the 1930s. The breakdown was long in the making since the island nation became the first country in South Asia to take the neoliberal turn in the late 1970s. The dramatic collapse was catalyzed by a sovereign debt crisis with the onset of the COVID-19 pandemic and the war in Ukraine. Nevertheless, like all great revolts, it has led to a counter revolution by the ruling class, including the reconfiguration of the old regime.

We examine the tremendous consequences of recent events, both in terms of Sri Lanka's long history of struggles involving working people and the global unravelling underway. We explore whether Sri Lanka is a harbinger of more global political economic changes to come. The process includes the possibility of systemic resistance to financialization in the scores of countries in the Global South experiencing tremendous debt distress. In this regard, we ask whether Sri Lanka's revolt could yet become a revolution. To frame the potential implications, we turn to a deeper interrogation of classic Marxist theories and concepts.