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This paper aims to explore the spatio-temporal patterns of Chinese foreign direct investment (FDI) since the inception of the Belt and Road Initiative (BRI) in 2013 as an extended version of geographically weighted regression.

The panel data are used to examine spatial and temporal dynamics of the magnitude and the direction of China's outward FDI stock and its flow from 2011 to 2015 at a country level. Using the geographically and temporally weighted regression (GTWR), spatio-temporal distribution of FDI is explained through Logistic Performance Index, the size of gross domestic product (GDP), Shipping Linear Connectivity Index and Container Port Throughput.

A comparative analysis between participating and non-participating countries in the BRI shows that the size of GDP and Container Port Throughput of the participating countries have a positive effect on the increases of China's outward FDI Stock to Asia especially after 2013, while non-participating countries, such as North America, Western Europe and Western Africa, have no significant effect on it before and after the implementation of the BRI.

The findings, however, will not necessarily provide insight into the needs of China's outward FDI in certain countries to develop their economy. The findings provide the evidence to inform policy making to help identify the winners and losers of the investment, scale and direction of investment and the key drivers that shape the distributive investment patterns globally.

The study provides the empirical evidence to inform investment policy and strategic realignment by quantifying scale, direction and drivers that shape the spatio-temporal shifts of China's FDI.

The analysis also guides the Chinese government improve bilateral trade, build infrastructure and business partnerships with preferential countries participating in the BRI.

There is an urgent need to adopt a new perspective to unfold the spatial temporal complexity of FDI that incorporates space and time dependencies, and the drivers of the situated context to model their effects on FDI. The model is based on GTWR and an extended geographically weighted regression (GWR) allowing the simultaneous analysis of spatial and temporal decencies of exploratory variables.

Although current research has investigated how open research data (ORD) are published, researchers' behaviour of ORD sharing on academic social networks (ASNs) remains insufficiently explored. The purpose of this study is to investigate the connections between ORDs publication and social activity to uncover data literacy gaps.

This work investigates whether the ORDs publication leads to social activity around the ORDs and their linked published articles to uncover data literacy needs. The social activity was characterised as reads and citations, over the basis of a non-invasive approach supporting this preliminary study. The eventual associations between the social activity and the researchers' profile (scientific domain, gender, region, professional position, reputation) and the quality of the ORD published were investigated to complete this picture. A random sample of ORD items extracted from ResearchGate (752 ORDs) was analysed using quantitative techniques, including descriptive statistics, logistic regression and K-means cluster analysis.

The results highlight three main phenomena: (1) Globally, there is still an underdeveloped social activity around self-archived ORDs in ResearchGate, in terms of reads and citations, regardless of the published ORDs quality; (2) disentangling the moderating effects over social activity around ORD spots traditional dynamics within the “innovative” practice of engaging with data practices; (3) a somewhat similar situation of ResearchGate as ASN to other data platforms and repositories, in terms of social activity around ORD, was detected.

Although the data were collected within a narrow period, the random data collection ensures a representative picture of researchers' practices.

As per the implications, the study sheds light on data literacy requirements to promote social activity around ORD in the context of open science as a desirable frontier of practice.

Researchers data literacy across digital systems is still little understood. Although there are many policies and technological infrastructure providing support, the researchers do not make an in-depth use of them.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0255.

Congestion at Ghana’s main seaports is a problem that has received much attention recently. This is as a result of continuous increase in containerized cargo. To increase the capacity of Ghana’ seaport, the Ministry of Transport through the Ghana Shippers Council initiated the Boankra Inland Port Project. The aim of this paper is to assess the feasibility and economic effects of implementing the Boankra Inland Port as a solution to reduce congestion at the main seaports, as well as reduce transportation cost.

The location of the inland port was assessed using the gravitational model. Data for the gravitational model are distances from the main seaports in Ghana and Boankra Inland Port to major hinterland destinations and population of the destinations. Also, 210 respondents were selected and interviewed on contribution of the dry port concept to the economy and transportation management in Ghana.

The results of the gravitational model support the location of Boankra as an inland port. A further comparison between Tema and Takoradi shows that Tema has a better location as a distribution center than Takoradi.

Although Tema and Takoradi are the main seaports in Ghana, the implementation of the Boankra inland port will reduce the transportation cost for cargo with hinterland destinations, therefore making it a rational and cost-efficient location for transit transportation.

This paper is among the first significant attempts to evaluate the suitability of inland port implementation in Ghana.

This paper aims to investigate the interplay between international migration, soft skills and job and life satisfaction after returns.

The paper uses the dataset of Human Capital in Poland 2010–2014 representative surveys with 4040 return migrants, who worked temporarily abroad and returned to an origin in comparison with almost 70,000 stayers, who never worked abroad. In this study, Poland is treated as a strategic research site for the labor migration processes, which happened after the biggest European Union enlargement in 2004.

This study discovered that working abroad had a positive relation with cognitive, intrapersonal and interpersonal competencies, as well as job and life satisfaction. However, the relations differ depending on the key destination country.

This study discusses the implications for future research and practice, offering recommendations to organizations on how to embed employees with these resources in companies and how to support return migrants and their potential employers with the use of migratory informal human capital in personnel management and counseling.

This paper brings quantitative arguments about the hidden impacts of international migration on human capital by uniquely comparing the migrant population with the non-migrant population.

This paper aims to address the rural and gender gaps in the immigrant entrepreneurship literature by exploring the start-up stories of 18 female immigrants who currently run a business in northernmost Norway.

The paper is based on a qualitative fieldwork including business visits and in-depth interviews. The transcripts from the interviews were analysed using a constructivist grounded theory (CGT) approach.

Four modes of entry to entrepreneurship were identified: entrepreneurship as a way out of unemployment; entrepreneurship as a means to avoid underemployment, entrepreneurship as a means to live in a region of perceived attraction; and entrepreneurship as a preferred choice for women in satisfactory wage labour. In addition, the paper reveals the importance of family support and of spatial embeddedness among immigrant entrepreneurs living in a rural context.

This study notes that the modes of entry to rural immigrant entrepreneurship are diverse, but that they are often partly related to the pursuit of an initial feeling of belonging in the new region of settlement. Hence, developing the knowledge of how to not only attract but also retain and increase the feeling of local belonging of immigrants may be important for many rural regions in the Western world. This is because rural immigrants not only represent a much needed in-flow of younger people in a typically decreasing and ageing population but also entail cultural variation and job creation, thus contributing to place development.

The paper argues for the importance of considering immigrant entrepreneurs as significant actors of rural development.

While immigrant entrepreneurship has emerged as an important field of study, it has been criticised for focusing predominantly on men and for neglecting contextual variations in the analysis. The rural context especially has been largely omitted. By focusing on female immigrants having established a business in a rural context, the paper adds to the literature, firstly, by highlighting the experiences of female immigrant entrepreneurs. Secondly, it reveals that rural immigrant entrepreneurship cannot be conceived in terms of “ethnic resources” or “enclave economy” that are often central explanatory dimensions in megacity studies. Thirdly, it argues for the importance of considering both the spatial as well as the family contexts in the author’s theoretical conceptualizations of the (immigrant) entrepreneurial start-up phase.

This section of the book brings together descriptions of the current state of research management and administration (RMA) in individual countries – or in some cases regions. There are over 50 countries included, the first time that such a comprehensive overview of RMA around the world has been brought together.

The purpose of this paper is to discuss the scenario planning approach developed and used by the European Tourism Futures Institute (ETFI).

This paper contains the following sections: mission and aims of the research group; epistemological and methodological positioning, conceptual framework and research lines for an applied scenario planning approach.

This paper highlights the research methodology of the scenario planning group of the European Tourism Research Institute. It provides insight in the research foundations of the scenario planning approach in a tourism context and ETFI's conceptual framework for scenario planning.

The paper provides an insight to how Europe's first tourism futures research centre developed and uses a conceptual framework for scenario planning thus demonstrating best practice success.

The purpose of this paper is to analyze the impact of logistics performance on the carbon (CO2) emissions of Balkan countries.

Fixed-effects panel regression analysis is used to estimate the causal relationship between CO2 emissions and logistic performances of Balkan countries. Logistics performance is measured by logistics performance index (LPI) which was published by the World Bank in 2007, 2010, 2012, 2014 and 2016 and used for ranking countries by means of their logistics performance. LPI is based on six main indicators: customs procedures, logistics costs and the quality of the infrastructure for overland and maritime transport. As a measure of carbon emissions of sampled countries, the natural logarithm of carbon dioxide emission per capita is used in this study.

The results obtained reveal that there is a positive and significant relationship between logistics performance and CO2 performances of the sampled Balkan countries.

This study is based on only 11 Balkan countries. In this sense, the data used in the analysis is limited.

Considering the important geostrategic position of the Balkan region, logistics sector has an important role for the development of the countries in that region. In this sense, the findings of this study may provide useful insights for policymakers to achieve sustainable economic development. Furthermore, as far as the authors know, this is the first study that focuses on the relationship between logistics performance and carbon emissions of Balkan countries.

This study aims to develop a comprehensive conceptual framework that serves as a foundation for identifying most critical delay risk drivers for Building Information Modelling (BIM)-based construction projects.

A systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify key delay risk drivers in BIM-based construction projects that have significant impact on the performance of delay risk predictive modelling techniques.

The results show that contractor related driver and external related driver are the most important delay driver categories to be considered when developing delay risk predictive models for BIM-based construction projects.

This study contributes to the body of knowledge by filling the gap in lack of a conceptual framework for selecting key delay risk drivers for BIM-based construction projects, which has hampered scientific progress toward development of extremely effective delay risk predictive models for BIM-based construction projects. Furthermore, this study's analyses further confirmed a positive effect of BIM on construction project delay.