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Land transactions are a key indicator of urban sustainable development and urban space expansion. Therefore, this paper aims to study the spatial correlation of different types of land transactions.

Based on the big data of land micro transactions in Yangtze River Delta urban agglomeration, this paper uses the generalized forecast error variance decomposition (GFEVD) method to measure the correlation level of urban land markets. Also, social network analysis (SNA) is used to describe spatial correlation network characteristics of an urban agglomeration land market. In the meantime, the factors that influence the spatial correlation of urban land markets are investigated through a quadratic assignment procedure (QAP).

The price growth rate of urban residential land was higher than that of industrial land and commercial land. The spatial relevance of urban residential land is the highest, while the spatial relevance of the urban commercial land market is the lowest. The urban industrial land market, commercial land market and residential land market all present a typical network structure. Population distance (POD) and Engel coefficient distance (EGD) are negatively correlated with the correlation degree of the urban residential land network; traffic distance (TRD) and economic distance (ECD) are negatively correlated with the correlation degree of the urban industrial land network and commercial land network.

This paper uses a systematically-integrated series of problem-solving models to better explain the development path of urban land markets and to realize the integration of the interdisciplinary methods of geography, statistics and big data analysis.

Emerging market firms (EMFs) are increasingly expanding their global presence through cross-border mergers and acquisitions (CBMAs). While such deals are distinct from those by advanced market firms, there is a need for a comprehensive understanding of how emerging home markets form this distinctiveness. This study aims to remedy this gap.

The authors conduct a systematic literature review of 84 empirical papers. Through a broad search string and seven exclusion criteria, the authors carefully select studies on country-level home factors of CBMAs by EMFs.

After summarizing paper volumes, journals and context factors of home/host countries and industries, the authors highlight different strands of institutional theory as the prevailing perspective and pre-M&A issues as the foremost theme. CBMAs by EMFs are influenced by distinct home-exclusive factors, and the mechanisms linking home-country factors to CBMAs by EMFs show significant inconsistencies across studies.

This review focuses on home country influence and thus goes beyond general characteristics of CBMAs by EMFs. The authors highlight more diverse types of home country factors and CBMA outcomes and, more importantly, take a closer look at involved mechanisms. Doing so, the authors identify gaps and disparities that have limited the understanding of home country influence in CBMAs by EMFs. To correct this, the authors offer a comprehensive roadmap for future research, contributing to EMF studies in particular and CBMA and international business research in general.

Foreign subsidiaries of multinational enterprises (MNEs) operate in complex and competitive international environments, implement market and non-market strategies, manage resources and value-added activities and contribute to the overall performance of their parent firms. Thus, the research question on the determinants of MNE foreign subsidiaries’ performance is of interest to managers and academic researchers. The empirical literature has flourished over the recent decades; however, the domains are fragmented, and the findings are inclusive. The purpose of this study is to systematically review, analyse and synthesize the empirical articles in this area, identify research gaps and suggest a future research agenda.

This study uses the qualitative content analysis method in reviewing and analysing 150 articles published in 24 scholarly journals during the period 2000–2023.

The literature uses a variety of theoretical perspectives to examine the key determinants of subsidiary performance which can be grouped into six major domains, namely, home- and host country-level factors; distance between home and host countries; the characteristics of parent firms and of subsidiaries; and governance mechanisms (the establishment modes and ownership strategy, subsidiary autonomy and the use of home country expatriates for transferring knowledge from the headquarters and controlling foreign subsidiaries). A range of objective and subjective indicators are used to measure subsidiary performance. Yet, the research shows a lack of broader integration of theories and presents inconsistent theoretical predictions, inconclusive empirical findings and estimation bias, which hinder our understanding of how the determinants independently and jointly shape the performance of foreign subsidiaries.

This study provides a comprehensive, nuanced and systematic review that synthesizes and clarifies the determinants of subsidiary performance, offers deeper insights from both theoretical, methodological and empirical aspects and proposes some promising avenues for future research directions.

This study aims to identify the location of regional growth poles in Vietnam.

A potential gravity model is constructed to estimate how attractive a location is in relation to other locations within a specifically defined region using spatial interpolation tools.

We present the calculated and visualized potential gravitational energy (or attractiveness) for every province showcasing regional growth poles in Vietnam.

Graphical evidence need to be supported by statistical analysis to establish causal effects of driving factors on growth measures.

This is the first study to use a potential gravity model to study growth poles in Vietnam.

Previous studies on the relationship between corporate social responsibility (CSR) and tax avoidance (TA) have found inconclusive results. Academics have suggested deepening our understanding of this relationship. Although a few studies have responded to this call, research toward moderating variables is still nascent. The purpose of this study is to analyze the moderating role of economic freedom (EF) and its interaction with power distance (PD) on the relationship between CSR and TA.

Based on a sample of 3,866 publicly listed firms from 44 countries over the period 2010–2018, the authors use multivariate regressions techniques to investigate whether and how EF moderates the relationship between CRS and TA and how PD influences this effect.

Findings indicate that the potentially positive relationship between CSR and TA is weaker for firms in institutional environments with higher EF. Moreover, we find that this moderating effect is stronger when PD is lower.

This study has important implications. It offers insights for managers to reflect on their CSR and taxation practices, and for policymakers to consider the institutional conditions that facilitate corporations’ social and tax-responsible behavior. These findings indicate the necessity of integrating cultural, regulatory and collaborative elements to observe corporations engaged in social and tax-responsible behavior.

To the best of the authors’ knowledge, this is the first study to investigate the moderating effect of EF on the relationship between CSR and TA, and its interaction with PD. Moreover, our sample includes firms based in Europe, North and South America, Asia and Oceania, facilitating the study of EF and PD’s broad diversity.

The paper aims to examine the digital economy's influence on China's regional innovation and development. It focuses on direct effects and spatial spillover across regions, and the mediating role of human capital. This analysis is vital for policy and strategic planning in the digital era.

This study uses panel data from 30 Chinese provinces (2004–2019) and uses the entropy method to quantify the digital economy's development. It investigates its impact on regional innovation using a dynamic spatial Durbin model (SDM) and mediation effect model, assessing direct effects, spatial spillover and human capital's mediating role. Various control variables are included for comprehensive analysis.

Findings show the digital economy significantly boosts regional innovation, acting as a growth driver. However, impacts vary regionally, with the central region gaining more than the eastern and western areas. Spatial spillover effects are mixed, showing negative short-term and positive long-term impacts under different weight matrices. Human capital is crucial for fostering innovation through the digital economy.

The paper offers unique insights into the spatial dynamics of the digital economy's impact on regional innovation in China. It advances understanding of the digital economy's role in regional development using innovative methods like the entropy method and dynamic SDM. Highlighting human capital as a key mediating factor enriches discussions on digital economy strategies for regional innovation.

Using bibliometric techniques, the author analyzes a dataset of 276 articles on cross-border mergers and acquisitions (CBMAs) published in 13 management and international business journals. The author assesses the scientific impact and visualizes the intellectual landscape of research on CBMAs by analyzing publication and citation data and interconnections between publications. First, the author assesses annual publication trends and identifies highly cited articles and productive journals in the dataset that have significantly contributed to our understanding of CBMAs. Second, the author identifies main themes in recent research on CBMAs by focusing on frequently used keywords in publications. Third, the author identifies clusters of related research and explores their interrelationships to outline emerging trends, new perspectives, and directions for future research on CBMAs. Overall, this chapter contributes to the understanding of CBMAs by documenting the progress made to date and providing important insights for future research.

The aim of this study is to develop a new multidimensional index to measure export potential of textile firms by using firm-level data.

After a conceptual model, a structural equation model is developed with five dimensions and 27 observed variables based on resource-based view theory. The measurement model is solved by Linear Structural Relations (LISREL) with maximum likelihood algorithm by using data collected from 454 textile firms in Türkiye.

In this study, a new multidimensional index that measures export potential of textile firms is developed. With the proposed model, the export potential of textile firms can be calculated numerically with the five dimensions: Resources, Dynamism, Knowledge, Innovation and Sustainability. The comparison of the output of the proposed model with the control variable, firm’s actual export values, shows a significantly high success ratio of 90.76%.

The model is applicable for textile firms at different export levels, regions and sub-sectors. The Export Potential Index for Textile Industry model is verified by using Turkish textile industry data. The robustness of the model may be increased by verifying the model by using some other countries data. This model can be implemented to other industrial sectors with some modification of the dimensions and variables.

The proposed model will contribute to the firms by calculating their export potential in five dimensions with their own variables numerically. The model will help firms to develop strategies to increase their export potential and to the governmental and industrial organizations to develop incentives policies.

This paper fills the gap in the literature by proposing a multidimensional index that determines a firm’s export potential numerically by using firm-level data.

Distances between contexts that a multinational enterprise (MNE) is familiar with and those that it is not familiar with do not hinder the MNE from becoming global. In this sense, distance serves as a barrier between an MNE’s global intentions and its regional realizations. (Multi)regional strategies are a possible expression of an MNE’s inability to approach distances. Considering the managerially relevant distances is essential to analyze the internationalization and the resulting (multi)regional strategies. A deeper understanding of how distance works requires linking distance to micro-foundations. Besides bounded rationality, bounded reliability opens the conceptual pathway toward a deeper understanding of internationalization and (multi)regional strategies.

Marketing Technology (Martech) is the cornerstone of creating digital experiences and interactive marketing, providing consumers with high experiential value. Drawing on the mindfulness theory, this study aims to explore how to achieve close psychological distance and experiential value in Martech servicescape (such as augmented reality [AR]).

We employed mixed methods research to clarify the research question. In Study 1, we conducted a systematic literature review of psychological closeness (PC) using a bibliographic coupling approach, identifying gaps in the research stream and discussing the research implications for the interactive marketing field. In Study 2, we used a task-based laboratory assessment to empirically verify our hypotheses and research framework. Two virtual try-on environments, AR and non-AR (e.g. traditional webpage browsing), were applied in a virtual fitting context. The two e-shopping environments were directly compared in terms of their moderating effects on the relationships among the mindfulness-oriented MarTech servicescape, PC and experiential value.

This study elucidates the antecedent of close psychological distance formation, indicating that the features of the mindfulness-oriented Martech servicescape – vivid sensory experience, consumer-focused shopping information and autonomous navigation, then result in creating experiential value. Moreover, this study also revealed that compared to a non-AR e-shopping environment, AR makes the better effect of the mindfulness-oriented Martech servicescape driving experiential marketing.

This study extends the research stream on mindfulness-oriented service to the Martech servicescape (e.g. AR try-on). In this way, this study’s findings will contribute to clarifying the interactive elements and design principles of mindfulness-oriented service in the Martech servicescape. By establishing the association between these three theoretical perspectives—mindfulness-oriented service research stream, construal level theory and experience economy paradigm—the study provides valuable insights into how Martech can enhance experiential marketing. Such research insights can help digital marketing managers shape appropriate Martech servicescape for effective experiential marketing.