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The purpose of this paper is to investigate the extent to which the geographical location of and thus the geographical distance between buyer and supplier impact on the efficacy of purchasing practices (i.e. strategic purchasing management, tactical purchasing management, relational purchasing management) in terms of operational performance.

The authors utilise cross-country data collected through the International Purchasing Survey group across a variety of countries and industry sectors. The authors conduct exploratory factor analysis to assess construct validity and regression analysis to test the varying effects of purchasing practices on operational performance. The authors split the sample to compare potential differences in the efficacy of purchasing practices between buyers and suppliers through geographical characteristics.

The results indicate that the efficacy of purchasing practices does indeed vary depending on differences in geographical location. Specifically, the authors identify that in cases where the buyer and supplier are located in the same country tactical and relational purchasing tools have a positive impact on operational performance. However, in cases where they are situated in different countries none of the purchasing tools seems to significantly improve operational performance.

Research that has taken a cross-country perspective on the efficacy of supply chain practices is surprisingly sparse. Since most supply chains are becoming more and more global it is important to consider the geographical location of the supply chain members when assessing the performance benefits of supply chain practices such as purchasing tools. Thus, the authors introduce and test the concept of geographical distance on the efficacy of purchasing practices at the dyadic level. To test the implications of geographical distance for purchasing practices the authors use a large-scale cross-country survey.

This study aims to investigate the impacts of geographical proximity on social capital development through the inter-relationship between three social capital dimensions (structural, relational and cognitive dimension) and the knowledge sharing between small- and medium-sized enterprises (SMEs). The authors empirically test a main hypothesis that the mechanism of social capital development that subsequently results in tacit knowledge sharing is different for SME buyer-supplier partners across their different geographical distances.

Multiple-group analysis in structural equation modeling (SEM) was conducted to test the research hypotheses using data collected from approximately 200 SMEs in Thailand’s food industry.

At a great geographical distance, the structural dimension impacts the cognitive dimension only in an indirect way through a relational dimension, which subsequently leads to knowledge sharing between SME buyer-supplier partners. At close geographical proximity, while the indirect impact of structural dimension on cognitive dimension through a relational dimension is still presented as it is in a great geographical distance, structural dimension has a positive and direct impact on the cognitive dimension as a complementary way to jointly reinforce knowledge sharing between SME partners. Among distant SME partners, the relational dimension shows a stronger impact on the cognitive dimension. In contrast, the direct influence of structural, relational and cognitive dimensions on knowledge sharing is identical, regardless of geographical distance.

The managers of SMEs can design their network-building approach in such a way that different location partners can enhance knowledge sharing. Policymakers could consider these results as a guideline when imposing SME development policies and geographical cluster policies in emerging economies.

This study provides empirical evidence that demonstrates how geographical proximity between SME partners in an emerging economy influences their social proximity through the lens of social capital development mechanism and thus leads to knowledge sharing between them.

The purpose of this paper is to examine whether geographical distance or economic distance offers greater diversification benefits in the UK office market.

The real estate investment data for this study come from the Investment Property Databank analysis “UK Quarterly Key Centres Q2 2015”. The author measures the geographical distance between the City of London and 27 local authorities (LAs) by road distance. The author used the market size and employment structure of the LAs relative to the City of London to calculate economic distance.

The results show that LAs that are classified on their economic distance show significant negative office rental growth correlations with the City of London. In contrast, geographical distance shows no relationship. Results are consistent for the overall sample period and for various periods.

Spatial diversity is a fundamental tenet of real estate portfolio management and the results here show that it is better to diversify by across office markets in the UK using the economic attributes of LAs rather than the physical distance between locations.

This is one of only two papers to explicitly examine whether economic distance or geographical distance leads to significantly lower rental growth coefficients between locations in office markets and the first in the UK.

Digital transformation misalignment refers to disparities in digital transformation levels between suppliers and buyers across the production and operation process. It has negatively affected supply chain stability. However, the existing research concerning the economic consequences has not been adequately addressed. Therefore, this paper aims to investigate whether such digital transformation misalignment increases supplier financial risk and to identify the factors influencing this relationship.

This paper examines binary combinations of suppliers and buyers listed on China’s A-share market between 2011 and 2021. This group constitutes a sample to empirically test the influence of digital transformation misalignment on the supplier’s financial risk, as well as the moderating effect of the geographical and organizational distances.

The paper’s findings demonstrate that digital transformation misalignment has indeed a significant increase in the supplier’s financial risk. Moreover, the impact is more intense when the geographical or organizational distance between the supplier and the buyer is relatively large.

The existing literature rarely explores the potential risks arising from digital transformation misalignment between supply chain partners. Therefore, this paper fills a notable gap as it is the first to study the impact of digital transformation misalignment on the supplier’s financial risk and the specific applied mechanisms. The contribution significantly improves the field of corporate digital transformation, particularly, within the context of supply chain management.

The purpose of this study is to analyse the role of relational power/dependent asymmetries and symmetries in shaping socially responsible supply chain management, whilst also examining how these issues are moderated by geographical distance between buyer and supplier.

The study draws on data from 339 buyer‐supplier relationships, and the authors use a set of regression models to test their hypotheses.

Joint dependency positively influences socially responsible supply chain management, whilst supplier power constrains it. Both joint dependency and buyer power become increasingly important determinants of socially responsible supply chain management as geographic distance increases.

Further work is needed to examine the conditions under which organisations will exercise their power advantage or their joint dependence position to improve socially responsible processes in the supply chain, as there may be situations where the buyer chooses not to exercise their power positions.

The authors' results indicate that jointly dependent relationships create the best conditions for socially responsible supply chain management, but they also find that supplier power advantage can constrain such initiatives.

This is the first paper to systematically analyse the implementation of socially responsible supply chain management, within a model that considers power a/symmetric positions of the buyer‐supplier relationship, and the role of geographical distance as a moderating influence on these power positions.

“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.

As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.

The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.

In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”

This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.

The purpose of this paper is to investigate the moderating effect of business networks on the export performance of firms.

Following recent studies conducted from a network perspective, this moderating effect is studied for different types of business networks. To do this, a two-step Heckman-probit model is implemented for a sample of more than 2,000 manufacturing companies with information from the years 2006 to 2012. This study analyses the effect of nine variables of institutional distance between Spain and four geographical areas for collaborating and non-collaborating firms.

The main contribution of this paper is suggesting that vertical networks reduce the negative effects of institutional distance faced by the company in the early stages of its export process.

According to the results of this paper, managers should make a greater effort to expand their networks when they want to start exporting to further markets, as some networks reduces the negative effect of distance on export propensity. Moreover, the results also suggest that participating within a network may not be sufficient to increase the propensity to export of a firm, being important the kind of network in which companies participate.

The originality of this paper lies in providing empirical evidence that distinct kind of networks have different effect on the internationalisation process of companies, and that they affect not only directly as previous studies showed but also indirectly moderating the negative effect of the differences between markets.

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.

The purpose of this paper is to study the optimization of the geographical location of a network of points of sale, so that each retailer can have access to a potential geographic market. In addition, the authors study the importance of the distance variable in the commercial viability of a point of sale and a network of points of sale, analysing if the best location for each point (local optimum) is always the best location for the whole (global optimum).

Location-allocation models are applied using p-median algorithms and spatial competition maximization to analyse the actual journeys of 64,740 car buyers in 1240 postal codes using a geographic information system (GIS) and geomarketing techniques.

The models show that the pursuit of individual objectives by each concessionaire over the collective provides poorer results for the whole network of points of sale when compared to coordinated competition. The solutions provided by the models considering geographic and marketing criteria permit a reduction in the length of journeys made by the buyers. GIS allows the optimal control of market demand coverage through the collaborative strategies of the supplying retailers, in this case, car dealerships.

The paper contributes to the joint research of geography and marketing from a theoretical and practical point of view. The main contribution is the use of information on actual buyer journeys for the optimal location of a network of points of sale. This research also contributes to the analysis of the correlation between the optimum local and optimum global locations of a commercial network and is a pioneering work in the application of these models to the automotive sector in the territorial area of the study.