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Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

This research aims to theorize how a critical factor, resource access, can paradoxically impact the comprehensiveness of venture location decision processes and the relationship between decision comprehensiveness and new venture performance. To do so, the authors focus on nascent entrepreneurs’ venture location decision processes and introduce resource access as a double-edged sword.

In this conceptual article, the authors draw from the strategic decision-making and resource mobilization literature to theorize about the new venture location decision-making process and its performance implications.

By uncovering the paradox of resource access, the authors propose that high levels of resource access create a paradoxical situation in which nascent entrepreneurs are less likely to use comprehensive decision processes when their benefits are at their greatest.

This work contributes to entrepreneurship research on new venture location and resource mobilization in three important ways. First, the authors advance the literature on nascent entrepreneurs’ location decision-making processes by introducing “location decision comprehensiveness” as a decision process construct and juxtaposing it with resource access to uncover the entrepreneurial decision-making process. Second, the authors develop a more nuanced theorization of the location choices made by nascent entrepreneurs instead of relying on generalized conclusions drawn from well-established corporations’ location decisions. Last, the authors extend the literature on resource mobilization in entrepreneurship by shedding light on the paradoxical aspect of resource access. While previous research has emphasized the favorable effects of resource access on new venture processes and outcomes, the authors contend that it can also negatively impact entrepreneurs’ ability to make effective decisions.

An integrated model for distribution network design is proposed which explicitly represents the required level of customer service.

Presents an AHP (analytical hierarchy process) decision model for facility location selection from the view of organizations which contemplate locations of a new facility or a relocation of existing facilities. The AHP model provides a framework to assist managers in analysing various location factors, evaluating location site alternatives, and making final location selections. The primary principle of the AHP model is to match decision‐makers’ preferences with location site characteristics. The model requires that a number of potential sites have been proposed. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgement in the solution process. Uses an example problem to illustrate the solution process. Addresses managerial implications for future research.

The purpose of this paper is to investigate aspiring immigrant opportunity (AIO) entrepreneurs' start-up location decisions.

The authors used conjoint analysis to explore 1,264 location decisions nested within 79 highly educated, first-generation AIO entrepreneurs.

The authors found that although government support positively influences business location decisions, network support decreases the perceived benefits of government support for AIO entrepreneurs. Furthermore, locations with high costs of doing business are unattractive to AIO entrepreneurs, but financial capital access through ethnic and nonethnic sources in these locations enhances the appeal of high-cost locations.

The generalizability of the findings to AIO entrepreneurs should be considered with caution. Future research should longitudinally examine immigrant opportunity entrepreneurs' location decisions and their implications for their start-up and community-level performance outcomes. The authors also encourage replication of the study.

The findings of this study have implications for AIO entrepreneurs who intend to make start-up location decisions. Also, government policymakers can use the findings of this study to better attract AIO entrepreneurs to different locations.

By integrating ethnic enclave theory and location theory, this research contributes to theory and practice about immigrant opportunity entrepreneurs' start-up location decisions which are currently underexplored in the immigrant entrepreneurship literature.

The determination of the appropriate site for the location of a research institute represents a multi-criteria problem which requires a scientific approach for decision-making. The research centre in this study is an institute that intends to carry out the state-of-the-art research activities and provide the requisite skills to expedite and optimize the manufacturing of rail cars in South Africa. Hence, the selection of a suitable and conducive location capable of achieving these aforementioned objectives in an effective manner is a problem which requires scientific justification for the allocation of the weights and biases. In light of this, using various decision techniques, this paper aims to establish a suitable framework for the location selection of the research institute which is capable of meeting the short- and long-term objectives of the institute.

This aim was achieved by ascertaining the suitability of potential location alternatives using the factor rating (FR) and centre of gravity (CoG) technique.

The CoG revealed that any location within the longitude of 28.28 and latitude of −25.75 (with a Cartesian coordinate position of 5053.62; 2718.69) is suitable for the research institute, while the result of the FR/weighted score matrix revealed that location J₃ with a weighted score of 72.6% is the most suitable location for the research institute with the longitude of 5053.62 and latitude of 2718.69.

The results of this paper helped decision-makers in locating the given research institute which is currently operational.

The present study is focussed on the application of location decision techniques in the research institute scenario. The combination of FR and CoG techniques for the selection of the most suitable location for a research institute amidst conflicting criteria has not been widely reported by the existing literature.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

As in line with eco benchmarking, the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles.

A hybrid multi-criteria decision-making method, fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), is used as methodology to make sustainability benchmarking for logistics center location selection.

It is revealed that according to AHP and PROMETHEE calculations, Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results, managerial implications are presented with a sustainability benchmarking view.

The main originality of this study is integrating one of the relatively new topics, sustainability benchmarking, with a popular area, logistics center location selection.

Science and technology parks (STPs) have a limited capacity, which can create challenging conditions for applicants. This makes the location selection a multi-criteria decision-making (MCDM) problem to find and apply for the most appropriate STP with the highest accordance with the startup's requirements. This research aims to select the most appropriate STP to locate an international entrepreneurial pharmaceutical startup under uncertainty. Since drugs are generally produced domestically in developing countries such as Iran, the access of pharmaceutical startups to the resources provided by STPs can lead to overcoming competitors and improving the country's health system.

In this research, the factors or attributes effective on startup location were extracted through a two-round Delphi method, which was performed among 15 experts within three groups. Subsequently, the determining factors were used to select the location of a pharmaceutical startup among possible STPs. In this regard, decision-makers were allowed to use different types of numbers to transfer their opinion. Afterward, the heterogeneous weighted aggregated sum product assessment (HWASPAS) method was applied to calculate the score of each alternative and rank them to place the studied startup successfully.

The results indicated that Tehran STP stands in the first place; however, if the decision was made based on single criterion like cost, some other STPs could be preferable, and many managers would lose this choice. Furthermore, the results of the proposed method were close to other popular heterogeneous MCDM approaches.

A heterogeneous WASPAS is developed in this article for the first time to enable international entrepreneurs to imply their opinion with various values and linguistic variables to reduce the emphasis on accurate data in an uncertain environment.

Using insights from the supply chain resilience perspective and the international business literature, this study aims to investigate the determinants of firms’ decisions to reshore manufacturing under the high levels of uncertainty brought about by the ongoing US–China trade war and COVID-19 pandemic.

The proposed conceptual framework is tested using survey data collected from 702 Taiwanese firms with manufacturing in China. The firms were drawn from a database compiled by Taiwan’s Ministry of Economic Affairs.

The results show that two supply chain factors (tariffs and supply chain completeness) and two non-location-bound factors (labor cost and material cost) are critical determinants of the decision to reshore under uncertainty.

This research elucidates and empirically validates several factors that influence the reshoring decision in uncertain environments. The findings provide valuable theoretical, practical and strategic insights into how firms should manage their value chains in the post-COVID-19 era.