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The purpose of this paper is to explore the key influential factors and their implications on food supply chain (FSC) location decisions from a Thailand‐based manufacturer's view.

In total, 21 case studies were conducted with eight Thailand‐based food manufacturers. In each case, key influential factors were observed along with their implications on upstream and downstream FSC location decisions. Data were collected through semi‐structured interviews and documentations. Data reduction and data display in tables were used to help data analysis of the case studies.

This exploratory research found that, in the food industry, FSC geographical dispersion pattern could be determined by four factors: perishability, value density, economic‐political forces, and technological forces. Technological forces were found as an enabler for FSC geographical dispersion whereas the other three factors could be both barriers and enablers. The implications of these four influential factors drive FSC towards four key patterns of FSC geographical dispersion: local supply chain (SC), supply‐proximity SC, market‐proximity SC, and international SC. Additionally, the strategy of the firm was found to also be an influential factor in determining FSC geographical dispersion.

Despite conducting 21 cases, the findings in this research are based on a relatively small sample, given the large size of the industry. More case evidence from a broader range of food product market and supply items, particularly ones that have significantly different patterns of FSC geographical dispersions would have been insightful. The consideration of additional influential factors such as labour movement between developing countries, currency fluctuations and labour costs, would also enrich the framework as well as improve the quality and validity of the research findings. The different strategies employed by the case companies and their implications on FSC location decisions should also be further investigated along with cases outside Thailand, to provide a more comprehensive view of FSC geographical location decisions.

This paper provides insights how FSC is geographically located in both supply‐side and demand‐side from a manufacturing firm's view. The findings can also provide SC managers and researchers a better understanding of their FSCs.

This research bridges the existing gap in the literature, explaining the geographical dispersion of SC particularly in the food industry where the characteristics are very specific, by exploring the internationalization ability of Thailand‐based FSC and generalizing the key influential factors – perishability (lead time), value density, economic‐political forces, market opportunities, and technological advancements. Four key patterns of FSC internationalization emerged from the case studies.

The purpose of this paper is to theorize how the industry life cycle unfolds differently across places and how economic agglomeration varies over time.

The paper relies on literature review and conceptual analysis.

It generates a dynamic geographic concentration model (i.e. an industry’s degree of geographic concentration drops in the growth stage, rises in the mature stage, and drops again in the new growth stage) and a localized industry life-cycle model (i.e. temporal dynamics differ between the center and the periphery).

It makes contribution by theorizing that the extent to which an industry is geographically concentrated changes over time, and by demonstrating how an industry’s center and periphery may experience different temporal dynamics.

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.

Internationalization is of high relevance and has been discussed intensively. However, different internationalization paths have been proposed by theoretical models and have been observed in reality. In this study, we examine the internationalization path of 52 German firms over a period of ten years using comprehensive and rich data on all new ventures established by these companies within this period. We find four distinct patterns of internationalization and propose a stage model of internationalization based on these findings. Our results show different challenges for managers depending on the stage of internationalization and render interesting starting points for further research.

The purpose of this study is to use crime mapping techniques to examine geographic patterns of signed deferred and non-prosecution agreements across federal districts. The purpose is also to examine the variation in the number of agreements by the district since 1992.

This study uses data from the Corporate Prosecution Registry to examine geographic patterns in federal corporate agreements since 1992 (n = 534). Choropleth mapping techniques were used to create national crime maps displaying the geographic locations of signed corporate agreements.

The results showed that, overall, prosecutors in the District of Columbia have signed the most federal corporate agreements although there is some variation over time.

This study is unable to determine the causes of changes in the geographic placement or number of agreements signed. It is also unable to determine the precise geographic locations of crimes, but only the location of the District Court that elected to pursue a federal agreement with the organization.

The wide discretion prosecutors have in the agreement process has led to an overall lack of transparency concerning prosecutors’ decision-making when signing agreements with organizations. This study helps to make the number and geographic location of agreements more transparent.

This study uses crime mapping techniques to visually depict the locations of signed agreements allowing for visual comparisons and analyzes for an extended period of time.

Studies of the social construction of markets have not determined which social environments, which we refer to as proximate social space, are most likely to trigger social construction processes. We find that U.S. nonprofit fiscal sponsors respond to greater potential for category emergence when proximate social space is defined by geography but not by market segment. Further, in addition to responding to potential claimants based on geographic peers, organizations also respond to actual claimants based on peers in the market segment. The pattern suggests that geographic social proximity triggers initial label claiming, which in turn triggers responses from market segment peers.

This paper addresses the geographical dimension of cross-border knowledge integration, expressed as the co-invention of patent filings and investigates the siting of patenting activities by major US corporations in China. Most importantly, the study looks into the patterns of international co-invention or the links of these locations to headquarters and other company subsidiaries.

The study explores the cases of six US multinationals that file international patent applications in China. The applications were analyzed based on the composition of invention teams and the locations of inventors.

The co-invented patent filings by US multinational enterprises (MNEs) in China demonstrate a high degree of US–Chinese subsidiary collaboration. Links with other subsidiaries are marginal, and at the same time, high levels of sole patenting by inventors in China point to competence-creating research and development (R&D) activities taking place.

The lack of subsidiary-subsidiary collaboration, especially subsidiaries in other emerging markets, indicates a less diversified strategy of leveraging internal networks of knowledge. This also implies that Chinese subsidiaries still lack attractiveness as partners in subsidiary-subsidiary co-invention. Only two companies in our sample, Procter & Gamble and Intel, demonstrate a highly diversified, integrated and transnational pattern of innovation management.

The paper contributes to the contextual understanding of the rich landscape of R&D activities of major US MNEs in China. By exploring these cases, the paper identifies a number of trends. First, the R&D activities in this sample are highly concentrated in technological clusters located in Beijing and Shanghai. Technological clustering is an important advantage of the innovation landscape in emerging markets. Second, the paper underscores the importance of differentiating between different types of co-invention. The patent applications in this sample tend to unite inventors mostly from the US and China, and so multi-country applications involving subsidiaries in other countries are rare. Thus, the level of integration outside the center-host bandwidth is low. However, Chinese subsidiaries demonstrate high levels of autonomy by filing single-country applications, which implies that they are building their own research identity.

The purpose of this paper is to provide an analysis of regional concentration patterns within ten new European Union (EU) member states, EU10, and make comparisons with EU15 and the US economy.

Industrial specialization and clusters are measured as employment in the intersection between a sector (three‐digit NACE data) and a particular region (NUTS 2 level), with a total of 38 sectors and 41 regions within EU10. Regional cluster size and degree of specialization is measured along 3D: absolute number of employees (>10,000 jobs is used as cut‐off for a regional cluster), degree of specialization (regional sector employment is at least two times expected levels) and degree of regional market labor dominance (>3 per cent of total employment in a particular sector). Each of these three measures of cluster size, specialization and labor market focus are classified with a “star”. The largest and most specialized clusters receive three stars.

EU10 exhibits 19 three‐star regional clusters, which display high values for each of the three measured parameters. In addition, there are 92 two‐star regional clusters and 313 one‐star regional clusters. The analysis also suggests that regional concentration in EU10 is clearly lower than in the USA, and slightly lower than in the old EU member states. In a few cases – IT, biopharmaceuticals and communications equipment – where the total size of the cluster is small, and there is little historical legacy in Eastern Europe, the EU10 exhibits higher geographical concentration than EU15.

Overall, the economies of EU10 exhibit a pattern of geographical concentration close to a random distribution, i.e. the process of regional concentration and redistribution of industry is in a very early phase. If Europe is to build a more competitive economy, industrial restructuring towards larger clusters must be allowed and pushed by policy makers both at the national and EU levels.

Policymakers must be well informed about geographical concentration patterns of industry. The research offers a consistent methodology of mapping regional clusters and geographical concentration patterns across sectors.

This paper is the first in measuring regional concentration patterns in Europe at this fine level, and is based on a new methodology developed by Professor Michael E. Porter at Harvard University. The paper has also introduced a new method of ranking clusters according to the star model.

To demonstrate the negative results of market sector based classification of client side FM organisations (FMOs) in benchmarking studies, and propose collection of both external and internal organisational patterns as the key characteristics of FMOs.

Interviews with leading consultants, clients and academics on the negative side effects of the current benchmarking studies in FM, followed by a critique of published FM and Organisational management studies to explore the characteristics of FMOs. As a result, it is proposed that characteristics of FMOs depend on its relations to the external and internal patterns.

It has been found that in literature and practice on FMOs, characteristics related to the internal environment of FMOs are neglected. These characteristics are: hierarchy, specialisation, centralisation, span of control, size, and reporting line. On the other hand, those related to the external environment of FM are widely covered in FM literature. These characteristics are occupancy profile, change, visibility to customers, and procurement options. This paper concludes with the proposition that the external and internal patterns collectively define the characteristics of FMOs and should equally be taken into account.

Prepares the background for an exploration of what makes FM organizations similar and dissimilar to each other. The extent of interviews and literature survey is explorative and hence inclusive.

A systematic exploration for comparative FM studies in the UK, and also source of information for FM scholars striving for understanding the context and relationships in client FM organizations.

This paper extends the depth and scrutiny of studies related to FM organizations by investigating both practice and theory and proposes a system that can explain the differences between FM organizations.

There can be no question that the aggregate economic performance of the United States over the 1990s was outstanding. Except for a brief recession in 1990–1991, the United States experienced steady growth, rising productivity, low and falling unemployment, and little inflation. Following sharp run-ups at the start of the decade, there were also declines in other social and economic indicators such as poverty, welfare caseloads, crime, and teenage birth rates. These trends suggest there were widespread increases in economic prosperity. In fact, however, we do not know exactly how the benefits of this performance were distributed.