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This chapter discusses the global factory paradigm. We show how mainstream international business (IB) thinking, namely, internalization theory, can guide multinational enterprise (MNE) strategic decision-making in the context of a global factory network.

We identify the key assumptions made in the global factory paradigm about the fine slicing of economic activities and the related implications for the ownership status and location of each activity. In order to overcome the global factory paradigm’s relative lack of predictive capacity, as compared to internalization theory, we propose an asset-bundling approach. This approach uses a clear and unambiguous criterion, namely, the tradability of resources (and resource combinations) to determine which sets of activities can best be left to external market contracting or should on the contrary be internalized on the basis of efficiency considerations.

We describe the enhanced role of developing/transition countries in the functioning of the global economy and show that these countries represent an increasing share of worldwide economic activities. Given this macrolevel development, the global factory, as a complex organizational form governing both internal activities and contracts with external parties, is rapidly gaining in importance. We describe, at the conceptual level, the strengths and weaknesses of the global factory and propose a “decision dynamics” matrix to support global factory, senior managers’ strategies in the realm of ownership status and location.

Future research on the MNE should focus on in-depth analysis of firms that embody “global factory”-type characteristics in order to understand better the evolution of this type of company and to capture the close requisite links among the focal firm, external contracting parties, and the broader environment. Such research should also lead to a better understanding of innovative resource combination processes and the transferability of non-location-bound firm-specific advantages (FSAs) across the global factory network.

In the global factory, the MNE head office assumes the role of resource orchestrator and is responsible for key strategic decisions on ownership status and location. Here, the head office must assess critically the operations that are part of the MNE’s value chain and reflect on the firm’s international dispersion of economic activities on an ongoing basis, given a myriad of broad environmental changes and changes in external competitive pressures. Our “decision dynamics” matrix provides a simple but effective managerial tool supporting MNE ownership status and location decisions, but the head office’s capability to make these decisions should not be overestimated.

We explicitly link internalization theory with the global factory paradigm and explore unresolved issues in the relevant literature. Internalization theory prescribes the optimal ownership status and location for each economic activity considered. The theory focuses on the bundling of firm-level resources and complementary ones held by external parties, for each fine-sliced economic activity. It also considers explicitly the nature of the linkages among these activities.

In the past decade, firms have become more aware of supply chain disruptions and their impact on the firm. Developing a supply chain resilience organizational culture has been proposed as an effective way to manage supply chain risks. This study intends to explore how the geographical location risks impact the decision to develop a supply chain resilience strategy, in particular, to anticipate the disruption proactively and have a business continuity plan in place. Using a unique database including thousands of manufacturing locations that belong to over 7,000 firms across 102 countries, we test three hypotheses to understand if geographical location risks, frequency of disruptive events, and the region in which a site is located are factors for the likelihood of a firm having a business continuity plan at their locations. The study also seeks to understand if there are regional effects and firm effects affecting the decision to develop resilience. With a particular focus in Latin America and the firms with a manufacturing presence in that region. The main findings of the study are that natural disaster risks do tend to develop a culture of resilience, while macroeconomic risks tend to do the opposite. These results remain stable for firms' effects. The Latin America region shows no observable statistical difference in developing resilience compared to the Asia region. While the Northern America region shows more resilience compared to Asia. We conclude that economic risk is less predictable and harder to develop a plan for than disruptions, such as natural disasters. The findings of this study present an opportunity for governments to develop resilience plans that can make their countries more attractive for investment to multinational firms looking to establish new manufacturing locations around the world.

We suggest that the entire world may not always be the appropriate frame of reference in analyses of Multinational Enterprises (MNEs) location choices. In some industries and activities, more narrowly defined geographic areas, such as regions and cities, are more relevant level of analyses. Employing global cities as the geographic frame of reference, we extend the theory of the location choices of MNEs by challenging the assumption that location attributes have identical values for all MNEs. Rather, we explicitly acknowledge the relative value of such attributes for individual MNEs, and search for the firm-specific characteristics that affect this variation. The empirical testing is based on analysis of 673 financial and professional service MNEs that entered New York and London via mergers and acquisitions (M&As). The findings confirm that it is the interaction between location and firm-specific attributes, rather than each of these independently, which affects location choices.

Community health clinics serving the poor and underserved are geographically expanding due to changes in U.S. health care policy. This paper describes the experience of a collaborative alliance of health care providers in a large metropolitan area who develop a conceptual and mathematical decision model to guide decisions on expanding its network of community health clinics.

Community stakeholders participated in a collaborative process that defined constructs they deemed important in guiding decisions on the location of community health clinics. This collaboration also defined key variables within each construct. Scores for variables within each construct were then totaled and weighted into a community-specific optimal space planning equation. This analysis relied entirely on secondary data available from published sources.

The model built from this collaboration revolved around the constructs of demand, sustainability, and competition. It used publicly available data defining variables within each construct to arrive at an optimal location that maximized demand and sustainability and minimized competition.

This is a model that safety net clinic planners and community stakeholders can use to analyze demographic and utilization data to optimize capacity expansion to serve uninsured and Medicaid populations.

Communities can use this innovative model to develop a locally relevant clinic location-planning framework.

Operations management involves utilizing given resources as efficiently as possible to deliver services to customers and meet business goals. Developing efficient business operations requires a hospitality organization to design efficient service environments, as part of its mission. This chapter articulates the key design and planning strategies for the development of a successful hospitality organization. The first section covers the process of location selection, as the most important factor leading to the success of a hospitality organization. The second section discusses strategies for estimating the number of users (service employees and customers) during peak and idle times to justify a costly financial investment. The third section concerns the readers with the topic of layout planning, with the goal of service optimization for a targeted number of customers. The fourth section deliberates workflow conditions, and finally, the last section addresses the ambience and design of the physical hospitality environment, which is crucial for customer evaluation of a hospitality organization as it creates a first impression.

This chapter analyses the rise of the ‘global factory’ – the globally integrated network centred on a focal multinational enterprise. This is a response to the increased volatility of the global economy and involves the creation of systems that allow flexibility in both the location and the control of increasingly ‘fine-sliced’ activities, the avoidance of monopoly and the evolution of new management skills. Foreign direct investment is only one strategy amongst several utilised by globally integrated multinationals.

This chapter shows how different recycling locations influence closed-loop supply chain (CLSC) cost and carbon dioxide equivalents (CO₂e), as well as reveal competitive recycling and manufacturing locations, including relevant distance- and location-related factors, for achieving very low cost and CO₂e CLSCs supporting circular economy. Exploratory data analysis is used to analyze results from simulations based on empirical data and market rates relating to textile and clothing CLSCs. The results show that most very low-cost and CO₂e CLSCs consist of fabric and garment manufacturing located at the same or nearby locations, and whose labor costs and electricity CO₂e are low, whether fiber recycling facilities are located in proximity to used garment sorting facilities or not. Scenario and sensitivity analyses of important cost and CO₂e factors for recycling location competitiveness reveal that increasing used garment prices makes locations with high import duties lose competitiveness, and that varying water freight CO₂e changes comparative location competitiveness.

The garbage can model showed that what appears to be irrational and unpredictable choices can be explained by processes that regulate attention allocation and the availability of choice alternatives. Because attention to alternatives fluctuates, the model generates context-dependent choices: evaluations of alternatives depend on the mix of other alternatives considered. I re-examine the mechanisms by which fluctuating attention can cause context-dependent choices. Using insights from behavioral decision theory I demonstrate how adding fluctuating attention to a well-known model of organizational decision making generates context-dependent choices of a kind that could not be explained by a maximizing process.