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The field of Supply Chain Management (SCM) has mainly focused on applications for large firms, where significant amount of theory has been developed in the last decades. Little attention has been received by micro and small enterprises (MSEs) that in Latin America represent approximately 99% of all businesses and are the key for the development of the economy, employment, and growth of the region. Due to MSEs' lack of productivity, only a fraction of them survive and thus contribute to Latin America's economic growth. In this chapter, we discuss the connection between MSEs' productivity growth and SCM. We present key takeaways from the literature and summarized different research approaches used to study this emerging field, specifically related to the impact of the size of the company, the use of surveys to gather data, and the importance of field interventions. We also present a large-scale project (i.e., MIT GeneSys) that focuses on improving survival of MSEs in developing countries and discuss some preliminary learnings gained via conducting shadowing/immersion of ∼250 MSEs from Mexico, Colombia, Chile, Ecuador, Peru, and Bolivia. We conclude the chapter by presenting some recommendations for the future research agenda for the emerging field of SCM for MSEs in Latin America.

Micro and small enterprises (MSEs) represent 99% of Peruvian firms, contribute 42% of Peru's Gross Domestic Product, and employ half of the country's labor force. Despite their relevance for the Peruvian Economy, they have low survival rates and are characterized by low productivity and processes inefficiencies. This chapter explores whether the adoption of Business and Supply Chain Management (SCM) practices influences MSEs' performance. We conducted a field study using data from 50 MSEs located in Piura, Peru, specifically from trade, service, and manufacturing sectors. We used the data collection guidelines from the MIT GeneSys to measure the firms' adoption of Business and SCM practices. Our results show that MSEs with higher adoption of Financial Planning, Supply Chain Planning, Supplier Relationship Management, Marketing, Procurement, and Stock Control practices are more likely to have higher revenue (i.e., sales). In addition, a multiple regression analysis reveals that while SCM practices do not seem to directly explain productivity growth in MSEs (as business practices do), they, however, seem to influence the performance of business practices, and, thus, have an indirect effect on the productivity growth of MSEs.

International business (IB) studies revolve around two key perspectives defined as a firm-specific perspective and a generic perspective that combined to provide a company with crucial insights into how to enter and navigate in foreign markets. Such a combined approach provides a company with a holistic perception of what kind of resources and capabilities it needs before entering and operating in specific markets. The key issue here is how to design a research approach that provides the data that make a researcher capable of developing an explanatory framework for how to engage such markets. Before looking for appropriate research methodologies and tools for data collection, there is a need for a pertinent philosophy of science. This chapter discusses three different philosophies of science each one capable of providing the analyst with a specific take on how to “think” data. Arguably, whatever approach one selects, the choice has an impact on the outcome of the research process. After selecting a specific philosophy of science, the chapter applies it on an analysis of the Danish shipping company Maersk. The focus is on how employees at headquarters and selected overseas subsidiaries “read” the global corporate culture and navigate within the company for own and organizational benefit. This chapter discusses the ramifications of selecting one philosophy of science over another when engaging in qualitative or quantitative research in an IB context.

The purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.

To test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).

Several important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.

This research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.

In line with the knowledge-based view of organizations, this paper aims to analyze how supply chain (SC) employees contribute to the creation of competitive advantage through knowledge acquisition and utilization activities. The authors consider SC employees' skills and competencies, their external network of relationships, their job satisfaction and company investments in training and test how they relate to SC-level outcomes (i.e. SC growth).

The authors design a research model including the aforementioned variables, and the authors apply structural equation modeling (SEM) to survey data collected from 246 SC professionals in Latin America. The authors also use multi-group analysis to evaluate how the relationships between these variables change with different levels of company investment in training.

The results show that a broad professional network of relationships contributes to increasing the skills and competencies of SC professionals, which, in turn, impact job satisfaction and SC performance. This reinforces the value of investing in skilled human talent, who can contribute to knowledge acquisition, utilization, and, ultimately, to SC competitiveness. Companies that invest more in training to develop their SC employees benefit from stronger SC outcomes.

This study contributes to broadening the understanding of the impact of human resource management (HRM) on supply chain management (SCM). One of the added original foci of this research is the emphasis on developing countries where these HRM-to-SCM performance relationships have not been studied before.

Top-management-teams (TMTs) and chief executive officers (CEOs) dealing with internationalization are naturally predisposed to deal with space, so they will consult “spatial knowledge.” The purpose of this paper is to offer a conceptual description of spatial knowledge used by TMTs/CEOs and to describe how the use of spatial knowledge can be triggered and the resulting biases that arise from it. The description of spatial knowledge is also discussed in relation to core international business (IB) theories/models.

This is a conceptual study.

TMTs/CEOs use spatial knowledge for internationalization decisions. This spatial knowledge is “declarative” because it involves knowledge of places and associated characteristics or attributes, “configurational” because it involves knowledge of various types of relative positions and proximities between places and “procedural” because it involves knowledge of how to structure transactions, operate or organize interdependencies between locations. Additionally, TMTs/CEOs individually have spatial knowledge that is uniquely distorted. Then, finally, when TMTs/CEOs consult spatial knowledge to identify international opportunities or solutions, their search process may entail distance and directional biases as a result of their spatial knowledge.

This is the first paper to introduce the notion of “spatial knowledge” to the research on TMT/CEO experiences and internationalization and IB research in general.

Whey products have conventionally been professed as a means of reducing ingredient costs. The authentic benefits of adding whey products are the enhanced worth resulting from flavor, texture and nutritional improvements as well as nutraceutical or health‐enhancing payback. Therefore, the present study aims to isolate and characterize suitable starter cultures for the production of wheyghurt drink.

Keeping in view all the benefits of yoghurt technology this study was planned to isolate the starter cultures and optimize the conditions for the production of wheyghurt drink. The starter cultures (Lactobacillus delbruceckii ssp. Bulgaricus and Streptococcus thermophilus) were isolated from the yoghurt and further characterized on the basis of their morphological and biochemical characteristics. The wheyghurt drink prepared from starter cultures with varying starter culture concentrations (1, 1.5, 2 and 2.5 percent) was analyzed for the physicochemical and sensory characteristics to explore the potential of wheyghurt drink.

During storage, color, flavor, taste and overall acceptability were affected significantly. But the interaction between treatments and storage was found non‐significant to all the sensory parameters. At zero day maximum score (7.40) for overall acceptability was recorded for T₃ and minimum score (5.60) was awarded to T₄. After five, ten and 15 days of storage, judges observed a slight decline in overall acceptability in all wheyghurt drink samples. Hence it was concluded that wheyghurt drink sample T₃ obtained maximum scores regarding the organoleptic evaluation and remained the best.

The key to growth is a continuous evaluation and modification of the product to match consumer expectations. Currently there are many apparent benefits that result from incorporating selected whey products into yogurt formulas. The starter cultures for the production of fermented whey products are not presently produced in Pakistan and are imported for industrial use. The use of LAB as starter culture may help to improve the quality and shelf life of the whey products.

The research is useful for food manufacturers in order to develop functional food products for consumers. Understanding consumer needs and preferences is critical to successful product development and enhancing marketing values of a product. Nutritionally improved foods, such as wheyghurt over the conventional counterpart, will be highly successful in the marketplace. Consumers will prefer such kinds of foods because they are more conscious about their health and such foods provide them with what they desire, i.e. health benefits with good nutrition.

The authors argue that privacy is integral to the well-being of consumers and an essential component in not only corporate social responsibility (CSR) but what they term uniquely as social media responsibility (SMR). A conceptual framework is proposed that delineates the privacy issues companies should pay attention to in artificial intelligence (AI)-fueled social media environments.

The authors review literature on privacy issues in social media and AI in the academic and practitioner literatures. Based on the review, arguments focus on the need for an SMR framework, proposing responsible use of consumer data that is attentive to consumers' privacy concerns.

Implications from the framework are a path forward for social media companies to treat consumer data more fairly in this new environment. The framework has implications for companies to reduce potential harms to consumers and consider addressing their power and responsibility. With social media and AI transforming consumer behavior so profoundly, there are a variety of short- and long-term social implications.

Since AI tools are becoming integral to social media company activities, this research addresses the changing responsibilities social media companies have in securing consumers' data and enabling consumers the agency to protect their privacy effectively. The authors propose an SMR framework based on CSR research and AI tools employed by social media companies.