Modern mediators: intermediaries’ informational roles in sourcing from China

Purpose Sourcing intermediaries, commonly known as agents or trading companies, represent a useful organisational solution for assisting companies to manage supply risks and to overcome the liability of foreignness. However, the landscape of global business is experiencing rapid and fundamental changes, which leads us to ask whether intermediaries will continue to play a role in global sourcing. This paper aims to understand how sourcing intermediaries ensure a lasting position in the changing setting of global sourcing and information sharing. Design/methodology/approach This paper investigates the operations of both Chinese and Nordic (Finnish and Swedish) intermediaries in sourcing from China by analysing qualitative data collected over a period of four years. Findings Through the lens of information asymmetry, this paper identifies four distinct informational roles that are used by intermediaries to reduce information asymmetry between suppliers and buyers located in different countries. The paper also examines intermediaries’ signalling activities under these roles in a cross-border triad. Originality/value The paper contributes to the scientific debate on the usefulness of intermediaries by underlining intermediaries’ informational advantage, which provides a new explanation for the survival of intermediaries in a rapidly changing business context. Additionally, this study contributes to research on intermediation strategies by empirically examining both Chinese and Western intermediaries, highlighting the importance of institutional contexts in affecting intermediaries’ informational roles.

Simulation to Recover Niobium and Tantalum from the Tin Slags of the Old Penouta Mine: A Case Study

Demand for niobium and tantalum is increasing exponentially as these are essential ingredients for the manufacture of, among others, capacitors in technological devices and ferroniobium. Mine tailings rich in such elements could constitute an important source of Nb and Ta in the future and alleviate potential supply risks. This paper evaluates the possibility of recovering niobium and tantalum from the slags generated during the tin beneficiation process of mine tailings from the old Penouta mine, located in Spain. To do so, a simulation of the processes required to beneficiate and refine both elements is carried out. After carbothermic tin reduction, the slags are sent to a hydrometallurgical process where niobium oxide and tantalum oxide are obtained at the end. Reagents, water, and energy consumption, in addition to emissions, effluents, and product yields, are assessed. Certain factors were identified as critical, and recirculation was encouraged in the model to maximise production and minimise reagents’ use and wastes. With this simulation, considering 3000 production hours per year, the metal output from the tailings of the old mine could cover around 1% and 7.4% of the world annual Nb and Ta demand, respectively.

Exploring Progress with Supply Chain Risk Management during the First Year of the COVID-19 Pandemic

Background: In response to calls for actionable research that considers ongoing pandemic risk dynamics, we explore how risks experienced and risk mitigation techniques used have changed during the first year of the pandemic. Methods: We used a survey and studied six cases; data were collected both at the start of the pandemic and one year into the pandemic. This paper offers the first empirical exploration of the first full year of the pandemic and provides data points from both early and one year into the pandemic. Results: Our findings indicate that not only are pandemic risks far from mitigated, several types of risks have also increased in severity. Multifaceted and multidirectional approaches have been adopted, going well beyond demand and supply risks (the risks most widely considered in the literature) and much more work remains for supply chain managers to mitigate risks and improve supply chain resilience. Conclusions: We find that in addition to the risk management techniques, considering behavioral aspects is key for navigating a pathway towards risk mitigation.

Simulation to Recover Niobium and Tantalum From the Tin Slags of the Penouta Mine: A Case Study

Demand for niobium and tantalum is increasing exponentially as these are essential ingredients for the manufacture of, among others, capacitors in technological devices and ferroniobium. Mine tailings rich in such elements could constitute an important source of Nb and Ta in the future and so alleviate potential supply risks. This paper evaluates the possibility of recovering niobium and tantalum from the slags generated during the tin beneficiation process of mine tailings from the old Penouta mine, located in Spain. To do so, a simulation of the processes that would be required to beneficiate and refine both elements is carried out. After tin carbothermic reduction, the slags are sent to a hydrometallurgical process where at the end niobium oxide and tantalum oxide are obtained. Reagents, water and energy consumption, in addition to emissions, effluents and product yields are assessed. Certain factors were identified as critical, and recirculation was encouraged in the model to maximize production and minimize reagents use and wastes. With this simulation, considering 3000 production hours per year, the metal output from the tailings of the old mine could cover around 1% and 7.4% of the world annual Nb and Ta demand, respectively.

A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management

The main objective of the paper is to analyze and synthesize existing scientific literature related to supply chain areas where machine learning (ML) has already been implemented within the supply chain risk management (SCRM) field, both in theory and in practice. Furthermore, we analyzed which risks were addressed in the use cases as well as how ML might shape SCRM. For this purpose, we conducted a systematic literature review. The results showed that the applied examples relate primarily to the early identification of production, transport, and supply risks in order to counteract potential supply chain problems quickly. Through the analyzed case studies, we were able to identify the added value that ML integration can bring to the SCRM (e.g., the integration of new data sources such as social media or weather data). From the systematic literature analysis results, we developed four propositions, which can be used as motivation for further research.

Agent-Based Modeling for By-Product Metal Supply—A Case Study on Indium

With rapid development and deployment of clean energy technology, demand for certain minor metals has increased significantly. However, many such metals are by-products of various host metals and are economically infeasible to extract independently. Meanwhile, by-product metals present in the mined ores may not be extracted even if they are sent to smelters along with host metal concentrates if it is not economically favorable for the producers. This dependency poses potential supply risks to by-product metals. Indium is a typical by-product metal, mainly from zinc mining and refining, and is important for flat panel displays, high efficiency lighting, and emerging thin-film solar panel production. Current indium supply–demand forecast models tend to overlook the volatile and competitive nature of minor metal market and are mostly based on top-down approaches. Therefore, a bottom-up agent-based model can shed new light on the market dynamics and possible outcome of future indium supply–demand relationship. A multi-layered model would also be helpful for identifying possible bottlenecks of indium supply and finding solutions. This work takes indium as an example of minor metal market and sets up an agent-based model to predict future market situation and supply–demand balance. The market is modeled as a Cournot competition oligopolistic market by refineries with capacity restriction based on host metal production. The model maintains active Nash equilibrium each year to simulate competitions between suppliers. The model is validated and verified by historical data and sensitivity analysis. Several scenarios are also explored to illustrate possible uncertainties of the market.

Import Risks of Agricultural Products in Foreign Trade

This paper aims to identify the main risk groups according to their significance on imports of agricultural products. After analysis of the scientific literature, eight groups of risks associated with agricultural products import were determined: supply risks, demand risks, production risks, management plus operational risks, logistical plus infrastructural risks, political risks, policy plus regulatory risks and financial risks. In order to assess the importance of all import risk groups, three Multicriteria decision support methods (MCDM)—SAW, TOPSIS and Geometric means—for expert evaluation are used. The article introduces a new import risks assessment framework CIRA (Country’s Imports Risk Assessment) contributing to the systematic approach of a country’s international trade risks management. The results order risk groups according to their importance in the following order: production (the most crucial risk group), logistical plus infrastructural, financial, management plus operational, political, supply, policy plus regulatory and demand risks.

Identification of Lithuanian International Trade Risk in Beverages

Research purpose. The article aims to identify the risk groups arising in foreign trade in the four main groups of processed beverages at a national level. Design / Methodology / Approach. Processed agricultural drinks do not fall into the category of essential food. The article examines four main drink groups: waters (including mineral waters and aerated waters, with additive), beer, wine, and other alcoholic (e.g., spirits, liqueurs, whiskies, rums, gins, vodkas, etc.) beverages. The case of Lithuania is presented. Analysis and assumption of scientific literature and TOPSIS method are used. The study does not aim to assess all risk factors but to identify the groups of risk factors and to rank them according to their importance for each processed beverage sectors supply chains. Findings. Based on the scientific literature analysis, the eight risk groups were identified and were evaluated according to their importance for the beverages supply chain. Experts ranked risk groups taking into account their importance for international processed beverages trade for each product group. The results show that the most important is the Demand risks group for all processed beverages, and the least important is Political risk. The significance of other risk groups for a particular beverage supply chains differs. Supply risks were second in the ‘water with add’ group, while in the ‘other alcohol’ group, it is in fourth place. For the ‘other alcohol’ group, supply risks are less significant. Production risks are one of the most important in the wine trade. Financial risks are one of the most important in the ‘other alcohol’ group. Management and operational risks play an essential role in the beer supply chains. The least significant is three risk groups: Logistical and infrastructural risks, Policy and regulatory risks, Political risks. Originality / Value / Practical implications. The identified risks groups in the four main groups of processed beverages can help shape the country’s trade policy, mitigate trade risks, and effectively manage the agricultural trade beverage subsector. Research results can be practically used both for government or business decisions and for the public sector (trade associations).