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Numerous research articles and industry reports are currently available that deal with global sourcing, however, few articles and reports can be specifically found on sourcing packaging materials in the consumer packaged food (CPF) industry. The purpose of this paper is to understand and develop the supplier selection process and overall cost modeling that facilitates the selection of a high‐quality global supplier for low‐cost packaging materials used in large quantities for CPF products.

To gain information relating to packaging material sourcing, a comprehensive literature search was conducted. Additionally, interviews with packaging material sourcing managers and directors were performed at a major global CPF products manufacturer. Knowledge gained from literature, industry interviews and available business data was used to develop a generic strategic outsourcing model and a closed loop business framework for selection of global suppliers of packaging material. This framework utilizes the proposed total cost of ownership model for global sourcing and weighted qualitative criteria matrix demonstrating how it is used in global supplier selection.

The results of this study show a standardized supplier selection process and the total cost of ownership model for a CPF manufacturer which incorporates the different logistic costs such as tariffs, duties, inventory carrying levels and cost of quality. These two models are then merged into a selection matrix to determine with which supplier to enter into a long‐term supply relationship.

The paper combines both the relevant closed loop supplier selection modeling framework and the total cost of ownership model in the selection of supplier for low‐cost high‐volume CPF materials. It adds rigor regarding cost of ownership and emphasizes the need for a strategic rationale when entering into long‐term global supply relationships between CPF products manufacturers and packaging material suppliers.

This study aims to investigate the response of green investments of emerging countries to own-market uncertainty, oil-market uncertainty and COVID-19 effect/geo-political risks (GPRs), using the tail risks of corresponding markets as measures of uncertainty.

This study employs Westerlund and Narayan (2015) (WN)-type distributed lag model that simultaneously accounts for persistence, endogeneity and conditional heteroscedasticity, within a single model framework. The tail risks are obtained using conditional standard deviation of the residuals from an asymmetric autoregressive moving average – ARMA(1,1) – generalized autoregressive conditional heteroscedasticity – GARCH(1,1) model framework with Gaussian innovation. For out-of-sample forecast evaluation, the study employs root mean square error (RMSE), and Clark and West (2007) (CW) test for pairwise comparison of nested models, under three forecast horizons; providing statistical justification for incorporating oil tail risks and COVID-19 effects or GPRs in the predictive model.

Green returns responds significantly to own-market uncertainty (mostly positively), oil-market uncertainty (mostly positively) as well as the COVID-19 effect (mostly negatively), with some evidence of hedging potential against uncertainties that are external to the green investments market. Also, incorporating external uncertainties improves the in-sample predictability and out-of-sample forecasts, and yields some economic gains.

This study contributes originally to the green market-uncertainty literature in four ways. First, it generates daily tail risks (a more realistic measure of uncertainty) for emerging countries’ green returns and global oil prices. Second, it employs WN-type distributed lag model that is well suited to account for conditional heteroscedasticity, endogeneity and persistence effects; which characterizes financial series. Third, it presents both in-sample predictability and out-of-sample forecast performances. Fourth, it provides the economic gains of incorporating own-market, oil-market and COVID-19 uncertainty.

The politically unstable economies have high and volatile sovereign spread. The purpose of this paper is to investigate the impact of geopolitical uncertainty on sovereign bond yields.

The sovereign yields at various maturities were decomposed into three factors, namely, level, slope and curvature, using the Dynamic Nelson Siegel model. The relationship between geopolitical uncertainty and the yield curve factors was examined using a quantile causality test.

The study found that at the extreme high-rate regime, geopolitical uncertainty causes the yield curve factors positively, indicating bond investors demand a higher return for geopolitical uncertainty. On the other hand, during extreme low-rate regime geopolitical causes the short- and medium-term factors negatively. The extreme low-rate regime indicates the period of economic slowdown. During this regime, the central banks try to reduce the short-term rates to stimulate growth.

This is one of the few papers that investigates the relationship between the geopolitical risk and sovereign bond yields at the various maturities and interest rate regimes. Understanding the relationship between the geopolitical risk and short-term rates would help the central banks the efficacy of their policy actions. The long-term rates are influenced by the global investor preferences; examining the relationship with the long-term rates would help the investors frame the trading strategies.

The purpose of this paper is to examine the sensitivity of the Kuwait housing market to major local and regional geo-political and economic events.

This paper examines the market dynamics of the housing market in Kuwait. Kuwait provides an interesting market to consider owing to its position as a major oil producer, its sensitivity to geo-political events and its unusual demographic characteristics.

The error-correction model highlights that market is relatively volatile, with evidence of mean-reverting behaviour. Only when the data is smoothed are their more consistent findings with respect to underlying fundamentals. This paper also examines the response of the market to seven regional and local events. Of particular interest is that the one event that results in a consistent significant response is domestic legislation directly concerned with housing. This has a far greater impact than local or regional geo-political events.

Very few papers have considered how economic and political shocks directly impact housing markets using an event study approach. Given its geographic location and also its economic dependence on oil, Kuwait is an interesting market to consider.

This study examines the impact of expanded geographical disclosures on nonprofessional investor judgments. Public country-by-country reporting (CBCR) is a way to increase corporate transparency, enhancing tax fairness and accountability (European Commission, 2016). Public disclosure would make large multinational companies share information about profits, taxes paid, and number of employees on a per-country basis. However, it is unclear whether nonprofessional investors would even use CBCR and how they would interpret the information. Adding to the policy debate on whether publicly available country-by-country information will be properly used, this study employs an experimental design to investigate the effect of disclosure availability and content on nonprofessional investor judgments. We find that participants receiving an expanded disclosure are able to more accurately assess the state of the social contract between the organization and society, imposing sanctions if necessary. Exploring CBCR provides timely evidence to regulators, standard setters, and tax fairness campaigners on the impact of expanded geographical disclosures as a means of increasing transparency and improving competitiveness.

The purpose of the present study is to contribute to the existing literature by examining the nexus and the connectedness between classes S&P Green Bond Index, S&P GSCI Crude Oil Index, S&P GSCI Gold, MSCI Emerging Markets Index, MSCI World Index and Bitcoin, during the pre-and post-Covid period beginning from August 2011 to July 2021 (10 years).

The study employs time-varying parameter vector autoregression and Quantile regression methods to understand the impact of events on traditional and upcoming asset classes. To further understand the connectedness of assets under consideration, the study used Geo-Political Risk Index (GPR) and Global Economic Policy and Uncertainty index (GPEU).

Findings show that these markets are strongly linked, which will only expand in the post-pandemic future. Before the pandemic, the MSCI World and Emerging Markets indices contributed the most shocks to the remaining market variables. Green bond index shows a greater correlation and shock transmission with gold. Bitcoin can no longer be used as a good hedging instrument, validating the fact that the 21st-century technology assets. The results further opine that under extreme economic consequences with high GPR and GPEU, even gold cannot be considered a safe investment asset.

Financial markets and the players who administer and communicate their investment logics are heavily reliant on conventional asset classes such as oil, gas, coal, nuclear and allied groupings, but these emerging asset classes are attempting to diversify.

Resilience is a fundamental component of healthcare supply chains, as the quality and endurance of human life are dependent on them. However, there are numerous resilience-building measures, and there is a need for prioritization of those strategies. This research study aims to prioritize resilience strategies for healthcare supply chains while considering the risks that most severe, probable to occur and have the lengthiest periods of recovery.

This research study has used multi-criteria decision-making (MCDM) techniques for analysis. Initially, the criteria for prioritization of risks, i.e. severity, probability of occurrence and recovery time were assigned with importance weights through the fuzzy analytical hierarchy process (AHP). Then, these weights were used in the fuzzy technique for order preference by similarity to ideal solution (TOPIS) analysis for prioritization of risks. Subsequently, the identified risks were used for highlighting the appropriate resilience strategies through the fuzzy quality function deployment (QFD) technique.

Results indicate that Industry 4.0, multiple sourcing, risk awareness, agility and global diversification of suppliers, markets and operations are the most significant resilience strategies.

This study's limitation is that it is conducted in a general perspective, rather than reducing the context to a developing or developed country. Different areas have variable market factors, due to which potential risks occur in a different form. Moreover, resilience strategies work differently in different environments. Therefore, for future endeavors, the studies should be carried out in a limited context.

This research study proposes a novel MCDM-based approach for ranking resilience strategies, in light of the most probable, severe and long-lasting risks. In addition, this approach has been employed for the enhancement of resilience in healthcare supply chains.

The purpose of this article is to propose a process which ensures boards make risk pay off by identifying and selecting opportunities which more than compensate for the risks assumed. Organizations are increasingly under threat from factors such as globalization, regulations, and technology. Given this, the biggest challenge boards' face is to competently manage these opportunities and risks. Although boards can benefit from fully integrating risk management into the strategy formulation process, survey evidence shows most have not done so.

This article draws from the confluence of the risk management, strategy formulation and board governance streams to illustrate how boards can enhance performance by integrating strategy formulation and risk management into a single process.

Given that many boards formulate strategy and manage risk separately, organizations can gain a competitive advantage by managing them in an integrative fashion. Boards that integrate strategy formulation and risk management should achieve higher stakeholder returns and be more adaptive than rivals.

Boards need to adopt strategies for their organizations which create the desired amount of stakeholder value within acceptable risk levels. Boards can only ensure this occurs if the opportunities and risks are discussed as part of the same process. Only with full knowledge of the opportunities and risks, as well as the risk management responses, can boards ensure management are recommending optimal strategies for their organizations.

This article outlines a process which ensures boards are adequately addressing risk when selecting strategies for their organizations.

This study aims to investigate the extent of Shariah compliance in wakalah sukuk and Shariah non-compliant risk disclosure in the sukuk documents and to analyse the risk management techniques associated with the disclosed risks.

This study uses qualitative document analysis as both data collection and analysis methods. The document analysis acts as a data collection method for 23 wakalah sukuk documents selected from 32 issuances of wakalah sukuk from 2017 to 2021. These sukuk documents were selected based on their availability from relevant websites. Document analysis, both content analysis and thematic analysis, were used to analyse the data. Codes were grounded from that data through keywords search of Shariah noncompliant risk and its risk management. Besides these, interviews were also conducted with four active industry players, i.e. two legal advisors of wakalah sukuk, a wakalah sukuk trustee and a sukuk institutional issuer. These interview data were analysed based on categorical themes, on the aspects of the extent of Shariah compliance in sukuk, and the participant’s views on the risk management techniques associated with the risks or used in the sukuk documents.

Overall, the findings reveal three types of Shariah non-compliant risks disclosed in the sukuk documents and seven risk management techniques associated with them. However, the disclosure and the risk management techniques can be considered minimal in contrast to the extent of Shariah compliance in a sukuk, i.e. Shariah compliance at the pre-issuance stage, ongoing stage and post-issuance stage. On top of these, it was also found from the interviews that not all risk management techniques are workable to manage Shariah non-compliant risk in sukuk. As a result, these findings suggest rigorous reviews of the existing Shariah non-compliance risk (SNCR) disclosures and risk management techniques by the relevant parties.

Sukuk documents used in the study are limited to corporate wakalah sukuk issued in Malaysia. Out of 32 issuances from 2015 to 2021, only 23 documents are available in relevant website. Thus, Shariah non-compliant risk disclosure and its risk management techniques analysed in this study are only limited in those documents.

The findings of this study suggest rigorous reviews on the existing Shariah non-compliance disclosures and risk management techniques. Other than these, future research in relation to uncommon risk management clauses, i.e. assurance, Shariah waiver and transfer of risk, are needed.

The insights presented in the analysis are of importance to sukuk issuers and the sukuk due diligence working group in enhancing the sukuk Shariah compliance and Shariah non-compliant risks disclosure and towards sukuk investors, in capturing and assessing Shariah non-compliant risks in a sukuk and to assist them to make informed investment decisions. More importantly, this study has found few areas of future study in relation to SNCR disclosures and SNCR risk management techniques.

Companies face a wide number of risks and need to have in place appropriate measures and techniques to be able to identify, manage, and monitor risks. Risk management is a fundamental responsibility of the corporate governance structure of an organization; it means managing all risks on a holistic basis, all together rather than just one, through an appropriate and systematic process. This chapter provides an overview of enterprise risk management in the United Kingdom. It presents key information on the economic system of the United Kingdom, emphasizing the role of small and medium enterprises, and presents country macroeconomic highlights. It provides a summary of regulation, practices, and authorities; it presents the key milestones of the regulation on corporate governance and reporting in the United Kingdom, and stresses the importance of corporate governance mechanism in companies' enterprise risk management practices. Further, it discusses the importance of transparency and disclosure in the context of enterprise risk management, specifically the relevance of risk management and internal control related disclosure in the annual reports and accounts. Finally, it reviews the growing academic research on enterprise risk management and previous studies on risk disclosure practices in companies' reports.