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Milk is one of the most produced, consumed and protected agricultural commodities worldwide. The purpose of this paper is to assess how trade-opening policies can foster food security in the Chinese milk sector.

The empirical evidence proposed in our paper is based on time series data from the National Bureau of Statistics of China (2019) and FAOSTAT (2020). Differences in income elasticity between urban and rural areas are estimated by OLS regressions. The data also provide empirical evidence to assess to what extent and to which countries China is resorting to meet its growing demand.

Per-capita milk consumption of Chinese is rising. The authors’ estimates show that milk income elasticity is higher in rural areas. China is also progressively increasing its dependence on imports. Producers who benefit the most are those from countries implementing trade-opening policies.

Other methods could be applied, by way of example, the gravitational model.

Trade agreements and the removal of barriers could be effective responses to protectionist pressures and to food security concerns.

The case examined is of particular interest as it intervenes on food security and safety.

The paper adds value and evidence to the effects of trade on food security in a country with limited and exploited natural resources addressing a health emergency and environmental concerns.

Recently, several areas are successfully applying the Lean Six Sigma methodology, specifically in healthcare, public services, higher education institutions and manufacturing industries. This study aims to present an extensive literature review involving Lean Six Sigma practical applications in the last five years, described in a case studies format.

A systematic literature review was conducted, and 39 articles were selected and analyzed.

An increase in Lean Six Sigma applications in healthcare and higher education institutions was identified. Furthermore, Lean Six Sigma is effectively applied in several areas and is continuously used in traditional industries. The main critical success factor identified was leadership and management involvement, project management and organizational infrastructure, as well as training and education. Also, the main difficulties found are related to the organization's culture and developing communication with leaders and managers.

The main difficulties found in this research are related to the lack of data presented in some articles analyzed, where only information about how the Lean Six Sigma application was conducted is shown, not mentioning difficulties or success factors identified.

Case studies are fundamental to help popularize Lean Six Sigma applications, showing a real-life scenario of how the methodology is implemented, the main difficulties encountered and critical success factors found. Thus, the value of this study is promoting and developing research involving Lean Six Sigma case study applications to guide new researchers and practitioners on the subject.

A perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. The purpose of this paper is to investigate the perception gap among service supply chain partners relating to the relative importance of key performance indicators (KPIs) and the association of this gap with service performance.

This paper presents an integrative framework that combines statistical methods and data envelopment analysis for computing perception and performance gaps, and for identifying the association between the gaps. The study follows a middle-range theorizing research approach where general inferences are induced from instances, and a theory can be developed from the observation of empirical reality.

Analysis of data from a leading global insurance service supply chain suggests that perception gap exists and can be recognised as a factor associated with performance gaps. The results suggest that the perception gap not only affects performance but can also be tracked as a meta-KPI to improve performance throughout the service supply chain.

The key implication of the presented research is that service companies can identify and resolve the differences in perceptions regarding the importance of the KPIs, by methodologically computing the gaps and tracking them as meta-KPIs.

The study extends the theoretical boundary of supply chain performance management by introducing the perception and performance gaps as novel meta-KPIs. These meta-KPIs can be computed through the integrative framework developed in the study.

People are increasingly concerned about food and health and are seeking enriched products. One way to add nutritional value to yogurt consists of the addition of nutritional flour. However, it is necessary to optimize formulations that meet the consumers’ expectations. Thus, the purpose of this paper is to aim at sensory optimization of a strawberry yogurt enriched with different flours.

The optimal concentrations of each flour were defined using the Just-about-right-scale test. Then, an acceptance test was used to assess the samples at optimal concentrations.

It was observed that the strawberry yogurt should include 1.275 percent golden flaxseed flour, 1.093 percent green banana flour, 1.075 percent eggplant flour and 3.420 percent oatmeal flour. All formulations had good acceptability and the yogurt added with the addition of golden flax flour and the traditional product received similar sensory acceptance. Thus, it is possible to add nutritional value to strawberry yogurt by maintaining its sensory quality.

More detailed studies on the shelf-life of yogurt are necessary to enable the incorporation of flours into yogurt as heat, light and oxygen can reduce the beneficial effects of flours. Therefore, researchers should test the proposed propositions further.

Optimization of an enriched yogurt is a good alternative to provide a product that meets consumers’ expectations, besides adding value to the product. However, there are technological challenges when adding functional components in foods. Thus, this study aimed at sensory optimization of a strawberry yogurt enriched with different flours.

The authors aimed to provide a healthy product to the market as well as contribute toward product variety in the market.

There are few studies in respect to the sensory aspects of enriched yogurts. Therefore, this work will aid future studies, supporting the optimization of functional products and contributing toward product variety in the market.

This study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an environmental management system, affect firm performance in the context of the Industry 4.0 supply chain.

The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers, partners and customers) in Microsoft's supply chain.

Results of this study show the following: (1) the application of ISO 14001 will reduce profitability but increase overall performance (OP); (2) ESG implementation has a convex U-shaped influence on profitability and OP, which means that firms will benefit when ESG investment goes beyond a particular level; (3) the nonlinear U-shape is presented in the E and G components, but not in the S of the individual ESG initiatives, and (4) only specific subcomponents of S and G in the subcomponent of individual ESG initiatives are nonlinearly connected to OP. Research's results reveal that the customer group has a higher performance value than the other two groups, which suggests that this group will create competitive advantages for Microsoft.

Overall, the authors provide an insightful viewpoint into supply chain management by examining the ESG initiatives, ISO 14001 and performances of Microsoft's supply chain.

The purpose of this paper is to investigate the direct and indirect relationship between board gender diversity and corporate tax avoidance using corporate social responsibility (CSR) as a mediating variable.

This study uses a panel dataset of 200 French firms listed during 2007–2018 period. The direct and indirect effects between board gender diversity (BGD) and tax avoidance were tested by using structural equation model analysis.

The results indicate that the presence of women on corporate boardrooms negatively affects tax avoidance. The greater the proportion of women in boards, the lower the likelihood of tax avoidance practice. In the mediation test, CSR appears to partially mediate the link between women on boards and corporate tax avoidance. Additional analysis shows that the social dimension of CSR produces this mediating effect.

The results have practical implications for companies in regulating the composition of their boards. To benefit from diversity, firms have to increase women‘s percentage in their boards of directors. Also, investors are encouraged to pay attention to the percentage of female directors when investing and purchasing shares.

This study proved empirically that the higher proportion of female directors significantly reduces the possibility of tax avoidance either directly or indirectly through enhancing CSR performance. The findings show that firms with gender diversified boards are more likely to get involved in CSR for hedging against the potential consequences of aggressive tax avoidance practices. In light of the above results, firms are well-advised to strongly apply the policy encouraging or mandating women as board members to take advantage of their expected benefits.

The originality of this paper consists in proposing the establishment of both direct and indirect relationships between BGD and corporate tax avoidance through CSR. Unlike prior studies that have been examining the direct relationship between corporate governance mechanisms and corporate tax avoidance, this study went further to investigate the indirect relationship between these two constructs. This study also differs from prior studies as it examines the effect of BGD on each of constituting pillars of CSR, namely, environmental, social and governance. To date, an extensive part of CSR research has used the combined score of CSR, but the effects on different CSR pillars remain little investigated.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

The coronavirus (COVID-19) is the worst pandemic in recent memory in terms of its economic and social impacts. Deadly second wave of COVID-19 in India shook the country and reshaped the ways organizations functions and societies behave. Medical infrastructure was unaffordable and unsupportive which created high distress in the Indian society, especially for poor. At this juncture, some pharmaceutical firms made a unique social investment when they reduced price of drugs used to treat COVID-19 patients. This study aims to examine how the market and the society respond to the price reduction announcement during the psychological distress of COVID-19.

Market reactions have been analyzed by conducting an event study on stock market data and visual analytics-based sentiment analysis on Twitter data.

Overall, this study finds positive abnormal returns on the day and around the day of event. Interestingly, this study finds that returns during the time of high distress are significantly higher. Sentiment analysis conveys that net sentiment is favorable to the pharmaceutical firms around the day of event and it sustains more during the time of high distress.

This study is unique in contributing to the business and industrial management literature by highlighting market reactions to social responsibility of business during the time of psychological distress in emerging economies.

Implementing the 17 Sustainable Development Goals (SDGs) unarguably demands huge financial investments. However, the United Nations has acknowledged the huge financial gap militating against the implementation of the SDGs worldwide, leading experts to question the possibility of complete implementation of the goals by their terminal dateline of 2030. While the bulk of the finance currently outlaid on the SDGs comes from traditional sources including foreign direct investments (FDIs), there is the need to focus more attention on developing and exploiting impact investments that are more suitable for financing development programmes and projects. In this chapter, the SDG implementation profiles of the 12 Arab West Asia countries concerning the five most targeted SDGs were evaluated and sustainable finance issues were discussed. Secondary data were retrieved from World Bank's DataBank. The data were descriptively analyzed. Based on the profiles generated, debt relief is put forward as a possible impact investment mechanism suitable for funding the SDGs. Specifically, this chapter recommends that outright cancellation of debts based on the debt-for-SGD swap could serve as some of the impact investments needed to boost the global drive for a developed, peaceful, and just world.

The purpose of this paper is to investigate whether social relations are associated with the health of workers. It uses two types of health status measures – self-reported and more objective health – and it considers two types of social relationships: individual social relations, measured through the frequency of meetings with friends; and contextual social relations, the average frequency with which people meet friends at the community level.

A probit model is estimated from the worker sample accounting for the possibility of selecting individuals in the labour market (selection equation). Then expanded probit models (including inverse Mills ratio) are used on both self-reported and more objective health measures using new data from an income and living conditions survey carried out in 2006 by the Italian Statistics Office. Robustness checks are employed to deal with possible problems when interpreting the results.

The study finds that social relations are correlated with health status of workers with differences among health outcomes. Social relations at the individual level are positively correlated with self-perceived health (SPH), negatively associated with chronic condition (CC) but not related to limitations in daily activities. Contextual social relations are negatively linked with CC and limitations in daily activities but not correlated with SPH.

Although the results are consistent with the argument that individual and contextual social relations influence workers’ health, the author cannot prove causality.

Improving the health of workers could reduce health inequalities and could increase work performance. The implication at a macro-economic level of an improvement in the health conditions of workers is relevant in Italy, where the level of labour productivity is low compared to the other developed countries (OECD, 2013). Policy makers should consider the benefits, both at social and economic level, of public policies designed to improve the social and physical infrastructure of social relations.

This paper is the first to relate individual and contextual social relations simultaneously to workers’ health. Moreover, it makes several other contributions to this area: it control for unobserved worker heterogeneity; it uses both subjective self-reported health as well as a more objective measure of health based on CC and limitations in activities of daily living; it adopts a multilevel approach to examine in the same framework the individual and contextual relationship of social relations with individual health status of workers, in so doing, filling a gap in the literature on social capital and public health.