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The global impact of the COVID-19 pandemic has been well documented, but there is still limited insight into the complex interaction of factors that determine its longer-term effects on the most vulnerable sectors of society. The current study therefore develops an integrated conceptual framework to investigate how consumers' fear of mortality and the perceived risk of severe illness associated with COVID-19 act as critical determinants of consumer food choices and perceived well-being.

An online survey was utilized to collect data from a sample of 407 adult, low-income consumers across Trinidad and Tobago. The PROCESS macro was used to empirically test the hypothesized relationships in a moderated mediation model.

The results confirm that an increase in the perceived risk of severe illness has a significant negative effect on the consumption of healthy foods and perceived well-being. Moreover, consumers' choice of healthy foods mediates the negative relationship between consumers' perceived risk of severe COVID-19 illness and subjective well-being. Finally, the negative relationship between perceived risk of illness and healthy food choice weakens as an individual's fear of pandemic-related mortality increases.

This research integrates multiple related theoretical constructs to provide a more nuanced understanding of the lingering impact that risk perceptions and fear have on consumer food choices and associated well-being among a vulnerable Caribbean population. The changes identified have important implications for researchers interested in consumer food preferences as well as policymakers seeking to promote a healthy lifestyle among individuals coping with psychologically stressful circumstances.

Rigid environments, those with exceptionally strong cultural and traditional barriers to change, present unique challenges for institutional entrepreneurs attempting to initiate change. We utilize such a setting to examine what support mechanisms, both individual and contextual, have been utilized when attempting change in rigid environments. We examine the case of successful and unsuccessful attempts to make golf more inclusive to women. Our research supports the claim that rigid environments require more complex combinations of support mechanisms than other settings, illustrating the importance of institutions in both enabling and constraining change in such settings.

The purpose of this paper is to shed light on the age-old trade-and-economic-growth controversy. The authors do so by utilizing the data relating to the G-20 countries between 1988 and 2013.

The authors seek to establish the formal statistical links between openness to trade and economic growth in the context of interactions with financial depth, gross capital formation, and foreign direct investment. The authors use a panel vector autoregressive model to obtain the estimates. The authors check for the robustness of the results.

The authors find that all the variables are cointegrated. That is, there is a long-run equilibrium relationship between the variables. Moreover, trade openness, financial depth, gross capital formation, and foreign direct investment are all causative factors for the economic growth of the G-20 countries in the long run. At the same time, the short-run results demonstrate that there is a myriad of causal links between these variables.

The decision makers in the G-20 countries wishing to encourage economic growth in the long run should pay close attention to trade openness, financial depth, gross capital formation, and foreign direct investment inflows to their countries.

The authors study an important group of countries over a long span of time, using advanced panel data techniques. The results demonstrate that future studies on economic growth that do not simultaneously consider trade openness, financial depth, foreign direct investment, and gross capital formation will offer biased or misguided results.

Implementing the sustainable development goals (SDGs) has proven a significant challenge for companies. While multinational enterprises (MNEs) have shown a real intention to contribute to these goals, they face major barriers in implementing the SDGs in their core business strategies. Extant academic studies on this phenomenon have primarily explored why companies “should” address the SDG agenda but have not (yet) explored what “works,” what does not “work,” and why. Therefore, evidence of a sizable gap between intention and realization is growing. Besides, there is a limited explanation for the existence of this gap and no validated implementation models that could help overcome it. Additionally, management research remains relatively fragmented. The diversity of existing theoretical and empirical frameworks makes it difficult to consolidate scientific and practical insights on “how” to guide companies to accelerate the global goals through their core operations.

This study is one of the first attempts to draw lessons from extant research on effective SDGs’ implementation strategies. For that, we upgrade the “SDG Compass,” which has been recognized as a leading framework for SDGs implementation in companies’ core activities. A critical assessment of the literature on the SDGs implementation has been conducted through a systematic literature review (SLR) and bibliometric analysis. This has helped us identify gaps in the SDG implementation practice and accumulate relevant insights supporting a more integrated and upgraded implementation framework: the SDG Compass+. This framework can advance coordinated theoretical and practical research by identifying the antecedents and critical factors of impactful SDG implementation strategies.

This double volume presents a collection of 23 papers on how institutions matter to socio-economic life. The papers delve deeply into the practical impact an institutional approach enables, as well as how such research has the potential to influence policies relevant to critical institutional changes unfolding in the world today. In Volume 48A, the focus is on the micro foundations of institutional impacts. In Volume 48B, the focus is on the macro consequences of institutional arrangements. Our introduction provides an overview to the two volumes, identifies points of contact between the papers, and briefly summarizes each contribution. We close by noting avenues for future research on how institutions matter. Overall, the volumes provide a cross-section of cutting edge institutional thought and empirical research, highlighting a variety of fruitful directions for knowledge accumulation and development.

This column has always intended to provide in‐depth, comparative reviews of abstracting services, indexes, serial bibliographies, yearbooks, directories, almanacs and other serial tools which would normally be housed in reference departments. For the purposes of this column, reference serials are materials which must meet two rather flexible requirements: they must be useful as reference sources and they must be issued as serials or be titles which are superseded periodically by new editions.

This paper aims to report on the bibliometric research trends on the application of machine learning/intelligent systems in the prediction of food contamination and the surveillance of foodborne diseases.

In this study, Web of Science (WoS) core collection database was used to retrieve publications from the year 1996–2021. Document types were classified according to country of origin, journals, citation and key research areas. The bibliometric parameters were analyzed using VOSviewer version 1.6.15 to visualize the international collaboration networks, citation density and link strength.

A total of 516 articles across 6 document types were extracted with an average h-index of 51 from 10,570 citations. The leading journal in publications was Science of the Total Environment (3.6%) by Elsevier and the International Journal of Food Microbiology (2.5%). The United States of America (USA) (24%) followed by the People's Republic of China (17.2%) were the most influential countries in terms of publications. The top-cited articles in this study focused on themes such as contamination from packaging materials and on the strategies for preventing chemical contaminants in the food chain.

This report is significant because the public health field requires innovative strategies in forecasting foodborne disease outbreaks to advance effective interventions. Therefore, more collaboration need to be fostered, especially in developing nations regarding food safety research.

This study aims to explore the interrelationships among quality and safety metrics within the Global Food Security Index (GFSI). Its primary objective is to identify key indicators and their respective influences on food security outcomes, thereby enriching comprehension of the intricate dynamics within global food security.

The analysis encompasses data from 113 countries for the year 2022, utilizing Bayesian Belief Network (BBN) models to identify significant drivers of both the GFSI and quality and safety dimensions. This methodological approach enables the examination of probabilistic connections among different indicators, providing a structured framework for investigating the complex dynamics of food security.

The study highlights the critical role of regulatory frameworks, access to clean drinking water, and food safety mechanisms in fostering food security. Key findings reveal that “nutrition monitoring and surveillance” has the highest probability (75%) of achieving a high-performance state, whereas “national dietary guidelines” have the highest probability (41%) of achieving a low-performance state. High GFSI performance is associated with excelling in indicators such as “access to drinking water” and “food safety mechanisms”, while low performance is linked to underperformance in “national dietary guidelines” and “nutrition labeling”. “Protein quality” and “dietary diversity” are identified as the most critical indicators affecting both the GFSI and quality and safety dimensions.

This research operationalizes a probabilistic technique to analyze the interdependencies among quality and safety indicators within the GFSI. By uncovering the probabilistic connections between these indicators, the study enhances understanding of the underlying dynamics that influence food security outcomes. The findings highlight the critical roles of regulatory frameworks, access to clean drinking water, and food safety mechanisms, offering actionable insights that empower policymakers to make evidence-based decisions and allocate resources effectively. Ultimately, this research significantly contributes to the advancement of food security interventions and the achievement of sustainable development goals related to food quality and safety.

Greenfields are new plants, typically but not exclusively manufacturing, that belong to an existing organization; as such, they offer an organizational strategy for understanding knowledge transfer. Greenfields are important to understand because they offer advantages for expansion into new economic and labor markets. But the overall challenges starting up a new greenfield cannot be overlooked. The aim of this paper is to try to better understand how knowledge transfer occurs in these interesting team operations.

Plant and human resource managers representing 33 greenfield organizations from food and beverage, consumer products, heavy manufacturing, pharmaceutical and automotive industries were contacted. Managers discuss greenfield rationale, vision, work practices, and business characteristics. Both opportunities and risks are described, along with examples from the research literature.

Greenfields can be successful as experiments in knowledge transfer but are unlikely by themselves to create large‐scale organizational change. Greenfields offer long‐term potential if team work practices and culture can be sustained and ultimately transferred to other parts of the organization, but this requires strong senior management support.

Opportunities and risks involved in greenfield start‐ups are discussed, along with practical examples from managers from diverse industries.

This paper helps to fill the gap between greenfield promise and reality.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.