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Trade can be severely impacted by economic crisis whatever might have been the trigger. Protectionist tendencies are also normally on the rise during such times having further impact on trade and associated variables. In this chapter, an attempt has been made to assess the impact of economic crisis on international trade. Three episodes of crisis have been picked up for the same, the oil crisis of early 1970s, the global financial crisis (GFC) of 2007–2008, and the COVID-19 crisis of 2019. Each episode is triggered by different factors. Do the differing triggers ultimately lead to different impact on trade? This chapter first tries to answer this question at aggregate trade level and then across country groups and product groups. Interesting trends are observed. Across product groups, both agricultural and manufacturing goods exports were more impacted during the GFC, whereas for services exports, the impact was severe during the COVID-19 pandemic. Across country groups, the high-income countries were more impacted during the first two episodes, whereas the less-developed countries (LDCs) were more impacted during the pandemic. Further, a gravity model estimation was attempted to empirically measure the effects of crisis for the world as a whole and for India and China separately. All country bilateral trades were significantly impacted by the three episodes. After controlling for the relevant factors for India and China, certain differences in impact are observed. China seems to be less impacted by destination country factors.

Prior studies have found that managers adjust operational activities to tackle climate risk. However, the effects of climate risk on accounting practices are largely ignored in the literature. This paper investigates whether and how climate risk influences managers’ decision-making on the level of accounting conservatism and explains the results based on two competing channels: valuation demand and contracting demand.

Using firm level climate risk measures, we build a modified Basu (1997) model to conduct our econometric tests. In the baseline model, we use earnings before extraordinary items as the dependent variable, referred to as the earnings model. We control for different levels of fixed effect to identify the shocks of climate risk and mitigate potential concerns on endogeneity and bias in the model. A series of robustness tests provide supporting evidence for our baseline results and our explanation.

Using a sample of 35,832 firm-year observations on listed US firms over the period 2002 to 2019, we find that the perception of climate risk drives managers to choose the less conservative accounting policies. We conclude that the results are consistent with the valuation demand explanation but inconsistent with the contracting demand explanation.

The study provides additional evidence on how managers respond to climate risk by adjusting their corporate polices, specifically accounting policies. Our findings contradict the results of prior studies. We explain our results from a unique perspective. Overall, the study provides valuable insights for academics, investors, managers and policymakers.

This study analyzed the impact on the persistence of Chilean university students who had received a government-guaranteed loan (CAE).

Using academic and administrative data from 2016 to 2019, provided by 11 Chilean universities, a discrete-time survival model was constructed. The model was based on data of 5,276 students in the 2016 cohort and included sociodemographic variables, academic background prior to entering university and academic performance once in university. As a robustness check of our results to observable confounding, the analysis was repeated using a control group constructed using propensity score matching (PSM).

The results reveal that students who receive a bank loan (CAE) were more likely to remain in undergraduate studies for at least the first two years of university, as opposed to their peers who did not receive financial aid. In addition, they show the importance of academic performance in retention.

The article advances in the identification of the impact of bank loans on permanence. Although previous research has evaluated the impact of the CAE, it has been conducted on small samples of students. These studies also lacked student records associated with their academic performance at the university. The present research overcomes both weaknesses, allowing us to estimate the impact of the CAE on a larger population of students that is representative of the system.

Cataract, or lens opacification, is a major public health burden accounting for more than half of all blindness worldwide. Plant-based dietary indices provide a unique approach to investigating a modifiable risk for age-related cataracts (ARC). The purpose of this study was to investigate the association between plant-based diet indices and risk of ARC.

This case-control study was conducted on 97 patients with newly diagnosed ARC and 198 healthy people (as a control group) in Iran. Convenience sampling and a food frequency questionnaire were used. Three plant-based dietary indices were used based on the health promoting qualities of food items, the overall plant-based diet index (PDI), healthful plant-based diet index (H-PDI) and unhealthful plant-based diet index (U-PDI) which comprised refined carbohydrates and highly processed foods. The plant-based dietary indices were used to investigate relationships with risk of ARC.

After adjusting for potential covariates, no significant association between a higher adherence to O-PDI and risk of ARC. As well, a higher adherence to H-PDI was inversely associated with the risk of ARC (OR = 0.35,95%CI:0.16–0.78). In contrast, there was a significant positive association between a higher adherence to U-PDI and the risk of ARC (OR = 3.67,95%CI:1.66 – 8.15).

The findings of this study have underscored the potential impact of the quality of plant-based food selections on the likelihood of developing ARC. Therefore, adopting a plant-based diet that is rich in nutrient-dense plant-based foods while being low in unhealthy options may have the potential to reduce the risk of ARC.

This paper aims to examine the image realism effect, studying how changing the front-of-package visual affects the acceptance of an insect-based food by consumers. By comparing reactions to realistic and less realistic images of an insect as an ingredient, this research investigated how visual imagery can affect consumers’ responses, reducing perceived disgust or increasing expected taste.

Three experiments studied the impact of realistic (photo) versus less realistic (drawing) images for two types of insects (mealworm, cricket) on consumers’ psychological distance from the image, perceived disgust, expected taste, willingness to eat, purchase intention and food choice.

Study 1 demonstrates that using a less realistic insect image reduces perceived disgust, with psychological distance from this image and perceived disgust mediating realism effect on willingness to eat. Study 2 shows that a less realistic insect image, perceived as more remote, improves expected taste and willingness to eat. Study 3 confirms the results by measuring behavior: consumers were more likely to choose the product with the less realistic image.

The research focused on one kind of product and two ways of depicting this product, limiting the generalizability of the findings for other visual representations and product categories.

The findings suggest how brand managers can use the image realism effect on the packaging of novel, sustainable products to influence consumers, reducing their disgust and increasing their expected taste.

This research breaks new ground by explaining how visual cues on packaging affect the acceptance of insect-eating, drawing on construal level theory.

Knowledge is the source of competitive advantage, but when shared at all levels. Unfortunately, there is a universal unruly present in the form of knowledge hiding at employees’ level, but the causes and remedies are still vague as past studies have rarely investigated the causes of daily knowledge hiding behavior. Against this backdrop, this study aims to entail a daily diary method investigation of the role of daily abusive supervision in daily employees’ knowledge hiding through the mediation of dehumanization and moderation of psychological capital.

The data for this study is collected using a daily diary method approach, which estimates the daily workplace events and their continuous influence on employees’ feelings (i.e. dehumanization) and actions (knowledge hiding). The daily responses of 279 respondents were considered useful for analysis purposes.

The findings of the study revealed that the daily events of abusive supervision have both direct and indirect (through dehumanization) influence on employees’ daily knowledge hiding behavior. Moreover, psychosocial capital has a significant conditional influence in the relationships of negative workplace treatments (abusive supervision and dehumanization) and their outcomes (i.e. knowledge hiding).

The study provides some theoretical and practical insights by providing the explanatory and coping mechanism between continuous abusive supervision and daily knowledge hiding behavior.

There is a dearth of literature that has focused on daily episodes of abusive supervision, dehumanization and knowledge hiding behavior. Furthermore, the moderating role of psychological capital has also been rarely investigated.

The primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.

This study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.

The research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.

Major contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.

This paper examines open innovation (OI) based on sustainability principles within the agri-food sector. The study aims to understand the interplay between different actors and develop a typology of their roles in fostering sustainability. Three key research questions guided our inquiry: “WHY” sustainability is driving the OI initiatives as presented by companies, “WHO” participates in OI interactions and “HOW” these interactions are structured among diverse agri-food actors.

Through a theoretical prism encompassing OI modes, types, practices, sustainability dimensions and multilevel perspectives, we analyzed 78 agri-food sustainable OI initiatives, as described by the companies, to identify and explain why, who and how they engage in OI to drive sustainability shifts.

The results reveal typical patterns of transaction and cooperation between actors and confirm the collaborative nature of sustainable OI in the agri-food sector when actors must transcend traditional economic boundaries and reshape both the internal performance culture and the broader industrial or community mindset. The paper also conceptualizes the roles of actors in co-creating value in the context of sustainable food transitions.

This study brings the theoretical lenses of OI to conceptualize the collaborative nature of sustainability transitions in the agri-food system. The focus on sustainability transitions is dominantly placed on innovators at the niche level, while incumbents tend to be depicted as protecting the status quo. Thus, the focus on the collaborative interplay among different actors engaged in OI for sustainability contributes to offering a more nuanced view of innovation in sustainability transitions. In turn, the development of a typology of actors, motivations and configurations of OI from sustainability transition perspectives contributes to strengthening the conceptualization of sustainable value co-creation in the OI realm.

To measure the dynamic features of compassion as an emotional and behavioral construct, the present research used a univariate latent growth modeling (LGM) approach within the structural equation modeling (SEM) framework. The aim was to trace the dynamic development of compassion longitudinally in accounting and business students during a three-credit English course at university.

The suggested method ensures the measurement invariance over time, deals with the first order latent variable, traces its growth and takes into account the measurement errors. This longitudinal analytical method was used to explore the initial state and the growth of compassion in four points of time during a language course. The data were collected from 60 adult accounting and business students in four time phases using Sprecher and Fehr's Compassionate Love Scale and were analyzed in Mplus 8.4 with univariate LGM.

The model fit was accepted and the invariance of the latent factor was confirmed over time. The negative covariance between intercept and slope (second-order latent variables) suggested that lower initial scores in L2 learners' compassion show a faster increase in compassion over time as the mean of slope is larger than that of the intercept. L2 learners who started off at a higher level of compassion showed a slower change in compassion over time. This can be at least partly explained by the teacher's motivating role or learners' compassion but needs to be further explored in complementary qualitative phases for deeper insights.

In the present research, awareness was raised of the developmental nature of compassion as an emotional and behavioral construct essential to the accounting and business profession. The great strength of this research lies in the dynamic approach to the compassion construct and the LGM used to capture the temporal growth of compassion and how it evolved through the L2 course.