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The purpose of this study is to analyse the effects of Covid-19 on the supply chain management and to provide an agenda for future research in this context.

By using the SCOPUS database, a total of 191 articles of 1,323 research articles were selected for further analysis. Bibliometric analysis and science mapping were performed which included author influence, affiliation statistics, keywords, citations, co-citation and co-word analysis.

Five clusters were identified in the context of supply chain management under Covid-19: managing disruptions in global food supply chains (SCs), using Industry 4.0 technologies for sustainable SCs, collaboration across the supply network for contingency situations, coping with disease outbreaks in personal and professional lives and countering the ripple effect of pandemics. These clusters are potential areas for future research.

Literature is still rare about SC practices amid the Covid-19 crisis. Therefore, this study attempts to provide insights and fill the current gaps on this field.

Previous research indicates that vitamin D and omega-3 co-supplementation may benefit overall health, but current evidence regarding its effects on lipid profile remains unclear. The present systematic review and meta-analysis aimed to examine the effects of vitamin D and omega-3 co-supplementation on lipid profile (total cholesterol [TC], low-density lipoprotein [LDL], triglyceride [TG] and high-density lipoprotein [HDL]) in adults.

In this systematic review and meta-analysis, relevant studies were obtained by searching the PubMed, Scopus and Web of Science databases (from inception to January 2022). Weighted mean differences and 95% confidence intervals were estimated via a random-effects model. Heterogeneity, sensitivity analysis and publication bias were reported using standard methods.

Pooled analysis of six randomized controlled trials (RCTs) revealed that vitamin D and omega-3 co-supplementation yielded significant reductions in TG (p = 0.631). A pooled analysis of five trials indicated a significant association between omega-3 and vitamin D treatment and reductions in TC (p = 0.001) and LDL (p = 0.001). Although, pooled analyses of omega-3 and vitamin D did not significantly affect HDL.

The findings suggest that vitamin D and omega-3 co-supplementation lowers TG, TC and LDL in adults. Future, large-scale, RCTs on various populations are needed to elucidate further beneficial effects of vitamin D and omega-3 co-supplementation on lipid profile and establish guidelines for clinical practice.

Business models are constantly innovating to adopt international trends. Business models are shifting toward sustainable practices to meet expectations and standards and keep on with the rest of the competitors in their industries. Recently, sustainability took a greater emphasis, and this chapter seeks to describe the main sustainability initiatives generated in international markets. Through a qualitative study made of secondary sources, strategies aligned to different sustainability initiatives are shown. Interestingly, adopting technology, digital transformation, and blockchain can enhance sustainable development.

This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

This paper aims to investigate how actors in the farmer’s network influence the adoption of smart farming technology (SFT) and to understand how social media affects this adoption process, in particular focusing on the influence of social media on trust in knowledge dissemination within the network.

The methodology used a two-stage process, with semi-structured interviews of farmers, augmented by a netnographic approach appropriate to the social media context.

The analysis illustrates the key role of the farmer network in the dissemination of SFT knowledge, bringing insight into an important B2B context. While social media emerges as a valuable way to connect farmers and promote discussion, it remains underused in knowledge dissemination on SFT. Also, farmers exhibit more trust in the content from peers online rather than from SFT vendors.

Novel insights are gained into the influence of the farming network on the accelerated adoption of SFT, including the potential role of social media in mitigating the homophilous nature of peer-to-peer interactions among farmers through exposure to more diverse actors and information. The use of a social network theory lens has provided new insights into the role of trust in shaping social media influence on the farmer, with variances in farmer trust of information from technology vendors and from peers.

The purpose of this paper is to propose a voltage regulation solution in power systems through adjusting the power flow of the system via thyristor controlled series compensator (TCSC). For this aim, a new power flow model has been proposed based on TCSC.

TCSC’s admittance effect has been included as state variable into the Jacobian matrix to avoid divergence problem. TCSC’s admittance is ignored in the bus admittance matrix to prevent rebuilding requirement of the bus admittance matrix in each power flow iteration. So, faster convergence for power flow calculation has been provided. For this aim, new power equations have been obtained. Also, the proposed approach has not required to handle each terminal of TCSC as an individual bus in the power flow calculation. So, increasing of the Jacobian and bus admittance matrixes caused by the total bus number has been prevented.

The proposed approach has been tested on IEEE 57-bus test system. The obtained results have proved that the proposed approach has provided efficient, reliable and fast convergence.

This study is the first one that uses TCSC for voltage regulation in the literature. On the other hand, the results have shown that the approach of considering the TCSC admittance values as state variables provides robust convergence, according to the approaches that consider TCSC firing angles as state variables.

The study aims to examine the green finance customers' post-usage continuance behavior based on an extended social support theory (SST). Remarkably, this study explores five indirect predictors of green finance continuance behavior (GFCB) (i.e. environmental consciousness (EC), green bank marketing initiatives (GBMI), informational supports, emotional supports (EST) and psychological reactance) and a mediator (i.e. customer satisfaction).

In this study data were collected from 362 respondents from Bangladesh using a purposive sampling method with a structured self-administrative questionnaire and analyzed by partial least square structural equation and modeling using SMART PLS 3.0 software.

The results depict that the five predictors, i.e. information supports (ß = 0.367, t-statistics = 2.463, p < 0.001), EST (ß = 0.206, t-statistics = 2.315, p < 0.000), EC (ß = 0.324, t-statistics = 3.484, p < 0.000), GBMI (ß = 0.288, t-statistics = 2.028, p < 0.000), psychological reactance (ß = 0.126, t-statistics = 0.969, p < 0.052) influence GFCB while satisfaction is predicted by four predictors except psychological reactance (ß = 0.126, t-statistics = 0.969, p < 0.052). In addition, customer satisfaction (ß = 0.638, t-statistics = 6.317, p < 0.005) also has an impact on continuance behavior. Besides, the study understood that four predictors indirectly influence GFCB through satisfaction except psychological reactance ((ß = 0.080, t-statistics = 964, z = 0.958p < 0.338). Finally, the coefficient of determinations (R2) indicates that the five predictors explained 65.3% of changes in satisfaction, whereas 72.8% of changes are described by the five predictors and customer satisfactions.

Finally, this study highlights the social and managerial implications for the implementers of the green finance industry. It is recommended to emphasize green finance practice as it plays a crucial role in promoting environmental protection, ensuring social equity and driving economic growth. The green banking service providers, industry analysts, green consumers and respective government authorities can generalize green finance activities as an essential aspect of sustainable development to equalize the economic growth with a view to protecting environmental collapse and promoting renewable energy, energy efficiency, sustainable agriculture and other environmentally friendly activities.

The study will enormously contribute to the existing literature validating the proposed holistic framework applying SST along with EC, GBMI and psychological reactance in green finance continuance behavior.

This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in the relationship of social capital and performance of producer organizations.

The study used data from a survey of 226 members of farmer producer organizations (FPO) in India. The model was tested through structural equation modeling wherein all hypotheses were tested using “R” studio.

The findings reveal that social capital and self-efficacy play a significant role in predicting the performance of FPO. It was found that in the process of social capital influencing the performance of FPO, self-efficacy plays a significant role as a partial mediator with a mediating effect of approximately 69.28%.

The study considered only one antecedent while identifying the reasons for perceived performance of FPOs. Hence, further studies of the various other constructs such as attitude, subjective norms, etc., may be considered.

No previous work has examined the mediating role of self-efficacy in the relationship between social capital and perceived performance of FPO. This study is possibly the only one that joins two streams of thought – social capital and self-efficacy – to examine the performance of FPO.