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This study aims to investigate the determinants of the food security status of participants and non-participants of livestock extension services living under similar socioeconomic conditions as livestock farming households in the Feed the Future zone of Bangladesh.

Cross-sectional data of 906 farm-households extracted from a total of 2064 from the Feed the Future representative Bangladesh Integrated Households Survey 2018 were used. A triple hurdle model combined with a structural equation model were used to analyze the data. The causal relationship between food security status, livestock extension services, technology adoption and women's empowerment was investigated by estimating structural equation modeling with second-order latent factors.

The results indicate that livestock extension services have increased livestock technology adoption and have a positively significant (p < 0.01) relationship with household wealth, food security, welfare and women's empowerment.

The results suggest that livestock extension services have an impact on new technology adoption and enhancing women's empowerment; thus, the services should be widely made available in the region.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2021-0647.

As one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security over the next decade. Yet, what will be the impact of farmland infrastructure investment on agrifood systems? The paper aims to systematically evaluate the multiple effects (food security, economy, nutrition and environment) of expanding HSF construction under the context of the “Big Food vision” using an interdisciplinary model.

An interdisciplinary model – AgriFood Systems Model, which links the China CGE model to diet and carbon emission modules, is applied to assess the multiple effects of HSF construction on agrifood systems, such as food security and economic development, residents’ diet quality and carbon emissions. Several policy scenarios are designed to capture these effects of the past HSF investment based on counterfactual analysis and compare the effects of HSF future investment at the national level under the conditions of different land use policies – restricting to grain crops or allowing diversification (like vegetables, and fruit).

The investments in HSF offer a promising solution for addressing the challenges of food and nutrition security, economic development and environmental sustainability. Without HSF construction, grain production and self-sufficiency would decline significantly, while the agricultural and agrifood systems’ GDP would decrease. The future investment in the HSF construction will further increase both grain production and GDP, improve dietary quality and reduce carbon emissions. Compared with the policy of limiting HSF to planting grains, diversified planting can provide a more profitable economic return, improve dietary quality and reduce carbon emissions.

This study contributes to better informing the impact of land infrastructure expanding investment on the agrifood systems from multiple dimensions based on an interdisciplinary model. We suggest that the government consider applying diversified planting in the future HSF investment to meet nutritional and health demands, increase household income and reduce carbon emissions.

This study aims to add a gender perspective to the current ecosystem of entrepreneurship education whereby an innovative model of the female entrepreneurship education ecosystem (FEEE) consisting of five stakeholders (university, government, society, enterprise and the international community) is examined.

The study conducted an online questionnaire among 505 respondents from two universities and one higher vocational college in China. Confirmatory factor analysis (CFA) was used to test the correlation between factors and structural equation modeling (SEM) was applied to test the five hypotheses proposed in the study.

The results indicated that the five stakeholders (the university, government, society, enterprise and international community) positively affect FEEE. The study emphasizes the urgent demand to consider gender perspectives in the ecosystem of entrepreneurship education and provides plausible ways to conduct female-targeted education with the joint efforts of different stakeholders.

The study aims to increase the number of future female entrepreneurs, enhance the future skills of female students in the digital era and ultimately advance humankind. The study emphasizes the urgent demand to consider gender-perspective in the entrepreneurship education ecosystem and provides plausible ways to conduct female-targeted education with the joint efforts of different stakeholders.

This paper sheds light on evaluating FEEE through five stakeholders' dimensions, which explores the solutions to the current female entrepreneurship education (FEE) issues.

The purpose of this study is to determine the effect of optimistic expectations on job satisfaction at work and whether job crafting behaviour plays a mediating role in this effect. At the same time, this model presents the need for “expectation management” in the context of work psychology to the attention of all academics and practitioners.

To test the hypotheses of the study, data were obtained from 475 health-care workers in a public hospital. Hypotheses were tested using Process Macro Model of Hayes (2018).

The result of the analyses determined that the optimistic expectations for the organization as a whole have a positive effect on job satisfaction, both directly and indirectly, and that job crafting behaviour has a partial mediating role in this effect.

The first limitation is that the data were obtained only by a cross-sectional method. The second is that among the various workplace behaviours and workplace psychologies job crafting and job satisfaction were examined in the study. The partial mediation effect between the research variables reveals the existence of many other variables and constitutes the third limitation. The fourth is that only optimistic expectations effects on positive behaviours and positive psychological states were evaluated in this study. Finally, a fifth limitation of this study is that the sample is limited to those working in the health sector and public hospitals.

First, the data were obtained only by a cross-sectional method, and the longitudinal method was not implemented in how the study was designed. Second, among the workplace behaviours, only job crafting behaviour and only job satisfaction as a workplace psychology were analysed. Third, partial mediation effect was found to be among the other variables might indicate the role of additional variables that could be uncovered by further research. Fourth, only optimistic expectations and their effects on positive behaviours and positive psychological states at the workplace were evaluated. Fifth, the sample is limited to those working in the health sector and public hospitals.

This study draws attention to “Expectation Management” as a management activity worth exploring and its potential in terms of social and working relations.

This study provides versatile answers to the question of why individuals perform differently despite working under the same conditions. The model suggested in the study takes the conventional way of thinking in the literature one step further by offering an alternative answer to this critical question, whose answers we have been discovering step by step since the Hawthorne studies. In addition, the proposed model draws attention to the need for “expectation management” in the context of business psychology in theory and practice.

While the world is yet to fully recuperate from the social and economic repercussions of COVID-19, the Russia–Ukraine conflict poses another major threat causing a humanitarian crisis and economic shock. Although the 2030 Agenda for Sustainable Development Goals (SDGs) and its pledge to “leave no one behind” is a universal commitment to protect the livelihoods of vulnerable groups, the Russia–Ukraine ongoing conflict is causing immense suffering and a gloomy future for the 2030 Agenda. The purpose of this study is to provide a holistic understanding of the ramifications of the Russia–Ukraine war in SDGs progress around the world. Further, the authors shed light on how stakeholders can help engage in support of SDGs in such a challenging time.

This study is qualitative in nature and relies on secondary sources. The motive behind this study is to allow social and economic policy researchers and practitioners to learn from the Russia–Ukraine dispute. The authors conduct a preliminary factual analysis to determine patterns of how the conflict affects the SDGs Agenda. On this basis, the authors propose some recommendations.

While it is still early to measure the full impact of the war on crises worldwide, it is clear that the repercussions will be multi-dimensional. The authors argue that the conflict in Ukraine is severely threatening the achievement of the SDGs. As such, the authors identify patterns of this crisis that have halted progress on SDGs worldwide. Of all SDGs, the authors argue that SDG16 (i.e. peace and justice) is an absolute pre-requisite to sustaining other goals. Further, refugees should be economically empowered, resilient and sustainable food systems need to be put in place and renewable energy transition is required.

This study serves as a springboard for future research by identifying patterns of war crises that have halted progress in achieving sustainable development worldwide. Empirical evidence needs to be conducted on the impact of this ongoing conflict on sustainable development and the 2030 Agenda.

This study could provide guidance to leaders and stakeholders across the globe on patterns for the impact of the Ukraine–Russia conflict on undermining global sustainable development while highlighting the need for major additional efforts to achieve the relevant SDGs.

To the best of the authors’ knowledge, this study is the first to analyse the threats the Russia–Ukraine dispute presents to the achievement of the 2030 Agenda for SDGs.

Although microfinance (MF) has been established as an effective approach to provide access to financial services for people in low income countries, close to one-third of adults worldwide, about 2 billion people, are still without access. The purpose of this study is therefore to provide knowledge on how MF institutions (MFIs) can innovate and scale their services to improve financial inclusion for more people in need, particularly small holder farmers.

Recent research suggests that Grameen Foundation builds on well-established MF models and focuses on continuously improving the design and increasing the reach of its services. Based on a retrospective longitudinal design, this study draws on dynamic capability theory to identify important lessons in MF innovation at Grameen through analyses of seven key agricultural MF programs.

This study finds that Grameen innovated these programs by sensing country-specific needs; seizing opportunities to use existing technology; creating linkages across multisector partners; adopting a business model that enabled replicability and sustainability of innovation transfer; and 5 integrating solutions that enabled process automation and scaling of outcomes. A key theoretical finding in applying dynamic capabilities theory to studies of innovation in MF revealed the core concepts to be transferrable, valuable, imitable and nonsubstitutable resources.

Using these insights, this study discusses theoretical, practical and policy implications of MF innovation to improve financial inclusion in low-income countries. Practitioners and researchers should assess the transferability of our findings to other MFIs and economic development contexts.

This study aims to investigate a startup accelerator’s decisions toward exerting effort in an information acquisition process and selecting an information disclosure strategy. In particular, the authors are interested in examining which factors may cause the accelerator to report more or less accurate information, which will subsequently affect the investment decision and the outcome of the ventures. This study examines the impact of the equity share taken by the accelerator on the effort level being exerted in the information acquisition process, as well as the accelerator’s decision on the information disclosure regime.

The authors use mathematical models built upon well-established theoretical and practical concepts to analyze the research problems and derive the findings.

The authors show that when the accelerator takes a sufficiently large equity share from the entrepreneur in exchange for admitting the entrepreneur’s venture into the acceleration program, the accelerator is motivated to exert a significant level of effort to observe an accurate signal for the quality of the venture, and then disclose the information about the venture’s quality consistently with the observed signal (informative disclosure regime). On the other hand, if the accelerator takes a small equity share, it is optimal for her to exert no effort in the information acquisition process and simply adopt the basic disclosure regime, where the accelerator reports the quality of the venture based solely on the ex ante expected payoff of the venture, regardless of the observed signal.

The results indicate that an equity sharing scheme, which awards a sufficient amount of equity to the accelerator, can be an effective tool to help obtain accurate information about the quality of a startup venture and make a well-informed investment decision.

This research illustrates that the ownership stake of the accelerator can potentially indicate the accuracy of the information about the venture provided by the accelerator to outside investors. That is, when the stake held by the accelerator is large, the investors can conjecture that the information about the venture reported by the accelerator may be highly accurate and reliable. In contrast, if the accelerator holds a small stake, then it is likely that the information provided by the accelerator may not add any value to the publicly available information. These insights can guide investors (e.g. angle investors, venture capitalists, etc.) in making well-informed startup investment decisions.

In developing countries, local buyers often rely on relational contracting based on reciprocity and trust. This paper analyzes relational contracting and global value chain (GVC) governance by focusing on how domestic and foreign coffee exporters in Rwanda confront challenges.

Semi-structured interviews were conducted with 25 representatives of Rwandan private, Rwandan cooperative-owned and foreign exporters, and four coffee sector stakeholders.

Foreign firms export most Rwandan coffee, and local exporters express concerns about their ability to compete. Rwandan exporters face challenges accessing capital, competing with foreign firms and managing high transaction costs. They use relational contracts to reduce transaction costs, and they benefit from a monopsony zoning regulation that reduces competition. Foreign exporters face regulatory challenges: a government-set coffee price and the zoning regulation. They vertically integrate to reduce costs and lock in suppliers through prefinancing.

Future research should analyze differences between local and foreign exporters in other contexts to advance understanding of the different challenges faced and contracting approaches used.

Few GVC governance studies address the role of relational contracts in contexts where enforcement is costly. Considering relational contracts within GVCs can improve value chain analysis, specifically in the developing countries where many GVCs start.