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This paper aims to analyze the influence of institutional pressures on Indian Food Supply Chain (FSC) actors’ intention to adopt strategies for Sustainable Development Goals (SDGs). By focusing on an agrarian state, this paper explores the prioritizations of SDGs by FSC actors and analyzes the relative impact of institutional pressures in adopting strategies for SDGs.

Quantitative data was collected using questionnaires from 303 respondents engaged in the food industry in an agrarian state in India.

The SDG prioritizations of FSC actors are evidenced using SDG models, thereby suggesting the presence of tradeoffs and synergies within SDGs in FSCs. By using institutional theory, this study defines the impact of sustainability drivers on Indian FSCs, and contrary to previous studies, normative institutional pressures are found not significant – this paper explicates the reasons for this.

Differing stakeholder groups and their prioritizations can result in ranking one SDG over another, thereby resulting in SDG tradeoffs. Such tradeoffs imply that the achievement of one SDG could negate the achievement of another SDG, and therefore, this study explicates the need for a holistic managerial approach to adopting SDGs.

The post-pandemic recognises changes are required; universities need to rethink their e-servicescapes strategies by offering different approaches to enhance students’ learning. This study aims to draw on learning self-efficacy trajectories and propose a conceptual model for exploring the predictive validity of satisfaction. In addition, it explores the mediating role of e-servicescapes and the moderating relationship effect of mature and younger students.

Learning self-efficacies is incorporated into the design of the model in an attempt to understand student cognition. The influences of e-servicescape on adopting online preferences and satisfaction are also examined. The model was empirically validated by surveying 266 respondents. Structural equation modelling and multi-group analysis were used to analyse the data.

The results of this study show learning self-efficacies has no significant influence on satisfaction. Yet, they showed a significant influence on e-servicescapes. E-servicescapes positively influenced satisfaction and preference for adopting online learning. E-servicescapes also had a mediating effect between self-efficacy to complete a course and satisfaction, as well as self-efficacy to interact with instructors and satisfaction. It had a negative suppressed effect on social interaction.

The research makes the following contributions. Firstly, the conceptualised model identifies an association between learning self-efficacies and e-servicescapes, suggesting universities as service providers can maximise the value offerings of their customer assets. Secondly, e-servicescapes demonstrate a full mediating effect between self-efficacies and satisfaction, indicating that if universities are to compete successfully in dynamic markets, they should co-create value in their e-servicescapes domain to increase satisfaction. Thirdly, the study recognises the need for a hybrid system of both face-to-face and online delivery because the multi-group analysis shows mature age preference for online learning is required to make this transformation successful.

Food Loss and Waste (FLW), a result of non-sustainable consumption and production, has significant socio-environmental impacts and is addressed in the United Nation's Sustainable Development Goal (SDG) 12.3. To address current research on FLW and SDG 12.3, the authors aim to evidence the current state of knowledge on drivers and barriers to SDG 12.3 through a comprehensive literature review.

The authors employed a multi-step systematic literature review process and retrieved 171 studies addressing SDGs, with 83 explicitly addressing SDG 12.3. The analysis involved a qualitative content analysis of studies retrieved by analyzing key findings and relationships between drivers and barriers to FLW.

While academic research focuses on SDG 12.3 by stressing the necessity of FLW reduction, it fails to explain the drivers and barriers to minimizing FLW. The authors developed a conceptual framework to demonstrate how barriers and drivers can inhibit or stimulate the dynamics that will achieve SDG 12.3 through effective planning and management.

This study addressed the theoretical limitations of existing studies and clarified the critical gaps in the current literature, thereby guiding future researchers in the food supply chain (FSC) context.

The research to date focused on high-income countries, and future empirical studies should focus on consumption patterns, the associated drivers and barriers of food waste in low-income countries and its social impact.

Agriculture in Ethiopia relies heavily on traditional farm power sources and is designated by the lowest farm machinery access, in contrast to other Sub-Sahara African (SSA) countries. The purpose of this research is to analyze the heterogeneity of mechanization service transactions and factors determining farmers' cooperation in mechanization clusters and willingness to accept land consolidation.

The authors conducted a cross-sectional survey of producer households in major crop production areas in the Oromia, SNNPR, Amhara and Tigray regions. The sampling design involved three stages: districts were selected using a stratified sampling approach accompanied by simple random samples of kebele units and producer households in the second and final stages, respectively.

This study’s results show that mechanization service costs, service relationships, clustering and land consolidation exhibit significant heterogeneity across the study areas. Cluster farming was found to be advantageous against diseconomies, rationalized by upgrading the mechanization scale. The probit model parameterization of the probability distributions reveals that household, land, crop, mechanization service, remoteness and location-related factors determine participation in mechanization clusters and willingness to accept land consolidation.

Fostering cooperation by focusing on constraints and demand of users is suggested to reduce transaction costs and expand hired mechanization services to unaddressed areas. The findings are relevant to most SSA countries where mechanization development is hampered by land fragmentation.

Limited information is available on agricultural mechanization development for smallholder farmers, particularly in Ethiopia, and this study adds empirical evidence about the synergy between cluster farming and mechanization, horizontal coordination and alternative supply models.