Archeological evidence shows that dairy farming dates to the early Neolithic era in Europe, the Middle East, Asia, and Africa. Over time, it has evolved from domestication to intensive dairy farms with large, high-tech processing units. Dairy farming has contributed to economic growth, food production, employment, and processing industries. Nonetheless, it has been identified as a major contributor to climate change. This study explores the literature on dairy farming and sustainable development goals (SDGs) to identify current scholarly developments since the formulation and adoption of the SDGs in 2015 and themes for future research. This paper argues that sustainability shortfalls in dairy farming are primarily driven by human processes associated with commercialization and industrialization rather than the animals themselves, although biological emissions remain an inherent factor. Data were analyzed using R package, Excel, NVIVO, and VoS Viewer. A review of the literature showed that dairy farming and its contribution to sustainability has gained more scientific interest since 2015. Moreover, livestock management, feed production and management, stakeholder management, logistics and supply chain management, and waste management are the sources of environmental adversities associated with dairy farming. Notably, these are human processes developed from the commercialization of dairy farming and involve multiple stakeholders across the supply chain. While solutions are embedded within these processes, innovation emerges as a key driver of sustainability and a source of opportunities to strengthen sustainability in the dairy farming sector and achieve SDGs. Sustainability strategies, such as sustainable intensification, multifunctional agriculture, and agro-ecology should be implemented to improve sustainability in the dairy sector.

Informal borrowing from friends and acquaintances is a common financial practice in contexts where formal credit is limited, yet it carries significant emotional and relational implications. This study investigates how moral emotions, specifically guilt and shame, influence borrowing behavior, repayment decisions, and post-borrowing relationship quality. Drawing on prospect theory and cognitive dissonance theory, we conducted a cross-sectional survey (N = 384) among individuals with past peer-borrowing experiences and used regression model to analyze the data. The questionnaire was administered online to examine borrowers' psychological mechanisms before, during, and after borrowing. We found that shame significantly reduces borrowing willingness and impairs repayment behavior, while guilt positively predicts repayment, but has no effect on borrowing decisions. Demographic factors, such as gender and age moderate the effect of guilt, but not shame. Most notably, shame emerged as the strongest predictor of strained interpersonal relationships after borrowing. The findings highlight the emotional costs embedded in peer lending and suggest the need for peer-lending interventions and financial inclusion strategies that account for psychological and social dynamics. Addressing shame may be key to fostering emotionally safe borrowing environments and maintaining social cohesion in informal financial systems.

Background: The COVID-19 pandemic disrupted global dairy supply chains and threatened business continuity from farms to retail outlets. There is limited understanding of how operational-level managerial decisions supported resilience in this perishable sector. Methods: This study applies a systematic literature review based on PRISMA 2020 guidelines. It analyses 21 peer-reviewed studies published between 2019 and 2025 across 19 countries. Results: The findings identify 8 primary supply chain challenges. Adaptive responses are classified into traditional and innovative managerial adaptations. Traditional adaptations rely on established practices such as production adjustments, cross-training, and product reallocation to stabilise short-term performance. Innovative adaptations involve structural and analytical approaches such as network optimisation, digital coordination, and scenario planning to support long-term resilience. The results also reveal differences between developed and developing economies. Conclusions: Resilient dairy supply chains require both operational continuity and structural innovation. This study proposes a sector-specific classification of managerial adaptations and highlights directions for future research.

Dairy farming dates to the early Neolithic era in Europe, Middle East, Asia, and Africa. Over time, the industry has evolved from small ranches and farmhouses milk processing units to large, intensive dairy farms and big, high-tech processing units. Despite the industry’s contribution to the economy and food production, multiple studies have tainted cattle farming as a main contributor to climate change. This study explores literature in dairy farming and sustainable development goals (SDGs) to identify current scholarly developments since the formulation and adoption of SDGs in 2015 and themes for future research. This paper argues that dairy animals are not the source of sustainability shortfalls as depicted by multiple scholarly articles, but human processes associated with dairy farming. Data was analyzed using R package, Excel, NVIVO, and VoS Viewer. A review of literature shows that dairy farming and its contribution to sustainability has gained more intensive scientific interest since 2015. Moreover, livestock management, feed production and management, stakeholder’s management, logistics and supply chain management, and waste management are the sources of environmental adversities associated with dairy farming. Notably, these are human processes developed from commercialization of dairy farming and involve multiple stakeholders across the supply chain. While solutions are embedded within these processes, innovation emerges as a key driver of sustainability and source of opportunities to strengthen sustainability in dairy farming sector and achieve the sustainable development goals.