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The warehouse receipt system (WRS) is critical for farmers because it addresses agricultural market inefficiencies, provides credit access, reduces postharvest losses and increases access to profitable markets. However, its use and implementation across the commodity value chain remain relatively limited in Sub-Saharan Africa, particularly among cash crop producers. This study examines cashew farmers' perceptions of WRS implementation and determinants of farmer participation.

A total of 153 cashew farmers from the Bono region of Ghana were sampled using a multistage sampling approach. Perception index analysis and Cragg's double hurdle model were used for the analysis.

The results revealed that farmers strongly perceived that WRS augmented credit and market access. In addition, farm size, household size, annual income, perception of collateral and higher selling price determined farmers' willingness to participate in WRS.

Despite the existence of other cashew farmers in Ghana, the study was limited to cashew farmers in Bono Region.

Despite the plethora of benefits of WRS, it is surprising that its implementation in the cashew subsector is geographically limited to East Africa. Thus, this study is the first to provide empirical evidence on the perception of WRS implementation and further examine farmers' willingness to participate in WRS in Ghana.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0946.

Recent research advocates that there are plenty of opportunities for key players in the offsite construction (OSC) sector to harness the full potential of advanced project management techniques. While previous research mainly focuses on transformations related to digital and advanced technologies driven by industry 4.0 principles, a research gap still exists on the intersection of project management capabilities and OSC. This study attempts to bridge this gap by capturing the homogeneity of different capabilities and integrating them into an overarching framework.

A scientometric analysis is conducted to provide an overview of the co-occurrence network of keywords in the representative studies. A systematic literature review (SLR) of articles published between 2010 and 2022, followed by a subsequent full-text examination of 63 selected articles, revealed 34 interrelated capabilities to be categorised under three exhaustive planning-oriented, design-oriented and delivery-oriented groups.

This review revealed an upward trend of publication on project management capabilities for OSC with a specific interest in optimisation of resources allocated to offsite operations. The top five capabilities discussed more frequently in the literature include (1) artificial intelligence for design error detection, (2) enhanced resource productivity, (3) cost saving in offsite production, (4) real-time traceability of modules and (5) applying lean agile production principles to OSC, which imply the critical role of quality, cost saving, traceability and agility in OSC.

This study elicits core capabilities and develops a new offsite project management framework for the first time. The authors provide directions for researchers and practitioners to apply capabilities for obtaining better outcomes and higher value out of offsite operations.

This paper aims to present a study on stability analysis of Jeffrey fluids in the presence of emergent chemical gradients within microbial systems of anisotropic porous media.

This study uses an effective method that combines non-dimensionalization, normal mode analysis and linear stability analysis to examine the stability of Jeffrey fluids in the presence of emergent chemical gradients inside microbial systems in anisotropic porous media. The study focuses on determining critical values and understanding how temperature gradients, concentration gradients and chemical reactions influence the onset of bioconvection patterns. Mathematical transformations and analytical approaches are used to investigate the system’s complicated dynamics and the interaction of numerous characteristics that influence stability.

The analysis is performed using the Jeffrey-Darcy type and Boussinesq estimation. The process involves using non-dimensionalization, using the normal mode approach and conducting linear stability analysis to convert the field equations into ordinary differential equations. The conventional thermal Rayleigh Darcy number RDa,c is derived as a comprehensive function of various parameters, and it remains unaffected by the bio convection Lewis number Łe. Indeed, elevating the values of ζ and γ′ in the interval of 0 to 1 has been noted to expedite the formation of bioconvection patterns while concurrently expanding the dimensions of convective cells. The purpose of this investigation is to learn how the temperature gradient affects the concentration gradient and, in turn, the stability and initiation of bioconvection by taking the Soret effect into the equation. The results provide insightful understandings of the intricate dynamics of fluid systems affected by chemical and biological elements, providing possibilities for possible industrial and biological process applications. The findings illustrate that augmenting both microbe concentration and the bioconvection Péclet number results in an unstable system. In this study, the experimental Rayleigh number RDa,c was determined to be 4π2at the critical wave number ( δcˇ) of π.

The study’s novelty originated from its investigation of a novel and complicated system incorporating Jeffrey fluids, emergent chemical gradients and anisotropic porous media, as well as the use of mathematical and analytical approaches to explore the system’s stability and dynamics.

This study examines fluid flow within a rectangular porous medium bounded by walls capable of expansion or contraction. It focuses on a non-Newtonian fluid with Casson characteristics, incompressibility, and electrical conductivity, demonstrating temperature-dependent impacts on viscosity.

The flow is two-dimensional, unsteady, and laminar, influenced by a small electromagnetic force and electrical conductivity. The Hybrid Analytical and Numerical Method (HAN method) resolves the constitutive differential equations.

The fluid’s velocity is influenced by the Casson parameter, viscosity variation parameter, and resistive force, while the fluid’s temperature is affected by the radiation parameter, Prandtl number, and power-law index. Increasing the Casson parameter from 0.1 to 50 results in a 4.699% increase in maximum fluid velocity and a 0.123% increase in average velocity. Viscosity variation from 0 to 15 decreases average velocity by 1.42%. Wall expansion (a from −4 to 4) increases maximum velocity by 19.07% and average velocity by 1.09%. The average fluid temperature increases by 100.92% with wall expansion and decreases by 51.47% with a Prandtl number change from 0 to 7.

Understanding fluid dynamics in various environments is crucial for engineering and natural systems. This research emphasizes the critical role of wall movements in fluid dynamics and offers valuable insights for designing systems requiring fluid flow and heat transfer. The study presents new findings on heat transfer and fluid flow in a rectangular channel with two parallel, porous walls capable of expansion and contraction, which have not been previously reported.

This study aims to investigate the heat and mass transfer characteristics of a temperature-sensitive ternary nanofluid in a porous medium with magnetic field and the Soret–Dufour effect through a tapered asymmetric channel. The ternary nanofluid consists of Boron Nitride Nanotubes (BNNT), silver (Ag) and copper (Cu) nanoparticles, with a focus on understanding the thermal behaviour and performance across mono, hybrid and tri-hybrid nanofluids. This paper also examines the thermal behaviour of MHD oscillatory nanofluid flow and carries out an uncertainty analysis of the model using the Taguchi method.

The governing equations for this system are transformed into coupled linear partial differential equations using non-similarity transformations and solved numerically with the Crank–Nicolson scheme. The impact of temperature sensitivity at three distinct temperatures (5°C, 20°C and 60°C) is incorporated to analyse variations in viscosity and Prandtl number. The study also examines the combined effects of Soret–Dufour numbers and thermal radiation on heat and mass transfer within the nanofluid.

The results demonstrate that the inclusion of BNNT, Ag and Cu nanoparticles significantly enhances heat and mass transfer rate, with copper nanoparticles showing superior performance in terms of skin friction and heat transfer rates. The Soret and Dufour effects play critical roles in modulating heat and mass diffusion within tri-hybrid nanofluids. The study reveals that temperature sensitivity alters heat and mass transfer characteristics depending on the temperature range, with pronounced variations at elevated temperatures. The influence of thermal radiation and the Peclet number is found to significantly impact temperature distribution and overall heat transfer performance within the asymmetric channel.

To the best of the authors’ knowledge, this study is the first to analyse the heat and mass diffusion in a ternary nanofluid composed of BNNT, Ag and Cu nanoparticles, considering porous media, oscillatory flow and thermal radiation within a tapered asymmetric channel. The research extends to a novel examination of temperature sensitivity in mono, hybrid and tri-hybrid nanofluids at varying temperature gradients. Furthermore, a comparative analysis of skin friction and heat transfer rates between copper, alumina and ferro composites is presented for optimising the nanofluid performance.

The study focuses on employment equity among Canadian women with a nursing education, examining differences across racialized groups.

The analysis used data from the 2021 Canadian Census of Population on a large sample of women aged 25–64 years with a nursing education (n = 112,000). The analysis compared women from ten racialized population groups to those from the White population group on attainment of a nursing education, employment in the health sector, and having an occupation that matched their nursing education. These comparisons were made separately for women who were Canadian-born, Canadian-educated immigrants and foreign-educated immigrants and controlled for differences in educational and demographic characteristics.

Most racialized women were under-represented in terms of having a nursing education, which was a barrier to their inclusion in the nursing workforce. Having a Canadian nursing education eliminated most disparities between racialized and White women in terms of employment outcomes. Foreign-educated immigrant women experienced a large penalty in levels of workforce integration, and this penalty was mostly larger for those from racialized population groups than the White population group. Large proportions of foreign-educated immigrant women with a nursing education had non-health occupations or health occupations that underutilized their skills.

This study provides a granular perspective on disparities between racialized and White women in levels of employment and utilization in the nursing workforce. The analyses illustrate the need for disaggregated data to reveal where the disparities lie and the context in which these disparities emerge.

This study aimed to understand coopetition in the context of Brazilian specialty coffee grower Small and medium enterprises (SMEs), based on the need to differentiate the beans in and outside the farm level, taking into account the stakeholders’ influence.

In this study twenty semistructured interviews were carried out with coffee growers and managers of cooperatives, associations and supporting institutions involving two Brazilian coffee geographical indications. Data were analyzed using a mixed grid composed of qualitative, semantic and categorical factors.

Strategic moves undertaken by coffee growers and stakeholders have shaped the pathway of coopetition among coffee growers, as determinants to frame it as a deliberate or emergent pattern (intentional or unplanned, respectively). Our findings provide evidence that coopetition development among firms is deliberate when influenced by firms’ or stakeholders’ cooperative moves and emergent when influenced by firms’ or stakeholders’ competitive moves.

Although the firm/stakeholder relationship is often approached as a joint wealth creation effort, stakes are not always fairly distributed, so one of the parties may be negatively affected, with consequences for the development of coopetition. Underpinned by a stakeholder-oriented resource-based theoretical lens, this investigation of the development patterns of coopetition linked to the strategic actions undertaken by firms and stakeholders has resonance on competitive advantages.

Elucidating on the theoretical framework of conservation of resource and social identity theories, we aim to explore the association between work-family conflict (bidirectional, i.e. work-to-family conflict (WFC) and family-to-work conflict (FWC)) and affective commitment (AC) via emotional exhaustion (EE). Besides, the buffering effect of organizational identification (OI) in the bi-directional work-family conflict and EE relationship and perceived interactional justice (PIJ) between EE and AC were also tested.

A multi-time study was conducted in which data from 675 doctors working in different public hospitals across India were gathered at three-time intervals (T1, T2 and T3). The collected data were then analyzed using statistical software tools, namely AMOS 24 and SPSS v23.

It was indicated that WFC and FWC have a significant negative association with AC. EE was shown to mediate the relationship between bi-directional work-family conflict and AC. Additionally, OI buffered the relationship between WFC, FWC and EE. Moreover, PIJ was established as a moderating factor in the relationship between EE and AC.

This paper provides a new insight into the work-family conflict-AC relationship by examining it through the mediating role of EE. It offers a nuanced understanding by establishing the buffering effects of OI in the bi-directional WFC and EE. To our knowledge, this research represents the inaugural attempt to investigate the moderating influence of PIJ in the relationship between EE and AC.

Initiator crimes, also known as near-repeat crimes, occur in places with known risk factors and vulnerabilities based on prior crime-related experiences or information. Consequently, the environment in which initiator crimes occur might be different from more general crime environments. This study aimed to analyse the differences between the environments of initiator crimes and general crimes, confirming the need for predicting initiator crimes.

We compared predictive models using data corresponding to initiator crimes and all residential burglaries without considering repetitive crime patterns as dependent variables. Using random forest and gradient boosting, representative ensemble models and predictive models were compared utilising various environmental factor data. Subsequently, we evaluated the performance of each predictive model to derive feature importance and partial dependence based on a highly predictive model.

By analysing environmental factors affecting overall residential burglary and initiator crimes, we observed notable differences in high-importance variables. Further analysis of the partial dependence of total residential burglary and initiator crimes based on these variables revealed distinct impacts on each crime. Moreover, initiator crimes took place in environments consistent with well-known theories in the field of environmental criminology.

Our findings indicate the possibility that results that do not appear through the existing theft crime prediction method will be identified in the initiator crime prediction model. Emphasising the importance of investigating the environments in which initiator crimes occur, this study underscores the potential of artificial intelligence (AI)-based approaches in creating a safe urban environment. By effectively preventing potential crimes, AI-driven prediction of initiator crimes can significantly contribute to enhancing urban safety.

To most people, money is a motivator, which is robustly true for salespeople. A high love of money attitude predicts university students’ poor academic performance in a business course and cheating in laboratory experiments and multiple panel studies, but money (income) itself does not predict dishonesty. Extrinsic reward undermines intrinsic motivation. Very little research has incorporated the grit construct in the sales literature and explored the relationship between grit and the love of money. Further, a growth mindset and a fixed mindset may also impact salespeople’s job performance. This study aims to explore a brand-new theoretical structural equation model (SEM) and investigate the relationships between individual characteristics (growth and fixed mindsets and grit orientation) and job performance directly and indirectly through a mediator – salespeople’s love of money attitude.

This study uses Qualtrics and collects data from 330 business-to-business (B2B) salespeople across several industries in the USA. This study uses a formative SEM model to test this study’s hypotheses.

First, there are significant correlations among grit, a growth mindset and a fixed mindset, revealing no construct duplication or redundancy. Second, both a growth mindset and grit indirectly enhance job performance through the love of money attitude – a mediator, offering a brand-new discovery. Third, counter-intuitively, a growth mindset and grit do not directly improve job performance. Fourth, grit is significantly and negatively related to the love of money attitude, adding a new twist to this study’s theoretical model. Fifth, a fixed mindset undermines job performance directly but is unrelated to the love of money. Overall, B2B salespeople’s love of money attitude (employee demand) undermines sales personnel’s self-reported job performance (organization demand) in the organization and employee’s supply and demand exchange relationship.

The findings reveal that a growth mindset, a fixed mindset and grit contribute differently to sales personnel’s love of money attitude and job performance in this study’s theoretical model. The love of money serves as a mediator. A commonly accepted belief is that money is a motivator. Money (income) itself and the love of money attitude are two separate constructs. This study’s novel discoveries provide the essential missing monetary-aspirations-to-job-performance link in the literature – ardent monetary aspiration undermines self-reported job performance. This study offers inspiration to help decision-makers make happy, healthy and wealthy decisions and improve performance.