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The International Labor Organization (2020) estimates that eight out of ten enterprises (i.e. own-account workers and small economic units) are informal worldwide. However, less is known about the internationalization of informal enterprises. Here, it is argued that economic blocs, such as sub-Saharan Africa, with a greater proportion of informal enterprises, may provide broader societal legitimacy for them to operate internationally. Thus, informal firms would need to collaborate with other firms to overcome their resource constraints. Geographic colocation is one way to facilitate positive interfirm interactions that promote networking and subsequently cooperation. The purpose of this paper is, thus, to addresses two questions. Firstly, how and to what extent does interfirm marketing cooperation in geographic colocation influence the internationalization of micro and small informal manufacturing enterprises? Secondly, how do the perceived benefits of local external economies moderate this relationship?

The study draws evidence from 125 randomly selected informal enterprises located in two major clusters in Ghana, using a mixed-method approach.

The partial least square - structural equation modeling (PLS-SEM) analysis applied revealed two central points. Firstly, sharing marketing costs allows informal firms to upgrade their phases of export development directly. Secondly, the linkage of increasing sales activities and local external economies encourages the progress of the phases of export development and the scope of internationalization. Results confirm that the cluster benefits of interfirm cooperation and local external economies on the informal firm internationalization process complement each other in addition to their linear relationship.

The study contributes to understanding the nexus of the informal sector, geographic colocation and the entrepreneurial internationalization literature. The results should motivate researchers and policymakers to approach informal firm internationalization through collaborative business activities.

In recent times, there has been a growing interest in buoyancy-induced heat transfer within confined enclosures due to its frequent occurrence in heat transfer processes across diverse engineering disciplines, including electronic cooling, solar technologies, nuclear reactor systems, heat exchangers and energy storage systems. Moreover, the reduction of entropy generation holds significant importance in engineering applications, as it contributes to enhancing thermal system performance. This study, a numerical investigation, aims to analyze entropy generation and natural convection flow in an inclined square enclosure filled with Ag–MgO/water and Ag–TiO2/water hybrid nanofluids under the influence of a magnetic field. The enclosure features heated slits along its bottom and left walls. Following the Boussinesq approximation, the convective flow arises from a horizontal temperature difference between the partially heated walls and the cold right wall.

The governing equations for laminar unsteady natural convection flow in a Newtonian, incompressible mixture is solved using a Marker-and-Cell-based finite difference method within a customized MATLAB code. The hybrid nanofluid’s effective thermal conductivity and viscosity are determined using spherical nanoparticle correlations.

The numerical investigations cover various parameters, including nanoparticle volume concentration, Hartmann number, Rayleigh number, heat source/sink effects and inclination angle. As the Hartmann and Rayleigh numbers increase, there is a significant enhancement in entropy generation. The average Nusselt number experiences a substantial increase at extremely high values of the Rayleigh number and inclination.

This numerical investigation explores advanced applications involving various combinations of influential parameters, different nanoparticles, enclosure inclinations and improved designs. The goal is to control fluid flow and enhance heat transfer rates to meet the demands of the Fourth Industrial Revolution.

In a 90° tilted enclosure, the addition of 5% hybrid nanoparticles to the base fluid resulted in a 17.139% increase in the heat transfer rate for Ag–MgO nanoparticles and a 16.4185% increase for Ag–TiO2 nanoparticles compared to the base fluid. It is observed that a 5% nanoparticle volume fraction results in an increased heat transfer rate, influenced by variations in both the Darcy and Rayleigh numbers. The study demonstrates that the Ag–MgO hybrid nanofluid exhibits superior heat transfer and fluid transport performance compared to the Ag–TiO2 hybrid nanofluid. The simulations pertain to the use of hybrid magnetic nanofluids in fuel cells, solar cavity receivers and the processing of electromagnetic nanomaterials in enclosed environments.

This study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases strategic business model choices in the agricultural sector. The study responds through empirical analysis to the gap on the subject of AI-driven business models present in the growing sector literature.

The paper analyzes the case of “ZERO”, a company linked to the strategy innovation ecosystem of the Ca’ Foscari University of Venice, Italy. The empirical data were collected through a semi-structured questionnaire, interviews and the analysis of public news on the business model available in the analyzed case study. The research is empirical and uses exploratory, descriptive analysis to interpret the findings. The article focuses on the evaluation of AI impact on the agricultural sector and its potential to create new business models.

The study identified how AI can support the decision-making process leading to an increase in productivity, efficiency, product quality and cost reduction. AI helps increase these parameters through a continuous learning process and local production, and the possible decrease in prices directed toward the goal of zero km food with fresh products. AI is a winning technology to support the key elements of the vertical farm business model. However, it must be coupled with other devices, such as robots, sensors and drones, to collect enough data to enable continuous learning and improvement.

The research supports new research trends in AI applied to agriculture. The major implication is the construction of ecosystems between farms, technology providers, policymakers, universities, research centers and local consumer communities.

The ZERO case study underlines the potential of AI as a destructive technology that, especially in vertical farms, eliminates external conditions by increasing productivity, reducing costs and responding to production needs with adequate consumption of raw materials, boosting both environmental and social sustainability.

The study is original, as the current literature presents few empirical case studies on AI-supporting business models in agriculture. The study also favors valuable strategic implications for the policies to be adopted in favor of new business models in agriculture.

Improving productivity and efficiency has always been crucial for industrial companies to remain competitive. In recent years, the topic of environmental impact has become increasingly important. Published research indicates that environmental and economic goals can enforce or rival each other. However, few papers have been published that address the interaction and integration of these two goals.

In this paper, we identify both, synergies and trade-offs based on a systematic review incorporating 66 publications issued between 1992 and 2021. We analyze, quantify and cluster examples of conjunctions of ecological and economic measures and thereby develop a framework for the combined improvement of performance and environmental compatibility.

Our findings indicate an increased significance of a combined consideration of these two dimensions of sustainability. We found that cases where enforcing synergies between economic and ecological effects were identified are by far more frequent than reports on trade-offs. For the individual categories, cost savings are uniformly considered as the most important economic aspect while, energy savings appear to be marginally more relevant than waste reduction in terms of environmental aspects.

No previous literature review provides a comparable graphical treatment of synergies and trade-offs between cost savings and ecological effects. For the first time, identified measures were classified in a 3 × 3 table considering type and principle.

This research aims to explore people management (PM) dimensions in Nepalese recycling startups (R-startups).

It follows a case study and qualitative research approach. Information is collected from Internet searches and R-startups’ blogs. For research purposes, 12 cases out of 30 R-startups are selected using convenient and purposeful non-probability sampling methods.

Three major findings are as follows: (1) the founders of R-startups have become more environmentally aware and motivated to source materials, manufacture products and deliver them without harming the environment; (2) the founders are establishing work-flow to create future employment opportunities and (3) the PM dimensions in R-startups appear to be sustainable and apparently linked with Sustainable Development Goal (SDG) 12.5, which aims to reduce waste generation substantially through prevention, reduction, recycling and reuse.

Since researchers use widely accessible internet information, there is no possibility of interfering with the website's text and data. The analysis is solely based on the opinions of founders/co-founders of R-startups.

This research presents PM dimensions in R-startups and contributes to the literature in this new field of study. Although on a small scale, this research can provide a basis for minimizing circulatory gaps and closing the loop through circular business (CB). It also provides insights into managing waste in order to create opportunities and wealth.

This is one of the few unexplored areas of academic research. The critical PM dimensions investigated in this study can serve as a baseline for future theoretical development in the context of a specific country.

This study aims to investigate whether temperature affects the product quality of exporters and whether the effect is non-linear. More specifically, whether the impact of high temperatures differs from the impact of low temperatures, and whether different types of companies or industries are affected differently.

The paper uses detailed data covering all Chinese exporters from 2000 to 2016 to estimate the effects of temperature on the product quality of export firms. To clarify the relationship between them, the authors use a semi-parametric regression method, trying to test whether there is a non-linear relationship between temperature and the export quality of firms.

The increase in the number of high temperature days significantly reduces the quality of exported products, and this negative effect increases as the temperature rises. High temperature has the most significant negative impact on export quality for firms with low technical complexity, private firms and firms with no intermediate imports and located in historical hot cities. Product quality of both labor-intensive and capital-intensive firms will be affected by heat. High temperatures have the greatest negative impact on the export quality of newly entering products, followed by exiting products, with the least negative impact on persisting product.

To the best of the authors’ knowledge, this paper is the first to examine the impact of temperature on the quality of economic development. The findings of this paper again show that the potential economic impacts of global warming are huge. In addition to some potentially devastating impacts in the future, global warming is already causing imperceptible impacts in the present. Public and economic agents need to fully understand the possible adverse impacts of climate change and take corresponding adaptation measures to cope with global warming.