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The purpose of the current flow configurations is to bring to attention the thermophysical aspects of magnetohydrodynamics (MHD) Williamson nanofluid flow under the effects of Joule heating, nonlinear thermal radiation, variable thermal coefficient and activation energy past a rotating stretchable surface.

A mathematical model is examined to study the heat and mass transport analysis of steady MHD Williamson fluid flow past a rotating stretchable surface. Impact of activation energy with newly introduced variable diffusion coefficient at the mass equation is considered. The transport phenomenon is modeled by using highly nonlinear PDEs which are then reduced into dimensionless form by using similarity transformation. The resulting equations are then solved with the aid of fifth-order Fehlberg method.

The rotating fluid, heat and mass transport effects are analyzed for different values of parameters on velocity, energy and diffusion distributions. Parameters like the rotation parameter, Hartmann number and Weissenberg number control the flow field. In addition, the solar radiation, Joule heating, Prandtl number, thermal conductivity, concentration diffusion coefficient and activation energy control the temperature and concentration profiles inside the stretching surface. It can be analyzed that for higher values of thermal conductivity, Eckret number and solar radiation parameter the temperature profile increases, whereas opposite behavior is noticed for Prandtl number. Moreover, for increasing values of temperature difference parameter and thermal diffusion coefficient, the concentration profile shows reducing behavior.

This paper is useful for researchers working in mathematical and theoretical physics. Moreover, numerical results are very useful in industry and daily-use processes.

While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining to this correlation. The current research seeks to explore the impact of AI on entrepreneurship as an enabler for entrepreneurs, taking into account the crucial application of AI within all Industry 4.0 technological paradigms, such as smart factory, the Internet of things (IoT), augmented reality (AR) and blockchain.

A systematic literature review was used to analyze all relevant studies forging connections between AI and entrepreneurship. The cluster interpretation follows a structure that we called the “AI-enabled entrepreneurial process.”

This study proves that AI has profound implications when it comes to entrepreneurship and, in particular, positively impacts entrepreneurs in four ways: through opportunity, decision-making, performance, and education and research.

The framework's practical value is linked to its applications for researchers, entrepreneurs and aspiring entrepreneurs (as well as those acting entrepreneurially within established organizations) who want to unleash the power of AI in an entrepreneurial setting.

This research offers a model through which to interpret the impact of AI on entrepreneurship, systematizing disconnected studies on the topic and arranging contributions into paradigms of entrepreneurial and managerial literature.

The purpose of this study is to explore what design principles need to be considered in Enterprise Resource Planning (ERP) systems for humanitarian organizations (HOs) to enable agile, adaptive and aligned (Triple-A) humanitarian supply chain capabilities and digitize humanitarian operations.

This study follows an embedded case study approach with a humanitarian medical relief organization, Médecins Sans Frontières (MSF), which engaged in a multiyear ERP design at its humanitarian field missions.

This research shows that ERP systems for humanitarian organizations should be designed as unique systems addressing humanitarian organizations' challenges and unique missions, their value generation processes, and resource base in an effort to improve organizational performance. This study presents 12 general design principles that are unique for humanitarian organizations. These design principles provide a high-level structure of guidance under which specific requirements can be further defined and engineered to achieve success.

The results of this study are based on a single case study limiting generalizability. However, the case study was analyzed and presented as an embedded case study with five autonomous subunits using different business processes and following different adoption and implementation approaches. Therefore, the findings are derived based on considerable variance reflective of humanitarian organizations beyond MSF.

This study recognizes that HOs have unique routines that standard commercial ERP packages do not address easily at the field level. The primary contribution of this research is a set of design principles that consider these unique routines and guide ERP development in practice. National and international HOs that are planning to implement information systems, private companies that are trading partners of HOs as well as vendors of ERP systems that are looking for new opportunities would all benefit from this research.

This study fills the gap in the humanitarian literature regarding the design of ERP systems for humanitarian organizations that enable Triple–A supply chain capabilities and it advances the knowledge of the challenges of ERP design by HOs in the context of humanitarian operations.

This paper aims to explore the impact of fourth-party logistics (4PL) adoption on the agility, adaptability and alignment (AAA) capabilities within humanitarian supply chains (HSCs).

Semi-structured interviews with individuals from a large non-government organisation were combined with secondary data to assess the influence of 4PL adoption on AAA capabilities in HSCs.

The results indicate that HSCs exhibit some of the AAA antecedents but not all are fully realised. While 4PL positively affects the AAA capabilities of HSCs, its adoption faces challenges such as the funding environment, data security/confidentiality and alignment with humanitarian principles. The study suggests an AAA antecedent realignment, positioning alignment as a precursor to agility and adaptability. It also identifies three core antecedents in HSCs: flexibility, speed and environmental uncertainty.

The study shows the positive impact 4PL adoption can have on the AAA capabilities of HSCs. The findings have practical relevance for those wishing to optimise HSC performance through 4PL adoption, by identifying the inhibiting factors to its adoption as well as strategies to address them.

This research empirically explores 4PL’s impact on AAA capabilities in HSCs, highlighting the facilitating and hindering factors of 4PL adoption in this environment as well as endorsing a realignment of AAA antecedents. It also contributes to the growing research on SC operations in volatile settings.

The environment and human health can be jeopardized if E-waste is not properly managed. Global E-waste production continued to rise as a result of rapid technological advancement and increased purchasing power among the global population. One of the possible sustainable methods for managing E-waste is to recycle E-waste. This study aims to find out which demographic factor has the most influence on local residents' understanding of E-waste recycling in Selangor. Selangor is one of Peninsular Malaysia's wealthiest states, with a wide range of ethnic and racial backgrounds among its residents. In 2019, 779 people took part in a survey to learn more about local residents' understanding of E-waste recycling and the social and demographic factors influencing that understanding. Three characteristics of a person's background stand out: their educational attainment, the nature of their job, and the amount of money they make. The p-value for each of these variables was less than.05. Respondents with the following social backgrounds have the best understanding of E-waste recycling: higher education, employment in the private sector, and a monthly income between RM1,501 and RM3,000. The government and other stakeholders, such as non-profits and the private sector, should take more comprehensive and coordinated actions to ensure that the public is informed about E-waste recycling.

While different attempts have been made to use artificial intelligence (AI) to codify communicative behaviors and analyze startups’ video presentations in relation to crowdfunding projects, less is known about other forms of access to entrepreneurial finance, such as video pitches for candidacies into startup accelerators and incubators. This research seeks to demonstrate how AI can enable the startup selection process for both entrepreneurs and investors in terms of video pitch evaluation.

An AI startup (Speechannel) was used to predict the outcomes of startup video presentations by analyzing text, audio, and video data from 294 video pitches sent to a leading European startup accelerator (LUISS EnLabs). 7 investors were also interviewed in Silicon Valley to establish the differences between humans and machines.

This research proves that AI has profound implications with regards to the decision-making process related to fundraising and, in particular, the video pitches of startup accelerators and incubators. Successful entrepreneurs are confident (but not overconfident), engaging in terms of speaking quickly (but also clearly), and emotional (but not overemotional).

This study not only fills the existing research gap but also provides a practical guide on AI-driven video pitch evaluation for entrepreneurs and investors, reshaping the landscape of entrepreneurial finance thanks to AI. On the one hand, entrepreneurs could use this knowledge to modify their behaviors, enabling them to increase their likelihood of being financially backed. On the other hand, investors could use these insights to better rationalize their funding decisions, enabling them to select the most promising startups.

This paper makes a significant contribution by bridging the gap between theoretical research and the practical application of AI in entrepreneurial finance, marking a notable advancement in this field. At a theoretical level, it contributes to research on managerial decision-making processes – particularly those related to the analysis of video presentations in a fundraising context. At a practical level, it offers a model that we called the “AI-enabled video pitch evaluation”, which is used to extract features from the video pitches of startup accelerators and incubators and predict an entrepreneurial project’s success.

The Ukraine crisis, which began with Russia's military intervention, has violently jolted the modern world. The egregious Russian invasion of Ukraine, on the other hand, has arguably altered the trajectory of the world order. This whiff of war does not exclude any state because all states in the world system are economically, politically, and socially interconnected and dependent on one another. Bangladesh is also feeling the effects of the Ukraine crisis. The crisis has highlighted some challenging aspects of Bangladesh's foreign policy, testing the robustness and independence of its decision-making process regarding United Nations resolutions. Myanmar, like Bangladesh, has appeared befuddled in its response to the crisis. This paper examines how Bangladesh and Myanmar's foreign policy anticipated an unwanted labyrinth by the crisis, which made its moral credibility critical to some extent. Furthermore, the paper discusses how these two countries’ foreign policy trajectories became entangled at a difficult crossroads. We used secondary data sources backed up by scholarly works on Bangladesh and Myanmar foreign policy, relevant books, recent reports, and writings on the subject for this article. This paper also sheds light on Bangladesh's U-Turn in supporting and speaking out in support of the UN resolution on Ukraine's humanitarian crisis.

Drawing on the resource-based view (RBV), this study investigates how tax planning affects the likelihood of financial default in different stages of the corporate life cycle.

Collecting a large sample of US firms between 1989 and 2016, hypotheses are tested using a hazard model. Several robustness and endogeneity checks corroborate the main findings.

The results show that tax-planning firms are less likely to default in the introduction and decline stages, while they are more likely to default in the growth and maturity stages. The findings suggest that introductory and declining firms use cash resources obtained from tax planning efficiently to meet their needs and acquire other useful resources. In growing and mature firms, tax aggressiveness generates unnecessary slack resources, weakens managerial discipline and increases reputational risks.

The results shed light on the benefits and costs associated with tax planning throughout firms' life cycle, holding great significance for managers, investors, lenders and other stakeholders.

This study contributes to the literature that examines resource management at different life cycle stages by showing that cash resources from tax planning are managed in distinctive ways in each life cycle stage, having a varied impact on the likelihood of default. The authors shed light on underexplored cash resources. Furthermore, this study shows the potential linkages between the agency theory and RBV.

The study examined the influence of humanitarian organizations’ culture and financial service providers’ technology readiness on the usage of digital cash-based assistance by humanitarian organizations, the influence of Humanitarian Organization Culture on Financial providers’ technology readiness and the mediating role of financial service providers’ technology readiness on the relationship between the culture in humanitarian organizations and their usage of digital cash-based assistance.

A quantitative cross-sectional survey design was used. The target population consisted of humanitarian organizations that were members of the Uganda Cash Consortium (UCC). The research hypotheses were tested using SMART PLS version 4.

The culture in humanitarian organizations and financial service providers’ technology readiness positively influences the usage of digital cash-based assistance by humanitarian organizations during humanitarian crises, and humanitarian organizations’ culture positively influences financial service providers’ technology readiness. Financial service providers’ technology readiness fully mediates the relationship between the culture of humanitarian organizations and the usage of digital cash-based assistance by humanitarian organizations during humanitarian crises.

The study mainly focuses on culture in humanitarian organizations and financial service providers’ technology readiness when examining the usage of digital cash-based assistance during humanitarian crises. Further, financial service providers’ technology readiness is examined using a humanitarian organization, financial service provider and beneficiary/persons of concern’s point of view rather than the government’s point of view.

Research examining determinants for digital cash-based assistance usage in humanitarian crises is scarce. Further, empirical research examining the influence of the humanitarian organizations’ culture and financial service providers’ technology readiness in promoting the usage of digital cash-based assistance in humanitarian crises, the impact of humanitarian organizations’ culture on financial service providers’ technology readiness and the mediating role of financial service providers’ technology readiness on the relationship between the culture of humanitarian organizations and usage of digital cash-based assistance in humanitarian crises are non-existent. The majority of research and grey literature focuses on how digital cash-based transfers can be used to enhance financial inclusion in refugee contexts.

The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and summarises the impact of SCA on performance found in previous empirical papers and determines the influence of several identified moderators.

Using a meta-analysis approach based on a systematic literature review, a total of 63 empirical papers comprising a sample of 14,469 firms were meta-analysed to consider substantive (type of performance and SCA operationalisation) and extrinsic (economic region and industry) moderators.

Results confirm a significantly large, positive correlation between SCA and performance. None of the analysed moderators has enabled the identification of any significant differences between the SCA and performance correlations by subgroup. However, high heterogeneity in total variance, both in the full sample and the subgroups by moderator, demands further rigorously reported empirical research on this topic with clearly conceptualised variables and frameworks and the use of validated scales.

Several research gaps and best practice recommendations have been indicated to improve future empirical research on this topic.

Practitioners in different economic regions and industries will find consistent evidence of improvements in performance through SCA.

No meta-analysis has been found in previous research to estimate the value of the correlation between SCA and performance and the influence of moderating variables.