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Humans engage in two types of processing. One system is the rapid, affect-based, and intuitive, “experiential” system, while the other is the relatively slower, cognition-based, and reflective, “rational” system. Extant work focuses on the consequences of having one system relatively dominant over the other. In the current research, we show that consumers who use neither system to a great degree (i.e., low-system consumers) are vulnerable to undesirable outcomes. Specifically, four studies demonstrate that these consumers face confusion in the process of making judgments due to their lack of processing inputs and resolve this confusion by making judgments that are implied by salient stimuli, regardless of the stimuli's diagnostic value. The result is an unbalanced, easily biased, and “blown away by the gust of wind” judgment process that both policymakers and low-system consumers should be vigilant to.

Despite the widespread use of social media globally, SMEs exhibit a below-average adoption rate. This raises critical questions about the reasons behind SMEs' limited engagement with this ubiquitous platform. The primary objective of this research is to explore the factors influencing the utilization of social media by small and medium-sized enterprises (SMEs) and assess its influence on brand awareness and customer engagement in the Jordanian context.

This study utilizes a quantitative research approach to examine SMEs' adoption of social media. Data are collected from 290 SMEs in Jordan through paper-based and online surveys employing purposive sampling. The validity of the proposed model is confirmed using a partial least squares (PLS) approach, specifically employing SmartPLS 4 for analysis.

The results reveal that the examined model successfully captures the dynamics of social media usage among SMEs, shedding light on the significant drivers influencing their decision to use social media in their activities. The findings also underscore the pivotal role of social media usage in SMEs, particularly in enhancing brand awareness and fostering customer engagement within the Jordanian business landscape.

This study significantly contributes to the existing literature by highlighting the practical implications of social media activity, specifically in the context of SMEs. Using the UTAUT2 model to examine the drivers of social media use among SMEs and extend it to assess the broader impact of social media usage on brand awareness and customer engagement adds uniqueness to the study, providing a more nuanced view of social media usage in the SME sector.

The main point in this chapter is that Sustainable Development Goal (SDG) 4 targets cannot be achieved without education justice, which entails that every child, young person and adult benefit from quality education and lifelong learning. There is no justification for the injustices arising from poor-quality education and exclusion as they exist today. Accordingly, tackling the problem of social, political and economic exclusion that emerges from the education sector, and the limitations they impose on the prospects of some individuals, must be prioritised to expedite the realisation of SDG 4. That entails, among other things, ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all. Drawing on the nexus between education justice in basic and higher education, this chapter exposes the nature of the challenges that sustain the injustices of educational exclusion and poor-quality education. These include the knock-on effects that injustices in basic education have on higher education, especially for students from marginalised schools. Interventions that seek to advance education justice towards the attainment of SDG 4 are also discussed.

The purpose of this paper is to improve autonomous flight performance of a fixed-wing unmanned aerial vehicle (UAV) via simultaneous morphing wingtip and control system design conducted with optimization, computational fluid dynamics (CFD) and machine learning approaches.

The main wing of the UAV is redesigned with morphing wingtips capable of dihedral angle alteration by means of folding. Aircraft dynamic model is derived as equations depending only on wingtip dihedral angle via Nonlinear Least Squares regression machine learning algorithm. Data for the regression analyses are obtained by numerical (i.e. CFD) and analytical approaches. Simultaneous perturbation stochastic approximation (SPSA) is incorporated into the design process to determine the optimal wingtip dihedral angle and proportional-integral-derivative (PID) coefficients of the control system that maximizes autonomous flight performance. The performance is defined in terms of trajectory tracking quality parameters of rise time, settling time and overshoot. Obtained optimal design parameters are applied in flight simulations to test both longitudinal and lateral reference trajectory tracking.

Longitudinal and lateral autonomous flight performances of the UAV are improved by redesigning the main wing with morphing wingtips and simultaneous estimation of PID coefficients and wingtip dihedral angle with SPSA optimization.

This paper originally discusses the simultaneous design of innovative morphing wingtip and UAV flight control system for autonomous flight performance improvement. The proposed simultaneous design idea is conducted with the SPSA optimization and a machine learning algorithm as a novel approach.

This study aims to examine how female directors on corporate boards and audit committees, and auditor affiliations (Big 4 versus Egyptian firms affiliated with foreign auditors), influence audit fees. This examination is driven by the global call for increased female representation in leadership roles and its potential implications for audit quality and financial transparency.

A sample of non-financial companies listed on the Egyptian Stock Exchange is used for the period 2011–2020. The authors used multivariate regression models, the Heckman two-stage and tokenism to support the analysis.

The results are threefold. First, this analysis reveals that female directors, whether on corporate boards or audit committees, are more likely to choose higher-quality audits in the form of high audit fees. Second, both Big 4 firms and Egyptian audit firms affiliated with foreign auditors are positively associated with audit fees and earn significant audit fee premiums. Third, a minor difference in audit fee premiums could be attributed to the existence of female directors.

Future research may expand the analysis performed in this study by investigating the characteristics related to female directors (e.g. education, experience and age) on audit fees.

This study suggests insights for regulatory bodies, corporate decision-makers, auditors and corporate governance researchers. For instance, this study reveals that the Big 4 are not homogenous and provide different audit quality levels along with significant audit fee premiums.

This study extends and contributes to the growing literature on female representation in corporate leadership. First, this study adds to the limited research in Egypt by examining the effect of female board representation on audit quality. Second, this study adds to the extant literature on the gender of financial experts by demonstrating that female financial expert is more likely to demand high-quality audits. Finally, the results have significant implications for policymakers. For instance, this study reveals that the Big 4 are not homogenous and provide different audit quality levels along with significant audit fee premiums.

This study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.

This paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.

This research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.

Limitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.

The findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.

The research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.

To the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.