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This study explores the influence of gender-specific reactions to social media advertisements on purchase intentions, addressing a gap in existing research. It examines how these reactions affect the perceived value of ads and, consequently, the intention to purchase, with a particular focus on gender as a moderating factor. The primary aim is to analyse how gender moderates the relationship between consumers’ perceptions of the value of social media ads and their subsequent purchase intentions.

A non-probability convenience sampling method was employed to collect data from 423 social media users in Malaysia at shopping malls. Respondents interacted with advertisements on Facebook, Instagram or TikTok and completed a survey. Descriptive analysis was performed using SPSS 25. The study utilized structural equation modelling (SEM) to test the structural and measurement models. Multigroup analysis (MGA) was conducted using SMART-PLS 4.0.9.6 to assess moderation effects based on gender differences.

The findings reveal that advertisements emphasizing entertainment significantly influence female purchase intentions, whereas ads highlighting product or service values resonate more with males, challenging common stereotypes. Informative and creative ads show universal appeal across genders, underscoring the importance of diverse ad elements in shaping consumer behaviour.

This study advances the advertising value model by specifically identifying gender-based differences in how entertainment and perceived value in social media ads influence purchase intention. It uniquely reveals that females are more responsive to entertainment-focused and value-conscious ads. These findings provide targeted strategies for advertisers to design gender-sensitive campaigns, enhancing the model’s relevance in contemporary digital advertising contexts.

This study aims to investigate the effect of the board of directors on financial performance, either directly or indirectly through the existence of risk management after the issuance of the Palestinian Code on Corporate Governance (PCCG) in Palestine.

This study presents an empirical investigation of 31 nonfinancial Palestinian-listed companies from 2010 to 2016. This study utilizes the structural equation modeling (SEM) model.

The results of the SEM model find that there is a significant positive effect of the existence of risk management and the tenure-Chief Executive Officer (CEO) on financial performance. However, CEO duality has a significant negative effect on financial performance. The results also find that the effect of CEO duality and board size are significantly positive on financial performance through the existence of risk management.

This study adds to the existing literature by investigating the effect of the board of directors on financial performance, either directly or indirectly through the existence of risk management in Palestine as one of the youngest stock exchanges in the region that assists in testing the validity of agency theory in a young and small emerging Islamic market context.

The results of this paper are significant to shareholders and managers of companies to make proper choices in order to secure the interests of stakeholders and increase the flow of capital and foreign investment.

To the best of the authors’ knowledge, it is one of the first papers to investigate the effect of the board of directors and financial performance, either directly or indirectly through the existence of risk management in Palestine.

Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.

A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.

The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.

The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.

The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.

The emergence of the COVID-19 epidemic has considerably increased the intricacy of information, exacerbating the difficulties firms encounter in efficiently processing and understanding accurate data and knowledge. Consequently, the COVID-19 epidemic has profoundly exacerbated production ambiguity for firms, thereby disrupting their regular business operations and supply chain activities. Digital technologies (DTs) are essential tools for firms to process and interpret information and knowledge, thereby improving their resilience against supply chain interruptions.

This research investigates the effect of digital technologies on firm resilience throughout COVID-19, utilizing PLS-SEM and artificial neural networks (ANN) derived from a comprehensive survey of Pakistani manufacturing firms.

Our research assesses the mediating role of supply chain integration, memory, and absorptive capacity, as well as the moderating influence of information complexity. The outcomes demonstrate that supply chain integration (SCI), memory (SCM), and absorptive capacity (SCAC) mediate digital technologies’ influence on firm resilience. Moreover, in situations where information is highly complex, DTs have a greater effect on a firm’s resilience.

The results enhance our comprehension and awareness of the resilience-related effects of DTs and offer significant management insights for strengthening firm resilience in the setting of the COVID-19 pandemic.