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The aim of this study is to investigate how the demographics and appearance cues of potential social engineers influence the likelihood that targets will trust them and accept security risk.

Data were collected through an online survey of 635 participants, including 322 participants from Arab countries and 313 participants from the UK. The survey presented scenarios with 16 personas who offered participants the use of their mobile internet hotspot. These personas were characterized by combinations of age (young vs aged), gender (male vs female), ethnicity (Arab vs UK) and look formality (casual vs formal). The study measured both participants’ offer acceptance and trust in the persona.

Results indicated a higher likelihood of offer acceptance from female and aged personas, as well as a greater trust in these groups. Arab participants showed a preference for personas with Arabian ethnic features. In both samples, trust and acceptance were influenced by the persona’s appearance, which was found to be gender-dependent; with female personas in casual attire and male personas in formal attire being trusted more in comparison to female with formal attire and male with informal, respectively.

Findings highlight the importance of incorporating awareness of appearance-based biases in cybersecurity training, suggesting the need for culturally sensitive training programs to enhance defense against social engineering.

This study distinguishes itself by elucidating the influence of social engineers’ demographic and appearance cues on the likelihood of individuals to take security risks, thus addressing a significant gap in the literature which has traditionally emphasized the profiles of targets.

Considering the existing evidence on the impact of female board members on the default risks of an organization, the purpose of this study is to investigate the effect of board gender diversity, alongside institutional characteristics and macroeconomic factors, on the financing costs of microfinance institutions (MFIs).

This study collected unbalanced panel data of 1,190 unique MFIs between 2010 and 2018 from the World Bank. The collected data, which covers a total of 95 developing and emerging countries, was thereafter analyzed using the pooled ordinary least squares and random effects model. To overcome endogeneity and omitted variable bias (e.g. time-invariant variables), the authors have also used the generalized method of moments and fixed effects model, respectively. Different proxies of board gender diversity and sub-sample analysis by regions were further undertaken to examine the robustness of the obtained results.

The findings of this study revealed that board gender diversity has a statistically significant negative effect on the financing costs of MFIs. This suggests that a gender-diverse board can generate cheaper funding for MFIs by minimizing their default risks through effective monitoring and strategic management. Furthermore, the negative impact of board gender diversity on financing costs appears to be more pronounced when there is a minimum of two female board members in the boardroom of MFIs. The results of this study remain consistent and valid regardless of alternate model specifications (e.g. sub-sample analysis, use of alternative proxies of board gender diversity and application of different estimators) and endogeneity issues. Ultimately, the findings in this study reiterate the importance of promoting and implementing gender diversity in the boardroom to minimize the financing costs of MFIs.

This study investigated the relationship between board gender diversity and financing costs of MFIs by using relatively recent and global data. The minimum number of female board members required to significantly reduce the financing costs of MFIs was also identified.

This study explores the impact of intellectual capital on the adoption of supply chain analysis by manufacturing companies. The authors also examine the potential role of supply chain analytics in supply chain innovation and agility.

Data were gathered from 268 managers and directors of Jordanian companies. The hypotheses were tested using the Smart PLS software.

The results reveal that human, structural and social capital significantly impact supply chain analytics. Moreover, the findings show that supply chain analytics significantly affect supply chain innovation and agility. In other words, cultivating intellectual capital is crucial for utilizing supply chain analysis to enhance performance in terms of innovation and agility.

This study adds to the literature on the determinants of the adoption of supply chain analytics and its function in establishing the dynamic capabilities of businesses, including supply chain innovation and agility.

This study investigates the effects of institutional pressures on the adoption of supply chain analytics (SCA) and its subsequent impact on supply chain (SC) innovation and frugal innovation. It also examines the correlation between SC innovation and frugal innovation.

The study collected data from manufacturing companies in Jordan. PLS path analysis is applied.

The PLS path analysis showed that coercive pressures did not significantly affect the outcome, but both normative and mimetic ones were found to have significant effects on SCA adoption. The study also shows that SCA plays a significant role in SC innovation and frugal innovation. Furthermore, it demonstrates that SC innovation significantly impacts frugal innovation.

Overall, these findings provide valuable theoretical implications to the literature by advancing our understanding of the interactive relationships between institutional pressures, SCA, SC innovation and frugal innovation. Understanding the role that institutional pressures play in SCA adoption and its subsequent impact on SC innovation and frugal innovation enables organizations to strategically position themselves for competitive advantage and sustainable growth within the dynamic field of supply chain management.

This study aims to synthesize two organic heterocyclic compounds, (2E,3E)-6-chloro-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR1) and (2E,3E)-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR2), characterize them using nuclear magnetic resonance spectroscopy (1H-NMR and 13C-NMR) and evaluate their effectiveness as corrosion inhibitors in an acidic environment (15% HCl).

The synthesized compounds, MR1 and MR2, were tested for their corrosion inhibition properties using potentiodynamic polarization and electrochemical impedance spectroscopy. Post-corrosion, the steel surface was analyzed with scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and atomic force microscopy (AFM) to confirm the adsorption of the compounds. The experimental findings were further supported by density functional theory calculations and molecular dynamics simulations.

The results indicated that both MR1 and MR2 exhibit significant anticorrosive activity in a 15% HCl environment. The analyses performed with SEM, EDX and AFM confirmed the effective adsorption of the inhibitors on the steel surface, forming a protective layer. Theoretical studies provided additional insights into the adsorption mechanisms and stability of the inhibitors.

This work introduces novel organic heterocyclic compounds based on quinoxalinone as effective corrosion inhibitors in acidic environments. The combined experimental and theoretical approach provides a comprehensive understanding of their anticorrosive behavior.

This systematic review aims to comprehensively explore the existing literature on the use of corporate communication within the realm of social media.

A total of 136 peer-reviewed journal articles are explored and analysed using both performance and bibliometric analysis.

This review identifies five main findings: (1) trends in corporate social media research that highlight the growth trajectory of research on social media use for corporate disclosure, (2) geographical coverage of studies indicating the concentration of research in certain regions, such as the USA, followed by China and the UK, with notable gaps in others, such as developing countries, (3) theoretical frameworks employed demonstrate that various theoretical frameworks are utilized, although a significant portion of the studies do not specify any theoretical underpinning, (4) social media platforms studied, confirming Twitter to be the most studied channel followed by Facebook and (5) thematic analysis of articles on disclosure type that categorized the articles using bibliometric analysis into five themes of disclosure: general disclosure, corporate social responsibility-related information, financial information, CEO announcements and strategic news communication. A subsequent cross-theme analysis classifies disclosure determinants and consequences of corporate social media usage.

Through a comprehensive and systematic analysis of existing research, this review offers novel insights into the current state of corporate communication on social media. It consolidates current knowledge, highlights under-explored areas in the existing literature and proposes new directions and potential avenues for future research.

This study aims to assess the relationship between environmental, social and governance (ESG) strategy and sustainable performance, in addition to exploring the mediating role of green innovation in this connection. Moreover, age, size and membership in a Protected Designation of Origin are incorporated as control variables to increase the precision of the relationships examined.

A conceptual model was created to meet the intended research objectives and then validated using partial least squares structural equation modeling with primary data obtained from a survey administered to 196 Spanish wineries, which took place between September 2022 and January 2023.

The study findings indicate that the implementation of an ESG strategy has a positive and significant relationship with the sustainable performance of wineries. In addition, green product and process innovation appear to partially mediate this relationship.

The sample size (196 wineries) limits the generalizability of the findings to the population under study, which suggests caution in their interpretation. In addition, the cross-sectional design of the study prevents from observing dynamic changes over time.

This research significantly advances the understanding of ESG strategy through a holistic view of its relationship with the sustainable performance of the wine industry. Indeed, it fills a critical gap in the academic literature, as ESG strategy has been scarcely explored in the wine industry setting, despite the specific environmental and social challenges faced by this sector. Furthermore, it pioneers the investigation of green innovation as a mediating factor in the relationship between ESG strategy and sustainable winery performance, providing new findings that can shape strategic management practices in the wine sector.

This study aims to explore how firm-level and country-level sustainability governance can shape corporate sustainability performance.

This study uses an international sample of 2,460 observations from 2010 to 2019 for firms in environmentally-sensitive industries (i.e. energy). Various measures have been used to measure corporate sustainability performance, firm-level and country-level sustainability governance. This study uses a range of statistical models, including fixed effects, random effects, a two-step generalized method of moments, along multiple sensitivity checks to provide accurate empirical evidence.

A specialized sustainability committee and environmental management team enhance corporate sustainability performance. Likewise, a country’s regulatory quality and its environmental performance positively affect the sustainability performance of firms operating in this country. Besides, companies operating in a country with a higher gender gap have a lower corporate sustainability performance.

Energy firms should prioritize establishing sustainability committees or environmental management teams to enhance sustainability practices. Likewise, policymakers should develop robust regulatory frameworks that promote sustainability. Besides, countries should enforce policies promoting gender equality to enhance corporate sustainability.

This study contributes to the literature on environmentally-sensitive industries by examining both firm-level and country-level sustainability governance attributes using three proxies (environmental, social and governance, sustainability strategy and environmental performance) to measure sustainability performance, providing a holistic perspective of how governance attributes influence sustainability outcomes in energy industries.

This study, using stakeholder theory and diffusion of innovations (DOIs), aims to examine the readiness of Omani health-care firms to adopt artificial intelligence (AI). This adoption is seen as a key step towards ensuring green innovation and sustainable performance (SP) in the health-care sector.

This study adopted convenience and referral sampling techniques to enhance the response rate for the limited number of health-care firms using AI. Using explanatory research design, structure equation modelling and employees as the unit of analysis, a random sample technique is used to distribute the structured questionnaire to five hospitals in North Al-Batinah, including Shinas, Liwa and Sohar cities. Smart PLS 4.1 analyses the responses.

The research demonstrates that AI could significantly enhance SP, a finding that is of utmost importance in the current health-care landscape. This study also tested green knowledge sharing as a boundary condition. Furthermore, the study’s findings indicate that AI leads to the emergence of green innovation and SP, suggesting that firms are willing to adopt AI and achieve the sustainable development goals (SDGs).

This study implies that stakeholders, including the Omani Government and Middle Eastern firms, should prioritize investments in AI technologies tailored to sustainability initiatives.

This research study makes three significant and unique contributions. Firstly, it uniquely integrates stakeholder and DOIs theories to explain the mediating function of green innovation and the moderating effect of green knowledge sharing. Secondly, it provides a unique Middle Eastern context, where the government’s focus on the health sector is crucial. Finally, this study outlines a clear and actionable pathway for the Middle East to achieve the SDGs, thereby enlightening the reader on the potential of AI in the health-care sector.

Construction waste reduction (CWR) plays a vital role in achieving sustainability in construction. A good CWR practice can result in optimizing material usage, conserving natural resources, limiting environmental pollution, protecting the environment and enhancing human health. In this regard, the purpose of the current study is to identify the most relevant organizational policies that aid in waste reduction and concurrently explores the congruent measures to be adopted during the construction process in the Indian high-rise building sector.

The research findings were obtained through a mixed- method approach. Content analysis was used to identify waste reduction measures (variables) targeting on the two domains of construction – “waste-efficient execution” and “waste – mitigating organizational policies.” Furthermore, the authors explored and documented the key measures from the identified waste reduction measures using the constraint value of the relative importance index. As the next step, the study listed the theoretical hypothesis based on expert interviews and tested the theory through confirmatory factor analysis.

The results revealed that “waste sensitive construction techniques and strategies” as the most significant category under the domain “Execution” with a path coefficient of 0.85. Concurrently, the study has also determined that “control procedures for budget, quality and resources” as the most effective organizational approach in reducing construction waste in the Indian building industry, with a path coefficient of 0.83.

The current research is context-sensitive to the Indian construction sector. It presents the stakeholder’s perspective on construction waste reduction and the relevant measures to be implemented to reduce construction waste in high-rise building projects in India. It can also act as a concordance for decision-makers to further focus on CWR management and aid in formulating policies suitable for the Indian context.