Search results

In this paper, we propose and test a conceptual model of how the psychological constructs of immersion, cognitive load (CL) and perceived autonomy (PA) relate to the performance of users at cybersecurity games.

We test the proposed model through an experimental study of 208 participants who play a cybersecurity game and answer a survey. We use structural equation modeling to test our hypotheses and further compute Shapley values to assess the contribution of each construct to game outcomes.

Results reveal that immersion is an important explanator of CL, PA and outcome. Additionally, our statistical tests show how the inclusion of CL in the conceptual model brings out the relation between autonomy and game-outcome.

This study combines constructs stemming from different theories to propose a conceptual model that better explains game performance. The findings will help enhance learner engagement and motivation. In turn, this can potentially add value to designing cost-effective training methods that can address the growing range of cybersecurity issues in enterprises.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

This paper used Zikic’s (2015) integrated framework for managing diversity to review the skilled migrant literature and explore reasons non-English-speaking background (NESB) skilled migrants (SMs) are disadvantaged in the host country recruitment market. This research examines organisations’ role in attracting and facilitating the entry of NESB SMs to their organisations and embracing diversity and inclusion in the workplace.

The authors conducted a systematic literature review following the integrated framework combining the intelligent career theory and the resource-based view. This framework allows the exploration of the challenges NESB SMs face with their career capital in the host country concerning the people management systems and processes organisations often use in recruitment.

This review revealed multiple challenges NESB SMs face when negotiating their workplace transition in the host country destinations. The study shows that the underutilisation and underemployment among NESB SMs are partly caused by these SMs’ foreign experiences but mainly by the host countries’ “NESB SM-unfriendly” recruitment practices. It also uncovers gaps between macro, meso and micro levels in SM recruitment.

A limitation inherent in a systematic literature review is that the effectiveness of the search is contingent upon the quality of the search strings used. Second, the core themes in the synthesis were identified following Zikic’s (2015) integrated framework and focused only on individual/micro factors of SMs and meso/organisational factors. Many other structural and contextual factors were not included in the review. This review is also limited to NESB SMs’ recruitment. Nonetheless, this process helps us achieve the core aim set for this review, to explore the reasons behind the hardships NESB SMs face when searching for ways to enter the host professional job market and the role of organisations in attracting and facilitating NESB SMs’ labour market entry.

This research connected NESB SMs’ micro-level difficulties to the meso layer of organisations’ HRM policies. This review clarified the role of organisational strategic HRM in attracting and welcoming NESB SMs into their organisation before leveraging their career diversity. The findings from the review also assisted in extending Zikic’s (2015) integrated framework.

The focus of this study was to evaluate the relationship between research publications in the pesticide field, a country’s gross domestic product (GDP) and GDP per capita. The study aims to analyze pesticide use in association with a country’s population and research publications. The purpose of this study is to uncover the country’s contribution to pesticide research and assess the financial resources allocated to it as a percentage of their GDP by exploring these factors.

The Web of Science database was used to retrieve data for the period of 2001–2020. The use of scientometric indicators allowed for the analysis of the collaborative patterns and active performance of countries in pesticide research. Socio-economic analysis was used to determine the contribution of countries toward pesticide research.

This study demonstrated a strong association (0.952%) between a country’s GDP and its research publications in the field of pesticide research. Countries, such as Denmark, Belgium and Australia, have benefited from global collaboration, which has enhanced their research efforts. Despite ranking lower in pesticide utilization, India focused on pesticide research, as indicated by its high publication/GDP per capita ratio (0.26).

Research on pesticides directly impacts agricultural practices, which, in turn, influence the economic production of the agricultural sector. Changes in pesticide usage can have inference for crop yields, food price and, eventually, the GDP. Comparative analysis can assist in evaluating the efficiency of regulatory policies in balancing ecological concerns with economic interests. Changes in regulations may impact both pesticide usage and economic outcomes.

This study aims to investigate the efficacy of Ag@GO/Na₂SiO₃ nanocomposite in eliminating As from aqueous solutions. Employing response surface methodology, the research systematically examines the adsorption process.

Various experimental parameters including sample pH, contact time, As concentration and adsorbent dosage are optimized to enhance the As removal process.

Under optimized conditions, the initial As concentration, contact time, pH and adsorbent dosage are determined to be 32 ppm, 50 mins, 6.5 and 0.4 grams, respectively. While the projected removal of As stands at 97.6% under these conditions, practical application achieves a 93% removal rate. Pareto analysis identifies the order of significance among factors as follows: adsorbent dosage > contact time > pH > As concentration.

This study highlights the potential Ag@GO/Na₂SiO₃ as a promising adsorbent for efficiently removing industrial As from aqueous solutions, and it is likely to have a good sufficiency in the filtration of water and wastewater treatment plans to remove some chemical pollution, including paints and heavy metals.

The simplicity of the nanocomposite preparation method without the need for advanced equipment and the cheapness of the raw materials and its potential ability to remove As are the prominent advantages of this research.

Predictive digital twin technology, which amalgamates digital twins (DT), the internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and predictive purposes, has demonstrated its effectiveness across a wide array of industries. Nonetheless, there is a conspicuous lack of comprehensive research in the built environment domain. This study endeavours to fill this void by exploring and analysing the capabilities of individual technologies to better understand and develop successful integration use cases.

This study uses a mixed literature review approach, which involves using bibliometric techniques as well as thematic and critical assessments of 137 relevant academic papers. Three separate lists were created using the Scopus database, covering AI and IoT, as well as DT, since AI and IoT are crucial in creating predictive DT. Clear criteria were applied to create the three lists, including limiting the results to only Q1 journals and English publications from 2019 to 2023, in order to include the most recent and highest quality publications. The collected data for the three technologies was analysed using the bibliometric package in R Studio.

Findings reveal asymmetric attention to various components of the predictive digital twin’s system. There is a relatively greater body of research on IoT and DT, representing 43 and 47%, respectively. In contrast, direct research on the use of AI for net-zero solutions constitutes only 10%. Similarly, the findings underscore the necessity of integrating these three technologies to develop predictive digital twin solutions for carbon emission prediction.

The results indicate that there is a clear need for more case studies investigating the use of large-scale IoT networks to collect carbon data from buildings and construction sites. Furthermore, the development of advanced and precise AI models is imperative for predicting the production of renewable energy sources and the demand for housing.

This paper makes a significant contribution to the field by providing a strong theoretical foundation. It also serves as a catalyst for future research within this domain. For practitioners and policymakers, this paper offers a reliable point of reference.

Public libraries serve as critical institutions for disseminating information, particularly in rural areas where access to educational and economic resources is limited. The study examined the role of public libraries in the dissemination of information to rural dwellers in Kogi State, Nigeria. It aims to identify services offered, user satisfaction levels, contributions to information access, methods of dissemination and challenges faced by public libraries in fulfilling their mandate.

The study employed a descriptive survey research method. The questionnaire was used as a data collection instrument. The population of the study comprised 2,620 registered members of public libraries of Kogi State, Nigeria. Proportionate stratified sample random sampling was used to select 262 members of the library for questionnaire administration.

The study found that public libraries are only providing effective services in the areas of agricultural information, health and political information while leaving aside other germane services that have the wherewithal to facilitate sustainable development in all facets of life. Challenges such as epileptic power supply, unstable internet access and subscription to illiteracy on the part of community members, inadequate materials in local languages and poor funding, among others, are still depriving effective dissemination of information to rural dwellers in Kogi State.

The study recommended, among others things that public library boards should broaden their service portfolios to include more career information, bookmobile services and current awareness programs. These services are essential for empowering rural dwellers with the knowledge required to navigate modern socioeconomic landscapes. More so, the findings of this study have profound implications for public librarianship in Nigeria, particularly in the context of practice, policy and future research. In addition, the study contributes to literature, policy and practice and provides fresh data on the role of public libraries in the dissemination of information to rural dwellers in Nigeria.

This study aims to explore the environmental and easy-care benefits of diacetate fiber blended textiles, emphasizing their potential in enhancing sustainability and reducing carbon emissions in the textile industry. It addresses the pressing need for innovative materials that combine functional advantages with reduced environmental impacts.

A comprehensive series of experiments was conducted to assess the easy-care properties of fabrics blended with diacetate fibers. These properties include stain resistance, wash dimensional stability and antistatic performance, using standardized textile testing methods. The experimental setup involved a variety of fabric blends tested under simulated conditions that mimic real-world usage to evaluate the effectiveness of diacetate fibers in practical applications.

The inclusion of diacetate fibers significantly enhances several easy-care properties of the textiles. Fabrics containing these fibers showed improved stain resistance, particularly in blends with polyester and cotton, which also exhibited better dimensional stability after washing. Antistatic properties were notably better in diacetate-polyester blends compared to other fiber compositions. Furthermore, the research demonstrated that these fabrics require fewer wash cycles, effectively reducing water and energy consumption, thereby contributing to environmental sustainability.

This study is among the first to systematically quantify the multiple benefits of diacetate fiber blends in textiles, providing a dual focus on environmental impact and practical textile care. The findings offer new insights into the use of sustainable fiber technologies in reducing the ecological footprint of the textile industry while maintaining material performance, supporting the advancement toward a more sustainable fashion industry.

This paper systematically reviewed research work on drivers of teamwork, which will reinforce construction work teams to enhance workers’ safety performance. This study adds to the existing but limited understanding of teamwork drivers on construction workers’ safety performance. This paper presents scholars and industry-based professionals with critical initiatives that have to be implemented in organisations to get positive results in safety while working in teams with an emphasis on systems drivers of teamwork on safety performance at the organisational level, which will help in providing information on the functioning of the teams and contribute towards improved safety performance of team workers.

This study aims to systematically examine the existing body of knowledge on drivers of teamwork by analysing 53 publications from the years 1997–2021. The Scopus search engine was used to conduct a systematic review and germane publications were collated.

According to the findings of the review, since 1997, there has been a burgeoning concern in the research of drivers of teamwork and its impact on workers’ safety performance. After performing a systematic review, 37 drivers of teamwork were identified. The top five drivers are effective communications, team workers’ relations, leadership, shared knowledge and information, and team training. Moreover, it was noted that the United States and Australia have been the international regions of focus for most of the research in the area of drivers of teamwork from the years 1997–2021. The 37 drivers of teamwork are distributed into six major socio-technical components: people drivers; culture drivers; metrics drivers; organisational and management practices and procedures drivers; infrastructure drivers and technology drivers.

The results reported present research scholars and professional practitioners with an overview of the drivers of teamwork that could be implemented in the construction industry to streamline potential implementations and improve safety performance of construction workers.

A list of teamwork drivers has been developed to ratify potential empirical research in the area of construction safety. The results would contribute to the existing but restricted understanding of drivers of teamwork in the construction industry.

This paper aims to provide a conceptual framework containing SERVQUAL original dimensions and add two additional dimensions: patient satisfaction and loyalty in the hospital SQ model that demonstrates the relationship between hospital service quality, patient satisfaction and loyalty from patients’ perspective.

This research conducted a thorough literature review using specific keywords and electronic databases, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Through analysis, the key dimensions of service quality in Indian hospitals were identified, with the addition of patient satisfaction and loyalty as variables. Of 1,000 initially downloaded papers, 497 were included.

While many researchers rely on the SERVQUAL model, some introduce new or modified dimensions, often renaming existing ones. This study identifies the RATER factors as the main dimensions patients use to evaluate hospital services. This study finds a positive relationship between service quality, patient satisfaction and loyalty.

An understanding of how health-care service quality dimensions, directly and indirectly, affect patient satisfaction and loyalty is important for hospital marketing managers. This study helps them take action to improve patient satisfaction, which encourages patients to be loyal.

This research provides a comprehensive framework for measuring health-care service quality, combining SERVQUAL dimensions and new variables. This study offers useful insights for academics and health-care professionals, promoting more accurate measurement and enhancement of service quality. The use of PRISMA in this context is also innovative, as it is less common in administrative health-care research.