Search results

The purpose of the study was to assess the current state and demand of the project management education. Project management has gained increasing importance as a critical discipline for achieving successful project outcomes in various industries and sectors. In the Kingdom of Saudi Arabia (KSA), the demand for skilled project management professionals has increased due to different developmental projects and ambitious initiatives like NEOM.

The study adopted a qualitative multi-method approach to comprehend the objective in depth. In the first round, a systematic literature review (SRL) was applied to explore the state of project management education (PME) in KSA. In the second, structured interviews with professionals were arranged to explore the phenomenon of interest in more detail. Moreover, three case studies were also included to support, comprehend and generalize the findings.

The study highlights the strengths and gaps in PME. The study also provides an insight to enhance the quality and effectiveness of the PME in KSA. Besides these, the research recommends exploring different avenues for the promotion of PME in the country.

The study offers a pioneering exploration of PME in KSA. It uses a multi-method approach to unveil unique insights into the country's educational landscape and its alignment with global industry standards.

This study aims to empirically analyze the factors influencing users’ intention to use chatbots for airline ticket consultation. It seeks to introduce a comprehensive framework based on the technology acceptance model (TAM) that integrates key factors alongside traditional TAM constructs to understand what drives behavioral intention to use chatbots in the context of airline ticket consultation.

The study uses the partial least squares-structural equation modeling (PLS-SEM) approach to validate the proposed model empirically. Data were collected through a survey questionnaire distributed to potential users in Saudi Arabia, with 393 valid responses from a total of 409 received being included in the analysis.

The empirical analysis confirms the significance of perceived usefulness and user satisfaction as direct determinants of behavioral intention. Additionally, it reveals that factors such as perceived ubiquitous access, perceived completeness, perceived accuracy, perceived unbiased response and perceived convenience have both direct and indirect significant impacts on the behavioral intention to use chatbots for airline ticket consultation.

This research advances theoretical understanding and holds practical implications for designing and implementing effective chatbot services. By investigating the complex interplay of these factors, the study makes substantive contributions to both theoretical advancements and practical applications in the field, particularly in enhancing the user experience and acceptance of chatbots for airline ticket consultations.

The global prominence of languages and Saudi Arabia’s Vision 2030, which supports the necessity of German proficiency for the nation’s socioeconomic evolution, necessitate a deeper understanding of German teaching in Saudi international schools. This study delves into the influence of various teaching strategies on students' German writing skills. The research particularly focuses on traditional and innovative methods and considers the factors that drive these teaching approaches.

Data were collected from 304 students in Riyadh, Saudi Arabia, through a questionnaire. The relationships between teaching strategies and students' German writing abilities were analyzed using regression techniques.

The results indicate that both traditional and innovative teaching strategies positively influence students' writing skills. The regression analysis shows that the independent variables (traditional teaching strategies, innovative teaching strategies and factors influencing teaching strategies) collectively account for 68.9% of the variation in students' German writing skills. Even though a variety of techniques influence students' academic performance, the study’s findings indicate that several strategies – such as self-evaluation, pair work, oral feedback, grammar instruction and translation – have a major impact on students' German writing abilities.

This research brings unique insights into the German teaching realm of Saudi international schools, emphasizing the harmony between Vision 2030 goals and effective teaching methodologies. It elucidates the considerable influence of both traditional and innovative strategies on student writing outcomes. For educators in Saudi Arabia’s international educational environment, the study’s findings underline the importance of adopting student-centric approaches in the writing process, ensuring students evolve as proficient writers. Additionally, the research underscores the significant role of variables affecting teaching strategies, spotlighting their pivotal role in shaping student outcomes.

This cross-sectional online survey in Oman in April 2021 aimed to assess university students' resilience, stress levels and meaning during the COVID-19 pandemic and identify characteristic profiles.

A cross-sectional survey design was used to collect data from full-time students at one University in Oman. Outcomes included sociodemographic information, the brief resilience scale, the perceived stress scale-4 and the meaning in life questionnaire to explore the students' profiles.

A total of 964 students participated (response rate = 34.8%), of which 35% had low resilience scores. The average perceived stress, presence of meaning in life and search for meaning in life scores were 7.9 ± 2.3, 24.2 ± 6.9 and 24.9 ± 7.7, respectively. Cluster analysis identified three groups: low-risk and fewer impacts (cluster A, n = 503, 523%), moderate-risk and moderate impacts (cluster B, n = 160, 16.6%) and high-risk and more impacts (cluster C, n = 301, 31.2%). Cluster C students experienced more psychological problems and were at high risk during the pandemic.

The respondents' honesty is a possible error that could influence the results. Low response rates limit its generalizability, and cause-effect relationships among mental health outcomes cannot be discerned.

This study identified three distinct groups of students, each with different levels of severity in their health problems. There is an increased need for education and counseling to support students during this period, and university management should focus on implementing personal precautionary measures and providing high-tech, user-friendly platforms for students to enhance their learning.

These findings suggest that tailored strategies should be developed to address the unique psychological needs of each group. The study provides important information for university management to understand the pandemic's psychological impact on students and develop effective interventions to support their well-being.

This study aims to examine millennial consumers’ intentions towards purchasing eco-friendly products in the emerging Arab nation of Oman, focusing on the moderating role of eco-labelling (EL).

Environmental knowledge (EK) and environmental concern (EC) are integrated into the theory of planned behaviour (TPB) framework as independent variables, along with EL as a moderating variable. The data was collected through a self-administered survey and consisted of 705 random responses that was tabulated and analysed through the structural equation modelling technique.

ECs, subjective norms (SNs) and perceived behavioural control (PBC) significantly influence consumer attitudes towards green eco-friendly products. Consumers’ EK and attitudes positively influence the purchase intention (PI) to make green purchases. SNs and PBC substantially influence consumer attitudes towards adopting green products. However, the findings reveal a non-significant moderating influence of EL on the relationship between EC and PI for millennial Omani consumers.

The findings are limited to only one Arab country, Oman, which limits the scope of the study. This study contributes to the TPB by using additional dimensions to examine the green purchasing behaviour of millennials.

Marketers can use these insights to develop strategies that emphasise the environmental benefits of products, leverage social influences and empower consumers to make environmentally conscious choices. Incorporating EL and green packaging can enhance the visibility and attractiveness of green products.

Promoting environmental education, awareness campaigns and policy interventions that highlight the importance of eco-friendly product choices can foster more sustainable consumption patterns among Arab consumers.

To the best of the authors’ knowledge, this is the first study to examine the green PIs of millennials in an Arab context, specifically focusing on the moderating role of EL.

The ability of artificial neural network (ANN) models to predict future stock prices has been the focus of extensive recent research, particularly in comparison to other models. However, recent literature reviews have yet to comprehensively examine the current state of research on ANN models regarding hybrid model integration, feature engineering and selection strategies, uncertainty quantification and risk assessment, transfer learning for market adaptability, and the challenges they face in predicting stock prices. This paper aims to fill this gap by critically reviewing the efforts made to explore the ability of ANN models to predict future stock prices. Using a methodology based on variables analysis, method analysis, software context, and a conclusion, this paper synthesizes 21+ papers published between 2011 and 2023. The findings indicate that ANN models have a strong potential for predicting stock market prices although there is room for improvement in some areas. This paper's findings will be of interest and use to academics and practitioners interested in ANN models for stock price prediction, particularly in development initiatives related to financial technology.

This chapter aims to shed light on some aspects of instructional collaboration with the purpose of providing further understanding of how teachers collaborate and what hinders their collaboration in Saudi inclusive and mainstream schools. Instructional collaboration among teachers in Saudi educational settings has not been thoroughly reviewed, nor has it been adequately considered as an essential component in assuring the implementation of inclusive education. The voice of two special education teachers and two college professors are presented and discussed in order to explain and clarify aspects of instructional collaboration. The last part of the chapter delineates proposed changes that may motivate teachers and aid them in developing a clear understanding of how to practice instructional collaboration in inclusive and mainstream settings, namely, provision of professional development for special and general education teachers, endorsement of legislation and regulations to promote instructional collaboration, and development of teacher education programs.

The construction industry is an enabler of economic growth in developing countries, but its performance is governed by the professional behaviour of construction professionals. Unethical behaviour (UB) breaches codes of practice and undermines economic performance hence, ubiquitous academic attention has been given to understanding this phenomenon. This paper aims to contribute to the ensuing discourse by reporting upon the most critical ethical behaviours (EBs and UBs) of professionals in the Ghanaian construction industry (GCI).

The study compounded identified factors into a closed-ended questionnaire in a quantitative research strategy. Data analysis was conducted using the relative importance index and one sample t-test. To measure the reliability of the scale, Cronbach’s alpha was used, which indicated that all measured items were reliable for further analysis.

The study confirmed that professionals within the GCI are aware of the existence of UBs and revealed that the most prevalent ethical conducts exhibited, namely, level of accuracy, accountability, honesty, reliability, fairness and respect for colleagues. Common unethical conducts exhibited included: favouritism, bribery and corruption, professional negligence, falsification, fraud and overbilling.

The study reported on the dominant ethical conduct among built environment professionals. The claims put forward in the analysis are, thus, affected by Ghana’s social, economic and political environments, which could restrict the generalization of the findings.

Incipient findings presented from this research will guide stakeholders to develop and device strategies that will aid alleviate persistent ethical issues within the built environment.

The study highlights individuals’ perspectives on ethical issues persistent in the built environment. The findings suggest individuals adhere to ethical practices in a project environment by the evidence presented.

This pioneering study is a novel assessment on EBs and UBs of built environment professionals in the GCI. The study supplementary adds value to the literature on ethical and unethical practices. By identifying these practices, construction firms have a competitive edge in combating UB and promoting EB among built environment professionals in the GCI.

This paper suggests a framework that describes the critical features and design elements that should be considered when creating a metaverse platform. This metaverse framework will assist in achieving the goals of Saudi Vision 2030, specifically in making the applied technology transformation goal a reality. In addition, this paper offers valuable recommendations and insights for policymakers to guarantee the actualization of the digital transformation associated with the metaverse in Saudi Vision 2030.

This research plans to address the gaps by conducting a thorough literature review to examine the characteristics and design elements of the latest metaverse platforms. It proposes a suggested framework that discusses the distinctive features that should be considered when creating any metaverse platform. In addition, the research provides policymakers with important recommendations and insights to ensure effective contribution to the digital transformation goals of Saudi Vision 2030, thereby supporting the scientific development of the metaverse platform

After a deep review of the literature, this paper proposes a conceptual framework as described in Figure 1, which identifies the most important design features and elements that need to be considered when building a metaverse platform, which will be a critical component of the digital infrastructure. These design elements include immersive engineering, accessibility, privacy, security, interoperability, digital assets and regulations. They are essential to developing a powerful metaverse platform that has all the features of this virtual reality environment. Immersive engineering concepts in the metaverse world aim to improve user experience by creating more realistic, interactive and engaging virtual environments.

The findings of this study provide valuable insights into the development and implementation of metaverse platforms in Saudi Arabia by proposing a suggested framework that discusses the distinctive features that should be considered when creating metaverse platform and provides policymakers with some important recommendations and insights to ensure that effectively contributes to the realization of digital transformation, which is the one of Saudi Vision 2030. This paper carries several implications. First, this paper has an impact on future technology research, as it presented the most important design elements and advanced technologies for implementing metaverse platforms. In addition, it sheds the light on the limitations faced by Saudi Arabia metaverse platforms. Second, this research also has an impact on public policy in Saudi Arabia. This paper presented the most important recommendations that need to be taken into consideration when applying metaverse in Saudi Arabia [see section Recommendation]. Finally, it is seen that the presence of the metaverse not only facilitates but also supports digital transformation and the application of new technology. This research also has an indirect impact on society and the economy, as it is delineating the enhancements within these environments following the metaverse’s adoption, as elucidated in section Discussion.

Metaverse platforms have societal impacts such as social engagement, entertainment, education, accessibility and cultural promotion. They can enhance inclusivity, improve well-being, showcase cultural heritage and boost tourism-related industries.

Proposed framework for metaverse platforms: The research proposes a suggested framework that outlines the distinctive features necessary for creating metaverse platforms. This framework is based on a thorough literature review and aims to guide the development of metaverse platforms that can support the objectives of Saudi Vision 2030. Policy recommendations: The study offers important recommendations and insights for policymakers. These recommendations are designed to ensure that policymakers can effectively contribute to the realization of the digital transformation goals of Saudi Vision 2030, particularly in the context of applied technology transformation.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.