Search results

This study evaluated the impact of a faculty training program on student assessment using the Kirkpatrick model.

A self-reported survey assessed 111 Saudi and non-Saudi participants' satisfaction. Subjective and objective measures (self-reported measures, assessment literacy inventory and performance-based assessment tasks) gauged participants' learning level. Pre- and post-training data were collected from 2020 to 2022.

A highly significant effect on satisfaction (>80%) and learning levels was observed, as manifested by workplace practices of student assessment (>70%, the cut-off score). Pre- and post-training comparisons of participants' satisfaction and assessment literacy scores showed significant improvements following training. Multiple regression analyses showed no significant effects for gender and educational attainment but a substantial impact of academic cluster on participants' student assessment skills.

Long-term effects of training faculty on assessment practices and student achievement will be studied at the institutional level in future research.

The current study contributes to human capital investment via faculty training on student assessment, helping them comply with assessment best practices. This assures the quality, fairness and consistency of assessment processes across disciplines in higher education institutions, enhances assessment validity and trust in educational services and may support institutional accreditation.

This study provides opportunities for sharing best practices and helps establish a community of practice. It enhances learning outcomes achievement and empowers higher education graduates with attributes necessary to succeed in the labor market. The human capital investment may have a long-term impact on overall higher education quality.

This study contributes to the scarce literature investigating the impact of training faculty from different clusters on student assessment using subjective and objective measures. It provides developing and evaluating a long-term student assessment program following the Kirkpatrick model.

Faced with the existential threat of COVID-19, the College of Business Administration (CBA) at Princess Nourah Bint Abdulrahman University (PNU) decided to work toward the dual goals to achieve accreditation and an effective social and educational response to the pandemic. CBA’s quality improvement process was implemented synergistically with Seligman’s (2011) PERMA well-being model, namely positive emotions, engagement, relationship, meaning, and accomplishment/achievement. The case study methodology, which was based on direct observations, faculty and students’ interviews, surveys, feedback, documents, and archival data records, allowed to capture the context and lived reality of all the participants in QAA processes. Results showed that quality improvement was facilitated through three domains: (1) governance and academic leadership, (2) teaching and learning, and (3) digitalization and technology. Within each domain, specific programs, activities, human resources, and networks were enabled through a framework based on the PERMA well-being model. As a result of this hybrid QAA well-being implementation process, CBA achieved NCAAA accreditation for its offered programs, while experiencing high levels of well-being and commitment to teaching and learning by the staff members and students. The description of CBA’s accreditation journey might be insightful for other higher education institutions (HEIs).

This study aims to explore the role of the green market (GM) and green innovation (GI) towards green entrepreneurship (GE) and sustainable development (SD).

Based on cross-sectional data, the researchers used quantitative methods in this study to confirm the conceptual framework. The researchers used a questionnaire to collect the data obtained from Pakistan's knowledge-based companies (KBCs). In total, the researchers used 192 usable samples to deliver the findings.

The researchers used structural equation modeling (SEM) to ensure the model's fitness and as a basis for this study's hypotheses. The findings highlight that the GM factors, such as green product (GP), green design (GD), green supply chain (GSC) and green production (GPN) have a positive and significant effect GM factors, such as on both GE and SD. Further, GI is, also, a significant predictor of GE and SD. Finally, this study's findings show that GE has a predictive role of towards SD.

This study's findings create a source of attention for individuals to preserve the GM's natural resources. Further, mainly in developing contexts like Pakistan, the addition of the GI factor and the GM towards GE and SD contribute to the depth of the existing literature.

By integrating factors, such as innovation toward GE and SD, this study's findings provide an original contribution to the empirical evidence.

This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing-related capabilities (supply chain visibility [SCV], supply chain integration [SCI] and big data analytics [BDA]) as its antecedents and SC performance as its competitive advantage outcome.

The authors conceptualise a research model grounded in the literature based on dynamic capabilities and information processing views. The study uses a structural equation modelling technique to test the hypotheses’ relationship using the survey data from 311 industrial enterprises.

The results show that SCI and BDA positively and directly influence the Net-Zero capability (NZC). No significant direct impact is found between SCV and NZC. BDA fully mediates SCV and partially mediates SCI in their relationship with NZC. The results also confirm that NZC positively impacts SC performance (SCP).

This study contributes to operations management and SC literature by extending the knowledge about Net-Zero SCs through an empirical investigation. In particular, the study suggests BDA is essential to enhance NZC as SCV alone does not significantly contribute. The study also documents the benefit of NZC on SCP, which can encourage more volunteer actions in the industry.

The purpose of this study is to solve two unique but difficult partial differential equations: the foam drainage equation and the nonlinear time-fractional fisher’s equation. Through our methods, we aim to provide accurate solutions and gain a deeper understanding of the intricate behaviors exhibited by these systems.

In this study, we use a dual technique that combines the Aboodh residual power series method and the Aboodh transform iteration method, both of which are combined with the Caputo operator.

We develop exact and efficient solutions by merging these unique methodologies. Our results, presented through illustrative figures and data, demonstrate the efficacy and versatility of the Aboodh methods in tackling such complex mathematical models.

Owing to their fractional derivatives and nonlinear behavior, these equations are crucial in modeling complex processes and confront analytical complications in various scientific and engineering contexts.

Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model.

The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software.

The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption.

Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption.

To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

This study aims to review the current status of quality management (QM) research in Arab countries between 2001 and 2020.

The study adopted the content analysis methodology, searching through various databases and search engines for relevant publications using several keywords. The selected publications were classified according to several criteria and the obtained results were presented in the form of frequencies and percentages.

Most research publications regarding QM were journal articles. The number of publications has steadily increased between 2001 and 2020. Moreover, QM research largely uses the quantitative research design. Questionnaire surveys are widely used as a data collection method; basic statistical analysis techniques are commonly employed to analyze the data. There is a tendency toward empirical research versus conceptual research. A few journal articles were published in reputed peer-reviewed international journals with low citation. Overall, Arab scholars research on QM and related topics over the past two decades is not significant for the field considering the number of published papers, citations and the papers published in reputed peer-reviewed international journals.

This study has several limitations. First, it does not cover non-English information sources due to the overall lack of Arabic publication databases. Second, it uses a limited number of criteria to classify the selected publications. Third, it adopts the content analysis methodology to classify the selected publications. This method has several limitations, which may negatively affect the results. Nevertheless, the study offers several implications for research scholars, educators and practitioners.

This is the first study to attempt a comprehensive overview of the state of research on QM in Arab countries between 2001 and 2020 using the content analysis methodology.

The impact of education and research skills on the strategic digital transformation of education is straightforward. In this context, the Saudi National Institute of Health plays a pivotal role in the design and implementation of a resilient and robust strategy for the development of skills and competencies to young health professionals. In this chapter, the authors provide a brief overview of the Vision 2030 in Saudi Arabia and its basic priorities in the areas related to the Education and Research in the healthcare domain. The authors also elaborate on the key plans and initiatives undertaken by the education and research skills directory of the Saudi National Institute of Health (SNIH) towards transformative learning with impact on the implementation of the Vision 2030.

The purpose of this study is to investigate the significance and impact of strategic knowledge management (SKM) practices and organisational change capacity (OCC) in improving strategic thinking and strategic orientation in small and medium-sized enterprises (SMEs) and their contribution in overall improvement of entrepreneurial performance.

Quantitative research methodology using partial least square structural equation modelling with data of 296 sample from the target group as managers and owners from various SMEs in the UK has been used in the study.

The findings suggest that SMEs that invest in SKM and OCC are more proficient at adjusting to fluctuations in the business landscape and develop effective strategies that lead to improved entrepreneurial performance. The study provides evidence that SKM encompasses more than just the acquisition and use of information. It also involves the establishment of a learning and innovation culture that facilitates strategic thinking and direction. Similarly, OCC is not just about implementing change but also about developing the agility and flexibility to adapt to market changes, consumer demands and technology.

According to the research, SMEs may boost their entrepreneurial performance and keep a competitive advantage in the modern, dynamic business environment by investing in SKM and OCC. The capacity of SMEs to implement SKM and organisational change should be encouraged and supported by policymakers and practitioners, who should also offer the necessary tools and assistance to do so.

This study offers a valuable addition to the previously published works on SKM and OCC within SMEs. It offers empirical data that highlights the significance of SKM and OCC in fostering strategic thinking, strategic orientation and ultimately, boosting entrepreneurial performance. The study also highlights the challenges faced by SMEs in implementing SKM and OCC and provides recommendations for overcoming these challenges.

The study aims to explore the relation between dividend policy of any company and its stock volatility.

Companies listed on six GCC stock markets are used in the analysis and the data ranges from 2006 to 2020. Fixed effect and random effect panel data analysis is used to explore the association between stock volatility and the dividend policies.

A significant negative relation is observed between dividend payout and stock volatility. Also, significant negative relation between stock volatility and equity is found, whereas insignificant positive relation is observed between asset growth and stock volatility.

The data of all listed companies on six GCC markets were not available.

The question of raising dividend or maintaining at the current level is of utmost importance for the managers of any company before making any investment decisions. Also, the investors look at the dividend announcements as a sort of signal about the future prospect of the company. A stable or fluctuating dividends may be preferred by the investors that ultimately changes the stock price of any company.

The relationship between dividend policy and the volatility of stock price is explored for emerging GCC markets which is the major significance of this paper which will have many social impacts on various stakeholders of any company including investors, regulators and employees, etc.

To the best of the authors’ knowledge, no study for GCC markets is done to establish a relation between stock volatility and the dividend policies which is needed by the academicians to further explore the behavior of these markets.