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A finite element formulation for flexure of isotropic plates based on a recent refined theory is developed. The refined theory incorporates effects of transverse shear, transverse normal stress and transverse normal strain. The Galerkin finite element method was used to develop the finite element equations for both plate bending and inplane problems. The performance of the proposed finite element model was evaluated by solving problems of uniformly loaded thick plates with different support conditions. The results of the present formulation are compared with Mindlin/Reissner and elasticity solutions.

While ISO 9001 standard certification is approaching saturation in developed countries, other nations are still struggling with the implementation of ISO 9001. This study provides insights into countries with a very low number of registered certifications to understand the reasons behind the limited implementations, more particularly using evidence from Yemen. The objective of the study is to assess: the awareness, understanding, motivations, barriers and the benefits of implementing ISO 9001.

A survey was conducted to measure awareness levels, understanding, driving factors, barriers and the benefits of ISO 9001. Data collection was carried out through the classification of targeted firms into two separate categories, certified and noncertified organizations. The classification of firms was conducted to enrich the understanding from two different perspectives. A total of 72 responses, from companies ranging in size from large to small, and in both the private and public sectors, were analyzed using the descriptive and multiple correspondence analysis (MCA).

The data analysis showed that the limited implementation of ISO 9001 certifications could be due to several internal and external factors such as the relatively low awareness level of the certification and guidelines, and the inconsistency of understanding the certification purpose. The benefits focused solely on improving the quality of systems efficiency and increasing quality awareness, and not on internationalization.

The findings of this work provide the groundwork for decision-makers to understand the drivers and challenges of ISO 9001 to plan corrective actions and contribute to promote and increase the number of certified organizations in similar countries and economies. While the data in this study were collected in the context of one country, the methodology and framework used in this study can be utilized by other researchers to collect data in similar countries with a low number of ISO 9001 certifications.

This research is one of the very few that addresses the limited implementation of ISO 9001 in the Middle East and North Africa region and Yemen in particular.

The purpose of this paper is to suggest a model that yields a sustainability performance index for Islamic banks (IBs). This index is expected to account for stakeholders’ viewpoints while considering sustainability and Maqasid Al-Shariah as bases.

First, based on the relevant literature review refined through consultations with academic, banking and Shariah experts, the main stakeholders and their corresponding lists of relevant attributes and sub-attributes are identified. Then, adopting a multi-attribute utility approach and based on a second step of interviews with experts, an aggregated index is suggested. Finally, the developed index is applied to five famous Islamic banking groups over the period 2005–2019.

Empirical evidence shows that the banks used in the implementation do not achieve high scores of the suggested index. This can be interpreted through a lack of Islamic normative aspects and low adherence to sustainability practices. Specifically, they are not functioning on a justice basis and are deficient in providing sufficient varieties of Islamic products. They are also more interested in economic sustainability and are not involved in environmental and social ones.

The developed index not only considers the compliance of the banking activities with Shariah, but it also addresses their sustainability from the main stakeholders’ perspectives. The suggested model provides a transparent performance evaluation tool for IBs omitting all causes of conflict of interests and certifies the fairness of the resulting assessments.

Although Islamic banks offer superior financial services than other interest-based conventional banks, they could not expand their share and dominate the markets in several Islamic countries. This problem could be attributed to some causes not addressed. The current study proposes Islamic financial literacy as an important factor that could help aggress this problem. Due to a wide variety of Islamic financial services and the lack of understanding of these services, the banks' small business customers are indifferent between Islamic and interested-based conventional services to finance their business.

This study uses the exploratory technique of multiple correspondence analysis to detect any potential role of Islamic financial literacy in customers' preference for Islamic banks over conventional ones. The potential effect was tested with other essential factors, such as the customers' age, gender, and educational level. This analysis was conducted on a data set from 2061 banks' small businesses customers using the mall-intercept survey method.

The study shows a low level of Islamic financial literacy among Yemeni banks' small business owners' customers. Furthermore, despite integrating some critical factors that could influence the actual bank selection process among Yemini banks' customers, the authors found a decisive potential role of Islamic financial literacy as one of the key determinants of bank selection preferences.

This is the first paper to explore the potential role of Islamic financial literacy on the actual selection between Islamic Banks and their counterparts: the conventional banks in Yemen. The research results could build a more comprehensive theoretical model on Islamic banks' customer behavior.

This paper aims to enable the analysts of reliability and safety systems to evaluate the risk and prioritize failure modes ideally to prefer measures for reducing the risk of undesired events.

To address the constraints considered in the conventional failure mode and effects analysis (FMEA) method for criticality assessment, the authors propose a new hybrid model combining different multi-criteria decision-making (MCDM) methods. The analytical hierarchy process (AHP) is used to construct a criticality matrix and calculate the weights of different criteria based on five criticalities: personnel, equipment, time, cost and quality. In addition, a preference ranking organization method for enrichment evaluation (PROMETHEE) method is used to improve the prioritization of the failure modes. A comparative work in which the robust data envelopment analysis (RDEA)-FMEA approach was used to evaluate the validity and effectiveness of the suggested approach and simplify the comparative analysis.

This work aims to highlight the real case study of the automotive parts industry. Using this analysis enables assessing the risk efficiently and gives an alternative ranking to that acquired by the traditional FMEA method. The obtained findings offer that combining of two multi-criteria decision approaches and integrating their outcomes allow for instilling confidence in decision-makers concerning the risk assessment and the ranking of the different failure modes.

This research gives encouraging outcomes concerning the risk assessment and failure modes ranking in order to reduce the frequency of occurrence and gravity of the undesired events by handling different forms of uncertainty and divergent judgments of experts.

This paper aims to enable the analysts of reliability and safety system to assess the criticality and prioritize failure modes perfectly to prefer actions for controlling the risks of undesirable scenarios.

To resolve the challenge of uncertainty and ambiguous related to the parameters, frequency, non-detection and severity considered in the traditional approach failure mode effect and criticality analysis (FMECA) for risk evaluation, the authors used fuzzy logic where these parameters are shown as members of a fuzzy set, which fuzzified by using appropriate membership functions. The adaptive neuro-fuzzy inference system process is suggested as a dynamic, intelligently chosen model to ameliorate and validate the results obtained by the fuzzy inference system and effectively predict the criticality evaluation of failure modes. A new hybrid model is proposed that combines the grey relational approach and fuzzy analytic hierarchy process to improve the exploitation of the FMECA conventional method.

This research project aims to reflect the real case study of the gas turbine system. Using this analysis allows evaluating the criticality effectively and provides an alternate prioritizing to that obtained by the conventional method. The obtained results show that the integration of two multi-criteria decision methods and incorporating their results enable to instill confidence in decision-makers regarding the criticality prioritizations of failure modes and the shortcoming concerning the lack of established rules of inference system which necessitate a lot of experience and shows the weightage or importance to the three parameters severity, detection and frequency, which are considered to have equal importance in the traditional method.

This paper is providing encouraging results regarding the risk evaluation and prioritizing failures mode and decision-makers guidance to refine the relevance of decision-making to reduce the probability of occurrence and the severity of the undesirable scenarios with handling different forms of ambiguity, uncertainty and divergent judgments of experts.

Outdoor localization is an important issue for many applications, such as autonomous mobile robotics and augmented reality. The purpose of this paper is to propose a budgeted dynamic exclusion heuristic based on signal phase shifts from multiple base stations.

The authors also propose an outdoor localization technique based on the particle filter for data fusion and present an overview of a potential target application of the proposed outdoor localization approach for the blind and visually impaired (BVI).

The combination of multiple sensor data tends to overcome the drawbacks of using one sensor technology in the localization process.

The novelty of the proposed approach stems from its ability to fuse data collected from different sensor technologies to converge to more accurate position estimation.

The purpose of this paper is to investigate the tendency of leaders to select their followers depending on their human capital factors such as age, education level, previous working experience and training.

The participants were 1,388 employees working in a randomly selected sample of 289 small-sized businesses operating in Yemen. A self-reported questionnaire was used to collect the data. The correspondence analysis method was used to explore the tendency of leaders to select their followers depending on their human capital factors.

We found significant corresponding relationships between leadership styles and the selection of the followers' human capital factors. The passive avoidant style was found to select middle-age, long-experience and fully-trained followers. Transactional style on the other hand was found to select young, middle-level experience and non-trained followers. The transformational leadership style was found to have no selection preferences towards any of the human capital factors except for working experience.

Although, some previous studies tried to understand the leaders–followers relationships, no one investigated the tendency of leaders to select their followers according to their preferences. This study contributes significantly to the leaders–followers theory by studying the selection process of the leadership style of their followers' human capital factors. Understanding this phenomenon could help explain why some leadership styles are more effective than others, especially in very limited resources contexts such as micro-sized businesses.

The purpose of this paper is to investigate the mediation role of public governance in the relationship between entrepreneurship and economic growth in the United Arab Emirates (UAE).

To achieve this aim, the study uses a 20-year time series analysis (1996–2015) and tests the effect of entrepreneurship on economic growth, through public governance, via a mediator model.

The study has determined that public governance buoys the positive effect that entrepreneurship activities exert on economic growth in the UAE. Based on this determination, the study posits a set of recommendations that focus on supporting entrepreneurship activities that play a significant role in economic growth.

The study adds to the literature on the impact of entrepreneurship on economies dependent on oil revenues vis-à-vis a public policy perspective. The study provides insights into the type of entrepreneurship that most efficaciously suits the Emirati social and cultural milieu in terms of fostering national economic growth. In addition, the study limns a vision of the role of public governance in creating an enabling environment that stimulates entrepreneurial activity and, in turn, increases economic growth in the Emirates.

There is an increasing interest in the supply chain’s digitalization, yet the topic is still in the preliminary stages of academic research. The academic literature has no consensus and is still limited to research assessing the supply chain’s digitalization of organizations. This study aims to explore the supply chain digitalization drivers to understand the emerging phenomena. More specifically, the authors devised from the literature the most common factors in assessing the readiness in scaling supply chain digitalization.

This study followed a five-phased systematic literature review (SLR) methodology in this research: designing, analyzing, conducting, writing and assessing the quality of the review. The SLR is beneficial for justifying future research regardless of the complex process that requires dealing with high-level databases, information filtering and relevancies of the content. Through analysis of 347 titles and abstracts and 40 full papers, the authors showed and discussed the supply chain digitalization: transformation factors.

The results generated three main themes: technology, people and processes. The study also generated ten subthemes/primary drivers for assessing the readiness for supply chain digitalization in organizations: IT infrastructure, cybersecurity systems, digitalization reskilling and upskilling, digitalization culture, top management support, digitalization and innovation strategy, integrated supply chain, digital innovation management, big data management and data analytics and government regulations. The importance of each factor was discussed, and future research agenda was presented.

While the key drivers of the supply chain digitalization were identified, there is still a need to study the statistical correlation to confirm the interrelationships among factors. This study is also limited by the articles available in the databases and content extraction.

This study supports decision-makers in understanding the critical drivers in digitalizing the supply chain. Once these factors are studied and comprehended, managers and decision-makers could better anticipate and allocate the proper resources to embark on the digitalization journey and make informed decisions.

The digitalization of the supply chain is more critical nowadays due to the global disruptions caused by the Coronavirus (COVID-19) pandemic and the surge of organizations moving toward the digital economy. There is a gap between the digital transformation pilot studies and implementation. The themes and factors unearthed in this study will serve as a foundation and guidelines for further theoretical research and practical implications.