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Children and adolescents with autism spectrum disorder need special attention for their mental and physical health and education. This study aims to investigate the effects of the COVID-19 pandemic on them.

This descriptive cross-sectional study was conducted on data collected from an online survey. Respondents were the parents or caregivers of autistic children aged 3–18. It measured opinions about the favorable and unfavorable behavioral changes related to their children during the COVID-19 lockdowns.

In total, 131 respondents participated in the study. The mean age of their autistic children was 11.45 ± 4.26 years, of whom 78% were boys. Improved good behaviors during lockdowns included interaction with parents and siblings, eating healthy foods, quality of sleep, eye contact, pointing and asking for something, imitating sounds and phrases, sharing interests, reaction to emotions and empathy with family members, but sleep hours decreased.

Lockdown provided opportunities for examining the behaviors of children with autism taking into account its favorable and unfavorable effects, to improve communicating and behaving with these children.

Human genomic research (HGR) demands very large pools of data to generate meaningful inference. Yet, the sharing of one’s genetic data for research is a voluntary act. The collection of data sufficient to fuel rapid advancement is contingent on individuals’ willingness to share. Privacy risks associated with sharing this unique and intensely personal data are significant. Genetic data are an unambiguous identifier. Public linkage of donor to their genetic data could reveal predisposition to diseases, behaviors, paternity, heredity, intelligence, etc. The purpose of this paper is to understand individuals’ willingness to volunteer their private information in this high-risk/high-reward context.

The authors collect survey data from 273 respondents and use structural equation modeling techniques to analyze responses.

The authors find statistical support for our theorization. They find that while heightened awareness of the benefits and risks of sharing correlates with increased privacy concerns, the net impact is an increase in intention to share.

The findings suggest that prescriptive awareness might be an effective tool with which policy-makers can gain the sufficient voluntary participation from individuals necessary to drive large-scale medical research.

This study contributes a theoretically and empirically informed model which demonstrates the impact of awareness and privacy concern on individuals’ willingness to share their genetic data for large-scale HGR. It helps inform a rising class of data sufficiency problems related to large-scale medical research.

In the knowledge management domain, the conversion of tacit knowledge to explicit knowledge is critical because it is a prerequisite to the knowledge amplification process wherein knowledge becomes part of an organization’s knowledge network. In this article, knowledge exchange protocols are examined as a vehicle for improving the tacit to explicit knowledge conversion process. In an experiment testing the use of knowledge exchange protocols, it is learned that while structure may significantly improve the tacit to explicit knowledge conversion process, it also may matter how the structure is employed in this process.

Project management factors affecting the implementation of IT projects have been widely studied; however, there is little empirical research investigating the implementation of organizational data‐mining (ODM) projects. ODM is defined as leveraging data‐mining tools and technologies to enhance the decision‐making process by transforming data into valuable and actionable knowledge to gain a competitive advantage. Organizations of all sizes are developing and implementing ODM technologies. A cross‐sectional survey based on The Square Route Framework was conducted to determine the relationship among project factors affecting ODM implementations. Findings from 111 organizations indicate that a number of implementation factors have a significant influence on the successful implementation of ODM projects.

Family Justice Centers, or “one-stop shops” that enable domestic violence victims to access a range of services at one location, are becoming increasingly common. However, there is a limited body of research examining the outcomes and planning processes of these Centers. The early phases of planning Centers are critical to their initial and ongoing success. The purpose of this paper is to discuss these issues.

In total, 15 stakeholders in a community in the early phases of planning a Center were interviewed.

Content analysis procedures were used to identify themes related to participants’ ideas about what the Family Justice Center should look like (e.g. services to include and perceived benefits and challenges for the Center), the steps required for planning it (e.g. identifying the purpose of the Center, getting key people involved, and building collaborations), and desired technologies.

This paper is the first known research effort to examine the early phases of development in constructing a Family Justice Center.

This study aims to investigate the comparative importance of factors influencing the customer shift behavior from conventional to Islamic banking for consumer finance in Pakistan.

First, a comprehensive analysis of the existing literature was conducted to identify a broad range of factors related to customer shift behavior. Through an expert sampling, 14 essential factors were chosen for further investigation. Second, a questionnaire was developed using the analytical hierarchy process (AHP). This questionnaire was then distributed among customers who had previously been using conventional banking services but had made a shift toward Islamic banking. The purpose of this questionnaire was to gather data and insights regarding their motivations and decision-making process behind the shift, and a sample 215 customers are taken in the study.

The results of AHP depicts that the religiosity is a most important factor influencing customers to shift from conventional to Islamic banking, and the second most important factor is pricing. The other subsequent important factors are reputation of the bank, marketing and promotion, service quality, behavior of banks staff, Shariah compliance, management, convenience, fastness and charges/fees. Whereas documentation, ambiance and recommendation are found least important factors to patronize Islamic banking.

The study recommends Islamic banks to create awareness, concentrating on religious factor to have a greater impact on growth of Islamic banking and shrinking of conventional banking. Further, it suggests Islamic banks to apply Shariah-recommended approach of doing business, to help community in best possible way and to launch differentiated marketing techniques to attract customers. It also proposes regulatory authorities to provide facilitation to Islamic banking business by providing level playing field similar to conventional banking, tax equality and conversion of public financing from conventional banking to Islamic banking.

The originality of this study lies in its comprehensive analysis of factors influencing consumer shift behavior from conventional to Islamic banking in the context of consumer finance in Pakistan. By using the AHP, the study provides a structured approach to understanding the relative importance of these factors. This is the uniqueness of the paper that it applies the AHP for the analysis. Furthermore, the study offers practical implications for Islamic banks and regulatory authorities to effectively address and capitalize on this consumer shift trend.

The purpose of this paper is to present an applied method to design the low-speed contact between a mass and surface of a beam using an analytical solution based on the first-order shear deformation beam theory. Also, a simulation of impact process is carried out by ABAQUS finite element (FE) code.

In theoretical formulation, first strains and stresses are obtained, then kinetic and potential energies are written, and using a combination of Ritz and Lagrange methods, a set of system of motion equations in the form of mass, stiffness and force matrices is obtained. Finally, the motion equations are solved using Runge–Kutta fourth order method.

The von Mises stress contours at the impact point and contact force from the ABAQUS simulation are illustrated and it is revealed that the theoretical solution is in good agreement with the FE code. The effect of changes in projectile speed, projectile diameter and projectile mass on the results is carefully examined with particular attention to evaluate histories of the impact force and beam recess. One of the important results is that changes in projectile speed have a greater effect on the results than changes in projectile diameter, and also changes in projectile mass have the least effect.

This paper presents a combination of methods of energy, Ritz and Lagrange and also FE code to simulate the problem of sandwich beams under low velocity impact.

This paper aims to investigate the psychological impact of the COVID-19 pandemic on university students in Malaysian universities as well as its effect on their learning.

The study employed a quantitative design, as the data were collected through a survey. The participants were 219 students, divided as follows: 102 local students and 117 international students in Malaysian universities.

The findings showed no significant difference in terms of the psychological impact of COVID-19 among students according to the variables, nationality (local and international), gender and level of study. The descriptive analysis showed that the outbreak of COVID-19 made the students anxious, worried and restless. Besides, the outbreak of COVID-19 made the students unable to focus on their study, feel anxious about studying, have less confidence on their leaning and commit more mistakes than normal days. The psychological stress made online learning during the isolation period less effective and less helpful for students, which made them more worried about their academic achievement and future study plans.

COVID-19 is a current issue, and the psychological effect of COVID-19 on local and international students and their learning has not been covered in previous literature.

The acceptance of Islamic banking services by non-Muslim customers is not promising in the Malaysian context. Thus, this study aims to examine the effect factors that may motivate this customer group to adopt the Islamic banking services in the Malaysian context.

A self-administered questionnaire was used to collect data through google docs from 188 respondents. Structural equation modelling partial least squares (PLS-SEM) was used to analyze the hypothetical model of this study.

The result of this study found that knowledge about Islamic banking exerts a positive effect on non-Muslim beliefs (attitudinal, control and norm). Moreover, this study found a significant relationship between attitude, subjective norm, perceived behavioral control with non-Muslim Intention towards Islamic banking services. Furthermore, the mediating effect of attitude, subjective norm and perceived behavioral control was supported.

This is a pioneer study that contributes to the consumer behavior literature by extending the theory of planned behavior by incorporating knowledge in the model. In addition, this study develops comparatively new relationships, practically the mediation role of beliefs (attitudinal, control and norm) between knowledge and intention.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.