Evaluating Model Fit

4. UNHCR notes with concern that although the country acceded to the 1951 Convention and the 1967 Protocol in 1999, incorporation of the 1951 Convention obligations into national legislation and normative acts has been slow and to date Kazakhstan has failed to comply with its obligation to give full effect to the Covenant in the domestic legal order, inter alia providing for effective judicial and other remedies for violations of these rights

United Nations High Commission for Refugees

我的台灣, 看見心靈的故鄉 =2009林磐聳藝術與設計展

With an increasing number of privately own vehicles
in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we
propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation
modeling (PLS-SEM) was used to analyse the data. The main
findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only
contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage.

Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM)

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled w...

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Seven HCI Grand Challenges

For displaced people, migrating into Europe has highly complex information needs about the journey and destination. Each new need presents problems of where to seek information, how to trust or dis...

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The Best, the Worst, and the Hardest to Find: How People, Mobiles, and Social Media Connect Migrants In(to) Europe:

We conducted participatory design workshops at the UNHCR Za'atari refugee camp in Jordan to learn how Syrian youth help others using information and technology. We asked 144 young people to create paper prototypes of visionary devices for helping their community and analyzed the designs for themes using qualitative techniques. The 61 drawings helped provide additional context for the community's challenges, including information problems and limited access to education. Findings also showed that Syrian refugee youth play important roles in helping others. We developed and tested a youth-focused co-design approach and contributed to a greater understanding of the experiences of Syrian refugee youth. As millions of Syrians continue to be displaced, our work may have implications for helping identify the refugees' needs and inform humanitarian response.

Future's Butterflies: Co-Designing ICT Wayfaring Technology with Refugee Syrian Youth

The quantity of data transmitted in the network intensified rapidly with the increased dependency on social media applications, sensors for data acquisitions and smartphones utilizations. Typically, such data is unstructured and originates from multiple sources in different format. Consequently, the abstraction of data for rendering is difficult, that lead to the development of a computing system that is able to store data in unstructured format and support distributed parallel computing. To data, there exist approaches to handle big data using NoSQL. This paper provides a review and the comparison between NoSQL and Relational Database Management System (RDBMS). By reviewing each approach, the mechanics of NoSQL systems can be clearly distinguished from the RDBMS. Basically, such systems rely on multiple factors, that include the query language, architecture, data model and consumer API. This paper also defines the application that matches the system and subsequently able to accurately correlates to a specific NoSQL system.

Big Data: The NoSQL and RDBMS review

This work aims to examine the impact of green training on green environmental performance through the mediating role of green competencies and motivation on the adoption of green human resource management. The convenience sampling technique was employed to collect data through an online survey undertaken at public and private universities in Malaysia. The analyses were conducted using the Statistical Package for the Social Sciences (SPSS) v.25 and Smart PLS v.3 software, with the aim of testing the predefined hypotheses. It was revealed that green training has a significant impact on green environmental performance, and all six dimensions of green competencies, namely, skills, abilities, knowledge, behavior, attitude and awareness, were also green motivations. Both green competencies and motivations positively and significantly mediated the relationship between green training and environmental performance.

Impact of Green Training on Environmental Performance through Mediating Role of Competencies and Motivation

Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user’s behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of antecedents of smart mobility by using SEM-Neural hybrid approach towards preliminary data analysis. This research undertook smart mobility service adoption in Malaysia as study perspective and applied the Technology Acceptance Model (TAM) as theoretical basis. An extended TAM model was hypothesized with five external factors (digital dexterity, IoT service quality, intrusiveness concerns, social electronic word of mouth and subjective norm). The data was collected through a pilot survey in Klang Valley, Malaysia. Then responses were analyzed for reliability, validity and accuracy of model. Finally, the causal relationship was explained by Structural Equation Modeling (SEM) and Artificial Neural Networking (ANN). The paper will share better understanding of road technology acceptance to all stakeholders to refine, revise and update their policies. The proposed framework will suggest a broader approach to investigate individual-level technology acceptance.

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Eiad Yafi

Papers

The Best, the Worst, and the Hardest to Find: How People, Mobiles, and Social Media Connect Migrants In(to) Europe:

Future's Butterflies: Co-Designing ICT Wayfaring Technology with Refugee Syrian Youth

Big Data: The NoSQL and RDBMS review

Impact of Green Training on Environmental Performance through Mediating Role of Competencies and Motivation

Predicting IoT service adoption towards smart mobility in Malaysia: SEM-neural hybrid pilot study