Browsing by Author "Roslina Othman"

Disasters whether natural or human-made, leave a lasting impact on human lives and require mitigation measures. In the past, millions of human beings lost their lives and properties in disasters. Information and Communication Technology provides many solutions. The issue of so far developed DMSs is their inefficiency in semantics that causes failure in producing dynamic inferences. Here comes the role of semantic web technology that helps to retrieve useful information. Semantic web-based intelligent and self-administered framework utilizes XML, RDF, and ontologies for a semantic presentation of data. The ontology establishes fundamental rules for data searching from the unstructured world, i.e., the World Wide Web. Afterward, these rules are utilized for data extraction and reasoning purposes. Many disaster-related ontologies have been studied; however, none conceptualizes the domain comprehensively. Some of the domain ontologies intend for the precise end goal like the disaster plans. Others have been developed for the emergency operation center or the recognition and characterization of the objects in a calamity scene. A few ontologies depend on upper ontologies that are excessively abstract and are exceptionally difficult to grasp by the individuals who are not conversant with theories of the upper ontologies. The present developed semantic web-based disaster trail management ontology almost covers all vital facets of disasters like disaster type, disaster location, disaster time, misfortunes including the causalities and the infrastructure loss, services, service providers, relief items, and so forth. The objectives of this research were to identify the requirements of a disaster ontology, to construct the ontology, and to evaluate the ontology developed for Disaster Trail Management. The ontology editor applied by this research is Protégé version 5.2.0, which utilizes OWL as ontology language. The ontology consists of 6969 axioms, 84 concepts, 103 properties, and 726 individuals. The ontology was assessed efficaciously via competency questions; externally by the domain experts and internally with the help of SPARQL queries. The ontology was assessed by a software tool and found 100% accurate concerning its structure and overall 97% perfect as evaluated by the domain experts.

University libraries are transitioning towards a digital landscape, offering various electronic information services to support student research and learning. Understanding factors influencing customer satisfaction with these services is critical for optimizing library resources and fostering user engagement. This study investigates the impact of e-marketing strategies and technology turbulence on customer satisfaction with electronic library services in Jordanian universities. The research framework integrates the Resource-Based View (RBV) theory, emphasising the importance of internal resources for achieving customer satisfaction, and the 7Ps of the e-marketing mix framework, representing these resources within university libraries. Additionally, contingency theory highlights the need for libraries to adapt to external factors like technology turbulence, which can influence the effectiveness of e-marketing strategies. A mixed-methods approach was employed, utilising qualitative data from semi-structured interviews with eight library managers and quantitative data from a survey of postgraduate students at Jordanian public universities (792) who were selected using a voluntary response sample. The qualitative phase identified current e-marketing practices in Jordanian university libraries. The quantitative phase examined the relationships between the 7Ps of the e-marketing mix (e-product, e-pricing, e-place, e-promotion, people, process, and physical evidence) and customer satisfaction with electronic services. Furthermore, the study explored the moderating effect of technology turbulence on these relationships using structural equation modelling (SEM) (Smart PLS 3.0). The findings revealed that several e-marketing components significantly impact customer satisfaction. Specifically, well-designed e-products (e.g., databases, online tutorials), effective e-promotional activities, knowledgeable and helpful library staff, and clear and accessible service information (physical evidence) were all contributing factors. However, e-place and the process had a negative impact, and e-pricing was found to be non-significant in its direct effect. Additionally, the interactions between technology turbulence and e-products, e-promotions, people, and processes were non-significant. In contrast, the research identified that e-place had a negative impact and significant interactions between technology turbulence, e-pricing, and physical evidence. This research confirms the novelty of integrating e-marketing strategies in the university library context, so this research offers a novel framework for Jordanian university libraries to enhance student satisfaction with electronic services. The study contributes valuable insights for library managers and policymakers, enabling them to develop targeted strategies for promoting electronic information services and fostering a user-centric approach. Furthermore, the research adds to the existing knowledge base on e-marketing in the university library sector, particularly within the Arab region, especially in the Jordanian context, where this area remains relatively under-explored. Therefore, more empirical studies are needed to investigate and explore this gap in the research. The study's limitations, including the use of a voluntary response sample and the focus on Jordanian universities, highlight the need for further research to explore the generalizability of these findings across a broader population and geographical scope. Future research directions could involve investigating the long-term impact of e-marketing strategies on student learning outcomes and exploring integrating emerging technologies like artificial intelligence into the library service ecosystem.

Infectious disease crisis management relies heavily on contact tracing applications to curb transmission. With advancements in technology, smartphones, and mobile applications have revolutionized the process, enabling rapid identification and notification of individuals exposed to infectious diseases. These contact tracing applications, such as Malaysia's MySejahtera, provide real-time data to health authorities, facilitating targeted interventions and reducing disease transmission. Understanding user sentiments toward these applications is critical to improving their effectiveness and acceptance. However, there remains a significant research gap regarding sentiment analysis, influencing factors, and usability models specific to Malaysia. This research investigates user sentiment polarity toward contact tracing applications, identifies factors driving positive and negative sentiments, and proposes a usability model tailored to these factors. The methodology involves sentiment analysis using supervised binary classification algorithms and thematic analysis of user reviews of MySejahtera. Key factors influencing sentiment are identified and integrated into a usability model, developed deductively from Hoehle and Venkatesh’s (2015) framework and relevant literature. The findings indicate that the K-Nearest Neighbour (K-NN) algorithm achieves the best performance with an F-measure of 83.99%. The majority of users express positive sentiment, attributed to factors such as User Interface Input, Application Utility, and Application Design. Negative sentiment, however, is also linked to Application Utility and Design. The proposed usability model comprises seven higher-order constructs and fourteen lower-order constructs, which were validated statistically to confirm its robustness. This research contributes significantly to the fields of sentiment analysis and usability by providing actionable insights for developers and public health authorities. The usability model offers a comprehensive framework for improving contact tracing applications, addressing user concerns, and optimizing usability to enhance public health outcomes.