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Today, the trend of the Internet of Things (IoT) is increasing through the use of smart devices, vehicular networks, and household devices with internet-based networks. Specifically, the IoT smart devices and gadgets used in government and military are crucial to operational success. Communication and data sharing between these devices have increased in several ways. Similarly, the threats of information breaches between communication channels have also surged significantly, making data security a challenging task. In this context, access control is an approach that can secure data by restricting unauthorized users. Various access control models exist that can effectively implement access control yet, and there is no single state-of-the-art model that can provide dynamicity, security, ease of administration, and rapid execution all at once. In combating this loophole, we propose a novel secure and dynamic access control (SDAC) model for the IoT networks (smart traffic control and roadside parking management). Our proposed model allows IoT devices to communicate and share information through a secure means by using wired and wireless networks (Cellular Networks or Wi-Fi). The effectiveness and efficiency of the proposed model are demonstrated using mathematical models and discussed with many example implementations.
Muhammad Umar Aftab; Ariyo Oluwasanmi; Abdullah Alharbi; Osama Sohaib; Xuyun Nie; Zhiguang Qin; Son Tung Ngo. Secure and dynamic access control for the Internet of Things (IoT) based traffic system. PeerJ Computer Science 2021, 7, e471 .
AMA StyleMuhammad Umar Aftab, Ariyo Oluwasanmi, Abdullah Alharbi, Osama Sohaib, Xuyun Nie, Zhiguang Qin, Son Tung Ngo. Secure and dynamic access control for the Internet of Things (IoT) based traffic system. PeerJ Computer Science. 2021; 7 ():e471.
Chicago/Turabian StyleMuhammad Umar Aftab; Ariyo Oluwasanmi; Abdullah Alharbi; Osama Sohaib; Xuyun Nie; Zhiguang Qin; Son Tung Ngo. 2021. "Secure and dynamic access control for the Internet of Things (IoT) based traffic system." PeerJ Computer Science 7, no. : e471.
This study researches the mediating consequence of social trust (identification-based trust and information-based trust) on the relationship between social networking services (SNS) use and social commerce intention. The study also explores whether and how gender differences impact the use of SNS on endogenous constructs. The proposed research model is empirically examined using a sample of 170 consumers who have had a prior online shopping experience. The statistical analysis employs partial least squares structural equation modelling (PLS-SEM) methods such as PLS algorithm, model assessments, PLS predict, PLS goodness-of-fit, invariance assessment and multi-group analysis, and importance-performance map analysis. The study provides empirical insights into the effects of SNS on social trust towards s-commerce intention. Also, men and woman consumers are found to exhibit different emphases in using SNS to trust the s-commerce.
Osama Sohaib. Social Networking Services and Social Trust in Social Commerce. Journal of Global Information Management 2021, 29, 23 -44.
AMA StyleOsama Sohaib. Social Networking Services and Social Trust in Social Commerce. Journal of Global Information Management. 2021; 29 (2):23-44.
Chicago/Turabian StyleOsama Sohaib. 2021. "Social Networking Services and Social Trust in Social Commerce." Journal of Global Information Management 29, no. 2: 23-44.
Today’s world is increasingly dependent on technology directly or indirectly. The rapid technological advancement has impacted people to adopt the technology. As cryptocurrency recently commenced, few studies have attempted to investigate this use of technology. In this study, the technology readiness aspects- Optimism, Innovativeness, Discomfort, and Insecurity are used to understand the people’s adoption of cryptocurrency. A multi-approach of Partial Least Squares- Structural Equation Modeling (PLS-SEM) and Deep learning Artificial Neural Network (ANN) analysis was performed. Deep learning Artificial Neural Network (ANN) analysis was performed to complement PLS-SEM findings and predict higher accuracy. This study shows that technology readiness dimensions - Optimism, Innovativeness, Discomfort, and Insecurity have meaningful relationships with cryptocurrency adoption.
Abdullah Alharbi; Osama Sohaib. Technology Readiness and Cryptocurrency Adoption: PLS-SEM and Deep Learning Neural Network Analysis. IEEE Access 2021, 9, 21388 -21394.
AMA StyleAbdullah Alharbi, Osama Sohaib. Technology Readiness and Cryptocurrency Adoption: PLS-SEM and Deep Learning Neural Network Analysis. IEEE Access. 2021; 9 ():21388-21394.
Chicago/Turabian StyleAbdullah Alharbi; Osama Sohaib. 2021. "Technology Readiness and Cryptocurrency Adoption: PLS-SEM and Deep Learning Neural Network Analysis." IEEE Access 9, no. : 21388-21394.
Absorptive capacity is a common barrier to knowledge transfer at the individual level. However, technology absorptive capacity can enhance an individual’s learning behaviour. This study investigates that technology readiness, the tools for knowledge sources, social influences, and social networks influence an individual’s absorptive capacity on an adaptation of the individual learning behaviour. A quantitative approach is used to assess the presence of a causal relationship from the constructs mentioned above. Data were collected from university students in Australia to examine the hypotheses. With 199 responses, a partial least squares structural equation modelling (PLS-SEM) approach was used for the analysis. The results generated mixed findings. Individual’s technological belief in optimism and innovation and social influences had a significantly weaker effect on individual absorptive capacity, which in turn had a significantly weaker impact on their learning behaviour.
Thomas Dolmark; Osama Sohaib; Ghassan Beydoun; Kai Wu. The Effect of Individual’s Technological Belief and Usage on Their Absorptive Capacity towards Their Learning Behaviour in Learning Environment. Sustainability 2021, 13, 718 .
AMA StyleThomas Dolmark, Osama Sohaib, Ghassan Beydoun, Kai Wu. The Effect of Individual’s Technological Belief and Usage on Their Absorptive Capacity towards Their Learning Behaviour in Learning Environment. Sustainability. 2021; 13 (2):718.
Chicago/Turabian StyleThomas Dolmark; Osama Sohaib; Ghassan Beydoun; Kai Wu. 2021. "The Effect of Individual’s Technological Belief and Usage on Their Absorptive Capacity towards Their Learning Behaviour in Learning Environment." Sustainability 13, no. 2: 718.
One of the significant challenges for cloud providers is how to manage resources wisely and how to form a viable service level agreement (SLA) with consumers to avoid any violation or penalties. Some consumers make an agreement for a fixed amount of resources, these being the required resources that are needed to execute its business. Consumers may need additional resources on top of these fixed resources, known as– marginal resources that are only consumed and paid for in case of an increase in business demand. In such contracts, both parties agree on a pricing model in which a consumer pays upfront only for the fixed resources and pays for the marginal resources when they are used. A marginal resource allocation is a challenge for service provider particularly small- to medium-sized service providers as it can affect the usage of their resources and consequently their profits. This paper proposes a novel marginal resource allocation decision support model to assist cloud providers to manage the cloud SLAs before its execution, covering all possible scenarios, including whether a consumer is new or not, and whether the consumer requests the same or different marginal resources. The model relies on the capabilities of the user-based collaborative filtering method with an enhanced top-k nearest neighbor algorithm and a fuzzy logic system to make a decision. The proposed framework assists cloud providers manage their resources in an optimal way and avoid violations or penalties. Finally, the performance of the proposed model is shown through a cloud scenario which demonstrates that our proposed approach can assists cloud providers to manage their resources wisely to avoid violations.
Walayat Hussain; Osama Sohaib; Mohsen Naderpour; Honghao Gao. Cloud Marginal Resource Allocation: A Decision Support Model. Mobile Networks and Applications 2019, 25, 1418 -1433.
AMA StyleWalayat Hussain, Osama Sohaib, Mohsen Naderpour, Honghao Gao. Cloud Marginal Resource Allocation: A Decision Support Model. Mobile Networks and Applications. 2019; 25 (4):1418-1433.
Chicago/Turabian StyleWalayat Hussain; Osama Sohaib; Mohsen Naderpour; Honghao Gao. 2019. "Cloud Marginal Resource Allocation: A Decision Support Model." Mobile Networks and Applications 25, no. 4: 1418-1433.
The Majority of previous research on new technology acceptance has been conducted with single-step Structural Equation Modeling (SEM) based methods. The primary purpose of the study is to enhance the new technology acceptance based research with the Artificial Neural Network (ANN) method to enable more precise and in-depth research results as compared to the single-step SEM method. This study measures the relation between technology readiness dimension (optimism, innovativeness, discomfort, insecurity) and the technology acceptance (perceived ease of use and perceived usefulness) – and the intention to use cryptocurrency, such as bitcoin. The contribution of this study include the use of a multi-analytical approach by combining Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis. First, PLS-SEM was applied to assess which factor has significant influence toward intention to use cryptocurrency. Second, an ANN was employed to rank the relative influence of the significant predictor variables attained from the PLS-SEM. The findings of the two-step PLS-SEM and ANN approach confirm that the use of ANN further verifies the results obtained by the PLS-SEM analysis. Also, ANN is capable of modelling complex linear and non-linear relationships with high predictive accuracy compared to SEM methods. Also, an Importance-Performance Map Analysis (IPMA) of the PLS-SEM results provides a more specific understanding of each factor–s importance-performance.
Osama Sohaib; Walayat Hussain; Muhammad Asif; Muhammad Ahmad; Manuel Mazzara; Hanan Aljuaid. A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption. IEEE Access 2019, 8, 13138 -13150.
AMA StyleOsama Sohaib, Walayat Hussain, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara, Hanan Aljuaid. A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption. IEEE Access. 2019; 8 (99):13138-13150.
Chicago/Turabian StyleOsama Sohaib; Walayat Hussain; Muhammad Asif; Muhammad Ahmad; Manuel Mazzara; Hanan Aljuaid. 2019. "A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption." IEEE Access 8, no. 99: 13138-13150.
Walayat Hussain; Osama Sohaib. Analysing Cloud QoS Prediction Approaches and Its Control Parameters: Considering Overall Accuracy and Freshness of a Dataset. IEEE Access 2019, 7, 82649 -82671.
AMA StyleWalayat Hussain, Osama Sohaib. Analysing Cloud QoS Prediction Approaches and Its Control Parameters: Considering Overall Accuracy and Freshness of a Dataset. IEEE Access. 2019; 7 ():82649-82671.
Chicago/Turabian StyleWalayat Hussain; Osama Sohaib. 2019. "Analysing Cloud QoS Prediction Approaches and Its Control Parameters: Considering Overall Accuracy and Freshness of a Dataset." IEEE Access 7, no. : 82649-82671.
Cloud computing is truly transforming the way e-commerce firms do business. While there has been a sharp increase in the use of cloud computing in e-commerce, the benefits of cloud service models have yet to be explored, particularly for small-to-medium-sized businesses. A strong e-commerce offering depends on a reliable and secure online store, therefore it is important for decision makers to adopt the optimal cloud computing service model such as software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS), which is a multi-criteria decision-making problem (MCDM). To address this MCDM problem, we propose a novel 2-tuple fuzzy linguistic multi-criteria group decision-making method based on the technique for order preference by similarity to ideal solution (TOPSIS) and rely upon a technology-organization-environment (TOE) framework to determine a set of appropriate criteria. The proposed methodology is applied to a small-to-medium-sized company to facilitate assessing the factors associated with cloud-based e-commerce and making the decision. The result analysis indicates that SaaS is the best choice for small and medium-sized e-commerce businesses considering criteria such as complexity, reliability, security and privacy, organization readiness and firm size, while the selection of PaaS or IaaS can be reinforced considering their compatibility and scalability.
Osama Sohaib; Mohsen Naderpour; Walayat Hussain; Luis Martinez. Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method. Computers & Industrial Engineering 2019, 132, 47 -58.
AMA StyleOsama Sohaib, Mohsen Naderpour, Walayat Hussain, Luis Martinez. Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method. Computers & Industrial Engineering. 2019; 132 ():47-58.
Chicago/Turabian StyleOsama Sohaib; Mohsen Naderpour; Walayat Hussain; Luis Martinez. 2019. "Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method." Computers & Industrial Engineering 132, no. : 47-58.
This article describes how despite the extensive academic interest in e-commerce, an investigation of consumer cognitive innovativeness towards new product purchase intention has been neglected. Based on the stimulus–organism–response (S–O–R) model, this study investigates the consumer cognitive innovativeness and the moderating role of the individual consumer-level uncertainty avoidance cultural value towards new product purchase intention in business-to-consumer (B2C) e-commerce. Structural equation modelling, such as partial least squares (PLS) path modelling was used to test the model, using a sample of 255 participants in Australia who have had prior online shopping experience. The findings show that the online store web atmosphere influences consumers' cognitive innovativeness to purchase new products in countries with diverse degrees of uncertainty avoidance such as Australia. The results provide some guidance for a B2C website design based on how individual's uncertainty avoidance and cognitive innovativeness can aid the online consumer purchasing decision-making process.
Osama Sohaib; Kyeong Kang; Iwona Miliszewska. Uncertainty Avoidance and Consumer Cognitive Innovativeness in E-Commerce. Journal of Global Information Management 2019, 27, 59 -77.
AMA StyleOsama Sohaib, Kyeong Kang, Iwona Miliszewska. Uncertainty Avoidance and Consumer Cognitive Innovativeness in E-Commerce. Journal of Global Information Management. 2019; 27 (2):59-77.
Chicago/Turabian StyleOsama Sohaib; Kyeong Kang; Iwona Miliszewska. 2019. "Uncertainty Avoidance and Consumer Cognitive Innovativeness in E-Commerce." Journal of Global Information Management 27, no. 2: 59-77.
The rapid urbanization and environmental imbalance have significantly challenged Pakistan's organizational capacity to respond and initiate relief efforts and hence increasing its vulnerability to flood disaster situations. This study considers systems thinking approaches such as, Causal Loop Diagram (CLD) and Driver-Pressures-States-Impacts-Responses (DPSIR) framework to identify key stakeholders to disaster risk reduction and analyze various social, technical, institutional, cultural, infrastructural and environmental factors that contribute to flooding in Pakistan. Based on the information collected through expert interviews with key government officials and analyzing the existing literature and research reports on floods and disaster management, policy recommendations for long-term flood disaster response strategies have been made. The comprehensive set of recommendations towards effective flood management and mitigation would help build resilience from floods by raising community awareness and enhancing institutional capacities at federal, provincial and district government levels in the countries like Pakistan and other developing nations facing catastrophic flood situations.
Junaid Rehman; Osama Sohaib; Mohammad Asif; Biswajeet Pradhan. Applying systems thinking to flood disaster management for a sustainable development. International Journal of Disaster Risk Reduction 2019, 36, 101101 .
AMA StyleJunaid Rehman, Osama Sohaib, Mohammad Asif, Biswajeet Pradhan. Applying systems thinking to flood disaster management for a sustainable development. International Journal of Disaster Risk Reduction. 2019; 36 ():101101.
Chicago/Turabian StyleJunaid Rehman; Osama Sohaib; Mohammad Asif; Biswajeet Pradhan. 2019. "Applying systems thinking to flood disaster management for a sustainable development." International Journal of Disaster Risk Reduction 36, no. : 101101.
Saif Ullah; Muhammad Asif; Shahbaz Ahmad; Ulfat Imdad; Osama Sohaib. Application of Data Science for Controlling Energy Crises. Proceedings of the 2019 8th International Conference on Software and Computer Applications 2019, 60 -64.
AMA StyleSaif Ullah, Muhammad Asif, Shahbaz Ahmad, Ulfat Imdad, Osama Sohaib. Application of Data Science for Controlling Energy Crises. Proceedings of the 2019 8th International Conference on Software and Computer Applications. 2019; ():60-64.
Chicago/Turabian StyleSaif Ullah; Muhammad Asif; Shahbaz Ahmad; Ulfat Imdad; Osama Sohaib. 2019. "Application of Data Science for Controlling Energy Crises." Proceedings of the 2019 8th International Conference on Software and Computer Applications , no. : 60-64.
The availability of cheap depth range sensors has increased the use of an enormous amount of 3D information in hand-held and head-mounted devices. This has directed a large research community to optimize point cloud storage requirements by preserving the original structure of data with an acceptable attenuation rate. Point cloud compression algorithms were developed to occupy less storage space by focusing on features such as color, texture, and geometric information. In this work, we propose a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene. Segmentation is performed by using a region growing segmentation algorithm. The points under the boundary of the surfaces are discarded that can be recovered through the polynomial equations of degree one in the decompression phase. We have compared the proposed technique with existing techniques using publicly available datasets for indoor architectural scenes. The results show that the proposed novel technique outperformed all the techniques for compression rate and RMSE within an acceptable time scale.
Ulfat Imdad; Muhammad Asif; Mirza Tahir Ahmad; Osama Sohaib; Muhammad Kashif Hanif; Muhammad Hasanain Chaudary. Three Dimensional Point Cloud Compression and Decompression Using Polynomials of Degree One. Symmetry 2019, 11, 209 .
AMA StyleUlfat Imdad, Muhammad Asif, Mirza Tahir Ahmad, Osama Sohaib, Muhammad Kashif Hanif, Muhammad Hasanain Chaudary. Three Dimensional Point Cloud Compression and Decompression Using Polynomials of Degree One. Symmetry. 2019; 11 (2):209.
Chicago/Turabian StyleUlfat Imdad; Muhammad Asif; Mirza Tahir Ahmad; Osama Sohaib; Muhammad Kashif Hanif; Muhammad Hasanain Chaudary. 2019. "Three Dimensional Point Cloud Compression and Decompression Using Polynomials of Degree One." Symmetry 11, no. 2: 209.
Technology business incubators support economic growth by developing innovative technologies. However, assessing the performance of technology business incubators in Saudi Arabia has not been well recognised. This study provides a conceptual framework for assessing technology business incubators based on knowledge sharing practices and sharing, diffusion of innovation and individual creativity. Partial least squares structural equation modelling, such as (PLS-SEM) path modelling was used to test the model. The results provide empirical insights about the performance of technology business incubators. The findings show knowledge donation and collection has positive effects on technology business incubator. The importance–performance map analysis shows additional findings and conclusions for managerial actions.
Muhammad Binsawad; Osama Sohaib; Igor Hawryszkiewycz. FACTORS IMPACTING TECHNOLOGY BUSINESS INCUBATOR PERFORMANCE. International Journal of Innovation Management 2019, 23, 1 .
AMA StyleMuhammad Binsawad, Osama Sohaib, Igor Hawryszkiewycz. FACTORS IMPACTING TECHNOLOGY BUSINESS INCUBATOR PERFORMANCE. International Journal of Innovation Management. 2019; 23 (01):1.
Chicago/Turabian StyleMuhammad Binsawad; Osama Sohaib; Igor Hawryszkiewycz. 2019. "FACTORS IMPACTING TECHNOLOGY BUSINESS INCUBATOR PERFORMANCE." International Journal of Innovation Management 23, no. 01: 1.
Mujid Attar; Kyeong Kang; Osama Sohaib. Knowledge Sharing Practices, Intellectual Capital and Organizational Performance. Proceedings of the 52nd Hawaii International Conference on System Sciences 2019, 1 .
AMA StyleMujid Attar, Kyeong Kang, Osama Sohaib. Knowledge Sharing Practices, Intellectual Capital and Organizational Performance. Proceedings of the 52nd Hawaii International Conference on System Sciences. 2019; ():1.
Chicago/Turabian StyleMujid Attar; Kyeong Kang; Osama Sohaib. 2019. "Knowledge Sharing Practices, Intellectual Capital and Organizational Performance." Proceedings of the 52nd Hawaii International Conference on System Sciences , no. : 1.
Despite the extensive academic interest in e-commerce, cognitive innovativeness in e-commerce context has been neglected. This study focuses on the moderating role of consumer cognitive innovativeness on the influencing factors of interpersonal trust (iTrust) towards online purchase intention of new product in business-to-consumer (B2C) e-commerce. Data were collected in Australia from consumers who has had prior online shopping experience. Variance-based structural equation modeling such as partial least squares (PLS-SEM) is used to test the research model. The results show men and women have different perceptions of what is important to be provided by an online store to make a positive shopping experience. We highlighted that in-addition to the e-commerce web design aspects; the individual cognitive innovativeness can influence females more to purchase online. Practitioners should adjust their online business strategies, considering consumer cognitive innovativeness to enhance their e-commerce desirable outcomes. This means online business should not treat their consumers as a uniform group with a ‘one-design-fits-all’ web design strategy but need to consider the individual needs of their male and female consumers.
Osama Sohaib; Kyeong Kang; Mohammad Nurunnabi. Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness. Sustainability 2018, 11, 175 .
AMA StyleOsama Sohaib, Kyeong Kang, Mohammad Nurunnabi. Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness. Sustainability. 2018; 11 (1):175.
Chicago/Turabian StyleOsama Sohaib; Kyeong Kang; Mohammad Nurunnabi. 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness." Sustainability 11, no. 1: 175.
The increased demand for information systems drives businesses to rethink their customer needs to a greater extent and undertake innovation to compete in the marketplace. The design thinking (DT) is a human-centered methodology leads to creativity and innovation. The agile applications development such as extreme programming (XP) as a rapid application development approach tends to focus on perfecting functionality requirement and technical implementation. However, it causes significant challenges to building software/applications to meet the needs of end-user. This study integrates DT practices into XP methodology to improve the quality of software product for the end-users and enable businesses to achieve creativity and innovation. The proposed integrated [email protected] framework presents the various DT practices (empathy, define, persona, DT user stories) are adapted into XP exploration phase, prototyping and usability evaluation into XP planning phase. Our work demonstrates the applicability of DT concepts to analyze customer/user involvement in XP projects.
Osama Sohaib; Hiralkumari Solanki; Navkiran Dhaliwa; Walayat Hussain; Muhammad Asif. Integrating design thinking into extreme programming. Journal of Ambient Intelligence and Humanized Computing 2018, 10, 2485 -2492.
AMA StyleOsama Sohaib, Hiralkumari Solanki, Navkiran Dhaliwa, Walayat Hussain, Muhammad Asif. Integrating design thinking into extreme programming. Journal of Ambient Intelligence and Humanized Computing. 2018; 10 (6):2485-2492.
Chicago/Turabian StyleOsama Sohaib; Hiralkumari Solanki; Navkiran Dhaliwa; Walayat Hussain; Muhammad Asif. 2018. "Integrating design thinking into extreme programming." Journal of Ambient Intelligence and Humanized Computing 10, no. 6: 2485-2492.
Web accessibility related to cloud computing is more concerned at the application level where a human interacts with an application via a user interface. Although previous research has identified web accessibility influences on website effectiveness, the evaluation of the relative importance of web accessibility on software-as-a-service (SaaS) e-commerce platform has not been empirically determined. This study evaluates the web accessibility of SaaS e-commerce platform websites. The web accessibility features from the cloud accessibility taxonomy framework were evaluated for people with disabilities such as sensory (hearing and vision), motor (limited use of hands) and cognitive (language and learning disabilities) impairments. We conducted an expert evaluation using Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). The results show Shopify cloud-based e-commerce platform has a high number of web accessibility features from the proposed cloud accessibility framework followed by 3dCart, BigCommerce, Volusion, and WooCommerce.
Osama Sohaib; Mohsen Naderpour; Walayat Hussain. SaaS E-Commerce Platforms Web Accessibility Evaluation. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2018, 1 -7.
AMA StyleOsama Sohaib, Mohsen Naderpour, Walayat Hussain. SaaS E-Commerce Platforms Web Accessibility Evaluation. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2018; ():1-7.
Chicago/Turabian StyleOsama Sohaib; Mohsen Naderpour; Walayat Hussain. 2018. "SaaS E-Commerce Platforms Web Accessibility Evaluation." 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) , no. : 1-7.
For university websites to be successful and to increase the chance of converting a prospective student into a current student, it is necessary to increase the visibility and accessibility of all related content so that a student can achieve their desired task in the fastest possible time. The criteria for evaluating university websites are very vague and are usually unknown to most developers, which adversely impacts the user-experience of the students visiting such websites. To solve this problem, we devised a usability metric and examined the leading university websites to analyze whether these websites were able to meet the requirements of students. In this research, we applied qualitative and quantitative approaches by considering 300 students and evaluating 86 university websites (26 from Canada, 30 from the United States, and 30 from Europe) based on a six-attribute metric comprising navigation, organization, ease of use (simplicity), design (layout), communication and content. From the evaluation results, we find that the 88% of the students are satisfied with our proposed usability attributes, but that most universities fail to meet basic standards of usability as desired by the students. The findings also show that the usability evaluation score for each usability feature varies from country to country, such as for (1) multiple language support − 23% of the Canadian websites, 63% of the European websites and none of the USA websites has the feature; for (2) Scholarships/Funding/Financial Aid link − 24% of the Canadian websites, 80% of the European and the USA websites has the feature; for (3) admission link − 88% of the Canadian websites, 20% of the European websites and 90% of the USA websites has the feature. In addition, from the evaluative result we find that our proposed approach will not only increase the usability of academic websites but will also provide an easiest way to covert prospective student inquiries into enrollment opportunities.
Mirfa Manzoor; Walayat Hussain; Osama Sohaib; Farookh Khadeer Hussain; Salem Alkhalaf. Methodological investigation for enhancing the usability of university websites. Journal of Ambient Intelligence and Humanized Computing 2018, 10, 531 -549.
AMA StyleMirfa Manzoor, Walayat Hussain, Osama Sohaib, Farookh Khadeer Hussain, Salem Alkhalaf. Methodological investigation for enhancing the usability of university websites. Journal of Ambient Intelligence and Humanized Computing. 2018; 10 (2):531-549.
Chicago/Turabian StyleMirfa Manzoor; Walayat Hussain; Osama Sohaib; Farookh Khadeer Hussain; Salem Alkhalaf. 2018. "Methodological investigation for enhancing the usability of university websites." Journal of Ambient Intelligence and Humanized Computing 10, no. 2: 531-549.
Cloud computing promises enhanced scalability, flexibility, and cost-efficiency. In practice, however, there are many uncertainties about the usage of cloud computing resources in the e-commerce context. As e-commerce is dependent on a reliable and secure online store, it is important for decision makers to adopt an optimal cloud computing mode (Such as SaaS, PaaS and IaaS). This study assesses the factors associated with cloud-based e-commerce based on TOE (technological, organizational, and environmental) framework using multi-criteria decision-making technique (Fuzzy TOPSIS). The results show that Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach proposes software-as-a-service (SaaS) as the best choice for e-commerce business.
Osama Sohaib; Mohsen Naderpour. Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2017, 1 -6.
AMA StyleOsama Sohaib, Mohsen Naderpour. Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2017; ():1-6.
Chicago/Turabian StyleOsama Sohaib; Mohsen Naderpour. 2017. "Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS." 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) , no. : 1-6.
Internet of Things (IoT) is an interconnection between the physical object and digital world. As a result, many e-commerce companies seize the advantages of the IoT to grow their business. However, the world's largest minority are people with disabilities. IoT can lower barriers for the disabled people by offering assistance in accessing information. Increasing Internet accessibility can help to make that happen for both social and economic benefit. This paper presents the proposed integrated framework of the IoT and cloud computing for people with disabilities such as sensory (hearing and vision), motor (limited use of hands) and cognitive (language and learning disabilities) impairments in the context of business-to-consumer e-commerce context. We conclude that IoT-enabled services offer great potential for success of disabled people in the context of online shopping.
Osama Sohaib; Hai Yan Lu; Walayat Hussain. Internet of Things (IoT) in E-commerce: For people with disabilities. 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2017, 419 -423.
AMA StyleOsama Sohaib, Hai Yan Lu, Walayat Hussain. Internet of Things (IoT) in E-commerce: For people with disabilities. 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). 2017; ():419-423.
Chicago/Turabian StyleOsama Sohaib; Hai Yan Lu; Walayat Hussain. 2017. "Internet of Things (IoT) in E-commerce: For people with disabilities." 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) , no. : 419-423.