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The persuasive design of e-commerce websites has been shown to support people with online purchases. Therefore, it is important to understand how persuasive applications are used and assimilated into e-commerce website designs. This paper demonstrates how the PSD model's persuasive features could be used to build a bridge supporting the extraction and evaluation of persuasive features in such e-commerce websites; thus practically explaining how feature implementation can enhance website persuasiveness. To support a deeper understanding of persuasive e-commerce website design, this research, using the Persuasive Systems Design (PSD) model, identifies the distinct persuasive features currently assimilated in ten successful e-commerce websites. The results revealed extensive use of persuasive features; particularly features related to dialogue support, credibility support, and primary task support; thus highlighting weaknesses in the implementation of social support features. In conclusion we suggest possible ways for enhancing persuasive feature implementation via appropriate contextual examples and explanation.

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Citizen reporting applications are considered a new approach for interaction between government authorities and citizens. Citizen reporting applications are implemented to collectively gather information from citizens on issues related to public interest such as accidents, traffic violations, and commercial frauds. Through utilizing citizen reporting applications, citizens are able to provide information about incidents efficiently and conveniently to the local authorities via mobile applications that are designed for these specific purposes. For such applications to be successful, citizens' willingness to participate continually and to become daily users of these applications is required. This paper applies the selfdetermination theory to investigate the factors that encourage citizens to participate in citizen reporting applications. In this study, the factors impacting behavioural intention to use the applications are divided into two categories. First, intrinsic motivation factors that include self-concern, social responsibility, and revenge. Second, extrinsic motivation factors that include output quality and rewards. The study empirically surveyed 297 Saudi citizens from different age groups. The partial least square (PLS) approach validates the research model. Findings reveal that output quality, revenge, and self-concern are significantly associated with citizens' motivations to use the applications, whereas rewards and social responsibility do not significantly influence citizens' motivations to engage with such applications. This study contributes theoretically by enriching literature on the identification of the factors behind user's engagement in citizen reporting applications. It also contributes practically by supporting the developers of citizen reporting applications to consider these factors when designing and marketing this kind of application.

In recent years, the financial industry is seeing rapid implementation of an increasing number of new technologies. In crowdfunding campaigns, borrowers, potential investors, and platform providers may face some issues in terms of information disclosures, selecting an appropriate threshold, and platform insolvency. However, there is insufficient research to provide a cohesive view of the regulatory framework for crowdfunding platforms. This research offers comparative and comprehensive insights through a systematic literature review (SLR) in analyzing the existing regulatory environment across countries. The results suggest the fundamental regulatory framework in supporting startups, early-stage companies, innovation and entrepreneurs, and balancing investor protections and support for businesses seeking to raise funds, particularly in protecting client's fund, crowdfunding advertising law, fundraising and investment limit, authorization and disclosure obligations. This study contributes to providing a comprehensive understanding of crowdfunding regulatory frameworks and informing governments or policymakers in the future development or reform of crowdfunding regulation frameworks.

Since the emergence of the Covid-19, both factual and false information about the new virus has been disseminated. Fake news harms societies and must be combated. This research aims to identify Arabic fake news tweets and classify them into six categories: entertainment, health, politics, religious, social, and sports. The study also aims to uncover patterns in the spread of Arabic fake news associated with the Covid-19 pandemic. The researchers created an Arabic dictionary and used text classification based on a rule-based system to detect and categorize fake news. A dataset consisting of 5 million tweets was analyzed. The developed model achieves an overall accuracy of 78.1% with 70% precision and 98%recall. The model detected more than 26006 fake news tweets. Interestingly we found an association between the number of fake news tweets and dates. The result demonstrates that as more information and knowledge about Covid-19 become available over time, people's awareness increase, while the number of fake news tweets decreases. The categorization of false news indicates that the social category was highest in all Arab countries except Palestine, Qatar, Yemen, and Algeria. Conversely, fake news related to the entertainment category was the weakest dissemination in most Arab countries.

Persuasive technologies have been extensively applied in the context of e-commerce for the purpose of marketing, enhancing system credibility, and motivating users to adopt the systems. Recognising that persuasion impacts on consumer behaviour to purchase online have not been investigated previously. This study reviews theories of technology acceptance, and identifies their limitation in not considering the effect of persuasive technologies when determining user online technology acceptance. The study proposes a theoretical model that considers the effect of persuasive technologies on consumer acceptance of e-commerce websites; with consideration of other related variables, i.e. trust and technological attributes. Moreover the paper proposes a model based on the UTAUT2, which contains relevant contributing factors; including the concept of perceived persuasiveness.

Due to the Covid-19 pandemic, most universities needed to move to online teaching and learning, in some cases with very limited knowledge or experience in running online programmes. Engaging students online has become an imminent challenge that universities and academics are still trying to address. This paper reports on the findings from the experience of making the transition from an established collaborative learning activity delivered in a face-to-face environment to online collaborative learning supported by Microsoft Teams. Supported by an action research methodology, the paper evaluates this experience by comparing the outcomes of students' learning in the previous face-to-face and the online activities and the suitability of Microsoft Teams as a learning environment for collaborative learning for a postgraduate project management module. This research contributes to the growing knowledge of technology-enhanced learning by shedding light on how Microsoft Teams can support active and online collaborative learning in Higher Education.