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This study systematically reviews global practices in AI-enabled digital marketing for startups and examines the implementation challenges faced by Egyptian entrepreneurs. By systematically reviewing 21 studies (2017–2023) from Scopus, Web of Science, and Science Direct, the research highlights how AI enhances engageme …
Effective communication through digital platforms often faces issues like misspellings and inefficient typing. A next-word prediction system that suggests probable words can significantly enhance sentence construction, especially for Afaan Oromo - a Cushitic language spoken by over 41.7 million people in Ethiopia. Desp …
The incorporation of machine learning (ML) approaches into business intelligence (BI) results in a great impact on fields that require predictive analysis, such as the real estate market. An accurate prediction of housing prices can provide benefits to stakeholders such as developers, investors, and policy planners. Th …
The increasing demand for personalized advertising based on user preferences is driving a surge in popularity. Social networks utilize millions of user’ data to suggest ads based on specific criteria. However, many of these ads can be uninteresting. This paper presents a collaborative advertisement recommendation syste …
Audit fees are considered important issues for the client and the auditors and a critical component of corporate governance in business environment. Abnormal audit profits or costs can signal underlying issues in audit quality, auditor independence, or financial health of the audited entity. Understanding the factors t …
Fuelled by the advent of process-oriented approaches to writing instruction, written corrective feedback (WCF) has garnered popularity, as a written communication skill, in second and foreign language writing research. Despite the prior reviews on WCF so far, no attempt has been made to synthesize existing research evi …
The present study, following a sequential mixed-methods design, aimed at examining whether internet-based applications, including Big-BlueButton and Skype online instruction differ in terms of communication anxiety and oral communication skills for EFL learners. A pool of 32 Iranian pre-intermediate EFL students partic …
Despite its theoretical importance, there is a scarcity of experimental research into the effectiveness of internet-based applications in the English classroom context. The present study, using a mixed-methods design, aimed at examining whether online applications, including Adobe Connect and BigBlueButton, could impro …
Due to its easy access and ubiquity, Mobile Assisted Language Learning (MALL) can benefit language learners with no restriction of time and place. The present study, with pre-experimental design, which was carried out on 145 Iraqi EFL learners, first studied the effect of MALL on the learners’ English reading comprehen …
This paper reviews the practice of ChatGPT in the field of finance and banking through a natural language processing (NLP) system developed by OpenAI. We also discuss applications of ChatGPT in finance and banking, such as the detection of fraud, risk management, forecasting and analysis of the market, management of in …