Artificial intelligence (AI) is emerging as a disruptive force in many sectors, and using it in accounting isn’t an exception. This conceptual paper explores the role of AI in accounting, for financial reporting, auditing, and financial decision-making and provides accountants an opportunity to improve efficiency, accuracy, and decision support. AI, through data analytics, algorithms, automation, etc. has an important role in the field of accounting with some challenges also. The study also highlights the implications of AI in accounting for achieving several Sustainable Development Goals (SDGs). Firstly, AI-driven automation can restructure financial activities, reducing time and resource consumption, and contributing to SDG 8 (Decent Work and Economic Growth). In addition, by providing real-time data analysis, AI empowers businesses to make sustainable decisions based on real-time data, aligning with SDG 9 (Industry, Innovation, and Infrastructure) and SDG-16 (Peace, Justice, and Strong Institutions) and SDG 17 (Partnerships for the Goals). The paper has implications for policy makers, technology developers, financial institutions and business firms.

This research investigated user-centric strategies in mobile marketing, focusing on consumer engagement and conversion rates. 400 questionnaires were distributed, with 385 usable responses obtained. The study used Partial Least Squares (PLS) analysis to assess the relationships between user-centric strategies and desired outcomes. The analysis yielded positive findings, confirming the effectiveness of user-centric strategies in driving consumer engagement and improving conversion rates in mobile marketing. Personalized content recommendations, interactive features, ease of use, location-based services, social integration, and push notifications were found to positively influence consumer behavior. The study emphasized the importance of personalization as a key driver of consumer engagement and conversion rates in mobile marketing. Tailored messages and experiences based on user preferences significantly enhanced consumer engagement. Additionally, interactive features and seamless user experiences fostered increased engagement and improved conversion rates.

This study investigates the complex correlation between digital marketing strategies and consumer satisfaction in contemporary corporate environments. Our study employs various research methods and involves a cohort of 400 individuals. We utilize Partial Least Squares Structural Equation Modeling (PLS-SEM) for comprehensive analysis. The study examines many facets of digital marketing, including social media marketing, content marketing, and SEO, in order to comprehend their combined impact on consumer satisfaction. The findings illustrate the varied influence of digital marketing strategies on consumer contentment. Customized marketing is an essential factor that significantly influences the establishment of client relationships and the enhancement of satisfaction levels. The study emphasizes the substantial impact of the model in generating precise forecasts, underscoring the pivotal role of data-driven decision-making in formulating effective digital strategies. Crucially, our research indicates that companies that attain the most favorable results actively enhance their digital platforms. These organizations actively adapt their tactics to align with changing trends, regularly assess the effectiveness of platforms, and invest in staff training to ensure proficient digital engagement. Integrating client feedback systems is essential as it allows organizations to better their strategies, showcase commitment to consumer satisfaction, and bolster the overall effectiveness of their digital marketing endeavors.

Purpose: The objective of the study is to investigate how the quality of a website impacts the intent to purchase, as assessed by factors such as usability, quality of information, service interaction quality, eWOM, trust, and satisfaction. Theoretical framework: This research has provided empirical evidence of the factors that influence the online shopping behavior of consumers. Design/methodology/approach: The research was conducted using a quantitative approach, with SPSS statistical methods applied. An online survey was administered to 303 customers in Amman, the capital of Jordan. Findings: The results suggest that website quality, customer trust, and satisfaction significantly and positively impact eWOM, thereby increasing the intent to purchase among consumers in Jordan's e-commerce sector. Research, Practical & Social implications: This research offers valuable managerial principles to assist e-commerce businesses in improving their performance. It also provides valuable insights into the evaluation of eWOM and purchases intent in Jordan, serving as a foundation for future research in this area in Jordan and other countries. Originality/value: this study provides a foundation for future research to investigate the complex and multifaceted nature of online customer behaviour in the e-commerce context

This study aims to have a more diversified view of the online visibility through attempting to evaluate the effectiveness of various SEO strategies in placing on website in search engine result. This research involves 400 respondents where it checks how keywords as one of the SEO strategies affect website ranking as well as technical SEO and off-page strategies. The appropriateness of the relevant keyword, as the result shows, there is a significant connection with the website ranking, closely trailing the importance of technical SEO in positioning the website on the first page, exerting a pronounced impact. While off-page strategies are the third most dazzling one: a significant degree of its residence/impact on website ranking. This research is a significant contribution to the field of digital marketing and its literature as it delivers an in-depth understanding on the major factors that affects online visibility and website ranking.