In today's digital age, businesses invest substantial resources in paid advertising campaigns to enhance their online presence and attract customers. This study delves into the critical aspects of measuring the return on investment (ROI) of such campaigns and explores their impact on overall business profitability. Through a comprehensive analysis of data from various industries, this research investigates the effectiveness of paid advertising in generating revenue and its role in shaping a company's bottom line. Key findings indicate that calculating the ROI of paid advertising is a multifaceted challenge, involving factors such as ad spend, conversion rates, and customer lifetime value. The study also underscores the importance of tracking and attributing conversions accurately to assess the true impact of advertising efforts. Ultimately, the research suggests that while paid advertising campaigns can be costly, a well-executed and data-driven approach can yield a substantial positive effect on a company's profitability, making them a valuable component of a comprehensive digital marketing strategy. As businesses navigate the dynamic digital marketing environment, this study provides valuable insights for marketing professionals, business leaders, and decision-makers seeking to enhance their advertising strategies and drive improved financial performance.

This research focuses on the moderating effect of culture on the relationships between KMS and other variables affecting KMS in the service industry. The effects of a number of variables on KMS were examined via analysis and hypothesis testing. These variables included culture; people; process; strategy; and technology. The results show that culture and people have a substantial impact on KMS's performance, emphasizing the need of cultivating a supportive company culture and empowering employees. Furthermore, strategy and technology were shown to be critical in allowing effective knowledge management practices in the service industry. The research also investigates the moderating impacts of culture on these linkages, demonstrating that culture modulates the impact of process, technology, and strategy on KMS. However, it was shown that the interplay between culture and people did not substantially alter the link between people and KMS. These results provide useful insights for firms looking to improve their knowledge management methods, underlining the need to take culture into account and aligning it with strategic goals and technology solutions. While the study adds to our understanding of knowledge management in the service industry, further research is needed to investigate other elements and situations. Overall, this research has practical significance for firms looking to enhance their knowledge management activities and overall organizational performance.

This research examines the synergistic influence of inventory competition, artificial intelligence (AI) adoption, and digital marketing intensity on quality improvement decisions within contemporary supply chains. With a focus on enhancing product and service quality, we investigate the intricate relationships among these variables. A quantitative approach involving 380 supply chain professionals reveals that heightened inventory competition, increased AI adoption, and robust digital marketing significantly contribute to quality enhancement initiatives. The study builds upon prior research by empirically validating these connections and offers practical insights for supply chain practitioners. The findings underscore the strategic imperative of organizations to strategically balance these factors to optimize their quality management strategies, fostering customer satisfaction and competitiveness. While offering valuable contributions, the study acknowledges limitations in terms of self-reported data and a specific respondent group. Future research could extend this investigation to diverse industries and geographical contexts. In the end, this study sheds light on the complex interplay that exists between inventory competition, the use of AI, digital marketing, and judgments about quality improvement. As a result, a road map has been provided for efficient quality management of supply chains in the digital age.

This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of BI resource management. The study also underlines the importance of BI Scope as a moderator variable, demonstrating its impact on the connection between BI and quality of decision-making. In addition, the research shows that Data Quality and Data Visualization have a considerable influence on strategic decision-making quality. Using effective visualization tools and ensuring high-quality data improves the results of decision-making processes. The interaction impact between BI Scope and Data Quality, on the other hand, was determined to be non-significant.

The primary goal of this study is to investigate the major elements that impact customer attitudes regarding internet purchasing in Jordan. This study employed a qualitative systematic literature review methodology, with 100 existing peer-reviewed articles completed in Jordan chosen for evaluation based on an inclusion/exclusion criterion. The findings of this study were collected utilizing a thematic method, which involved extracting previous researchers' findings from the literature, categorizing similar themes and findings, and drawing conclusions. According to the findings of this survey, the most important elements impacting customer attitudes about online buying in Jordan are trust, cultural hurdles such as uncertainty avoidance and a lack of understanding, security, perceived ease-of-use, and perceived utility. It was also discovered that Hofstede's cultural dimensions’ theory and the technology acceptance model (TAM) can help online businesses identify what factors drive online shopping adoption in Jordan. This study discovered, through a review of available literature, that the online shopping sector in Jordan is currently undeveloped, necessitating more effective growth techniques. Finally, the outcomes of this study provide online merchants with insight into what has to be prioritized in order to entice Jordanian customers to make online purchases. From the findings of this investigation, three areas of inquiry were uncovered for further study. Findings from this study also include suggestions for online retailers and policymakers looking to boost Jordanians' comfort level with making purchases over the Internet. The findings of this study will be invaluable to international online retailers that are considering entering the Jordanian market. They will reveal not only the most important aspects affecting consumers' perceptions of online shopping in Jordan, but also the level of maturity of this sector.