Digital Management Sciences Journal

The impact of artificial intelligence adoption on firm performance: A comparative analysis of Amazon and Walmart.

Mohammed Rasheed — Tue, 30 Jun 2026 00:00:00 +0000

This study examines the relationship between artificial intelligence (AI) adoption and business performance through a comparative analysis of Amazon and Walmart over the period 2015–2023. The research aims to investigate whether higher levels of AI integration are associated with improved financial performance, growth, and profitability. The study is based on secondary financial data collected from annual reports and financial databases, using key performance indicators including revenue growth, return on assets (ROA), and return on equity (ROE). The findings reveal that Amazon, as a highly AI-driven company, experienced significantly higher revenue growth compared to Walmart, reflecting the role of AI in enhancing scalability, operational efficiency, and market expansion. However, the analysis also indicates that Amazon’s profitability measures are more volatile, largely due to continuous reinvestment in technology and infrastructure. In contrast, Walmart demonstrates more stable profitability and financial consistency despite slower growth rates. The study concludes that AI adoption is more strongly associated with long-term growth and scalability than with immediate short-term profitability. The results further suggest that the effectiveness of AI depends on how firms integrate technological innovation into their broader business strategies. Although AI provides competitive advantages and operational improvements, its financial benefits may require time to materialize. The study contributes to the growing literature on AI and firm performance and highlights the importance of strategic management in maximizing the value of AI investments.

The value relevance of accounting information and its impact on stock prices: an empirical study

Ehsan Qadir — Tue, 30 Jun 2026 00:00:00 +0000

Accounting information isn’t just background noise for the financial markets it sits right at the center of the action. Investors rely on numbers from financial statements, earnings per share, book value, cash flow, and capital employed when they try to figure out what a stock’s worth is. These figures do more than fill out a quarterly filing; they shape the story investors tell themselves about value and risk. This study digs into just how accounting data moves stock prices, working through evidence from academic research, quantitative models, and real-time statistics. The message comes through loud and clear: accounting numbers matter, a lot. They bridge the gap between what management knows and what the market can reasonably believe, giving investors a fighting chance to make sense of it all. This link isn’t just theoretical. Decades of research back it up, showing that the big four metrics earnings, book value, cash flows, and capital employed tie directly and powerfully to what happens on the trading floor. Reliable, transparent financial reporting isn’t just a nice-to-have for the industry; it’s the backbone of trust for everyone from investors to analysts, regulators to executives. The health and efficiency of markets hang on it.

Implementing Modern Islamic Education Management in the Face of the Challenges of Educational Digitalization

Pebi Julianto — Tue, 30 Jun 2026 00:00:00 +0000

This study aims to analyze the implementation of modern Islamic
education management in addressing the challenges of
educational digitization. The method used is a Systematic
Literature Review, examining various relevant scientific
literature from 2020 onward. The results indicate that digitization
has a positive impact on the management of Islamic education,
particularly in terms of administrative efficiency, learning
quality, and evaluation systems. The integration of technology
into learning enables a more flexible, interactive learning process
that is not limited by time or space. Additionally, adaptive and
data-driven leadership is a critical factor in supporting the success
of digital transformation. A curriculum that integrates Islamic
values with technology also contributes to maintaining a balance
between religious and modern aspects. However, this study also
identified various challenges, such as infrastructure limitations,
low digital competency among educators, and the digital divide.
Therefore, a comprehensive strategy is needed to optimize the
implementation of modern Islamic education management. This
study contributes to the development of an adaptive Islamic
education management concept that aligns with technological
advancements in the digital age.

Accounting information as a determinant of project decision making.

Mohammad Arshad Jawad — Tue, 30 Jun 2026 00:00:00 +0000

The study examines the relationship between accounting
information and project decision-making by focusing on key
dimensions such as financial information, information quality,
financial reporting, internal controls, and data analytics. These
elements are considered essential for providing managers with
accurate, relevant, and timely information that supports both
operational and strategic decision-making processes. The research
seeks to determine the extent to which accounting information
influences managerial decisions and contributes to improved
organizational performance. A mixed-method research approach
was employed, incorporating both quantitative and qualitative
techniques to obtain comprehensive insights into the subject matter.
Data were collected from organizational participants through
structured questionnaires and analyzed using correlation analysis to
assess the relationships among the study variables. The findings
reveal a significant positive relationship between accounting
information and Project decision making. The results indicate that
the availability of accurate, reliable, and understandable accounting
information enhances managers' ability to make effective decisions,
reduce uncertainty, and improve organizational outcomes.

Factors Influencing Equity Investment Performance in the Stock Market.

Qaiser Aman — Tue, 30 Jun 2026 00:00:00 +0000

This study investigates the determinants of stock investment returns on the Saudi Stock Exchange during the period 2015 to 2025, a time characterized by the implementation of Vision 2030 reforms and major global economic disruptions. Using a dataset of 200 firm-year observations, the research employs Pearson correlation analysis and Ordinary Least Squares (OLS) multiple regression to examine the impact of firm-specific factors such as price-to-earnings (P/E) ratio, dividend yield, market capitalization, and macroeconomic variables including oil prices, GDP growth, and interest rates on annual stock returns. The findings reveal that dividend yield is the most influential firm-level determinant of stock returns, whereas interest rates exert the strongest negative effect. Oil prices and GDP growth also demonstrate statistically significant positive relationships with stock returns, although their impacts are comparatively weaker. Overall, the model explains approximately 64% of the variation in stock returns, highlighting the importance of integrating both firm-specific and macroeconomic factors when analyzing stock market performance rather than considering them independently.