This study examines the evolving landscape of Business Intelligence (BI) research and its impact on organizational decision-making through a comprehensive bibliometric analysis. Analyzing 2442 BI-related articles from the Scopus database published between 2014 and 2024, we identified key trends, influential authors, leading institutions, and significant research gaps. Despite substantial literature, our findings reveal a declining trend in BI publications and significant under-exploration in integrating BI with competitive intelligence, decision-making processes, data mining, and human resources management. The study highlights geographical disparities in research output, with the United States and China leading in publications and citations. Our analysis underscores the need for more interdisciplinary research approaches and increased collaboration among researchers and institutions to address these gaps. This study provides valuable insights for researchers and practitioners, offering direction for future research to enhance the application of BI in organizational decision-making and strategic development.

This paper discusses how to route straddle carriers in port container terminals. This problem is solved in the context of optimizing transport operations. The contribution of the work lies in the formulation and subsequent development of a Six Sigma Approach solution for the problem. Generating and prioritizing the critical Six Sigma transportation plans, however, are real challenges in practice. This study aims to develop a novel approach based on a combined ANP and DEMATEL technique to help container terminals determine critical Six Sigma transportation plans. An empirical case study is used to explore the effectiveness of the proposed approach

This paper offers a comprehensive analysis of the global economic impact of the COVID-19 pandemic, examining the diverse responses and precautionary measures adopted by nations worldwide. It also delves into the trans-formative role of artificial intelligence (AI) in health surveillance and its implications for economic dynamics. AI, a key driver of the Fourth Industrial Revolution, is undergoing rapid evolution, prompting discussions on its benefits and challenges. Despite varying perspectives, its indispensability in modern society is acknowledged, with AI poised to drive societal transformation and restore global equilibrium. The study also highlights the active engagement of Arab countries, including Bahrain, in the AI landscape.

This study explores the interplay between inflation and stock markets in Gulf Cooperation Council (GCC) countries from the 1990s to the early 21st century. Utilizing a PANEL time series model and Autoregressive Distributed Lag (ARDL) approach, we focus on the financial sector, emphasizing stock market performance. Our analysis of annual data reveals a significant, long-term impact of inflation on GCC stock markets, emphasizing a reciprocal relationship. We observe stability in this impact and identify potential variations among GCC countries. The study contributes valuable insights into the economic dynamics of the GCC region, with implications for investors, policymakers, and researchers navigating the intricate connection between inflation and stock market behavior.

The straddle carrier routing problem is solved in the context of optimising transport operations at a container terminal. The contribution of this paper lies in the formulation and subsequent development of a Six Sigma approach solution for the problem. This work aims to develop a novel method based on a combined ANP and DEMATEL techniques to help container terminals determine critical Six Sigma transportation plans. An empirical case study is used to explore the effectiveness of the proposed approach.