Volume 4, Issue 2 , December 2025
Shima Ebrahimi; Taqi Al Abdwani; Ali Al Badi; Iliya Pishghadam
Abstract
This study proposes a multilayer diagnostic paradigm for culturally attuned advertising to enhance managerial decision-making in international markets. Contemporary advertisements must balance operating globally and remaining authentic to local cultures while preventing cultural misalignment. This study ...
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This study proposes a multilayer diagnostic paradigm for culturally attuned advertising to enhance managerial decision-making in international markets. Contemporary advertisements must balance operating globally and remaining authentic to local cultures while preventing cultural misalignment. This study introduces cultuling analysis, a business-oriented tool that integrates cultural linguistics with advertising strategy to address this challenge. The study has three objectives: first, to demonstrate that cultuling analysis can serve as a diagnostic tool for international corporate communication; second, to examine global, local, and glocal advertising case studies to illustrate how cultural cues directly influence market performance; and third, to provide managers with practical guidance on employing technology-driven strategies to mitigate cultural risks, foster consumer trust, and optimize campaign outcomes. The methodology employs Hymes’ SPEAKING model, the emotioncy model, and cultural patterns to assess campaigns at three levels: micro, meso, and macro. Global, local, and glocal marketing case studies demonstrate how organizations may systematically identify and leverage cultural cues to improve customer engagement, brand trust, and market performance. The findings reconceptualize advertising as cultural engineering and a strategic instrument for achieving a competitive advantage.
Siavash Rokhsari
Abstract
The rapid economic and social transformations underway in the Gulf Cooperation Council (GCC) countries have made the development and assessment of national visions critically important for guiding sustainable futures. This study analyzes the national visions of the six GCC nations (Bahrain, Kuwait, Oman, ...
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The rapid economic and social transformations underway in the Gulf Cooperation Council (GCC) countries have made the development and assessment of national visions critically important for guiding sustainable futures. This study analyzes the national visions of the six GCC nations (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) through qualitative content analysis employing Magnitude Thinking, as an evaluative framework. Ten guiding questions were developed for each of the five layers of magnitude thinking (i.e., scale, impact, complexity, holism, and accuracy), enabling the systematic and uniform evaluation of each vision through a multidimensional approach. The findings indicate that all GCC visions aim to diversify and enhance economic sustainability; yet they vary in ambition, stakeholder involvement, responsiveness to circumstances, and evaluation and adaptation methods. The study concludes by highlighting the importance of integrating systematic evaluation tools to ensure that the national visions will lead to measurable and meaningful outcomes.
Nasrin Hajizadeh; Rouholla Bagheri; Mostafa Kazemi
Abstract
This paper focused on determining and ranking critical variables that influence the role of artificial intelligence (AI) in predicting consumer behavior in e-businesses. The statistical population consisted of 11 AI specialists in e-business, who were chosen on the basis of academic qualification, relevant ...
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This paper focused on determining and ranking critical variables that influence the role of artificial intelligence (AI) in predicting consumer behavior in e-businesses. The statistical population consisted of 11 AI specialists in e-business, who were chosen on the basis of academic qualification, relevant experience, and knowledge of AI technologies. They were supposed to be familiar with technical infrastructure, employee skills and attitudes, data accessibility, organizational culture, ethics and trust, cost and resources, implementation issues, and organizational agility. The relationship among the factors was analyzed using Interpretive Structural Modeling (ISM) and the Matrix of Cross-Impact Multiplications Applied to a Classification (MICMAC) analysis. The results of the ISM suggested that technical infrastructure and resources are the most influential ones. The MICMAC analysis divided factors into independent, dependent, linkage, and autonomous categories. The findings are believed to guide e-businesses to make the best use of AI acceptance and optimize customer behavior forecasting.
Festa Okrigwe; Olabamiji J. Onifade
Abstract
The adoption and utilization of information and communication technologies (ICTs) have reshaped the economic landscape of different economic sectors in many nations; thus, assessing the extent to which ICTs have been adopted and used in the Nigerian manufacturing sector is imperative for stakeholders ...
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The adoption and utilization of information and communication technologies (ICTs) have reshaped the economic landscape of different economic sectors in many nations; thus, assessing the extent to which ICTs have been adopted and used in the Nigerian manufacturing sector is imperative for stakeholders in the sector. Based on the survey data that was gathered among 454 manufacturing firms in different industries, the study offers an empirical insight into the actual situation of ICTs implementation in the Nigerian manufacturing industry. The results demonstrated that there were different levels of ICTs adoption, with the bigger firms showing more levels of technology integration relative to the smaller firms. Additionally, the findings determine the effect of the implementation of various ICTs solutions, such as enterprise resource planning (ERP) systems, automation technologies, and data analytics tools, on major operational measures such as production efficiency, supply chain management, and workforce productivity. The study offers implications to both manufacturers and policymakers in the sense that it is necessary to promote more ICTs innovations to improve the competitiveness and development of the industrial sector in Nigeria.
Santhosh Kumar Shrinivas; Pavithra Shetty; Juliet Sophia; Mamatha Gnanakumar
Abstract
Artificial Intelligence (AI) has changed how the financial market operates, particularly in High-Frequency Trading (HFT) and autonomous execution. While AI enhances liquidity, speed, and price discovery, it also causes new systemic vulnerabilities. This paper investigates how AI operates as a risk amplifier ...
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Artificial Intelligence (AI) has changed how the financial market operates, particularly in High-Frequency Trading (HFT) and autonomous execution. While AI enhances liquidity, speed, and price discovery, it also causes new systemic vulnerabilities. This paper investigates how AI operates as a risk amplifier in financial markets and suggests a novel conceptual framework that integrates transmission risks with governance principles. The paper connects AI-driven mechanisms with systemic outcomes. Drawing on literature, institutional reports, and historical incidents such as the Flash Crash on 6th May 2010, the study underscores important transmission risks such as feedback loops, model opacity, flash crash, algorithmic herding, and regulatory gaps. To mitigate these risks and to reap the benefits of technology, the study proposes a framework that prioritises explainability, accountability, and transparency, model diversity, layered monitoring, stress testing, flexible macroprudential supervision, and international harmonisation. By aligning with previous studies and regulatory warnings, this research contributes to academic discourse and provides practical insights for policymakers aiming to strike a balance between AI-driven efficiency and systemic stability.
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