Table of Contents 4(2)
Abstract
Journal of Business, Communication and Technology (BCT) is an open-access and fully peer-reviewed journal that publishes original research and review articles on business, communication, technology, and the relationship between them. BCT favors articles which have a sound theoretical base with visible practical applications that can be used by specialists in management, linguistics, education, computer science, marketing, business, and communication. Authors from all countries and cultures are invited to submit their research and review articles to the BCT journal.
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Abstract
Pages 1-17
https://doi.org/10.56632/bct.2025.4201
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 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.
Pages 18-34
https://doi.org/10.56632/bct.2025.4202
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, 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.
Pages 35-46
https://doi.org/10.56632/bct.2025.4203
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 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.
Pages 47-57
https://doi.org/10.56632/bct.2025.4204
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 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.
Pages 58-67
https://doi.org/10.56632/bct.2025.4205
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 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.
Articles in Press, Accepted Manuscript, Available Online from 27 December 2025
Bronson Mutanda, Bomi Cyril Nomlala
Abstract The rapid integration of fourth industrial technologies to meet the demands of the evolving financial landscape and customer needs is fundamentally transforming the financial services industry, creating both significant opportunities for innovation and substantial challenges. In light of this background, this study investigates challenges and opportunities realized by financial sector companies in the wake of the fourth industrial revolution. To achieve the objectives, a systematic literature review was conducted, with PRISMA used for document screening. The study examined 51 research articles published between 2015 and 2025 inclusive. NVivo 12 was used to identify and present key themes from the analyzed documents. A literature survey conducted revealed eight challenges brought out by digital transformation in the context of the fourth industrial revolution. Literature also revealed 12 opportunities that came as a result of the integration of fourth industrial revolution technologies into the financial sector. In light of these findings, it is prudent for the financial service industry to collaborate with training institutions and facilitate the introduction of new curricula that take note of changes in technology. In addition, firms in the financial sector need to invest in acquiring digital infrastructure as a strategy for surviving the competition brought out by the fourth industrial revolution.
Articles in Press, Accepted Manuscript, Available Online from 01 January 2026
Reza Pishghadam
Abstract Business research often emphasizes statistical measures, publication counts, and narrowly defined outcomes, which can obscure the broader effects of organizational practices and interventions. Despite methodological rigor, existing studies frequently provide limited insight into long-term, systemic, and multi-level impacts. This study introduces a research framework inspired by Magnitude Thinking, a soft-skill-based cognitive approach designed to evaluate organizational phenomena across five interrelated dimensions: scale, impact, complexity, holism, and accuracy. The framework integrates quantitative, qualitative, and mixed- methods approaches to examine business outcomes’ breadth, depth, and systemic interconnections. Building on this perspective, data are conceptualized across multiple contexts, levels, and timeframes to capture interactions between variables, cascading effects, and stakeholder perspectives. The approach allows researchers to assess immediate outcomes, enduring transformations, and cross-organizational implications. Findings suggest that applying this framework generates a more comprehensive understanding of organizational processes, producing methodologically robust, practically actionable, and strategically relevant insights. The study highlights the potential of this framework to guide evidence-based decision-making and improve the evaluation of complex business phenomena.
Articles in Press, Accepted Manuscript, Available Online from 06 February 2026
Jeremiah Iwasen Mzughulga
Abstract This study examines the improvement of customs clearance business processes for international logistics companies within the context of global supply chains. Inefficiencies in traditional customs clearance, characterized by bureaucratic delays, fragmented procedures, and limited technological integration, continue to undermine logistics performance, raise operational costs, and pose security risks. To address these challenges, the study adopts a process-oriented and technology-driven perspective grounded in Business Process Re-engineering (BPR) and Systems Thinking theory. Using document analysis, business process modelling (BPMN), and logistic regression analysis, the study compares the traditional clearance model with the proposed improved model. Findings reveal a substantial performance improvement, with clearance efficiency increasing from 40% under the traditional system to 88% under the redesigned, technology-enabled process. The results demonstrate that systematic process re-engineering combined with integrated digital technologies can significantly reduce clearance time, minimize bottlenecks, and strengthen both trade facilitation and regulatory control. The study contributes a practical and scalable model for policymakers, customs authorities, and international logistics firms seeking to enhance cross-border logistics performance in developing and emerging economies.
Volume 3, Issue 1, June 2024, Pages 54-65
https://doi.org/10.56632/bct.2024.3105
Jawad Tauheed, Aumir Shabbir, Muhammad Shahid Pervez
Abstract In the globalised world, artificial intelligence (AI) has proved to have a significant impact on digital marketing. AI has transformed the digital marketing campaign with effective planning and companies have started to adopt AI for successful digital marketing. To enrich this literature, this study explored the role of AI in digital marketing strategies. In this study, a quantitative survey was conducted in which 115 participants were recruited through a random stratified sampling technique. Pearson product moment correlation and multiple regression analysis were used for data analysis. The results showed a strong positive relationship between AI and digital marketing strategies. AI could also account for 82.4% of the variance in digital marketing strategies. A comparison with previous literature reinforced the transformative impact of AI on digital marketing. The findings contributed to a nuanced understanding of the role of AI in shaping modern marketing strategies.
Volume 2, Issue 1, June 2023, Pages 1-12
https://doi.org/10.56632/bct.2023.2101
Nasim Boustani, Taqi Al Abdwani
Abstract Vocabulary growth predicts communication ability and communication without vocabulary is impossible. The study was done among 50 EFL learners to examine the effect of music-based instruction on their vocabulary retention and attitudes. They were divided into experimental and control groups. First, a pre-test was conducted to fulfill the homogeneity assumption. Then, the photo dictionary part of the “English for Schools Prospect 1” book was set to music and the experimental group underwent music-based practices. While the control group received audio-visual instruction. Immediately after the instructions, a 20-item test was given to the groups. Subsequently, a 9-item attitude scale was distributed among the teacher, observer, and groups. After two weeks, a long-term memory test was conducted between the two groups. Results presented that the experimental group significantly outscored in the short- and long-term memory tests compared with the control group. Moreover, results from the attitude scale indicated that they welcomed music-based instruction allowing more profound vocabulary learning and communication ability than the audio-visual practices.
Volume 1, Issue 2, December 2022, Pages 13-23
https://doi.org/10.56632/bct.2022.1202
Ahmad Fawad Kakar, Kawita Sarwari
Abstract A vast body of available literature presents controversial perspectives on the role of L1 in learning and communicating an L2. The current exploratory qualitative study attempted to investigate the reported experiences of ten Afghan EFL learners regarding their L1 (Farsi Dari) role in communicating an L2 (English). The data collected through Skype interviews with ten participants were analyzed thematically. The findings indicated that both positive and negative transfers of L1 occur at different levels in L2. The emerging themes revealed that L2 is scaffolded with L1 proficiency; further, it helps generate ideas, improve self-esteem, and reduce anxiety. The findings also indicated some L1 interferences in L2 communication particularly pronunciation, grammar, and vocabulary. The current study's findings suggest that the language instructors should be aware of the language transfers, both positive and negative, to provide quality teaching to EFL learners. Further research studies can be conducted through a different research design such as quantitative or mixed-method exploring the EFL perspectives.
Volume 2, Issue 1, June 2023, Pages 13-25
https://doi.org/10.56632/bct.2023.2102
Akin Gürbüz, Mehmet Abi, Bekir Canlı
Abstract A common challenge for most students in intercultural contexts both in their academic studies and future careers is balancing speaking opportunities for talkative and less talkative students. The differences in individuals’ communication styles due to their backgrounds may lead to some concerns about intercultural competencies. In this respect, this study intends to explore the possible relationship between students' confidence in communication levels, their self-perception of English proficiency levels, and cultural styles. For this purpose, three questionnaires were carried out by the participation of 106 students at a state university. The obtained data were analyzed by conducting ANOVA tests. The findings indicated that participants have low to medium levels of English proficiency and as their language levels increase, their cultural self-awareness and cross-cultural communication levels increase as well. In addition, there is a significant relationship between their levels of confidence in communication and having outgoing personalities.
Volume 1, Issue 2, December 2022, Pages 54-66
https://doi.org/10.56632/bct.2022.1206
Elham Naji Meidani, Hossein Makiabadi, Mohammad Zabetipour, Hannaneh Abbasnejad, Aida Firoozian Pooresfehani, Shaghayegh Shayesteh
Abstract The evolutionary definition of intelligence has made it a multifaceted concept. Emo-sensory intelligence (ESQ), as integration of emotional intelligence (EQ) and sensory intelligence (SQ) is the sensitivity to the emotions evoked by sensory inputs. It puts emphasis on individuals’ ability to recognize, label, monitor, and manage sense-induced emotions to guide one’s behavior and establish emo-sensory communication. Among the studies done on different types of intelligence and effective communication, gender differences have been a recurring theme. The purpose of this study was to investigate the role of gender in emo-sensory intelligence and emo-sensory communication. To this aim, the emo-sensory intelligence scale (ESIS) was distributed to 1500 participants. The results revealed significant differences between the two genders in ESQ for visual, olfactory, and tactile senses, demonstrating the superiority of females over males. Moreover, a significant difference was found between the two genders in their ability to identify the basic emotions triggered by their senses, and use them in their communications, with females being better than males.