International Journal of Industrial Engineering, Technology & Operations Management
International Journal of Industrial Engineering, Technology & Operations Management (IJIETOM) is an academic, double-blind peer-reviewed scientific journal published 2 times a year, i.e., June and December and focused on the diffusion of articles in the field of Industrial Engineering, Technology and Operations Management. IJIETOM covers theoretical, computational, and experimental investigations of all aspects of the Industrial Engineering, Technology and Operations Management areas. Areas covers (but not limited to) Computational Intelligence in Industrial Engineering, Consumer Product Design, Engineering Economy and Cost Estimation, Facilities Design and Location, Information Systems, Artificial Intelligence, Business and Process Excellence, Construction Management, Data Analytics, Decision Sciences, Energy and Resource Efficiency, Facilities Planning and Management, Healthcare Systems, Manufacturing Applications, Human Factors and Ergonomics, Industry 4.0, Inventory Management, Knowledge Management, Lean and Six Sigma, Logistics, Transport and Traffic Management, Modeling and Simulation, Operations Research, Production Planning and Control, Quality, Reliability and Maintenance, Service Systems and Service Management, Supply Chain Management, Sustainability and Green Systems, Sustainable Manufacturing, Systems Engineering, Maintenance Engineering and Management, Materials Handling, Performance Analysis and Simulation, Production Systems Design, Planning and Control, Productivity and Business Strategies, Project Management, Technology Management and Transfer, Total Quality Management and Quality Technology, Work Measurement and Methods Engineering.
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<![CDATA[Supply Chain Risk Management: Leveraging AI for Risk Identification, Mitigation, and Resilience Planning ]]>
<![CDATA[Nwamekwe, Charles Onyeka]]>;
<![CDATA[Igbokwe , Nkemakonam Chidiebubea]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.38
<![CDATA[This study explores the critical role of Supply Chain Risk Management (SCRM) in today's interconnected and dynamic global economy, focusing on leveraging Artificial Intelligence (AI) for risk identification, mitigation, and resilience planning. As supply chains face increasing vulnerabilities due to geopolitical tensions, natural disasters, and technological disruptions, traditional risk-management approaches have proven insufficient in addressing these challenges. This paper comprehensively analyses how AI, through predictive analytics, machine learning, and autonomous systems, transforms SCRM by enabling real-time risk detection and response capabilities. The study also examines AI applications across various industries, including manufacturing, retail, and logistics, showcasing its potential in optimizing operational efficiency, enhancing supply chain visibility, and improving decision-making processes. Furthermore, the paper highlights the benefits and limitations of integrating AI with emerging technologies such as IoT and blockchain to enhance supply chain resilience. The findings contribute to understanding AI's growing impact on global supply chain management, providing insights into future trends and practical recommendations for managers seeking to strengthen their risk management strategies.]]>
<![CDATA[Cognitive and Neurolinguistic Aspects of Advertising Discourse Perception ]]>
<![CDATA[Egamberdieva, Farida]]>;
<![CDATA[Egamberdieva, Shakhzoda]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.60
<![CDATA[This study examines how cognitive and neurolinguistic mechanisms influence consumer behavior and decision-making in advertising. It explores the roles of attentional salience, memory encoding, and emotional responses in shaping how advertisements affect audiences. Attention is critical, driven by visual stimuli (e.g., colors, motion) and top-down processes based on personal goals and cultural relevance. Memory encoding is supported through repetition, rhyme, and the integration of verbal and visual cues, while emotional triggers engage the amygdala, enhancing retention. Neurolinguistic techniques, such as semantic priming, create subconscious associations between words, images, and brand values, accelerating comprehension and promoting positive perceptions. For example, luxury brands use semantic cues to suggest exclusivity, while metaphors activate sensory and cognitive areas, strengthening engagement. Additionally, advertising content is processed through hemispheric lateralization, with the left hemisphere focusing on linguistic aspects and the right hemisphere processing visuals and emotions. This study underscores the significance of incorporating these cognitive and neurolinguistic principles into advertising. Examples include Coca-Cola’s use of visual icons for universal attention, Nike’s use of memorable slogans for retention, and Dove’s emotional appeals for loyalty. Also, culturally tailored approaches, such as aligning metaphors with societal norms, enhance relevance across diverse audiences. The research suggests using neuroimaging tools, like fMRI and EEG, to identify neural correlates of engagement. It emphasizes the potential of machine learning and neuromarketing in customizing advertisements based on individual neural responses. Integrating these principles can help create emotionally and cognitively impactful campaigns.]]>
<![CDATA[Developing Students Communicative Competence using Authentic Materials with Information Technologies ]]>
<![CDATA[Yusupalieva, Shakhnoza]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.62
<![CDATA[In the globalized landscape of higher education, developing communicative competence in foreign language learners is essential for academic, social, and professional success. This article explores innovative, student-centered strategies beyond traditional grammar-based instruction to enhance linguistic proficiency, cultural understanding, and pragmatic awareness. This study highlights their impact on fostering real-world communication skills by emphasizing interactive methods such as role-playing, task-based learning, debates, and integrating authentic materials. Furthermore, the findings demonstrate that students engaging in these approaches show marked improvements in fluency, adaptability, and cultural sensitivity. Role-playing scenarios and debates enhance spoken communication, critical thinking, and argumentation skills, while task-based activities encourage collaboration and purposeful language use. Exposure to authentic resources bridges the gap between classroom learning and practical application, deepening students' comprehension of idiomatic expressions, cultural norms, and socio-linguistic nuances. Despite challenges like resource limitations and technological barriers, the study underscores the transformative potential of these methods. By addressing implementation hurdles through digital innovation and tailored pedagogy, educators can create a robust framework that prepares students for the demands of global communication. This article advocates for continued research and adaptation to refine these strategies, ensuring their effectiveness across diverse educational contexts.]]>
<![CDATA[Cognitive Linguistics Theory in Anthropocentric Paradigm ]]>
<![CDATA[Muratkhodjayeva, Feruzakhon]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.63
<![CDATA[This study examines cognitive linguistics within the framework of the anthropocentric paradigm, focusing on the dynamic interplay between language and thought. The study aims to unravel how these two elements mutually shape and influence each other, highlighting the centrality of the anthropocentric perspective in understanding cognitive processes. The research underscores the relevance of this approach in contemporary linguistics, offering valuable insights into the ways in which language not only reflects but also molds our perception of reality. Through a detailed analysis, the study explores how linguistic structures inform cognitive frameworks and how these structures, in turn, guide thought patterns. The findings demonstrate that language is a key determinant in shaping cognitive processes and influencing how individuals conceptualize and engage with the world around them. The author's scientific contribution lies in advancing linguistic theories and offering innovative perspectives on the practical applications of the anthropocentric paradigm, particularly in the domains of education and cognitive science. By focusing on the role of language in cognitive development, the research opens new avenues for future exploration and provides a critical reassessment of existing linguistic models. This work invites further inquiry into the intersection of language, thought, and cognition, contributing to a deeper understanding of the human mind and its connection to language. Ultimately, the study emphasizes the transformative potential of the anthropocentric approach in reshaping linguistic and educational methodologies.]]>
<![CDATA[Emotional Appeal as a Determinant of Effectiveness in English Advertising Texts: A Linguistic and Cognitive Analysis ]]>
<![CDATA[Sattorov, Abboskhuja]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.64
<![CDATA[This study examines the role of emotional appeal in determining the effectiveness of English advertising texts, focusing on its impact on consumer engagement and decision-making. A multidisciplinary framework incorporating linguistic, cognitive, and socio-cultural perspectives, the research seeks to uncover the mechanisms through which emotional appeals influence the perception of brand messages. A diverse corpus of advertising texts from the fashion, technology, and healthcare industries were analyzed using content analysis and discourse analysis techniques. The study focuses on linguistic devices, including metaphor, hyperbole, rhetorical questions, and emotional triggers like joy, fear, nostalgia, and aspiration. The findings reveal that emotional appeal functions as a stylistic element and a cognitive and cultural tool that enhances brand recall, loyalty, and consumer engagement. Specifically, advertisements utilizing positive emotional triggers, such as humor and joy, resonate more deeply with audiences. In contrast, negative appeals, such as fear and guilt, are more effective in prompting immediate consumer action. The study highlights the importance of aligning emotional content with linguistic precision to optimize the persuasive impact of advertising texts. These results offer valuable insights for advertisers and contribute to the fields of advertising linguistics, consumer psychology, and persuasive communication, providing practical recommendations for developing more effective, targeted advertising strategies.]]>
<![CDATA[Development of a Method to Enhance the Efficiency of Establishing VR Educational Laboratories ]]>
<![CDATA[Ikromjon, Rakhmonov]]>;
<![CDATA[Rayhona, Temirova]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 2 No. 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
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DOI: 10.62157/ijietom.v2i2.65
<![CDATA[This study investigates the development of an efficient method for establishing virtual reality (VR) educational laboratories, focusing on enhancing teaching outcomes in technical fields exemplified through English classes. The integration of VR in technical education has been proven to improve learning efficiency, with studies showing a learning rate increase of 75-90% and a knowledge acquisition speed of up to four times faster. Despite these benefits, prolonged VR exposure can result in discomforts such as dizziness, eye strain, and cognitive fatigue. This study proposes a Fibonacci-based approach to structure VR learning sessions to address these challenges. By organizing session intervals according to the Fibonacci sequence and incorporating structured breaks, this method supports optimal cognitive processing, minimizes physical discomfort, and allows for smoother transitions between the virtual and real environments. A practical experiment involving 24 students was conducted to evaluate the effectiveness of this approach. The results revealed statistically significant improvements in learning outcomes and adaptation compared to traditional continuous VR sessions, with a p-value of less than 0.05. These findings suggest that the Fibonacci-based method offers a promising solution to the challenges associated with extended VR exposure in educational settings, enabling more effective and comfortable learning experiences. This approach holds potential for broader application in various technical fields, where VR serves as a tool for enhancing educational outcomes.]]>
