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Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 16 Documents
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Search results for , issue "Vol 8, No 3 (2024): June" : 16 Documents clear
Innovative Technology for Managing Biofuel Production from Timber Industry Waste Evgeniy V. Kostyrin; Anna E. Machina
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-03

Abstract

The relevance of this study is determined by the growing worldwide interest in renewable energy sources against the backdrop of depleting fossil fuel reserves. This study aims to develop an innovative technology for managing biofuel production from wood waste, including a set of interrelated economic and mathematical models focused on maximizing the fuel and energy efficiency of biofuels depending on the location of waste generation, feedstock moisture content, and distance to the biofuel production site. This technology should also combine the main directions of international research in the field of environmental responsibility of countries in terms of carbon dioxide (CO2) emissions and the Paris Climate Agreement. The methodological basis of the research comprises the authors’ innovative technology based on a set of interconnected economic and mathematical models and managerial decision-making systems, methods for nonlinear programming, system analysis, an information approach to the analysis of systems, accepted technological processes, norms, and standards established in the international practice of the timber industry. This innovative technology was implemented in practice using the capabilities of the MathCad and MS Excel software products. The article determines the optimal operating parameters of timber industry enterprises at which the specific thermal energy of the produced biofuel exceeds by at least 15% the thermal energy spent on processing this biofuel as an energy carrier. Wood waste biofuel production is profitable if the distance for feedstock transportation to the production site does not exceed 80 km and the relative humidity of the raw materials does not exceed 60%. Doi: 10.28991/ESJ-2024-08-03-03 Full Text: PDF
Continuous Integration of Risk Management in a Business Process Reengineering: Towards Optimization through Machine Learning Hicham Raffak; Abdellah Lakhouili; Mohamed Mansouri
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-019

Abstract

To improve their market position and competitiveness, organizations aim to shorten production times, cut costs, and boost the quality and variety of their products. While Business Process Reengineering (BPR) is a good method to achieve these goals, implementing it can be risky: any change to a task in the initial process directly affects the final process's performance in terms of time, cost, and quality. This article, drawing on design science, a literature review, and a field study with responses from executives and managers of two companies in the aerospace and automotive sectors in Morocco to measure their satisfaction and identify their risk management needs, provides an overview of the BPR method, its implementation frameworks and methodologies, and explains the importance of risk management in such projects. It suggests an improved continuous risk management process for BPR projects that enhances the gathering and use of risk management data through machine learning. Doi: 10.28991/ESJ-2024-08-03-019 Full Text: PDF
Global Perspectives on Management Consulting Competitiveness: Analyzing Knowledge Brokers’ Components Sirin Akaraphan; Mongkolchai Wiriyapinit; Sukree Sinthupinyo
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-014

Abstract

Bridging a significant gap in knowledge broker research, this study addresses the challenges and difficulties in demystifying the roles and components of Knowledge Brokers (KBs) within the management consulting context. Despite their recognized importance, the specific functions, and components of KBs in this specific sector context, known for its intensive use of knowledge, have been unexplored. This study aims to narrow the research gap by identifying key components of KB that enable the knowledge brokerage process in management consulting. Utilizing a mixed methods approach with Structural Equation Modeling (SEM) and data collection from various geographies from global perspectives, the research offers an in-depth understanding of KBs in management consulting. The research findings confirm Interpersonal Skills and Cognitive Ability, along with sub-components like Interactive Skill, Motivational Skill, Hybrid & Anomalous, Neutrality, Professional Competence and Experiential Knowledge, as critical to KBs. The findings offer original contributions to theoretical implications by narrowing the research gaps within this specific context. On the practical front, this study provides strategic insights for organizations to significantly enhance sustainable innovation by integrating external knowledge into organizational decision-making processes, which could be extendable to other industries. Furthermore, it suggests the potential to evolve traditional knowledge brokerage into technology-driven platforms and enhance the innovation ecosystem. Finally, the research findings offer the foundations for future studies on similar professional and knowledge-intensive settings, contextual influences of KBs, and the interrelationships among KB components. Doi: 10.28991/ESJ-2024-08-03-014 Full Text: PDF
Framing Assessment Questions in the Age of Artificial Intelligence: Evidence from ChatGPT 3.5 Farooqui, Mohammad Owais; Siddiquei, Mohd Imran; Kathpal, Shashank
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-09

Abstract

With the rise of artificial intelligence (AI), higher education faces a significant challenge in learning assessment. The emergence of tools like ChatGPT raises concerns regarding the potential for cheating and the reliability of assessment outcomes. This paper aims to address these concerns by proposing a methodology for framing questions that effectively measures learning outcomes while reducing the risk of AI-enabled cheating. To achieve this objective, we employ a methodological approach that involves getting responses from ChatGPT 3.5 to various question prompts across different domains. These responses are then evaluated by faculty members specializing in management education. Through this process, we aim to identify question-framing strategies that effectively assess learning outcomes while minimizing susceptibility to AI Cheating. Our analysis reveals several key findings. Certain question Types (Decision Making, Recent Events, and Experiential Learning) demonstrate greater resilience against AI-generated responses, indicating their potential effectiveness in assessing student learning. This study offers original insights into the challenges and opportunities associated with learning assessment in the context of AI integration. The paper tries to provide valuable guidance for Policymakers, educators & students seeking to enhance the integrity and reliability of their assessment practices. Doi: 10.28991/ESJ-2024-08-03-09 Full Text: PDF
An Integrated Framework for Addressing the Challenges and Strategies of Technology Adoption: A Systematic Review Omar Ali; Peter A. Murray; Ahmad Al-Ahmad; Luay Tahat
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-025

Abstract

While the rapid growth of information technology (IT) adoption has not lessened, insufficient attention has been directed towards the major themes and sub-themes of IT adoption challenges. Consequently, this study consists of a systematic literature review of the challenges of technology adoption based on a total of 235 peer-reviewed articles from the business and management literature between 2012-2022. Our longitudinal study provides an integrated framework for matching IT challenges to organizational strategies for transforming IT practices and processes. The results of the review broaden scholarly understanding of the importance of strategic IT agility, the need to keep pace with competitive information systems and IT environments. The findings enhance understanding of the pre-change and post-change processes of IT adoption, expanding knowledge on adoption success and organizational strategies for achieving IT strategic agility. Three key contributions include closing gaps not explored in comparative studies, adopting a unified approach with an integrated research model, and strategies to enhance an organization's absorptive IT capacity and agility. Doi: 10.28991/ESJ-2024-08-03-025 Full Text: PDF
Mobile Device Forensics Framework: A Toolbox to Support and Enhance This Process Bruno M. V. Bernardo; Henrique S. Mamede; João M. P. Barroso; Vítor M. P. D. dos Santos
Emerging Science Journal Vol 8, No 3 (2024): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-03-011

Abstract

Cybercrime is growing rapidly, and it is increasingly important to use advanced tools to combat it and support investigations. One of the battlefronts is the forensic investigation of mobile devices to analyze their misuse and recover information. Mobile devices present numerous challenges, including a rapidly changing environment, increasing diversity, and integration with the cloud/IoT. Therefore, it is essential to have a secure and reliable toolbox that allows an investigator to thwart, discover, and solve all problems related to mobile forensics while deciphering investigations, whether criminal, civil, corporate, or other. In this work, we propose an original and innovative instantiation of a structure in a forensic toolbox for mobile devices, corresponding to a set of different applications, methods, and best practice information aimed at improving and perfecting the investigative process of a digital investigator. To ensure scientific support for the construction of the toolbox, the Design Science Research (DSR) methodology was applied, which seeks to create new and unique artifacts, drawing on the strength and knowledge of science and context. The toolbox will help the forensic investigator overcome some of the challenges related to mobile devices, namely the lack of guidance, documentation, knowledge, and the ability to keep up with the fast-paced environment that characterizes the mobile industry and market. Doi: 10.28991/ESJ-2024-08-03-011 Full Text: PDF

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