https://publish.thescienceinsight.com/index.php/msbd/issue/feed 2024-06-30T09:04:59+00:00 Iqra Javed manager@thescienceinsight.com Open Journal Systems <div id="bannerR"> <h2>Why to publish in MSBD?</h2> <p><em>Management Science and Business Decisions</em> (ISSN 2767-6528; eISSN 2767-3316) is an international journal devoted to advancing the theory and practice of management sciences and business decision-making. It encourages deploying new decision-making techniques to objectively solve old and new problems currently being faced by managers and organizations in different industries and economies. Both positive and negative results are welcomed, provided they have been obtained from scientific methods. New and innovative ideas that have the potential to create a debate are particularly welcomed. The journal seeks to foster exchange between young and seasoned scholars and between scholars and practitioners with a view to aid decision-makers and policy-makers in creating a better world for our future generations. MSBD is an open access double-blind peer-reviewed fast journal that does not charge any fee from the authors. MSBD is published by <a href="https://thescienceinsight.com/">Science Insight</a> (USA) bi-annually.</p> </div> https://publish.thescienceinsight.com/index.php/msbd/article/view/87 2024-05-23T14:46:12+00:00 Euclides Lourenco Chuma euclides.chuma@ieee.org Angela Maria Alves amalves@cti.gov.br Gabriel Gomes de Oliveira oliveiragomesgabriel@ieee.org

<p>This work presents a comparative analysis between the responses generated by ChatGPT 3.5 (January 2023 version) and ChatGPT 4 (January 2024 version) in response to a set of questions about business. It serves as an update to the previously published work titled "Generative AI for Business Decision-Making: A Case Study with ChatGPT" by the authors, which utilized ChatGPT 3.5 in January 2023. The same methodology and questions from the previous work were applied, but this time using ChatGPT 4 in its January 2024 version. This approach allows us to offer insights into the evolution of the ChatGPT tool for business decision-making. Therefore, this work can be seen as a continuation of the previous work by the authors and will also serve as a basis for future comparative studies. The responses generated by ChatGPT 4 proved to be more detailed and organized compared to those generated by ChatGPT 3.5. However, in some questions, ChatGPT 3.5 provided answers regarding certain possibilities that were not emphasized in ChatGPT 4. Furthermore, ChatGPT 4's responses contained more up-to-date content. In all the cases analyzed, ChatGPT 4 remained an asset in the decision-making process, providing a comprehensive overview of the topics. However, it's essential to emphasize that ChatGPT 4 does not substitute for a business decision-making expert.</p> <p> </p>

2024-06-30T00:00:00+00:00 Copyright (c) 2024 Science Insight https://publish.thescienceinsight.com/index.php/msbd/article/view/94 2024-06-09T02:30:36+00:00 Obidah Godwin Titus snogga2003@gmail.com Umar Ali Umar umaraliumar@yahoo.co.uk Ayodeji Nathaniel Oyedeji oyedejiayodeji@yahoo.com

<p>This research explores the effects of fuel subsidy removal on small-scale businesses in Nigeria, a critical sector in the nation’s economic landscape. The study contributes to existing knowledge by focusing on the relationship between subsidy removal and its impact on small-scale industries. A comprehensive literature review considers climate change impacts, socio-economic and environmental externalities, and the historical context of fuel subsidies. While previous studies have investigated macro and micro consequences, this research examines the repercussions on small-scale businesses. Utilising a descriptive research design and a Likert-structured questionnaire, the study investigates the ramifications of recent fuel subsidy removal in a typical community in the country. Key factors, including changes in sales, operational costs, and profit margins, are analysed using descriptive statistical methods and the Chi-square test. The findings highlight the interconnectedness between government policies and the health of small-scale businesses, emphasising the need for evidence-based decision-making to support resilience in adapting to policy changes.</p> <p> </p>

2024-06-30T00:00:00+00:00 Copyright (c) 2024 Science Insight