VOLUME 13, ISSUE 11
IMPACT FACTOR 4.428
1) Can AI Improve Health and Wellbeing?
Author Details: I-P Efthymiou-Lecturer University of Greenwich, London, UK
Corresponding Author- Dr Iris-Panagiota Efthymiou Lecturer University of Greenwich, London, UK. Member of the Academic Board ot the Laboratory of Health Economics and Management, University of Piraeus, Greece.
Abstract:
Artificial intelligence (AI) is rapidly transforming several sectors. Particularly in healthcare, where its ability to improve health and wellbeing is becoming increasingly evident. This article delves into the many ways AI can contribute to enhancements in health and wellbeing. By thoroughly examining recent advancements and applications, we explore AI’s role in predictive analytics, personalized medicine, medical imaging, mental health support, and public health management. AI algorithms, capable of handling large amounts of data, allow for early disease detection and precise diagnosis, leading to improved patient outcomes. Personalized treatment plans, based on AI analysis of genetic, lifestyle, and environmental factors, provide more effective and tailored healthcare solutions. In medical imaging, AI improves the accuracy and speed of interpreting complex images, aiding in the early identification of conditions like cancer. AI-powered chatbots and virtual therapists serve as accessible mental health support tools, offering timely interventions and reducing the stigma associated with seeking help. Additionally, AI’s ability to analyse epidemiological data supports public health initiatives by predicting disease outbreaks and optimizing resource allocation. Despite these promising advancements, challenges such as data privacy, algorithmic bias, and the need for strong regulatory frameworks persist. This article emphasizes the importance of addressing these issues to fully utilize AI’s potential in healthcare. By examining current evidence and future possibilities, we aim to provide a nuanced understanding of how AI can be used to enhance health and wellbeing, ultimately leading to more efficient, fair, and accessible healthcare systems
Keywords: Artificial Intelligence, Healthcare, Wellbeing, Medical Innovation, Patient Outcomes. Health Technology
[Download Full Paper] [Page 01-05]
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2) The Importance of Soft Skills in Healthcare: The Impact of Communication, Empathy, and Teamwork on Doctor-Nurse Interactions
Author’s Details: Dr Iris-Panagiota Efthymiou
Lecturer, University of Greenwich, London UK, Researcher, Laboratory of Health Economics and Management, University of Piraeus, Greece
Abstract:
In the healthcare industry, the collaboration of different professionals is essential, and effective communication, empathy, and teamwork are crucial. This study explores the significant impact of soft skills on improving doctor-nurse interactions and their effect on patient care and clinical outcomes. It showcases how clear communication, empathy, and collaborative teamwork can reduce medical errors, improve patient satisfaction, and foster a supportive work environment. The findings emphasize the importance of cultivating these soft skills in order to enhance healthcare delivery and sustain cohesive and efficient healthcare teams. Therefore, the effectiveness of doctor-nurse interactions in healthcare heavily depends on strong communication, empathy, and teamwork skills. The results indicate that nurturing these soft skills is vital for enhancing healthcare delivery and maintaining cohesive and efficient healthcare teams. Hence, the effectiveness of doctor-nurse interactions in healthcare relies significantly on strong communication, empathy, and teamwork skills.
Key Words: Soft skills, Healthcare, Communication, Empathy, Teamwork, Doctor-nurse interactions, Patient care
[Download Full Paper] [Page 06-11]
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3) Packaging Corporation of America – A Strategic Analysis 2023
Author’s Details:(1) Michael Horty-CUNY School of Professional Studies (2) Herbert Sherman-Long Island University – Brooklyn Campus
Abstract:
Packaging Corporation of America (PCA) was formed in 1959 as part of a merger between Central Fiber Products Company, the American Box Board Company, and the Ohio Boxboard Company (PCA, 2023a). Throughout the years, PCA has expanded through organic growth and numerous acquisitions to become one of the largest manufacturing companies in multiple industries, all centered on the production of paper-based products (Ibid). Specifically, PCA’s most significant footprints are in two industries: Paper Mills in the US (NAICS 32212) with a 23.7% market share, and Paperboard Mills in the US (NAICS 32213) with a 13% market share (Irigoyen, 2023; Le, 2023). Both industries source from similar suppliers but produce different products for different buyers.
In 1999, Chicago-based private equity firm Madison Dearborn Partners, LLC, reformed Packaging Corporation of America, intending to make it a public company. As planned, PCA became a publicly traded company in 2000 on the New York Stock Exchange (NYSE) under the ticker symbol “PKG” (PCA, 2023a). The capital infusion spurred many new acquisitions and allowed PCA to expand quickly (Ibid). In 2009, PCA celebrated its 50th anniversary. In 2022, PCA was included in Forbes magazine as one of the “World’s Best Employers.” PCA was one of only 24 US manufacturing companies on the list (Ibid).
Key Words: Packaging Corporation of America (PCA),
[Download Full Paper] [Page 12-29]
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4) JellyCat 2023 –A Strategic Analysis
Author’s Details: Maryla Markiewicz-Italiano Bros. Enterprise Herbert Sherman-Long Island University – Brooklyn Campus
Abstract:
The authors conducted a secondary case analysis of JellyCat in 2023, a renowned British company specializing in creating high-quality, cuddly soft toys. This study includes background information on the firm including its mission, vision and objectives, its commitment to social responsibility and sustainability, as well as its business strategy. The investigation of the firm is then broken down into two major sections: an external environmental analysis (includes a PLEST and Porter Five Forces Analysis) and an internal analysis (includes a VIRO, value chain and functional analysis). These analyses are then amalgamated through a SWOT analysis and transferred onto the Grand Strategy Matrix (a strategy portfolio technique) which leads to suggestions for the firm relative to aligning its current strategy with market trends.
Keywords: JellyCat, Strategic Analysis
[Download Full Paper] [Page 30-51]
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5) Artificial Intelligence Adoption and Market Growth Rate of Deposit Money Banks in Nigeria
Author’s Details: Omoniyi Alabi, ADEOSUN (PhD) 1 -An Associate Professor, Department of AccountingOmoniyi Jacob, ENIOLA (PhD) 2 An – An Associate Professor, Department of Accounting Dr John Ayodele ADEKANMBI (PhD) 3 A Senior Lecturer, Department of Accounting
Department of Accounting, School of Management Sciences, College of Social & Management Sciences, Bamidele Olumilua University of Education, Science and Technology, Ikere- Ekiti, Ekiti – State.
Abstract:
Artificial intelligence in the banking sector in Nigeria is just emerging and the awareness level is generally extremely low. This is not unconnected to the huge amount involved in investing in Artificial Intelligence in banking sub sector to solve analytic and customer automation problems that helps in ensuring smooth transactions and seamless service delivery in the bank irrespective of the level of educated and uneducated customers of the banks. This research aims to investigate the relationship between AI adoption and market growth in Nigerian Deposit Money Banks (DMBs). This study employed ex-post facto research design. The population for this study included all deposit money banks operating in Nigeria. The study used deposit money banks that are vast in ICT and has considerably investment in the use of AI as the target population which includes; Access bank, Zenith bank, First bank of Nigeria, Guaranty trust bank, Eco bank, Fidelity bank, Sterling bank and Union Bank. Through the analysis of secondary data from annual financial statements of DMBs that are advanced in AI usage, several significant insights emerged. The adoption of AI has proven to be a game-changer for DMBs in Nigeria, particularly in enhancing cost effectiveness and improved profitability. AI-driven technologies such as automation, machine learning, and predictive analytics have significantly reduced operational costs, improved decision-making, and facilitated fraud detection, all of which have contributed to enhanced profitability. It is recommended that Deposit money banks (DMBs) in Nigeria should prioritize increased investment in AI infrastructure and talent development. Developing in-house AI expertise will allow banks to implement AI-driven solutions tailored to their unique needs that will enhance operational efficiency and long-term growth.
Keywords: Artificial Intelligence, Revenue Growth, Research and Development, Firm Performance
[Download Full Paper] [Page 52-65]
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