bluuebunny/crossref_metadata_2025_split huggingface dataset:
ADVANCED ANALYTICS IN SUPPLY CHAIN RESILIENCE: A COMPARATIVE REVIEW OF AFRICAN AND USA PRACTICES
Authors: Rhoda Adura Adeleye  , Oluwaseun Peter Oyeyemi  , Onyeka Franca Asuzu  , Kehinde Feranmi Awonuga  , Binaebi Gloria Bello  
Published: February 2024

This paper explores the application of advanced analytics in enhancing supply chain resilience, offering a comparative review between African and USA practices. Supply chain resilience has become a critical factor in the global business landscape, particularly in the face of unprecedented disruptions and uncertainties. As organizations strive to mitigate risks and improve responsiveness, advanced analytics emerges as a powerful tool in achieving these objectives. The study begins by providing a comprehensive overview of the key components of supply chain resilience and the role advanced analytics plays in fortifying these components. It delves into various analytical techniques, such as predictive modeling, machine learning, and data visualization, and their application in predicting and mitigating disruptions. By harnessing the power of big data, organizations can gain insights into demand patterns, supply chain vulnerabilities, and potential risks, enabling proactive decision-making. A comparative analysis is conducted between African and USA supply chain practices, recognizing the unique challenges and opportunities each region presents. Africa, with its diverse economies and infrastructural constraints, faces distinct challenges in achieving supply chain resilience. The study investigates how African organizations leverage advanced analytics to overcome these challenges and identifies best practices. Similarly, the analysis explores how USA practices utilize advanced analytics to bolster supply chain resilience, drawing parallels and distinctions with the African context. The paper also discusses the implications of these findings for policymakers, businesses, and academia. Understanding the effectiveness of advanced analytics in different supply chain contexts can inform the development of tailored strategies for enhancing resilience. The study contributes to the existing body of knowledge by shedding light on the state of advanced analytics adoption in the supply chain domain in these regions and by providing insights that can guide future research and practical implementations. This paper provides a glimpse into the dynamic landscape of supply chain resilience, showcasing the pivotal role advanced analytics plays in fortifying global supply chains. The comparative review of African and USA practices offers a nuanced understanding of the challenges and opportunities these regions face, contributing valuable insights for practitioners and researchers alike.
Keywords: Analytics, Supply Chain, USA, Africa, Review.
AI-DRIVEN PREDICTIVE ANALYTICS IN RETAIL: A REVIEW OF EMERGING TRENDS AND CUSTOMER ENGAGEMENT STRATEGIES
Authors: David Iyanuoluwa Ajiga  , Ndubuisi Leonard Ndubuisi  , Onyeka Franca Asuzu  , Oluwaseyi Rita Owolabi  , Tula Sunday Tubokirifuruar  , Rhoda Adura Adeleye  
Published: February 2024

As the retail landscape undergoes a profound transformation in the era of digitalization, the integration of Artificial Intelligence (AI) and predictive analytics has emerged as a pivotal force reshaping the industry. This paper provides a comprehensive review of the latest trends in AI-driven predictive analytics within the retail sector and explores innovative customer engagement strategies that leverage these advanced technologies. The review begins by elucidating the foundational concepts of AI and predictive analytics, highlighting their synergistic role in forecasting consumer behavior, demand patterns, and market trends. The paper then delves into the emerging trends, such as machine learning algorithms, natural language processing, and computer vision, that are revolutionizing the way retailers harness data for strategic decision-making. In addition to outlining technological advancements, the paper emphasizes the crucial role of data quality and ethical considerations in the implementation of AI-driven predictive analytics. It examines the challenges associated with privacy concerns, algorithmic bias, and the need for transparent AI models to ensure responsible and fair use of customer data. Furthermore, the paper explores a spectrum of customer engagement strategies enabled by AI-driven predictive analytics. From personalized shopping experiences and targeted marketing campaigns to dynamic pricing and inventory optimization, retailers are deploying innovative approaches to enhance customer satisfaction and loyalty. The review also discusses case studies of successful AI implementations in leading retail enterprises, showcasing tangible benefits such as improved operational efficiency, increased sales, and enhanced customer retention. These real-world examples illustrate the transformative impact of AI-driven predictive analytics on diverse aspects of the retail value chain. By examining emerging trends and customer engagement strategies, it serves as a valuable resource for industry professionals, researchers, and policymakers seeking to navigate the evolving landscape of AI in the retail sector.
Keywords: AI-driven Predictive Analytics, Retail Industry, Customer Engagement Strategies, Machine Learning Algorithms, Natural Language Processing.
REVIEWING THE ETHICAL IMPLICATIONS OF AI IN DECISION MAKING PROCESSES
Authors: Femi Osasona  , Olukunle Oladipupo Amoo  , Akoh Atadoga  , Temitayo Oluwaseun Abrahams  , Oluwatoyin Ajoke Farayola  , Benjamin Samson Ayinla  
Published: February 2024

Artificial Intelligence (AI) has rapidly become an integral part of decision-making processes across various industries, revolutionizing the way choices are made. This Review delves into the ethical considerations associated with the use of AI in decision-making, exploring the implications of algorithms, automation, and machine learning. The incorporation of AI in decision-making introduces a myriad of ethical concerns that demand careful scrutiny. The opacity of algorithms raises questions about transparency, accountability, and bias. Decision-making processes driven by AI can be complex and difficult to interpret, leading to challenges in understanding how and why specific choices are made. As a result, ethical concerns emerge regarding the potential lack of transparency and accountability, especially when these decisions impact individuals or societal groups. Bias in AI algorithms poses a critical ethical challenge. Machine learning models learn from historical data, and if that data is biased, the AI system may perpetuate and even exacerbate existing biases. Addressing this challenge requires meticulous examination of training data, algorithmic design, and ongoing monitoring to ensure fairness and mitigate discrimination. The increased reliance on AI in decision-making processes also raises concerns about accountability and responsibility. When AI systems make decisions, determining who is ultimately responsible for those decisions becomes a complex ethical issue. Establishing a framework for accountability is crucial to ensure that individuals, organizations, and developers share responsibility for the outcomes of AI-driven decisions. Moreover, ethical considerations extend to the broader societal impact of AI in decision-making. Issues such as job displacement, economic inequality, and the potential concentration of power in the hands of a few require careful ethical examination. Striking a balance between technological advancement and social responsibility is paramount to ensuring that AI benefits society as a whole. In conclusion, this review highlights the ethical implications of integrating AI into decision-making processes. It underscores the need for transparency, fairness, and accountability to address concerns related to bias, responsibility, and the broader societal impact of AI-driven decisions. Ethical frameworks must evolve alongside technological advancements to foster a responsible and equitable integration of AI in decision-making processes.
Keywords: Ethical, Implications, AI, Decision Making, Process.
THE ROLE OF GOVERNMENT POLICY IN FOSTERING ENTREPRENEURSHIP: A USA AND AFRICA REVIEW
Authors: Adeola Olusola Ajayi-Nifise  , Sunday Tubokirifuruar Tula  , Onyeka Franca Asuzu  , Noluthando Zamanjomane Mhlongo  , Funmilola Olatundun Olatoye  , Chidera Victoria Ibeh  
Published: February 2024

This Review explores the crucial role of government policies in fostering entrepreneurship by examining the experiences of the United States (USA) and various African nations. Entrepreneurship is a driving force for economic growth, job creation, and innovation, and government policies play a pivotal role in shaping the entrepreneurial landscape. In the USA, a robust history of entrepreneurial success is attributed in part to supportive government policies. The Review delves into specific policies that have contributed to fostering entrepreneurship, including tax incentives, access to funding through Small Business Administration (SBA) programs, and initiatives promoting innovation and research. The analysis extends to the regulatory environment, emphasizing the importance of flexible regulations that encourage innovation while ensuring consumer protection. Turning attention to Africa, the Review explores the diversity of government approaches across the continent. It considers initiatives implemented by African nations to promote entrepreneurship, such as the establishment of entrepreneurial ecosystems, funding mechanisms for startups, and efforts to streamline regulatory frameworks. The review acknowledges the unique challenges faced by African entrepreneurs, including limited access to capital and infrastructure constraints, and evaluates how government policies aim to address these issues. The comparative analysis highlights lessons that African nations can draw from the USA's successful policies, such as the importance of fostering a culture of innovation, providing targeted financial support, and creating an enabling regulatory environment. Moreover, it emphasizes the need for context-specific policies that consider the unique socio-economic conditions of each African nation. In conclusion, the Review underscores the critical role of government policy in nurturing entrepreneurship, drawing insights from the USA's experience and the varied approaches across African nations. It calls for a nuanced understanding of the diverse African entrepreneurial landscape and encourages policymakers to tailor initiatives that catalyze entrepreneurship, driving economic development across the continent.
Keywords: Role, Government, Policy, Fostering, Entrepreneurship.
UNLOCKING THE POTENTIAL OF INNOVATIVE HR PRACTICES FOR SUPERIOR ORGANIZATIONAL PERFORMANCE: A TRANSFORMATIVE CASE STUDY OF SMES IN OMAN
Authors: Dr. Mohammed Kutpudeen  , Dr. Muhammad Tahir  
Published: February 2024

As the business landscape in Oman continues to evolve, it is becoming increasingly clear that innovative HR practices will play a key role in determining the success of SMEs. In the coming years, we can expect to see a growing emphasis on HR practices that prioritize employee empowerment, engagement, and development. It will be interesting to explore how such practices will impact organizational performance in the SME sector of Oman. A quantitative research approach was adopted to achieve this, and data was collected using a structured survey questionnaire. The survey received responses from 383 randomly selected proprietors across all regions of the Sultanate of Oman. The data collected from the questionnaires was used to evaluate the participants' feedback on different innovative HR practices and their impact on organizational performance. The findings from the data collected showed that there is a positive and significant effect of innovative HR practices on organizational performance in terms of recruitment & and selection, learning & and development, performance appraisal and employee commitment. It is concluded that Innovative HR practices are vital in every SME in Oman.
Keywords: Human Resource, SMEs, Recruitment, Selection, Learning, Development, Reward, Appraisal, Involvement.
EFFECT OF MACROECONOMIC DYNAMICS ON STOCK MARKET RETURN VOLATILITY IN NIGERIA: ARDL APPROACH
Authors: Andrew E.O. Erhijakpor  , Diebogheneruo Honour  
Published: February 2024

The study looked at how macroeconomic factors influenced stock market return volatility in Nigeria. To achieve this goal, macroeconomic dynamics were proxied with Money Supply (MS), Interest Rate (INTR), Exchange Rate (EXCHR), Inflation Rate (INFLR), and Real Gross Domestic Product Growth Rate (RGDPGR), while stock market (SMKT) return volatility was proxied by All Share Index Volatility (ASIV). The information was gathered from the CBN Statistical Bulletin from 1985 to 2021. It was then analysed using Descriptive Statistics, Unit Root Test, and Autoregressive Distributive Lag (ARDL) analysis. The data demonstrated that MS has a positive inconsequential influence on ASIV in the short run but a positive consequential impact on ASIV in the long run, as shown by p-values (0.0588 and 0.0534) in the short and long runs, respectively; INTR has a negative impact on ASIV in both the short and long runs. It has p-values of 0.4590 and 0.0473, indicating no statistical significance in the short run but a substantial effect in the long run; EXCHR has a negative, insignificant impact on ASIV in both the short and long term. Its p-values (0.3071 and 0.3046) are also more than the 5% level of significance; INFLR has a detrimental impact on ASIV both short and long term. It has p-values of 0.1258 and 0.1374, indicating that there is no statistical significance in the short and long runs, and that RGDPGR has a positive impact on ASIV in both the short and long runs. It exhibits p-values of 0.5314 and 0.5293, indicating no statistical significance in the short and long term. As a result, it was determined that macroeconomic dynamics have no significant impact on SMKT return volatility in Nigeria. This means that politicians and regulators must ensure that the money supply and exchange rates remains steady overall. They should also endeavour to curb inflationary trends and keep interest rates constant in the economy so that the SMKT can perform better and achieve the desired economic growth and national development.
Keywords: Macro, Economic, Dynamics, Stock, Market, Return and Volatility.
COMPARATIVE ANALYSIS OF WORKFORCE EFFICIENCY, CUSTOMER ENGAGEMENT, AND RISK MANAGEMENT STRATEGIES: LESSONS FROM NIGERIA AND THE USA
Authors: Zainab Efe Egieya  , Anwuli Nkemchor Obiki-Osafiele  , Uneku Ikwue  , Nsisong Louis Eyo-Udo  , Chibuike Daraojimba  
Published: February 2024

This comparative analysis explores the nuanced dynamics of workforce efficiency, customer engagement, and risk management strategies in the distinct business landscapes of Nigeria and the USA. The study delves into the cultural, economic, and regulatory factors that shape these strategies, shedding light on the lessons that can be gleaned from the divergent approaches adopted by organizations in these two nations. Workforce efficiency is a critical element in organizational success, and this study examines how cultural influences, educational systems, and labor market dynamics impact the productivity of employees in Nigeria and the USA. The analysis considers factors such as work ethic, training programs, and technology adoption to draw insights into optimizing workforce efficiency in diverse contexts. Customer engagement strategies play a pivotal role in business sustainability, and this research investigates how cultural preferences, communication styles, and market expectations influence customer interactions in Nigeria and the USA. It explores the effectiveness of personalized approaches, digital platforms, and customer feedback mechanisms, aiming to identify cross-cultural best practices that can enhance customer engagement strategies globally. Risk management is an ever-present concern for organizations, and this study scrutinizes the regulatory frameworks, economic conditions, and risk tolerance levels that shape risk management strategies in Nigeria and the USA. By comparing approaches to compliance, financial risk mitigation, and crisis response, the research aims to distill universal principles applicable across borders. As the analysis unfolds, it unveils valuable lessons for businesses seeking to operate efficiently, engage customers effectively, and manage risks adeptly in diverse international environments. By juxtaposing the experiences of Nigeria and the USA, this comparative study provides actionable insights for organizations navigating the intricate intersection of cultural nuances and business imperatives on the global stage .
Keywords: Workforce, Customer, Management, USA, Nigeria, Review.
ENTREPRENEURIAL ECOSYSTEMS IN THE USA: A COMPARATIVE REVIEW WITH EUROPEAN MODELS
Authors: Sunday Tubokirifuruar Tula  , Onyeka Chrisanctus Ofodile  , Chinwe Chinzo Okoye  , Adeola Olushola Ajayi Nifise  , Olubusola Odeyemi  
Published: February 2024

This Review provides a concise overview of a comparative review exploring entrepreneurial ecosystems in the United States and their counterparts in Europe. The examination seeks to identify key characteristics, strengths, and challenges within these ecosystems, shedding light on the factors influencing entrepreneurship on both sides of the Atlantic. The entrepreneurial landscape in the United States has long been considered a global benchmark, characterized by a dynamic ecosystem that nurtures innovation, risk-taking, and venture capital. This review engages in a comparative analysis, juxtaposing the American entrepreneurial ecosystem with models prevalent in Europe. It delves into the structural elements, support mechanisms, and cultural factors that shape and differentiate these ecosystems. In the USA, a robust ecosystem is marked by a convergence of factors such as world-class universities, a prolific venture capital landscape, and a culture that embraces risk and failure as integral to the entrepreneurial journey. The review scrutinizes how these elements contribute to the rapid formation and scaling of startups, fostering a culture of innovation and resilience. Contrastingly, European entrepreneurial ecosystems exhibit a diverse range of models influenced by regional variations in culture, regulatory environments, and historical contexts. The analysis probes into the strengths and challenges inherent in these ecosystems, exploring how they navigate issues such as access to capital, risk aversion, and the balance between innovation and regulatory frameworks. The comparative review aims to distill insights that can inform policymakers, entrepreneurs, and stakeholders on both sides of the Atlantic. By understanding the nuances of each ecosystem, the goal is to identify transferable best practices, foster cross-cultural collaborations, and contribute to the evolution of more resilient and globally competitive entrepreneurial environments. In summary, this review illuminates the distinct characteristics of entrepreneurial ecosystems in the USA and Europe, offering a comparative lens to understand the intricacies that drive innovation and economic growth. As the global landscape continues to evolve, this review serves as a valuable resource for shaping policies, fostering collaboration, and advancing the collective understanding of what propels successful entrepreneurship in diverse and dynamic contexts.
Keywords: Entrepreneurial, Ecosystem, European, Models, Policies.
Olaparib (Lynparza)
Authors: CADTH  
Published: February 2024

CADTH recommends that Lynparza, in combination with abiraterone and prednisone or prednisolone, should be reimbursed by public drug plans for the treatment of patients with metastatic castration-resistant prostate cancer (mCRPC) if certain conditions are met.
Lynparza should only be covered to treat patients with mCRPC who have BRCA mutations, who have not been treated with an androgen receptor pathway inhibitor (ARPi), who have not been treated with a poly-(ADP ribose) polymerase (PARP) inhibitor for mCRPC, and who have not been treated with a CYP-17 inhibitor for mCRPC for more than 4 months. Also, the patients should be in relatively good health.
Lynparza, in combination with abiraterone and prednisone or prednisolone, should only be reimbursed if it is prescribed by a clinician with expertise in treating prostate cancer with systemic anticancer therapy and if the costs of both Lynparza and abiraterone are reduced.
Reviewer Acknowledgements for Journal of Biology and Life Scienc, Vol. 15, No. 1
Authors: Lee Kelvin 
Published: February 2024

Journal of Biology and Life Science (JBLS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether JBLS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 15, Number 1Bratko Filipic, CIETO, SloveniaHomyra Tasnim, Louisiana State University, BangladeshHui Xiang, Allergan, Inc., USANatalia Tkachuk, T.H. Shevchenko National University “Chernihiv Colehium”, UkraineRagab A. El-Mergawi, National Research Centre, EgyptXusniddin Boymurodov, Samarkand Institute of Veterinary Medicine, Uzbekistan Kelvin LeeEditorial AssistantJournal of Biology and Life Science-------------------------------------------Macrothink Institute5348 Vegas Dr.#825Las Vegas, Nevada 89108United StatesTel: 1-702-953-1852 ext.510Fax: 1-702-420-2900E-mail 1: jbls@macrothink.orgE-mail 2: jbls@macrothink.comURL: http://jbls.macrothink.org
Reviewer Acknowledgements for Journal of Education and Training, Vol. 11, No. 1
Authors: Wang Dora 
Published: February 2024

Journal of Education and Training (JET) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether JET publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 11, Number 1 A. F. Elgamal, Mansoura University, EgyptAntonella Nuzzaci, University of L'Aquila, ItalyBryan Spiegelberg, Rider University, USAJohn Cowan, Edinburgh Napier University, ScotlandJukdao Potisaen, Rajabhat Mahasarakham University, ThailandLazarus Ndiku Makewa, University of Eastern AfricaBaraton, KenyaMontasser Mohamed AbdelWahab Mahmoud, Imam Abdulrahman bin Faisal University, Saudi ArabiaRania Elsayed Ibrahim, National Authority for Remote Sensing and Space Sciences, Egypt Dora WangEditorial AssistantJournal of Education and TrainingMacrothink Institute-----------------------------------------5348 Vegas Dr.#825Las VegasNevada 89108United StatesPhone: 1-702-953-1852 ext.534E-mail 1: jet@macrothink.orgE-mail 2: jet@macrothink.comWebsite: http://jet.macrothink.org