Artificial Intelligence (AI) has emerged as a transformative force in the realm of product management, offering a theoretical framework that reshapes the journey from ideation to market penetration. This abstract provides a comprehensive overview of the theoretical underpinnings and practical applications of AI in product management, delineating its pivotal role across various stages of the product lifecycle. The ideation phase marks the inception of product development, where AI serves as a catalyst for innovation, augmenting creativity through advanced algorithms and data-driven insights. Market research and validation constitute the subsequent phase, where AI empowers product managers with sophisticated tools for analyzing consumer trends, preferences, and sentiments, thereby informing strategic decision-making processes. Prototyping represents a critical stage wherein AI facilitates rapid iteration and refinement, expediting the development cycle and enhancing product adaptability. Leveraging machine learning algorithms, product managers can swiftly iterate prototypes based on user feedback, ensuring alignment with evolving market demands. In the domain of product design, AI-driven solutions revolutionize user experience and usability, leveraging natural language processing, computer vision, and recommendation systems to personalize product interfaces and cater to diverse user preferences. Quality assurance and testing emerge as imperative phases wherein AI-driven testing strategies optimize reliability, performance, and scalability, mitigating risks associated with product failure and enhancing overall product quality. During the launch phase, AI enables product managers to orchestrate data-driven marketing strategies and optimize distribution channels, maximizing market penetration and consumer engagement. Predictive analytics, targeted advertising, and dynamic pricing algorithms optimize product launches, ensuring a competitive edge in the marketplace. In conclusion, AI permeates every facet of product management, transforming traditional paradigms and catalyzing innovation at every stage of the product lifecycle. By embracing AI's capabilities, product managers can navigate the dynamic landscape of modern markets with agility, precision, and foresight, driving sustained growth and competitive advantage. Keywords: AI, Product Management, Creativity, Ideation, Innovation
{"title":"AI AND PRODUCT MANAGEMENT: A THEORETICAL OVERVIEW FROM IDEA TO MARKET","authors":"Damilola Oluwaseun Ogundipe, Sodiq Odetunde Babatunde, Emmanuel Adeyemi Abaku","doi":"10.51594/ijmer.v6i3.965","DOIUrl":"https://doi.org/10.51594/ijmer.v6i3.965","url":null,"abstract":"Artificial Intelligence (AI) has emerged as a transformative force in the realm of product management, offering a theoretical framework that reshapes the journey from ideation to market penetration. This abstract provides a comprehensive overview of the theoretical underpinnings and practical applications of AI in product management, delineating its pivotal role across various stages of the product lifecycle. The ideation phase marks the inception of product development, where AI serves as a catalyst for innovation, augmenting creativity through advanced algorithms and data-driven insights. Market research and validation constitute the subsequent phase, where AI empowers product managers with sophisticated tools for analyzing consumer trends, preferences, and sentiments, thereby informing strategic decision-making processes. Prototyping represents a critical stage wherein AI facilitates rapid iteration and refinement, expediting the development cycle and enhancing product adaptability. Leveraging machine learning algorithms, product managers can swiftly iterate prototypes based on user feedback, ensuring alignment with evolving market demands. In the domain of product design, AI-driven solutions revolutionize user experience and usability, leveraging natural language processing, computer vision, and recommendation systems to personalize product interfaces and cater to diverse user preferences. Quality assurance and testing emerge as imperative phases wherein AI-driven testing strategies optimize reliability, performance, and scalability, mitigating risks associated with product failure and enhancing overall product quality. During the launch phase, AI enables product managers to orchestrate data-driven marketing strategies and optimize distribution channels, maximizing market penetration and consumer engagement. Predictive analytics, targeted advertising, and dynamic pricing algorithms optimize product launches, ensuring a competitive edge in the marketplace. In conclusion, AI permeates every facet of product management, transforming traditional paradigms and catalyzing innovation at every stage of the product lifecycle. By embracing AI's capabilities, product managers can navigate the dynamic landscape of modern markets with agility, precision, and foresight, driving sustained growth and competitive advantage. \u0000Keywords: AI, Product Management, Creativity, Ideation, Innovation","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"97 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140371199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the critical aspects of risk management in global supply chains, with a specific focus on vulnerabilities within shipping and logistics. The interconnected nature of today's supply chains exposes them to various risks, ranging from natural disasters and geopolitical tensions to operational challenges and cybersecurity threats. The paper outlines a comprehensive framework for risk identification, assessment, and mitigation, emphasizing the importance of proactive strategies in addressing potential disruptions. Diversification of suppliers and transportation routes, technological investments, insurance coverage, and enhanced collaboration are highlighted as key mitigation measures. Through case studies, the paper examines successful risk management practices and draws insights from failures. Additionally, it delves into emerging trends, such as technological advancements and climate change adaptation, providing a forward-looking perspective on evolving risks. The conclusion underscores the dynamic nature of global supply chain risks and advocates for continuous improvement in risk management practices to ensure resilience and sustainability. Keywords: Risk Management, Global, Supply Chains, Vulnerabilities, Shipping and Logistics.
{"title":"Risk Management in Global Supply Chains: Addressing Vulnerabilities in Shipping and Logistics","authors":"Oluwakemi Betty Arowosegbe, David Olanrewaju Olutimehin, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo","doi":"10.51594/ijmer.v6i3.962","DOIUrl":"https://doi.org/10.51594/ijmer.v6i3.962","url":null,"abstract":"This paper explores the critical aspects of risk management in global supply chains, with a specific focus on vulnerabilities within shipping and logistics. The interconnected nature of today's supply chains exposes them to various risks, ranging from natural disasters and geopolitical tensions to operational challenges and cybersecurity threats. The paper outlines a comprehensive framework for risk identification, assessment, and mitigation, emphasizing the importance of proactive strategies in addressing potential disruptions. Diversification of suppliers and transportation routes, technological investments, insurance coverage, and enhanced collaboration are highlighted as key mitigation measures. Through case studies, the paper examines successful risk management practices and draws insights from failures. Additionally, it delves into emerging trends, such as technological advancements and climate change adaptation, providing a forward-looking perspective on evolving risks. The conclusion underscores the dynamic nature of global supply chain risks and advocates for continuous improvement in risk management practices to ensure resilience and sustainability. \u0000Keywords: Risk Management, Global, Supply Chains, Vulnerabilities, Shipping and Logistics.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"28 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140373072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the delicate balance between sustainability and risk management in the shipping and logistics industry, addressing the escalating environmental concerns while ensuring operational resilience. Investigating the adoption of sustainable practices, alternative fuels, and eco-friendly technologies, the study examines regulatory frameworks and industry initiatives shaping sustainable development. Simultaneously, it delves into the risks associated with these changes, including financial, operational, and regulatory dimensions. The research also scrutinizes risk management strategies, encompassing proactive measures to mitigate environmental impact, compliance with evolving regulations, and the implementation of resilient operational frameworks. Through a comprehensive synthesis of academic literature, case studies, and industry insights, the paper contributes to understanding how sustainability efforts can align with robust risk management, offering valuable guidance for industry stakeholders, policymakers, and academics navigating the complex landscape of environmental responsibility and operational resilience in the global supply chain. Keywords: Sustainability, Risk Management, Shipping Logistics, Environmental Operational, Resilience.
{"title":"SUSTAINABILITY AND RISK MANAGEMENT IN SHIPPING AND LOGISTICS: BALANCING ENVIRONMENTAL CONCERNS WITH OPERATIONAL RESILIENCE","authors":"Oluwakemi Betty Arowosegbe, David Olanrewaju Olutimehin, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo","doi":"10.51594/ijmer.v6i3.963","DOIUrl":"https://doi.org/10.51594/ijmer.v6i3.963","url":null,"abstract":"This paper explores the delicate balance between sustainability and risk management in the shipping and logistics industry, addressing the escalating environmental concerns while ensuring operational resilience. Investigating the adoption of sustainable practices, alternative fuels, and eco-friendly technologies, the study examines regulatory frameworks and industry initiatives shaping sustainable development. Simultaneously, it delves into the risks associated with these changes, including financial, operational, and regulatory dimensions. The research also scrutinizes risk management strategies, encompassing proactive measures to mitigate environmental impact, compliance with evolving regulations, and the implementation of resilient operational frameworks. Through a comprehensive synthesis of academic literature, case studies, and industry insights, the paper contributes to understanding how sustainability efforts can align with robust risk management, offering valuable guidance for industry stakeholders, policymakers, and academics navigating the complex landscape of environmental responsibility and operational resilience in the global supply chain. \u0000Keywords: Sustainability, Risk Management, Shipping Logistics, Environmental Operational, Resilience.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"34 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140372529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment. Keywords: Technology, Supply Chain, Risk Management, Innovations, Challenges, Logistics.
{"title":"THE ROLE OF TECHNOLOGY IN SUPPLY CHAIN RISK MANAGEMENT: INNOVATIONS AND CHALLENGES IN LOGISTICS","authors":"David Olanrewaju Olutimehin, Onyeka Chrisanctus Ofodile, Irunna Ejibe, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo","doi":"10.51594/ijmer.v6i3.941","DOIUrl":"https://doi.org/10.51594/ijmer.v6i3.941","url":null,"abstract":"The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment. \u0000Keywords: Technology, Supply Chain, Risk Management, Innovations, Challenges, Logistics.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"225 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140386905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abtihal Ahmed Mohammed Al Hinai, Abdulkadir Shehu Abdulwahab, Maryam Ali Hamed Al-Mahrouqi, Shikha Mohammed Humaid Hamed Al Shukaili
This quantitative study with a sample of 375 participants from small and medium enterprises (SME) in the Ad Dakhiliyah region of Oman examines the impact of transformational and transactional leadership styles on E-commerce adoption (ECA). A multi-group (MGA) analysis was conducted to investigate the influence of demographic factors on ECA through leadership styles. Using statistical analyses via SPSS and SmartPLS 4, the study shows significant gender differences in the influence of leadership styles on ECA. In addition, comparisons were made with two other demographic factors — age and leadership position. However, caution should be exercised when generalising beyond the study's focus on the Ad Dakhiliyah region. Despite a comprehensive investigation, the age factor shows an insignificant difference in the impact of transformational and transactional leadership on ECA. This study makes an important contribution to the understanding of leadership dynamics in the digital age in Omani SMEs, highlighting the gender nuances. The integration of robust research models and statistical tools enhances methodological rigour and provides practitioners and future researchers with nuanced perspectives on leadership and technology adoption in the Ad Dakhiliyah region and in the broader context of Omani SMEs. Keywords: Leadership Style, E-commerce Adoption, Technology Adoption, Gender, SME, Oman, SmartPLS.
本定量研究以阿曼 Ad Dakhiliyah 地区中小型企业（SME）的 375 名参与者为样本，探讨了变革型和交易型领导风格对电子商务应用（ECA）的影响。研究人员进行了多组（MGA）分析，以调查人口统计因素通过领导风格对 ECA 的影响。通过使用 SPSS 和 SmartPLS 4 进行统计分析，研究表明在领导风格对 ECA 的影响方面存在显著的性别差异。此外，研究还对另外两个人口统计因素--年龄和领导职位--进行了比较。不过，在超出研究重点 Ad Dakhiliyah 地区的范围进行概括时应谨慎。尽管进行了全面调查，但年龄因素在变革型领导力和交易型领导力对非洲经济委员会的影响方面显示出不明显的差异。本研究为了解阿曼中小型企业数字时代的领导力动态做出了重要贡献，并突出了性别方面的细微差别。本研究整合了强大的研究模型和统计工具，提高了研究方法的严谨性，并为从业人员和未来的研究人员提供了有关 Ad Dakhiliyah 地区以及阿曼中小型企业领导力和技术采用的细微视角。关键词领导风格、电子商务采用、技术采用、性别、中小型企业、阿曼、SmartPLS。
{"title":"DEMYSTIFYING LEADERSHIP: A HOLISTIC ANALYSIS OF ITS ROLE, INCLUDING DEMOGRAPHIC FACTORS IN E-COMMERCE IN SMES IN AD DAKHILIYAH GOVERNORATE, OMAN","authors":"Abtihal Ahmed Mohammed Al Hinai, Abdulkadir Shehu Abdulwahab, Maryam Ali Hamed Al-Mahrouqi, Shikha Mohammed Humaid Hamed Al Shukaili","doi":"10.51594/ijmer.v6i2.838","DOIUrl":"https://doi.org/10.51594/ijmer.v6i2.838","url":null,"abstract":"This quantitative study with a sample of 375 participants from small and medium enterprises (SME) in the Ad Dakhiliyah region of Oman examines the impact of transformational and transactional leadership styles on E-commerce adoption (ECA). A multi-group (MGA) analysis was conducted to investigate the influence of demographic factors on ECA through leadership styles. Using statistical analyses via SPSS and SmartPLS 4, the study shows significant gender differences in the influence of leadership styles on ECA. In addition, comparisons were made with two other demographic factors — age and leadership position. However, caution should be exercised when generalising beyond the study's focus on the Ad Dakhiliyah region. Despite a comprehensive investigation, the age factor shows an insignificant difference in the impact of transformational and transactional leadership on ECA. This study makes an important contribution to the understanding of leadership dynamics in the digital age in Omani SMEs, highlighting the gender nuances. The integration of robust research models and statistical tools enhances methodological rigour and provides practitioners and future researchers with nuanced perspectives on leadership and technology adoption in the Ad Dakhiliyah region and in the broader context of Omani SMEs. \u0000Keywords: Leadership Style, E-commerce Adoption, Technology Adoption, Gender, SME, Oman, SmartPLS.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"39 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article examines the useful strategies that will help leaders effectively lead members of virtual work teams. Research suggests that the greatest challenges for work team leaders are in the areas of cultural awareness, clarity of group roles and the choice of communication technology. Effective leaders might better prepare their team members for success when working in virtual teams by training them in each of these three areas and by encouraging a shared understanding of cultural differences, the clear communication of member roles and expectations, and by utilizing the most appropriate communication technology based on specific team member needs. Encompassing each of these elements, The Strategic Leadership Model for Inclusive Virtual Work Teams is presented as a viable strategic approach for virtual team leaders. Keywords: Strategic Leadership, Culture, Virtual Teams.
{"title":"DEVELOPING A STRATEGIC LEADERSHIP MODEL FOR INCLUSIVE VIRTUAL WORK TEAMS: A RESPONSE TO COVID-19 AND THE CHANGING NEEDS OF THE GLOBAL WORKFORCE","authors":"Dr. Joel Baldomir","doi":"10.51594/ijmer.v6i2.818","DOIUrl":"https://doi.org/10.51594/ijmer.v6i2.818","url":null,"abstract":"This article examines the useful strategies that will help leaders effectively lead members of virtual work teams. Research suggests that the greatest challenges for work team leaders are in the areas of cultural awareness, clarity of group roles and the choice of communication technology. Effective leaders might better prepare their team members for success when working in virtual teams by training them in each of these three areas and by encouraging a shared understanding of cultural differences, the clear communication of member roles and expectations, and by utilizing the most appropriate communication technology based on specific team member needs. Encompassing each of these elements, The Strategic Leadership Model for Inclusive Virtual Work Teams is presented as a viable strategic approach for virtual team leaders. \u0000Keywords: Strategic Leadership, Culture, Virtual Teams.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"28 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Iyanuoluwa Ajiga, Ndubuisi Leonard Ndubuisi, Onyeka Franca Asuzu, Oluwaseyi Rita Owolabi, Tula Sunday Tubokirifuruar, Rhoda Adura Adeleye
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.
{"title":"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","doi":"10.51594/ijmer.v6i2.772","DOIUrl":"https://doi.org/10.51594/ijmer.v6i2.772","url":null,"abstract":"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. \u0000Keywords: AI-driven Predictive Analytics, Retail Industry, Customer Engagement Strategies, Machine Learning Algorithms, Natural Language Processing.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"32 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140457228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Favour Oluwadamilare Usman, Nsisong Louis Eyo-Udo, Emmanuel Augustine Etukudoh, Beryl Odonkor, Chidera Victoria Ibeh, Ayodeji Adegbola
In the rapidly evolving landscape of entrepreneurship, the integration of Artificial Intelligence (AI) has emerged as a transformative force, reshaping traditional business paradigms and offering unprecedented opportunities for success. This paper provides a comprehensive and critical review of AI-driven strategies employed by entrepreneurs to enhance their ventures. The review encompasses a thorough analysis of key AI applications, their impact on various aspects of entrepreneurship, and the potential benefits and challenges associated with their implementation. The first section explores the role of AI in market analysis, highlighting how advanced data analytics and predictive modelling contribute to informed decision-making and market forecasting. The discussion then extends to AI-driven innovations in product development, emphasizing the acceleration of ideation, prototyping, and customization through machine learning algorithms. Next, the paper scrutinizes the influence of AI on customer engagement and relationship management. It delves into the personalized customer experiences facilitated by chatbots, recommendation systems, and sentiment analysis, while also addressing ethical considerations surrounding data privacy and algorithmic biases. Entrepreneurial operations and efficiency gains are examined in the subsequent section, emphasizing AI's impact on supply chain management, logistics, and resource optimization. The review underscores the potential for increased productivity and cost-effectiveness through the implementation of AI-powered automation and smart systems. Despite the myriad advantages, the paper critically examines challenges such as ethical concerns, job displacement, and the digital divide. It emphasizes the need for a balanced approach that addresses the societal impact of AI adoption while fostering inclusive entrepreneurial ecosystems. In conclusion, this critical review not only provides a comprehensive overview of the current landscape of AI-driven strategies in entrepreneurship but also offers insights into the potential future developments and challenges. Entrepreneurs, policymakers, and researchers can leverage this analysis to navigate the evolving intersection of AI and entrepreneurship, fostering a sustainable and ethically sound environment for entrepreneurial success in the digital era. Keywords: Artificial Intelligence (AI), Entrepreneurship, Strategic Implementation, Innovation, Market Analysis, Predictive Modelling.
{"title":"A CRITICAL REVIEW OF AI-DRIVEN STRATEGIES FOR ENTREPRENEURIAL SUCCESS","authors":"Favour Oluwadamilare Usman, Nsisong Louis Eyo-Udo, Emmanuel Augustine Etukudoh, Beryl Odonkor, Chidera Victoria Ibeh, Ayodeji Adegbola","doi":"10.51594/ijmer.v6i1.748","DOIUrl":"https://doi.org/10.51594/ijmer.v6i1.748","url":null,"abstract":"In the rapidly evolving landscape of entrepreneurship, the integration of Artificial Intelligence (AI) has emerged as a transformative force, reshaping traditional business paradigms and offering unprecedented opportunities for success. This paper provides a comprehensive and critical review of AI-driven strategies employed by entrepreneurs to enhance their ventures. The review encompasses a thorough analysis of key AI applications, their impact on various aspects of entrepreneurship, and the potential benefits and challenges associated with their implementation. The first section explores the role of AI in market analysis, highlighting how advanced data analytics and predictive modelling contribute to informed decision-making and market forecasting. The discussion then extends to AI-driven innovations in product development, emphasizing the acceleration of ideation, prototyping, and customization through machine learning algorithms. Next, the paper scrutinizes the influence of AI on customer engagement and relationship management. It delves into the personalized customer experiences facilitated by chatbots, recommendation systems, and sentiment analysis, while also addressing ethical considerations surrounding data privacy and algorithmic biases. Entrepreneurial operations and efficiency gains are examined in the subsequent section, emphasizing AI's impact on supply chain management, logistics, and resource optimization. The review underscores the potential for increased productivity and cost-effectiveness through the implementation of AI-powered automation and smart systems. Despite the myriad advantages, the paper critically examines challenges such as ethical concerns, job displacement, and the digital divide. It emphasizes the need for a balanced approach that addresses the societal impact of AI adoption while fostering inclusive entrepreneurial ecosystems. In conclusion, this critical review not only provides a comprehensive overview of the current landscape of AI-driven strategies in entrepreneurship but also offers insights into the potential future developments and challenges. Entrepreneurs, policymakers, and researchers can leverage this analysis to navigate the evolving intersection of AI and entrepreneurship, fostering a sustainable and ethically sound environment for entrepreneurial success in the digital era. \u0000Keywords: Artificial Intelligence (AI), Entrepreneurship, Strategic Implementation, Innovation, Market Analysis, Predictive Modelling.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"132 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates how supply chain linkages and the growth of the vegetable production sector are related. The study has two mediating variables: strategic orientation and competitiveness. Research data was collected from 405 vegetable production units in Hanoi. The study uses the PLS-SEM method to test the proposed hypotheses. Research results provide solutions for developing Hanoi's vegetable supply chain linkages. Keywords: Vegetable Industry, Supply Chain Linkages, Strategic Orientation, Competitiveness, Hanoi.
{"title":"RELATIONSHIP BETWEEN SUPPLY CHAIN LINKAGES AND VEGETABLE INDUSTRY DEVELOPMENT","authors":"Tran Tuan Anh","doi":"10.51594/ijmer.v6i1.740","DOIUrl":"https://doi.org/10.51594/ijmer.v6i1.740","url":null,"abstract":"This study investigates how supply chain linkages and the growth of the vegetable production sector are related. The study has two mediating variables: strategic orientation and competitiveness. Research data was collected from 405 vegetable production units in Hanoi. The study uses the PLS-SEM method to test the proposed hypotheses. Research results provide solutions for developing Hanoi's vegetable supply chain linkages. \u0000Keywords: Vegetable Industry, Supply Chain Linkages, Strategic Orientation, Competitiveness, Hanoi.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140498679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Omamode Henry Orieno, Chioma Ann Udeh, Osato Itohan Oriekhoe, Beryl Odonkor, Ndubuisi Leonard Ndubuisi
This scholarly paper delves into the evolving landscape of innovative management strategies in contemporary organizations, focusing on the pivotal roles of leadership, organizational culture, and change management. The study's background is rooted in the dynamic interplay between these elements, which are crucial in shaping the modern business environment. The aim of the paper is to provide a comprehensive analysis of the evolution and impact of modern management practices, with a particular emphasis on how leadership styles, organizational culture, and change management strategies contribute to organizational success. The scope of the paper encompasses a detailed examination of these aspects, integrating insights from various industries and global contexts to offer a balanced perspective. The methodology employed in the study involves a systematic approach to literature synthesis, utilizing qualitative analysis frameworks to gather and interpret data from peer-reviewed articles, books, and case studies. This approach ensures a thorough understanding of the complexities and nuances of contemporary management strategies. The main findings reveal that effective leadership is increasingly characterized by adaptability, vision, and ethical decision-making. Organizational culture emerges as a critical driver of innovation and continuous improvement, while effective change management is identified as essential for navigating organizational transformations. The study also highlights the growing significance of technology in shaping management strategies, emphasizing its role in driving efficiency, innovation, and competitiveness. In conclusion, the paper recommends that modern organizations embrace dynamic, integrated, and technology-driven management approaches. It underscores the importance of fostering inclusive and collaborative cultures, leveraging technology for innovation, and implementing ethical and sustainable management practices. The study contributes valuable insights for practitioners and scholars, offering guidance for navigating the complexities of the modern business landscape. Keywords: Innovative Management, Leadership Styles, Organizational Culture, Change Management, Technology in Management, Contemporary Organizations.
{"title":"INNOVATIVE MANAGEMENT STRATEGIES IN CONTEMPORARY ORGANIZATIONS: A REVIEW: ANALYZING THE EVOLUTION AND IMPACT OF MODERN MANAGEMENT PRACTICES, WITH AN EMPHASIS ON LEADERSHIP, ORGANIZATIONAL CULTURE, AND CHANGE MANAGEMENT","authors":"Omamode Henry Orieno, Chioma Ann Udeh, Osato Itohan Oriekhoe, Beryl Odonkor, Ndubuisi Leonard Ndubuisi","doi":"10.51594/ijmer.v6i1.727","DOIUrl":"https://doi.org/10.51594/ijmer.v6i1.727","url":null,"abstract":"This scholarly paper delves into the evolving landscape of innovative management strategies in contemporary organizations, focusing on the pivotal roles of leadership, organizational culture, and change management. The study's background is rooted in the dynamic interplay between these elements, which are crucial in shaping the modern business environment. The aim of the paper is to provide a comprehensive analysis of the evolution and impact of modern management practices, with a particular emphasis on how leadership styles, organizational culture, and change management strategies contribute to organizational success. The scope of the paper encompasses a detailed examination of these aspects, integrating insights from various industries and global contexts to offer a balanced perspective. The methodology employed in the study involves a systematic approach to literature synthesis, utilizing qualitative analysis frameworks to gather and interpret data from peer-reviewed articles, books, and case studies. This approach ensures a thorough understanding of the complexities and nuances of contemporary management strategies. The main findings reveal that effective leadership is increasingly characterized by adaptability, vision, and ethical decision-making. Organizational culture emerges as a critical driver of innovation and continuous improvement, while effective change management is identified as essential for navigating organizational transformations. The study also highlights the growing significance of technology in shaping management strategies, emphasizing its role in driving efficiency, innovation, and competitiveness. In conclusion, the paper recommends that modern organizations embrace dynamic, integrated, and technology-driven management approaches. It underscores the importance of fostering inclusive and collaborative cultures, leveraging technology for innovation, and implementing ethical and sustainable management practices. The study contributes valuable insights for practitioners and scholars, offering guidance for navigating the complexities of the modern business landscape. \u0000Keywords: Innovative Management, Leadership Styles, Organizational Culture, Change Management, Technology in Management, Contemporary Organizations.","PeriodicalId":507950,"journal":{"name":"International Journal of Management & Entrepreneurship Research","volume":" May","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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