Models Strategies And Tools For Competitive Smes
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Models, Strategies, and Tools for Competitive SMEs
In a fiercely competitive global economy, small and medium-sized enterprises (SMEs) face numerous challenges in achieving and sustaining competitiveness. From limited resources and evolving market dynamics to technological disruptions and regulatory hurdles, SMEs often struggle to navigate the complexities of modern business environments. As a result, many SMEs find themselves at a disadvantage, unable to fully capitalize on opportunities or effectively mitigate threats, thus hindering their growth and long-term viability. Models, Strategies, and Tools for Competitive SMEs offers a comprehensive solution to empower SMEs to thrive in competitive landscapes. By bringing together a wealth of expertise and insights from scholars and practitioners globally, this book serves as a valuable resource for SMEs seeking to enhance their competitiveness and unlock their full potential. Through a diverse array of topics, ranging from leadership and innovation to digital marketing and organizational climate, the book provides actionable strategies and practical tools tailored specifically to the needs of SMEs.
AI Innovations for Customer Experience Optimization in the Service Sector
The rise of digital technology and the proliferation of customer data have created fertile ground for the application of AI in the services sector. Customers expect personalized, fluid, and proactive experiences in the current era. From chatbots and virtual assistants to predictive personalization and sentiment analysis, AI allows companies to gain deeper insight into their customers' needs and preferences, enabling them to deliver more tailored and effective customer experiences. AI Innovations for Customer Experience Optimization in the Service Sector addresses the theoretical, methodological, and empirical gaps in the academic and professional literature on using AI innovation solutions to optimize marketing processes and customer experiences. It encourages more rigorous and in-depth research to catalyze innovation and excellence in AI-based customer experience management, particularly in the services sector. Covering topics such as value creation, customer journey mapping effect, and telecommunications, this book is an excellent resource for marketing specialists, customer service managers, strategy manager, consultants, technology specialists, professionals, researchers, scholars, academicians, and more.
Convergence of AI, Education, and Business for Sustainability
The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future. Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.