The study examines the transition from traditional supply chain management (SCM) to green supply chain management (GSCM) in manufacturing firms, emphasizing the role of resource-based characteristics. It highlights the increasing global sustainability risks and the push towards sustainable industrial practices, driven by the United Nations' Sustainable Development Goals. The research identifies key components of GSCM, such as internal environmental management, green purchasing, and eco-design, and explores the barriers and positive outcomes associated with GSCM adoption. The study proposes a comprehensive framework for measuring GSCM and underscores the importance of top management commitment and green procurement in facilitating this transition.

The study focuses on short-term wind power forecasting using stacked and bidirectional LSTM techniques. It highlights the importance of accurate wind power predictions for optimizing resource utilization in the energy sector. The research compares LSTM models with other machine learning techniques, demonstrating that LSTM models, particularly stacked and bidirectional variants, offer superior performance in terms of accuracy and efficiency. The study uses data from wind farms in Europe and emphasizes the need for continuous improvement in datasets and techniques for better forecasting models. Future work includes integrating attention mechanisms and exploring other neural network architectures like GRUs.

The Global Healthspan Summit 2023 focused on bridging the gap between healthspan and lifespan, with contributions from a diverse group of participants, including academics, industry experts, and representatives from health and aging-related organizations. The report acknowledges the knowledge and insights shared by summit participants, speakers, and panelists, listing individuals from various institutions and companies who contributed to the discussions.

Recent advances in AI, machine learning, IoT, big data, and predictive analytics are driving the rise of the intelligent enterprise, creating new opportunities and challenges for COOs. The transition from manual to self-running enterprises necessitates a digital change management strategy focusing on digital leadership, mindset, governance, and skills development. SAP's Intelligent Cloud ERP, particularly SAP S/4HANA Cloud, is central to this transformation, enabling human-machine collaboration and optimizing business processes. The evolving workforce, especially with the influx of millennials and contingent workers, further underscores the need for effective human capital management in the digital age.

Exponential technologies like AI, machine learning, predictive analytics, IoT, and robotic process automation are driving organizations towards self-running enterprises. Business leaders must assess their current phase and develop digital change initiatives to achieve their objectives. The Intelligent Enterprise, powered by next-generation ERP systems like SAP S/4HANA Cloud, integrates various technologies to automate tasks and provide value-adding experiences. Human capital management is evolving with the rise of millennials and the gig economy, while AI and automation are reshaping job roles to prioritize human-machine collaboration. Successful digital change management requires digital leadership, a digital mindset, digital governance, and continuous skill development.

Millennials are set to dominate the global workforce, necessitating significant changes in talent management and workplace practices. Companies must adapt to the preferences of this tech-savvy generation, which values flexible working hours and development opportunities over traditional hierarchies and monetary rewards. The rise of the gig economy and contingent workforce is reshaping recruitment and talent management strategies. In Africa, the challenge is compounded by a lack of STEM skills and an underperforming education system. Public-private initiatives like Africa Code Week are crucial for equipping the future workforce. COOs play a vital role in establishing the digital infrastructure needed to manage a diverse and agile workforce, leveraging data and analytics to drive productivity and innovation.

COOs and supply chain management are under pressure from an accelerating business environment and increasing customer demands. Companies are digitising their supply chains using cloud-based platforms, big data, predictive analytics, and machine learning to optimize processes and improve efficiency. Accenture predicts significant market growth for SaaS in supply chain management. Studies show that digital supply chain leaders see substantial improvements in product availability, response times, and operating margins. The adoption of sensor technology and automation is enhancing decision-making accuracy. However, the transition to digital supply chains requires managing digital transformation while innovating business models. Despite the benefits, a Forrester survey indicates low current adoption rates of big data analytics among supply chain professionals.

Technology increasingly dominates our lives, contributing to distractions and potential mental health issues. However, tech solutions like mindfulness apps and the Slow Living movement offer ways to counteract these effects. Biblio.life, an online bibliotherapy service, provides personalized literary prescriptions, promoting mental well-being through reading. The service connects users with librarians and counselors, fostering a supportive community. Studies show significant stress reduction from reading, and the platform allows for anonymous, empathetic interactions. Julia Webb, a volunteer curator, shares her positive experiences with the service, highlighting its impact on readers.