The Balanced Scorecard remains one of the most influential management frameworks for linking strategy, operations, and performance measurement. Developed to move organizations beyond narrow financial accounting, it proposed a broader view based on four perspectives: financial performance, customer outcomes, internal processes, and learning and growth. In the current period, however, the framework is being used in a new environment shaped by artificial intelligence, data-rich

This article examines Tuckman’s model of team development in the context of contemporary organizations shaped by digital coordination, hybrid work, platform management, and the rapid rise of agentic artificial intelligence. Tuckman’s framework, first developed around the stages of Forming, Storming, Norming, and Performing, and later extended with Adjourning, remains one of the most widely used models in leadership and management education. Its enduring appeal comes from its

The 4Ps of marketing—Product, Price, Place, and Promotion—remain one of the most durable frameworks in business education and managerial practice. For decades, the model has helped firms organize market strategy, communicate value, and coordinate operational decisions. Yet the rapid rise of artificial intelligence, especially agentic AI systems capable of semi-autonomous analysis and action, is reshaping the conditions under which the 4Ps are designed and executed. This artic

Porter’s Five Forces remains one of the most widely taught models in business and management because it offers a clear framework for understanding how competition works inside an industry. It examines rivalry among existing firms, the threat of new entrants, the bargaining power of suppliers, the bargaining power of buyers, and the threat of substitutes. Yet the business environment of 2026 is not the same environment in which the model first gained influence. Firms now compe

One of the most discussed technology developments in April 2026 is the rapid move from general generative AI tools toward “agentic AI,” meaning systems that do not only produce text or images but can also plan tasks, coordinate actions, use tools, and support decision processes across workflows. Recent business and travel reporting suggests that organizations are no longer asking only whether AI can help with content creation; they are asking whether AI agents can reshape ope

Artificial intelligence has moved into a new phase. Earlier waves of generative AI were mainly used for drafting text, summarizing information, and supporting human decision-making through conversation. A newer wave, often described as agentic AI, is different. It does not only generate outputs after a prompt. It can plan, sequence tasks, use tools, retrieve information, monitor progress, and act with partial autonomy under defined goals. This shift matters for management bec

Author:  L. Verma Affiliation:  Independent Researcher Abstract “Agentic AI” (systems that can plan, decide, and execute multi-step tasks with limited human prompting) is quickly moving from technology demos into real sector operations—especially in travel and hospitality, where booking, pricing, staffing, disruption management, and guest service are already data-rich and workflow-driven. This article explains why agentic AI is a sectoral  phenomenon: its value and risks depe

Author:  Temir Saparov — Affiliation:  Independent Researcher Abstract Agentic artificial intelligence (AI)—software systems capable of...

Author:  Daniyar Abdurakhmanov — Affiliation:  Independent Researcher Abstract Agentic artificial intelligence (AI)—autonomous software...

Author:  Azamat Karimov — Affiliation:  Independent Researcher Abstract Agentic Artificial Intelligence (AI)—autonomous systems capable...