A Proposed Strategic Planning Framework: A Case Study of Snaders Son Company (Farm Sector), and utilising an AI Agent for preparing Strategic Planning.

Abstract. This study aims to enhance the strategic field by introducing a proposed framework that considers the positive aspects of the current strategic planning framework, avoids the shortcomings of the traditional framework, and introduces additional features that do not exist in a traditional framework. This research aims to make a significant scholarly contribution by developing an alternative framework in the field of strategic planning. Through a proposed strategic planning framework, the researcher attempts to provide an innovative perspective on the strategic planning process, characterised by its flexibility in adapting to dynamic environments and its comprehensive approach, considering the vision as a reflection of the accumulated awareness process. This proposed framework aims to enhance both theoretical and practical understanding of the strategic planning process and contribute to developing advanced analytical tools to support strategic decision-making. The proposed framework consists of several interconnected and sequential processes. The first process involves identifying environmental entities that influence the company's performance as independent units or entities that interact with each other and with the company. The second process involves identifying and demonstrating the interactions that result from influences among the entities. The third process is called the situational forces analysis, which ranks the forces significantly influencing the company's growth and profitability. The fourth process is creating the vision and mission, which will lead to setting long-term objectives and selecting an appropriate strategy in light of the analysis from the previous processes. The fifth process involves determining the appropriate objectives and strategy based on the results obtained from the analysis within the proposed framework. This study addresses a critical need in today's dynamic business environment. By developing a proposed framework that integrates data-driven analysis, which is considering the dynamic interplay of influencing environment entities, and emphasises a proactive of awareness-driven vision, this research aims to contribute a more robust and adaptable approach to strategic planning. The practical implications of this proposed strategic planning framework provide valuable knowledge and information for managers and executives (top management) in selecting and implementing suitable strategies to achieve growth and profit objectives, which ultimately aim to enhance organisational performance through strategic planning processes, which consider and evaluate situational forces factors, which in turn create a vision and required missions. This Study demonstrates how this framework is inherently suitable for implementation within strategic planning software or applications, leveraging AI to facilitate the entire process. Furthermore, it will illustrate how the successful development and functionality of such an application serve as tangible proof of concept, directly addressing and achieving the core research questions, objectives, and hypotheses of this study.