Designing New Strategic Reference Points for Elucidating Lock-In Marketing Strategy Using Thematic Analysis

Market strategy design involves the analysis of market position, identification of market opportunities, and understanding the strengths and weaknesses of an organization. It aims to create favorable competitive conditions by defining different market segments. In recent years, researchers have made efforts to develop models that can effectively determine ideal marketing strategies and promote their alignment and synergy at the organizational level. This study aims to design a comprehensive marketing strategy development and alignment model, which has been relatively understudied in academic research. The conceptual model and new strategic reference point of this article has been Elucidating for the first time using thematic analysis and the concepts of the delta model. The present research builds upon the Strategic Reference Points (SRP, S) theory and utilizes thematic analysis to formulate a new framework and strategic reference points for an industry-specific marketing strategy. It also addresses the coordination between marketing strategies at both the business and corporate levels, employing the Delta model. In this research, based on the theme analysis methodology, new strategic reference points have been identified, which will be suitable for the power plant industry. A thematic network analysis was conducted based on interviews with industry experts. The research findings identified key dimensions of strategic reference points and provided theoretical and operational definitions of the power industry concept. These dimensions, namely "customer engagement" and "switching costs," were incorporated into the final model design. Leveraging the Delta model, the study resulted in the formulation of the Lock-in marketing strategy model. The research findings and the proposed model offer valuable insights and practical strategies to overcome current industry challenges, enhance agility, and facilitate effective decision-making in the field.