“Inventory Competition, Artificial Intelligence, and Quality Improvement Decisions in Supply Chains with Digital Marketing” by Dr. Rana Husseini Frangieh

Inventory Competition, Artificial Intelligence, and Quality Improvement Decisions in Supply Chains with Digital Marketing” is a research paper that delves into a comprehensive exploration of how various factors interconnect to influence decisions pertaining to the enhancement of product and service quality within modern supply chains. Specifically, the study focuses on the combined effects of inventory competition, the adoption of artificial intelligence (AI), and the intensity of digital marketing efforts in shaping these quality improvement decisions. By meticulously investigating the intricate relationships among these key variables, the study contributes to a deeper understanding of the dynamics at play within contemporary supply chain management.

To address this complex web of influences, the research employs a quantitative approach, involving the participation of 380 professionals actively engaged in supply chain operations. This methodology enables the collection and analysis of data that provides valuable insights into the relationships under examination. The findings of the study underscore the significance of heightened levels of inventory competition, increased integration of AI technologies, and the robust utilization of digital marketing strategies in driving initiatives aimed at elevating the quality of products and services.

 This research builds upon prior theoretical frameworks by not only conceptualizing the connections between inventory competition, AI adoption, digital marketing intensity, and quality improvement but also by empirically verifying these connections through real-world data. This validation enhances the credibility and applicability of the conclusions drawn. Consequently, the study not only contributes to theoretical advancements but also offers practical implications for professionals involved in managing supply chains. By identifying the interplay between these factors, the study provides actionable insights that can guide decision-making in pursuit of better-quality management strategies.

The outcomes emphasize the strategic imperative for organizations to find a balanced approach to managing inventory competition, AI integration, and digital marketing efforts. This balance is essential to optimize quality management strategies, ultimately leading to improved customer satisfaction and enhanced competitiveness within the market. The study’s revelations act as a reminder that quality enhancement is not a singular endeavor but rather a holistic process that requires a harmonious orchestration of various factors.

While the research offers significant contributions to the field, it acknowledges its limitations, such as the reliance on self-reported data and a specific group of respondents. This recognition underscores the need for future investigations to expand the scope of the study by considering diverse industries and geographic contexts. Such extensions would further enrich our understanding of the complex relationships identified in this research.

In summation, the study illuminates the intricate interplay among inventory competition, AI adoption, digital marketing intensity, and quality improvement decisions within the framework of contemporary supply chains. By substantiating these connections with empirical evidence, the research outlines a roadmap for effective quality management strategies that can be adopted by supply chain practitioners in the digital age.

 

For the full research paper head to the following link:

https://growingscience.com/beta/uscm/6379-inventory-competition-artificial-intelligence-and-quality-improvement-decisions-in-supply-chains-with-digital-marketing.html

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