In this study, we aim to investigate the factors influencing the successful implementation of business analytics in the healthcare sector in MENA countries. To achieve this objective, we have developed a theoretical model that incorporates various organizational, technological, human, and external factors that may impact the adoption and utilization of business analytics in healthcare. This theoretical model serves as a framework for understanding the complex dynamics involved in implementing business analytics in the healthcare context.
1.1. Theoretical Model Development
The theoretical model developed in this study is based on a comprehensive review of the existing literature on business analytics adoption in healthcare (Saleh et al., 2009). We have synthesized and integrated key concepts and variables from previous studies to create a model that captures the multifaceted nature of the implementation process. The model includes variables such as organizational culture, leadership support, resources availability, technological infrastructure, data quality, data literacy, change readiness, regulatory environment, and industry collaboration.
By developing this theoretical model, we aim to provide a structured framework for analyzing the factors that influence the successful implementation of business analytics in the healthcare sector. This model will guide our data collection, analysis, and interpretation, enabling us to gain a deeper understanding of the challenges and opportunities associated with adopting business analytics in MENA healthcare.
The healthcare industry is increasingly recognizing the potential of business analytics to improve decision-making, enhance operational efficiency, and drive innovation. Several studies have explored the adoption and implementation of business analytics in healthcare settings, shedding light on the challenges and opportunities associated with this emerging field. However, there is a notable gap in research when it comes to understanding the specific factors and challenges that impede the successful adoption of business analytics in the healthcare sector within the Middle East and North Africa (MENA) region. While there have been studies conducted on the adoption of business analytics in healthcare in the MENA region, they often focus on broader challenges or do not provide a comprehensive understanding of the barriers specific to the healthcare sector (Shahbaz et al., 2020;Alkraiji et al., 2013; Ward et al., 2014). This study aims to fill this gap by providing a detailed analysis of the factors and challenges specific to the healthcare sector in MENA countries, thereby contributing to the existing literature on business analytics adoption in healthcare.
The MENA region presents a unique context for the adoption of business analytics in healthcare, characterized by diverse healthcare systems, cultural norms, and technological infrastructures. Despite the potential benefits, the adoption of business analytics in this region face various barriers, including resistance to change, lack of data standards, and limited technological readiness. Understanding these challenges and identifying strategies to overcome them is crucial for healthcare organizations and policymakers in the MENA region to fully leverage the potential of business analytics.
Therefore, the aim of this research is to investigate the factors and challenges that impede the successful implementation of business analytics in the healthcare sector within the MENA region. The objectives of this study are threefold: (1) to identify the specific factors and challenges that hinder the adoption of business analytics in healthcare, (2) to assess the technological readiness of the healthcare sector in the MENA region to adopt business analytics, and (3) to recommend strategies that managers and policymakers can implement to overcome the identified barriers. (4) To develop a framework as a theoretical model for implementing business analytics .
This research has both theoretical and practical implications. Theoretically, it contributes to the existing literature by filling the gap in research on the adoption of business analytics in the MENA healthcare context. By identifying the factors and challenges specific to this region, this study enhances our understanding of the complexities and nuances associated with the adoption of business analytics in diverse healthcare settings. Practically, the findings of this research will provide valuable insights for healthcare organizations and policymakers in the MENA region, enabling them to develop effective strategies for the successful implementation of business analytics. By addressing the identified barriers, healthcare organizations can enhance their decision-making processes, improve operational efficiency, and ultimately deliver better healthcare outcomes for patients.