A number of circular regression models have been proposed in the literature. In recent years, there is a strong interest shown on the subject of outlier detection in circular regression. An outlier detection procedure can be developed by defining a new statistic in terms of the circular residuals. In this paper, we propose a new measure which transforms the circular residuals into linear measures using a trigonometric function. We then employ the row deletion approach to identify observations that affect the measure the most, a candidate of outlier. The corresponding cut-off points and the performance of the detection procedure when applied on Down and Mardia's model are studied via simulations. For illustration, we apply the procedure on circadian data.
Studies dedicated to user's adoption, acceptance, and use of IT have been rampant since the advent of computers and IT. Therefore, it becomes essential to assess the value of IT to organizations and to understand the determinants of such value in terms of acceptance, integration, and technology use. In this regard, Enterprise Resource Planning (ERP) adoption remains challenging for professionals and practitioners alike. Previous research neglected many vital factors, such as user involvement (participation, engagement, and resilience) and environmental factors (change management, competitiveness, and pandemic pressure). Therefore, this study aims to identify the most significant factors that influence the successful adoption of ERP and propose a conceptual model. The Technology Acceptance Model with DeLone and McLean Information Success Models were the base for the study. The findings of this study reveal a conceptual model that facilitates the successful adoption of ERP systems. Through the identification of critical factors, one factor emerged as a permanent component in the adoption process. This conceptual model provides valuable insights for organizations seeking to implement and adopt ERP systems effectively. The study's findings offer valuable insights for firms pursuing long-term economic success through ERP adoption. Understanding the influencing factors enables efficient and effective deployment. Implications are relevant to organizations, ERP vendors, and decision-makers, guiding informed decision-making and prioritizing success factors.