Digital systems have been identified to have contributed to the distributed nature of users, customers, and employee’s aspect that has led to a lack of connectedness amongst users, customers and employees. Innovation and advances in Information and Communication Technology (ICT) have led to customer use of systems that are not used by employees which is the main cause of disconnectedness between customers and employees and the major cause of lack of customer satisfaction. Total Experience (TX) has been proposed as a possible alternative for addressing challenges associated with the overall assessment of digital systems and their holistic impact on organizations' operations. There is a lack of literature and gaps on the effects of total experience in digital services. The study aimed to develop an integrated TX framework for digital services at Muscat Airport in the Sultanate of Oman. An exploratory research design was adopted using a quantitative research method. Ten independent variables were filtered and used to build an integrated TX framework. These variables were drawn from the literature on measurable factors from experience such as user experience (UX), customer experience (CX) and employee experience (EX). Purposeful sampling was used in the selection and recruitment of the respondents. The survey had 305 respondents. The data was analyzed using SPSS Version 22. A Pearson R Correlation analysis and Multiple linear regression analysis were conducted to determine close correlation of the investigated independent variables. Application of multiple linear regression was based on five main assumptions which are linearity (evidence of linear relationship), homoscedasticity, independence of errors (evidence of no auto-correlation), independence of each independent variable (Evidence of no or little multi-collinearity), and normality (evidence of multivariate normality). Evidence of multi-collinearity was conducted by determining Variance Inflation Factor (VIF) for each evaluated independent variable namely Emotions, Trust, Communication, Satisfaction, Expectation, Value, loyalty, Efficiency, Stimulation, and Novelty. A Kaiser-Meyer-Olkin (KMO) test and the Bartlett test of sphericity determined sampling adequacy. A communality analysis was also used to validate the use of Exploratory Factor Analysis (EFA). Confirmatory Factor Analysis (CFA) was conducted to confirm the summary model. The study established the ten investigated independent variables namely emotions, trust, communication, satisfaction,expectation, value, loyalty, efficiency, stimulation, and novelty can model operational efficiencies of digital services at Muscat Airport. The findings had very high reliability and validity, which made it possible to generalize the study’s integrated framework across industries and companies. The study recommends companies to use the ten independent variables to improve operational efficiencies of digital services and enhance overall experiences and organization’s operation efficiency.