The Statistical Package for the Social Sciences version 11.0 was used to analyze the data. Descriptive statistics analysis was used to measure guests’ expectation and perception scores. Paired t-test was carried out to test the significant difference between the two means of expectations and perceptions. To explore the dimensionality of the 29-attribute scale, a factor analysis was performed. Validity and reliability of the adapted/modified scale were established. Validity tests how well an instrument that is developed measures the particular concept it is supposed to measure. Reliability of a scale on the other hand indicates the stability and consistency with which the instrument measures the concept and helps to assess the goodness of a measure ( Sekaran, 2000). To have an idea on the internal consistency among the items and on the convergent validity of the overall scale, a reliability analysis was employed. Within-scale factor analyses were used to ensure that all indicators in the scale measure the same construct. This process is known as construct validity ( Flynn et al., 1995). To test the internal consistency of each factor, a reliability analysis was employed. Based on the new factors derived from the factor analysis, a multiple regression analysis was used to identify the relative importance of the factors in predicting the overall customer satisfaction with the service quality provided by the particular business hotel.