Evaluating Project Management Information System Applications and Success Factors in Construction Industries of Emerging Economies: A DeLone and McLean Success Model Approach : A Survey Based Study

In emerging economies, there is a lack of construction infrastructure, but for socio-economic advancement, infrastructure development, and economic expansion, the construction sector plays a critical role. This sector experiences a few difficulties in running its project smoothly, which include financial deficit or delay, resource shortage, corruption, and transparency issues. Project Management Information Systems (PMIS) help decision makers in emerging economies to enhance efficiency in project management through improved information systems. The main purpose of this research is to determine the factors that lead to the success of PMIS in the construction sector, especially in emerging economies. For this purpose, a slightly modified DeLone & McLean Information System Success model (DML-INSSM) has been developed. Then, survey questionnaires were developed for all six constructs of DML-INSSM with the help of the previous literature regarding the PMIS of construction projects. Data has been collected for several months from personnel involved in construction projects who frequently use PMIS. After the collection of the data, it was evaluated by several statistical factors, like standard deviation, skewness, and kurtosis. Overall, the results demonstrate that all constructs' variability is well within the permissible range. From the survey results, it is evident that the highest positively rated constructs are information quality, user satisfaction, and system quality. After that, the reliability of the data has been examined by measuring the values of Cronbach’s alpha (CA), composite reliability (CR), and validity of the model has been verified by average variance extracted (AVE). Also, the loading factor for each factor is cross-examined against the standard values. Results indicate that the overall data have satisfied all those criteria. Finally, using the data, Hypothesis testing can be employed to develop the DML-INSSM model. From hypothesis testing, it is proven that, use construct of the DML-INSSM has a strong positive impact on the user satisfaction of the PMIS. So, the DML-INSSM has been successfully able to determine the success factor in emerging economies.