Providing a model to choose the most appropriate agile method in construction projects

Abstract

The use of agile methods according to the success criteria that meet the needs of building projects will increase the efficiency of the construction industry. Most previous research has examined the effects of agility application on one of the success metrics or implementing one single agile approach, and no research has been found to select an agile method based on success criteria in construction. In this research, by creating a relationship between success criteria and agile methods and adopting a systematic approach, the appropriate technique was selected in accordance with the needs of the construction industry. This research aims to select the appropriate agile method based on the success criteria of construction projects. By conducting a thorough literature review, the long list of success criteria and most common agile methods in construction were identified. Then using the Delphi technique, the most critical criteria were extracted. Finally, employing the analytic hierarchy process (AHP) method, the most appropriate agile technique was determined and ranked. The results show that Scrum is the most adaptable agile method in the construction industry. In addition, the most critical criterion affecting the selection of agile methods was determined to be “completion of the project on time.”

Toward new data for IT and IoT project management method prediction

“…Until now, variant initiatives are conducted to study and analyze the most adapted techniques to IT or IoT projects. Pouyandeh et al [13] conducted a study that determined the multiple construction industry success criteria, and as a consequence, the latter discovered the appropriate agile method to use by merging the Delphi and AHP methodologies. This research investigates how using agile approaches influences how construction project success criteria are improved and compared.…”

Artificial intelligence for choosing an agile method

“…They collected survey data and developed three prediction models to identify significant features for predicting Scrum adoption. Pouyandeh et al [7] identified construction industry success criteria and determined the most suitable agile method using a combination of Delphi and analytic hierarchy process (AHP) methodologies. The study collected data through literature reviews and questionnaires, analyzed it using the AHP method, and prioritized agile methods and criteria for selecting the appropriate method.…”