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Modelling and measuring attributes influencing agile implementation in an enterprise using structural equation modelling

Author

Listed:
  • Abhishek Srivastava
  • Deepti Mehrotra
  • P.K. Kapur
  • Vijay Kumar

Abstract

Today's software applications deployed in an enterprise caters to the complex business processes, integrate various business units and address requirements of global customer base. Critical characteristics of success of Agile development has to be taken into account in order to make this process of software development a rewarding one. In this paper, a significant perception is show cased for the adept to analyse and measure the specified Agile attributes using statistical analysis. A thorough analysis of 16 attributes is done in order to find vital independent factors and measure them steer the maturity of Agile employment in a business. For this purpose, a framework has been suggested which accelerates the process. An observation of the association among 16 attributes was done. With the help of Exploratory and Confirmatory Factor Analysis, a structural model was set up with affirmation using Structural Equation Modelling. These important attributes were measured and the maturity of Agile execution in a project was found with the help of Explanatory factor analysis. The 16 attributes were categorised in four latent variables: Planning, Execution, Tools and Infrastructure and People. This was done using exploratory and Confirmatory Factor Analysis. Moreover, Structural Equation Modelling was done to deduce thirteen key independent attributes that have an impact on other attributes. For the purpose of measuring these key attributes, Structural equation modelling was implemented using AMOS and it was determined that three of the attributes were working below the threshold.

Suggested Citation

  • Abhishek Srivastava & Deepti Mehrotra & P.K. Kapur & Vijay Kumar, 2022. "Modelling and measuring attributes influencing agile implementation in an enterprise using structural equation modelling," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 14(1), pages 3-22.
  • Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:3-22
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