Importance-Performance Matrix Analysis (IPMA) of the Open and Collaborative Innovation Model on a Digital Platform
Keywords:
Open innovation, Collaborative innovation, Digital platform, IT industry, Digital transformationAbstract
The aim of this study is to analyze the Importance-Performance Matrix Analysis (IPMA) of the open and collaborative innovation model based on a digital platform. This research is exploratory in nature with regard to its objective and is classified as descriptive-analytical in terms of methodology. It was conducted through a cross-sectional survey using a mixed exploratory method that integrates qualitative (grounded theory) and quantitative (importance-performance analysis) approaches. The statistical population for the qualitative phase included managers and experts from IT industry companies in Tehran in 2023, while the quantitative phase involved an unlimited population of banking industry customers. Using purposive sampling, 14 individuals were selected for the qualitative phase, and according to Cochran’s formula, 384 individuals were selected for the quantitative phase. Semi-structured interviews were employed to identify relevant components based on the grounded theory technique. In the quantitative phase, partial least squares (PLS) analysis was used to determine relationships among variables and their respective importance coefficients, while component ranking was carried out using Importance-Performance Matrix Analysis. Based on Delphi results, a researcher-developed questionnaire was used in the quantitative part. ATLAS.ti software was utilized in the qualitative phase, and SMARTPLS software was employed for the quantitative analysis. The results indicated that causal conditions had the highest degree of importance (0.715), while contextual conditions demonstrated the highest performance score (71.363). The analysis reveals that the success of the open and collaborative innovation model on a digital platform requires simultaneous attention to strengthening causal conditions and maintaining high performance in contextual conditions. Such an approach can ensure the long-term success of this model within organizations.
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Copyright (c) 2024 Fariba Goodarzi (Author); Hossein Moinzadeh; Hossein Adab (Author)
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