Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach

AbstractThe main purpose of research is to design and validate the open innovation model in the university. To achieve this goal, a sequential combined exploratory method has been used. The research methodology is the use of a mixed approach. In the qualitative stage, using the data theory of the fo...

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Main Authors: Masomeh Tajari, Adel Zahed babolan, Taghi Akbari, Mahdi Moeinikia
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2022-11-01
Series:پژوهش‌های مدیریت عمومی
Subjects:
Online Access:https://jmr.usb.ac.ir/article_7256_7303c082cff5235aaf0f43b925053959.pdf
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author Masomeh Tajari
Adel Zahed babolan
Taghi Akbari
Mahdi Moeinikia
author_facet Masomeh Tajari
Adel Zahed babolan
Taghi Akbari
Mahdi Moeinikia
author_sort Masomeh Tajari
collection DOAJ
description AbstractThe main purpose of research is to design and validate the open innovation model in the university. To achieve this goal, a sequential combined exploratory method has been used. The research methodology is the use of a mixed approach. In the qualitative stage, using the data theory of the foundation and through semi-structured interviews and interviews with ten experts and researchers of open innovation who were selected theoretically. Data were collected and using the Strauss and Corbin systematic design of open innovation components in the form of a conceptual data model of the foundation. A questionnaire and a preliminary model were designed based on the findings of the qualitative stage. After assessing the validity (Lavache) and Cronbach's alpha reliability of 0/85, a questionnaire was designed to 364 professors of mother universities using the proportional stratified sampling method. Findings show that the components of open innovation presented in the systematic design using Amos24 software The first and second order confirmatory factor analysis methods were validated Factor loads of all components are greater than 0/4 and t values ​​are greater than 1/96 The results indicate an acceptable fit for all components presented in the systematic design.IntroductionCurrently, the use of open innovation in business and academia has been introduced as a necessity. Innovative open university wants to be a stimulus for economic and social development, in which resources and knowledge exchange have expanded beyond the borders of the organization And has been introduced as one of the main actors of open innovation. The formation of the concept of open innovation ecosystem promises to play the role of universities as a stimulus and create opportunities for achieving broader results that are not possible through traditional models of university-industry interactions. The need for an open innovative university in the open innovation ecosystem follows the need for a knowledge-based economy system Because knowledge-based economy in addition to knowledge-based enterprise needs a knowledge-based university to be able to use intellectual capital in knowledge-based economy to create and increase organizational value And also be able to achieve one of its important capabilities, which is advantage and sustainable development. One of the features of knowledge-based economy is the application of knowledge and knowledge-based sectors in increasing the productivity of all economic sectors through innovation This explains the need for open innovation in universities. This article seeks to provide a model and model validation by asking the main categories of open innovation from university professors and researchers.Case study In the present study, in the qualitative section, with the interview of 10 open innovation experts to the components of the open innovation university, according to the systematic plan was formed. In the quantitative part, the number of samples was 364 university professors, among whom a textbook was distributed.Materials and methods The method of this research is mixed, which has been done according to a sequential exploratory approach. In the qualitative part, the data method of the foundation and in the quantitative part, the analysis of the first and second order confirmatory factor has been done.Discussion and Results Causal factors influencing open university innovation include: communication, needs assessment, management and leadership, empowerment, culture, human resources, government, the importance of industry-university relationship, university structure. Underlying conditions influencing academic open innovation include bedrock conditions, support conditions, and intermediary conditions. Interfering factors in academic open innovation include barriers and challenges, weaknesses and threats. Strategies and actions in open university innovation include internal strategies and external strategies. Consequences and achievements in open university innovation are at three levels: institution, university, and individual. Conclusion The components of open innovation presented in the systematic design were validated using Amos24 software and first and second order confirmatory factor analysis. Factor loads of all components are greater than 0.4 and t values ​​are greater than 96.1. These results indicate an acceptable fit for all components presented in the systematic design.
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spelling doaj.art-3197ac3a816b4fc88898d2f564145ec92023-02-17T05:41:57ZfasUniversity of Sistan and Baluchestanپژوهش‌های مدیریت عمومی2538-34182676-78802022-11-01155723526110.22111/jmr.2022.39485.55657256Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed ApproachMasomeh Tajari0Adel Zahed babolan1Taghi Akbari2Mahdi Moeinikia3PHD Student, Educational Management, Mohaghegh Ardabili university, Ardabil, IranProfessor. Educational Management, Mohaghegh Ardabili university, Ardabil, IranAssociate Professor, Educational Management, Mohaghegh Ardabili university, Ardabil, IranAssociate Professor, Distance and E-Learning Planing university, Mohaghegh Ardabili, Ardabil, IranAbstractThe main purpose of research is to design and validate the open innovation model in the university. To achieve this goal, a sequential combined exploratory method has been used. The research methodology is the use of a mixed approach. In the qualitative stage, using the data theory of the foundation and through semi-structured interviews and interviews with ten experts and researchers of open innovation who were selected theoretically. Data were collected and using the Strauss and Corbin systematic design of open innovation components in the form of a conceptual data model of the foundation. A questionnaire and a preliminary model were designed based on the findings of the qualitative stage. After assessing the validity (Lavache) and Cronbach's alpha reliability of 0/85, a questionnaire was designed to 364 professors of mother universities using the proportional stratified sampling method. Findings show that the components of open innovation presented in the systematic design using Amos24 software The first and second order confirmatory factor analysis methods were validated Factor loads of all components are greater than 0/4 and t values ​​are greater than 1/96 The results indicate an acceptable fit for all components presented in the systematic design.IntroductionCurrently, the use of open innovation in business and academia has been introduced as a necessity. Innovative open university wants to be a stimulus for economic and social development, in which resources and knowledge exchange have expanded beyond the borders of the organization And has been introduced as one of the main actors of open innovation. The formation of the concept of open innovation ecosystem promises to play the role of universities as a stimulus and create opportunities for achieving broader results that are not possible through traditional models of university-industry interactions. The need for an open innovative university in the open innovation ecosystem follows the need for a knowledge-based economy system Because knowledge-based economy in addition to knowledge-based enterprise needs a knowledge-based university to be able to use intellectual capital in knowledge-based economy to create and increase organizational value And also be able to achieve one of its important capabilities, which is advantage and sustainable development. One of the features of knowledge-based economy is the application of knowledge and knowledge-based sectors in increasing the productivity of all economic sectors through innovation This explains the need for open innovation in universities. This article seeks to provide a model and model validation by asking the main categories of open innovation from university professors and researchers.Case study In the present study, in the qualitative section, with the interview of 10 open innovation experts to the components of the open innovation university, according to the systematic plan was formed. In the quantitative part, the number of samples was 364 university professors, among whom a textbook was distributed.Materials and methods The method of this research is mixed, which has been done according to a sequential exploratory approach. In the qualitative part, the data method of the foundation and in the quantitative part, the analysis of the first and second order confirmatory factor has been done.Discussion and Results Causal factors influencing open university innovation include: communication, needs assessment, management and leadership, empowerment, culture, human resources, government, the importance of industry-university relationship, university structure. Underlying conditions influencing academic open innovation include bedrock conditions, support conditions, and intermediary conditions. Interfering factors in academic open innovation include barriers and challenges, weaknesses and threats. Strategies and actions in open university innovation include internal strategies and external strategies. Consequences and achievements in open university innovation are at three levels: institution, university, and individual. Conclusion The components of open innovation presented in the systematic design were validated using Amos24 software and first and second order confirmatory factor analysis. Factor loads of all components are greater than 0.4 and t values ​​are greater than 96.1. These results indicate an acceptable fit for all components presented in the systematic design.https://jmr.usb.ac.ir/article_7256_7303c082cff5235aaf0f43b925053959.pdf"paradigm""open innovation""university"
spellingShingle Masomeh Tajari
Adel Zahed babolan
Taghi Akbari
Mahdi Moeinikia
Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
پژوهش‌های مدیریت عمومی
"paradigm"
"open innovation"
"university"
title Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
title_full Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
title_fullStr Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
title_full_unstemmed Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
title_short Design and Validation of an Open University Model Based on the Open Innovation Paradigm: A Mixed Approach
title_sort design and validation of an open university model based on the open innovation paradigm a mixed approach
topic "paradigm"
"open innovation"
"university"
url https://jmr.usb.ac.ir/article_7256_7303c082cff5235aaf0f43b925053959.pdf
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AT taghiakbari designandvalidationofanopenuniversitymodelbasedontheopeninnovationparadigmamixedapproach
AT mahdimoeinikia designandvalidationofanopenuniversitymodelbasedontheopeninnovationparadigmamixedapproach