Designing a Digital Business Ecosystem Model with an E-learning Approach Using Structural Equation Modeling
Subject Areas : Entrepreneurship and Innovation Ecosystems
یوسف سپهری آزاد
1
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مرتضی موسی خانی
2
,
علی داوری
3
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Keywords:
Abstract :
Given that there is a significant gap in the conceptualization of e-learning business ecosystem with e-learning approach, this paper introduces a conceptual framework of e-learning business ecosystem in the digital age by combining two concepts: digital business ecosystem and e-learning ecosystem. In order to design and explain the model of digital business ecosystem, the e-learning application has been implemented. Therefore, this research is fundamental in terms of orientation and exploratory in terms of purpose, and uses a descriptive-correlation approach to analyze the data for a quantitative stage. In this study, a conceptual model was developed by summarizing theories using library review methods, expert opinions and by reviewing studies conducted in digital businesses and e-learning (virtual education), dimensions, factors and components affecting the design of digital business ecosystem model. E-learning has been selected and extracted and the relevant indicators and the proposed conceptual model have been used to design the questionnaire. In the inferential findings and hypothesis testing section, the confirmatory factor analysis technique and the structural equation modeling technique were used. In this study, data were analyzed using SmartPLS2 software. The maximum alpha error level for testing the hypotheses was considered 0.05. As a result of the framework of the digital business ecosystem with the e-learning approach in the digital age based on dimensions and concepts: technology (infrastructure), cultural and social factors, individuals (talents), Information literacy, government and regulations, networks and interactions, stakeholders (markets and customers), environmental factors, capital, financial assistance, business factors, organizational factors, educational factors, innovation, support, evaluation are introduced.
