Iranian Research Organisation for Science and Technology Journal of Technology Development Management 2008-5060 10 4 2023 02 20 Investigating product innovation model components and complex systems in the virtual power plant industry using content analysis Investigating product innovation model components and complex systems in the virtual power plant industry using content analysis 133 160 1321 10.22104/jtdm.2023.5693.3037 FA Farid Kabir Islamic Azad University.South Tehran Branch.Faculty of Management and Accounting Manouchehr Manteghi Faculty member of Malek Ashtar University 0000-0003-1839-0994 Mohammad Naghizadeh Allameh Tabataba'i University 0000-0002-6951-4523 Journal Article 2022 09 20 A virtual power plant is a new concept. Its central concept is based on distributed generators connected to each other and monitored through a control unit using the structure of information and communication technology. This study aims to identify the components of product innovation for the virtual power plant industry. The data collection tool was an interview, and the data analysis method was thematic analysis (TA). The sample size for the study was selected based on theoretical sampling and saturation, and eventually, it was attained via interviews with 12 experts. Interview analysis uncovered 77 fundamental conceptual codes. These are analyzed in later stages and, by their conceptual abstraction, the primary themes and central themes that make up the components, the research model is formed. The three main themes identified in the data were hub capability, network structure, and network coordination. The hub capability, network coordination, and network structure include four, seven, and four components, respectively. A virtual power plant is a new concept. Its central concept is based on distributed generators connected to each other and monitored through a control unit using the structure of information and communication technology. This study aims to identify the components of product innovation for the virtual power plant industry. The data collection tool was an interview, and the data analysis method was thematic analysis (TA). The sample size for the study was selected based on theoretical sampling and saturation, and eventually, it was attained via interviews with 12 experts. Interview analysis uncovered 77 fundamental conceptual codes. These are analyzed in later stages and, by their conceptual abstraction, the primary themes and central themes that make up the components, the research model is formed. The three main themes identified in the data were hub capability, network structure, and network coordination. The hub capability, network coordination, and network structure include four, seven, and four components, respectively. https://jtdm.irost.ir/article_1321_f9be311e65d81a9ad8150a60844bb94c.pdf