Innovation management

Special attention to the relative advantages of the economy is the best way toward economic development in every country. Owing to its considerable natural oil and gas resources, Iran has a high potential for the development of these industries. In the value chain process of these God-given resources, a wide diversity of final downstream petrochemical products has a significant charm and scope for technological innovation and development. In the absence of a systematic perspective, all the planning and costs in this field will fail. Therefore, the purpose of this study is to design and analyze the dynamic model of technological innovation management in petrochemical downstream industries in Iran. A questionnaire was designed by analyzing the research literature and the opinions of the experts; then, the factors were investigated using verification factor analysis and structural equations with Smart PLS; the final 26 indicators were categorized in four domains including firm, industry, national, and international. Next, using system thinking and Vensim PLE 6.4, the technology innovation management structure was designed in the downstream industries. The behavior of key variables was also predicted for a 7-year time horizon. Finally, it was used to formulate the technology innovation management scenario.

Since a major part of Iran petrochemical base products has been considered for export, it is essential and inevitable to consider international markets so as to examine the economic conditions of petrochemical development projects. The aim of the current work is to offer appropriate solutions to the facing challenges and to the development of innovation management model in the petrochemical companies producing polyethylene products and approaching new polyethylene goods. Data collection was conducted using the library and field studies; after taking these steps, 58 main indicators were considered by experts’ through screening among 130 extracted indices. Based on these indicators, a final questionnaire was designed by Likert scale and distributed. Finally, after receiving the comments of 105 managers and experts in 5 different petrochemical companies producing polyethylene on these indicators, the data were collected, and the research model was fitted using a structural equation and Smart PLS software. After fitting, 29 indices, 2 factors, and 6 dimensions were accepted for designing the model. The general dimension was composed of economic, organizational, regulatory, and supervision factors, while the specific dimension was formed of technological, technical, marketing, and systemic factors. According to the research conducted for successful innovation management, considering all the above-mentioned points is necessary in petrochemical companies producing polyethylene products. <strong><em> </em></strong>

Information and communication technology (ICT) has provided a platform for the supply of innovative products and services. Therefore, the innovation ecosystem of communication technology (CT) has more searchable aspects separated from information technology (IT). This research aimed to provide insights into the state-of-the-art innovation ecosystem of the communication technology industry and suggests attitudes for future research. In this article, by review of more than 40 articles and chapters about the innovation ecosystem, the analysis has utilized data-driven tools, 173 questionnaires, and 20 specialized interviews with experts. The extracted factors of the research were analyzed using SPSS and AMOS software, and the research model was analyzed using the Adaptive Neuro-Fuzzy Inference System (ANFIS) in MATLAB software. The results show that the financial and economic factor has the most impact and the national and regional factor has the least importance in the innovation ecosystem model. The financial and economic factor is significantly different from other factors in terms of degree of importance.