Even though entrepreneurial firms make substantial contributions to both domestic and global economies and innovations, there is disagreement in the literature regarding how open innovation affects these firms' ability to succeed. The current research is an attempt to address the gaps by analyzing the intricacies and dynamics of entrepreneurial firms’ involvement in Open Innovation. Furthermore, the impact on performance is examined from a knowledge perspective. In Jordanian context, this study analyzed the link between stakeholder interactions, knowledge management, open innovation, and the performance of entrepreneurial firms. The findings demonstrated that open innovation activities are statistically significant to the overall performance of entrepreneurial firms. However, since it has an unintentional detrimental effect over the performance of entrepreneurial firms in Jordan, the moderating effect of stakeholder relations and the mediation effect of knowledge management has been analyzed. The moderating role of stakeholder relationships has been proven statistically which enriched the theoretical foundations of RBV and contingency theory by adding stakeholders’ theory into the combination of the two theories, at the end limitations and guidelines for future research along with practical implications are emphasized.

Open innovation has been identified as two dimensions, the flow of knowledge obtained from outside and processed within the organization and has a role as a key business responsiveness to prevent any risks that will be faced. From this knowledge flow is a successful approach to new product development featuring outbound and inbound knowledge that is managed with the aim of getting out of the bounds of risk. Therefore, this study investigates and explains the clausal relationship between the variables used, such as inbound and outbound open innovation, product innovation, marketing innovation, firm performance, and environmental turbulence as moderating variables. This study uses a quantitative approach and designs a questionnaire that has been distributed to 115 SMEs owner / managers as a sample. In the process of formal data collection, a random sample was used in this study which was distributed to the owner / manager of SMEs. While the processing, analysis, and hypothesis testing process of this study uses PLS-SEM which is a statistical tool for applying all data scales, does not require many assumptions, and confirms relationships. The findings in this study indicate that what has a positive and significant effect is the relationship of inbound open innovation to product innovation, product innovation to marketing innovation, marketing innovation to firm performance. In addition, the moderating effect of environmental turbulence in a positive way is only product innovation on firm performance. Further explanation of the implications of the findings has been discussed and confirmed.

Since today’s world is moving ahead rapidly, the condition for the survival and durability of insti-tutions and organizations depend on research, development, innovation, and communication, the realization of which requires the presence of a new and creative model. Therefore, this paper aims to formulate and explain an open successful innovation management model by seeking the factors affecting the diffusion of innovation model at sports federations. The study in term of goal is ap-plied and in term of data analysis method is descriptive correlational study. The statistical popula-tion consists of sports federations of Iran in 2017. The sample size was 70 individuals selected us-ing Morgan table and the simple random sampling method from 10 federations. The research col-lection data tool was a questionnaire. The correlation matrix was used to determine the relationships between independent and dependent variables. Furthermore, a novel hybrid technique of fuzzy DEMATEL and fuzzy ANP was used to rank the factors affecting open innovation. The results showed that structural factors, interorganizational joint venture, customer relationships, research and development department, and new technologies affected the open innovation. Moreover, struc-tural factors were ranked the most effective factors. Then, customer relationships and interorganiza-tional joint venture were known as the weakest factors affecting the creation of open innovation.

The aim of this study is to examine the impact of Big Data on strategic foresight in the presence of open innovation as a (mediating variable) in the companies of the therapeutic industry and the medical supplies sector in Amman the capital city of Jordan. Out of the (121) companies making up the total of such companies, the study focused on (18) industrial companies that had more than (100) employees in total, however only (11) of those have consented to take part in the study. The study population consisted of (271) employees occupying different jobs (general manager, deputy general manager, unit manager, department manager). Due to the limited size of the population, the entire number of employees were included as participants using the comprehensive survey technique, and the number of returned and validated questionnaires for analysis were (259), representing (95.5%) of the total. In order to determine the study problem, pilot structured interviews were used in a sample of the mentioned companies. The questionnaire was employed as the key tool to measure the study variables through data collection, and the descriptive and inferential statistics methods were used to analyze the collected data, through calculations of the arithmetic mean, standard deviation, t-test and half-segmentation, exploratory and confirmatory factor analysis and the structured equation model using SMART PLS3 for hypothesis testing. The study culminated in several results, the most important of which was evidence that open innovation played a partial mediating role in the relationship between big data and strategic foresight in the companies of the therapeutic industries and medical supplies sector. Accordingly, a set of recommendations were put forward, the most important of which is to increase investment in big data in the companies due to its importance in foreseeing the future. As well as applying open innovation practices and strengthening strategic foresight practices due to its important role in avoiding extensive losses and seizing new opportunities. Highlighting the need to pay attention to open innovation practices that generate ideas and help to have strategic foresight.

The term innovation which is about the novelty on products, processes, services, technologies, on strategies or organizational structures is important for companies to stay in the competition and run their businesses well to gain both financial and organizational achievements. By the changing and globalizing world, innovation may require some interaction and cooperation which is called open innovation. In this research, five factors including brainstorming, feedback, benchmarking, open-minded mentality and relationship with supply chain elements triggering open innovation are investigated and ranked by one of the multi-criteria decision making models called ELECTRE III according to two criteria of inbound and outbound innovations.

Open innovation has become one of the hottest topics in innovation management. In this study, after reviewing the relevant literature, a conceptual framework is designed. This framework has been tested and proved in a field study in the Iranian power industry. Gathered data has been processed by Exploratory Factor Analysis in SPSS software. The results of this research shows that Iranian electricity generating companies use four approaches including Selling out and Leakage of technology, Acquisition of Technology, Acquisition of Firms and Projects, and Spin offs and Divestment, in their open innovation processes respectively.

This paper presents a study to investigate the effects of open innovation factors on supply chain behavior in Iranian gas industry. The study uses two questionnaires, one to measure the effects of open innovation factors developed by Chesbrough (2003) [Chesbrough, H. W. (2003). Open innovation: The new imperative for creating and profiting from technology. Harvard Business Press.] and the other to measure the effects of supply chain behavior. Using Pearson correlation ratio as well as Stepwise regression model, the study has determined a positive and meaningful relationship between open innovation and supply chain behavior. In our survey, while intellectual property management and networking had no impact on supply chain behavior, three variables of research and development, cooperation and entrepreneurship influence positively on supply chain behavior.