فصلنامه رشد فناوری
پیاپی 63 (تابستان 1399)

Given the expanding online communication bandwidth and the importance of using enterprise portals and the attention to information management in online business based organizations in order to increase productivity and competitive power, effective and efficient use of organizational information portals is essential. To this end, the purpose of this research is to identify and establish a relationship by using structural-interpretive modeling between the functions of an organization's information portal to increase productivity in the online business space. This research is applied in terms of purpose and descriptive in nature. For this purpose, in the first step, the dimensions of the model constituting the theoretical literature and interviewing experts including professors and specialists in the field (management and IT) were identified. In the next step, in order to establish the relationship between the dimensions and the model presentation, structural-interpretive modeling method was used. In this method, the research model was presented based on expert opinions and analysis. The research results illustrate the process of acquiring knowledge management through other identified functions of organizational information portals in the workspace, showing that communication with professionals leads to three dimensions of faster and more structured access to information as well as collaboration that will create integrated information. Finally, his knowledge management is formed through integrated information. Overall, the research showed that using enterprise information portals and optimizing its applications at the company level can be achieved one of the most important components in the management of online business companies that is knowledge management.

Internet of Things (IoT) as an emerging technology in the field of Information and Communication Technology is the next revolution related to the Internet application. IoT focuses on the communication of things such as sensors, drivers, devices, etc., with the potential to collect data and control or communicate remotely rather than focusing on the communication of people. Applying intelligence solutions and new technologies of IoT in agriculture can pave the way to a new paradigm of farming called “Smart Agriculture” by making fundamental change in all aspects of current practices. IoT-based Smart Agriculture can improve agricultural productivity with more food production through the optimal utilization of the resources, minimizing environmental impacts, reducing the costs, and increasing the incomes with linking to the business market that facilitates sustainable agricultural development. IoT-based data is a collection of large data called “Big Data” that cannot be processed and managed by traditional databases and conventional management tools. IoT and Big Data technologies are interconnected and it can be predicted that the future of optimal agriculture in the world would not be possible to meet the food demand and sustainability of production without these technologies and Smart Agriculture. This article introduces IoT and Big Data technologies, as well as their relationship from the vision of Smart Agriculture. Moreover, the article aims to assist in the decision-making of the strategy from the pre-production stage to the business marketing in the country by assessing Hype Cycle and trends of the technologies. Some of the big IoT data applications in the Smart Agriculture cycle are also introduced.

Today, Knowledge is considered as an essential part of any organization's capital. Even competition in the market depends on the development of individual and organizational knowledge, Hence Knowledge Management plans to organize the link between macro strategies and knowledge management strategy in order to give the right knowledge to the right person at the right time and also to maintain a competitive advantage. The study of factors affecting processes such as motivation will be very important. This study seeks ways to motivate employees to knowledge sharing and to share their knowledge with their colleagues. In this study, the descriptive survey method based on a statistical population of Bank headquarters staff, 191 people which is calculated 128 samples, has been used. A Simple random sampling method has been used to collect data from a five-option Likert questionnaire. The Validity of the questionnaire was confirmed by visiting masters and experts. Cronbach's alpha reliability of 82.4% was calculated by the formula. The Kolmogorov-Smirnov test was used to detect normal or abnormal data, which resulted in abnormal data. Spearman correlation test for abnormal data was used to test the research hypotheses. The results show that in the opinion of the Post Bank staff and managers, motivational factors affect more than the average level of motivation in knowledge sharing. Indeed the relationship between motivational factors in motivating staff in Bank was not the greatest role is related to financial and non-financial rewards and the lowest one was related to organizational structure.

Today, the use of joint research and development has facilitated technological progress, which has led to the production of new products, processes and services for the market. In order to safeguard these achievements, intellectual property rights in international technology cooperation as well as collaborative research projects between the private and public sectors, especially in the field of patents, have become twofold. Intellectual property plays an essential role in promoting this type of collaboration between the university, industry and government and plays a complementary role in technology development. But a look at Iran's intellectual property policies in joint research projects and consortia in the past suggests that there is no coherent and complete framework for intellectual property arising from these collaborations, so the main purpose of this study is to examine the role of intellectual property rights in joint research projects And consortia and policy advisers in this regard. This research is a review of the literature and uses a library methodology and in-depth study of available literature and articles and internal and external books on intellectual property and joint research projects, and specifically on model agreements in the Consortium of Europe and the United Kingdom And finally a model agreement has been proposed to managers and policy makers active in the field of science and technology development in Iran, given that such agreements are less visible.

Today, leading companies are trying to maximize their profitability by paying attention to important factors for their customers. This is the key to their success on the basis of marketing. Therefore, the present research seeks to identify and prioritize the essential marketing capabilities on the performance of science companies in science and technology park. The current research is about descriptive-survey research and data collection method. The statistical population of this study is 750 people and the sample is 254 employees and managers of Kermanshah University of Science and Technology Park students. A researcher-made questionnaire was developed. Whose validity was confirmed by the professors and experts of the university and experts in the Science and Technology Park. The Cronbach Alpha value of the knowledge-based knowledge base of 906/0 and the essential marketing capabilities were all above 0.70, which indicates acceptable reliability. The results of Pearson correlation coefficient showed that there is a positive and significant correlation between marketing capabilities and performance of student companies, and research variables with a 99% confidence level have a meaningful relationship and all relationships at error level 1 / 0 verified. Also, the results of regression showed that "service marketing", "Internet marketing" and "marketing of new products" affect the performance of knowledge-based companies. Finally, based on the results of Friedman test, the international marketing and export dimensions with the score of 7.61 have the highest impact and marketing services and Internet are in the next category.

Today, as global competition in the business world grows, companies need to have a close relationship with their suppliers in order to survive and achieve reasonable profits. Researchers have recently examined models for supplier selection, with less attention being given to the pattern of collaboration with selected partners. Despite much research on the types of collaboration models, their features, requirements and achievements, providing a comprehensive and comprehensive model for selecting the most appropriate type of relationship between the two partner organizations has not been sufficiently considered. Generally, supplier-buyer collaboration patterns include outsourcing, strategic alliance, joint venture and ownership. The purpose of this research is to design a model that determines the appropriate collaboration model according to the product characteristics, business conditions and goals of the organization. The model uses profit, opportunity, cost and risk structure, which is a comprehensive and widely used model for strategic decisions. In this research, the choice of collaboration model between two partner organizations is investigated in order to design radar components. By studying the library and interviewing the experts of the Iranian Defense Industry Organization, the factors influencing the selection of the appropriate cooperation model for the relationship between the two partner organizations were identified and prioritized. A Hierarchical Analysis Process Model (AHP) is designed to prioritize the relevant criteria and sub-criteria. Pairwise comparisons were made according to the experts' opinion and the results were analyzed using SuperDisign software.

Today, due to increasing competition and dynamism of economy and business activities, adopting a strategic approach to supply chain management and supplier selection is undeniable necessity. Suppliers are one of the most vital parts of supply chain and supplier selection issues are complex issues that may have many qualitative and quantitative concerns. The presented frameworks in the previous research are unable to response dynamism strategic and provide an appropriate framework, in this study, strategic cooperation approaches and supplier selection criteria have combined. For this purpose, components of cooperation strategies and supplier selection criteria have been counted and based on quality function deployment approach, the relationship between them has been specified. Finally, using fuzzy TODIM method, strategic weight of criteria has been obtained. in this study, because of expert oriented data, the non-sampling method is used for gathering data. The statistical population consist of supply chain experts and managers of Yazd Alloy Steel corporation. For analyzing data, a the oretical sampling was used and a non-statistical sample including ten experts was selected. As a result, a strategic supplier selection framework and strategic weight of every component, were determined. The results of data analysis show that among the 20 criteria, five criteria including "product quality", "strategic planning", "History of suppliers", "risk prediction" and "R & D Management" are in the first to fifth priorities in terms of importance respectively.