JOURNAL OF SCIENCE AND TECHNOLOGY POLICY LETTERSIS
Year:2021 | Volume:11 | Issue:3 (36)|Papers Count:6

Given the difference between knowledge strategy and knowledge management strategy, this study analyzes and compares knowledge strategy and knowledge management strategy research. This study is a descriptive-scientific approach that uses co-word and social network analysis techniques. The research community is the scientific studies of the knowledge strategy and knowledge management strategy in the WOS. Histcite, Excel, and Gephi software were used to analyze the data and VOS viewer to draw the maps. The United States and China have the highest production in the fields of knowledge strategy and knowledge management strategy. Bratiano and Birli have the highest production and citations in the field of knowledge strategy, and Hansen, Neuchrea and Tierney have the highest production and citations in the field of knowledge management strategy. The business economy has contributed the most to the production of studies in both fields. Padua University has the largest participation in both fields. The keywords of the knowledge strategy constitute 5 clusters and the knowledge management strategy constitute 8 clusters. There are 534 common keywords in the thematic clusters of these two fields. The growth trend of scientific production of two fields is ascending and more products and citations in the field of knowledge management strategy show more attention of researchers to this field. The field of information science has more participation in research productions of knowledge strategy than the field of computer science.

The globalization of the market has intensified the field of competition for companies, companies are trying to increase or at least maintain their competitive advantages by using different resources and processes. Advances in information technology have enabled service companies to store large amounts of data about their customers and exploit it in their strategic marketing thinking. Hence, more knowledge of customers using big data information technology has been considered due to the large volume of seemingly unrelated data as well as the use of complex statistical software to analyze customer needs in recent decades in service companies. In this study, we identify the factors that affect the actual performance of Shuttle employees in the use of big data information technology that leads to the performance of the service company. The purpose of this research is applied and descriptive with the statistical population of the employees of Shatel. Statistical analyzes were performed using SPSS and Amos software and structural equations were used to test the hypotheses, which confirmed all but one of the two perceived risk hypotheses on performance prediction as well as perceived risk on behavioral intent. Findings show the effect of performance forecasting, effort forecasting and social factors on the performance of shuttle employees through behavioral intent, taking into account the perceived effect of risk, opportunity cost and resistance to the use of big data.

Information and communication technology (ICT) is one of the new technologies that has been introduced to the villages in recent years and is a tool for the sustainable development of these areas and achieving the quality of life of rural residents. The purpose of this study is to identify and rank the factors affecting the efficiency of rural information and communication technology offices in Lorestan province. The research method is descriptive-analytical and the data collection method is library and field. The statistical population is 267 agents of rural information and communication technology offices in Lorestan province. Using Cochran›, s formula, 158 agents were selected as a sample. The questionnaire includes four categories of human, technical, organizational, and process factors in the form of 27 variables. The obtained Cronbach›, s alpha is equal to 0/757. The results showed that the average of all effective factors in increasing the efficiency of rural ICT offices is above average. According to the Friedman test, technical factors are in the first place and the coefficient of determination showed that these 4 factors explain % 64 of the efficiency increase variable. Using beta coefficient, the share of technical factors is 0/430, the share of human factors is 0/391, the share of organizational factors is 0/278 and finally, the share of process factors is 0/218. In other words, 4 categories of technical, human, organizational, and process factors have the most role in predicting the variable of increasing the efficiency of ICT offices in Lorestan province, respectively.

Today, green issues and sustainable development have become an important and strategic issue for companies and organizations to remain in local and global competition due to increasing social, economic and legal pressures,To this end, organizations are always looking to use tools and methods that, in addition to achieving their goals, also support social and environmental goals. Green information technology is recognized as one of the key factors in achieving sustainable environmental development. The purpose of this article is to investigate the factors affecting the adoption of green information technology in small and medium industries in Kermanshah city. This study is a survey-descriptive in terms of applied purpose and in terms of research methods. The statistical population of the study consists of managers of small and medium industries in kermanshah city. a standard questionnaire was used to collect data from and Scoring based on the likert scale. Data analysis was performed in the form of structural equation modeling using Smart PLS3 software. The results of the study have been the direct effect of the factors studied in the research(senior management support, government support, economic drivers, environmental compliance drivers, business resources, corporate governance and technological resources) on the acceptance of green information technology.

Technology, as a major driver in the fields of science and innovation, has many consequences in various areas of development in the country. The increasing speed and acceleration of production, evolution and transfer of technology has doubled the importance of recognizing the developments and changes in this field. And the lack of knowledge and theory in the field of the nature of technology, its functions and consequences has laid the groundwork for the phenomenon of managerial and policy lag in this area. The purpose of this study is to identify the epistemological challenges of technology governance and provide solutions for the Islamic Republic of Iran. Accordingly, the research question is, based on the research conducted, what are the epistemological challenges in technology governance and what solutions can be offered for the Islamic Republic of Iran. The research method is documentary analysis and thematic analysis and the research conducted in the field of science, technology and society studies in the last ten years has been used. Among the most fundamental problems in technology governance are the epistemological ambiguity in the nature and philosophy of technology, technology and political domination, technology and the decline of real communities, technological determinism, the dominance of technology over culture (technology), technology and the power of change, technology and expansion. Inequality, technology and normalization, technology and changing patterns of economic development, technology and shaping the center-periphery world, technology and alienation, technology and changing patterns of consumption, technology and moral consequences, technology and changing lifestyles. In the summary section, philosophical and epistemological challenges, socio-cultural challenges, political challenges and economic challenges are separated and categorized.

The aims of Promoting scienceengaging and participation the general public with science through various means and methods. One of these methods is holding scientific events. The purpose of this study was to examine the extent to which the goals of the “, what is going on in the brain”,event have been achieved and the characteristics of informal education. The statistical population of the study consisted of people over 20 years old and students attending the event during the event. 46 parents and 205 students were selected by random sampling method. Data were collected using a three-part researcher-made questionnaire: Demographic characteristics, event content, non-formal education features and suggestions. The results of the data analysis showed that the visitors satisfaction of from the (parents and students) event and the achievement of the goals was predetermined (more than 70%). Furthermoremost of the stations had informal training features. These results show the public›, s interest in participating in science events, and the need for more attention from organizations and trustees to organize these events, and to address the scientific needs and interests of visitors when designing events.