مجله توسعه تکنولوژی صنعتی
پیاپی 51 (بهار 1402)

Achieving higher performance is a goal that organizations take various steps to achieve. Organizational learning and market orientation have been introduced as a useful tool for organizations to achieve the desired performance. The purpose of this study is to determine the effect of market orientation on organizational performance with the mediating role of learning orientation. The present applied research is descriptive-survey in terms of data collection method. The statistical population of this study was the employees of Pegah, Telecommunication and Parsoswitch companies. According to the initial sampling and determination of variance deviation, using Cochran's formula, the statistical sample size of this study including 131 employees was obtained who answered the questions by non-probability sampling method. Data collection tool was a questionnaire consisting of three variables of market orientation, learning orientation and organizational performance. Its reliability was confirmed by Cronbach's alpha coefficient of all variables more than the minimum standard value (0.7) and its validity through (AVE) more than 0.4. In this research, structural equation modeling and partial least squares method were used to test the hypotheses and fit the model. According to the findings, the t-value of the effect of market orientation and learning-orientation variables on organizational performance was confirmed with 7.802 and 9.521, respectively, and the effect of market orientation on learning-oriented with 6.107. The results showed that market orientation has an effect on organizational performance with the mediating role of learning orientation. Therefore, market-oriented organizations can improve their organizational performance in a competitive market through organizational learning and increasing the level of knowledge, awareness and skills of employees.

Despite numerous regulations related to science and technology in the upstream part of Iran's oil industry, but these efforts have not been identified in a coherent manner, and the results of their impact on improving the levels of technological capability have not been studied. In this study, while examining the concepts of technological capability and regulation, the framework of regulating laws and regulations at the macro (national), medium (industry) and micro (enterprise) levels on the technological capabilities of the upstream part of the Iranian oil industry was demonstrated. According to the purpose of this study, it is an exploratory, descriptive and applied qualitative study that was conducted by semi-structured qualitative interviews with 14industrial and scientific experts up to the theoretical saturation stage and was analyzed by phenomenological method in the Grounded theory methodology. The results showed that the law of tenders, as a transparent platform for competition, is effective on the level of technology acquisition capability, and the law of maximum internal power, which is supported by the oil industry vendor list instructions at the industry level, on technology exploitation and compliance.The Law on Support of Knowledge-Based Companies with an Emerging Paradigm is effective at the level of technological innovation.

Many experts emphasize the necessity of using capabilities as a dynamic mechanism in guiding sustainable development strategies in order to control the adverse consequences of industrial development caused by the extensive exploitation of natural resources and the increasing destruction of the environment. These capabilities are through matching internal resources with capabilities. Foreign enables companies to choose the best strategic capability for sustainable development by identifying risk and uncertainties as the causes of disruption. This research is a hybrid in terms of developmental methodology and in terms of data collection. In the qualitative part, the components and themes of the research were determined based on meta-composite analysis processes, and Delphi analysis was also used to determine the limit of theoretical consensus. Also, with the aim of identifying the most influential factors identified in the quantitative section, intuitive fuzzy analysis was used. The results of the qualitative part indicate the existence of 5 themes of vital infrastructure of the industry and 3 components of the capabilities of sustainable development strategies. The results in the quantitative part also showed based on the process of fuzzy Vicor analysis, the technical factor is the most influential factor of the vital infrastructure of the industry, a factor for strengthening the capabilities of the sustainable development strategies of the oil and gas industry. And the strategy of sustainable economic development, the most important approach of the studied company, should be considered under the existence of the technical factor.

The world is now in the throes of a public health crisis caused by the Covid virus, which has affected people in almost every aspect of daily life and left the world economy in a state of uncertainty. Also, the epidemic of the virus in the payment industry and supply chains has caused many changes, so the present study with an interpretive approach has identified the variables of electronic supply chain stability from the perspective of blockchain activists and university professors. The research approach to the applied method is qualitative methodology and the data method of the foundation has been used to conduct research operations. The data of this study were collected using semi-structured interviews. The sampling method used in this study is purposeful sampling and using the theoretical saturation index, 10 prominent university professors and activists in the field of blockchain were interviewed as a research sample. Their attitudes and views on the research topic were examined. Research findings User relationship flow, service flow, information flow, financial flow, environmental flow affecting the core platform of identifying and managing suppliers, demand management, technology and information management, environmental management as causal and environmental conditions Technological, social environment, economic environment, legal environment as background conditions and political factors, determining international market factors as intervening conditions from the perspective of experts. Finally, policy and planning, infrastructure, awareness and training of appropriate solutions. Which will lead to improved quality of goods and services, improved performance, improved social space, improved financial processes, improved environment.

The purpose of this research is to design an Entrepreneurial learning pattern based on the Failure experiences of Iran's Superior entrepreneurs. The research method was mixed with exploratory-sequential design, phenomenological method and applied-developmental goal. The statistical population of the study included elites and academic experts in entrepreneurship management. In this study, using semi-structured purposive sampling method, 24 semi-structured interviews conducted with entrepreneurs and university professors in the field of entrepreneurship management. In the quantitative section, by sampling the software sufficiently, one hundred entrepreneurs and students active in entrepreneurship answered the researcher-made questionnaire extracted from the qualitative section. Qualitative data analysis to achieve saturation and theoretical consensus for open, axial and selective coding of research categories in seven research constructs and its quantitative analysis performed with Smart pls statistical software. Based on the results, the entrepreneurial learning model based on the failure experiences of Iran's top entrepreneurs included seven constructs of entrepreneurial experiences, influential context, barriers, motivators, enablers, attractions and consequences. In the quantitative results, the relationship between the categories and structures of the model and the quality of the effect size of the categories of each structure evaluated as above average and strong. The fit of the research model was appropriate and robust (GOF = 653.0). The relationship between positive and significant research model constructs (T 58 58.2) confirmed at 99% confidence level. Finally, managers and young entrepreneurs in Iran are advised to implement appropriate operational plans to apply the model of this research, by modifying some deterrent processes, to try to increase the above-mentioned consequences and use the failure experiences of Iran's top entrepreneurs in Be diligent in entrepreneurial learning.

Choosing the right technology is an important issue faced by manufacturing and industrial companies. This is while the access to new technologies has widened the selection set so that solving the problem of technology selection has become more difficult and complicated despite multiple decision criteria. On the other hand, appropriate technology can create significant competitive advantages for a company in a complex business environment. So far, various methods have been presented to solve the problem of technology selection, each of which has advantages and disadvantages, but none of the proposed methods have all the necessary capabilities. In this article, by using the method of principal components analysis, the combined method of clustering and analysis of principal components along with fuzzy theory, the combined KMPCA algorithm has been developed in solving the technology selection problem. The number of technology selection variables was increased from 6 to 14 variables with a more complete coverage of decision dimensions, and data from 49 currently technologies of Iran's stone industry were collected and tested in the model. The results of this research, while improving the solution, show the reduction of the dimensions of the problem and the reduction of multi-collinear relationships between the data in the technology selection process.