مجله توسعه تکنولوژی صنعتی
پیاپی 49 (پاییز 1401)

Today, modern technologies are constantly changing the legal structure of various industries. In the transportation industry and specifically in companies providing intelligent transportation services, the legal status of drivers has been affected by this issue. Companies claim that they are merely intermediaries between drivers and passenger users and no longer have a role in transportation, but in contrast, some consider transportation between the company and the passenger user and the company and the driver are subject to an employment relationship. The purpose of this article is to determine the legal status of the driver in the mentioned companies, and therefore, first the quality of the driver's relationship with the company is discussed, and then we deal with the issue of what legal rules can govern this relationship. The present article has been done by analytical-descriptive method. The results indicate that despite the fact that the business model of the mentioned companies has many benefits and advantages, but they do not comply with some traditional legal rules in some sectors and have caused them to be disrupted. Drivers in this business model are in a vague and disproportionate situation and are deprived of any legal protections and also do not have any employment relationship with the company. In order to regulate this situation, the French legal system has considered the performance of drivers in these companies as a kind of legal subordination and has identified drivers as employees. In the Iranian legal system, the performance of drivers can not be considered legal subordination, so drivers are recognized as self-employed.

In today's competitive world, organizations must improve their performance in order to stay competitive with other competitors and strive to create opportunities to attract top talent. The purpose of this study is to determine the role of tendency's and Actions of talent management on the performance of technology businesses of companies operating in the Science and Technology Park of Kurdistan Province. The present study is applied in terms of purpose and is descriptive and survey in terms of data collection. The statistical population of the study includes companies and organizations located in the Science and Technology Park of Kurdistan Province. The number of companies studied was 81 companies, which was obtained by using simple random sampling method and 68 companies through Cochran's formula. The main tool for data collection is a researcher-made questionnaire whose content validity was confirmed by 7 experts in management and the combined reliability and total obtained was above 0.7. SPSS and SMART PLS software were used to analyze the research data. The results showed that talent management actions and tendency's have a positive and significant effect on the performance of technology businesses. Talent management actions with a coefficient of 0.611 had the most impact on the performance of technology businesses and work-based systems with a coefficient of 0.344 had the least impact on the performance of technology businesses. The results showed thatTalent management actions for knowledge-based companies have a higher priority than talent strategic management tendency's. This means that for tech businesses, short-term results are more important than long-term results because of their instant gratification.

 The present study aimed to investigate the effect of organizational culture dimensions on the development and improvement of organizational technology. The method of the present research is applied and descriptive-survey in nature. The statistical population consists of the total number of start-up companies in Iran, which at the time of collecting research data was 2221 companies, and according to Morgan's table, 327 companies were selected as the sample size. In order to analyze the data, descriptive statistical methods such as mean calculation and standard deviation were used. Then, in order to predict the development of organizational technology through the dimensions of organizational culture in the study population, stepwise linear regression test was used. The results of this study showed that all variables and dimensions of organizational culture have a positive, direct and relatively high correlation with organizational technology. And the analysis of stepwise regression test also showed that the organizational technology of start-up knowledge-based companies can be predicted by combining all four dimensions of organizational culture. Therefore, recommended that the companies under study, before using a particular type of technology, identify and analyze their organizational culture and use the appropriate technology in accordance with the level of their culture.

In the past few years, shopping from technology-based stores that operate online has become popular among shoppers, and because of the ease of choosing among different sellers, online companies are at risk of losing customers. Therefore, to optimize customer service, it is necessary to identify the most important factors affecting these shoppings from the customers' point of view and eliminate the problems that cause customer dissatisfaction. In this research, we are using the netnography approach, to identify these factors in Digikala Company. In the process of collecting the comments of the company's customers on the Instagram social network over a period of 8 months, 353 related comments selected, and after completing the open coding steps, a model containing 10 core categories (and 38 constituent dimensions) affecting on online shoppers of technology-based companies was identified. The results are including 10 categories of supply chain management, personal views of customers, the possibility of returning purchased goods, previous buyer experience, product pricing, product variety, product approach, manpower, Website and application, packaging, and product quality.

Movement is basically guaranteed by three components of the system, such as the vehicle, the driver, and the transportation infrastructure. Over time, vehicles and infrastructure have made significant progress through technological improvements. But the only constant component of this system, which is still dangerous due to human limitations in driving is human. The proposed human solution to solve this component is the use of autonomous vehicle or driverless car. Therefore, the purpose of this study is the cross influence analysis of actors on the effective factors of autonomous vehicle or driverless car technologies so that by focusing on them, appropriate arrangements can be made for this technology. According to the problem paradigm, the methodology is qualitative, and the method of doing it is foresight, and the research population is experts in related industries. MACTOR software was used for analysis. The results of the research showed that actors such as the Ministry of Communications and Information Technology, and the Ministry of Roads and Urban Development, according to their position in the diagram, are part of the reflection and key variables. These variables have a high influence on the system and high dependence of the system. According to the results, since the driverless car is a technology that will have social, cultural and technological effects on the future, with the created clustering, it is possible to have an appropriate policy in implementing this technology.

The purpose of this study is to present a model for key success factors in the design and development processes of new automotive products with the DFX approach. Due to the purpose and nature of this research in terms of method, it has been qualitative research. The statistical population of the study included university professors and senior managers of Sapco Research and Engineering Center and Iran Khodro Engineering Deputy. The sample size was determined until data saturation and the purposive sampling method was employed in the selection of samples. The results showed that the categories of the utilization of modern technologies, DFX components, human capital, facilities and infrastructure, cooperation and interaction, policies and rules, and organizational factors are the most important factors of success in the process of designing and developing new automotive products with the DFX approach. It is concluded that success in the design and development processes of new products in the automotive industry requires the satisfaction of a set of factors, in which the defect in each of them can affect the other.