جستجوی مقالات مرتبط با کلیدواژه « smart cities » در نشریات گروه « مدیریت »

Urban systems include many closely related components that have become more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Transforming these data into knowledge to facilitate planning efforts in addressing the current challenges of complex urban systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. However, by applying a purely data-driven approach, it is very easy to get lost in the "forest" of data, and miss the "tree" of successful and livable cities that are the ultimate goal of city planning. This paper describes how geospatial data from urban analysis, using hybrid methods, can contribute to a better understanding of urban dynamics and human behavior, and how it can enhance planning efforts to improve livability. Based on a review of the latest research, this paper goes a step further and also addresses the potential as well as the limitations of new data sources in urban analytics to get a better overview of the entire "jungle" of these new data sources. The present work is a qualitative review based on research conducted with analytical methods about the reliability of using big data from social media platforms or sensors, and how to extract information from massive amounts of data through new analytical methods, such as learning. The machine is for more informed decision-making with the aim of improving urban livability. The purpose of this article is to review some of the synergies and challenges of the interdisciplinary approach (dissection and urban analysis based on GIS in improving the livability of cities, by examining the key findings and questions obtained from the advanced literature).

his study aims to identify the effective factors and provide a model for the development of urban smart tourism in Tabriz city with a marketing ecosystem approach. The qualitative approach with the content analysis method was used in this regard. The field method with the in-depth interview technique was used to collect the required data while studying the library resources. The interviews continued until theoretical saturation was reached. In total, 16 experts in this field were interviewed by snowball sampling. MAXQDA software was used for content analysis. The findings of the research indicate that 33 subthemes in the form of five main themes include marketplace (global developments in the tourism market, public relations, promotion, etc.), technology (developments in the field of technology, upgrading purchasing systems, dynamic response systems, etc.), socio-economic (smart financial transfer, financial transparency, acceptance of innovation, etc.), geopolitics (strengthening Iran's tourism competitors, etc.), and environmental (smart management of resources, environmental crises, sustainability, etc.), form the model of urban smart tourism development in Tabriz. This research showed that the development of smart urban tourism at the international level has a higher complexity than domestic tourism. Managers of urban destinations can benefit from the results of this research, including the use of fifth-generation tourism, infrastructure development, increasing government support, developing smart projects, benchmarking and more cooperation with the world's leading smart cities and increasing the participation of local people to advance their development goals

The primary aim of this research is to explore and analyze the profound and extensive impacts of sharing economy platforms on new entrepreneurial models within smart cities. This study seeks to provide a comprehensive understanding of how these platforms facilitate innovation and urban economic development. This study employs a qualitative approach through semi-structured interviews with 28 entrepreneurs, city managers, and ICT experts. Participants were selected using purposive sampling, and data were analyzed using qualitative content analysis. The results indicate that sharing economy platforms serve as powerful facilitators for promoting innovation, creating new job opportunities, and improving access to services in smart cities. These platforms effectively reduce entry barriers for new entrepreneurs and strengthen dynamic and creative entrepreneurial ecosystems. This study underscores that sharing economy platforms play a crucial role in the sustainable development of smart cities. They not only aid in stimulating economic growth and innovation but can also act as catalysts for change in traditional business models and promote a culture of collaborative entrepreneurship.

 The purpose of this study is to investigate the effect of governance on the quality of residents’ life in smart cities by presenting and evaluating a conceptual model and the case of study is the residents of Shahrdari zone, Mehrshahr, Alborz province.

It is applied research in terms of purpose and descriptive research in terms of nature. Analyzing the data has been done using the structural equations of the statistical population consisting of the residents of Shahrdari zone, Mehshahr, Karaj. The data was collected through a questionnaire - 384 questionnaires were distributed- of which 358 were accepted. It contained 6 variables and 24 items. its reliability was confirmed using Cronbach’s alpha and also its validity was confirmed using content validity. The data collection method was also through field and library research.

The results show that the variables of responsibility and accountability (0.82), cooperation (0.61), communication (0.60), participation (0.55) and transparency respectively affect the quality of life.

The results show that the path coefficient is significant with the quality of life among all other variables. In other words, all indicators affect the quality of life, and other indicators can be called transparency, cooperation, participation, responsibility and accountability, and communication.

In the current changing environment, accelerating the progress of societies; It has led to the comprehensive presence of information and the multiplicity of information resources, which has increased the value and importance of concepts such as knowledge management, crisis management and smart cities. In this situation, successful organizations are able to adapt to these conditions and make timely reactions and decisions using these concepts. Therefore, the present study seeks to develop a model to examine the relationship between knowledge management and crisis management and smart cities.

The research method of the present study is descriptive correlation with a statistical population. The statistical population of this study is the managers and employees of Eshtehard municipality with more than one year of work experience, whose number was 83 people. A questionnaire with a Likert scale with five options was used to collect information. This questionnaire has 27 questions for measuring three variables, the reliability of which was 0.919 using Cronbach's alpha, which was a good value.

Using AMOS software to analyze the collected data, confirmatory factor analysis for the validity of the structure and a structural model (which assumes a specific causal structure between the hidden variables) were used to test the research hypotheses. Findings indicate that knowledge management is related to crisis management and smart cities and has a significant relationship.

According to the research findings, knowledge management in conjunction with crisis management, is considered as an important and vital factor for smart cities, in order to create value and sustainable preparedness in today's complex and changing environment, as the main background in dealing with Crisis hosts. By making cities smarter, communities are able to perform better in tackling and preventing crises. On the other hand, in the designed model, it was found that smart cities are effective in crisis management and can be pursued as a new approach in the global arena of urban management as a transcendent perspective in our country.