جستجوی مقالات مرتبط با کلیدواژه "فناوری های هوشمند" در نشریات گروه "مدیریت"

The aim of the present research was to identify the pattern of development of artificial intelligence and smart technologies in improving urban tourism experience. This research is applied in terms of its objective and was conducted using a qualitative method of thematic analysis. The statistical population of the research included experts and senior managers in the tourism industry, as well as staff and managers of the Cultural Heritage and Tourism Organization of Tehran in the year 1403 (2024/2025). Using purposive sampling, 30 individuals were selected as the sample. To extract the dimensions of the final research model, the systematic method of Strauss and Corbin (1998) was used. The validity of the findings was evaluated using four criteria: credibility, transferability, confirmability, and dependability, as well as the researcher’s self-review and agreement between two coders. The findings were analyzed based on the coding method in MAXQDA software. According to the research findings, 398 basic themes, 33 organizing themes, and 7 overarching themes were identified, which include artificial intelligence, digital tourism marketing, cryptocurrencies and the financial ecosystem in tourism, social media in tourism, branding, the Internet of Things, and technological infrastructure as dimensions of the model for developing artificial intelligence and smart technologies to improve urban tourism experience. Based on the findings of this research, it is suggested that tourism industry managers enhance urban tourism by considering the dimensions of the extracted model.

The present research aims to examine the impact of smart tourism technologies on tourists' experiences. Tourism is an information-driven industry, and the development of information technologies can fundamentally change the performance and structure of this industry. This study is conducted as an applied survey research using standard questionnaires on "smart tourism technology" and "tourist experience." The statistical population includes tourists visiting museums in Tehran in 2023. The research hypotheses were tested through regression analysis using SPSS and SMART PLS software in the inferential section. The results of the correlation analysis between the variables of smart tourism technology and the perceived value of tourists' experiences, using the Pearson correlation coefficient, showed that the variables of subjective experience (correlation coefficient 0.776), emotional experience (correlation coefficient 0.732), behavioral experience (correlation coefficient 0.768), existential experience (correlation coefficient 0.710), and recreational experience (correlation coefficient 0.736) have a positive and significant correlation with the variable of smart tourism technology from the tourists' perspective. Additionally, the results indicated that smart tourism technology overall has a positive and significant effect on tourists' experiences, with an effect size of 0.715. Moreover, the findings revealed that among the features of smart tourism technology, information has the largest effect size of 0.298; accessibility ranks second with an effect size of 0.292; and personalization ranks third with an effect size of 0.183 on the perceived value of tourists' experiences. Interaction has a significant impact only on the subjective experience dimension, with a standard coefficient of 0.177, ranking fourth, while security has no effect on any of the dimensions of tourists' experiences, placing it in fifth place.

Smart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability.

Researchers believe that in order to ensure their survival in society, companies should consider measures that take into account not only the interests of shareholders, but also the interests of other stakeholders. The aim of this study was to investigate the effect of smart technologies on corporate sustainability with the mediating role of corporate sustainability strategy. The statistical population of the study was all employees of Paxan Company in Tehran, whose number was 982 people by simple random sampling method and 276 people were selected based on Cochran's formula. The main data collection tool was the questionnaire of Sanillo et al. (2019) whose validity was formally and structurally and its reliability was assessed using Cronbach's alpha. The present study was conducted in terms of applied purpose and descriptive-survey. Structural equation model and Smart pls number three software were used to analyze the data. Intelligent technologies have a positive effect on corporate sustainability with the mediating role of corporate sustainability strategy in Paxan Tehran. The results also show the positive effect smart technologies on environmental, social and economic sustainability in Paxan Tehran. Paxan can increase its organizational sustainability by adopting sustainable strategies along with the use of intelligent technologies.

The development of intelligent technologies requires planning,organizing,controlling and monitoring.The main purpose of this study is to design a structural model of components for the development of intelligent technologies in the telecommunications industry. The present study is a qualitative-quantitative (mixed) research. The population studied in the qualitative part of this research consists of 10 experts in this field in Ilam Province Infrastructure Communications Company.Also, the study population in the quantitative and modeling sections are the same 10 experts. In this research, first, using semi-structured interviews and their analysis,153 codes,9 main categories and 4 general themes were identified as technological, managerial, marketing and cultural infrastructures.In the next step, bydistributing the pairwise comparison questionnaire related to9 main categories and analyzing them, an interpretive structural model of the research was obtained.This model consists of 5 levels,among which, knowledge is at the lower level and is the underlying variable for the development of intelligent technologies.At the next level, it is the training variable that is the next priority.The variables of awareness, belief and attractiveness are important in the next category that paying attention to these factors,in order of importance, can be very useful and effective in the development of intelligent technologies in the telecommunications industry.

Given the development of smart retail in the business environment, the acquisition of smart technologies by retailers seems inevitable, and in this regard, the choice of these technologies in the retail industry is influenced by the characteristics of technology and organizational capabilities. This research has been conducted with a mixed exploratory approach to identify intelligent retail technologies as well as the requirements and factors affecting the selection of these technologies in Refah chain stores in Shiraz. In the first part of this study, by a systematic review of the background, intelligent retail technologies and their selection factors were identified, and then, based on the opinion of experts, the technology selection criteria were weighted with the best-worst technique. Finally, the identified technologies are prioritized based on the mentioned criteria and using the TOPSIS technique, and as a result, 26 criteria (in 7 areas) and 23 intelligent technologies were identified. Therefore, the ability to provide information to the customer, the impact on the convenience of customer selection, technology costs, and the IT infrastructure of the stores have been presented as the most important factors in choosing smart technologies. Also, smart display technologies, interactive information terminals, mobile applications, digital signage, and electronic shelf labels were identified as the best options for smartening Refah Chain Stores.

With the rapid development of information and communication technology and smartphones, smart technologies and mobile applications have become a vast and integral part of everyday life. Acceptance of technology is a descriptive and provable satisfaction for using information technology in the tasks designed to support them. Research in which the term acceptance is used often tends from a theoretical point of view to technology acceptance models. Therefore, the purpose of this study is to investigate the role of acceptance theories in consumer behavior. In the following, we will have an overview of acceptance theories and their role in consumer behavior, and then a discussion and conclusion is given. The present study can help online retailers and online stores to understand the factors affecting the use behavior of customers and by adopting appropriate policies and actions, engage buyers and attract customers to long-term and short-term goals. Reach yourself.