جستجوی مقالات مرتبط با کلیدواژه "r" در نشریات گروه "مدیریت"

Tourism services are one of the most vital industries on world economy, and at the same time, they are very prone to crisis. Important unexpected events that affect tourism may include external conditions such as natural disasters, epidemic diseases, terrorist attacks, financial crises, as well as internal events such as family crises. In addition, incidents such as political, economic, social and technological issues can disrupt the performance of tourism-related organizations and require the response of regional tourism organizations and local authorities in order to minimize damage of tourism destinations. A wide range of tourism services such as accommodation, transportation, reception, tour guide, and many others are affected by various crises. therfore, crisis management in tourism, both at the level of the organization and at the level of tourism destinations, is a big challenge. Tourism is inherently vulnerable to countless crises, from epidemics to terrorist attacks, and can significantly affect its performance and reputation. The occurrence of various crises in tourism activity is inevitable and can occur in form of natural and human hazards in tourism community and endanger the safety of tourists. Therefore, the research was conducted with the aim of identifying and prioritizing the factors that create emergency (critical) conditions in tourism tours.

Crises, including the Corona crisis, can have profound effects on societies and cause a loss of public trust. Therefore, it is very important to plan and implement appropriate strategies to restore the image of the destination and increase the trust of the organization using social media. Yazd is one of the provinces that may face various crises due to different climatic conditions. In such a situation, organizations need to present their information and actions to the public by using social media to increase people's trust. The present study was conducted with the aim of identifying the factors influencing the recovery of the destination image and the organization's trust in social media after the crisis in Yazd province. Descriptive research is a survey. The statistical sample of the research included 65 tourists from Yazd province, who were selected and interviewed non-randomly. Data and scenarios were analyzed using fuzzy cognitive mapping technique and the research model was designed using social network analysis. In this regard, several factors are involved, among which the factors emphasizing the importance of passenger safety and security, continuous and clear information regarding changes in passenger plans, and accurate and up-to-date information about the crisis situation were respectively the most important; Because they were more central. Emphasizing the importance of these three factors can have a significant impact on improving communication and creating a sense of trust among travelers through social media after the crisis and restoring the image of the destination from the perspective of travelers.

The current research has been carried out with the aim of identifying and prioritizing the dimensions of fascination for the tourism destination brand. In terms of its purpose, the current research was developmental-applied, and in terms of the data collection method, it is considered part of descriptive research. The statistical population of this research is considered to be all foreign tourists who visited Tehran, who are at least 18 years old, and who have visited the tourist attractions of this city. The necessary data were collected through 2 researcher-made questionnaires of 57 questions and 50 questions from two samples of 220 and 210 people selected by sampling method from the unlimited and accessible population. SPSS and smart-PLS software were used to perform exploratory and confirmatory factor analysis. Moreover, for the assessment of validity (convergent and divergent) and reliability, the index AVE, the Fornell-Larcker index, Cronbach's alpha, and composite reliability was used. The exploratory and confirmatory factor analysis results identified 9 dimensions for fascination with the destination brand and were prioritized based on Shannon's entropy method. Considering the weights obtained from Shannon's entropy, it was found that dimension of Attractiveness has the highest weight and importance, and the dimensions of Richness, Pleasure, Arousal, Dominance, Mystique, Friendliness, Uniqueness and Fitness are in the next priority. Furthermore, the research findings indicated that among the sources of information utilized by respondents for planning their trips to Tehran, the most popular information source has been tourism websites, the second most popular source of information has been brochures and advertisements, and the third source has been travel agencies

With the increasing development of technologies and communication methods, the use of digital marketing to advertise and promote services and products has become very important. One of the industries that benefit from these methods is the medical tourism industry. Also, considering the ever-increasing growth of technology and the widespread use of the Internet in different societies, the use of artificial intelligence and related technologies is very important. Therefore, the aim of the current research is to identify the effective factors on digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran). This research is a survey in terms of practical purpose and in terms of data collection. The statistical population of the research included 53 medical tourists from Tehran, who were selected to participate in building the model. For this purpose, the conceptual framework of the specific model and the data were analyzed using tools and techniques of fuzzy cognitive mapping and social network analysis. The results showed that several factors are involved in digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran city), including site optimization and branding factors in search engines, marketing targeting, better evaluation of marketing campaigns and better feedback from Audiences were the most important in order; Because they were more central.

Today, innovation is recognized as the primary key to gaining a competitive advantage and achieving long-term success in competitive markets. Organizations with high innovation capacity can respond more rapidly and effectively to environmental challenges. The significance of this issue in the current competitive landscape has led to numerous studies on the prerequisites and outcomes of innovation. To gain a more comprehensive understanding of this field, the present research has reviewed and categorized the results and findings of these studies.

This research is practical in its purpose and was conducted using a qualitative approach and a systematic literature review method. The information sources for the study were articles published on the topic in reputable domestic scientific databases within the selected time period. These articles were chosen based on the inclusion criteria for the systematic review process. The data were analyzed using qualitative content analysis.

Reexamining and categorizing the factors that promote and enhance innovation within organizations revealed several key prerequisites: environmental prerequisites (environmental pressures and supports), organizational prerequisites (organizational capabilities, intelligence, resource management, intangible assets, organizational orientations, and removing obstacles), human prerequisites (learning ability, creativity, effective communication, motivation, and trust), cultural and leadership prerequisites (cultural characteristics and directive leadership styles), human resource management requirements (human resource capabilities, empowerment, job and organizational fit, human resource management practices), and infrastructure prerequisites (flexible structures and technologies that facilitate interactions). Additionally, the outcomes of innovation are classified into two categories: individual outcomes (creativity, empowerment, and job performance) and organizational outcomes (organizational reputation, productivity, entrepreneurial capability, product quality, customer capital, value addition, knowledge management, learning, and organizational performance).

To thrive in today's competitive markets, organizations must continuously pursue innovation. For successful implementation, they must address critical issues such as the prerequisites and outcomes of innovation. The findings of this research provide a comprehensive understanding of the various prerequisites and requirements for organizations that aim to adopt innovation as a core strategy. Meeting these requirements can create a platform that facilitates and accelerates innovation. This effort necessitates alignment and convergence among the organization's structural, human, cultural, and technological elements, with human resources management playing a key role. The organization's capable and motivated human resources, founded on trust and complementary relationships among leaders, must be fostered by human resources management through its various functions. Additionally, leaders who support innovation and individuals who strive to embed innovation into the organization's direction and culture are essential. Furthermore, top management should ensure structural and technological alignment with the innovation strategy. The presence of flexible and dynamic structures, along with information and communication technologies that facilitate interactions, can foster a continuous cycle of organizational innovations.

Railway tracks are among the most critical and costly components of any railroad. Optimal and timely maintenance allocation ensures system reliability and effective resource utilization. This article presents a mathematical model designed for condition-based preventive maintenance of railway tracks. The objective is to minimize total maintenance costs while maintaining system availability and reliability. The cost function considers maintenance and renewal expenses, track possession costs, and unplanned failure costs during the planning horizon. The network is divided into segments, with the standard deviation of the longitudinal level calculated as the track quality index. Prediction and recovery models are developed to assess variations in the track quality index over the planning period. Preventive operations, including inspections, tamping, and ballast replacement, are assigned to track segments based on the allowable index limits and other constraints. The expected number of random failures is estimated using the non-homogeneous Poisson process, and preventive operations aim to reduce the incidence of such failures.

Given the complexity and non-linearity of the mathematical model, a meta-heuristic method based on a genetic algorithm was developed in MATLAB software. Initial random solutions were generated using a heuristic method. As a case study, input parameters were collected and modeled for one kilometer of railway in the Arak region. The efficiency of the proposed genetic algorithm was then compared with the results obtained using GAMS software.

For the case study, the mathematical model was solved for various problem dimensions using both methods. When GAMS software was able to achieve the optimal solution, both methods produced identical results. When GAMS could only report a feasible solution, the genetic algorithm outperformed it. For higher dimensions where GAMS provided a solution, the genetic algorithm produced results with objective function values that were 40% better.

The planning of preventive maintenance operations for railway tracks during the project period is achieved through solving the proposed mathematical model. This allocation is based on the quality index of the tracks and considers the reducing effect of preventive operations on the expected number of random failures, ensuring the required minimum availability and reliability of the system. The variability of the model's input parameters allows for consideration of influencing heterogeneous factors based on the tracks, traffic, and environment, enabling adaptation to different conditions or the implementation of various strategies. Additionally, the proposed genetic algorithm can efficiently solve different dimensions of problem instances.

The vast expanse of coasts in iran is affected by many faults and has a high seismic potential. Most of coastal lands consist of very loose soils with the risk of liquefaction. In the present study, the seismic behavior of the anchored sheet pile quay wall, which regardless of the risk of liquefaction, is buried in the loose liquefiable layer, has been numerically analyzed using PLAXIS software and the PM4Sand constitutive model. The soil in front of the root of the sheet pile (sea side) is the most prone area for liquefaction due to the low initial vertical effective stress level. The presence of a loose layer around the root of the sheet pile, due to the liquefaction of the soil in front of the root and the lateral pressure of the soil behind the sheet pile, leads to the rupture of the buried part. Soil-cement is one of the methods of improving loose coastal soils, which increases adhesion and reduces the liquefaction potential of saturated loose soils. Improving the soil around the root of the sheet pile on the sea side using the soil-cement method greatly reduces the proportion of excess pore water pressure, displacement and bending anchor of the sheet pile. The comparison made with the corresponding past research shows that soil-cement improvement with less time and volume of execution than the compaction method has a better performance in stabilizing anchored sheet pile quay wall affected by the loose liquifiable layer.

The purpose of the research is to identify and analyze occupational accidents among firefighters at stations covered by Tehran's 20th district.The applied research method is a mixed type that was analyzed by analyzing occupational accidents that occurred from 2018 to 2024 using JSA risk assessment worksheets and Superdecision3.2, SPSS26, and EXCEL2019 software. The research tool is a researcher-made questionnaire developed in the form of a risk assessment worksheet. The validity of the questionnaire was obtained from the experts and the CVR index was 0.37, and its reliability was calculated in a preliminary test (with 20 people) and Cronbach's alpha was 0.887. The statistical population of the research was 158 out of 268 firefighters, according to the Cochran formula, through the risk assessment worksheet. The sampling method was simple and the sampling size was calculated using the Morgan table, 152 people. Combining the results of risk analysis using JSA and ANP methods is a research innovation. The findings indicate that 14 unacceptable risks with a risk number greater than 12 were identified for 4 job titles. Also, the percentage of unacceptable, undesirable, and acceptable risks is 41.3, 37.3, and 22 percent, respectively. The ranking of risks in the Superdecision software was determined according to the final weights, including: A5= 0.24, A2= 0.16 and A1= 0.11. The results show that the highest probability of unacceptable risks occurring is at the operation site, and the most important control measures to reduce the risk level are: accurate scene assessment, use of personal protective equipment, and securing the scene of the accident.

This research has been carried out to design a model for promoting crisis management with an emphasis on the role of social media among armed forces employees. The research method is qualitatively based on the thematic analysis method. The statistical population included people who had both academic and practical experience in the field of media and crisis management, and finally, 17 people were selected as a statistical sample. According to the findings of the research, mass media have five main functions in crisis management: directing public opinion, monitoring and monitoring the environment, training, informing, and creating public solidarity. The findings of this research show that social media can play a significant role in the country's crisis management, and therefore the officials of the country's military forces are recommended to act based on the presented model to predict the crisis in time, prevent it and prepare to deal with it to pay.

The purpose of this research is to present a paradigmatic model of financial performance in the banking industry with a focus on supporting small and medium-sized enterprises (SMEs). The present study is applied in terms of its objective and qualitative in terms of its method. The target population consisted of experts familiar with the research topic, including university professors in the fields of banking and entrepreneurship, as well as senior managers from Bank Mellat. The sampling was done theoretically, and interviews were conducted with 12 experts until saturation was achieved. The research approach was grounded theory, which involved open, axial, and selective coding through interviews with the experts. Data were collected through expert interviews. To assess the validity of the research, the methods of review during coding and examination by another informed individual were used to ensure the accuracy of the coding. In this study, the test-retest reliability method was employed to determine the reliability coefficient. Based on the research findings, it was observed that the financial performance of the banking industry in supporting small and medium-sized enterprises comprised 142 open codes, 18 categorical codes, and 6 final axial codes, including six main components: causal conditions (financing), central phenomenon (financial support), intervening condition (financial policy), contextual condition (infrastructure), strategies (financial strategies), and outcomes (sustainable growth). The presented paradigmatic model indicates that effective banking support for SMEs can contribute to the growth and sustainability of these businesses.

The purpose of this research is to investigate the variables (self-confidence, communication, anxiety, social benefits, social good, attitude towards education and people's preparation) on the behavioral intention of tourism students towards the use of artificial intelligence.

The current research is classified as a descriptive survey research in terms of its practical purpose and in terms of its research method, and the statistical population is tourism students across the country. Statistical analyzes were also performed using spss and Amos software, and the regression method was also used in the hypothesis path analysis test, and it also displays the mean, standard deviation, skewness, and kurtosis.

The results of the research showed that all the factors and variables of the research have a positive and significant effect on the behavioral intention, except the perceived usefulness, which hypothesis was rejected, and the result showed us that the variables have an important and significant effect on the behavioral intention of the people. And by controlling these variables in the education system of the country, especially tourism, a suitable platform for optimal education can be provided.

The ways in which consumers interact with businesses have changed significantly due to the rapid and numerous developments that have occurred in recent years. In addition to traditional sales centers, companies have begun to offer other interactive channels such as web and smartphone applications, social networks, digital stores and contact centers to their customers. In this context, a phenomenon called "Omni channel" has emerged, where customers can use not only one of the existing interaction channels, but all channels simultaneously. For this reason and in this regard, the present study was conducted with the aim of presenting a model for integrating Omni channels in the banking industry.

The approach of the article is qualitative and in terms of its purpose is applied-exploratory. In this way, data were collected through related texts, in-depth interviews and semi-structured interviews with 15 experts, and a thematic analysis strategy including coding was also used to achieve the model extracted from the article. The data were also analyzed using coding and Max Quad software.

Finally, the quality model of integration of collaborative channels was designed with three components (levels): 1- Dimensions of model integration quality, 2- Drivers of the model (facilitators), 3- Consequences of the model and in 12 dimensions and 50 indicators.

By combining interactive elements and immersive narratives, interactive storytelling offers a powerful tool for engaging target audiences and creating an unforgettable experience that allows brands to break free from the limitations of traditional marketing and connect with their audiences on a deeper level. This approach transforms passive observers into active participants, creating a more memorable and impactful experience. This research aimed to identify and analyze the antecedents and consequences of interactive storytelling in digital marketing. This research is exploratory in terms of its applied purpose and in terms of its data collection method, in which digital business managers and marketing and e-commerce professors were selected as samples. The present study is mixed research with an exploratory approach, in which in the qualitative part, qualitative data collected using the opinions of 19 experts were analyzed using MaxQDA software and content analysis and coding methods. Then, in the quantitative part, the data was provided to the same sample in the form of a paired comparison questionnaire and analyzed using the fuzzy cognitive map method. The results showed that among the antecedents of interactive storytelling in digital marketing, immersion has the highest capacity for impact and persuasive story has the highest capacity for impact. Also, among the consequences of interactive storytelling in digital marketing, awareness of customer interests has the highest capacity for impact and personalization has the highest capacity for impact.