جستجوی مقالات مرتبط با کلیدواژه « trust » در نشریات گروه « مدیریت »

To achieve the full potential of digital transformation, retail companies must use digital platforms to drive significant innovation in the retail industry. Millions of people participate in retail platforms. But a holistic model that explains the formation of consumer value co-creation intentions in such platforms is less available. Considerable research points to the proactive roles consumers play in the creation of value for companies. The concept of co-creation was an extension of the idea. Developed by researchers interested in user driven product innovation. As the co-creation efforts they studied demonstrated impressive increases in value, the phenomenon garnered considerable attention outside the innovation field in which it spread to marketing and, more recently, to branding. In the case of branding, co-creation expands to embrace other stakeholders than consumers. Merz and Vargo, Christodoulides and Gregory have all equated co-creation with the era of stakeholder-focused branding, with Merz and Vargo calling co-creation ‘a new brand logic’. Meanwhile, Ind and Bjerke defined stakeholder participation in brand co-creation as an issue of brand governance, largely because it implies that organizations share control over their brands with stakeholders. These studies indicate that co-creation resonates with an ever-increasing number of scholars who take the view that brand meaning and value(s) emerge from stakeholder engagement with a company. However, in spite of the importance these researchers place on considering all stakeholders to be co-creators, the only stakeholder groups branding researchers have empirically examined thus far have been consumers and marketers. Thus, the work of describing how brands are co-created with their stakeholders has barely begun. The purpose of this study was to develop and test a holistic model that explains the formation of customers' value co-creation intentions in Iranian retail platforms.

Since these indicators have a large measurement error, using a conventional regression model may lead to an estimation error. As a result, the structural equation approach, which is able to process measurement errors in addition to determining the structural relationships between hidden variables, is a more suitable option for the present study. Therefore, in order to analyze the data, Smart PLS software and the method of structural equations were chosen.

Relying on the relationship quality theory literature, value co-creation literature and relationship marketing literature, we proposed a theoretical model that explains the formation of customers' value co-creation intentions. We analyzed empirical data collected from 101 customers on the Digikala platform using structural equation modeling and confirmed 7 out of 10 hypotheses.

The results show that in retail platform, trust and satisfaction influence value co-creation intentions, however, commitment does not influence value co-creation intentions. Our study contributes to the sharing economy literature by providing a comprehensive model of the antecedents of consumers' value co-creation intentions.

The aim of this research is to identify and stratify the factors affecting sustainable human resource management in order to implement it effectively using structural interpretive modeling (ISM).

The current research is applied in terms of purpose and exploratory in terms of method, which was done in a mixed qualitative and quantitative way. In the first phase of the research, the meta synthesis method was used. In the second phase and the quantitative part, Interpretive Structural Modeling (ISM) method was used to level the factors and identify the most influential components.

According to the results obtained from the research, 7 components and 43 indicators were identified and validated for this purpose.

The results of this research indicate that the components of stakeholder pressure, government policies and regulations, factors related to human resources policy, cultural factors, and factors related to employees are interrelated variables; These variables have high dependence and high guiding power, in other words, the effectiveness and effectiveness of these criteria are very high and any small change on these variables causes fundamental changes in the system. Since the components that are determined as outputs in the last iterations will be more effective in terms of the interpretive structural equation method, therefore the components of government policies and regulations, and economic factors will be more effective and in order to achieve the implementation of sustainable human resources management. You should pay attention to these factors.

The purpose of this study is to investigate the impact of perceived internet risk, customer self-efficacy and platform on the intention of continuous online shopping with the mediating role of privacy stress and trust in the brand (case study: customers of online shops). The current study is applied in terms of purpose and descriptive-causal in terms of nature. The statistical population includes all customers of online shops in Fars province. Data is analyzed descriptive statistics (using SPSS software) and inferential statistics (using PLS software). The findings confirm all hypotheses and model fittness. The results show Corona epidemic and the uncertainty of its consequences have caused people to become interested in online shopping. It seems that the previous findings on stress/concern/ privacy concerns are not appropriate. In the new context of epidemic, these findings add a new perspective on understanding the issue of privacy. Trust is a mediator and its importance is because it shows the need to build and maintain trust in the online environment. When it comes to mutual relationships between the consumer and the seller, it is important for the consumer to trust the seller to accept the possible risk. This means that online sellers should make continuous efforts to build trust rather than taking it for granted.

Although life insurance plays a fundamental role in the growth and welfare development of countries, compared to the world average, buying life insurance has a low share in Iranian society. In this situation, improving the insurance literacy of the society can help to stimulate positive insurance tendencies. However, few studies conducted in Iran have focused solely on measuring insurance literacy, and little is known about the effect of insurance literacy on the willingness to purchase and maintain life insurance policies. Therefore, this study investigated the direct and indirect effect of consumers' insurance literacy on life insurance purchasing decisions to fill this gap. This study is applied concerning its intended audience and employs a descriptive-survey approach. The research's statistical population consisted of 98,625 individuals who purchased life insurance from Sarmad Insurance Company. The sample size was determined by Krejcie-Morgan table of 384 people. The research tool included a standard questionnaire that was distributed through an online survey using systematic random sampling. Data analysis was also performed by structural equation modeling and path analysis with Smart PLS 3. The findings showed that insurance literacy directly and indirectly through increasing benefits and reducing perceived risk, as well as improving consumers' confidence in insurance and strengthening their favorable attitude, increases life insurance purchase intention. Insurance companies can have a significant impact on choices through consumer choice architecture. Therefore, policy makers must ensure that insurance literacy is included in the educational programs of the people of the society.

Changes in the global economy have led to the internationalization of corporate relations and subsequently the phenomenon of intercultural communication. Therefore, ensuring the success of companies without understanding how to trust and collaborate in different cultures can be challenging and difficult. In this regard, the present research was conducted with the aim of identifying the antecedents of trust-based collaboration in a cross-cultural context. The research is applied in terms of purpose, and in terms of method, it is an exploratory research that was conducted with a qualitative approach. The participants in the research were 11 senior managers in the international trade department of Iranian and Chinese automobile companies who were selected using a targeted method. The data obtained from semi-structured interviews were analyzed by theme analysis method. Based on the results, the antecedents of trust-based collaboration in the cross-cultural context are: macro environment factors, gaining international credit, cultural intelligence, organizational factors, managerial factors, cultural sharing, human resource competence, international relations, organizational processes, effective targeting and cultural differences. According to the findings, clarifying the goals of the parties, adhering to commitments and honesty were identified as the most frequent codes that provide insight to policymakers and managers to improve international business interactions.

Consumers' behavior is different when using human-imitating smart products. The purpose of this research is to investigate the effect of interaction with smart voice assistant and perceived risk and brand authenticity on trust as a mediating variable and their effect on brand loyalty. The statistical population of this research consists of 156 Iranian consumers of smart voice assistants, who were tested using a questionnaire. Data analysis was performed using SPSS 26 and Smart PLS 3 software to test research hypotheses.The findings showed that the effect of interaction with the smart voice assistant and brand authenticity on trust is positive and significant. The effect of perceived risk on trust was not significant. Interaction with the smart voice assistant had not a significant effect on brand loyalty, but brand authenticity and trust had a positive and significant effect on brand loyalty. Overall. the results indicate that the factors influencing the creation of trust and loyalty have changed in the age of artificial intelligence. Interaction with voice artificial intelligence has different results than interaction elsewhere, and also reducing the perceived risk of using artificial intelligence does not create trust. However, brand authenticity is very important in the world of artificial intelligence .

This research has studied the validation of the conceptual model of the social capital of the Iranian police with the aim of identifying and determining the components of the social capital of the Iranian police and strengthening it in the organizational plans and procedures of the police. The results of the research findings of others regarding the prevention of the erosion of the social capital of the Iranian police and the strengthening of this capital have useful results in strengthening the relationship between the police and the people, and its consequence is the general provision of the general security of the society, the basis of other social subsystems, and many problems and issues of policing and It reduces the security of the country with the participation of the people.

The research method was a bit of a survey. In terms of purpose, it has been applied and in terms of nature, it has been descriptive-correlational. The statistical population includes all citizens of Tehran over 18 years of age, and according to Morgan's table, 384 people were selected and according to the multi-stage cluster sampling method, the required information was collected from the statistical sample using a questionnaire tool. For the reliability and validity of the tool, exploratory and confirmatory factor analysis had an acceptable statistical adequacy. In the analysis of data, using Lisrel software version 8/5, the structural validation of the social capital of the Iranian police had an acceptable statistical fit.

The results of the social survey to validate the social capital of Iran's police using the model of Lisrel's structural equations and its output in the first and second order, showed that five structural variables: 1. the credibility and social dignity of the police, 2. the legitimacy and social acceptability of the police, 3. Police authority, 4. People's social participation with the police and 5. Social trust in the police, include the structural factors that build the social capital of the Iranian police.

The matrix of multiple relationships between these five structural variables has reliability and reliability in terms of statistical correlation and has a very good statistical fit. Therefore, the components and indicators of the social capital of Iran's police are theoretically and from the perspective of validating the conceptual model, scientifically and methodologically, it has the ability to be generalized in the whole country.

Todays, tax revenues play an important role in financing governments. The issue of increasing tax revenues and possible ways for this increase is an attractive issue for governments. Especially in a single-product economy like Iran, whose main source of income is the volatile and unpredictable oil income. This research aims, while briefly introducing the presented models and classifying them, effective factors in increasing tax revenues and evaluating public trust and participation in the field of taxation have been examined and identified with a meta-integration approach, and the main components of this model include legal factors, social factors, there are cultural factors, managerial factors, political factors and managerial factors. Then, in order to better understand the variables affecting this relationship and understand the existing dynamics, using the approach of system dynamics modeling and drawing causal-loop diagrams (CLD), a model for evaluating trust and public participation in the field of taxation is presented and finally simulated so It was done by Vensim software. The simulation results indicate the positive effect of economic factors on public trust and participation in the tax field, with the point that the effect of economic factors is greater than the simultaneous application of all components.

The current research has been conducted with the aim of investigating the factors affecting customer trust in using electronic banking services of Abhar Tose'e Ta'avon Bank. This research is considered applied in terms of its objective and uses a survey method for data collection. The purpose of this article is practical and it used the survey method or questionnaire to collect research data.The statistical population of the study consisted of all customers of Abhar Tose'e Ta'avon Bank who have used electronic banking services. The sample size was estimated to be 384 individuals using Cochran's formula for an infinite population. The hypotheses of the research were tested through structural equation modeling using LISREL software. The results showed that perceived security, social penetration, individual skills, and perceived compatibility have a positive and significant impact on trust in electronic banking services. Furthermore, the results indicated that perceived security has a positive and significant effect on social penetration and individual skills. On the other hand, social penetration and perceived compatibility play the role of mediator variables in the relationship between perceived security and individual skills with trust.Keywords: perceived compatibility, perceived security, individual skills, social penetration, trust.

The purpose of this research was to design the model of organizational virtue along with identifying and prioritizing dimensions, components and indicators and validating the proposed model of organizational virtue with a qualitative approach in the Ministry of Keshavarzi Jahad. The method of conducting the present research is a mixed method (qualitative-quantitative) and the statistical population was 12 experts who were answered using the interview tool. In this research, in order to analyze the data in the qualitative part of the method Theme analysis (theme analysis) was used, and based on the results, the research pattern according to the output of Atlas T software, including 1 overarching theme (organizational virtue model with a qualitative approach in the Ministry of Jihad Agriculture) and 7 organizing themes (health, responsibility, trust, forgiveness, justice-oriented, cohesion, opening horizons) and 24 basic themes (financial health, moral health, work health; social responsibility, economic responsibility, legal responsibility, environmental responsibility; honesty, transparency, goodwill , competence; sympathy, sacrifice, kindness; justice in the establishment of laws, justice in the implementation of laws, justice in relationships between people; harmony, adaptability, solidarity; optimism, fulfillment of obligations, happiness, growth.

The purpose of this study is to investigate the effect of violation of psychological contracts on citizenship behaviors of customers with regard to the mediating role of trust among clients and customers of a hospital in Hamadan province. For this purpose, For this purpose, 210 people were selected using the method of determining the sample size in multivariate regression analysis. Questionnaire was used for data collection and its reliability and validity were assessed by Cronbach's alpha and confirmatory factor analysis. The conceptual model of the research was measured using the structural section of the structural equation model called path analysis.The results showed that the breach of the psychological contract has a strong relationship with the violation of the psychological contract and a breach of the psychological contract can lead to a violation of the psychological contract. This feeling of a hospital's non-adherence to psychological contracts distorts the perceptions and attitudes of patients as customers regarding their reliability, honesty, and good intentions in order to meet their interests and needs, and regarding the hospital's ability to fulfill what it promises. It is the basis of patients' lack of trust towards a hospital. Also, this lack of trust created towards a hospital can cause negative citizenship behaviors such as not providing feedback, not helping other patients, and not praising and promoting that hospital positively to potential customers.

Recently, the Internet has played a significant and substantial role in people's lives. However, the content available in the global web environment should align with users' daily needs, providing them with useful and up-to-date information tailored to their tastes. In this context, recommender systems assist users by suggesting items that closely match their preferences in less time. Today, with the exponential growth of data, the utilization of recommender systems has surged. Conversely, these systems encounter challenges such as evolving user preferences over time, cold start problem, sparsity within the user-item matrix, the infiltration of fake users in the systems, and their adverse impact on the recommendation lists.The objective of this paper is to propose a recommender system grounded in time and trust factors to enhance the efficiency and precision of system recommendations. Initially, the proposed system addresses the data sparsity dilemma by incorporating reliable implicit ratings into the user-item matrix. Subsequently, it constructs a weighted user-user network based on user rating timestamps and trust relationships among users, thereby mitigating the cold start problem and accounting for changing user preferences over time. The proposed recommender system employs a novel community detection algorithm introduced in this paper to identify the nearest neighbors of active users and recommends the top @k items based on the collaborative filtering approach. Evaluation results of the proposed system, tested on a film recommender system using the Epinions dataset, demonstrate its superior efficiency compared to basic systems.

Traffic police need people's support to fulfill their important mission, which is to enforce traffic rules and regulations. One of the factors that make people follow traffic rules lies in social trust in the police. One of the aims of this research is to investigate the social trust of the people towards the police officers in obeying the traffic rules in the city of Tehran. This study is a descriptive-analytical survey. The statistical population of the research was in the south of Greater Tehran in 2022, of which 384 people were selected as a sample by multi-stage cluster sampling method and the designed questionnaire was provided to them. The obtained information was analyzed through structural equations and least square methods using SMART PLS 2 software. The findings showed that the components of social trust in the police, including the police's trustworthiness, the police's ability and efficiency, satisfaction, the dignity of the police, the social police's dignity, good manners and appropriate treatment, and the police's popularity in following traffic laws have a significant effect, and in the meantime, after acceptance, with an effect have a negative Beta (0.483), ability and efficiency (0.215) and social dignity of the police (0.137) respectively have the greatest impact on following traffic rules. The results showed that by using the components of social trust in police officers, it is possible to predict 73% of people who depend on traffic laws. Therefore, the traffic police can increase the compliance with traffic laws by strengthening the social trust components of the people towards the police.

Health tourism has become a big industry in the last decade, and following the increase in health tourism, the decision-making process of consumers and the factors affecting the marketing of health tourism have become very important for researchers.The aim of the present study is to present a comprehensive model of the components affecting health tourism. In this research, an attempt was made to analyze and investigate the factors affecting health tourism marketing in Tehran. The present study is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population of this research includes people who have referred to Tehran medical centers for treatment. In order to determine the sample size, due to the lack of statistical population, Cochran's formula was used for the unlimited population and the sample size was estimated at 384 people. The validity of the research tool was calculated using the confirmatory factor analysis model and its reliability was calculated using Cronbach's alpha. Data analysis was done using SPSS and Lisrel software with descriptive statistics and structural equation modeling. The findings showed that the quality of services had a significant impact on health tourism marketing in Tehran. In addition, the findings indicated a positive and significant effect of price on health tourism marketing in Tehran. The findings of the research showed that easy access has a significant and positive effect on the marketing of health tourism in Tehran, and credibility and trust also have a significant and positive effect on the marketing of health tourism in Tehran. Finally, the findings of the research indicated the positive and significant impact of regulations and legal framework on health tourism marketing in Tehran

The present study sought to investigate the effect of marketing strategies on online shopping evaluation and explain the role of perceived risk, trust, and customer purchase intention.

This study is an applied-developmental one in terms of its objective and of survey type concerning its data collection method. The statistical population of this study consisted of the customers of Digikala website in Rasht who had purchased through this site at least once. Out of this population, a sample of 399 people was selected by convenience sampling. For data collection, a standardized 44-item questionnaire was designed. The validity of the questionnaire was verified by the experts and advisors and its reliability was also confirmed by Cronbach's alpha coefficient, which was above 0.7. In addition, the analysis of the obtained data and research hypothesis tests were carried out through descriptive and inferential statistics using SPSS 22 and Amos 22 software.

Results showed that product marketing strategies have a significant impact on price and product quality risks. Online store marketing strategies have also a significant effect on quality risks but not on security risks. It was also found that product price risks and product quality risks have a significant impact on each other. It was also shown that product quality risks and quality risks have a significant impact on each other. In addition, price and product quality risks have a significant effect on customer trust in the product and quality and security risks have also a significant impact on customer trust in the store. However, customer trust in the product and store does not have a significant effect on online purchase intention. Finally, online purchase intention was found to have a significant effect on online shopping evaluation.

This research examines the effect of perceived usefulness, ease of use, enjoyment, trust and social influence on intention to use with the mediating role of consumer attitude. The research is descriptive and survey in terms of practical purpose and in terms of how to collect information. Research data has been collected through five-choice Likert questions included in the research questionnaire. In this research, in order to analyze the data obtained from the questionnaire, according to the statistical needs, SPSS.V24 statistical software and pls.V3 structural equation software were used in the form of descriptive and inferential statistics in the form of linear and multiple regression. The research population includes the number of solar household electricity customers in Yazd, which is 730 people. In order to calculate the required sample size for the research using Cochran's formula, 384 people have been obtained at a confidence level of 5%. The study sample was collected by available methods. The results of the research showed that the variables of the research results show that the variable of perceived usefulness on the intention to use solar household electricity with the mediating role of the attitude of the customers (0.203), ease of use on the intention to use Household solar electricity customers with the mediating role of customers' attitudes (0.228), enjoyment of the customers' intention to use household solar electricity with the mediating role of customers' attitudes (0.114), trust in the customers' intention to use household solar electricity with the mediating role of customers' attitudes (0.117) Social influence on customers' intention to use household solar electricity with the mediating role of customers' attitude (0.303), customers' attitude on customers' intention to use household solar electricity (0.190), perceived usefulness on customers' intention to use household solar electricity (0.136), ease of use On customers' intention to use household solar electricity (0.107), enjoyment on customers' intention to use household solar electricity (0.271), trust on customers' intention to use household solar electricity (0.364), social influence on customers' intention to use (0.132) Household solar electricity has a significant impact.

In today's world, it can be said that artificial intelligence has also affected the banking industry and has revolutionized many banking processes. The current research was conducted with the aim of "investigating the impact of perceived convenience, personalization and improving service quality on the formation of customer experience from the use of artificial intelligence through the intermediary variable of trust". The statistical population of this research is an unlimited number of customers of agricultural banks in Lamard city It is considered that 384 people have been considered as a sample by using the sampling done by Morgan's table. The measurement tool of this research was a standard questionnaire (Amin et al., 2019). After collecting the questionnaires, due to non-normality, the research data were analyzed using SMART PLS 3software. The results of the analysis showed that perceived convenience, personalization, improvement of service quality have an effect on customer trust, perceived convenience and improvement of service quality have an effect on customers' experience of artificial intelligence .

One of the most important management tasks is deciding on selling prices. Given the growing competition among firms and their slow growth in attracting new customers, companies are looking for new ways to boost their sales. Price is also very important as one of the four marketing mixes. The most important point that managers should pay attention to is consumers' perception of fair prices. If consumers find the prices unfair, they show negative reactions. Therefore, a factor influencing the intention of consumers to buy is their perception of price fairness. On the other hand, in recent years, due to rising costs and ticket prices, air travel on short routes has decreased to a rather large extent. In this regard, the main purpose of this study is to show how the perception of price fairness affects behaviors and intentions in airlines. Another purpose of this study is to investigate the mediating roles of the variables of trust, satisfaction and perceived transaction dissimilarity and the moderating roles of familiarity and travel purpose on this relationship.

This research is applied in terms of purpose and descriptive-survey in terms of data collection and analysis. The measurement tool was a questionnaire. For each of the research variables, a valid questionnaire of previous researches was used. In order to assess the reliability of the questionnaire, Cronbach's alpha test and valid Kolmogorov-Smirnov test were used to test the hypothesis of normal research data. The statistical population included the customers of Mehrabad Airport in Tehran who paid for the ticket themselves. The sample size of this study was 384 people. A structural equation model (SEM) was used to investigate the causal relationships among the variables, and the Amos software served to analyze the data. To express the acceptability of the model, Bentler-Bount standardized fit indices, relative fit, incremental fit, Tucker-Lewis, adaptive indices and full squares were used.

In this study, the KMO index and the Bartlett test were used to test the adequacy of the sample size, which was confirmed for analysis. With respect to the level of significance and the impact factor, it was found that the perception of price fairness has no significant effect on customer behavioral intentions. On the other hand, the findings showed that, by increased trust, the perception of price fairness can affect the behavioral intensions of customers. It was also shown that this leads to increased customer satisfaction and trust. Moreover, customer satisfaction directly affects customer behavioral intensions and increases brand trust. The other findings of this study showed that Perceived Transaction Dissimilarity both directly and indirectly through the mediation of trust affect customer behavior intensions. Because the effect of fair price perception on customers' behavioral intensions was rejected, Hypotheses 9 and 10, which examined the moderating role of travel purpose and familiarity, were not examined. Therefore, in summary, out of the ten hypotheses of this research, eight were confirmed and two were rejected.

According to the results of this study conducted about how perception of fair price affects behavioral intensions through customer satisfaction and trust, it is suggested to airlines to gain customer satisfaction and trust with their pricing strategies so that they can encourage the customers to buy from that brand. Fairness price, especially in Iran and in difficult economic conditions, can determine customer trust and satisfaction, but it can not necessarily affect customer behavior without creating trust and satisfaction alone. Also, according to the findings of this study, the greatest impact on behavioral intensions is through increasing trust, so it is suggested, in the first place, to increase trust in the company in various ways. Perceived Transaction Dissimilarity has been found to have a direct effect on behavioral intensions, so it is suggested as something more tangible and understandable to the customer. The findings also refer to the effect of more than 90% of the perceived difference on the perception of price fairness. In order for the customer to have a higher perception of fairness, airlines should try to increase the Perceived Transaction Dissimilarity from the price increase. One of the limitations of this study is the statistical population that consisted only of passengers of the domestic flights to and from Mehrabad airport who paid for the ticket themselves. It is suggested for future research to study the effect of fair price perception on the behavioral intentions of travelers whose tickets are purchased in their workplace.