Nowadays when suspicion and disTRUST are ruling the attitudes of most managers, there are a few organizations that can be proud of their favourite team working qualification, cooperation and TRUST in their cultures unfortunately. Managers should learn how some people can experience and understand other persons, groups and organizations TRUST to be able to create and strengthen TRUST among several sections. They should also learn how this TRUST grows through times. In other words, it is necessary to understand how other people can psychologically experience TRUST before its effects on the behaviour, expectations and the results coming out of the TRUST among the people of an organization have been analyzed.In this study the importance of TRUST in life and the organization has been mentioned by presenting some definitions of TRUST and its different aspects. Moreover, the effects of TRUST on other variables, organizations and working groups have been expressed and analyzed.The study shows that the experience of TRUST is evaluated by the reaction of values, attitudes, moods and emotions of people. Furthermore, by using a symbolic interactionist perspective, it explains how TRUST is being increased through times and how TRUST making can be proceeded in the organizations.

The 4th wave of the human-Computer interaction (HCI) refers to the entanglement of a new form of interactive process between humans and emerging technologies and their presence in today’s human life. With an emphasis on the emergence of artificial intelligence (AI), social robotics, virtual reality (VR), neural implants, cyber-physical systems, smart spaces, and autonomous vehicles (AVs), recent scientific literature has recognized the necessity of the human-computer interaction (HCI) 4th wave to show how human-machine interaction has turned into an ambiguous subject given human-technology boundaries. By reviewing, analyzing, and conceptually framing the literature, this study aimed to find possible relationships between the involved disciplines and architectural literature gaps. The obtained results can be used to (1) determine research gaps in the field of HCI from an architectural perspective to eliminate bias against emerging technologies, (2) theoretically explain how to design a virtual architectural space while considering those gaps, and (3) recommend a path for future studies. Given the research's goal and to develop the theoretical foundations, aiming at achieving a comprehensive concept that will go through the integration of the components of different fields of knowledge, systematic and content analyses have been used. The latent content and the thematic connection of the literature were analyzed using a structured and precise method. In the first stage, a broad range of literature with a rich variety of keywords was investigated, based on which the main keywords were extracted for final analysis and coding in three specific layers and different disciplines. To this end, 242 articles published between 2017 and 2022, as well as 21 doctoral theses published between 2019-2022 were reviewed. In the second stage, with the final screening, 73 articles were analyzed more closely using the thematic analysis method in MAXQDA and were categorized into 5 main codes and 17 sub-groups. The findings of the content analysis suggest that the level of knowledge of HCI and its subgroup in the 4th HCI wave is theoretically and practically evolving. Importance of HCI and its extensive use in different disciplines. This is because it accounted for 59% of the extracted content, followed by “TRUST” with 19%, indicating the importance of the subject. The low frequency of design codes can be attributed to anthropological factors because there is still limited information about the users' awareness, preferences, and needs, and how this matter affects the design of virtual architectural space. This relationship has been less architecturally discussed and thus lacks a comprehensive definition. Results Showed In this stage, building up TRUST through anthropologically designed environments can encourage further use of this new lifestyle. It should be considered that TRUST in technology and machines is volatile as it is a form of feeling that varies in different situations. This study emphasizes that anthropologically informed design in virtual and intelligent environments is essential for enhancing human-technology interaction and a design based on TRUST-centered anthropological approaches increases the chance of welcoming emerging technologies and interacting with virtual spaces

TRUST “ establishment (TE) among sensor nodes has become a vital requirement to improve security, reliability, and successful cooperation. Existing TRUST management approaches for large scale WSN are failed due to their low cooperation (i. e., dependability), higher communication and memory overheads (i. e., resource inefficient). This paper provides a new and comprehensive hybrid TRUST estimation approach for large scale WSN employing clustering to improve cooperation, TRUSTworthiness, and security by detecting selfish sensor nodes with reduced resource (memory, power) consumption. The proposed scheme consists of unique features like authentication based data TRUST, scheduler based node TRUST, and attack resistant by giving the high penalty and minimum reward during node misbehavior. A task scheduling mechanism is employed for scheduling the significant task to reduce computation overhead. The proposed TRUST model would be capable to provide security against blackhole attack, grey hole attack, and badmouthing attack. Moreover, the proposed TRUST model feasibility has been tested with MATLAB. Simulation results exhibit the great performance of our proposed approach in terms of TRUST evaluation cost, prevention, and detection of malicious nodes with the help of analyzing consistency in TRUST values and communication” overhead.

This is a study on the concept of social TRUST, a concept that has recently been enjoying an increasing vogue, yet it is not explored enough as far as women’s issues are concerned. Most sociological theorists attribute importance to the role of interactions and relations in establishing TRUST, and believe that alongside these factors TRUST finds its true meaning, and can be developed and reinforced.  Discussing women’s social TRUST, limitations on their social relations cannot be ignored. The Iranian patriarchal culture intertwined with prejudiced values, views women as representing dignity and honor of the family and men’s reputation. Therefore, through imposing several restrictions, men try to control women’s behavior as being in line with men’s mindset. Thus, such a system restricts women’s social relationships and prevents their presence in different social circles.In this research we study the role and impact of various factors, such as level and types of women's relations, fundamental TRUST and powerlessness feeling in respect to the social TRUST. We have conducted a survey with a statistical sample of 290 married women who lived in districts 3 and 16 of Tehran.  Results indicate a significant correlation between level and types of women's relations, fundamental TRUST, and powerlessness feeling with women’s social TRUST.

Introduction: Nowadays, TRUST is a vital factor for individual, organizational and social success and is considered as the main source of soft and effective power production in hard power diffusion coefficient. Therefore, the purpose of this study was to investigate TRUST-based behavior with respect to increasing public TRUST in sports elites. Methods: The present study is a mixed type (qualitative-quantitative) research method. Non-structured, semi-structured interviews as well as structured interviews were used. The statistical population included in the qualitative part 15 sport elites of the country and in the quantitative part there were 242 coaches, experts, elites and specialists of the Ministry of Sport. The research instrument was a researcher-made questionnaire based on interviews with all coaches, experts, senior and specialists of the Ministry of Sport, the Olympic Committee and the country's sports elite. Its validity was confirmed by several professors and experts. The reliability of the research instrument was obtained using Cronbach's alpha coefficient of 0. 832. The Komogorov-Smirnov test was performed to investigate the natural distribution of data, exploratory factor analysis using spss software version 24, confirmatory factor analysis using LISREL software. Results: The results showed that all factor loadings were higher than 0. 05 indicating convergent validity. Also, the values of the indices were above 0. 9, indicating good fit to the model. Conclusion: Findings indicate that public TRUST is related to macro level factors rather than micro level. An individual's assessment of the status of society is the most important factor affecting their level of public confidence.