جستجوی مقالات مرتبط با کلیدواژه "structural equation modeling" در نشریات گروه "فناوری اطلاعات"

This study investigates the role of psychological capital (PsyCap) in enhancing the effectiveness of e-learning systems with a focus on organizational infrastructure at Mellat Insurance. The study aims to explore how the key components of PsyCap—self-efficacy, optimism, hope, and resilience—affect employee engagement, adaptability, and learning outcomes in an organizational context, particularly within e-learning frameworks. The research utilized a descriptive-survey method, with a focus on structural equation modeling (SEM) to examine the relationships between psychological capital and organizational factors influencing e-learning systems. A sample of 395 participants from Mellat Insurance was selected using random sampling based on Cochran’s formula. Data were collected through a structured Likert-scale questionnaire validated by experts and tested for reliability using Cronbach's alpha. The data were analyzed using both descriptive and inferential statistical methods, including bootstrapping and SEM, with the aid of SPSS and SmartPLS software. The results confirmed a significant relationship between psychological capital and the effectiveness of e-learning systems. The standardized factor loading for the impact of e-learning infrastructure on external organizational factors was 0.734, with a t-statistic of 3.478, indicating a statistically significant relationship. Moreover, psychological capital was found to mediate the relationship between e-learning adoption and employee adaptability, reducing job-related stress and burnout. The findings align with previous research, highlighting PsyCap's role in fostering innovation, resilience, and engagement in both educational and organizational settings. Psychological capital plays a critical role in improving e-learning systems' effectiveness by enhancing employee engagement, adaptability, and overall organizational performance. Organizations that invest in developing their employees' psychological capital are likely to experience better learning outcomes and reduced stress, leading to improved innovation and productivity.

Demand planning based on demand data in the supply chain includes the most significant steps in production planning. Therefore, the supply chain's correct demand forecasting may reduce this effect, known as the bullwhip effect or uncertainty concerning customer demand, thus reducing companies' and organizations' costs and surplus activities. Therefore, this article examined the statistical population characteristics to test the hypotheses through the path analysis drawn using descriptive statistics and FCM(fuzzy cognitive map)  method. Then, the model strength was investigated using structural equation modeling (SEM) in AMOS software, and structural equations were presented. This article selected the Aftab oil factory as a case study. The findings of this study emphasized that demand management performance is highly essential for industries. Companies can design the sector independently as a demand management sector for evaluating customer demands at different levels of the supply chain. According to the fit of the main model, CFI and NFI indices are equal to 0.99 and 0.97, respectively, which are close to the optimal fit threshold. RMSEA and SRMR indices are equal to 0.01 and 0.01, respectively, both showing a relatively good fit of the model.

Brand personality has always been considered by researchers as an important factor in branding studies. Therefore, the present study has been conducted to evaluate the effect of brand personality on factors related to the brand-customer relationship (brand commitment, attachment and trust). The research model is based on the data collected from 400 questionnaires that have been distributed and collected among the costumers of Irtoya brand - Toyota representative in Iran - in Tehran by sampling method. Its validity been confirmed by various methods including factor validity, content validity, and face validity, and its reliability by Cronbachchr('39')s alpha method, test-retest, and split half method. It has been tested based on structural equation modeling (SEM). The results of this study show that brand personality affects brand trust and attachment directly and affects loyalty indirectly. Also, the results show that brand attachment and brand trust directly affect brand loyalty. However, in this study, the effect of brand trust on brand commitment, as well as the effect of brand commitment on brand loyalty, was not confirmed.  The factors studied in this study are known as the main factors of customer relationship with the brand, so if marketers need to create this relationship, it is better to use these factors in a great way.