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Showing 3 results for Structural Equation Modeling
Mani Shojaie, Dr. Hamidreza Saeednia, Dr. Zahra Alipour Darvish,
Volume 11, Issue 1 (9-2020)
Abstract
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 Cronbach'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
Mr. Milad Rezaeefard, Dr Nazanin Pilevari, Dr. Farshad Faezy Razi, Prof. Reza Radfar,
Volume 13, Issue 2 (12-2022)
Abstract
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.
Mobin Sabbaghi Rostami, Saber Khandan Alamdari, Mohammad Hadi Asgari,
Volume 17, Issue 1 (5-2026)
Abstract
Objective: Given global reports of 92% failure of blockchain projects, this study aims to quantitatively validate the challenges of adopting this technology in the Iranian supply chain. The main research question is to explain why, despite its many theoretical attractions, Iranian organizations have failed to move from theoretical discussions to operational implementation and where the roots of this failure lie.
Methodology: This study was conducted with a quantitative approach and survey strategy. The required data were collected through a researcher-made questionnaire with a Likert scale and cluster sampling method from experts and activists in the supply chain field. The validity of the measurement tool was assessed using confirmatory factor analysis and its reliability was assessed by calculating Cronbach's alpha coefficient. In the inferential statistics section, structural equation modeling (SEM) was used to validate the conceptual model of the research, and a single-sample t-test was used to examine the current status of each of the components under study in the statistical population.
Findings: The results of confirmatory factor analysis showed that "legal and legal barriers" with a factor loading of 0.64 play the most decisive role in the formation of acceptance challenges. However, the analysis of the current situation showed that "organizational and cultural factors" with a mean of 2.125 and a negative t-statistic (-3.25) are considered the most critical weakness and main bottleneck in the Iranian supply chain. The findings indicate that while "perceived benefits" are at the highest level, severe weakness in organizational culture and professional readiness prevents this positive perception from being converted into implementation.
Conclusion: The findings of this study explain that the root of the high failure rate of blockchain projects lies not in technical flaws or lack of perception of usefulness, but in the deep gap between the perception of benefits and the incompetence of the organizational structure. For senior managers, these results mean that investing solely in hardware infrastructure without rebuilding organizational culture and specialized training of employees will lead to the inevitable failure of projects. It is suggested that organizations, before entering the technical implementation phase, develop change management strategies to reduce employee resistance and improve technical knowledge at different organizational levels.
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