مطالب

The present study aimed to examine and validate a rubric for translation quality assessment using Rasch analysis. To this end, the researchers interviewed 20 expert translation instructors to identify the factors they consider important for assessing the quality of students’ translation. Based on the specific commonalities found throughout the interviews, a 23-item assessment rubric was constructed on a four-point Likert scale. More specifically, this study used the Rasch rating scale model for polytomous data to investigate the psychometric properties of the rating scale in terms of dimensionality, reliability, use of response category, and sample appropriateness. Then, a translation exam was administered to 60 translation students at the BA level in Iranian universities. Following this, the rubric was employed to assess the quality of students’ translation. The results revealed that the Rasch model fits the data well. Thus, the findings of the study indicated that the rubric is potentially valid and useful, and can be used as a measure of translation quality assessment in the Iranian context.

This study explores the use of influence strategies and social mechanisms by the manufacturer to achieve supplier flexibility. Major components of marketing research of previous studies related to influence strategies and measures flexibility in the supply chain context are used. This empirical study utilized 300 survey samples from senior management at Small Medium Enterprises (SME)s. Results show that using influence strategies has positive effects on supplier mix flexibility. Furthermore, the effects of trust on shared vision is positive on manufacturer flexibility.

The current strategies of increasing work-life quality are being given special attention by both public and private organizations. These quality strategies have arisen because of the highly competitive environment. Also, a safe and healthy work environment that provides the opportunities for employees to enhance their loyalty, affiliation and love towards their work and organization is required in order to achieve the current and future aspirations of the organization. Accordingly, this study aims to explore the direct relationship between the variables: the strategy of work-life quality, strategic agility and sustainable competitive advantage, to identify their indirect relationships with their own dimensions. In order to achieve this, a questionnaire was distributed to both heads of companies and their deputies in large and medium Yemeni manufacturing companies, using a random sampling technique to reach 227 companies out of 554 by distributing 454 questionnaires for the selected population. Cronbach’s Alpha coefficient and exploratory statistics were carried out to identify the quality of measurements used to examine the proposed theoretical method using SEM. The results of the study are that there is a direct relationship between the variables. Additionally, there is an indirect relationship between the independent variable (strategy of work-life quality) and the dependent variable (sustainable competitive advantage) using strategic agility as a mediator in Yemeni large and medium manufacturing companies. These findings ensure the validity of the proposed theoretical model. In addition, it fills the knowledge gap regarding this issue and the findings highlight the competitive challenges that Yemeni companies must be aware of.

Due to the global competitive environment in the mobile app market, traditional problem-solving methods in examining the problem of accepting stores offering these digital products have ignored the important role of human factors and therefore this weakness necessitates research on relevant policies by governing bodies from another perspective based on a soft systems thinking approach. This problem has structural complexities, and many stakeholders have different views on it. Therefore, using the methodological approach of soft systems can be a solution for this purpose. This research was applied, exploratory, and qualitative, and the statistical population consisted of 10 experts in the telecom industry, whose selection was made by purposeful judgment. Data collection tools were conducted in in-depth semi-structured interviews. The research findings lead to a conceptual and structured model for improving change, learning and helping to improve macro policies in this area.