مطالب

The present study was aimed at exploring the use of pronominal reference for identity representation in terms of power and solidarity in English political discourse. The investigation was based on a corpus of four political interviews and debates amounting 26,500 words. The analysis was both qualitative and quantitative. In the qualitative analysis, a discourse-analytic approach was used to find out the pronouns, their references and their identity load, and in the quantitative analysis, the distribution of different representations of identity were calculated. A nonparametric test, that is, Chi-Square was run in SPSS as the statistical operation needed for the current study. The analysis showed that most of the personal pronouns represented identity in the form of solidarity. The results also showed that political figures use <em>I</em>-pronoun and its variants to represent their identity in terms of power. The representation of identity in terms of power was also found to be correlated with the use of certain terms such as <em>veto</em> and active voice constructions. Furthermore, the results showed that when making claims, instead of giving pronominal reference to self, political figures use first-person plurals. In order to show solidarity, the speakers may also make use of discoursal proximity. Considering the important role that discourses play in constructing reality, it is important for CDA researchers to reveal sources of power, inequality and prejudice in discourses and interpret their hidden meanings. Pronominal choice and academic voice as linguistic constructions that are ideologically loaded need to be brought into the spotlight.

The present study aimed to investigate the impact of supply chain innovation on performance through the mediating role of strategic agility. The statistical population of this research consists of all employees and managers of the food industry in Tehran. Necessary data were collected with a standard questionnaire from 70 food industry managers who were selected by simple and easy non-probability sampling. The least squares method and SMART PLS software were used to analyze the model. The results of testing the hypotheses indicate the positive effect of supply chain innovation on firm performance and the positive effect of supply chain innovation on strategic agility was also confirmed. Strategic agility also had a positive effect on firm performance.