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This paper discusses the application of the Technology Development Envelope (TDE) as a road mapping tool in combination with the Delphi method and the Analytic Hierarchy Process (AHP). The method helps policy and decision-makers in organizations strategically manage emerging technologies by mapping their anticipated development path. The paper focused on creating a Technology Development Envelope (TDE) for artificial intelligence (AI) technologies in the food industry. In the first step, an expert panel identified a list of AI technologies applicable to the food industry. A hierarchical decision-making model, comprising 5 criteria and 24 sub-criteria for technology evaluation, was extracted from the literature and validated using the Delphi method. The Analytic Hierarchy Process (AHP) was used to determine the relative importance of criteria and sub-criteria for evaluating the identified technologies. At this stage, the most important criteria considered were food safety and social and political acceptance of the technology. The expected value of each technology was calculated over different periods, resulting in the development of the Technology Development Evaluation (TDE) for AI technologies in the food industry within a ten-year horizon. The analysis of the future indicates that technologies such as computer vision, robotics, industrial automation, and machine learning will undergo continuous improvements over time and eventually become dominant technologies in the food industry. These advancements can lead to an increase in quality and efficiency within the food industry. Finally, sensitivity analysis was conducted to test the model's sensitivity and explore how policymakers' extreme strategies affect the model's outputs.

This study attempts to examine Tom Wolfe’s The Electric Kool-Aid Acid Test in the light of the ideas of Michel Foucault, specifically the notions of normalization, institutions, and surveillance that tackle the relationships among power, institutions, and literature. The analysis posits that, in the context of the 1960s, the American government took advantage of all the institutions which were supposed to guarantee the freedom of individuals to curtail their freedom. Seeking to create a normal, ordinary, and homogeneous society, these administrations have employed the police, law, prison, and other overlapping institutions that work in tandem to create circuits of institutions which guarantee to reduce  human beings to simpletons who are docile, meek, and ready to fit in place properly. The normality and ordinariness favored by the authorities are also implemented since the novel starts by depicting free individuals whose identities hinge on their being abnormal while it ends when their movement is shattered, and the protagonist is seen as a simpleton serving the forced labor sentence of the judges of both the government and normality. Freedom emerges as a mirage than truth as there seems to be no outside through which individuals can live outside the domination of controlling apparatuses.

Contrary to the traditional disciple-making efforts presented by commentators of mystical works, which aim to consolidate a fanatical attitude towards mysticism and hide any epistemological defects, these works have their own disadvantages, similar to any other knowledge system. One of these disadvantages is the categorization of "women," which, due to the continuation of the patriarchal worldview and the Mithraic origin of Iranian-Islamic mysticism, has been approached with a dogmatic and gender-oriented perspective. Therefore, within the mystical tradition, despite occasional praises given to women in Sufi works, they are generally regarded as symbols of evil passion, and the love for them is seen as figurative and lustful. In these instances, the mystical texts acknowledge their own stance, and, often in contrast to the efforts of their fanatical admirers, provide an opportunity for so-called "destructive" analyses. The present article examines the contradictions within the works of two renowned mystical poets, Attar and Rumi, specifically regarding their portrayal of "woman". By adopting a deconstructive approach, often utilizing textual evidence, it aims to highlight their patriarchal attitude. Consequently, it concludes that while researchers of mystical works have often attempted to absolve the mystic poets of their patriarchal or misogynistic gender-oriented views, the mystics themselves have not done so.

The role of the capital market is fundamental and decisive in the economy of all countries [6]. Studies show that in the capital market, prices are determined based on macroeco-nomic variables[2]. Accordingly, In this study is to provide a model for measuring the impact of economic policy uncertainty (EPU) on information asymmetryn.The research method is applied and has been made to present a model for measuring the effect of EPU on information asymmetry in the EVIEWS12 and MATLAB2021 software environment. The research time period is determined from 2011 to 2020 and 101 companies are selected based on the applied restrictions to estimate the model. In this study, 40 variables affecting EPU are entered into the According to the results of BMA, the most important variables affecting the EPU is provided[2]. Based on the principal components approach, the EPU index is calculated using the most important variables affecting this variable. Then, with the GARCH model, the uncertainty part of the EPU index is extracted, and finally, using the powerful nonlinear TVPFAVAR model, the shock caused by the EPU variable on the information asymmetry indices in the research period is analyzed. The results show that the shock caused by the fluctuation of the variable of EPU has increased the index of information asymmetry in recent years. Based on the results, EPU shock on the index of information asymmetry has had a stronger effect on in the short and long term information asymmetry than the medium term.

Communication plays a critical role in any sustainable plan or strategy. This meta-analysis was conducted to provide an overall perspective of the relationship between communication and organizational performance. A total of 999 articles in both English and Farsi were extracted from four databases. The random effects model was used to analyze the data. The analysis was done by CMA2 ) V2.2. 064 (. The results based on the random effects model illustrated that the degree of the relationship between communication and organizational performance is large, positive, and significant (R=0.745, CI=0.95 p=0.000%). Furthermore, "Research object", "publication year" and "country" were identified as moderator variables in this relationship. An important jump in the intensity of this relationship was detected from 2017. Moreover, a significant difference in the intensity of this relationship was observed in educational organizations with commercial and medical organizations, which can be useful for activists in these fields. The intensity of the relationship in the countries of China, Malaysia, USA, South Korea, and Iran have been evaluated as significantly different. Therefore, these results can open new horizons for future research and especially the localization of international research results.

Evidence-based policymaking stands at the forefront of contemporary governance, where data and evidence have emerged as indispensable allies in shaping effective and informed decisions. This article embarks on a comprehensive exploration of the challenges and critical issues encountered when data assumes the role of evidence in policy formulation. The foundation of this investigation is rooted in the extensive body of literature on evidence-based policy-making. We delve into the scholarly discourse, tracing the evolution of policy formulation from relying on intuition to being guided by empirical insights. As we navigate through this intellectual landscape, the crucial role of data as a catalyst for this transformation becomes apparent. Delving deeper, we will explore the intricacies of data and the rise of big data. Once regarded as mere numbers, data now represents the currency of the information age. Its volume, velocity, and variety characterize it, making it a powerful tool for generating evidence and formulating policies. As we explore its features, we uncover the potential of data to unlock unprecedented insights and inform governance with empirical precision. To conduct a comprehensive examination of the difficulties encountered when utilizing data as evidence in policy-making, we employ a rigorous scoping review methodology. Through meticulous screening, we have identified and analyzed 36 exemplary articles that offer invaluable insights into the multifaceted landscape of data-driven governance. These articles provide a comprehensive overview of the challenges, which can be grouped into three distinct clusters: technical challenges arising from data complexities, legal and privacy dilemmas intertwined with governance, and the formidable issues faced by policymakers. Our discussion unravels the intricate web of challenges, ranging from data quality and integration to confidentiality, ethics, and governance issues. We delve into the intricacies of data access, the fight against bias, and the challenges posed by data volume and complexity. Simultaneously, we explore the complex legal landscape of data ownership, security, sharing, and compliance. The challenges policymakers face in fostering data-driven cultures, navigating resource constraints, and communicating data-driven insights are brought to the forefront. In conclusion, our exploration sheds light on the complex challenges and crucial issues that underlie the use of data as evidence in evidence-based policy-making. This research underscores the transformative power of data in governance and emphasizes the challenges and pressing issues associated with using data as evidence in policymaking.

The purpose of the study is to design a new behavioral model of blockchain technology acceptance in public banks through content analysis. Therefore, based on the theoretical literature and behavioral theories of technology acceptance, the primary conceptual model was presented. Then, by interviewing experts selected by snowball method, the relevant model was finalized. Theoretical validity and interpretive validity methods were used to measure the validity of interviews. To check the reliability of interviews, the test-retest reliability method has been used. The validity of the factors was checked through the Delphi technique and with fuzzy calculations. According to the results, four main factors of the behavioral model are: people, environment, organization, and technology. Totally 10 sub-factors and 36 indicators were identified. This model can contribute to public banks to understand how these various factors interact with each other and how they can be improved to achieve higher acceptance of blockchain technology.