اسماعیل مزروعی نصرآبادی

The Internet of Behavior (IoB) represents an evolution of the Internet of Things (IoT), utilizing behavioral data to enhance decision-making and service delivery. By integrating technology, data analytics, and behavioral science, IoB provides a robust framework for predicting and influencing human behavior. This technology is particularly transformative in the healthcare sector, where it leverages data from wearable devices and other digital tools to offer comprehensive insights into patients' physical and behavioral health. Such data facilitates accurate diagnoses, preventive care, and personalized treatment plans, especially for individuals with chronic conditions or the elderly. Despite its potential, the implementation of IoB in healthcare presents significant ethical challenges. These include concerns about privacy, data security, transparency, behavioral manipulation, equity in access, and the psychological and social consequences of continuous monitoring. Addressing these ethical issues proactively is essential to maximizing the benefits of IoB while mitigating its risks. It is imperative that the deployment of IoB technologies in healthcare does not compromise patients' dignity or lead to a perceived loss of independence, control, and privacy. Additionally, reliance on algorithms for IoB data analysis should not diminish human oversight in healthcare decision-making. To address these concerns, healthcare organizations must establish ethical protocols, including stringent security measures, informed consent procedures, and robust data protection strategies. Ensuring the secure and responsible use of patient data is critical to maintaining trust in IoB systems. Future research should prioritize the exploration of these ethical challenges, particularly focusing on the psychological and social impacts of continuous monitoring.

In an expansive test of nations over distinctive geographic districts and over a long period of time, we discover restricted nation and variable-specific impacts of central bank straightforwardness on figure exactness and their scattering among an expansive set of proficient figures of monetary and macroeconomic factors. More communication indeed increments estimate mistakes and scattering. So the aim at this study is a systematic review of central bank transparency and capital market reaction. This study was conducted using a systematic review. At first all papers (n=165) related to keywords (capital market reaction and central bank transparency) searched for Persian and English databases; Google, Google scholar, PubMed covering the period from 2012 through 2022 was performed. Then all qualitative and quantitative papers related to central bank transparency selected and analyzed (n=28). As a result to inclusion and exclusion criteria, papers related to central bank transparency were found and analyzed (n=28). Predefined inclusion and exclusion criteria were: papers related to central bank transparency, papers were Persian and English, types of papers were original and all the papers were free full text. In the initial search, 165 papers were found that after reviewing the titles and abstract articles and removing repetitive and non-related, 54 possible related articles were investigated. Of these, 31 papers were omitted from the abstract because of lack of access to the original article and lack of sufficient information. Finally, 28 papers were included in the study. There are very few studies that have examined the effect of central bank transparency on capital market turmoil. The effect of central bank transpar-ency on the domestic capital market has not been studied. There is no agreement in the literature on theoretical discussions on whether increasing central bank transparency affects capital market turmoil. In foreign research, we can also refer to the study of Dinser and Eichngreen (2007) who have studied this effect empirically using the main transparency index. The pre-sent systematic review shows that almost whole of papers on central bank transparency and capital market reaction highlighted similar findings con-cerning monetary policy decisions.