درخت حوزه‌های تخصصی

This study aims at investigating the effects of the change in the information environment from risk to ambiguity, disclosure dynamics, and the ambiguity aversion behavior of investors on the disclosure of integrated information for selected corporates operating in digital industry listed on the Tehran Stock Exchange during 2012-2022. The corporate voluntary disclosure lag, stock return volatility, and the probability of favorable returns incidence represent respectively the disclosure dynamics, firm risk, and investors' ambiguity aversion, within dynamic panel models. To investigate robustness of the estimates we have also included capital market ambiguity, firm size and stock liquidity indices in the model. The findings are consistent with existing theories. Firm risk and the capital market ambiguity have an increasing impact on the integrated information voluntary disclosure. However, the ambiguity at firm's level has decreased its voluntary disclosure. Likewise, a rise in ambiguity aversion (in-dependent of the ambiguity level), which makes investors more pessimistic about the firm's cash flows, makes the manager to increase the level of voluntary disclosure. Further, inertia in voluntary disclosure has been detected among the studied digital corporates. Depending on the magnitudes of the risk, ambiguity, ambiguity aversion, and the source of investors' ambiguity, the corporate managers decide on their voluntary disclosure policy appropriately.

Objective:Examining brand experience, value congruence,and customer engagement for tourism brand productivity.Given the significant effects that brand productivity in the tourism industry can have on a country's prosperity and economic progress, the primary objective of this research is to develop and empirically examine a conceptual model that elucidates the complex relationships among brand experience dimensions,brand value congruence, customer-brand identification, and brand productivity.Furthermore, the study investigates the moderating role of customer-brand engagement within this framework.Methods:The statistical population for this research comprises the tourists visiting the city of Isfahan.Given that the population is unlimited, a sample size of 400 participants was selected based on Cochran's formula, and the sampling method used was convenience sampling.The data was collected through a structured questionnaire.First, the validity and reliability of the measurement scales were assessed. Content validity and convergent validity were established, and the reliability was confirmed through Cronbach's alpha and composite reliability calculations. The results of these assessments were satisfactory. For data analysis, the researchers employed structural equation modeling techniques, utilizing SPSS25 and SmartPLS3.0 software.Results: Sensory experience, effective experience, behavioral experience, intellectual experience and brand value congruence have a positive and significant effect on customer-brand identification.Customer-brand identification has a positive and significant effect on brand productivity.customer-rand engagement can moderate the effect of brand-customer value congruence on customer-brand identification.Conclusions:The results of this research will help the authorities to promote and improve brand productivity in the tourism industry by focusing on customer-brand engagement, brand value congruence and customer-brand identification,and considering different dimensions of customer experiences.

The modelling of strategies for buying and selling in Stock Market Investment have been the object of numerous advances and uses in economic studies, both theoretically and empirically. One of the popular models in economic studies is applying the Semi-parametric Markov Switching models for forecasting the time series observations based on stock prices. The Semi-parametric Markov Switching models for these models are a class of popular methods that have been used extensively by researchers to increase the accuracy of fitting processes. The main part of these models is based on kernel and core functions. Despite of existence of many kernel and core functions that are capable in applications for forecasting the stock prices, there is a widely use of Gaussian kernel and exponential core function in these models. But there is a question if other types of kernel and core functions can be used in these models. This paper tries to introduce the other kernel and core functions can be offered for good fitting of the financial data. We first test three popular kernel and four core functions to find the best one and then offer the new strategy of buying and selling stocks by the best selection on these functions for real data.

The most basic step in managing an organization is to develop appropriate and practical strategies. Developing a detailed and complete plan that will determine the long-term direction of the organization and guarantee the prof-itability and survival of the organization. In this research, using multi-criteria decision-making techniques, a new SWOT model has been created to formulate organizational strategies (financial, commercial, production and similar). The upcoming research method is of a mixed type (qualitative-quantitative) which will be used in the qualitative part of the method (de-scriptive-survey) and in the quantitative part of the fuzzy Delphi technique and multi-criteria decision making. In order to target more the results of this research and its output model, Iralco Company (Iran Aluminium) has been selected as a strategic and widely used global product manufacturer to study and implement the mentioned models and techniques.