Environmental uncertainty

This study investigates the effect of IT-business strategic alignment on organizational agility by considering the effects of IT flexibility and IT capability on strategic alignment. Also this study investigates the moderating role of environmental uncertainty on the relationship between strategic alignment and organizational agility. This research is an applied research based on purpose and descriptive-survey in terms of data collection. The statistical population consists of 330 people who work in Telecommunication Company. In this research, library method and researcher-made questionnaire were used for data collection. Its validity was confirmed by content related validity and using confirmatory factor analysis. Also Cronbach's alpha coefficient was used for its reliability. AMOS software was used to examine the relationships between the structures that formed the research hypotheses. For analyzing the moderator, Hierarchical regression analysis was used by SPSS. Finally, the results stated that IT capability and IT flexibility have a significant impact on IT-Business strategic alignment and IT-business strategic alignment has a significant impact on organizational agility, but hypothesis 4, which related to the moderating role of environmental uncertainty on the relationship between strategic alignment and organizational agility, was not confirmed.

One of the challenging issues for investors and professionals is appropriate models to evaluate financial situation of the firms. In this regard, many models have been extracted by researchers using different financial ratios to resolve these issues. However, choosing a model based on the conditions and users’ needs is complex. The main objective of this study is to identify the effect of contingency variables on the firms’ financial performance forecasting models. The statistical population of the research includes all firms listed in Tehran Stock Exchange during the period 2011-2018, among which 154 firms were selected. The research data were collected from firm's financial statements and other source. Multiple Discriminant Analysis and Logit Regression model were used to test the research hypotheses. According to the results of discriminant analysis, environmental uncertainty and firm size positively improve the predictive power of the firm's financial performance, and business strategy and business competition don’t improve the predictive power of the firm's financial performance. Also, the results of logit regression indicated that environmental uncertainty, business strategy, and firm size improve predictive power of the firm's financial performance; but, business competition don’t improve predictive power of the model. The results of comparing the two methods showed that the Discriminant analysis method outperformed the logistic regression method.

The purpose of this study was to investigate the effect of peripheral uncertainty on the relationship between the herd behavior of investors and the price of negative stock shock. Because the capital market is one of the main pillars of the country's economic growth and development, the incidence of any disturbance and deviation in prices causes problems with allocating and equipping funds. Reducing stock prices is an example of the disorders created in the capital market. On the other hand, one of the factors that lead to the fluctuations of return and instability of financial markets is the herd behavior of investors. If investors lack sufficient information about environmental factors, environmental uncertainty occurs. Such a situation also affects the organization. Environmental uncertainty overshadowed the use of financial statements. Changes in stock prices and corporate status are cases that can not speak in full confidence in their occurrence. As a result, environmental uncertainty is part of the economic environment. To test the research hypotheses, 156 companies from the Tehran Stock Exchange during the years 2010 to 2020 were selected by screening method. To test the hypotheses, multivariate regression models were performed using STATA14 software. The results indicate that herd behavior has a significant effect on price shock and environmental uncertainty has no effect on the relationship between the two.

This paper provides a systematic review of the literature on big data capabilities, business model innovation, firm performance, and environmental uncertainty. It aims to establish a foundation for theoretical modeling, research proposition refinement, and the overall research framework by meticulously examining the theoretical backgrounds of existing studies and identifying research gaps. An initial search yielded 1,360 articles, which were filtered to remove duplicates and irrelevant studies, resulting in 475 articles for final analysis. These articles were classified into three main categories: the relationship between big data capabilities and business model innovation, the impact of business model innovation on firm performance, and the integrated relationship involving environmental uncertainty. Additionally, it examines the mediating role of business model innovation on firm performance as well as the moderating effect of environmental uncertainty on these relationships. Finally, the paper formulates research hypotheses and discusses identified research gaps, establishing a solid groundwork for methodological discussions in future research and contributing to the advancement of knowledge in the field.

Market uncertainty is when investors have difficulty in assessing current and future market conditions because there is a lot of volatility in the market. This research was conducted with the aim of investigating the effect of environmental uncertainty and currency uncertainty on volatility of stock returns of Petrochemical and Petroleum Products Supplier companies which are listed in Tehran Stock Exchange (TSE); these companies are active in all areas of the supply chain from extraction to retailing. In order to achieve the objectives of the research, research hypotheses were tested based on a statistical sample consisting of 13 companies during a 10-year period from 2012 to 2021 through the GMM estimation method with EViews. The findings of the research show that environmental and currency uncertainties intensify the volatility of companies' stock returns. These uncertainties in the previous period have the opposite effect on the volatility of stock returns in the current period. Also, the relationship of trading volume and stock price variables with stock return volatility is negative, because when market uncertainty is high, traders are expected to move more towards stocks of safer companies. The greater the volatility of returns in the previous period, it is expected that this will intensify the volatility of stock returns in this period as well. Examining volatility of stock returns can be useful in analyzing market participants' motivations.