درخت حوزه‌های تخصصی

The objective of the present study is to provide a strategic entrepreneurial marketing model in the construction industry in the construction companies of the north of the country using the Grounded theory. The present study is a qualitative research which uses Grounded theory by focusing on deep and semi-structured interview and providing an entrepreneurial strategic marketing strategy. In this study, 30 interviews were conducted on university and construction industry experts in construction companies of the north of the country to reach a consensus that was carried out using snowball sampling. Data were analyzed by open, axial and selective coding and the case studies were presented. In the current study, instead of testing the theory and confirming or rejecting it, it was presented limited to reality. The collected data were analyzed using Nvivo software and the components were identified. The results indicated that the causal conditions affecting strategic entrepreneurial marketing include communication capabilities, organizational capability, organizational strategy, management support and organization and organizational systems. The intervening condition include relationship orientation, environmental capability, and corporate governance, and ground conditions include system thinking, application of technology and organizational culture. Furthermore, the proposed strategies include intellectual capital management, strategic alignment and knowledge elevation to improve strategic and tactical performance of the company as a result of strategic entrepreneurial marketing.

Behavioral finance had been becoming a fast-growing field of study in the past few years and because of the importance of investors' behavior in market performance, it's extremely noteworthy. By studying biases from their orientation perspective, we can divide them into two major groups, past-oriented, and current-oriented biases. In this research, a model had been developed for the past-oriented behavioral bias, which is closely related to the random walk theory. The research sample included the daily price information of 9 different industry indices in the Tehran Exchange Price Index (TEPIX), the index of 50 Top Companies in the Tehran Stock Exchange, and the S&P index in the New York Stock Exchange from 03/25/2011 to 03/19/2019. The results of the ARIMA model based on Markov switching models were measured for the degree of rigidity of these indexes by random walk theory, and then the effect of past-oriented behavioral bias was calculated in each of these 12 indexes by developing a new model. The results indicate that the cement index had the highest past-oriented behavioral bias (57%), followed by the top 50 companies index (46%), chemicals (41%), and oil product index (12%). However, the S&P index had no past-oriented behavioral bias.

The purpose of this study is to explain the relationship between the comparability of financial statements as a qualitative financial reporting feature with the expected risk of stock price crash. The statistical population of this research includes all companies admitted to Tehran Stock Exchange. In order to achieve the research goal, 81 companies were selected for the period between 2010 and 2017 as a sample of the study. The research aimed at being an applied research and the research method is in terms of the nature and content of the correlation. The research has been performed in the framework of deductive-deductive reasoning and for analysis of the research hypothesis; statistical analysis of the logistics has been assisted. The results of the research hypothesis test showed a significant and negative relationship between the comparability of financial statements and the expected crash in stock prices.

Resource-based view (RBV) theory analyzes and interprets company's resources in order to find out how organizations gain a competitive advantage. This theory fo-cuses on the implications of the complicated features of a company as the resources for excellent performance and comparative advantage. According to this view, capa-bilities and resources of the company are the main factors in explaining the func-tional results or competitive advantage. Resources can be considered as inputs which enable companies to do their activities. The purpose of this research is to introduce a resource-based theory for calculating the efficiency score of accepted companies in Tehran Securities Exchange by using Data Envelopment Analysis (DEA). In this regard, the financial statements of 190 companies accepted in the exchange for the 2009 – 2018 period have been analysed. Efficiency indicators, which include 4 categories of resources (10 inputs) and 5 outputs, have formed the axis of the mentioned technique. The results of implementing this model for compa-nies with the efficiency score of one, indicates first a minimal input consumption compared to competing companies in the same industry while producing more out-put, and second, using the resource-based view theory (integration of tangible and intangible resources) enables the company to push the boundaries of efficiency. Finally, it can be said that utilizing minimum and maximum resources simultaneous-ly leads to a focus strategy-type competitive advantage.