مجله مدیریت کسب و کار
پیاپی 63 (پاییز 1403)

Today, in Iran and all over the world, steel plays a crucial role in production and industrial sectors. Therefore, to increase and stabilize exports and eliminate the dependence of the country's budget on oil; adopting policies to diversify and expand the export of non-oil goods, especially the steel, by removing obstacles and adopting appropriate solutions in all developing countries with a single-product economy, including Iran, is inevitable.The purpose of this article is investigating the effect of exchange rate fluctuations on export of steel accordingly in MIDAS modeling framework. this model makes it possible to review former steel export forecasts and revise them regarding the impact of exchange rate fluctuations on steel industry exports, if more reliable data is available. In the estimated Midas model, annual statistics of steel exports, steel production, real and uncertain production, exchange rate, monthly variables of exchange rate and sanctions index are utilized during from 1992 until 2021. The results show that there is a positive relationship between the exchange rate and steel exports, and the relationship between exchange rate fluctuations and steel exports is negative, therefore these effects are more intense in the long term.

This research was conducted to present a digital marketing development model in the business-to-business sector by relying on the analysis of obstacles and inhibiting factors. This is an applied research conducted as an exploratory qualitative research. At first using the qualitative approach, the dimensions, components and indicators of the factors involved in the digital marketing of business to Trade and analysis of obstacles and inhibiting factors and the initial research model have been designed. Then, the leveling of each theme was done using interpretative structural modeling. The statistical sample included 15 experts, and the sample size was determined based on reaching theoretical saturation. Data analysis was done in the qualitative phase with thematic analysis method using Max Kyuda software and in the quantitative part with interpretive structural modeling method using Mic Mac software. Based on the results obtained in the qualitative phase, overarching themes including technological factors, socio-cultural factors, legal factors, marketing factors, and financial factors were identified. Based on the results of interpretative structural modeling, the variables are in six levels. A number of indicators were also identified for each of the identified main categories.

Effective communication with customers is considered one of the important and necessary issues in today's business environments,in other words, knowing customer needs and meeting them is one of the basic challenges in micro and macro economic environments and global markets. The purpose of this article is to review and analyze scientific productions and scientific metrics in the field of customer relationship management in the period from1996 to2023. This research is based on the interpretation paradigm and is done using VOS viewer software,which can be used to analyze data extracted from reference and information databases and draw their results and graphical features.The findings of the research showed that the highest number of articles related to 2019 was 40 articles. The highest amount of research and scientific productions in the topics of customer relations has been done in America with128 articles, and Iran is in fifth place with 33 articles.Also based on the co-occurrence network of words,since2014the keyword of customer relationship management has found a special link with the words of public relations.salesinformation management and business experienced a suitable growth rate during the reviewed years, and some sort of organization in the process of scientific productions in the field is clearly evident.

This article introduces a designed model to elucidate the contagion effect of risk in the credit portfolio of a bank. The dynamic conditional correlation approach has been applied on a daily basis within the time span from March 26, 2011, to September 2, 2021, to model the dynamic patterns of changes in correlation among various types of risks. Initially, the risk for each contract is determined using the optimized ARMA-GARCH model. Subsequently, Conditional Value at Risk (CVaR) is extracted as the risk factor for each contract. The obtained risk values are further modeled using the multivariate BEKK and DCC-GARCH models to analyze the contagion levels based on their results and address the research hypotheses. The research results indicate that the contagion of oscillations among different contracts in the bank's loan portfolio is not unidirectional. Additionally, it cannot be definitively claimed that the spillover of risk shocks from one contract to another is symmetric. This study is anticipated to contribute to the enhancement of predictive model performance and the development of effective risk management strategies in banks.

The process of digital transformation and the factors affecting innovation in businesses, with the aim of creating competitive advantages and adapting to technological changes, have been highly considered in recent decades, especially during the time of Corona. Due to the widespread attention to this issue, most of the studies have been scattered or done on a case-by-case basis, which doubles the necessity of reviewing, summarizing, integrating and classifying it.In this research, using the method of meta-analysis, open coding and content analysis. The identification of effective factors, coding and the main theme during a recursive process led to the identification of 4 main branches (organizational culture, management style, competition and environmental changes, business resources and capital) and 21 sub-branches, which are considered as factors. The main and secondary effects on business innovation and digital transformation are known and a conceptual framework was presented for it.The emergence of the crisis of the spread of Covid-19 and its epidemic in the world showed the importance of using digital business models even more.

Every year, businesses spend a lot of money on their advertising campaigns. To manage the effectiveness of an advertising campaign, the three parameters of the media mix used in the campaign, the impact of the campaign on the purchase intention and the impact of the campaign on the brand value are considered. Each of these parameters includes several metrics and indicators that recognition and ranking and awareness of their position and management can help us in obtaining better results of advertising campaigns. The current research is practical and descriptive-surveillance method was used to collect data. The research started with library studies and a questionnaire was designed and distributed with the identified criteria, and then the resulting data were analyzed with Spss and Lisrel software and using the factor analysis technique and structural equation modeling. The findings of the research put social networks at the highest and social responsibilities at the lowest rank of mixed media. The measure of brand awareness has been assigned the highest rank in brand equity and initial purchase intention has been assigned the highest priority in purchase intention, which emphasizes the emphasis on attraction and purchase.

The purpose of this research is to design a digital entrepreneurship ecosystem model in Internet retail businesses. The type of research work is applied, in the qualitative part of the statistical population of this research, in order to identify the indicators, two groups of academic experts in the field of digital technologies and entrepreneurship have been formed in the number of 14 people, and in the quantitative part of the statistical population of the research, 384 officials. The programmers and operators of these businesses were in Tehran. The sampling method in this research is systematic random method due to the homogeneity of the studied population. The required information was collected by two methods of library studies (in order to develop hypotheses) and field method (in order to test hypotheses). The research tool includes a fuzzy Delphi questionnaire as well as a researcher-made questionnaire based on the extracted criteria. Convergent validity method was used to confirm validity and Cronbach's alpha coefficient was used to confirm reliability. To analyze the data, statistical methods at two descriptive and inferential levels and statistical tests appropriate to the data scale, PLS statistical software, partial least squares test and bootstrapping technique have been used.

Today, nanotechnology is considered one of the modern technologies that play an important role in the economic and scientific growth of a country. Reducing the consumption of energy, strength of buildings against natural disasters, and protection against radiation have led to the expansion of nanotechnology in the construction.

This research was conducted to identify the factors affecting the business management of nanotechnology companies in the field of construction.

The present research has been carried out using quantitative and qualitative methods. Sampling includes 200 nanotechnology and business managers in the construction field from 11 companies. Information was collected through interviews and questionnaires.

The results indicate that the key factors affecting the success of the business management process in nanotechnology are classified into five general categories: communication, science and experience, financial knowledge, entrepreneurship, and management. It was also shown that all these dimensions have a positive and significant effect on the business management of new technologies in the field of construction.

To create a bright future in the development of nanotechnology in the construction industry and the survival of these companies, there is a need for strong business management, which the variables introduced in this research affect.