فهرست مطالب

Industrial Strategic Management - Volume:7 Issue: 2, Spring 2022

Journal of Industrial Strategic Management
Volume:7 Issue: 2, Spring 2022

  • تاریخ انتشار: 1402/01/29
  • تعداد عناوین: 6
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  • Sajjad Shamsi Gooshki *, Arsalan Nami, Mohammad Solgi Pages 61-75
    Today, environmental change has become an integral part of businesses. One of the best ways to respond to these changes is supply chain agility. Therefore, the purpose of this study is to design and test the supply chain agility model in oil and gas industry. This research is conducted with a mixed approach. The statistical population was experts in the oil and gas industry. In the qualitative phase, a sample consisting of 8 experts are selected to extract the drivers, components and consequences of supply chain agility model and using the content analysis approach. In the quantitative phase, a sample of 64 experts are selected and the collected data are analyzed using a questionnaire tool through the structural equation modeling approach with Smart PLS software version 2. Qualitative findings represent that environmental drivers act as prerequisites and requirements of supply chain agility. Supply chain agility consists of the general categories of agile sensitivity, planning and production, which ultimately leads to the consequences of supply chain agility. Quantitative phase findings show that supply chain agility drivers have a significant and positive effect on agility sensitivity, agile planning and agile production. Also, agile planning and agile production have a significant and positive effect on the consequences of supply chain agility, but agile sensitivity has no significant effect on the consequences of supply chain agility. The results of fitting the research model also showed that this model has a good fit.
    Keywords: Agility, Supply Chain, Mixed approach, Oil, Gas Industry
  • Amin Karkon, Habibollah Nakhaei *, Zohreh Hajiha Pages 76-84

    Tax is one of the best and most powerful tools of governments’ financial policy with various functions regulating the economy of the society. Examining the impact of tax culture on tax evasion is the goal of this paper. The statistical sample of this study includes 384 gold sellers and physicians in South Khorasan province. In conducting this research, survey research method and library method are used. Information is collected through a questionnaire and referring to documents and then analyzed. The validity of the questionnaire is determined by examining the important variables related to tax culture and tax avoidance and by applying the opinions of knowledgeable people. The reliability of the questionnaire is calculated to be 0.80 on average using Cronbach's alpha statistic. Using structural equations and Smart PLS software, this study is tested. The findings reveals that people's tax avoidance is significantly and positively impacted by the lack of a tax culture in society, a monitoring and prosecution system for tax collection, and adequate control over officials. Additionally, there is a negative and significant impact on people avoiding paying taxes due to delays in tax collection and the existence of numerous and varied tax exemptions. Finally, the impact of taxpayers on people who avoid paying taxes is unfavorable and insignificant.

    Keywords: tax, Tax Avoidance, Tax culture, Structural Equations
  • Hassan Mohammadi, Alireza Zarei Soudani * Pages 85-102
    In order to determine how well component extraction techniques (principal component analysis and factor analysis) and variable (feature) reduction techniques (correlation-based and relief techniques) perform in identifying the likelihood of future stock price crashes, the current study looked into these techniques' performance and effectiveness. To do this, a sample of 80 companies listed on Tehran Stock Exchange between 2006 and 2017 was chosen, and 17 often used major characteristics influencing the probability of a stock price drop were found by studying the literature. The criteria for evaluating the efficacy of the procedures under consideration included the mean absolute magnitude percentage error, root mean square error, and coefficient of determination. In comparison to the use of all key explanatory variables, the results showed that variable reduction and component extraction strategies work significantly better and are more effective at predicting the likelihood of future stock price crashes.
    Keywords: stock price Crash risk, variable reduction technique, component extraction technique, linear prediction method
  • Alireza Fayazi, Abdollah Naami *, Reza Aghamusa Pages 103-111
    Positioning is a quick method to adapt a product to a new market. The position of the product reflects the type of consumer attitude towards the overall interest as well as important features of the product. One of the convenient ways of positioning is mapping the target market assumed from sensorial information. Thus, the purpose of this study is to position the beverages around the preferences of airline customers’ viewpoint to indicate a suitable one. The statistical population of the study includes the travelers aged 10 years or older experienced at least one long-haul air travel, whose opinions gathered through the central product test scheme. Accordingly, eight beverages proposed by domestic suppliers selected as test options. In this study, data analysis performed by XLSTAT software based on sensory analysis and extracted two branch results containing as internal and external preferences maps. The maps indicate the preferences of the products according to their competitive advantages and their overall interest in the customers' minds. Ultimately, the results lead to segmentation and market overview, and suggestions for target product properties and production for the major segment of the market and suppliers' marketing strategy.
    Keywords: Positioning, Sensory analysis, Preference Mapping, Beverage, Airline industry
  • Zahra Eskandari, Mirfeiz Fallah Shams *, Gholamreza Zomorodian Pages 112-121
    Portfolio diversification has been discussed in many researches and has been proven in different portfolios, including stock portfolios, currency portfolios, etc. In this paper, we are going to investigate the impact of diversification on a credit portfolio risk related to companies listed on the Tehran Stock Exchange. To calculate the risk of the mentioned companies, we use structural Models of credit risk. In fact, the most important factor for assessing the risks of financial markets is the estimation of loss distribution. On the other hand, the estimation of loss distribution is highly dependent on the characteristics of the distribution parameters. One of the characteristics that can affect the loss distribution is non-stationary time series of asset returns. In this research, the data of the adjusted prices of the companies in the Tehran Stock Exchange for the period 2011 to 2019 is used. The loss distribution of credit portfolio is obtained through Merton's model with regard to non-stationary time series of asset returns and the changes of the asset returns’ covariance matrix during the period of 2011-2019. The risk measure used in this paper is the value at risk. According to the results of the model, at lower confidence levels such as 99% and 99.5%, there is not enough evidence for the impact of diversification in reducing risk, but at the confidence level of 99.9% and for the type error of 5%, it can be said that diversification has a significant effect on reducing risk.
    Keywords: Loss Distribution, Random Matrix, Non-stationary, Value at Risk
  • Kousar Shakeri, Karim Hamdi *, Hossein Vazifehdust Pages 122-133
    This study aims to identify the dimensions, components and indicators affecting the employer brand in the government organization of the Statistical Center of Iran. The purpose of this research is applied and the nature of research is combined-exploratory research. Collection of research data in qualitative dimension based on purposive sampling method and through semi-structured interviews with senior managers of the Statistics Center of Iran and faculty members in the field of brand and human resources (10 people) took place. In a quantitative dimension, 340 managers, staff of the Statistics Center, Statistics Research Institute of Iran, companies and organizations cooperating with this center were selected based on the Cochran's formula and research data were collected through a field-based researcher-made questionnaire The reliability of the results related to the data in the qualitative dimension through peer review and the reliability of the findings were also confirmed by the interviewees based on the review and review of the findings. The content validity of the questionnaire was confirmed by experts and the reliability of the questionnaire was 0.987 through Cronbach's alpha method. The findings of the present study consist of 6 dimensions, 17 components and 51 items and seventeen components and indicators were identified, which are: statistical center structure, role clarity, fit and size of the statistical center, promotion opportunity, staff efficiency, statistical center efficiency, sense of honor and respect, technology level, social responsibility, internal and external equity, customer satisfaction, retaining talented staff, salary and benefits, employer brand equity, employer brand personality, job satisfaction.
    Keywords: Employer Brand, employer brand component, employer brand dimensions, employer brand index, branding