The purpose of this research was to identify and rank the factors influencing the design of the native model for assessing the effectiveness of the advertisement. Firstly, according to the research literature, the criteria and sub-criteria influencing the effectiveness of advertising have been extracted, then the Delphi triple stages were used that the panel included 20 professors and marketing experts and 30 experts from the banking industry as well as clients It is used to extract the final indexes. Then, using the Fuzzy AHP method, the ranking of the criteria is considered. The extracted criteria are: demographic characteristics, individual feelings and attitudes of the audience, apparent features of the message, message content, market characteristics, cultural, economic, design and nature of the service, advertising methods. The results of the ranking of the results showed that the methods of advertisement, the design and nature of the service, the apparent features of the message, the emotions and attitudes of the audience, the demographic characteristics, the content of the message, the economic, market characteristics, cultural, respectively ranked first to ninth dedicated.
In the technology-driven industries like automotive industry, the success of the companies depends on their ability to provide new and continuous innovations to the market. In this regard, technological capabilities lead to a competitive advantage. The purpose of this study is to identify the effective factors in the technology assessment based on the dynamic capabilities of small and medium automotive supply chains. In this study, by using the principal components analysis (PCA) method, the identification of the important factors according to the views of automotive industry experts has been addressed. The results show that from the perspective of dynamic capabilities, Absorbency and learning, Innovative capability and integration capabilities are the most effective factors. In terms of technology assessment, Processes and organizational structure and level of technology development are the most important factors identified in order to assess the technology of these companies. In addition, in this study, due to the effective factors, a new technology assessment model with dynamic capabilities approach has been proposed and a relevant questionnaire has been developed. The results of reliability analysis show that the proposed questionnaire has an appropriate accuracy and reliability in technology assessment of small and medium automotive supply chain companies.
In recent years, a significant factor for success of service industry is the rate of meeting customers’ expectation and after service recovery satisfaction especially in banking system. The aim of this study is to fill the existing gaps in the marketing literature by providing a comprehensive model to examine the impacts of perceived justice on secondary satisfaction through the mediating role of positive and negative emotions. Further, this study is an attempt to explore the factors which have effects on post recovery satisfaction based on the perceived justice theory in Iranian banking system. The total numbers of respondents were 384 customers of bank who had experienced at least one time service failure. The hypotheses of this research were tested and analyzed by structural equation modeling and LISREL and PLS software. The findings suggest that the increase of distributive justice, procedural justice and interactional justice enhances post-recovery satisfaction as well as increases positive emotions and decreases negative ones. In addition, as well as positive emotions raises, the secondary satisfaction will grow while increase of negative emotions will result in reduction of secondary satisfaction.
The present study was performed to investigate the effect of commercial and operational factors on competitiveness improvement of Shahid Beheshti Port (SBP) in Chabahar in attracting shipping lines. The research method is applied in terms of purpose. Initially, the researcher conducted the qualitative phase to identify important variables, create a typology, or make new theories. To reach the saturation stage, 15 people were interviewed. Then, after identifying emerging classifications using qualitative data, a questionnaire was developed through the Delphi technique, and thus, the quantitative phase began. To test its items, patterning of the structural equation model was used via Lisrel software. Findings showed that commercial factors affecting SBP competitiveness improvement included financial capital and customer capital, port costs and tax burden, market efficiency and market performance. In addition, technical-developmental infrastructures, technological infrastructures, warehousing activities, loading and unloading operations, customs activities and services, communication and distribution networks, trust and safety in port activities, and port logistics features were the operational factors affecting this competitiveness. It was discovered that existence of abundant capacities and potentials in various transportation departments of SBP, quantitative and qualitative increase of equipment, as well as the development of new capacities in infrastructure and fleet of railways, roads, offshore and port loading/unloading equipment have relatively improved levels of loading/unloading in SBP, which can be attributed to successful execution of measures taken to develop competitiveness in SBP.
Market saturation, increased competition, change in tastes and needs of customers have made Iranian companies, especially canned industries, face various challenges in relation to consumers. Under such conditions, cannery companies with the ability for proper use of available facilities and equipment such as design and development of new products, supplying high-quality and economic products and appropriate packaging can overcome these challenges and guarantee their survival. Now, it’s time for experts and marketers to pay special attention to importance of packaging and its effect of purchasing decision of consumers and as a result, increased profitability of companies and re-evaluation of their attitude. Although companies have found that they should pay attention to physical aspect and attractiveness of packaging of products for this purpose, it could be observed that majority of them have not used scientific methods in this way. Applied method in this study is applied-developmental method in terms of purpose and the study is a mixed exploratory research in terms of nature. The results obtained from the study show that two identified indices including functional (informational) and visual (aesthetics) features could be effective factors on purchasing decision of consumers. Finally, the study has suggested considering the two indices to improve effectiveness in decision making among job subcultures.
The issue of credit risk and deferred bank claims is one of the sensitive issues of banking industry, which can be considered as the main cause of bank failures. In recent years, the economic slowdown accompanied by inflation in Iran has led to an increase in deferred bank claims that could put the country's banking system in serious trouble. Accordingly, the current paper presents a prediction model for credit risk of real customers of Qavamin Bank Branch in Shiraz, using a combined approach of logistic regression and neural network. Therefore, the necessary examinations were carried out on a sample of 351 individuals from the real customers of the bank in the period 2011-2012. According to the information available, 17 variables were extracted including financial and non-financial variables for classifying customers into well-balanced s and ill-balanced s. Among the variables, five effective variables on credit risk were selected using the parent forward stepwise selection technique, which was used to train neural networks with three neurons in the hidden layer. the optimum cutting point was selected based on the performance curve of the system and the results of the neural network output on the test data show that the accuracy of the combined model in the classifier of well-balanced customers is .89 and in the category of ill-balanced customers is .83 that is better than the results of logistic regression and in general, it is possible to estimate the accuracy of prediction.
The main purpose of this research is preparing a suitable management and intelligence sample based on an intellectual capital or comparative approach. The present research is a correlation descriptive type which has been done by a survey method. In this research for gathering the required data , two self-constructed questionnaires have been used the intellectual capital and knowledge management have been used. In order to ascertain reliability , the content analysis method has been used (specialists opinion). The findings of the research showed that the model for ascertaining and rendering an ideal sample of knowledge management based on intellectual capital shall have a favorite value.
The purpose of this study was to investigate the role of non-financial information analysis and risk-return analysis along with financial information in increasing the selected banks and financial institutions of Tehran Stock Exchange portfolio efficiency. To evaluate the efficiency of the portfolio, the Treynor's ratio was used and attempted to determine the Treynor's ratio of the selected optimal portfolio based on each accounting and financial information, non-financial information and risk-return analysis, and then the significant differences between the ratios were compared. also, intellectual capital, agency theory and management ability data were used as non-financial information. The 9 optimized Portfolio that were selected by any one or more of the data from financial, non-financial, and risk-return analysis and calculated Treynor's ratio for each select were used. To achieve the goal of the research, 19 banks and financial institution of Tehran stock exchange were selected as sample and analyzed. The results showed that the use of non-financial and risk-return analysis information will increase the calculated efficiency of banks portfolio using the Treynor's ratio. All of hypotheses were approved, this means that there is significant difference between mean Treynor's ratio of stock combination based on risk-return information and accounting information, agency theory, management ability and accounting information and intellectual capital.
This study aims to identify the factors affecting government support for Iranian automotive industry. Initially, based on the research literature, a set of factors was identified and designed as an analytic network process model. To investigate the analytic network model using the Delphi method, the opinion of 25 experts associated with government support for the automotive industry was used to answer the designed questionnaire for pairwise comparison. These experts were chosen through snowball sampling. The research result demonstrated that in experts’ opinion, various types of government support are needed to desirably expand this industry. According to the result of this study, a list of priorities has been provided below: 1) Specific support; 2) management information support and advisors; 3) financial support; and finally, 4) legal support. With respect to the result of binary comparison, the sub-criteria of reduced tax exemption for automakers, economic incentives, joint venture and provision of global marketing services have had the greatest weight respectively in the sub-criteria of financial support, specific support, legal support and management information support and advisors.
The present study seeks to identify and prioritize the components and dimensions of e-commerce and categorize them as a comprehensive model by using the meta-synthesis method. In this research, total of 58 articles in the field of E-commerce was identified and examined in the first step. Latin articles were in the period of 1996 to 2017 and Persian articles were related to the period of 2001 to 2017. Finally, after three stages of the evaluation of articles, 29 articles remained. Then, based on the results of the meta-synthesis method and the use of open coding, three main fields and a number of subfields were found for the e-commerce variable. Also, at this stage, the initial data was also introduced in the form of a new subset and added to the comprehensive model by using the indexing, conceptualization and categorization method. The main fields of e-commerce included customer trust and satisfaction in e-commerce, the development and application of e-commerce and the success of e-commerce. Each of these main fields has a number of subfields. Suggestions are presented in accordance with the comprehensive model identified. The e-commerce model can be a good tool for decision making managers and decision-makers, and should be used as a basis for future research.
This research is based on the investigation of the relations between corporate identity, security leadership, and work ethics among the Shiraz University’s staffs. This research is practical and the data collection was done with descriptive correlative method. The statistical populations are the Shiraz University’s staffs and their numbers are 982. The sample size is 288 and they are chosen randomly according to the Morgan table. Three questionnaires are used in this research while their justifiability and reliability are confirmed: Aniti (corporate identity), Kumb (security leadership) and Gregory C Petty (work ethics). The descriptive and inference statistical variable are used in data analysis: frequency, percentage, mean, standard deviation in descriptive statistics and Pearson correlation coefficient in statistical inference. The results show the significant effect of corporate identity and security leadership on the work ethics. The corporate identity, security leadership and works ethics have the significant effect on their own components, as well. The overall results indicate that the corporate identity and security leadership affect the works ethics.
The purpose of this research was to explain the relationship between the personality of brands with risk aversion and customer loyalty. This research was applied in terms of purpose, descriptive correlation one in terms of information gathering and based on structural equation modeling. The statistical population consisted of all customers with credible brands (5 famous and high-income brands such as Adidas, Nike, Puma, Al-Sport, and Asx) in East Azarbaijan province. With regard to the unlimited statistical population, 384 people were selected as the statistical sample based on Morgan's table. The brand personality standard questionnaire (Jones et al., 2009), Customer loyalty Anismawa (2007), and a researcher-made risk aversion questionnaire were used to collect data. The validity of the questionnaires, in addition to the supervisor's approval, was confirmed by 10 supervised faculty members and the reliability of the questionnaire was 0.849, 0.867 and 0.957, respectively, using the Cronbach's alpha coefficient. The validity of the questionnaire structure was also confirmed by factor analysis. Data were analyzed using SPSS and Amos software. The results of structural equations showed that the brand personality has a direct and positive effect on risk aversion (factor = 0.359), attitudinal loyalty (factor = 0.575), behavioral loyalty of customers (factor = 0.548). Also, the model's indices show the fitness of the research communication model.
The purpose of this study was to do an empirical study on the service sector to investigate the effect of brand identity on brand performance and employees’ job satisfaction with the intermediating role of organizational confidence, using Buil et al. (2015) model. In this model, the effect of brand identity on brand performance and employees’ job satisfaction is investigated both directly and indirectly through the organizational confidence. A sample of 273 individuals was selected randomly from employees of Pasargad bank branches in Tehran. The data collection instrument was a standard questionnaire with 26 questions whose validity and reliability were confirmed; it was distributed among the statistical population. Data were analyzed using descriptive statistics and inferential statistics. At the level of descriptive statistics, indices such as frequency and frequency percentage were used. The correlation methods, structural equation modeling, and path analysis were used on the level of inferential statistics; LISREL and SPSS software were used for this purpose. The results of the analysis showed the direct and positive impact of brand identity on brand performance, organizational confidence, and job satisfaction. In general, the ability of Pasargad Bank to improve the brand performance, increase the organizational confidence and satisfy its employees, is directly and indirectly related to the brand identity (p <0.05).
This study aimed to investigate the impact of authentic leadership on psychological well-being and job satisfaction with mediating role of psychological capital among employees at Ministry of Sports and Youths. This was causal-applied study. The population consisted of all employees and managers at Ministry of Sports and Youth in 2018 (N= 831). The research tools included Avolio et al. Authentic Leadership Questionnaire, Luthans’s Psychological Capital Scale, Minnesota’s Job Satisfaction Standard Questionnaire, and Ryff's Psychological Well-being questionnaire. The collected data were analyzed using partial least square (Smart PLS) and SPSS. Also, Sobel test and VAF were used to measure the impact and t–value of psychological capital. The findings showed that the authentic leadership impacted directly and indirectly on psychological well-being and job satisfaction of staff at Ministry of Sports and Youth with mediating role of psychological capital.
Introduction: around the world, the science system of many countries is being transformed and changed in response to increasing social and economic need for knowledge and technology. The theory of the entrepreneurial university is one of the models proposed for reflecting the new and transformed image of the university characterized by a broader interaction between the universities and the community. The universities in developed countries have shifted towards entrepreneurship. In knowledge-based economy, along with educational and research responsibilities, universities also have a third mission, which involves more extensive engagement in the process of innovation and development of technology. Accordingly, new university-based networks are being developed and considering their capabilities as the source for producing and distributing knowledge, universities are becoming more entrepreneurial in order to play their critical role in industrial innovation and technology development, leading to new jobs and increased well-being.