Research Paper
Abdol Majid Imani; Azam Hosseinifar; Moslem Mobaraki
Abstract
According to in today's competitive world, in addition to economic factors, social factors also can affect businesses and social networks as a social characteristic, the driving force and basis for social cohesion in business activities online role important. The purpose of this paper is to examine the ...
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According to in today's competitive world, in addition to economic factors, social factors also can affect businesses and social networks as a social characteristic, the driving force and basis for social cohesion in business activities online role important. The purpose of this paper is to examine the impact of social networking (content of social relations, the structure of social ties, community resource information, mode of data transfer) in digital entrepreneurship development (opportunity analysis, creation and website development, e-marketing application, implementation and development of e-commerce) have been investigated. The research population consisted of 70 managers and IT experts of knowledge societies based in Kerman province of science and technology. By collecting questionnaires, 35 questionnaires were selected as samples The research method in terms of nature, correlation and data analysis software (Spss) and SEM (Smart pls) is used. The results show that social networks has a significant positive impact on the development of digital entrepreneurship and the dimensions of social networks, content, social relations, ways of transmission of information, social information resource has the greatest impact on digital entrepreneurship.
Research Paper
Mir Ali i Seyed Naghav; Ghadir Shakiba Jamalabad; Seyed Hossein Jalali
Abstract
Formation of strategic collaboration is process influenced by the political behavior because of the multiplicity of stakeholders and political action among them. This study aims to investigate the political foundation of decision making by focusing on the role of political skill and political ...
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Formation of strategic collaboration is process influenced by the political behavior because of the multiplicity of stakeholders and political action among them. This study aims to investigate the political foundation of decision making by focusing on the role of political skill and political environment on political behavior. To achieve this goal, the data is gathered based on random sampling of 68 market-based strategic collaborations between start-ups across the country. The impact of political skill and political environment is analyzed in political behavior related to decision-making with intermediate role of social capital and moderating role of political will. The findings of research indicates how political elements interact to each other in order to influence in social decision-making which is rooted in the origins of decision theory and the social influence theory. Political skills leads to positive political behavior in decision-making associated with the formation of strategic collaboration directly and through the creation of social capital while the political environment provides political bed-destructive behavior. In addition, actual results confirm moderating role of political will on the political skills in direct contact with the political behavior. F
Research Paper
Manijeh Bahrinizadeh; Majid Esmailpour; Jamalaldin Kaboutari
Abstract
Monitoring and then improving the quality of e-banking services are considered as major factors in creating competitive advantage for banks and satisfaction and customers' intention to use.Considering the increasing competition between banks, the improvement of the quality of service of electronic ...
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Monitoring and then improving the quality of e-banking services are considered as major factors in creating competitive advantage for banks and satisfaction and customers' intention to use.Considering the increasing competition between banks, the improvement of the quality of service of electronic banking tools is essential as an important approach in attracting, satisfying and intenting customers. For this purpose, the research questionnaire was designed based on the researches of Zahir and Narsikara (2016) and the E-S-QUAL and E-RecS-QUAL models of Parasuraman et al. (2005). The statistical population of this study was the users of automated teller machines of Mellat Bank of Bushehr city which Using cluster sampling, 384 people were selected. Amos software was used for confirmation and explaining of conceptual model of the research. Also t-test in SPSS software was used to analyze the gap between perceptual viewpoints of customers (current situation) and their expectations from the optimal situation, after weighing using the network analysis process. Communication aspects, service compensation, availability, responsiveness, efficiency, implementation and privacy had the greatest gaps between the expectations and perceptions of customers. The permanent liquidity in organization, responsibility in promised services, appropriate geographical scope and convenient access to ATMs was the most important factors among all indicators.
Research Paper
Mohammad Taghi Taghavifard; Azita Dadvand; Mojtaba Aghaei
Abstract
Banks are service organizations having close relationship with their customer by providing them financial services. Since customers are the most valuable sources for any bank, there is no doubt that the profitability of these financial organizations is highly related to the analysis of ...
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Banks are service organizations having close relationship with their customer by providing them financial services. Since customers are the most valuable sources for any bank, there is no doubt that the profitability of these financial organizations is highly related to the analysis of issues related to the customer satisfaction. Banks are constantly paying special attention to service quality as the most important principle of payments. Queue length and waiting time are two important factors that affect on the customer's perception of service quality. Among the various useful methods for evaluating and analyzing systems in steady states and also considering probabilistic date, it is shown that simulation has a high capability in modeling and evaluating such circumstances. Simulation is a suitable tool for the analysis of any queuing systems. The main aim of this paper is to simulating service processes of the bank branches and offer scenarios to improve existing processes toward customer satisfaction. To do this, after the identification of different service processes in the bank, the bottlenecks are identified and scenarios are offered to overcome these bottlenecks. The results show that proposed method can highly increase the speed and efficiency of services provided by the bank and achieve customer satisfaction.
Research Paper
Morteza Mohammadi; Tahmures Sohrabi
Abstract
The purpose of this study was to investigate the impact of electronic customer relationship management on customer satisfaction. This is a descriptive correlational study clearly based on the structural equation modeling (SEM). The participants of this study were 384 all customers who refer to the active ...
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The purpose of this study was to investigate the impact of electronic customer relationship management on customer satisfaction. This is a descriptive correlational study clearly based on the structural equation modeling (SEM). The participants of this study were 384 all customers who refer to the active electronic stores and benefit from their services and/or products. Participants completed the customer satisfaction Inventory (by Lee, and Turban, 2001) and the electronic customer relationship management Inventory (by Mogheimi, and Ramezani, 2011) Reliability and validity of these questionnaires was obtained. Results of the Pearson correlation showed that electronic customer relationship management and all customer satisfaction components are mutually correlated with each other (P<0/01(. Implementing structural equation modeling (SEM) for relationship between customer satisfaction and electronic customer relationship management tests, we found that the proposed model has a good fit and customer satisfaction is well explained by electronic customer relationship management. Also all of the model path coefficients were significant.
Research Paper
Mojtaba Salehi; Alireza Korde Katooli
Abstract
Credit risk interprets as the probability of obligations non-repayment by customer in due date is considered as one of causes financial institutions bankruptcy. For this purpose, data mining techniques such as neural networks, Decision Tree, Bayesian networks, Support Vector Machine is used for customer ...
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Credit risk interprets as the probability of obligations non-repayment by customer in due date is considered as one of causes financial institutions bankruptcy. For this purpose, data mining techniques such as neural networks, Decision Tree, Bayesian networks, Support Vector Machine is used for customer segmentation to high-risk and low-risk groups. In this paper, we present the hybrid Imperialist Competitive optimization algorithm and neural network for increasing classification accuracy in evaluation and measurement credit risk of bank customers. The proposed method identifies the optimistic features and eliminates unnecessary features decreases problem dimension and increases classification accuracy. To validate this method, it implements on UCI dataset and also on a reality dataset of a private Iranian bank. The experimental results show this method is more satisfactory than other data mining techniques. The neural network error for the test set decreases with selection of effective features and elimination of low-impact features by the Binary Imperialist Competitive Optimization Algorithm. In addition test data error rate remains at acceptable level for other used classification methods. This article is the first use of algorithms Imperialist Competitive for credit risk assessment of bank customers.
