Journal of Infrastructure, Policy and Development, 2024
This study explores the integration of data mining, customer relationship management (CRM), and s... more This study explores the integration of data mining, customer relationship management (CRM), and strategic management to enhance the understanding of customer behavior and drive revenue growth. The main goal is the use of application of data mining techniques in customer analytics, focusing on the Extended RFM (Recency, Frequency, Monetary Value and count day) model within the context of online retailing. The Extended RFM model enhances traditional RFM analysis by incorporating customer demographics and psychographics to segment customers more effectively based on their purchasing patterns. The study further investigates the integration of the BCG (Boston Consulting Group) matrix with the Extended RFM model to provide a strategic view of customer purchase behavior in product portfolio management. By analyzing online retail customer data, this research identifies distinct customer segments and their preferences, which can inform targeted marketing strategies and personalized customer experiences. The integration of the BCG matrix allows for a nuanced understanding of which segments are inclined to purchase from different categories such as "stars" or "cash cows," enabling businesses to align marketing efforts with customer tendencies. The findings suggest that leveraging the Extended RFM model in conjunction with the BCG matrix can lead to increased customer satisfaction, loyalty, and informed decision-making for product development and resource allocation, thereby driving growth in the competitive online retail sector. The findings are expected to contribute to the field of Infrastructure Finance by providing actionable insights for firms to refine their strategic policies in CRM.
The purpose of this research is to the effect of brand experience and perceived value in the ligh... more The purpose of this research is to the effect of brand experience and perceived value in the light of consumer loyalty and purchase in the area of LG technology. The research method of this research is quantitative and explanatory in nature, and the survey research method was used in it, and the information and data were obtained through the collection of questionnaires. 3 hypotheses have been tested based on the theoretical model obtained from the research literature. The research method of this research is quantitative and explanatory in nature, and the survey research method was used in it, and the information and data were obtained through the collection of questionnaires. 3 hypotheses have been tested based on the theoretical model obtained from the research literature. Case software Excel, SPSS, and Smart PLS are used for statistical analysis and hypothesis testing. Brand experience has a positive and significant effect on loyalty, a positive and significant effect on loyalty and perceived value has a positive and significant effect on loyalty, and loyalty has a positive and significant effect on purchase intention
In this research, the role of marketing automation in the identification and analysis of consumer... more In this research, the role of marketing automation in the identification and analysis of consumer buying behavior patterns in the digital space has been examined. The article explores the application of neural networks in opinion mining, detailing the performance improvements achieved by using a memetic neural network over a standard neural network. The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error (MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the collection and analysis of large and diverse data sets, helping companies to accurately and precisely predict customer behavior and identify patterns. This leads to the provision of more useful information for strategic decision-making in marketing. Additionally, marketing automation allows businesses to maintain continuous and targeted communication with their customers. Furthermore, automation tools enhance the digital shopping experience by providing customers with quick and appropriate responses through relevant content, product recommendations, and special discounts. Ultimately, this method reduces the costs and time required for data analysis, as the process is automated and does not require human intervention
Marketing is an effective method for understanding the market, identifying competitors, and adopt... more Marketing is an effective method for understanding the market, identifying competitors, and adopting market policies. One of the best strategies currently used for advancement in various fields of work, including the automotive industry, is the sustainable marketing strategy approach. Given the intense competition and opportunities and threats in the automotive industry, adopting sustainable marketing strategies can help with branding and gaining a competitive position. This research focuses on a sustainable marketing strategy based on product perceived value, to attract customer loyalty to the brand. In the automotive industry, product perceived value is measured by customers, and based on that, an appropriate marketing strategy is determined to attract and retain customers. Using the research background, 12 strategies were extracted to determine the weight and importance of marketing strategies and then evaluate their impact and scenario planning. Then, using the multi-criteria decisionmaking method Rough BWM, the weights and rankings of the strategies were determined, and the top rankings were entered into the FCM method for scenario planning. The results showed that the three main strategies, including focusing on product quality and superior value (S1), excellent customer experience (S3), and meaningful branding (S2), account for about 50 percent of the total importance. These three strategies help Tesla gain a competitive advantage, attract new customers, and increase market share in the highly competitive electric vehicle market. It also helps retain current customers and encourages repurchases. Overall, Tesla aims to be recognized as a leading brand in the industry by offering high-quality products, excellent experiences, and a strong brand image
In this research, the role of marketing automation in the identification and analysis
of consumer... more In this research, the role of marketing automation in the identification and analysis of consumer buying behavior patterns in the digital space has been examined. The article explores the application of neural networks in opinion mining, detailing the performance improvements achieved by using a memetic neural network over a standard neural network. The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error (MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the collection and analysis of large and diverse data sets, helping companies to accurately and precisely predict customer behavior and identify patterns. This leads to the provision of more useful information for strategic decision-making in marketing. Additionally, marketing automation allows businesses to maintain continuous and targeted communication with their customers. Furthermore, automation tools enhance the digital shopping experience by providing customers with quick and appropriate responses through relevant content, product recommendations, and special discounts. Ultimately, this method reduces the costs and time required for data analysis, as the process is automated and does not require human intervention.
International Journal of Business and Social Science, 2024
The increase in the audience of the Internet caused the owners of goods and service providers to ... more The increase in the audience of the Internet caused the owners of goods and service providers to think about marketing on the Internet, and one of the most important of them is social media marketing. The research aims to Analyzing the impact of social media marketing, word of mouth and price perception on customer behavioral intentions through perceived interaction. This research is quantitative and in terms of survey method and data measurement method is through questionnaire. The random sampling method was simple and in terms of the structural equation approach, it is based on Lisrel software. The statistical sample included 357 respondents and the results showed that there is a relationship between social media marketing and word-of-mouth advertising with perceived interaction. But the relationship between perceived price and perceived interaction was not significant. Also, the relationship between perceived interaction and customer's behavioral intentions was positively significant.
Marketing is an effective method for understanding the market, identifying competitors, and adopt... more Marketing is an effective method for understanding the market, identifying competitors, and adopting market policies. One of the best strategies currently used for advancement in various fields of work, including the automotive industry, is the sustainable marketing strategy approach. Given the intense competition and opportunities and threats in the automotive industry, adopting sustainable marketing strategies can help with branding and gaining a competitive position. This research focuses on a sustainable marketing strategy based on product perceived value, to attract customer loyalty to the brand. In the automotive industry, product perceived value is measured by customers, and based on that, an appropriate marketing strategy is determined to attract and retain customers. Using the research background, 12 strategies were extracted to determine the weight and importance of marketing strategies and then evaluate their impact and scenario planning. Then, using the multi-criteria decisionmaking method Rough BWM, the weights and rankings of the strategies were determined, and the top rankings were entered into the FCM method for scenario planning. The results showed that the three main strategies, including focusing on product quality and superior value (S1), excellent customer experience (S3), and meaningful branding (S2), account for about 50 percent of the total importance. These three strategies help Tesla gain a competitive advantage, attract new customers, and increase market share in the highly competitive electric vehicle market. It also helps retain current customers and encourages repurchases. Overall, Tesla aims to be recognized as a leading brand in the industry by offering high-quality products, excellent experiences, and a strong brand image
International Conference on Industrial Engineering and Operations Management, 2015
Mobile value-added services have drawn the attention of researchers and practitioners recently, d... more Mobile value-added services have drawn the attention of researchers and practitioners recently, due to the rapid development of the mobile telecommunications market. Various mobile-based services and applications have therefore been introduced in order to satisfy mobile phone subscribers' needs. Facing intensive competition, service providers are eager to persuade mobile phone subscribers into using the mobile value-add services in the hope to expand market share and ultimately raise revenues. This study therefore intends to investigate the factors that influence mobile phone subscribers' intention to use mobile value-added services in Iran by incorporating quality factors and perceived playfulness with the Technology Acceptance Model. The proposed model has been applied as an empirical case for Iranian value added services and the results are analyzed.
Journal of Infrastructure, Policy and Development, 2024
This study explores the integration of data mining, customer relationship management (CRM), and s... more This study explores the integration of data mining, customer relationship management (CRM), and strategic management to enhance the understanding of customer behavior and drive revenue growth. The main goal is the use of application of data mining techniques in customer analytics, focusing on the Extended RFM (Recency, Frequency, Monetary Value and count day) model within the context of online retailing. The Extended RFM model enhances traditional RFM analysis by incorporating customer demographics and psychographics to segment customers more effectively based on their purchasing patterns. The study further investigates the integration of the BCG (Boston Consulting Group) matrix with the Extended RFM model to provide a strategic view of customer purchase behavior in product portfolio management. By analyzing online retail customer data, this research identifies distinct customer segments and their preferences, which can inform targeted marketing strategies and personalized customer experiences. The integration of the BCG matrix allows for a nuanced understanding of which segments are inclined to purchase from different categories such as "stars" or "cash cows," enabling businesses to align marketing efforts with customer tendencies. The findings suggest that leveraging the Extended RFM model in conjunction with the BCG matrix can lead to increased customer satisfaction, loyalty, and informed decision-making for product development and resource allocation, thereby driving growth in the competitive online retail sector. The findings are expected to contribute to the field of Infrastructure Finance by providing actionable insights for firms to refine their strategic policies in CRM.
The purpose of this research is to the effect of brand experience and perceived value in the ligh... more The purpose of this research is to the effect of brand experience and perceived value in the light of consumer loyalty and purchase in the area of LG technology. The research method of this research is quantitative and explanatory in nature, and the survey research method was used in it, and the information and data were obtained through the collection of questionnaires. 3 hypotheses have been tested based on the theoretical model obtained from the research literature. The research method of this research is quantitative and explanatory in nature, and the survey research method was used in it, and the information and data were obtained through the collection of questionnaires. 3 hypotheses have been tested based on the theoretical model obtained from the research literature. Case software Excel, SPSS, and Smart PLS are used for statistical analysis and hypothesis testing. Brand experience has a positive and significant effect on loyalty, a positive and significant effect on loyalty and perceived value has a positive and significant effect on loyalty, and loyalty has a positive and significant effect on purchase intention
In this research, the role of marketing automation in the identification and analysis of consumer... more In this research, the role of marketing automation in the identification and analysis of consumer buying behavior patterns in the digital space has been examined. The article explores the application of neural networks in opinion mining, detailing the performance improvements achieved by using a memetic neural network over a standard neural network. The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error (MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the collection and analysis of large and diverse data sets, helping companies to accurately and precisely predict customer behavior and identify patterns. This leads to the provision of more useful information for strategic decision-making in marketing. Additionally, marketing automation allows businesses to maintain continuous and targeted communication with their customers. Furthermore, automation tools enhance the digital shopping experience by providing customers with quick and appropriate responses through relevant content, product recommendations, and special discounts. Ultimately, this method reduces the costs and time required for data analysis, as the process is automated and does not require human intervention
Marketing is an effective method for understanding the market, identifying competitors, and adopt... more Marketing is an effective method for understanding the market, identifying competitors, and adopting market policies. One of the best strategies currently used for advancement in various fields of work, including the automotive industry, is the sustainable marketing strategy approach. Given the intense competition and opportunities and threats in the automotive industry, adopting sustainable marketing strategies can help with branding and gaining a competitive position. This research focuses on a sustainable marketing strategy based on product perceived value, to attract customer loyalty to the brand. In the automotive industry, product perceived value is measured by customers, and based on that, an appropriate marketing strategy is determined to attract and retain customers. Using the research background, 12 strategies were extracted to determine the weight and importance of marketing strategies and then evaluate their impact and scenario planning. Then, using the multi-criteria decisionmaking method Rough BWM, the weights and rankings of the strategies were determined, and the top rankings were entered into the FCM method for scenario planning. The results showed that the three main strategies, including focusing on product quality and superior value (S1), excellent customer experience (S3), and meaningful branding (S2), account for about 50 percent of the total importance. These three strategies help Tesla gain a competitive advantage, attract new customers, and increase market share in the highly competitive electric vehicle market. It also helps retain current customers and encourages repurchases. Overall, Tesla aims to be recognized as a leading brand in the industry by offering high-quality products, excellent experiences, and a strong brand image
In this research, the role of marketing automation in the identification and analysis
of consumer... more In this research, the role of marketing automation in the identification and analysis of consumer buying behavior patterns in the digital space has been examined. The article explores the application of neural networks in opinion mining, detailing the performance improvements achieved by using a memetic neural network over a standard neural network. The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error (MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the collection and analysis of large and diverse data sets, helping companies to accurately and precisely predict customer behavior and identify patterns. This leads to the provision of more useful information for strategic decision-making in marketing. Additionally, marketing automation allows businesses to maintain continuous and targeted communication with their customers. Furthermore, automation tools enhance the digital shopping experience by providing customers with quick and appropriate responses through relevant content, product recommendations, and special discounts. Ultimately, this method reduces the costs and time required for data analysis, as the process is automated and does not require human intervention.
International Journal of Business and Social Science, 2024
The increase in the audience of the Internet caused the owners of goods and service providers to ... more The increase in the audience of the Internet caused the owners of goods and service providers to think about marketing on the Internet, and one of the most important of them is social media marketing. The research aims to Analyzing the impact of social media marketing, word of mouth and price perception on customer behavioral intentions through perceived interaction. This research is quantitative and in terms of survey method and data measurement method is through questionnaire. The random sampling method was simple and in terms of the structural equation approach, it is based on Lisrel software. The statistical sample included 357 respondents and the results showed that there is a relationship between social media marketing and word-of-mouth advertising with perceived interaction. But the relationship between perceived price and perceived interaction was not significant. Also, the relationship between perceived interaction and customer's behavioral intentions was positively significant.
Marketing is an effective method for understanding the market, identifying competitors, and adopt... more Marketing is an effective method for understanding the market, identifying competitors, and adopting market policies. One of the best strategies currently used for advancement in various fields of work, including the automotive industry, is the sustainable marketing strategy approach. Given the intense competition and opportunities and threats in the automotive industry, adopting sustainable marketing strategies can help with branding and gaining a competitive position. This research focuses on a sustainable marketing strategy based on product perceived value, to attract customer loyalty to the brand. In the automotive industry, product perceived value is measured by customers, and based on that, an appropriate marketing strategy is determined to attract and retain customers. Using the research background, 12 strategies were extracted to determine the weight and importance of marketing strategies and then evaluate their impact and scenario planning. Then, using the multi-criteria decisionmaking method Rough BWM, the weights and rankings of the strategies were determined, and the top rankings were entered into the FCM method for scenario planning. The results showed that the three main strategies, including focusing on product quality and superior value (S1), excellent customer experience (S3), and meaningful branding (S2), account for about 50 percent of the total importance. These three strategies help Tesla gain a competitive advantage, attract new customers, and increase market share in the highly competitive electric vehicle market. It also helps retain current customers and encourages repurchases. Overall, Tesla aims to be recognized as a leading brand in the industry by offering high-quality products, excellent experiences, and a strong brand image
International Conference on Industrial Engineering and Operations Management, 2015
Mobile value-added services have drawn the attention of researchers and practitioners recently, d... more Mobile value-added services have drawn the attention of researchers and practitioners recently, due to the rapid development of the mobile telecommunications market. Various mobile-based services and applications have therefore been introduced in order to satisfy mobile phone subscribers' needs. Facing intensive competition, service providers are eager to persuade mobile phone subscribers into using the mobile value-add services in the hope to expand market share and ultimately raise revenues. This study therefore intends to investigate the factors that influence mobile phone subscribers' intention to use mobile value-added services in Iran by incorporating quality factors and perceived playfulness with the Technology Acceptance Model. The proposed model has been applied as an empirical case for Iranian value added services and the results are analyzed.
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Papers by Payam Boozary
of consumer buying behavior patterns in the digital space has been examined. The article
explores the application of neural networks in opinion mining, detailing the performance
improvements achieved by using a memetic neural network over a standard neural network.
The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error
(MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic
neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE
to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the
collection and analysis of large and diverse data sets, helping companies to accurately and
precisely predict customer behavior and identify patterns. This leads to the provision of more
useful information for strategic decision-making in marketing. Additionally, marketing
automation allows businesses to maintain continuous and targeted communication with their
customers. Furthermore, automation tools enhance the digital shopping experience by
providing customers with quick and appropriate responses through relevant content, product
recommendations, and special discounts. Ultimately, this method reduces the costs and time
required for data analysis, as the process is automated and does not require human intervention.
Conference Presentations by Payam Boozary
of consumer buying behavior patterns in the digital space has been examined. The article
explores the application of neural networks in opinion mining, detailing the performance
improvements achieved by using a memetic neural network over a standard neural network.
The initial tests on a dataset with a standard neural network resulted in a Mean Squared Error
(MSE) of 0.004 and a Root Mean Squared Error (RMSE) of 0.03. In contrast, the memetic
neural network significantly enhanced accuracy, reducing the MSE to 0.00045 and the RMSE
to 0.0028. Using artificial intelligence and advanced algorithms, this method enables the
collection and analysis of large and diverse data sets, helping companies to accurately and
precisely predict customer behavior and identify patterns. This leads to the provision of more
useful information for strategic decision-making in marketing. Additionally, marketing
automation allows businesses to maintain continuous and targeted communication with their
customers. Furthermore, automation tools enhance the digital shopping experience by
providing customers with quick and appropriate responses through relevant content, product
recommendations, and special discounts. Ultimately, this method reduces the costs and time
required for data analysis, as the process is automated and does not require human intervention.