Pub Date : 2020-03-30DOI: 10.21742/ijsbt.2020.8.1.05
K. Khwanngern, Varin Chouvatut, W. Ongsakul
In recent years, e-commerce has grown rapidly, and Thailand's e-commerce growth rate in Southeast Asia has also ranked first. Large and small businesses have increased their online sales business. Although the development speed of the traditional import and export economy has slowed down, e-commerce has increased strongly. E-commerce has the characteristics of shortening transaction links and reducing costs, enabling producers to directly face end consumers and reducing commodity prices. Thailand currently does not have an online shopping platform with domestic capital. They are all platforms with foreign capital, such as Shopee, Lazada, and Alibaba. Secondly, Thais can also purchase domestic products through Facebook and Instagram, similar to Chinese micro-businesses. Due to the different consumption habits of consumers in the two countries, the acceptance of online shopping is also different. To understand the online shopping behaviors of consumers in the two countries, this paper analyzes the online shopping behaviors of Thai and Chinese consumers through questionnaires and puts forward corresponding opinions to promote the development of e-commerce in Thailand. Furthermore, based on the survey and comparison, it analyzes the future development opportunities of Thailand's e-commerce and promotes the further improvement of Thailand's e-commerce business.
{"title":"Comparative Analysis of Online Shopping Behavior of Thai and Chinese Consumers","authors":"K. Khwanngern, Varin Chouvatut, W. Ongsakul","doi":"10.21742/ijsbt.2020.8.1.05","DOIUrl":"https://doi.org/10.21742/ijsbt.2020.8.1.05","url":null,"abstract":"In recent years, e-commerce has grown rapidly, and Thailand's e-commerce growth rate in Southeast Asia has also ranked first. Large and small businesses have increased their online sales business. Although the development speed of the traditional import and export economy has slowed down, e-commerce has increased strongly. E-commerce has the characteristics of shortening transaction links and reducing costs, enabling producers to directly face end consumers and reducing commodity prices. Thailand currently does not have an online shopping platform with domestic capital. They are all platforms with foreign capital, such as Shopee, Lazada, and Alibaba. Secondly, Thais can also purchase domestic products through Facebook and Instagram, similar to Chinese micro-businesses. Due to the different consumption habits of consumers in the two countries, the acceptance of online shopping is also different. To understand the online shopping behaviors of consumers in the two countries, this paper analyzes the online shopping behaviors of Thai and Chinese consumers through questionnaires and puts forward corresponding opinions to promote the development of e-commerce in Thailand. Furthermore, based on the survey and comparison, it analyzes the future development opportunities of Thailand's e-commerce and promotes the further improvement of Thailand's e-commerce business.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115929482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-30DOI: 10.21742/ijsbt.2020.8.1.04
Qi Wang, Seong-Yeon Park
With the growth of internet technology, cause-related marketing has become more diverse, therefore, it is utmost important to understand what kind of cause-related marketing campaigns consumers like. This study examines the impact of perceived benefits and privacy concerns on consumer participation of internet cause-related marketing. Through the questionnaire survey, 517 questionnaires have been divided into experienced groups and inexperienced groups. For those who have participated in internet cause-related marketing campaign, the three types of perceived benefits (functional benefits, experiential benefits, symbolic benefits) can positively affect consumers ’ attitudes towards the campaign, then positively affect their participation. The privacy concerns have a significant negative moderating effect on the impact of functional benefits on attitudes and a significant positive moderating effect on the impact of symbolic benefits. For people who have not participated in internet cause-related marketing campaign, only perceived symbolic benefits and experiential benefits can positively influence their attitudes towards campaign. The privacy concerns have a significant positive moderating effect on the impact of symbolic benefits.
{"title":"Chinese Cause-Related Marketing through Internet: Perceived Benefits, Participation and Privacy Concerns","authors":"Qi Wang, Seong-Yeon Park","doi":"10.21742/ijsbt.2020.8.1.04","DOIUrl":"https://doi.org/10.21742/ijsbt.2020.8.1.04","url":null,"abstract":"With the growth of internet technology, cause-related marketing has become more diverse, therefore, it is utmost important to understand what kind of cause-related marketing campaigns consumers like. This study examines the impact of perceived benefits and privacy concerns on consumer participation of internet cause-related marketing. Through the questionnaire survey, 517 questionnaires have been divided into experienced groups and inexperienced groups. For those who have participated in internet cause-related marketing campaign, the three types of perceived benefits (functional benefits, experiential benefits, symbolic benefits) can positively affect consumers ’ attitudes towards the campaign, then positively affect their participation. The privacy concerns have a significant negative moderating effect on the impact of functional benefits on attitudes and a significant positive moderating effect on the impact of symbolic benefits. For people who have not participated in internet cause-related marketing campaign, only perceived symbolic benefits and experiential benefits can positively influence their attitudes towards campaign. The privacy concerns have a significant positive moderating effect on the impact of symbolic benefits.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127933346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-30DOI: 10.21742/ijsbt.2019.7.2.04
Jiyoung Yoon
This study sought to compare the purchase intention of eco-friendly products between Korean and Chinese consumers. For this purpose, it established a conceptual model in which environmental knowledge affects attitude, subjective norm, and perceived behavioral control toward eco-friendly products, which in turn are connected to the purchase intention of eco-friendly products. According to the analysis results, in both Korean and Chinese cases, consumers’ environmental knowledge had a positive effect on their attitude to eco-friendly products and subjective norms, and the variable that exerted the strongest influence on purchase intention was the subjective norm. On the other hand, this research found some differences in the results between the two countries: in the Korean case, the path from perceived behavioral control to purchase intention was not statistically supported, whereas in the Chinses case the path from environmental knowledge to perceived behavioral control was rejected. 1
{"title":"A Study of Purchase Intention of Eco-friendly Products: A Cross-Cultural Investigation between Korea and China","authors":"Jiyoung Yoon","doi":"10.21742/ijsbt.2019.7.2.04","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.2.04","url":null,"abstract":"This study sought to compare the purchase intention of eco-friendly products between Korean and Chinese consumers. For this purpose, it established a conceptual model in which environmental knowledge affects attitude, subjective norm, and perceived behavioral control toward eco-friendly products, which in turn are connected to the purchase intention of eco-friendly products. According to the analysis results, in both Korean and Chinese cases, consumers’ environmental knowledge had a positive effect on their attitude to eco-friendly products and subjective norms, and the variable that exerted the strongest influence on purchase intention was the subjective norm. On the other hand, this research found some differences in the results between the two countries: in the Korean case, the path from perceived behavioral control to purchase intention was not statistically supported, whereas in the Chinses case the path from environmental knowledge to perceived behavioral control was rejected. 1","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132338538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-30DOI: 10.21742/ijsbt.2019.7.2.05
Jiyoung Yoon
The recommendation system is a system to make consumers' choice easier by informing the result of combining information necessary for individuals in the information that consumers want in the market. Ultimately, it is a program to increase the satisfaction of consumers. In this study, consumers who choose cosmetics combine the existing attributes and extract the characteristics, and then recommend similar cosmetics, thereby enhancing the availability of consumers. For this purpose, the cosmetics classification of 'hwahae App', a representative cosmetics application in Korea, was used and 'recommendation system based on similarity algorithm' was developed. This study conducted a previous study on the algorithms that form the type and recommendation system of the recommendation system, and then developed a customized cosmetics recommendation system based on Big Data. The suggestion of such a recommended algorithm can help increase consumer satisfaction by receiving similar products that are suitable for their skin type or taste within the consumer market where there are numerous products in the market today. As a result, the company will be able to reduce the cost and time of purchasing cosmetics while increasing satisfaction by being recommended for other products with similar characteristics to existing ones. In conclusion, the application of the recommendation system using big data is meaningful in that it has not only practicality but also academic meaning by utilizing big data algorithms.
{"title":"A Consumer Recommendation System based on Big Data","authors":"Jiyoung Yoon","doi":"10.21742/ijsbt.2019.7.2.05","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.2.05","url":null,"abstract":"The recommendation system is a system to make consumers' choice easier by informing the result of combining information necessary for individuals in the information that consumers want in the market. Ultimately, it is a program to increase the satisfaction of consumers. In this study, consumers who choose cosmetics combine the existing attributes and extract the characteristics, and then recommend similar cosmetics, thereby enhancing the availability of consumers. For this purpose, the cosmetics classification of 'hwahae App', a representative cosmetics application in Korea, was used and 'recommendation system based on similarity algorithm' was developed. This study conducted a previous study on the algorithms that form the type and recommendation system of the recommendation system, and then developed a customized cosmetics recommendation system based on Big Data. The suggestion of such a recommended algorithm can help increase consumer satisfaction by receiving similar products that are suitable for their skin type or taste within the consumer market where there are numerous products in the market today. As a result, the company will be able to reduce the cost and time of purchasing cosmetics while increasing satisfaction by being recommended for other products with similar characteristics to existing ones. In conclusion, the application of the recommendation system using big data is meaningful in that it has not only practicality but also academic meaning by utilizing big data algorithms.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128773036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-30DOI: 10.21742/ijsbt.2019.7.2.03
Joon-Hee Kim
The purpose of this study was to investigate the effects of user and social characteristics on continuous use intention among corporate mobile SNS users. Based on the extended technology acceptance model, this study examined user characteristics (personal innovativeness, personal familiarity) and social characteristics (social effects, social interaction) as independent variables of continuous use intention and perceived easiness and perceived usefulness as mediating variables. The data of this study were collected from 332 corporate mobile SNS users with structured questionnaires and analyzed using the SEM technique. This study found that four user and social characteristics variables have positive effects on the two mediating variables and that the two mediating variables positively impacted continuous use intention. Theoretical implications of the findings were discussed and the policy proposals were suggested. Social characteristics, Continuous use intention
{"title":"The Effects of User and Social Characteristics on Continuous Use Intention among Corporate Mobile SNS Users- With a Focus on Extended Technological Acceptance Model","authors":"Joon-Hee Kim","doi":"10.21742/ijsbt.2019.7.2.03","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.2.03","url":null,"abstract":"The purpose of this study was to investigate the effects of user and social characteristics on continuous use intention among corporate mobile SNS users. Based on the extended technology acceptance model, this study examined user characteristics (personal innovativeness, personal familiarity) and social characteristics (social effects, social interaction) as independent variables of continuous use intention and perceived easiness and perceived usefulness as mediating variables. The data of this study were collected from 332 corporate mobile SNS users with structured questionnaires and analyzed using the SEM technique. This study found that four user and social characteristics variables have positive effects on the two mediating variables and that the two mediating variables positively impacted continuous use intention. Theoretical implications of the findings were discussed and the policy proposals were suggested. Social characteristics, Continuous use intention","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-30DOI: 10.21742/ijsbt.2019.7.2.01
Seung-Wan Ju
Recently, exhibition industries are becoming high value added service industries, with its high value in creating jobs and increasing income. Therefore, its effect on economy is getting bigger, and many nations around the world are making effort to develop their exhibition industries. However, the awareness and research about corporate marketing exhibition is insufficient, and the empirical study about its effect is also very lacking. As a result of analyzing, it has been found that amongst the four basic elements of exhibition experience, entertainment, educational, and deviating experience cause significant effect on the experience satisfaction. In addition, all of these three experience after off-line exhibition experience increased the experience satisfaction, and had a positive effect on the purchase intention. As a result, if the three factors were high, the purchase intention was also high.
{"title":"The Effect of Exhibition Experience on the Intention of Purchase","authors":"Seung-Wan Ju","doi":"10.21742/ijsbt.2019.7.2.01","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.2.01","url":null,"abstract":"Recently, exhibition industries are becoming high value added service industries, with its high value in creating jobs and increasing income. Therefore, its effect on economy is getting bigger, and many nations around the world are making effort to develop their exhibition industries. However, the awareness and research about corporate marketing exhibition is insufficient, and the empirical study about its effect is also very lacking. As a result of analyzing, it has been found that amongst the four basic elements of exhibition experience, entertainment, educational, and deviating experience cause significant effect on the experience satisfaction. In addition, all of these three experience after off-line exhibition experience increased the experience satisfaction, and had a positive effect on the purchase intention. As a result, if the three factors were high, the purchase intention was also high.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-31DOI: 10.21742/ijsbt.2019.7.1.06
Ji Suk Lee, Shanyue Jin
This study examines the interaction between the ownership structure and the intragroup transactions of Korean chaebols to test the tunneling hypothesis. Using the data on intragroup transactions (sales, purchases, receivables, and payables) and intragroup ownership between 1999 and 2014, we derive two findings. First, the intragroup transactions of firms with large and/or direct ownership by the controlling family enhance the firms’ performance significantly more than those of firms with small and/or indirect ownership by the family. Second, firms’ performance improves more if the counterparties of the intragroup transactions are firms with smaller and/or more indirect ownership by family and also with counterparty firms that are central to the group. The results are consistent with the tunneling hypothesis and suggest that intragroup transactions are important means of tunneling activities by controlling families.
{"title":"Tunneling through Intragroup Transactions: Evidence from Korean Chaebols","authors":"Ji Suk Lee, Shanyue Jin","doi":"10.21742/ijsbt.2019.7.1.06","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.1.06","url":null,"abstract":"This study examines the interaction between the ownership structure and the intragroup transactions of Korean chaebols to test the tunneling hypothesis. Using the data on intragroup transactions (sales, purchases, receivables, and payables) and intragroup ownership between 1999 and 2014, we derive two findings. First, the intragroup transactions of firms with large and/or direct ownership by the controlling family enhance the firms’ performance significantly more than those of firms with small and/or indirect ownership by the family. Second, firms’ performance improves more if the counterparties of the intragroup transactions are firms with smaller and/or more indirect ownership by family and also with counterparty firms that are central to the group. The results are consistent with the tunneling hypothesis and suggest that intragroup transactions are important means of tunneling activities by controlling families.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128722321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-31DOI: 10.21742/ijsbt.2019.7.1.05
Zhenyu Liu, Xinyi Ma
In corporate customer management, companies are required to evaluate the costs and benefits of investment expenditures and determine the optimal resource allocation for marketing and sales activities within a period. Understanding the buying behavior of customers in the future is a key driving force for the sales and marketing departments to effectively allocate resources. This paper proposes a combined prediction model that uses the Stacking method to integrate multiple decision tree models to predict whether users will buy in the future and their specific purchase time. The model uses the idea of stacking model fusion to fuse the prediction results of three different integrated decision tree models of Light GBM, XG Boost, and Random Forest, and then uses a simple logistic regression classification model and a linear regression model to predict separately based on the fused prediction results Whether the user will buy in the future and the specific time of purchase. In addition, in this study, we used real retail sales data to evaluate the predictive performance of the proposed method.
{"title":"Predictive Analysis of User Purchase Behavior based on Machine Learning","authors":"Zhenyu Liu, Xinyi Ma","doi":"10.21742/ijsbt.2019.7.1.05","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.1.05","url":null,"abstract":"In corporate customer management, companies are required to evaluate the costs and benefits of investment expenditures and determine the optimal resource allocation for marketing and sales activities within a period. Understanding the buying behavior of customers in the future is a key driving force for the sales and marketing departments to effectively allocate resources. This paper proposes a combined prediction model that uses the Stacking method to integrate multiple decision tree models to predict whether users will buy in the future and their specific purchase time. The model uses the idea of stacking model fusion to fuse the prediction results of three different integrated decision tree models of Light GBM, XG Boost, and Random Forest, and then uses a simple logistic regression classification model and a linear regression model to predict separately based on the fused prediction results Whether the user will buy in the future and the specific time of purchase. In addition, in this study, we used real retail sales data to evaluate the predictive performance of the proposed method.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114682001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-31DOI: 10.21742/ijsbt.2019.7.1.02
S. Singh
Entering the 21st century, the Internet industry is developing rapidly, and all walks of life are facing huge challenges. How to attract more customers under the huge impact of the Internet is a problem that enterprises urgently need to solve. This article starts with precision marketing and introduces banking products. With the deepening of internet big data technology, the bank has its mobile client and studied how the banking industry uses various means to collect data in the big data environment, establish its user profile, and adjust its marketing strategy. When the bank recommends to users, it must choose an appropriate algorithm to serve its marketing. Collaborative filtering algorithm is the most classic and easy-to-operate recommendation algorithm. This article provides an improved collaborative filtering algorithm, which is a method for calculating the similarity of recent interests related to time. Through this improved collaborative filtering algorithm, it can provide a new reference for the precise marketing of banks.
{"title":"Research on Application of Precision Marketing based on Big Data","authors":"S. Singh","doi":"10.21742/ijsbt.2019.7.1.02","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.1.02","url":null,"abstract":"Entering the 21st century, the Internet industry is developing rapidly, and all walks of life are facing huge challenges. How to attract more customers under the huge impact of the Internet is a problem that enterprises urgently need to solve. This article starts with precision marketing and introduces banking products. With the deepening of internet big data technology, the bank has its mobile client and studied how the banking industry uses various means to collect data in the big data environment, establish its user profile, and adjust its marketing strategy. When the bank recommends to users, it must choose an appropriate algorithm to serve its marketing. Collaborative filtering algorithm is the most classic and easy-to-operate recommendation algorithm. This article provides an improved collaborative filtering algorithm, which is a method for calculating the similarity of recent interests related to time. Through this improved collaborative filtering algorithm, it can provide a new reference for the precise marketing of banks.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115815152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-31DOI: 10.21742/ijsbt.2019.7.1.01
Tanya Street, Jugal Simelane
Based on the rise and wide application of cloud services, this paper proposes and implements a cloud service provider recommendation model based on user needs and preferences. The model consists of three parts. First, based on the needs of users, determine the subjective dimensions of users' demand for cloud services, and realize the measurement of user preferences. Secondly, according to the service capability of the cloud service provider, the ability of the cloud service provider to meet the needs of users is measured. From the perspective of cloud service providers, after determining the indicators that can reflect the service capabilities of cloud service providers, innovatively establish a bridge between service capabilities and user needs. Realize the evaluation of cloud service providers from the perspective of demand realization, that is, to measure their demand satisfaction ability. Finally, according to the recommendation rules in this article, the similarity distance between the user and the candidate cloud service provider based on requirements is compared, and the cloud service provider that matches the user's corresponding needs and preferences is recommended to the user, and personalized decision-making recommendation for the cloud service provider is realized. The recommendation system proposed and implemented in this paper is no longer limited to the evaluation of cloud service providers, but in the recommendation process, it combines the needs and preferences of cloud service users and specific cloud service field characteristics and other information and combines fuzzy evaluation methods. And similar distance and other theories, to give users more satisfactory recommendations, and make personalized recommendations for users.
{"title":"Research on Cloud Service Provider Recommendation Model based on User Preference","authors":"Tanya Street, Jugal Simelane","doi":"10.21742/ijsbt.2019.7.1.01","DOIUrl":"https://doi.org/10.21742/ijsbt.2019.7.1.01","url":null,"abstract":"Based on the rise and wide application of cloud services, this paper proposes and implements a cloud service provider recommendation model based on user needs and preferences. The model consists of three parts. First, based on the needs of users, determine the subjective dimensions of users' demand for cloud services, and realize the measurement of user preferences. Secondly, according to the service capability of the cloud service provider, the ability of the cloud service provider to meet the needs of users is measured. From the perspective of cloud service providers, after determining the indicators that can reflect the service capabilities of cloud service providers, innovatively establish a bridge between service capabilities and user needs. Realize the evaluation of cloud service providers from the perspective of demand realization, that is, to measure their demand satisfaction ability. Finally, according to the recommendation rules in this article, the similarity distance between the user and the candidate cloud service provider based on requirements is compared, and the cloud service provider that matches the user's corresponding needs and preferences is recommended to the user, and personalized decision-making recommendation for the cloud service provider is realized. The recommendation system proposed and implemented in this paper is no longer limited to the evaluation of cloud service providers, but in the recommendation process, it combines the needs and preferences of cloud service users and specific cloud service field characteristics and other information and combines fuzzy evaluation methods. And similar distance and other theories, to give users more satisfactory recommendations, and make personalized recommendations for users.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134096160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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