Pub Date : 2020-07-01DOI: 10.4018/ijisss.2020070102
Hui-chuan Chen, Szu-Yuan Sun, Li-Shan Chen
E-commerce and online shopping have changed the retail environment. At present, companies rely on extensive customization of information systems and business processes in order to provide enhanced online customer service experiences. In today's rapidly expanding service economy, businesses need more service capabilities in order to outperform competitors. The authors identify four capabilities: innovation-based, marketing-based, collaborative, and absorptive to assess the relationship of these capabilities of online shopping websites in relation to the firm's value offering to its online customers. The results indicate that capabilities indeed play an important role for online shopping providers in the area of value creation for online consumers. This suggests to online retailers that capabilities have a positive effect on value offerings; thus, it is imperative that firms use more of their resources to develop capabilities.
{"title":"Impact of Capabilities on Firm Value Offering in the E-Commerce Service Setting","authors":"Hui-chuan Chen, Szu-Yuan Sun, Li-Shan Chen","doi":"10.4018/ijisss.2020070102","DOIUrl":"https://doi.org/10.4018/ijisss.2020070102","url":null,"abstract":"E-commerce and online shopping have changed the retail environment. At present, companies rely on extensive customization of information systems and business processes in order to provide enhanced online customer service experiences. In today's rapidly expanding service economy, businesses need more service capabilities in order to outperform competitors. The authors identify four capabilities: innovation-based, marketing-based, collaborative, and absorptive to assess the relationship of these capabilities of online shopping websites in relation to the firm's value offering to its online customers. The results indicate that capabilities indeed play an important role for online shopping providers in the area of value creation for online consumers. This suggests to online retailers that capabilities have a positive effect on value offerings; thus, it is imperative that firms use more of their resources to develop capabilities.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671916","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 : 2020-04-01DOI: 10.4018/ijisss.2020040101
Jing-Jing Lai, Nai-Yuan Pai, Wenchang Wang
In 2018, the number of internet users in Taiwan reached 18.66 million. The online rate was 79.2%, which was 0.4% higher than that in 2017. Moreover, the annual growth rate of Taiwan's online shopping market is double digits, suggesting the rapid expansion of online shops and the popular trend in online shopping. Managing a store on the internet platform offers many advantages, such as low operating cost, cheaper fees, greater sources of customers, and keyword marketing. As online shopping becomes prevalent in Taiwan, online shops are considered effective sales channels. Among the online shops, there are many small organic shops operated by farmers, as well as chain organic stores. However, researches on Taiwan's online purchase and sales of organic agricultural products (vegetables and fruits) are very sparse. The subjects were mostly urban women, who are white-collar workers, have middle to upper income levels, a high level of education, and are highly frequent internet shoppers. The findings indicate that in the booming online shopping market, urban women's attitude and perceived behavioral control positively, affect their intention to buy organic agricultural products (vegetables and fruits) online. Chain stores and farmers should consider internet marketing as an important sales channel targeting urban women.
{"title":"The Environmental Awareness Influence Urban Female's Purchasing Intention of Organic Agricultural Products","authors":"Jing-Jing Lai, Nai-Yuan Pai, Wenchang Wang","doi":"10.4018/ijisss.2020040101","DOIUrl":"https://doi.org/10.4018/ijisss.2020040101","url":null,"abstract":"In 2018, the number of internet users in Taiwan reached 18.66 million. The online rate was 79.2%, which was 0.4% higher than that in 2017. Moreover, the annual growth rate of Taiwan's online shopping market is double digits, suggesting the rapid expansion of online shops and the popular trend in online shopping. Managing a store on the internet platform offers many advantages, such as low operating cost, cheaper fees, greater sources of customers, and keyword marketing. As online shopping becomes prevalent in Taiwan, online shops are considered effective sales channels. Among the online shops, there are many small organic shops operated by farmers, as well as chain organic stores. However, researches on Taiwan's online purchase and sales of organic agricultural products (vegetables and fruits) are very sparse. The subjects were mostly urban women, who are white-collar workers, have middle to upper income levels, a high level of education, and are highly frequent internet shoppers. The findings indicate that in the booming online shopping market, urban women's attitude and perceived behavioral control positively, affect their intention to buy organic agricultural products (vegetables and fruits) online. Chain stores and farmers should consider internet marketing as an important sales channel targeting urban women.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122418876","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 : 2020-04-01DOI: 10.4018/ijisss.2020040104
M. Xiang
In order to evaluate the quality of online reservation hotel APP, RBF neural and support vector machine are used to evaluate the quality of online reservation hotel APP. First, the basic theory of the RBF neural network is studied, and the training algorithm of the RBF neural network is designed. Second, the basic model of support vector machine is analyzed, and the training algorithm is designed. Third, the evaluation index system of online reservation hotel APP is designed, and the weight of every index is established based on questionnaires and expert interview, and the evaluation simulation is carried out for 25 online reservation hotel APP, results show that the RBF neural network and support vector machine can obtain consistent evaluation results, and the support vector machine has better evaluation performance.
{"title":"Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine","authors":"M. Xiang","doi":"10.4018/ijisss.2020040104","DOIUrl":"https://doi.org/10.4018/ijisss.2020040104","url":null,"abstract":"In order to evaluate the quality of online reservation hotel APP, RBF neural and support vector machine are used to evaluate the quality of online reservation hotel APP. First, the basic theory of the RBF neural network is studied, and the training algorithm of the RBF neural network is designed. Second, the basic model of support vector machine is analyzed, and the training algorithm is designed. Third, the evaluation index system of online reservation hotel APP is designed, and the weight of every index is established based on questionnaires and expert interview, and the evaluation simulation is carried out for 25 online reservation hotel APP, results show that the RBF neural network and support vector machine can obtain consistent evaluation results, and the support vector machine has better evaluation performance.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621163","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}
Extracting keywords from a text set is an important task. Most of the previous studies extract keywords from a single text. Using the key topics in the text collection, the association relationship between the topic and the topic in the cross-text, and the association relationship between the words and the words in the cross-text has not played an important role in the previous method of extracting keywords from the text collection. In order to improve the accuracy of extracting keywords from text collections, using the semantic relationship between topics and topics in texts and highlighting the semantic relationship between words and words under the key topics, this article proposes an unsupervised method for mining keywords from short text collections. In this method, a two level semantic association model is used to link the semantic relations between topics and the semantic relations between words, and extract the key words based on the combined action. First, the text is represented with LDA; the authors used word2vec to calculate the semantic association between topic and topic, and build a semantic relation graph between topics, that is the upper level graph, and use a graph ranking algorithm to calculate each topic score. In the lower layer, the semantic association between words and words is calculated by using the topic scores and the relationship between topics in the upper network allow a graph to be constructed. Using a graph sorting algorithm sorts the words in short text sets to determine the keywords. The experimental results show that the method is better for extracting keywords from the text set, especially in short articles. In the text, the important topics, the relationship between topics and the correlation between words can improve the accuracy of extracting keywords from the text set.
{"title":"Mining Keywords from Short Text Based on LDA-Based Hierarchical Semantic Graph Model","authors":"Wei Chen, Zhengtao Yu, Yantuan Xian, Zhenhan Wang, Yonghua Wen","doi":"10.4018/ijisss.2020040106","DOIUrl":"https://doi.org/10.4018/ijisss.2020040106","url":null,"abstract":"Extracting keywords from a text set is an important task. Most of the previous studies extract keywords from a single text. Using the key topics in the text collection, the association relationship between the topic and the topic in the cross-text, and the association relationship between the words and the words in the cross-text has not played an important role in the previous method of extracting keywords from the text collection. In order to improve the accuracy of extracting keywords from text collections, using the semantic relationship between topics and topics in texts and highlighting the semantic relationship between words and words under the key topics, this article proposes an unsupervised method for mining keywords from short text collections. In this method, a two level semantic association model is used to link the semantic relations between topics and the semantic relations between words, and extract the key words based on the combined action. First, the text is represented with LDA; the authors used word2vec to calculate the semantic association between topic and topic, and build a semantic relation graph between topics, that is the upper level graph, and use a graph ranking algorithm to calculate each topic score. In the lower layer, the semantic association between words and words is calculated by using the topic scores and the relationship between topics in the upper network allow a graph to be constructed. Using a graph sorting algorithm sorts the words in short text sets to determine the keywords. The experimental results show that the method is better for extracting keywords from the text set, especially in short articles. In the text, the important topics, the relationship between topics and the correlation between words can improve the accuracy of extracting keywords from the text set.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121206998","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 : 2020-04-01DOI: 10.4018/ijisss.2020040105
Yuan-Lin Dong, Shilun Zhang, Yuanlin Huang
Project management is a sub-discipline of management. Using specialized knowledge, skills, tools, and methods in project activities enables the project to meet or exceed set requirements and desired processes under limited resource constraints. Project management is the overall monitoring and control of activities that are successful in achieving a range of goals. This includes planning, scheduling, and maintaining the progress of the activities that make up the project. A project is a one-time task that needs to be completed within a defined resource and within a limited time. Specifically, it can be a project, a service, a research topic, and an activity. Project management education reflects the characteristics of education and can better solve the problem of the quality of education personnel training and the needs of social talents. Project management education is an inevitable choice for reform.
{"title":"Construction of Educational Quality Evaluation Index System Based on Project Management","authors":"Yuan-Lin Dong, Shilun Zhang, Yuanlin Huang","doi":"10.4018/ijisss.2020040105","DOIUrl":"https://doi.org/10.4018/ijisss.2020040105","url":null,"abstract":"Project management is a sub-discipline of management. Using specialized knowledge, skills, tools, and methods in project activities enables the project to meet or exceed set requirements and desired processes under limited resource constraints. Project management is the overall monitoring and control of activities that are successful in achieving a range of goals. This includes planning, scheduling, and maintaining the progress of the activities that make up the project. A project is a one-time task that needs to be completed within a defined resource and within a limited time. Specifically, it can be a project, a service, a research topic, and an activity. Project management education reflects the characteristics of education and can better solve the problem of the quality of education personnel training and the needs of social talents. Project management education is an inevitable choice for reform.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119142","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 : 2020-04-01DOI: 10.4018/ijisss.2020040102
Meijuan Li, Qiming Tang
The telecom industry is a typical oligopolistic industry, so telecom carriers are easy to conspire in the course of operation. This article analyzes the influence of product quality differentiation on telecom carrier collusion by constructing a game model. The results show that the critical discount factor that keeps telecom carriers persisting in collusion increases with the decrease of product quality differentiation, that is, the smaller the product quality differentiation is, the harder it is for telecom carriers to adhere to long-term collusion. Conversely, the greater the product quality differentiation is, the greater the risk of a large number of users leaving the network can be when telecom carriers betray the collusion, so they will not easily betray it. Therefore, the product quality differentiation is conducive to the realization and maintenance of telecom carrier collusion. At the same time, telecom carriers that provide different quality products have different incentives for collusion, among which those providing low-quality products are more likely to persist in collusion. What is more, this article also finds that China's telecom industry has great product quality differentiation in the full-service operation, so when telecom carriers pursue the differentiation development of product quality, the government should take corresponding measures to prevent their collusion.
{"title":"The Influence of Product Quality Differentiation on Telecom Carriers' Collusion","authors":"Meijuan Li, Qiming Tang","doi":"10.4018/ijisss.2020040102","DOIUrl":"https://doi.org/10.4018/ijisss.2020040102","url":null,"abstract":"The telecom industry is a typical oligopolistic industry, so telecom carriers are easy to conspire in the course of operation. This article analyzes the influence of product quality differentiation on telecom carrier collusion by constructing a game model. The results show that the critical discount factor that keeps telecom carriers persisting in collusion increases with the decrease of product quality differentiation, that is, the smaller the product quality differentiation is, the harder it is for telecom carriers to adhere to long-term collusion. Conversely, the greater the product quality differentiation is, the greater the risk of a large number of users leaving the network can be when telecom carriers betray the collusion, so they will not easily betray it. Therefore, the product quality differentiation is conducive to the realization and maintenance of telecom carrier collusion. At the same time, telecom carriers that provide different quality products have different incentives for collusion, among which those providing low-quality products are more likely to persist in collusion. What is more, this article also finds that China's telecom industry has great product quality differentiation in the full-service operation, so when telecom carriers pursue the differentiation development of product quality, the government should take corresponding measures to prevent their collusion.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115192339","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 : 2020-01-01DOI: 10.4018/ijisss.2020010106
Rui Li, Qiuyan Tao
This paper aims to solve the “paradox” between strength of tie and technology newness from a new perspective. It intends to disclose that technology newness depends on combinations of tie strengths of different types of actors in a network rather than one type of actor's tie strength. To do so, a qualitative comparative analysis is conducted based on 166 knowledge-intensive firms in Beijing Zhongguancun High-Tech Park. Results suggest that there are three combinations of different types of actors' tie strength sufficient for technology newness, and strong tie with firms is a necessary condition for technology newness. Results confirm that tie strength with an individual type of actors have complex trade-off effects and that only specific combinations of tie strength with different types of actors in an innovation network act as sufficient conditions for technology newness. The result tends to show that balanced and scientific management of relationship between focal firms and different actors in a network is of great importance to technology innovation and strategy making.
{"title":"The Impact of Configuration of Ties With Different Types of Actors in an Innovation Network on Technology Newness Based on QCA","authors":"Rui Li, Qiuyan Tao","doi":"10.4018/ijisss.2020010106","DOIUrl":"https://doi.org/10.4018/ijisss.2020010106","url":null,"abstract":"This paper aims to solve the “paradox” between strength of tie and technology newness from a new perspective. It intends to disclose that technology newness depends on combinations of tie strengths of different types of actors in a network rather than one type of actor's tie strength. To do so, a qualitative comparative analysis is conducted based on 166 knowledge-intensive firms in Beijing Zhongguancun High-Tech Park. Results suggest that there are three combinations of different types of actors' tie strength sufficient for technology newness, and strong tie with firms is a necessary condition for technology newness. Results confirm that tie strength with an individual type of actors have complex trade-off effects and that only specific combinations of tie strength with different types of actors in an innovation network act as sufficient conditions for technology newness. The result tends to show that balanced and scientific management of relationship between focal firms and different actors in a network is of great importance to technology innovation and strategy making.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526415","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 : 2019-10-01DOI: 10.4018/ijisss.2019100101
C. Ramos, Ana-María Casado-Molina, J. I. Peláez
Banking companies aiming to maintain their sustainability in financial markets need to develop an integrated management based on the most important intangibles assets of relational capital. Decision- makers need to analyze and understand a huge volume of opinions continuously generated in digital ecosystems about emotions and feelings that their stakeholders associate with the performance and communication of the brand. Current tools of management fail to consider transversal and holistic models, which study the frequency and value of existing relationships between the relational capital and intangible assets. In this research, an innovative management model based on reputation intelligence is proposed. This model incorporates methodology from business intelligence models, through OLAP and data mining techniques, to analyses the complex relationships among intangible assets experience, emotion and attitude. The proposed model was applied to companies in the banking sector and the results obtained permit a conclusion about the kinds of relationships for these intangibles in each bank.
{"title":"An Innovative Management Perspective for Organizations through a Reputation Intelligence Management Model","authors":"C. Ramos, Ana-María Casado-Molina, J. I. Peláez","doi":"10.4018/ijisss.2019100101","DOIUrl":"https://doi.org/10.4018/ijisss.2019100101","url":null,"abstract":"Banking companies aiming to maintain their sustainability in financial markets need to develop an integrated management based on the most important intangibles assets of relational capital. Decision- makers need to analyze and understand a huge volume of opinions continuously generated in digital ecosystems about emotions and feelings that their stakeholders associate with the performance and communication of the brand. Current tools of management fail to consider transversal and holistic models, which study the frequency and value of existing relationships between the relational capital and intangible assets. In this research, an innovative management model based on reputation intelligence is proposed. This model incorporates methodology from business intelligence models, through OLAP and data mining techniques, to analyses the complex relationships among intangible assets experience, emotion and attitude. The proposed model was applied to companies in the banking sector and the results obtained permit a conclusion about the kinds of relationships for these intangibles in each bank.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130727487","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 : 2019-10-01DOI: 10.4018/ijisss.2019100102
H. Ramchoun, M. J. Idrissi, Y. Ghanou, M. Ettaouil
Multilayer perceptron has a large amount of classifications and regression applications in many fields: pattern recognition, voice, and classification problems. But the architecture choice in particular, the activation function type used for each neuron has a great impact on the convergence and performance. In the present article, the authors introduce a new approach to optimize the selection of network architecture, weights, and activation functions. To solve the obtained model the authors use a genetic algorithm and train the network with a back-propagation method. The numerical results show the effectiveness of the approach shown in this article, and the advantages of the new model compared to the existing previous model in the literature.
{"title":"Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions","authors":"H. Ramchoun, M. J. Idrissi, Y. Ghanou, M. Ettaouil","doi":"10.4018/ijisss.2019100102","DOIUrl":"https://doi.org/10.4018/ijisss.2019100102","url":null,"abstract":"Multilayer perceptron has a large amount of classifications and regression applications in many fields: pattern recognition, voice, and classification problems. But the architecture choice in particular, the activation function type used for each neuron has a great impact on the convergence and performance. In the present article, the authors introduce a new approach to optimize the selection of network architecture, weights, and activation functions. To solve the obtained model the authors use a genetic algorithm and train the network with a back-propagation method. The numerical results show the effectiveness of the approach shown in this article, and the advantages of the new model compared to the existing previous model in the literature.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396888","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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