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... Show More

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.

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... Show More

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.

This article applies the classic Black-Scholes model (i.e. B-S model) and turnover rate adapted B-S model (revised B-S model) to equity incentive valuation of listed companies. Unlike other studies... Show More

This article applies the classic Black-Scholes model (i.e. B-S model) and turnover rate adapted B-S model (revised B-S model) to equity incentive valuation of listed companies. Unlike other studies on equity incentive valuation which generally adopt historical volatility, this article applies the GARCH model to equity incentive valuation. The volatility of stock price is estimated by the GARCH model to improve the accuracy of equity incentive valuation. The turnover rate has an important impact on the equity incentive valuation of listed companies. Considering the turnover rate can improve the accuracy of the equity incentive valuation and reduce the error of equity incentive valuation. Through the case study of the equity incentive valuation of Infinova, the practicality of the equity incentive valuation method is further verified.

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... Show More

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.

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... Show More

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.

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... Show More

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.