Prediction model of resistivity and compressive strength of waste LCD glass concrete

Chien-Chih Wang 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.5

The purpose of this study is to establish a prediction model for the electrical resistivity (Er) of self-consolidating concrete by using waste LCD (liquid crystal display) glass as part of the fine aggregate and then, to analyze the results obtained from a series of laboratory tests. A hyperbolic function is used to perform nonlinear multivariate regression analysis of the electrical resistivity prediction model, with parameters such as water-binder ratio (w/b), curing age (t) and waste glass content (G). Furthermore, the relationship of compressive strength and electrical resistivity of waste LCD glass concrete is also found by a logarithm function, while compressive strength is evaluated by the electrical resistivity of non-destructive testing (NDT). According to relative regression analysis, the electrical resistivity and compressive strength prediction models are developed, and the results show that a good agreement is obtained using the proposed prediction models. From the comparison between the predicted analysis values and test results, the MAPE value of electrical resistivity is 17.0-18.2% and less than 20%, the MAPE value of compressive strength evaluated by Er is 5.9-10.6% and nearly less than 10%. Therefore, the prediction models established in this study have good predictive ability for electrical resistivity and compressive strength of waste LCD glass concrete. However, further study is needed in regard to applying the proposed prediction models to other ranges of mixture parameters.

Persuasion effect of e-WOM : The Impact of Involvement and Ambiguity Tolerance

Chih-Chien Wang,Yi-Ting Wang 한국마케팅과학회 2010 마케팅과학연구 Vol.20 No.4

Prior to purchasing a new product, consumers search external information about the product to make a well-informed purchase decision and decrease the potential risk involved in buying products. Due to the popularity of Internet, e-WOM has already become an important information source for many consumers. The current study proposed the idea that the distribution and quantity of electronic word-of-mouth would be related to consumers' purchase intentions. In addition, consumers' personality trait of tolerance of ambiguity and involvement would also be related to purchase intention. Tolerance of ambiguity and personal involvement were as mediators for the influence of e-WOM on purchase intentions. This article conducted three studies in order to investigate the persuasion effects of e-WOM. A restaurant was selected as the target of e-WOM in all the three studies. Authors created a simulated online community for a gourmet restaurant in order to manipulate the experimental variables for the three studies. Study 1 examined the impact of consumers' characteristics of tolerance of ambiguity and involvement on the persuasion effects of e-WOM. This article recruited 122 voluntary participants in an online community. After deleting redundant responses and responses with missing data, a remaining 83 completed responses were accepted for data analysis. Study 1 adopted Partial Least Squares (PLS) to test the influence of involvement and ambiguity tolerance on purchase intention. The explanatory power of the construct was 19.4% for purchase intention and the path linkages from consumers' tolerance of ambiguity and involvement to purchase intention were all significant. This study results displayed that a positive relationship between involvement and purchase intention and a negative relationship between ambiguity tolerance and purchase intention. Study 2 utilized a three factorial design to test the relationship between the quantity of e-WOM and purchase intention. Three web pages containing one, five, or fifteen customer reviews were created as experimental scenarios. Study 2 re-cruited 150 participants in total. After deleting redundant responses and responses with missing data, the remaining 98 completed responses were accepted for data analysis. An ANOVA analysis revealed significant differences in consumers' purchase intention among three groups of e-WOM quantity (F(2,95)=3.55, p

Persuasion effect of e-WOM: The Impact of Involvement and Ambiguity Tolerance

Chih-Chien Wang,Yi-Ting Wang 한국마케팅과학회 2010 마케팅과학연구 Vol.20 No.4

Prior to purchasing a new product, consumers search external information about the product to make a well-informed purchase decision and decrease the potential risk involved in buying products. Due to the popularity of Internet, e-WOM has already become an important information source for many consumers. The current study proposed the idea that the distribution and quantity of electronic word-of-mouth would be related to consumers’ purchase intentions. In addition, consumers’ personality trait of tolerance of ambiguity and involvement would also be related to purchase intention. Tolerance of ambiguity and personal involvement were as mediators for the influence of e-WOM on purchase intentions. This article conducted three studies in order to investigate the persuasion effects of e-WOM. A restaurant was selected as the target of e-WOM in all the three studies. Authors created a simulated online community for a gourmet restaurant in order to manipulate the experimental variables for the three studies. Study 1 examined the impact of consumers’ characteristics of tolerance of ambiguity and involvement on the persuasion effects of e-WOM. This article recruited 122 voluntary participants in an online community. After deleting redundant responses and responses with missing data, a remaining 83 completed responses were accepted for data analysis. Study 1 adopted Partial Least Squares (PLS) to test the influence of involvement and ambiguity tolerance on purchase intention. The explanatory power of the construct was 19.4% for purchase intention and the path linkages from consumers’ tolerance of ambiguity and involvement to purchase intention were all significant. This study results displayed that a positive relationship between involvement and purchase intention and a negative relationship between ambiguity tolerance and purchase intention. Study 2 utilized a three factorial design to test the relationship between the quantity of e-WOM and purchase intention. Three web pages containing one, five, or fifteen customer reviews were created as experimental scenarios. Study 2 recruited 150 participants in total. After deleting redundant responses and responses with missing data, the remaining 98 completed responses were accepted for data analysis. An ANOVA analysis revealed significant differences in consumers’ purchase intention among three groups of e-WOM quantity (F(2,95)=3.55, p<.05). The e-WOMs with five and 15 customer reviews influenced respondents to visit the restaurant, while the e-WOM with one customer review did not. Study 2 also used a t-test analysis to examine the differences in purchase intention between groups of one and 15 customer reviews. The results revealed that high involvement consumers reported higher purchase intentions in the 15 customer review group than in the one customer review (t=2.35, p<.05). Study 3 utilized a three factorial design to test the influence of distribution of e-WOMs on purchase intention. It included three e-WOM rating score distributions: J-shape, U-shape, and inverted U-shape (normal distribution). Study 3 recruited a total of 329 participants. After deleting redundant responses and responses with missing data, the remaining 215 completed responses were accepted for data analysis. ANOVA analysis showed a significant difference in purchase intentions among groups with different e-WOM rating score distributions (F(2, 212)=3.59, p<.05). Participants reported higher intention to dine at the restaurant when the rating score distribution was J-shape. The ANOVA results also found that the impact of e-WOM distribution on persuasion effect existed only in the high involvement group. For high involvement consumers, J-shape e-WOMs increase consumers purchase intention compared to other distributions. Base on the analyses of the three empirical studies, this article revealed that e-WOMs were more persuasive for individuals with high involvement and low ambiguity tolerance. Low ambiguity tol...

Negative Word-of-Mouths in Online Community : Contents and Life Cycles

Wang, Chih-Chien,Wang, Pei-Hua,Yang, Yann-Jy,Yang, Yolande Y.H. Korea Data Strategy Society 2013 Journal of information technology applications & m Vol.20 No.3

Word-of-mouths (WOMs) are now an important information source for purchase decision. Due to the advance in internet technology, people now can share online their consumption experience, both positive and negative, to others. The WOMs may diffuse to not only their friends but also enormous online users. When consumers dissatisfy the product or service, they may share the dissatisfactory experience to others as WOM, which may bring out discussions for the product or service. The discussions on the negative WOM may help to communicate the negative information to enormous others, which may damage the sale of the product or service. The diffusion and life cycle of negative WOM is an important issue for managers. However, few studies focus on it. Thus, the current study focuses on the discussion pattern and life cycle of negative WOMs by observing the 782 discussion articles in a large online community.

Negative Word-of-Mouths in Online Community

Chih-Chien Wang,Pei-Hua Wang,Yann-Jy Yang,Yolande Y. H. Yang 한국데이타베이스학회 2013 Journal of information technology applications & m Vol.20 No.3

Word-of-mouths (WOMs) are now an important information source for purchase decision. Due to the advance in internet technology, people now can share online their consumption experience, both positive and negative, to others. The WOMs may diffuse to not only their friends but also enormous online users. When consumers dissatisfy the product or service, they may share the dissatisfactory experience to others as WOM, which may bring out discussions for the product or service. The discussions on the negative WOM may help to communicate the negative information to enormous others, which may damage the sale of the product or service. The diffusion and life cycle of negative WOM is an important issue for managers. However, few studies focus on it. Thus, the current study focuses on the discussion pattern and life cycle of negative WOMs by observing the 782 discussion articles in a large online community.

Flow and Learning Emotions in Computer Education

Chih-Chien Wang,Kai-Li Wang,Chien-Chang Chen,Yann-Jy Yang 한국데이타베이스학회 2014 Journal of information technology applications & m Vol.21 No.3

It is important to keep learners’ feeling positive during learning to enhance learning performance. According to flow theory,challenge-skill balance is a precondition for flow experience: Learnersfeel anxietywhen the challenge of learning is higher than their ability, feel boredom when the challenge of learning is lower than learners’ ability, and engage in flow status when the challenge of learning matches the learners’ ability. However, the current empirical study reveals that emotions related to enjoyment may appear when the learners’ skill is equal to or higher than the learning challenge. Nevertheless, boredom emotion may appear when learners perceive the courses are difficult but unimportant. These empirical survey results revealed the necessary of rethinking the appearance of boredom and enjoyment emotions in computer education.

Assessment of compressive strength of cement mortar with glass powder from the early strength

Chien-Chih Wang,Chun-Ling Ho,Her-Yung Wang,Chi Tang 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.24 No.2

The sustainable development principle of replacing natural resources with renewable material is an important research topic. In this study, waste LCD (liquid crystal display) glass powder was used to replace cement (0%, 10%, 20% and 30%) through a volumetric method using three water-binder ratios (0.47, 0.59, and 0.71) to make cement mortar. The compressive strength was tested at the ages of 7, 28, 56 and 91 days. The test results show that the compressive strength increases with age but decreases as the water-binder ratio increases. The compressive strength slightly decreases with an increase in the replacement of LCD glass powder at a curing age of 7 days. However, at a curing age of 91 days, the compressive strength is slightly greater than that for the control group (glass powder is 0%). When the water-binder ratios are 0.47, 0.59 and 0.71, the compressive strength of the various replacements increases by 1.38-1.61 times, 1.56-1.80 times and 1.45-2.20 times, respectively, during the aging process from day 7 to day 91. Furthermore, a prediction model of the compressive strength of a cement mortar with waste LCD glass powder was deduced in this study. According to the comparison between the prediction analysis values and test results, the MAPE (mean absolute percentage error) values of the compressive strength are between 2.79% and 5.29%, and less than 10%. Thus, the analytical model established in this study has a good forecasting accuracy. Therefore, the proposed model can be used as a reliable tool for assessing the design strength of cement mortar from early age test results.

A neural-based predictive model of the compressive strength of waste LCD glass concrete

Chih-Han Kao,Chien-Chih Wang,Her-Yung Wang 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.5

The Taiwanese liquid crystal display (LCD) industry has traditionally produced a huge amount of waste glass that is placed in landfills. Waste glass recycling can reduce the material costs of concrete and promote sustainable environmental protection activities. Concrete is always utilized as structural material; thus, the concrete compressive strength with a variety of mixtures must be studied using predictive models to achieve more precise results. To create an efficient waste LCD glass concrete (WLGC) design proportion, the related studies utilized a multivariable regression analysis to develop a compressive strength waste LCD glass concrete equation. The mix design proportion for waste LCD glass and the compressive strength relationship is complex and nonlinear. This results in a prediction weakness for the multivariable regression model during the initial growing phase of the compressive strength of waste LCD glass concrete. Thus, the R ratio for the predictive multivariable regression model is 0.96. Neural networks (NN) have a superior ability to handle nonlinear relationships between multiple variables by incorporating supervised learning. This study developed a multivariable prediction model for the determination of waste LCD glass concrete compressive strength by analyzing a series of laboratory test results and utilizing a neural network algorithm that was obtained in a related prior study. The current study also trained the prediction model for the compressive strength of waste LCD glass by calculating the effects of several types of factor combinations, such as the different number of input variables and the relevant filter for input variables. These types of factor combinations have been adjusted to enhance the predictive ability based on the training mechanism of the NN and the characteristics of waste LCD glass concrete. The selection priority of the input variable strategy is that evaluating relevance is better than adding dimensions for the NN prediction of the compressive strength of WLGC. The prediction ability of the model is examined using test results from the same data pool. The R ratio was determined to be approximately 0.996. Using the appropriate input variables from neural networks, the model validation results indicated that the model prediction attains greater accuracy than the multivariable regression model during the initial growing phase of compressive strength. Therefore, the neural-based predictive model for compressive strength promotes the application of waste LCD glass concrete.

Prediction models of compressive strength and UPV of recycled material cement mortar

Chien-Chih Wang,Her-Yung Wang,Shu-Chuan Chang 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.4

With the rising global environmental awareness on energy saving and carbon reduction, as well as the environmental transition and natural disasters resulted from the greenhouse effect, waste resources should be efficiently used to save environmental space and achieve environmental protection principle of “sustainable development and recycling”. This study used recycled cement mortar and adopted the volumetric method for experimental design, which replaced cement (0%, 10%, 20%, 30%) with recycled materials (fly ash, slag, glass powder) to test compressive strength and ultrasonic pulse velocity (UPV). The hyperbolic function for nonlinear multivariate regression analysis was used to build prediction models, in order to study the effect of different recycled material addition levels (the function of Rm(F, S, G) was used and be a representative of the content of recycled materials, such as fly ash, slag and glass) on the compressive strength and UPV of cement mortar. The calculated results are in accordance with laboratory-measured data, which are the mortar compressive strength and UPV of various mix proportions. From the comparison between the prediction analysis values and test results, the coefficient of determination R2 and MAPE (mean absolute percentage error) value of compressive strength are 0.970-0.988 and 5.57-8.84%, respectively. Furthermore, the R2 and MAPE values for UPV are 0.960-0.987 and 1.52-1.74%, respectively. All of the R2 and MAPE values are closely to 1.0 and less than 10%, respectively. Thus, the prediction models established in this study have excellent predictive ability of compressive strength and UPV for recycled materials applied in cement mortar.

Analyzing Online Fake Business News Communication and the Influence on Stock Price: A Real Case in Taiwan

Wang, Chih-Chien,Chiang, Cheng-Yu Korea Data Strategy Society 2019 Journal of information technology applications & m Vol.26 No.6

On the Internet age, the news is generated and distributed not only by traditional news media, but also by a variety of online news media, news platforms, content websites/content farms, and social media. Since it is an easy task to create and distribute news, some of these news reports may contain fake or false facts. In the end, the cyberspace is full of fake or false messages. People may wonder if these fake news actually influence our decision making. In this paper, we discussed a real case of fake news. In this case, a Taiwanese company used some fake news, advertorial news, and news placement to manipulate or influence its stock price and trade volume. We collected all news for the case company during a period of four years and five months (from January 2013 to May 2017). We analyzed the relationship between published news and stock price. Based on the analysis results, we conclude that we should not ignore the influence of news placement and fake business news on the stock price.