Hsiao-Fang Yang

Creative design by bipartite keygraph based interactive evolutionary computation

Kotler and Trias De Bes (2003) at Lateral Marketing said that in customers designing process the creativity as a kind of lateral transmitting. It meant that the customer would be stimulated by new need to discover a new concept, which could be merged into his design. Therefore, in designing process how to help the designer quickly designed a creative product that was the important problem. The other was that in interactive creative design the designer had to face the fatigue problem. In this paper, we developed a Bipartite KeyGraph based Interactive Evolutionary Computation (BiKIEC), which could collect the interactive data and ran the KeyGraph analysis to find the key components (chance1). And then the bipartite analysis was used to discover the chance2. Finally, the chance3 was the probability for entering the shot-cut in Small World. The BiKIEC emerged some creative components for helping designer designed the creative product. After analyzing the designer interactive data, we found that the product was created by chance mechanism, which was quickly accepted by designer in his design process. Furthermore, the questionnaire results also indicated that the BiKIEC could significantly help the designer to design his favorite product. Therefore, the BiKIEC was a useful tool for helping the designer discovered his creative chance in interactive design process.

A Novel Framework of Consumer Co-creation for New Service Development

Consumer co-creation can be seen as an attractive approach for companies for a variety of reasons. In particular, ideas generated through co-creation will more closely mirror consumers’ needs. Additionally, in Web 2.0, the consumers can be easily post their consuming article on the Internet. In the present study, we develop a new consumer co-creation framework: obtaining consuming data from the Internet, and using Grounded Theory (Strauss and Corbin, 1998) based Human-Centered Computing System (Hong, 2009) to investigate consumers’ needs or creations and to aid the company designing new products or services.

Two Kinds of Weak-tie Strategy for Design Business Opportunity

Support innovative product to cross chasm or assist design innovative product are very important business opportunity for company to occupy market share. In this paper we propose two kinds use of weak-tie to develop meaningful innovation for increasing companies competition.

Framework of early adopters’ incipient and innovative ideas and chance discovery

ABSTRACT The innovative diffusion theory indicates that the key to success of businesses is the innovative ideas of the early adopters. Furthermore, the early adopters’ documents on the Internet were extremely rare; the traditional associative analyses in text mining tend to ignore these useful ideas of the early adopters. In this study, a framework was proposed, which uses low-term frequency (TF), low-term frequency with inverse document frequency and low TF with the inverse clusters frequency, to acquire rare connections between low-frequency terms, to extract early adopters’ incipient and innovative ideas. This new proposed framework amplifies the rare chance to find potential terms which are valuable for businesses’ future. Finally, some observed data obtained from the passengers on airplanes or trains were used to extract the innovative ideas from early adopters. By putting the data into a business scenario, a case study was presented and the feasibility of the framework can therefore be checked by experts. A comparison has been made between the proposed framework and chance discovery. The experimental result evidences that the results in the new framework are more effective than the outcomes of chance discovery method to sift out incipient ideas.

Using Sentiment Analysis to Explore the Association Between News and Housing Prices.

In recent years, semi-structured and unstructured data have received substantial attention. Previous studies on sentiment analysis and opinion mining have indicated that media information features sentiment factors that can affect investor decisions. However, few studies have explored the correlation between news sentiment and housing prices; hence, the present study was conducted to investigate this correlation. A method was proposed to collect and filter news information and analyze the correlation between news sentiment and housing prices. The results indicate that news sentiment can serve as a reference for evaluating housing price trends.

Framework of Early Adopters Roaming among Tribes for Discovering Innovative Creation

Our research pointed out that traditional Data Mining (DM) only construct clusters of consuming products and does not use the relation of consuming products to explore the relation between consumers to develop consuming tribes. So, the social science is not easily for observing any social behavior from result of DM. Our model tend to break through this neck bottle to transform the clusters of mostly bought product to consuming tribes and to find out weak ties, who roams over tribes. And this social phenomenon will bring important information for us, what innovative use of new products will blow a tornado in future.

Business opportunity: the weak-tie roaming among tribes

In this study we assume that the opportunity is already exists in the world. Furthermore, the weak-tie strategy is used to recognize two or more useful tribes and compare what differences between tribes to find out useful infor-mation, such as business opportunity for creating innovative service. At last, this model is used to design new Bali service to evidences our model is useful.

The Chance for Crossing Chasm: Constructing the Bowling Alley

It is widely accepted that the research in innovation diffusion can be divided into two categories. One is to cross the chasm and to carry out the diffusion for innovative products. The other one is to do the diffusion forecast for the innovative products. However, crossing the chasm is the most important issue for innovation diffusion. Accordingly, this research put forward the following logic thinking with an intention to solve the problem of crossing the chasm: When thinking about how to construct a bowling alley in the chasm, we need first of all to make sure whether the bowling pins still exist. Then we move on to observe the gap difference between the two ends of the bowling alley and try to fill the gap difference in order to make the innovation diffusion go smoothly. Under this kind of thinking pattern, this study conducts a case study by adopting a clustering method with multi kinds of clusters in it to identify the bowling pins: First of all, we divide the TAM testing collected samples into two clusters and three clusters. We can observe a newly-formed third cluster which is composed of two sub-clusters. This sub-cluster is made up of partial members from the two-cluster division. These two sub-clusters exist separately at both ends of the chasm. They can also be merged as a new cluster. Therefore, we made an assumption that these two sub-clusters may help to build a bowling alley to cross the chasm. We find that the sub-clusters (the early adopters) derived from the public are exactly the bowling pins. They are the target cluster for innovation diffusion. Moreover, we use HCCS to analyze the difference between two sub-clusters which are derived from the third cluster. We further analyze the innovative use value created by the early adopters in the blogs. Through experts’ brainstorming meeting, we finish organizing a remedial scheme for the difference resulting from these two sub-clusters. At the end, we proceed again to observe the degree of acceptance by the target cluster. The experimental result confirms that the remedial scheme takes on the capacity to influence the early majority in crossing the chasm, which also proves the effectiveness of the research method.

A novel chance model for building innovation diffusion scenario

In order to stay in business, nowadays companies frequently face the problem of choosing new technologies in making new products. To stay in the trend, firms need to sift out useful new technologies from available technologies to gain competitive edges. In this research, we propose a chance model to help creating an innovation diffusion scenario. Three different filtering methods were developed in this model: first, frequent knowledge and outlier were ruled out using upper bound and lower bound of rare chances which were determined by the statistical distribution of skewness. Second, a new event detection method filtered out rare but older event while maximum entropy method filtered out rare but inactive technologies. Third, the diffusion path crossing chasm was discovered and its social influence guaranteeing a successful scenario was estimated. Case study showed the trend of DVD, which followed our model to discover an innovation diffusion scenario; the weak-tie, LIETON-IT, is the diffusion path for diffusing the new technology, H-H DVD-DUAL, into the DVD-DUAL social network. Besides, our model also discovered LIETON-IT owns stronger social influence power to diffuse H-H DVD-DUAL into the social network. The experimental results evidence the usefulness of our model in building innovation diffusion scenario.

Creating chance by new interactive evolutionary computation: bipartite graph based interactive genetic algorithm

In this paper, our model supplies designing environment that used the component network to identify the high score components and weak components which decrease the number of components to build a meaningful and easily analysis simple graph. Secondary analysis is the bipartite network as the method for formatting the structure or the structure knowledge. In this step the different clusters’ components could link each other, but the linkage could not connect the components on same cluster. Furthermore, some weak ties’ components or weak links are emerged by Bipartite Graph based Interactive Genetic Algorithm (BiGIGA) to assemble the creative products for customers. Finally, we investigated two significantly different cases. Case one, the customer did not change his preference, and the Wilcoxon test was used to evaluate the difference between IGA and BiGIGA. The results indicated that our model could correctly and directly capture the customer wanted. Case two, after the Wilcoxon test, it evidenced the lateral transmitting using triad closure extent the conceptual network, which could increase the weight of weak relation and retrieved a good product for the customer. The lateral transmitting did not present its convergent power on evolutionary design, but the lateral transmitting has illustrated that it could quickly discover the customer’s favorite value and recombined the creative product.