Mu-Hua Lin

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.

The Framework of Discovery Early Adopters’ Incipient Innovative Ideas

Crossing the chasm between early adopters and early majority in the market is not only an important issue for innovation diffusion, but also important information for firms to have the chance to occupy position and get great business success. Additionally, consumers can easily share their consumer-related articles through various IT blogs with Web 2.0, hence there is a big consuming data on the Internet. This research tried to discover incipient innovative ideas from early adopters to help firms to win the business. A new textual association analysis (Term Frequency - Inverse Clusters Frequency, TF-ICF) framework is a methodology to discover the more rare and useful ideas for designing future innovative business service. In the present study, TF-ICF methodology does not only find what instant foods or entertainment are needed for the passengers on travelling vehicles, but also reveal that the moisturizing emulation is another possible need of theirs. The results show that the TF-ICF method is useful to discover early adopters’ incipient innovative ideas.

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 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.

Using the advertisement of early adopters' innovativeness to investigate the majority acceptance

It is important to find a way to across the gap of innovation and ease the process of innovation diffusion. A method for innovation diffusion is also important to launch a new product successfully to the market. According to the innovation diffusion model proposed by Rogers, early adopters hold the key points and features to across the innovation gap. Thus, this research intends to collect the information of usage values of innovative products written by early adopters via HCCS. A questionnaire is designed to investigate whether freshmen of university (i.e., the majority) would be convinced by the information from early adopters and have higher willingness to use the new product. This experimental result reveals that 14% of additional freshmen in the experimental group (comparing to those in the control group) agree with the values of technological features of netbook computers in entertainment. The result indicates that using the proposed method to assist a new product to market has a high possibility to across the innovation gap. This research also proved a new way to predict the acceptance rate of the majority to a new technology in the early stage of joining in the market. The prediction can be used to assist a company to enter the market earlier and to consolidate its position. It is a managerial contribution of this research.

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.

The interactive evolutionary computation based on the social distance to extend the keygraph

In this study we combined the Kotler and Trias De Bes (2003) at Lateral Marketing had defined “what is the creativity” with the watts Social Affiliation graph to extend the KeyGraph and discovered the chance (creative probability) or decreased the length of searching path. In our model, firstly we based on the KeyGraph chose the important keyterms as the selection in IEC. Secondly, the recombining mechanism as the crossover in IEC, it according to the merging probability extends the KeyGraph. And the mutation was as long distance changing mechanism in our Affiliation graph IEC (AGIEC) model. Finally we applied this model for cell phone design and from the interactive data found that the choosing and recombining mechanism as we expected the KeyGraph was based on the social distance extent to the preferable components and brought the effectively creative product. And the long distance mutating mechanism worked as lateral transmitting phenomenon and it could bring the spurring for the designer.