Heng-Li Yang

Motivations of Wikipedia content contributors

Rapidly developing web technologies have increased the prevalence of user-generated Internet content. Of the many websites with user-generated content on the Internet, one of the most renowned is Wikipedia, which is the largest multilingual free-content encyclopedia written by users collaboratively. Nevertheless, although contributing to Wikipedia takes time and knowledge, contributors are rarely compensated. As a result, there is a need to understand why individuals share their knowledge in Wikipedia. The aim of this study was to evaluate the effects of both conventional and self concept-based motivation on individual willingness to share knowledge in Wikipedia. After performing an online questionnaire survey, SEM was applied to assess the proposed model and hypotheses. The analytical results showed that internal self-concept motivation is the key motivation for knowledge sharing on Wikipedia.

Team structure and team performance in IS development: a social network perspective

Teamwork during IS development (ISD) is an important issue. This paper discusses the relationship betweer team structure and ISD team performance using a social network approach. Based on empirical evidence collected from 125 teams in a system analysis and design course, we found that: (1) Group cohesion was positively related to overall performance. (2) Group conflict indexes were not significantly correlated with overall performance. (3) Group characteristics, e.g., cohesion and conflict, fluctuated in different phases, but in later stages, much less cohesion occurred and the advice network seemed to be very important. (4) Group structures seemed to be a critical factor for good performance.Further in-depth studies were conducted on teams exhibiting the highest and lowest performance to determine their differences from a sociogram analysis perspective.

Creative self-efficacy and its factors: An empirical study of information system analysts and programmers

Based on a survey of 94 information systems developers, this study explored how personal factors (i.e. computer self-efficacy and domain-specific information technology skills), contextual factors (i.e. strength of ties and degree centrality) and creative self-efficacy are related. Regression analysis results demonstrate that system analysts and programmers differ in terms of influencing factors on creative self-efficacy. Domain-specific skills were the main influence in the system analyst model, followed by degree centrality. In comparison, degree centrality was the only influence in the programmer model. Degree centrality exerted a negative influence in both groups. Additionally, among system analysts, the strength of ties slightly influenced creative self-efficacy, while computer self-efficiency and domain-specific information technology skills exerted only small influences on programmers.

Understanding knowledge-sharing behaviour in Wikipedia

Wikipedia is the worlds largest multilingual free-content encyclopaedia written by users collaboratively. It is interesting to investigate why individuals have willingness to spend their time and knowledge to engage in it. In this study, we try to explore the influence of self-concept-based motivation and individual attitudes towards Wikipedia on individuals knowledge-sharing intention in Wikipedia. Members from Wikipedia were invited to participate in the investigation. An online questionnaire and structural equation modelling technology was utilised to test the proposed model and hypotheses. Analytical results indicate that internal self-concept-based motivation significantly influences individuals knowledge-sharing intention. Further, both information and system quality have significant effects on individuals attitude towards Wikipedia, and therefore, influence the intention to share knowledge in it.

Product Placement of Computer Games in Cyberspace

Computer games are considered an emerging media and are even regarded as an advertising channel. By a three-phase experiment, this study investigated the advertising effectiveness of computer games for different product placement forms, product types, and their combinations. As the statistical results revealed, computer games are appropriate for placement advertising. Additionally, different product types and placement forms produced different advertising effectiveness. Optimum combinations of product types and placement forms existed. An advertisement design model is proposed for use in game design environments. Some suggestions are given for advertisers and game companies respectively.

A three‐stage model of requirements elicitation for Web‐based information systems

Although requirement elicitation is generally acknowledged to be very important in traditional information systems development (ISD), it does not get enough attention in most Web‐based information systems development (WISD). This paper highlighted the difference between ISD and WISD, and proposed a three‐stage model of user requirements elicitation for Web‐based information systems. This model divides the requirements definition into three stages: initial analysis, key user requirements elicitation and regular user responses. Most current WIS design methodologies consider only initial analysis, and neglect actual users’ requirements. Key user input is emphasized in this model, and social network analysis is proposed as a tool for identifying key users. Requirements analysis for WISD is no longer considered a one‐stop step, but is better regarded as a continuous evolving process. Finally, managerial implications are also provided in this paper.

Recommender system for software project planning one application of revised CBR algorithm

Project management is an experience-driven and knowledge-centralized activity. Therefore, project managers require some assistance to reduce the uncertainty at the early stage of constructing project plans. To overcome the predicament faced by project managers, this investigation proposes a hierarchical criteria architecture (HCA) to enable project managers to describe project requirements adequately. Furthermore, to solve HCA problems, a revised case-based reasoning (RCBR) algorithm, is presented and a recommender system for software project planning is implemented, based on multiple objectives decision techniques and the mining approach. Finally, the proposed RCBR algorithm is successfully applied to analyze 41 real projects from a software consultancy in Taiwan. Experimental results demonstrate that RCBR can efficiently provide related information to help project managers to construct project plans at an early stage. Additionally, the knowledge discovery process of RCBR provides project managers with results similar to what-if analysis. The knowledge can enable project managers to obtain feasible information to re-schedule project resources, and bargain with their customers in the early project planning stage.

Creativity of student information system projects: From the perspective of network embeddedness

Many companies have pursued innovation to obtain a competitive edge. Thus, educational reform focuses mainly on training creative students. This study adopted the concept of an affiliated network of projects to investigate how project embeddedness influences project team creativity. This work surveys 60 projects in a Management Information Systems Department of a University. Validity of the specific study hypotheses is tested by using moderate hierarchical regression analysis to determine how project embeddedness affects project team creativity and assess how the team innovation climate moderates the relationships between project embeddedness and project team creativity. Analytical results indicate a positive association between structural embeddedness and project team creativity, a negative relationship between positional embeddedness and project team creativity, and a positive influence of team innovation climate on the relationships between network embeddedness and project team creativity. An attempt is also made to understand the role of positional embeddedness by classifying the interactions based on the content of interactions. According to those results, positional embeddedness is positively related to project team creativity during problem-identification interaction; during solution-design interaction, positional embeddedness is negatively related to project team creativity. Results of this study explain the phenomena of divergent thinking and convergent thinking during creative development.

A recommender mechanism based on case-based reasoning

Case-based reasoning (CBR) algorithm is particularly suitable for solving ill-defined and unstructured decision-making problems in many different areas. The traditional CBR algorithm, however, is inappropriate to deal with complicated problems and therefore needs to be further revised. This study thus proposes a next-generation CBR (GCBR) model and algorithm. GCBR presents as a new problem-solving paradigm that is a case-based recommender mechanism for assisting decision making. GCBR can resolve decision-making problems by using hierarchical criteria architecture (HCA) problem representation which involves multiple decision objectives on each level of hierarchical, multiple-level decision criteria, thereby enables decision makers to identify problems more precisely. Additionally, the proposed GCBR can also provide decision makers with series of cases in support of these multiple decision-making stages. GCBR furthermore employs a genetic algorithm in its implementation in order to reduce the effort involved in case evaluation. This study found experimentally that using GCBR for making travel-planning recommendations involved approximately 80% effort than traditional CBR, and therefore concluded that GCBR should be the next generation of case-based reasoning algorithms and can be applied to actual case-based recommender mechanism implementation.

Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations

The application of sentiment analysis, also known as opinion mining, is more difficult in Chinese than in Indo-European languages, due to the compounding nature of Chinese words and phrases, and relatively lack of reliable resources in Chinese. This study used seed words, Chinese morphemes, which are mono-syllabic characters that function as individual words or be combined to create Chinese words and phrases, to classify movie reviews found on Yahoo! Taiwan. We utilized higher Pointwise Mutual Information (PMI) collocations, which consist of selected morpheme-level compounded features to build classifiers. The contributions of this study include the following: (Bird 2006) proposing a method of generating domain-dependent Chinese morphemes directly from large data set without any predefined sentimental resources; (Bradley and Lang 1999) building morpheme-based classifiers applicable in various movie genres, and shown to produce better results than other classifiers based on keywords (NTUSD and HowNet) or feature selection (TFIDF); (Church and Hanks in Computational linguistics, 16(1), 22-29 1990) identifying compounds that have different semantic polarities depending on contexts.