6107762
Re-examining IT Enabled Change with a New Model of the Information Field: The Tiger Creek Case
This paper demonstrates the application of a new model of the information field (I-model) (Zhang & Benjamin 2006) to deconstructing case studies in the information field so that they can be easily analyzed, understood and compared. The expense tracking system at Tiger Creek case (Zuboff & Bronsema 1984) is selected owing to it beings historically important in illustrating various issues brought by informated change (Zuboff 1989), and changes in the traditional command and control process (Benjamin & Levinson 1993). Our re-examination of the case using the I-model highlights the dynamics and complex issues resulted when access to information modifies the power relationships in organizations that seem ever present in IT implementations. It also sheds new insight on research in IT-enabled change. We conclude that the I-model can provide a framework for analyzing other cases in the information field
2843157
Expectations and rankings of Web site quality features: results of two studies on user perceptions
In the emerging electronic environment, the creation of customer-centered Web sites is becoming increasingly important. We report on two exploratory studies on user perceptions of using Web sites. We first use Kano's (1984) Model of Quality to conduct an investigation of quality features in the Web environment. An independently conducted study later expands the first study by addressing several limitations. The results of both studies suggest that: the Kano quality model can be used as a framework to control Web site quality in terms of three quality types and the time transition of the quality nature; not every feature is regarded as equally important within a Web domain; and different domains have different rankings of important features, although there are certain features that are regarded as highly important among domains studied. These studies provide some empirical evidence on user perceptions of Web site quality features and lead to further theoretical investigations.
1522370
A two factor theory for Website design
This study was designed to verify whether an analogy to Herzberg's hygiene-motivational theory about workplace could be used in the Web environment. According to this analogy, the presence of hygiene factors would provide the basic functionality of a Web site, while their absence would create user dissatisfaction. Motivating factors are those that contribute to user satisfaction. They add additional value and may entice users to keep returning to a Web site. In Phase I, we identified 44 core features in the Web environment that were classified into 12 categories by subjects. In Phase II, a different group of subjects in a pilot study were asked to distinguish between the hygiene and motivational characteristics of these features and categories. The preliminary results show that 4 categories and 14 features were judged to be primarily motivational, while 3 categories and 13 features were perceived to be primarily hygiene in nature. The remaining 5 categories and 17 features were perceived to be both.
27857321
Human-computer interaction research in the management information systems discipline
Research in Human-Computer Interaction (HCI) crosses various disciplines, including Management Information Systems (MIS), Computer Science, Industrial Engineering, Information Science, Psychology, Sociology, and Anthropology (Nah et al., 2005). Recent years have witnessed a steady growth of HCI research in the MIS discipline (Zhang et al., 2002; Zhang and Dillon 2003; Zhang et al., 2004; Nah et al., 2005; Zhang and Li, 2005; Zhang et al., 2005). HCI has become an important theme at major MIS conferences while cross-disciplinary research in HCI is also increasing. In this special section, we showcase exemplary HCI research in MIS. It is our hope that the sharing of these works with the HCI community in other disciplines will help to develop more synergy across areas.
5702445
The role of moderating factors in user technology acceptance
Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended and unified. These models have contributed to our understanding of user technology acceptance factors and their relationships. Yet they have also presented two limitations: the relatively low explanatory power and inconsistent influences of the factors across studies. Several researchers have recently started to examine the potential moderating effects that may overcome these limitations. However, studies in this direction are far from being conclusive. This study attempts to provide a systematic analysis of the explanatory and situational limitations of existing technology acceptance studies. Ten moderating factors are identified and categorized into three groups: organizational factors, technological factors and individual factors. An integrative model is subsequently established, followed by corresponding propositions pertaining to the moderating factors.
42335642
On the dimension of trees
We consider isometric embedding of trees into the infinite graph Z"m whose vertices are the m-dimensional lattice points where two vertices a=(a"1,a"2,...,a"m) and b=(b"1,b"2,...,b"m) are adjacent if and only if |a"i-b"i|=<1 for 1=
1895171
Data mining for selective visualization of large spatial datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets to look for patterns. However the growing volume of spatial datasets make it difficult for humans to browse such datasets in their entirety, and data mining algorithms are needed to filter out large uninteresting parts of spatial datasets. We construct a web-based visualization software package for observing the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out vast parts of datasets for spatial outlier patterns. The algorithms were implemented and tested with a real-world set of Minneapolis-St. Paul (Twin Cities) traffic data.
1869201
Connected Resolving Sets in Graphs
10549314
The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community
Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.
6799021
Task-based interaction with an integrated multilingual, multimedia information system: a formative evaluation
This paper describes a formative evaluation of an integrated multilingual, multimedia information system, a series of user studies designed to guide system development. The system includes automatic speech recognition for English, Chinese, and Arabic, automatic translation from Chinese and Arabic into English, and query-based and profile-based search options. The study design emphasizes repeated evaluation with the same (increasingly experienced) participants, exploration of alternative task designs, rich qualitative and quantitative data collection, and rapid analysis to provide the timely feedback needed to support iterative and responsive development. Results indicate that users presented with materials in a language that they do not know can generate remarkably useful work products, but that integration of transcription, translation, search and profile management poses challenges that would be less evident were each technology to be evaluated in isolation.