An exploratory study of information systems subject indexing

The motivation for detailed study of information systems research subject indexing schemes is explained, along with an analysis of two indexing schemes proposed for use in the area.  A number of reference disciplines are examined for their ability to provide insights and analysis approaches.

What's in a name : using a cue diagnosticity framework to understand consumer product search behaviour

Drawing from the cue diagnosticity framework, this study investigates consumer preference for gathering information about different product attributes. We predict that more specific attributes are more diagnostic and hence will be of greater value to a consumer who is in the process of undertaking a product selection. We test this hypothesis in an online product selection task where respondents can access four different product attributes: brand name, store name, price and warranty. We find that respondents choose to first obtain, almost equally, either brand or price information. We also find part confirmation for the hypothesis that an attribute is more likely to be chosen if it is perceived as having a greater variability in the market.

Conceptual representation for multimedia information

Multimedia information is now routinely available in the forms of text, pictures, animation and sound. Although text objects are relatively easy to deal with (in terms of information search and retrieval), other information bearing objects (such as sound, images, animation) are more difficult to index. Our research is aimed at developing better ways of representing multimedia objects by using a conceptual representation based on Schank's conceptual dependencies. Moreover, the representation allows for users' individual interpretations to be embedded in the system. This will alleviate the problems associated with traditional semantic networks by allowing for coexistence of multiple views of the same information. The viability of the approach is tested, and the preliminary results reported.

Identifying consumers who resist looking for information

Entities like advertisers and public service agencies encounter consumers who are
resistant to searching for information. Resistance to information-search is a latent
phenomenon that has received little attention from marketers (Case, 2007; Levy, Webster & Kerin, 1983).This is perhaps due to difficulties associated with finding and identifying those who are resistant to looking; those who don’t search do not leave a detectable mark. These consumers miss out on information that may help them make better consumption decisions. They also remain uninformed about crucial broadcasts like product recalls and warnings (Capon & Lutz, 1979).

The group purchasing process : an investigation into the influence of the facilitator in alpine tourism

Group travel is a common feature of all tourism markets and can vary from the familiar peer group/common purpose associations of the football and cricket followers to the non-familiar co-operative travel group of the under 35 year olds bus adventures throughout Europe. This study investigates the nature of social group travel in alpine tourism. It specifically examines the phenomena of the "group facilitator"; the person within the group who takes a major role in the travel decisions and organisation on rehalf of all the other members in the travel party. The specific activities of this "group facilitator" and the role of opinion leadership, information search, organisation process, previous experience, relationship ties between the group members are examined. The 'facilitator' also influences other individuals' decision to participate who delegate selection of destination to this person as well. The 'facilitator' has many of the characteristics of an opinion leader and was recognised by group participants as a major source of information about the destination. The findings of the study have important implications for tourism marketers as they highlight an opportunity to reach many potential travellers by directly targeting one key influencer and decision maker.

Media-independent knowledge representation via UMART : unified mental annotation and retrieval tool

Multimedia information is now routinely available in the forms of text, pictures, animation and sound. Although text objects are relatively easy to deal with (in terms of information search and retrieval), other information bearing objects (such as sound, images, animation) are more difficult to index. Our research is aimed at developing better ways of representing multimedia objects by using a conceptual representation based on Schank's conceptual dependencies. Moreover, the representation allows for users' individual interpretations to be embedded in the system. This will alleviate the problems associated with traditional semantic networks by allowing for coexistence of multiple views of the same information. The viability of the approach is tested, and the preliminary results reported.

Effectively finding relevant web pages from linkage information

This paper presents two hyperlink analysis-based algorithms to find relevant pages for a given Web page (URL). The first algorithm comes from the extended cocitation analysis of the Web pages. It is intuitive and easy to implement. The second one takes advantage of linear algebra theories to reveal deeper relationships among the Web pages and to identify relevant pages more precisely and effectively. The experimental results show the feasibility and effectiveness of the algorithms. These algorithms could be used for various Web applications, such as enhancing Web search. The ideas and techniques in this work would be helpful to other Web-related researches.

Information disclosure and corporate governance in listed companies in China: from Yinguangxia to Enron

China's path to the development of a modern securities market has not been a smooth one. This article argues that efforts to impose Western securities market models on China have been fraught with difficulty. This is especially clear from the adoption of information disclosure principles and practices. While the integrity of disclosure practices is a fundamental element in maintaining investors' confidence in securities markets, disclosure practices need to be attuned to China '5 systemic features, especially in regard to its legal structure and rules. Market failures, such as the collapse of Enron in the United States, have led to a realisation that US disclosure models have their own difficulties and that these should not be uncritically used. This article reviews recent Chinese law andpractice (using the Yinguangxia false disclosure scandal as an example) in this area and calls for the adoption of a more critical approach towards the use of Western models with particular regard to China's own distinctive pathways of reform.

A similarity search algorithm to predict protein structures

Accurate prediction of protein structures is very important for many applications such as drug discovery and biotechnology. Building side chains is an essential to get any reliable prediction of the protein structure for any given a protein main chain conformation. Most of the methods that predict side chain conformations use statistically generated data from known protein structures. It is a computationally intractable problem to search suitable side chains from all possible rotamers simultaneously using information of known protein structures. Reducing the number of possibility is a main issue to predict side chain conformation. This paper proposes an enumeration based similarity search algorithm to predict side chain conformations. By introducing “beam search” technique, a significant number of unrelated side chain rotamers can easily be eliminated. As a result, we can search for suitable residue side chains from all possible side chain conformations.

Evidence-based practice and the borders of data in the global information era

This article explores the range of boundaries to negotiate the demands of evidence-based practice. Increasing demands that social work be a profession committed to evidence-based practice have coincided with innovations in information technology, which potentially give social workers unprecedented access to a plethora of sources and types of evidence. Because these innovations can enable access to evidence beyond traditional boundaries, the question of how the author establish the borders of acceptability warrants consideration. Recommendations for a critical approach to selective evidence based for social work interventions are also provided.

Evolutionary structure learning algorithm for Bayesian network and penalized mutual information metric

This paper formulates the problem of learning Bayesian network structures from data as determining the structure that best approximates the probability distribution indicated by the data. A new metric, Penalized Mutual Information metric, is proposed, and a evolutionary algorithm is designed to search for the best structure among alternatives. The experimental results show that this approach is reliable and promising.

Information literacy for a sustainable career in engineering and technology

Information literacy has become an important skill for undergraduate students due to societal changes that have seen information become a valuable commodity, the need for graduates to become lifelong learners to remain effective across their working lives, and the recognition by many stakeholders that information literacy is an underpinning generic skill for effective learning in higher education. Important elements in the design and delivery of information literacy training include the collaborative process between library and academic staff, the need to link generic information literacy skills into the specific discipline context of the students, and catering for a wide diversity in the student body including off-campus students. This paper describes a sequence of activities designed to help students learn and practice information literacy skills that have been purposefully designed and integrated into a first-year engineering and technology study unit as a core element of the unit syllabus.

The portal as information broker

The term information broker is widely used in the area of library and information science to describe a middle agent who deals in information as a commodity, enabling customers to gain more efficient access to quality data. The role of this middle agent is described as “information retrieval and information organisation” (Rugge & Glossbrenner, 1995). The role of the broker is to bring additional organisation to the market by lowering search costs (Palmer & Lindemann, 2003).

A resource-search and routing algorithm within PCDN autonomy area

This paper studied a new type of network model; it is formed by the dynamic autonomy area, the structured source servers and the proxy servers. The new network model satisfies the dynamics within the autonomy area, where each node undertakes different tasks according to their different abilities, to ensure that each node has the load ability fit its own; it does not need to exchange information via the central servers, so it can carry out the efficient data transmission and routing search. According to the highly dynamics of the autonomy area, we established dynamic tree structure-proliferation system routing and resource-search algorithms and simulated these algorithms. Test results show the performance of the proposed network model and the algorithms are very stable.