WEBSITE GLOBALIZATION STRATEGY : A CROSS-CULTURAL ANALYSIS OF WEBSITE STRUCTURE

Master'sMASTER OF SCIENC

Digital information support for concept design

This paper outlines the issues in effective utilisation of digital resources in conceptual design. Access to appropriate information acts as stimuli and can lead to better substantiated concepts. This paper addresses the issues of presenting such information in a digital form for effective use, exploring digital libraries and groupware as relevant literature areas, and argues that improved integration of these two technologies is necessary to better support the concept generation task. The development of the LauLima learning environment and digital library is consequently outlined. Despite its attempts to integrate the designers' working space and digital resources, continuing issues in library utilisation and migration of information to design concepts are highlighted through a class study. In light of this, new models of interaction to increase information use are explored

Virtual product experience: The effects of interactivity and task on presence perceptions

Presence perceptions (i.e., perceptions of nonmediation in technology-mediated environments, Lombard & Ditton, 1997) have been demonstrated to influence consumers’ attitudes and intentions in online shopping situations; the factors leading to presence, however, are not well understood. In business-to-consumer e-commerce environments, factors such as task characteristics (i.e., searching versus browsing), object interactivity, and users’ characteristics can influence presence perceptions. A model is presented that demonstrates how a consumer’s task as well as the interactivity of virtual product representations can influence the consumer’s sense of presence, and, subsequently, beliefs about the product and the web site. In order to test the theoretical model, a laboratory experiment has been designed. The expected findings will further the understanding of factors influencing presence perceptions and online buying behavior, and will thus provide prescriptive insights for the design of business-to-consumer e-commerce systems

Trust-Based Techniques for Collective Intelligence in Social Search Systems.

A key-issue for the effectiveness of collaborative decision support systems is the problem of the trustworthiness of the entities involved in the process. Trust has been always used by humans as a form of collective intelligence to support effective decision making process. Computational trust models are becoming now a popular technique across many applications such as cloud computing, p2p networks, wikis, e-commerce sites, social network. The chapter provides an overview of the current landscape of computational models of trust and reputation, and it presents an experimental study case in the domain of social search, where we show how trust techniques can be applied to enhance the quality of social search engine predictions

The Internet Goes to College

Presents findings from a survey of college students at a wide range of 2-year and 4-year public and private colleges and universities. Looks at the impact of Internet usage on students' academic and social routines

Playing with music while shopping online : the effects of interactive music on consumer engagement and behavioral intention

The current study investigates the potential of applying interactive music to the design of e-commerce website in order to create more engaging consumer experience. Through a single-factor experiment with three conditions (the control condition without background music, the static background music condition, the interactive background music condition), behavioral and attitudinal data were collected via Google Analytics and a self-report questionnaire (N = 251). We found that consumers in the interactive music condition were more affectively engaged in the shopping task, regarding the website more novel due to its perceived vividness. This enhanced engagement led to more positive brand attitudes and perceptions and increased users’ behavioral intention to purchase. Additionally, three moderators were found crucial to predict the target audience profile for application of interactive music – existing attitudes of users toward online shopping, price and web features as purchase decision-making factors.Advertisin

A Study of the Effects of Online Advertising: A Focus on Pop-Up and In-Line Ads

Pop-up, pop-under, and in-line ads have been said to be intrusive, and previous findings suggest that they could have important effects on user perception and cognition. Using a 2x2 factorial design, this experimental study examines the effects of those ads. Besides a control group without ads, factors included ad placement (pop-up vs inline) and ad congruence (with the site\u27s content or not). Results indicated that intention to return was impaired by ads; retention of website information was higher when ads were inline or when ads were not congruent with website content; and retention of ad content was higher for inline ads and those that were not congruent to the content of the website. However, contrary to expectations, intentions to return were not affected by ad placement, retention of site content was not affected by the existence of ads, and intrusiveness of ads was not affected by ad congruence

E-book adoption in academic and research libraries

Electronic books (e-books) have grown in importance in Academic and Research Libraries (ARLs). Some ARLs are now spending more on e-book acquisitions than hardcopy books. Whether this investment in e-book provision is justified by adoption outcomes is often the subject of simplistic, rather than rigorous research. This research has attempted to rigorously explore the phenomenon of e-book adoption in a case study ARL, namely, Edith Cowan University (ECU) Library. The study population consisted of ECU academics, students and non-academic staff. The research had three aims. First, by employing a theoretical framework based on technology adoption and information behaviour theory, the study sought explanations of adoption behaviours in the population. In a triangular research design, that included a survey, ECU users were invited to self-describe their own patterns of e-book behaviour. Survey data was used to determine if behaviour observed in transactions could be explained in terms of constructs derived from technology acceptance, information behaviour and other domain theories that seek to understand user interaction with information sources. Next, applying log analysis techniques to system-generated datasets of e-book usage, the researcher documented and analysed patterns of ECU e-book user behaviour in terms of the transaction record. Lastly, the study investigated whether transaction logs could be used with high reliability to profile users’ information behaviour providing the basis of a method for e-book individualisation. The study attempted to profile power users and to derive a predictive method for identifying them in log data. The study found many factors in technology acceptance theory that were significant in terms of adoption behaviour. E-book adoption in the case study ARL was found to be related to culture of use across the dimensions of habit/automaticity, preference for online resources and platforms, and information literacy. E-book collection sufficiency, purpose or task fit, convenience, functionality, and access/copy/print/download provisions were found to be significant in terms of performance expectancy. Dimensions of effort expectancy in finding/searching/reading e-books also significantly affected user behaviour. Other significant relations comprised perceived e-book hedonic attributes (pleasantness of experience, attractiveness of formats), familiarity (awareness, prior experience, differentiability), intimacy (personal likeness, emotional attachment, preferences), facilitating conditions (such as discovery, findability, connectivity/access, courseware embedded links), moderating factors (including respondent category, student programme, age, gender, and experience/years). These factors were found to be significant as sources of gratification and continuance intention. An original contribution to knowledge was also made by deriving a predictive equation for classifying users based on transaction log data. Further, the research developed a new model of higher level information behaviours displayed by sophisticated or so-called ‘power users,’ and generated a model of e-book information behaviour maturity that distinguishes nascent from mature behaviours. The model is grounded in self-reported information behaviour. As an expansive exploration of e-book usage patterns in a case study ARL using multiple methods, the work is also innovative both in terms of scope and as an exploration of e-book adoption in an Australian context. This research is significant in laying the foundations for machine-based user profiling and enhanced individualisation of e-books to make for more satisfying user experience and acceptance of e-books