A flexible receiver-driven cache replacement scheme for continuous media objects in best-effort networks

In this paper, we investigate the potential of caching to improve quality of reception (QoR) in the context of continuous media applications over best-effort networks. Specifically, we investigate the influence of parameters such as loss rate, jitter, delay and area in determining a proxy's cache contents. We propose the use of a flexible cost function in caching algorithms and develop a framework for benchmarking continuous media caching algorithms. The cost function incorporates parameters in which, an administrator and or a client can tune to influence a proxy's cache. Traditional caching systems typically base decisions around static schemes that do not take into account the interest of their receiver pool. Based on the flexible cost function, an improvised Greedy Dual (GD) algorithm called GD-multi has been developed for layered multiresolution multimedia streams. The effectiveness of the proposed scheme is evaluated by simulation-based performance studies. Performance of several caching schemes are evaluated and compared with those of the proposed scheme. Our empirical results indicate GD-multi performs well despite employing a generalized caching policy.

Consideration of selflessness and self-interest in outsourcing decisions

Purpose – The paper aims to discuss the need to balance selflessness and self-interest issues in outsourcing decisions. This discussion is timely given the tensions that currently exist between those who want off-shore outsourcing to continue as a means for increasing international trade, and those who only want to conduct business on-shore.

Design/methodology/approach – A conceptual approach has been taken in this paper in order to highlight key considerations for ethical decision-making with respect to off-shore outsourcing.

Findings – Considerations of selflessness and self-interest are embedded in outsourcing decisions. It is recommended that a balance between making profits and fulfilling social responsibilities is required, ideally, at each stage of decision-making. Hence, managers should think critically about the reasons behind off-shore outsourcing decisions, the process of arriving at decisions, and the impact of their decisions on stakeholders.

Research limitations/implications – This is a conceptual paper and further empirical data to validate the stages of decision-making framework are required.

Practical implications – Failure to take into account the selflessness and self-interest outcomes of off-shore outsourcing could potentially off-set strategic gains by leading to negative media publicity for a company.

Social implications – Ethical considerations as part of outsourcing decisions should result in a transparent, fair and more humane working environment for both the host and the home country representatives involved in the process.

Originality/value – This paper presents an original framework of selflessness and self-interest considerations when making off-shore outsourcing decisions. Both Eastern and Western business perspectives have been incorporated as part of the decision-making framework.

The human nexus – a practical framework for inspiring trust and making ethical decisions

This overview of David Hume’s wide-ranging observations is a matrix portraying the key elements of a pragmatic pathway to a moral decision that can be applied in any situation where organisational decisions need to be made. 

Usability testing: a client-centred approach to innovation

Systematic usability testing of the library website was unheard of at Deakin University Library three years ago. However, over the last two years, a large scale usability testing program has evolved and various methodologies have been trialled and tested by the team. This paper will discuss the methodologies used by the team, and the changes that were made to the Library’s search interfaces as a result of the studies. The paper will provide useful insights on what we did right, and on what we need to do differently in future usability studies.

Accepting the unacceptable : patriarchal hegemony and child support arrangements

This research explored how low-income single mothers' child support decisions were based on the 'best interests of the child'. While mothers desired joint financial responsibility for children, poor payment outcomes made mothers financially dependent on the state and resulted in single mothers' coerced acceptance of unacceptable child support arrangements.

Combination of decisions from a multiple neural network classifier system

In this paper, a study of the effectiveness of a multiple classifier system (MCS) in a medical diagnostic task is described. A hybrid network, based on the integration of a fuzzy ARTMAP and the probabilistic neural network, is employed as the basis of the MCS. Outputs from multiple networks are combined using some decision combination method to reach a final prediction. By using a real medical database, a set of experiments has been conducted to evaluate the performance of the MSC with different network configurations. The experimental results reveal the potential of the MCS as a useful decision support tool in the medical field.

Individually tailored client-focused reports for ubiquitous devices : an experimental analysis

We describe results of a test of a method for tailoring communications based on the recipient’s preferred information processing style and dominant motivational attitude. Results indicate that the greater the match between the style of the report and the individual’s attributes, the more informed the reader feels about the subject of the report. This research has been conducted as part of a study into methods to design patient-centred medical using diabetic patients as an exemplar of chronic disease. The long term aim is to use reports personalised to the recipient to better inform patients about their disease and strengthen their motivation to follow the treatment plan.

Predicting the acceptance of unit guide information systems

Information Systems can play an important role in ensuring and improving the quality of education provided. However, lack of acceptance of these information systems and resistance of technology innovations by the end users limit the expected benefits of the system. This research attempts to identify the key determinants for the acceptance of the Unit Guide Information Systems (UGIS) in the Australian higher education sector. The technology acceptance model (TAM), social cognitive theory (SCT) and model of PC utilization (MPCU) are combined to provide a new framework for this analysis. Results of the study are consistent with the technology acceptance factors for explaining the behavioural intention of the academics. The study also shows the effects of application specific self-efficacy, application specific anxiety and social influence on the acceptance of UGIS. Implications of the results are discussed within the context of unit guides and curriculum mapping.

Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems

Surveys are mostly challenged by response rates. Among the various types of survey research, web-based (internet-based/electronic/online) surveys are commonly used for data collection for a geographically diverse population. In surveys with high/low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response there are different approaches and techniques that help to identify reasons of non-response bias. The aims of this paper are twofold. (1) To provide an appropriate, interesting and important non-response bias case study for future web-based surveys that will provide guidance to other Information Systems researchers. The case-study concerns an online-survey to evaluate a technology acceptance model for Unit Guide Information systems (UGIS). (2) To discuss how nonresponse bias in a web-based technology acceptance study of an information system (UGIS in this case) can be contained and managed.

The moderating influence of device characteristics and usage on user acceptance of Smart Mobile Devices

This study seeks to develop a comprehensive model of consumer acceptance in the context of Smart Mobile Device (SMDs). This paper proposes an adaptation of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) model that can be employed to explain and predict the acceptance of SMDs. Also included in the model are a number of external and new moderating variables that can be used to explain user intentions and subsequent usage behaviour. The model holds that Activity-based Usage and Device Characteristics are posited to moderate the impact of the constructs empirically validated in the UTAUT2 model. Through an important cluster of antecedents the proposed model aims to enhance our understanding of consumer motivations for using SMDs and aid efforts to promote the adoption and diffusion of these devices.

The tale of two cultures : differences in technology acceptance in Twitter usage

Despite its huge uptake all over the world, Twitter is still in its early stages of being used as an educational tool. Here, we present an experiment that was conducted across two undergraduate groups from different universities, an Australian and another American university. In this experiment we looked at Twitter usage in class and compared the results with a particular focus on analysing technology acceptance differences between the two groups. Both groups used Twitter as part of their tutorial work and participated in a survey at the end of the semester. Empirical investigation was done using Davis’ technology acceptance model (TAM). The study findings reveal highly significant differences in the technology acceptance behaviours of the two groups, thus highlight cultural differences in the acceptance of technology, in this case Twitter.

Extending technology acceptance model to the E-recruitment context in Iran

Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.