Marketing research and small travel agents: an exploratory study

The research study reported on in this paper examined the marketing research (MR) orientation of small Australian travel agents. A survey was undertaken involving personal interviews with 91 travel agents in Melbourne, each agency having fewer than 20 employees. Agents were asked about their organisation with regard to MR, which MR activities were undertaken and wich MR techniques were employed. Additional questions gathered data on organisational and individual demographics, and some perceptual and attitudinal data. Although approximately half the respondents had no employee assigned to MR, the majority of agents reported engaging in most of the MR activities nominated, although most agents did not use most of the MR techniques covered in the study. Most general demographics were not related to MR participation, although greater devotion of resources to MR was reflected in more comprehensive usage of MR, and a more positive attitude to the cost-effectiveness of MR in small organisations. The desirability of travel agents considering seriously the role of MR in assisting in clarifying the future options for the sector is noted.

Machine learning and small robot navigation

Developing successful navigation and mapping strategies is an essential part of autonomous robot research. However, hardware limitations often make for inaccurate systems. This project serves to investigate efficient alternatives to mapping an environment, by first creating a mobile robot, and then applying machine learning to the robot and controlling systems to increase the robustness of the robot system. My mapping system consists of a semi-autonomous robot drone in communication with a stationary Linux computer system. There are learning systems running on both the robot and the more powerful Linux system. The first stage of this project was devoted to designing and building an inexpensive robot. Utilizing my prior experience from independent studies in robotics, I designed a small mobile robot that was well suited for simple navigation and mapping research. When the major components of the robot base were designed, I began to implement my design. This involved physically constructing the base of the robot, as well as researching and acquiring components such as sensors. Implementing the more complex sensors became a time-consuming task, involving much research and assistance from a variety of sources. A concurrent stage of the project involved researching and experimenting with different types of machine learning systems. I finally settled on using neural networks as the machine learning system to incorporate into my project. Neural nets can be thought of as a structure of interconnected nodes, through which information filters. The type of neural net that I chose to use is a type that requires a known set of data that serves to train the net to produce the desired output. Neural nets are particularly well suited for use with robotic systems as they can handle cases that lie at the extreme edges of the training set, such as may be produced by "noisy" sensor data. Through experimenting with available neural net code, I became familiar with the code and its function, and modified it to be more generic and reusable for multiple applications of neural nets.

What do they think when we stack them in? A comparative analysis of student perceptions relating to large and small marketing subjects

University education is in a period of flux with emphasis being focused on quality education, competition for students both local and international as well as changes in governmental financial support and direction. It is with this scenario as a backdrop, that universities in an endeavour to obtain economies of scale offer subjects with large student enrolments. This study investigates marketing students’ perception of and participation in marketing subjects relating to teaching quality, staff availability and support, and individual student involvement in marketing education with large enrolments compared to subjects with small enrolments. This research builds on the investigations of effects of class size by Cuseo (2004) and Binney et al (2004). The study used a multi-method approach. Data from a sample of 621 students was analysed using Factor analysis, MANOVA and ANOVA. Students indicated that there was little difference in the quality of learning obtained in small or large classes. Of interest from a marketing perspective, however, is the perception by students that they are more likely to obtain practical assistance and support from tutors in smaller classes. Student perceptions generally show no major differences between large and small classes in relation to subject selection, ability to learn and lecture  attendance. Students expressed a preference for the opportunity to choose from a number of lecture streams available in subjects with large enrolments. Of interest, however is the student belief that they are less likely to actively participate in large lectures than in small lecture environments.

Micro- and nano-characterization of membrane materials

The global warming has led to enormous challenges worldwide for a large variety of communities, particularly these associated to water and water treatment industry. Due to increasing scarcity of water resources, the development of new membrane materials and water treatment processes will play an important role in tackling this emerging problem. In this paper, the recent development in characterization of in particular, geometrical parameters of micro- and nano-membrane materials will be reviewed. Membranes with micro- and nano-pores have widely been used for ultrafiltration and nanofiltration. The structure of the pores and the surface of the pores/membranes may be optimized to achieve much improved flow rate in these micro-/nano-channels. Therefore, accurate characterization of porous structures will contribute significantly to the prediction of membrane performance. It will not only provide an insight into the new characterization methods but also the development of novel materials.

Are day-active small mammals rare and small birds abundant in Australian desert environments because small mammals are inferior thermoregulators?

Small desert birds are typically diurnal and highly mobile (hence conspicuous) whereas small non-volant mammals are generally nocturnal and less mobile (hence inconspicuous). Birds are more mobile than terrestrial mammals on a local and geographic scale, and most desert birds are not endemic but simply move to avoid the extremes of desert conditions. Many small desert mammals are relatively sedentary and regularly use physiological adjustments to cope with their desert environment (e.g., aestivation or hibernation). It seems likely that prey activity patterns and reduced conspicuousness to predators have reinforced nocturnality in small desert mammals. Differences such as nocturnality and mobility simply reflect differing life-history traits of birds and mammals rather than being a direct result of their differences in physiological capacity for tolerating daytime desert conditions.

Vascular plant and small mammal communities over an elevational gradient

Plant species richness and plant and small mammal beta diversity decline over the elevational gradient in the Otway ranges. These patterns are influenced by climate, habitat and spatial structure. This highlights the need to preserve continuous habitat and understand the influence of climate, to conserve communities in the changing future.

An innovation framework based on best practice exemplars from the Australian School Innovation in Science, Technology and Mathematics (ASISTM) project

This report describes research into 16 ASISTM projects selected to be broadly representative of exemplars in innovation. Case studies of each project were constructed from interviews with a range of key participants, and used to develop and refine an innovation framework that is used to make sense of and describe the key features of each project. The major issue binding these projects was found to be that of student interest and engagement, and this was pursued through involving students in contemporary science, technology and mathematics (STM) practices in authentic settings. The findings point to an enriched set of purposes of STM education implicit in these projects, a set of pedagogical practices that are varied and consistent with contemporary educational thinking, and a varied array of 'actors' recruited to these projects.

Innovation in logistic services and the new business model : a conceptual framework

Service industries hold an increasingly dynamic and pivotal role in today’s knowledge-based economies. The logistics industry is a classic example of the birth and development of a vital new service-based industry, transformed from the business concept of transportation to that of serving the entire logistical needs of customers. Quantum advances in science, technology, and communication in the new millennium have compelled firms to consider the potential of the so-called new “resources” (technology, knowledge and relationship networks) that are essential if firms are to operate effectively within the emerging business model, and to utilise the opportunities to innovate and gain market leadership. Through an extensive literature review, this paper examines the factors that nurture innovation in logistics services, identifies the contributions of the new “resources” and, using industry examples, examines the application of these resources to logistics firms as they assume an extended role within the new business model