138 resultados para Shopping Mall
Resumo:
Family grocery shopping is the accepted domain of women; however, modern social and demographic movements challenge traditional gender roles with in the family structure. Men now engage in grocery shopping more freely and frequently, yet the essence of male shopping behaviour and beliefs present an opportunity for examination. This research identifies specific store characteristics, investigates the perceived importance of those characteristics and explores gender, age and income differences that may exist. A random sample collection methodology involving 280 male and female grocery shoppers was selected. Results indicated significant statistical differences between genders based on perceptions of importance of most store characteristics. Overall, male grocery shoppers considered supermarket store characteristics less important than female shoppers. Income did not affect shoppers’ level of associated importance; however respondents’ age, education and occupation influenced perceptions of price, promotions and cleanliness.
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Grocery shopping is a routine activity widely considered the responsibility of the female spouse, yet modern social and demographic shifts are causing men to engage in this task. This study develops a retail shopping typology of male grocery shoppers, employing a cluster analysis technique. Five distinct cohorts emerge from the data of eight constructs, measured by seventy one items. One new shopper type emerges from this research. This shopper presented as a younger man, at the commencement of their family lifecycle, attracted by a strong value offer, focusing on price and promotional discounts. Our research offers a contribution to the marketing, consumer behaviour and supermarket retailing disciplines in three ways. By examining and identifying male shopping behaviour in the context of grocery shopping, the development of a retail shopping typology of male grocery shoppers and the extension and employment of a cluster analysis in identifying distinct groups. This research has implications for gender, segmentation studies and consumer behaviour disciplines in regard to grocery shopping. The identification of specific groups of male grocery shoppers will enable grocery retailers to effectively implement important, targeted marketing strategies.
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Sustainable transport has become a necessity instead of an option, to address the problems of congestion and urban sprawl, whose effects include increased trip lengths and travel time. A more sustainable form of development, known as Transit Oriented Development (TOD) is presumed to offer sustainable travel choices with reduced need to travel to access daily destinations, by providing a mixture of land uses together with good quality of public transport service, infrastructure for walking and cycling. However, performance assessment of these developments with respect to travel characteristics of their inhabitants is required. This research proposes a five step methodology for evaluating the transport impacts of TODs. The steps for TOD evaluation include pre–TOD assessment, traffic and travel data collection, determination of traffic impacts, determination of travel impacts, and drawing outcomes. Typically, TODs are comprised of various land uses; hence have various types of users. Assessment of characteristics of all user groups is essential for obtaining an accurate picture of transport impacts. A case study TOD, Kelvin Grove Urban Village (KGUV), located 2km of north west of the Brisbane central business district in Australia was selected for implementing the proposed methodology and to evaluate the transport impacts of a TOD from an Australian perspective. The outcomes of this analysis indicated that KGUV generated 27 to 48 percent less traffic compared to standard published rates specified for homogeneous uses. Further, all user groups of KGUV used more sustainable modes of transport compared to regional and similarly located suburban users, with higher trip length for shopping and education trips. Although the results from this case study development support the transport claims of reduced traffic generation and sustainable travel choices by way of TODs, further investigation is required, considering different styles, scales and locations of TODs. The proposed methodology may be further refined by using results from new TODs and a framework for TOD evaluation may be developed.
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Many existing schemes for malware detection are signature-based. Although they can effectively detect known malwares, they cannot detect variants of known malwares or new ones. Most network servers do not expect executable code in their in-bound network traffic, such as on-line shopping malls, Picasa, Youtube, Blogger, etc. Therefore, such network applications can be protected from malware infection by monitoring their ports to see if incoming packets contain any executable contents. This paper proposes a content-classification scheme that identifies executable content in incoming packets. The proposed scheme analyzes the packet payload in two steps. It first analyzes the packet payload to see if it contains multimedia-type data (such as . If not, then it classifies the payload either as text-type (such as or executable. Although in our experiments the proposed scheme shows a low rate of false negatives and positives (4.69% and 2.53%, respectively), the presence of inaccuracies still requires further inspection to efficiently detect the occurrence of malware. In this paper, we also propose simple statistical and combinatorial analysis to deal with false positives and negatives.
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In public places, crowd size may be an indicator of congestion, delay, instability, or of abnormal events, such as a fight, riot or emergency. Crowd related information can also provide important business intelligence such as the distribution of people throughout spaces, throughput rates, and local densities. A major drawback of many crowd counting approaches is their reliance on large numbers of holistic features, training data requirements of hundreds or thousands of frames per camera, and that each camera must be trained separately. This makes deployment in large multi-camera environments such as shopping centres very costly and difficult. In this chapter, we present a novel scene-invariant crowd counting algorithm that uses local features to monitor crowd size. The use of local features allows the proposed algorithm to calculate local occupancy statistics, scale to conditions which are unseen in the training data, and be trained on significantly less data. Scene invariance is achieved through the use of camera calibration, allowing the system to be trained on one or more viewpoints and then deployed on any number of new cameras for testing without further training. A pre-trained system could then be used as a ‘turn-key’ solution for crowd counting across a wide range of environments, eliminating many of the costly barriers to deployment which currently exist.
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Sunnybank represents a distinctly Australian take on the classic ‘Chinatown’ – or indeed other ethic community enclaves such as ‘little Italy’, ‘little Bombay’, ‘little Athens’ and so on. In the Northern Hemisphere these tended to grow up in the dense working class neighbourhoods of industrial cities, especially in port cities like Liverpool, London, New York and San Francisco. The existing Chinatowns of Sydney and Melbourne, and to some extent Brisbane’s Fortitude Valley, are of this variety. In the late 1970s, with the growth of suburbanisation and the de-industrialisation and consequent dereliction of the ‘inner city’, these ethnic communities were one of the few signs of life in the city. Apart from the daily commute into the CBD, business with the city council or a trip to the big shopping streets these areas were one of the few reasons for visiting city centres stigmatised by urban decay and petty crime.
Resumo:
Due to proliferation of online stores prior expectations that retailing would move completely online were not fulfilled. Previous research about consumers’ preference of retailing channels suggested that online sales are driven by the convenience of online shopping, or as a natural extension of online searches. This paradigm has changed over the years. Changes in consumer behaviour are indicating that while consumers are searching online using various information sources to learn about products, ultimately when purchasing, consumers are shifting between online and offline retailing channels depending on various factors. Online shopping is still considered to be a convenient way to purchase goods, but the convenience is not the key factor. This qualitative research is based on 22 in-depth interviews with shoppers in Australia.
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The fashion ecosystem is at boiling point as consumers turn up the heat in all areas of the fashion value, trend and supply chain. While traditionally fashion has been a monologue from designer brand to consumer, new technology and the virtual world has given consumers a voice to engage brands in a conversation to express evolving needs, ideas and feedback. Product customisation is no longer innovative. Successful brands are including customers in the design process and holding conversations ‘with’ them to improve product, manufacturing, sales, distribution, marketing and sustainable business practices. Co-creation and crowd sourcing are integral to any successful business model and designers and manufacturers are supplying the technology or tools for these creative, active, participatory ‘prosumers’. With this collaboration however, there arises a worrying trend for fashion professionals. The ‘design it yourself’, ‘indiepreneur’ who with the combination of technology, the internet, excess manufacturing capacity, crowd funding and the idea of sharing the creative integrity of a product (‘copyleft’ not copyright) is challenging the notion that the fashion supply chain is complex. The passive ‘consumer’ no longer exists. Fashion designers now share the stage with ‘amateur’ creators who are disrupting every activity they touch, while being motivated by profit as well as a quest for originality and innovation. This paper examines the effects this ‘consumer’ engagement is having on traditional fashion models and the fashion supply chain. Crowd sourcing, crowd funding, co-creating, design it yourself, global sourcing, the virtual supply chain, social media, online shopping, group buying, consumer to consumer marketing and retail, and branding the ‘individual’ are indicative of the new consumer-driven fashion models. Consumers now drive the fashion industry - from setting trends, through to creating, producing, selling and marketing product. They can turn up the heat at any time _ and any point _ in the fashion supply chain. They are raising the temperature at each and every stage of the chain, decreasing or eliminating the processes involved: decreasing the risk of fashion obsolescence, quantities for manufacture, complexity of distribution and the consumption of product; eliminating certain stages altogether and limiting the brand as custodians of marketing. Some brands are discovering a new ‘enemy’ – the very people they are trying to sell to. Keywords: fashion supply chain, virtual world, consumer, ‘prosumers’, co-creation, fashion designers
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Retailing is a globalized industry yet retailers must respond to local shopping habits if they are to be perceived as legitimate by the host country customers. However, some retailers may be unable or unwilling to respond to all customer requirements. Costco, the membership warehouse club retailer, has been successful in its international expansion efforts, establishing its first Australian store in Melbourne in 2009. In the first twelve months of operation, the store became one of Costco’s top five stores in the world. We investigate this success focussing on the customer, and use institutional theory to analyze what concessions were made by the customer and the company. Data were collected from consumer interviews, site visits and secondary media and industry sources. Analysis revealed negotiations based on the rejection, acceptance or adaptation of the regulative, normative and cultural cognitive aspects of the Australian shopper and the Costco business model. Customers made concessions to accommodate the new business model, and Costco responded to entrenched Australian shopping habits. This case is the first to explore the outcome of retail internationalization from the customers’ perspective, revealing the concept of mutual concessions. The interaction and subsequent adaptation by both customer and retailer have resulted in the institutionalization of new shopping norms in the host country and success for the international retailer.
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The landscape of early childhood education and care is changing. Governments world-wide are assuming increasing authority in relation to child-rearing in the years before school entry, beyond the traditional role in assisting parents to do the best they can by their children. As part of a social agenda aimed at forming citizens well prepared to play an active part in a globalised knowledge economy, the idea of ‘early learning’ expresses the necessity of engaging caregivers right from the start of children’s lives. Nichols, Rowsell, Rainbird, and Nixon investigate this trend over three years, in two countries, and three contrasting regions, by setting themselves the task of tracing every service and agent offering resources under the banner of early learning. Far from a dry catalogue, the study involves in-depth ethnographic research in fascinating spaces such as a church-run centre for African refugee women and children, a state-of-the-art community library and an Australian country town. Included is an unprecedented inventory of an entire suburban mall. Richly visually documented, the study employs emerging methods such as Google-mapping to trace the travels of actual parents as they search for particular resources. Each chapter features a context investigated in this large, international study: the library, the mall, the clinic, and the church. The author team unravels new spaces and new networks at work in early childhood literacy and development.
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In Strong v Woolworth Ltd (t/as Big W) (2012) 285 ALR 420 the appellant was injured when she fell at a shopping centre outside the respondent’s premises. The appellant was disabled, having had her right leg amputated above the knee and therefore walked with crutches. One of the crutches came into contact with a hot potato chip which was on the floor, causing the crutch to slip and the appellant to fall. The appellant sued in negligence, alleging that the respondent was in breach of its duty of care by failing to institute and maintain a cleaning system to detect spillages and foreign objects within its sidewalk sales area. The issue before the High Court was whether it could be established on the balance of probabilities as to when the hot chip had fallen onto the ground so as to prove causation in fact...
Resumo:
Public dialogue regarding the high concentration of drug use and crime in inner city locations is frequently legitimised through visibility of drug-using populations and a perception of high crime rates. The public space known as the Brunswick Street Mall (Valley mall), located in the inner city Brisbane suburb of Fortitude Valley, has long provided the focal point for discussions regarding the problem of illicit drug use and antisocial behaviour in Brisbane. During the late 1990s a range of stakeholders in Fortitude Valley became mobilised to tackle crime and illicit drugs. In particular they wanted to dismantle popular perceptions of the area as representing the dark and unsafe side of Brisbane. The aim of this campaign was to instil a sense of safety in the area and dislodge Fortitude Valley from its reputation as a =symbolic location of danger‘. This thesis is a case study about an urban site that became contested by the diverse aims of a range of stakeholders who were invested in an urban renewal program and community safety project. This case study makes visible a number of actors that were lured from their existing roles in an indeterminable number of heterogeneous networks in order to create a community safety network. The following analysis of the community safety network emphasises some specific actors: history, ideas, technologies, materialities and displacements. The case study relies on the work of Foucault, Latour, Callon and Law to draw out the rationalities, background contingencies and the attempts to impose order and translate a number of entities into the community safety project in Fortitude Valley. The results of this research show that the community safety project is a case of ontological politics. Specifically the data indicates that both the (reality) problem of safety and the (knowledge) solution to safety were created simultaneously. This thesis explores the idea that while violence continues to occur in the Valley, evidence that community safety got done is located through mapping its displacement and eventual disappearance. As such, this thesis argues that community safety is a =collateral reality‘.
Resumo:
When arranging a place to meet in Brisbane, it has become almost second nature to say, “I’ll meet you outside Hungry Jack’s,” which is located in Queen Street Mall. In Melbourne, the common saying is, “I’ll meet you under the clocks,” which refers to the row of clocks above the main entrance to Flinders Street Railway Station. The saying “I’ll meet you under the clocks” is loaded with memory and history for most Melbournians—from WWII farewells to after school meetings. The clocks, and the station, have become part of the symbolic culture of the city. A feature of these two sites is the diversity of people who arrange to meet there, ranging from business people, tourists, teenagers, lovers, families to local schoolchildren. These two spaces cross boundaries of exclusion and enable people to feel as though they belong the city. While it seems appropriate for people to arrange to meet at a railway station, it is interesting that many people who meet at Flinders Street Station do not travel by train to arrive there: some walk; some take the tram and then walk; others arrive by bus. Similarly, most of the many people who arrange to meet outside Hungry Jack’s in Brisbane do not intend to enter the store...
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This paper introduces the first iteration of a study aimed at grouping similar food types together in a refrigerator to increase the awareness of available foods for consumers in a domestic environment. The goals of the project are twofold: i) Raise the awareness of available foods for all members of a household; ii) Reduce the amount of expired food waste in the household. The project implemented a paper-based colour scheme in refrigerators in households, assigning colours to particular food types (e.g. green to fruit and vegetables, red to meat, etc.). The findings show that the colour coding raised participants’ awareness of available food items in the fridge, particularly for those participants who were not directly involved in the shopping and initial storage of each food item. The findings also indicate that such awareness led to a reduction in expiration of food and thus general food waste in the household. These preliminary findings suggest that raising awareness of food availability through categorisation and efficient communication of this information may lead to a reduction in food waste in domestic environments.
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Research interest in pedestrian behaviour spans the retail industry, emergency services, urban planners and other agencies. Most models to simulate and model pedestrian movement can be distinguished on the basis of geographical scale, from the micro-scale movement of obstacle avoidance, through the meso-scale of individuals planning multi-stop shopping trips, up to the macro-scale of overall flow of masses of people between places. In this paper, route-choice decision-making model is devised for modelling passengers flow in airport terminal. A set of devised advanced traits of passengers is firstly proposed. Advanced traits take into account a passenger’s cognitive preferences and demonstrate underlying motivations of route-choice decisions. Although the activities of passengers are normally regarded as stochastic and sometimes unpredictable, real scenarios of passenger flows are basically feasible to be compared with virtual simulations in terms of tactical route-choice decision-making. Passengers in the model are as intelligent agents who possess a bunch of initial basic traits and are categorized into five distinguish groups in terms of routing preferences. Route choices are consecutively determined by inferring current advanced traits according to the utility matrix.