Visiting friends and relatives distinguishing between the two groups: The case of Hamilton, New Zealand

Within tourism the term visiting ‘friends and relatives' (VFR) is used with little distinction between the two components of ‘friends' and ‘relatives'. This paper examines the proposition that significant differences exist, and provides evidence of such differences derived from a survey of 763 respondents collected over a four month period. Although these differences are small, they indicate that those visiting friends are more likely to visit bars, night clubs and casinos than relatives; and relatives are more likely to visit gardens. Of particular importance is that specific patterns emerged as to attraction attendance and that age of visitor is perhaps more important than status as a ‘friend' or a ‘relative'. The data comprise both quantitative and qualitative forms. The former are analyzed by utilizing descriptive statistics, while the latter are analyzed using CATPAC software based on the principles of neural network analysis. A conceptual model is suggested to provide an insight into the phenomenon

Factors Influencing Perceptions Toward Social Networking Websites in China

Based on an online national survey of 503 respondents, this study empirically investigates factors influencing perceptions toward social networking websites (SNWs) in China. More specifically, user demographics and media\ud characteristics were examined. While income was found to be a significant predictor of users’ attitude toward SNWs, gender, age, educational level and marital status were insignificant, suggesting that demographic divides may be\ud diminishing when it comes to online social media in China. Both perceived risk and enjoyment were found to have significant positive effects. Managerial implications were discussed

e-Consumer Behaviour

Purpose – The primary purpose of this article is to bring together apparently disparate and yet interconnected strands of research and present an integrated model of e-consumer behaviour. It has a secondary objective of stimulating more research in areas identified as still being underexplored. Design/methodology/approach – The paper is discursive, based on analysis and synthesis of econsumer literature. Findings – Despite a broad spectrum of disciplines that investigate e-consumer behaviour and despite this special issue in the area of marketing, there are still areas open for research into econsumer behaviour in marketing, for example the role of image, trust and e-interactivity. The paper develops a model to explain e-consumer behaviour. Research limitations/implications – As a conceptual paper, this study is limited to literature and prior empirical research. It offers the benefit of new research directions for e-retailers in understanding and satisfying e-consumers. The paper provides researchers with a proposed integrated model of e-consumer behaviour. Originality/value – The value of the paper lies in linking a significant body of literature within a unifying theoretical framework and the identification of under-researched areas of e-consumer behaviour in a marketing context

eBay users form stable groups of common interest

Market segmentation of an online auction site is studied by analyzing the users' bidding behavior. The distribution of user activity is investigated and a network of bidders connected by common interest in individual articles is constructed. The network's cluster structure corresponds to the main user groups according to common interest, exhibiting hierarchy and overlap. Key feature of the analysis is its independence of any similarity measure between the articles offered on eBay, as such a measure would only introduce bias in the analysis. Results are compared to null models based on random networks and clusters are validated and interpreted using the taxonomic classifications of eBay categories. We find clear-cut and coherent interest profiles for the bidders in each cluster. The interest profiles of bidder groups are compared to the classification of articles actually bought by these users during the time span 6-9 months after the initial grouping. The interest profiles discovered remain stable, indicating typical interest profiles in society. Our results show how network theory can be applied successfully to problems of market segmentation and sociological milieu studies with sparse, high dimensional data.Comment: Major revision of the manuscript. Methodological improvements and inclusion of analysis of temporal development of user interests. 19 pages, 12 figures, 5 table

Retail Macro-location Factors: Empirical Evidence from the Portuguese Shopping Centres

Shopping Centres have appeared in Portugal in the beginning of the seventies and have consolidated their presence from the eighties onwards. This study aims to identify the retail macro-location factors that attracts or deters the location of shopping centres at regional (municipality) level. Using OLS regression, we tested some hypothesis as pointed out by the theory, namely the number of potential consumers, their purchasing power, the presence of competitiors, accessibility to the shopping centre and costs (e.g., land, installation). The results allow for the acceptance of the hypothesis which unveil that the promoters of shopping centres seems to value highly the size of the market, both in terms of potential consumers and purchasing power. On the other hand, due to lack of atatistical significance, we cannot infer about the other hypothesis formulated above.

The Challenges of e-Tailing in Employment Creation: Empirical Evidence from Nigeria

As more and more manufacturers and retailers turn to e-tailing to increase profits and capture new customers, the emphasis on online shopping means more opportunities for web designer jobs and developer jobs, not to mention an increase in the number of marketing jobs and content roles. This paper investigates the retail sector contribution and strategies for job creation. The research is based on a wide and broad literature review of the latest trends in the Nigeria retail industry, followed and supplemented by quantitative research of the key retailers in the country. The work, among others things identifies the drivers of change and related factors that have a bearing and influence on employment creation based on the emerging opportunities and threats (e.g. Technology). The study also evaluates the effect of e-retailing on job creation in Nigeria and as well investigates the challenges for managing e-tailing in a developing economy. To achieve the spelt objectives, the study utilizes survey design; and data was collected though a self-administered questionnaire from a number of 302 respondents who were retailers in three selected open markets in Ibadan Metropolis, Oyo State Nigeria. Statistical technique software SPSS was employed to aid the data analysis. Having analyzed the data, the study found out that e-tailing has brought about changes in the ways people buys and this affects many traditional retail outlets. It was also discovered that e-tailing is still ineffective in Nigeria economy. The work among other things, recommends that brick and mortal retailers should strengthen their operations in order to continue being in business. The work in addition to that also advised that Nigeria manufacturers and retailers should go electronic so as to face the digital rivals created by e-tailers