Going with the consumer towards the social Web environment : a review of extant knowledge

The social Web environment cannot be explained without taking into account the use made by consumers of the web technologies in the field of e-commerce. Starting with a systematic background of the growing body of research on marketing and consumer behaviour on the Web; this article presents a critical review of the main contributions on this theme, integrating also the research field of consumer behaviour in the social Web environment. It concludes with some managerial guidelines for successful use of the social Web in the commercial activities and in the establishment of fruitful relationships between the consumers and the brand.

Forecasting tourism demand using consumer expectations

Abstract Purpose- There is a lack of studies on tourism demand forecasting that use non-linear models. The aim of this paper is to introduce consumer expectations in time-series models in order to analyse their usefulness to forecast tourism demand. Design/methodology/approach- The paper focuses on forecasting tourism demand in Catalonia for the four main visitor markets (France, the UK, Germany and Italy) combining qualitative information with quantitative models: autoregressive (AR), autoregressive integrated moving average (ARIMA), self-exciting threshold autoregressions (SETAR) and Markov switching regime (MKTAR) models. The forecasting performance of the different models is evaluated for different time horizons (one, two, three, six and 12 months). Findings- Although some differences are found between the results obtained for the different countries, when comparing the forecasting accuracy of the different techniques, ARIMA and Markov switching regime models outperform the rest of the models. In all cases, forecasts of arrivals show lower root mean square errors (RMSE) than forecasts of overnight stays. It is found that models with consumer expectations do not outperform benchmark models. These results are extensive to all time horizons analysed. Research limitations/implications- This study encourages the use of qualitative information and more advanced econometric techniques in order to improve tourism demand forecasting. Originality/value- This is the first study on tourism demand focusing specifically on Catalonia. To date, there have been no studies on tourism demand forecasting that use non-linear models such as self-exciting threshold autoregressions (SETAR) and Markov switching regime (MKTAR) models. This paper fills this gap and analyses forecasting performance at a regional level. Keywords Tourism, Forecasting, Consumers, Spain, Demand management Paper type Research paper

Data mining and mall users profile

Marketing scholars have suggested a need for more empirical research on consumer response to malls, in order to have a better understanding of the variables that explain the behavior of the consumers. The segmentation methodology CHAID (Chi-square automatic interaction detection) was used in order to identify the profiles of consumers with regard to their activities at malls, on the basis of socio-demographic variables and behavioral variables (how and with whom they go to the malls). A sample of 790 subjects answered an online questionnaire. The CHAID analysis of the results was used to identify the profiles of consumers with regard to their activities at malls. In the set of variables analyzed the transport used in order to go shopping and the frequency of visits to centers are the main predictors of behavior in malls. The results provide guidelines for the development of effective strategies to attract consumers to malls and retain them there.

Forecasting tourism demand to Catalonia: neural networks vs. time series models

The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more accurate forecasts of tourismdemand at the destination level due to the constant growth of world tourism, has lead us to evaluate the forecasting performance of neural modelling relative to that of time seriesmethods at a regional level. Seasonality and volatility are important features of tourism data, which makes it a particularly favourable context in which to compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official statistical data of overnight stays and tourist arrivals fromall the different countries of origin to Catalonia from 2001 to 2009 is used in the study. When comparing the forecasting accuracy of the different techniques for different time horizons, autoregressive integrated moving average models outperform self-exciting threshold autoregressions and artificial neural network models, especially for shorter horizons. These results suggest that the there is a trade-off between the degree of pre-processing and the accuracy of the forecasts obtained with neural networks, which are more suitable in the presence of nonlinearity in the data. In spite of the significant differences between countries, which can be explained by different patterns of consumer behaviour,we also find that forecasts of tourist arrivals aremore accurate than forecasts of overnight stays.

Spanish E-Consumer Segmentation and Positioning in Virtual Supermarkets Sector

This article analyses different factors that influence the purchasing behaviour of online supermarket customers. These factors are related to both the appearance of the website as well as the processes that take place when making the purchase. Based on these analyses, the various groups of consumers with homogenous behaviour are studied and positioned according to their attitudes. The analysis also allows the quality of the service offered by this kind of establishment to be defined, as well as the main dimensions in which it develops. In the conclusions, factors which should influence the manager of an online supermarket to improve the quality of its service are given

La gestión del supermercado virtual: tipificación del comportamiento del cliente online

Este artículo analiza diferentes elementos que influyen en el comportamiento de compra del cliente de un supermercado online. Estos elementos están relacionados tanto con aspectos estéticos del sitio web, como con los procesos que tienen lugar en el momento de realizar la compra. A partir de este análisis, se estudian los distintos grupos de consumidores con comportamientos homogéneos y se posicionan en función de sus actitudes. El análisis también permite definir la calidad del servicio prestado por este tipo de establecimientos, así como las principales dimensiones en que se despliega. En las conclusiones se citan aspectos en los que el gestor de un supermercado online debe incidir para mejorar la calidad de su servicio.

Playing cat and mouse : consumer empowerment and marketing interaction on the net

Peer-reviewed

Informed recommender: basing recommendations on consumer product reviews

Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology

The optimal behaviour of firms facing stochastic costs

This paper aims at assessing the optimal behavior of a firm facing stochastic costs of production. In an imperfectly competitive setting, we evaluate to what extent a firm may decide to locate part of its production in other markets different from which it is actually settled. This decision is taken in a stochastic environment. Portfolio theory is used to derive the optimal solution for the intertemporal profit maximization problem. In such a framework, splitting production between different locations may be optimal when a firm is able to charge different prices in the different local markets.

Human capital in export-based internationalisation. "Managerial determinants and their influence upon the export behaviour of the firm: four case-studies of catalan exporting SMEs"

Export activities are a major source of economic growth and are considered important both at the national level and for individual businesses. Moreover, in the case of SMEs, they gain particular relevance, exporting being the most common foreign market entry mode for these firms. The decision maker’s role in the export activity is crucial, particularly in the case of SMEs. However, the extant literature on internationalization is characterized by a lack of consensus among scholars as to what constitutes the managerial factor in determining exporting. Therefore, this study focuses on the following issue: Which are the decision maker’s characteristics and perceptions that may influence the export behaviour of Catalan SMEs? To address this question a multiple case study method is applied across four Catalan exporting SMEs. The methodology chosen for analysing the empirical data is relying on the proposition testing approach while the investigation is conducted including both within and cross-case analysis. The findings show that high educational level, language skills, high risk tolerance, innovativeness as well as strongly perceived export stimuli as compared to low and easy to overcome export barriers positively influence the export involvement and development of SMEs. The study provides further insights into the research topic by jointly studying managerial characteristics and perceptions. Additionally, the majority of research on exporting topics has been carried out in the USA, so there is a clear need of investigation in the field in other countries, moreover in Spain where the exporting activities have not been as widely studied.

Venda de kiwis online: www.prosmokiwi.com

Avui en dia la venda de productes, mitjançant les possibilitats que ens ofereix Internet, es troba en ple creixement. Aquest projecte pretén posar en funcionament una pàgina Web dedicada a la venda de fruita, concretament kiwis. Des de fa un temps, la població comença a ser conscient del desequilibri entre l'agent productor i l'agent comercial. Com passa també en altres sectors, el productor ven a un preu molt inferior respecte al que després es ficarà de cara al comprador final. En el cas de la fruita, el client acaba comprant un producte més car i normalment de menys qualitat. L'objectiu principal d'aquest projecte és promoure la venda online a partir d'una mercaderia de qualitat i més econòmica, aconseguint un major benefici tant per part del productor com del client.

Gestor d'avaluació online

Aquesta memòria tracta sobre el desenvolupament d’una aplicació web, amb tecnologia Ajax, per la gestió d’avaluacions de manera online. L’aplicació està destinada a facilitar la creació i correcció de proves i lliuraments per part dels usuaris professors i per automatitzar el procés de realització d’una prova i lliurament per part de l’alumne.

Creación de una radio musical participativa con difusión online y FM

Este proyecto propone crear un sistema inteligente y autónomo de emisión conjunta por Internet y FM. A través de una interfaz Web cómoda y sencilla, el oyente podrá interactuar con la emisora e influir en la emisión, exponiendo sus preferencias. El sistema tomará de forma autónoma y dinámica las decisiones pertinentes que garantizarán que la emisión cumple las preferencias definidas.

Soportes publicitarios online y offline desde la perspectiva de la planificación de medios

El tema tractat en aquest treball són els suports publicitaris online y offline, des de la perspectiva de la planificació de mitjans. El desenvolupament de l’exposició es fonamenta en l’anàlisi comparatiu entre els mitjans i suports publicitaris offline y online actuals. A través de la investigació i la recopilació de dades sobre la compra de mitjans, les mesures publicitàries, l’anàlisi de l’efectivitat i les darreres inversions anuals, arribarem a unes conclusions en les que descobrirem si els conceptes estudiats són els mateixos tant en l’àmbit offline com en l’online.