Search Results (5)

With recent advances in mobile and internet technologies, the digital payment market is an increasingly integral part of people’s lives, offering many useful and interesting services, e.g., m-banking and cryptocurrency. The m-banking system allows users to pay for goods, services, and earn money via cryptotrading using any device such as mobile phones from anywhere. With the recent trends in global digital markets, especially the cryptocurrency market, m-banking is projected to have a brighter future. However, information stored or conveyed via these channels is more vulnerable to different security threats. Thus, the aim of this study is to examine the influence of security and confidentiality on m-banking patronage using artificial intelligence ensemble methods (ANFIS, GPR, EANN, and BRT) for the prediction of safety and secrecy effects. AI models were trained and tested using 745 datasets obtained from the study areas. The results indicated that AI models predicted the influence of security with high precision (NSE > 0.95), with the GPR model outperformed the other models. The results indicated that security and privacy were key influential parameters of m-payment system patronage (m-banking), followed by service and interface qualities. Unlike previous m-banking studies, the study results showed ease of use and culture to have no influence on m-banking patronage. These study results would assist m-payment system stakeholders, while the approach may serve as motivation for researchers to use AI techniques. The study also provides directions for future m-banking studies. Full article

The technological development of online product presentation modes (e.g., augmented reality, virtual reality) will greatly impact the future of e-retailing. The potential benefits of applying these new technologies for e-retailers need further investigation. Based upon the stimulus-organism-response (S-O-R) model, this study examines the effect of AR-based presentation modes on consumer patronage intention, with the mediating role of immersion, enjoyment, perceived product risk and attractiveness of the online store. Furthermore, it explores the moderating effect of technophilia that reflects consumers’ positive attitude towards technology. A single factor between-subject experiment study was conducted with a sample of 420 university students. Results suggest that the serial indirect effects of AR presentation on patronage intention through immersion/enjoyment/perceived product risk and attractiveness of online store are conditional upon the level of technophilia. Technophilia is a critical factor that explains consumers’ psychological and behavioral responses when they are using new technologies. The study provides new knowledge for e-marketing practitioners, as well as AR literature by indicating how and when new technology-based presentation works in evoking consumers’ patronage intention. Full article

Saint John’s Baptistery in Florence (Italy), dating back to the XI century, represents one of the most outstanding historical buildings in the city, and has been under the UNESCO patronage as Cultural Heritage since 1982. In recent years, in the frame of a conservation project, detailed studies and mapping of all the tiles covering the Baptistery have been developed. Based on a laser-scan survey, a detailed wireframe model of all the external sides, reporting all the tiles and decor, has been developed. This model was implemented into a 2D-GIS, georeferenced in real scale and spatial position. An in situ survey of all the tiles, ashlars, inlays and columns, made in contradiction by experts in historical ornamental stones, allowed the recognition of several types of marble in place. All these marbles have been analyzed and characterized as geometric, geological and historical data, and the information implemented into a GIS for obtaining a spatial geodatabase representing a “box” to store all information achieved. All these data are manageable by web through smartphone, tablet and PC for querying or updating, thus representing an effective management tool for further conservation of such important historical cultural buildings. Full article

While research on retailers’ attributes that influence store patronage is relatively plentiful, the influence on store patronage of consumers’ perceptions towards retailers’ sustainable behaviour is a new topic. The authors examine the influence of retailers’ sustainable behaviour and store attributes (assortment, price, personnel, advertising and convenience) on the patronage behaviour of generations X and Y (Millennials). Data were collected via a survey of 278 Xers and 402 Millennials in an emerging market. Results show that Generation X apparel store patronage is positively influenced by advertising and store personnel, whereas Millennials’ are influenced by assortment, personnel and advertising and to a weaker extent by retailers’ sustainable behaviour. The paper enlarges the understanding of generational theory in an emerging market, while from a managerial perspective the results are particularly useful for apparel retailers with regards to marketing strategies which need to be implemented in order to attract and retain Generation X and Y consumers. Full article

A central topic in the retail analysis is store location, which is related to its attractiveness and even with its profitability. In order to determine the force of attraction of a given point of sale, methodologies based on gravitational models have been developed. More recently, classic models have been integrated with Geographic Information Systems (GIS). This paper explores a methodology for retail spatial analysis in a GIS environment, and it aims to: (a) model the degree of influence of different store location attributes on the consumer choice among a collection of retail options, and (b) develop an empirical application for the clothing retail business sector in the city of Santa Maria, RS, Brazil. The study selects three relevant location attributes of store choice: retail market clustering, local accessibility of the street network, and topographic slope of the terrain. These three location features were taken as inputs for the attractiveness evaluation of each store, using the Huff model. As a result, we were able to model the trading areas of each shop related to the selected attributes. The paper provides a methodology for modelling the performance of retail location attributes and building different scenarios of probabilities for consumer patronage, allowing a first measure of the influence of each selected store location attribute. Full article