Building loyalty with online financial services customers: Is there a gender difference?

This study proposes a research model of the determinants of customer loyalty in an online financial services context. The study examines the online service quality dimensions that influence e-trust and e-satisfaction, which in turn influence e-loyalty. The research assesses also the moderator role of gender in e-loyalty development. Using data collected from 376 users of a click-and-brick financial institution in Canada, the study finds that: (1) e-loyalty is positively related to e-satisfaction and e-trust; (2) e-satisfaction and e-trust are positively associated to perceived website efficiency and information quality; (3) gender does not moderate relationships between online service quality, e-satisfaction, e-trust, and e-loyalty; (4) women report higher levels of online service quality, e-satisfaction, e-trust, and e-loyalty than men. The study emphasises the role of website efficiency and information quality in developing loyalty for online financial services providers. Indeed, it suggests that online financial institutions do not need to segment their online market based on gender.     

Price and volatility spillovers between exchange rates and stock indexes for the pre- and post-euro period

In this paper we explore the nature of the mean, volatility and causality transmission mechanism between stock and foreign exchange markets for the United States and some major European markets for the periods pre- and post-euro. The asymmetric volatility transmission is described by an extended Multivariate Exponential Generalized Autoregressive Conditionally Heteroskedastic (EGARCH) model. The results support the asymmetric and long-range persistence volatility spillover effect and show strong evidence of causality in the mean and variance between foreign exchange rate and stock price for both pre- and post-euro periods. However, the stock price has a more significant effect on foreign exchange rate for the two subsamples. These results are robust to the cross-correlation function test suggested by Cheung and Ng. The implication is particularly important for international portfolio managers when devising hedging and diversification strategies for their portfolios.     

Augmented reality in marketing: Conceptualization and systematic review

This systematic review of the literature focuses on the use of AR and its impacts in the marketing area. It provides a multidisciplinary, up-to-date synthesis of the literature and an exhaustive classification of AR. Through the use of the SPAR-4-SLR protocol, 148 articles were selected for analysis. The study has three main objectives. First, it reports the key characteristics (distribution by year, publication outlets, etc.), theoretical models, and methodologies used in this research domain. Second, it suggests a classification of the types of AR according to their triggers and the object of the augmentation (self vs. external). Third, it proposes a framework that presents (1) the AR features and attributes and the AR use experience; (2) the cognitive, affective, and social mediators; and (3) the outcomes of these experiences. Key moderators (types of AR, types of products, individual characteristics, etc.) are also discussed. Using the TCCM framework (theories, context, characteristics, and methodologies), this study offers several future research avenues and highlights the importance of considering the effects of the different types of AR. Finally, it offers pointers for managers on how to develop efficient AR solutions and how these can be used to reduce a company's carbon footprint.