PurposeIn the internet economy, the business model of web portals has spread rapidly over the last few years. Despite this, there have been very few scholarly investigations into the services and characteristics that transform a web site into a portal as well as into the dimensions that determine the customer's evaluation of the portal's service quality.Design/methodology/approachBased on an empirical study in the field of e‐banking, the authors validate a measurement model for the construct of web portal quality based on the following dimensions: security and trust, basic services quality, cross‐buying services quality, added value, transaction support and responsiveness.FindingsThe identified dimensions can reasonably be classified into three service categories: core services, additional services, and problem‐solving services.Originality/valueThe knowledge of these dimensions as major determinants of consumer's quality perception in the internet provides banks a promising starting point for establishing an effective quality management for their e‐businesses.
Customer prioritization strategies, which focus a firm's efforts on its most important customers, are expected to improve account profitability. Anecdotal evidence suggests, however, that such strategies may also undermine account profitability by inducing customers to become overly demanding. Building on social exchange theory, this research evaluates these competing perspectives across two field studies and finds that prioritization is best understood as a double-edged sword. Specifically, the results reveal that prioritization efforts initiate both a gratitude-driven process, which enhances sales and profit, and an entitlement-driven process, which increases service costs and reduces profit. Importantly, the findings indicate that prioritization tactics differ in the extent to which they trigger these competing processes and thus in their ability to influence account profitability. Finally, the results also reveal that critical moderators (competitive intensity and prioritization transparency) determine the extent to which the entitlement-driven process undermines the gratitude-driven process. For managers, the findings suggest that both the tactics employed and moderating conditions determine whether prioritization has a positive, negative, or negligible effect on prioritized accounts' profitability.
This study provides deeper insight in the link between service quality and customer satisfaction. The traditional assumption of a linear relationship is challenged by exploring asymmetries and dynamics. The simultaneous influence of service quality and customer experience on satisfaction is examined by means of nonlinear structural equation modeling. Results show that functional-utilitarian quality attributes (availability, efficiency, fulfillment, and privacy) lose their capability to delight customers as the customer relationship matures. In contrast, hedonic quality attributes (design, enjoyment, and image) only exhibit an increasing effect on satisfaction for more experienced customers. These insights are vital for service managers as they help to improve the efficiency of quality investments.
In this article, the authors propose that in a multichannel environment, evaluative conflicts (dissynergies) between service channels exist. Building on status quo bias theory, they develop a model that relates offline channel satisfaction to perceptions about a new self-service channel. Data were collected from 639 customers currently using offline investment banking. Results show that offline channel satisfaction reduces the perceived usefulness and enhances the perceived risk of the online channel. These inhibiting effects represent a status quo bias. Trust in the bank shows both adoption-enhancing effects and an adoption-inhibiting effect. Finally, the negative relationship between offline channel satisfaction and perceived usefulness is significantly stronger for men, older people, and less experienced Internet users. This study has both theoretical and managerial relevance as it helps to understand consumer behavior in multichannel environments and provides implications for the design of multichannel service strategies.
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