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In contrast to the reflective approach of service quality measurement, this paper aims to propose and validate a parsimonious multidimensional second-order formatively measured model of service quality for primary health-care services provided by hospital outpatient departments. The index’s empirical validity is examined by investigating the strength of its relationship with certain behavioral responses such as patient satisfaction and behavioral intentions.

Data were collected through a stratified random sampling from eight hospital outpatient departments in Greece. Covariance-based structural equation modeling techniques were used to validate the proposed service quality index and further investigate its effect on patient satisfaction and behavioral intention.

The data analysis indicated that the proposed formative index is fully functional with medical care being the factor and mostly contributes to service quality perception, followed by administrative service and staff performance, and facilities condition and nursing care. It, further, confirmed the partial mediating role of satisfaction, as it enhances the high impact of service quality on behavioral intentions.

The relationships among hospital outpatient departments service quality, patient satisfaction and behavioral intentions were validated with data from one country and a health-care system which is state driven and funded.

An understanding of hospital primary health-care service quality formation is important to health-care decision makers because it offers them the opportunity to consider patients’ needs and wants, and takes the appropriate actions for improving the relevant underling procedures in a more efficient manner to achieve favorable behavioral responses.

The paper manages to propose and empirically evaluate a formatively measured approach of service quality and investigate the effects of the proposed index on patient satisfaction and behavioral intention, especially in the hospital outpatient services context in Greece.

This paper presents an extended technology acceptance model (TAM) with concepts from the innovation diffusion theory (IDT) and customers’ perceived risk, aiming to examine the factors affecting Greek customers’ intentions to adopt internet banking services. Furthermore, several individual differences are examined, with respect to their impact on the formation of customers’ attitude about the pros and cons of the new technology.

Based on an empirical study including off‐line banking customers that are familiar with the internet, the authors validate a causal model linking the constructs of the proposed service's compatibility, perceived ease of use, perceived usefulness, perceived security and privacy risk, customers’ demographics and IT competences, with customers’ intentions to adopt internet banking services in the future. Partial least squares procedure was used to analyze 212 cases collected from residential customers via personal interviews using a properly designed questionnaire.

The results indicated that service compatibility is the key factor, which mostly shapes customers’ behavioural intentions toward internet banking adoption, followed by TAM constructs and perceived risk elements. Moreover, TAM and perceived security and privacy risk constructs partially mediate the relationships between compatibility and customers’ behavioural intentions, while perceived usefulness partially mediates the relationship between perceived ease of use and customers’ intentions. Finally, in terms of the impact of individual differences on customers’ beliefs about internet banking compatibility, value and risk elements, younger, mostly male customers, with adequate previous IT experience who find themselves to be compatible with the new service, are a more promising target group to use internet banking, as an alternative channel to perform their financial transactions in the future.

This study explores the influence of an extended TAM model factors on internet banking adaptation behaviour of Greek customers. The proposed model has never been used in the internet banking context and could be utilised to provide a solid theoretical foundation of the internet banking acceptance case.

The purpose of this paper is to implement a multi-criteria preference disaggregation approach to measure logistics service quality (LSQ) of manufacturing companies’ supply chains.

A total 216 Greek manufacturing companies took part in a survey with the use of a dedicated questionnaire. They were asked to assess the LSQ of their primary supplier regarding a predefined set of criteria and sub-criteria. The data were analysed with the multi-criteria satisfaction analysis method, which represents an ordinal regression based approach used for customer satisfaction measurement.

Weak points of the suppliers as well as dimensions that drive satisfaction were identified. Furthermore, the competitive advantages of the suppliers as well as their priorities for improvement were spotted.

The sampling framework, including only the manufacturing companies operating in a specific area of Greece, does not ensure the full generalisation of the results. A larger sample of manufacturing companies from all over Greece would be useful to obtain more reliable results and would enable the comparison of LSQ for different manufacturing sectors.

The method used to assess LSQ of manufacturing companies can be installed as a permanent customer satisfaction barometer to measure, control and improve the LSQ provided to manufacturing companies as well as to other business sectors.

This paper proposes a method to explore the relationships between LSQ and industrial customers’ satisfaction to prioritise strategic plans of companies in the supply chains.