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Corporate social responsibility (CSR) is a concept with increasing importance for global and local organisations. Despite its importance, there is still lack in the understanding of its complete role, within and outside organisational boundaries. The purpose of this paper is to develop and empirically test a conceptual framework (research model) that examines the antecedents (drivers) and the effects of CSR implementation.

The proposed conceptual framework was tested, using a newly developed structured questionnaire, in a sample of 80 large private Greek organisations. Key respondents were the executive managers of these organisations. The reliability and the validity of the questionnaire were thoroughly examined, while research hypotheses were tested using the “Structural Equation Modelling” technique.

Research findings suggest that three factors (“CSR awareness”, “relevant cost of CSR”, “appropriateness of CSR strategies”) have a direct effect on CSR implementation, while one factor (“knowledge of CSR”) has an indirect effect, through “CSR awareness”. On the other hand, CSR implementation seems to have a positive effect on “employee commitment”, “customer satisfaction” and “company reputation”. It should be underlined that these results reflect the opinions expressed by the top management of the companies that participated in the study.

The present study proposes an original, three-dimensional, conceptual framework that examines both the antecedents and the effects of ERP implementation. Such a multidimensional approach has randomly been attempted in the existing literature. Second, the present study examines the subject of CSR in an economy under crisis. This approach is rather unique among previous empirical studies of the same field. Third, the results of the present study may be generalised in other countries with similar economic realities and characteristics (e.g. Cyprus, Spain, Italy, Portugal and Ireland). Finally, the study offers specific managerial implications to business executives.

The purpose of this paper is to examine the relationship between beta and returns in the Athens stock exchange (ASE), taking into account the difference between positive and negative market excess returns' yields.

The data were taken from DataStream database and the sample period consists of 12 years divided into four six‐year periods such that the test periods do not overlap. Regression analysis is applied, using both the traditional (unconditional) test procedure and the conditional approach.

The estimation of return and beta without differentiating positive and negative market excess returns produces a flat unconditional relationship between return and beta. However, when using the conditional capital asset pricing model (CAPM) and cross‐sectional regression analysis, the evidence tends to support the significant positive relationship in up market and a significant negative relationship in down market.

The small number of listed companies in the ASE led to the inclusion of the financial and insurance companies in the sample, and to the formation of a small number of portfolios. The same research methodology could be applied to individual stocks of the ASE and with the exclusion of all financial companies.

The results tend to support the existence of a conditional CAPM relation between risk and realized return trade‐off.

It is widely accepted that the use of information and communication technology (ICT) in the healthcare sector offers great potential for improving the quality of services provided, the efficiency and effectiveness of personnel, and also reducing organizational expenses. This paper seeks to examine various hospital information system (HIS) evaluation methods.

In this paper a comprehensive search of the literature concerning the evaluation of complex health information systems is conducted and used to generate a synthesis of the literature around evaluation efforts in this field. Three approaches for evaluating hospital information systems are presented – user satisfaction, usage, and economic evaluation.

The main results are that during the past decade, computers and information systems, as well as their resultant products, have pervaded hospitals worldwide. Unfortunately, methodologies to measure the various impacts of these systems have not evolved at the same pace. To summarize, measurement of users' satisfaction with information systems may be the most effective evaluation method in comparison with the rest of the methods presented.

The methodologies, taxonomies and concepts presented in this paper could benefit researchers and practitioners in the evaluation of HISs.

This review points out the need for more thorough evaluations of HISs that look at a wide range of factors that can affect the relative success or failure of these systems.