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The paper aims to investigate the effect of compositions of managerial/demographic characteristics of the top management team (TMT) on the extent of information technology (IT) adoption in small businesses (SMEs), where such strategic decisions made by TMT have direct and significant influence on all aspects of business operations and its competitive position in a market.

Based on the upper echelon theory, the study formulated four hypotheses relating the compositions of TMT characteristics to the extent of IT adoption in different functional areas. Multiple regression analysis was employed to analyze the data.

The age average and the education average of TMT in small businesses are significant predictors of the extent of IT adoption. However, the group heterogeneity (either gender or ethnicity), contrary to the prediction, has negative impact on the extent of IT adoption.

The research findings indicate that the age and education composition of managers as current/future top management is critical to facilitate the extent of IT adoption in SMEs.

The research contributes to the body of knowledge in IT adoption by complementing the results of prior research with the findings that the characteristic compositions of TMT affect the extent of IT adoption in SMEs, applying the upper echelon theory to examine issues surrounding IT adoption, and suggesting practical implications that SMEs could compose, educate, and rejuvenate their top management teams to achieve a high extent of IT adoption.

The effective placement of ads is important, especially those placed on the World Wide Web. As a supplement to existing measure of visit count, proposes the use of “exposure” as a means to measure the effectiveness of the Web ad placement. Furthermore, based on the relationship among products placed on the same Web page and the purpose of the ad, proposes an analytical framework and guidelines on whether to make the ad a destination or a control site, in order to maximize the exposure and minimize the competition.

The purpose of this paper is to develop an analytical hierarchy process (AHP)‐based selection model for choosing a web analytics product/service that meets organizational needs.

The research objective is achieved through modeling and empirical validation.

While more criteria could be added, the proposed selection model provides a feasible approach to choosing a web analytics product/service. Cost‐ and risk‐related criteria are weighed heavier than those of technical capabilities. Tools based on the page tagging method are more popular than those based on transaction log file analysis. The level of technology savvy might play a role in the application of the selection model.

The development of web analytics products/service is still evolving. Thus, as the use of web analytics increases, more criteria might be identified and added to the model. The model is validated by groups for different sectors. In the future, it is suggested to conduct a similar study with one sector by different groups.

The selection model provides a process in which practitioners can systematically evaluate pros and cons of web analytics products/services. The selection model includes a comprehensive list of criteria that vendors of web analytics products/services can use to benchmark their products. Following this model, an organization contemplating the use of web analytics will more likely find one product/service that accommodates organizational and technological characteristics.

A sufficiently comprehensive list of qualitative and quantitative criteria for evaluating web analytics products/services was developed. Practitioners will be able to use the model to select a proper tool. In academia, the article fills a gap in literature that might bring academics' interests in this area.

E‐Teaching as the use of information and communication technology (ICT) in education is of growing importance for educational theory and practice. Many universities and other higher education institutions use ICT to support teaching. However, there are contradicting opinions about the value and outcome of e‐teaching. This paper starts with a review of the literature on e‐teaching and uses this as a basis for distilling success factors for e‐teaching. It then discusses the case study of an e‐voting system used for giving student feedback and marking student presentations. The case study is critically discussed in the light of the success factors developed earlier. The conclusion is that e‐teaching, in order to be successful, should be embedded in the organisational and individual teaching philosophy.