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Using Internet‐enabled mobile handheld devices to access the World Wide Web is a promising addition to the Web and traditional e‐commerce. Mobile handheld devices provide convenience and portable access to the huge information on the Internet for mobile users from anywhere and at anytime. However, mobile commerce has not enjoyed the same level of success as the e‐commerce has so far because mobile Web contents are scarce and mostly awkward for browsing. The major reason of the problems is most software engineers are not familiar with handheld devices, let alone programming for them. To help software engineers better understand this subject, this article gives a comprehensive study of handheld computing and programming for mobile commerce. It includes five major topics: (i) mobile commerce systems, (ii) mobile handheld devices, (iii) handheld computing, (iv) server‐side handheld computing and programming, and (v) client‐side handheld computing and programming. The most popular server‐side handheld applications are mostly functioning through mobile Web contents, which are constructed by using only few technologies and languages. On the other hand, various environments/languages are available for client‐side handheld computing and programming. Five of the most popular are (i) BREW, (ii) J2ME, (iii) Palm OS, (iv) Symbian OS, and (v) Windows Mobile. They are using either C/C++ or Java programming languages. This article will explain J2ME, a micro version of Java, and Palm OS programming, using C, by giving step‐by‐step procedures of J2ME and Palm application development.

The purpose of this paper is to explore teachers' behaviours in completing an internet survey using decision trees. Furthermore, to reduce the complexity of the decision trees, a statistical technique was used to decrease the number of input variables in the decision trees.

A dataset of 47,647 samples was used to build the decision trees. These samples were collected from an internet survey of teachers in Taiwan. The output of the decision trees was the answering time (the time taken to complete the internet questionnaire). Eight variables were selected as the inputs for the decision trees. Two techniques were employed to build the decision trees – the exhaustive chi‐squared automatic interaction detector (ECHAID) and classification and regression tree (CRT) analysis. To reduce the complexity of the decision models, factor analysis technique was used to decrease the data dimensions (number of input variables) and to obtain a simplified decision model. One‐way ANOVA was used to validate the effects of the dimension reduction.

From the results of the factor analysis, a simplified decision tree is recommended using four input variables – teaching years, school level, sex and area. The classification accuracy of the simplified model is statistically equivalent to that of the original one, which used eight input variables.

The complexity of decision trees theoretically depends on the number of input variables. This study used a statistical technique to decrease the number of input variables and thereby reduce the complexity of the decision trees. A statistical technique was employed to validate that the classification accuracy is not statistically different between the original decision model and the simplified one. The decision models proposed in this paper can be applied in estimating the answering time for completing a questionnaire during an internet survey.

The purpose of this paper is to examine the effect of parental and peer norms on idol worship as well as the effect of idol worship on the intention to purchase and obtain the idol’s music products legally and illegally.

A stratified, two-stage, cluster sampling procedure was applied to a list of high schools obtained from the Ministry of Education in Taiwan. A return rate of 80 per cent yielded 723 usable questionnaires, the data from which were analysed by the LISREL structural equation modelling software.

The results suggest that both social worship and personal worship have a significant and positive impact on the intention to purchase music. However, personal worship has a negative impact on the intention to pirate music while social worship appears to strengthen it.

The findings suggest that idol worship is more complex than previously understood. The constructs chosen in this research should be seen only as a snapshot but other variables such as vanity trait, autonomy, romanticism or involvement are not taken into account. Future studies would benefit from inclusion of these variables and a wider geographical scope.

The findings contain many implications to help marketing executives and planners better revise their existing marketing and communication strategies to increase their revenue.

Existing research has tended to examine the impact of idol worship as a whole on the reduction of music piracy, but overlook the two-dimensional aspects of idol worship, hence ignoring the fact that many music firms have not properly utilised idol worship to deal with the challenges associated with music piracy. The findings broaden existing understanding about the causes of two different dimensions of idol worship and their different impacts on the intention to music piracy.