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This study aims to investigate the factors influencing the adoption and diffusion of knowledge management systems (KMSs) in Australia.

The study uses a mixed methodology approach. The research was carried out in three stages: field study, pilot survey, and national survey (top 1,500 companies). This paper reports the findings of the third phase of the study – the national survey. The data of the national survey was analyzed through structural equation modeling (LISREL).

The results indicate that individual factors and task complexity are the significant factors that influence the perceived usefulness of KMSs which, in turn, significantly influence the intention to adopt a KMS and its diffusion process. Some unexpected results were also found.

There is a scarcity of studies on the empirical perspectives of KMSs in the literature, especially in the area of adoption and diffusion. This research addresses this gap by studying the adoption and diffusion of KMSs in Australian organizations.

The purpose of this study is to solve this problem. Different lubrication states play a huge role in friction, wear and service life of parts. To ensure the reliability and power of the internal combustion engine, it is necessary to ensure that the friction pair has been in the best lubrication state. One of the key problems of lubrication state and transformation characteristics is to achieve real-time measurement of lubrication state.

Previous studies show that the contact resistance method is very effective in the qualitative analysis of lubrication state test. The circuit is simple and does not require expensive test equipment. But this method could not accurately reflect the film thickness ratio. Through a combination of experimental and theoretical analysis methods, the limitation of the contact resistance method could be overcome.

The relationship between the point contact film-thickness ratio and contact resistance was established, then the film-thickness ratio could be obtained through the contact resistance, thus providing the basis for determining the point contact lubrication state.

According to existing research, the lubrication state of the friction pair mainly was determined through two methods, the friction coefficient and film-thickness ratio. But there are limitations on either using Stribeck curves or optical interference methods. The method used in this paper not only provides a verified way of design theory and model, but is also beneficial to the formation of a new design theory.

A new real-time measurement method of lubrication state based on contact resistance is established and its practicability and veracity are verified by series experiments.

Aiming at the product with long storage and one‐time application, this paper establishes the mathematical model of storage reliability and mathematical model system storage reliability. According to the reliability test data of every part (subsystem) of the product, it evaluates the system reliability of the product and reliable storage life, and lower limit of system storage reliability and lower limit of reliable storage life on the credible level.

This paper aims to investigate structural characteristics of a business network comprising small and medium‐sized enterprises (SMEs), and to explore the relationships between such network characteristics and innovative capabilities of the participating firms.

This paper adopts a survey approach and conducts empirical analysis by drawing data from 92 firms operating in the packaging and printing industry in Shantou City, Guangdong Province.

In relation to the participating firms' innovative capabilities, density, reciprocity and multiplicity of the business network are figured out as factors with positive association, while hypotheses concerning intensity, non‐redundancy and betweenness of the network are not supported.

The authors only conducted a survey in a single industry in one location. Thus the extent to which the results of this study can be generalized remains to be further investigated.

Small and medium‐sized enterprises can enhance their innovative capability by understanding and leveraging the structure of the business network in which they participate.

This paper sheds additional insights to the relationship between a business network and firms' innovative capabilities in a Chinese context.

The study aims to explore the innovative characteristics of small- and medium-sized enterprises (SMEs) and the link between their innovation and business performance in the emerging Dubai market in the United Arab Emirates.

Using data from 200 SMEs, the study utilizes a structured survey that was developed from a methodical literature review. Both descriptive and inferential statistics were used to evaluate the findings.

The findings described the innovative characteristics of SMEs and suggested that there is a significant positive link between innovation and business performance.

The study offers SMEs with innovative behaviors a better perspective of their business and market environments. However, the study is limited to SMEs operating in the Dubai marketplace. Future research could also look at other markets and use qualitative research methods.

The study provides important insights that could guide SMEs in their understanding of innovation and its benefit in emerging markets. The findings reinforce the growing empirical evidence of the positive impact of innovation on business performance. The findings also challenge the assumption that innovation drains resources in emerging markets.

The purpose of this research is to investigate the drivers and inhibitors of clinical usefulness of handheld wireless technology in healthcare domain in Australia and India. Because of cultural differences in these two countries the paper also attempts to show how a cross‐national study of this nature can be carefully designed and undertaken to produce useful results.

A mixed‐method research design was used in this study. First, qualitative approach was used to develop the list of drivers and inhibitors in Australia and India via interviews and a research model was developed. This was then followed by a quantitative approach where questionnaire was developed and distributed to 300 health professionals each in both Australia and India. The collected data were analysed using a combination of optimal scaling and partial least square (PLS) techniques.

The result of the study was very interesting. The PLS application to the raw data did not support any of the hypotheses. As the study was cross‐national optimal scaling procedure were used to standardize the data and then PLS used again. It was then revealed that for Australia inhibitors significantly influence the clinical usefulness of handheld wireless technology while the drivers do not. However, for India the drivers significantly influence the clinical usefulness but the inhibitors do not. Possible reasons for such contrasting results are highlighted in the paper.

The sample size although appropriate for the tools used was a bit on the low side. The study did not follow up with representative respondents from Australia and India to get a deeper understanding of the results.

This study is original in the way the research model was developed from ground up. Our approach can be used for similar research. The study also makes original contribution in terms of designing an appropriate research approach for cross‐national study and how various data analyses tools can be used effective for meaningful outcomes.

This paper aims to investigate the factors influencing the adoption and diffusion of knowledge management systems (KMSs) in Australia.

A qualitative field study was undertaken, in which six Australian organizations of various sizes, all in various stages of KMS adoption and diffusion, were studied via face‐to‐face interviews with key personnel in the organizations.

A comprehensive combined model of adoption and diffusion of KMS was developed and is presented in detail.

This paper explains how the combined model can be used for practical applications in companies that are embarking on KMS adoption and diffusion.

This study contributes to the KMS literature by taking a qualitative research approach to develop a comprehensive model.

To implement a risk-based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications.

During the transition of a regulatory approach from “rule-based” to “risk-based”, this paper considers that the area of a customer, types of business and the industries to which the customer belongs are the main indicators to judge money laundering risk of a customer. Based on the statistical analysis of 221 typical money laundering cases, first-class index weights are given by using the entropy weight method and then by combining with the membership function, this paper determines a customer’s money laundering risk levels. On the basis of the entropy weight method, this paper uses the C5.0 algorithm to construct a decision tree model and then carries out application research on customer money laundering risk assessment to verify the effectiveness of the entropy weight method and the decision tree model.

This empirical research found the weights of three key money laundering indicators: customer areas, business types and corresponding industries.

Asserting that current money laundering risk assessments of customers are marginal at best, this paper contends from the perspective of practice, and applies the entropy weight method and the decision tree model for money laundering risk assessment of customers.