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The purpose of this paper is to empirically examine lean manufacturing (LM) practices and to quantify their impact on business performance (BP), with particular emphasis on the mediating role of operational performance (OP) in deriving the BP benefits commonly linked with LM. It also seeks to identify those lean practices most appropriate for application.

Empirical data on LM practices were collected using a structured survey questionnaire. The sampling frame was Jordanian companies registered and listed by the Amman Chamber of Commerce. In total, 500 questionnaires were distributed among 300 companies and a total of 249 completed questionnaires were eligible for statistical processing, a response rate of 49.8 percent. Invalid questionnaires were eliminated, leaving 228 usable. The theoretical relations were tested by structural equation modeling.

Although the results of the statistical analysis indicate a positive and significant impact of implementing LM practices on both OP and BP, they also show that the various LM practices did not receive equal recognition among the organizations surveyed. The most commonly adopted lean principles were found to be total preventive maintenance, statistical process control and housekeeping 5S.

Other lean practices have not been considered as a dimension in this study. However, it opens new avenues of investigation relevant to lean practices.

The most significant implication of the study is that managers in manufacturing firms should place more emphasis on LM practices when developing strategies for leveraging performance. The study shows that the LM approach contributes to BP when LM practices are simultaneously implemented.

The originality of this study lies in the new context in which it was conducted. The study adds value by investigating the implementation of LM practices which have been transferred from developed to developing countries and by empirically examining their impact on key performance indicators within the Jordanian manufacturing sector.

The potential for the adoption of a knowledge management system (KMS) is becoming a crucial matter in small and medium enterprises (SMEs); however, there is a scarcity of studies related to KMS adoption in SMEs. Therefore, the purpose of this paper is to advance further our understanding of the factors that influence the KMS adoption process among SMEs.

The collected sample size was 247 respondents. For statistical analysis, Smart partial least square (PLS) (a structural model-based tool) was used to build, run and validate the process model. PLS regression techniques were used to analyze the latent constructs. Smart PLS exhibits both the measurement model and the structural model.

The results indicate that knowledge management capabilities, knowledge sharing, organizational learning capabilities and IT capabilities are the significant factors which influence KMS adoption. This study also identifies some unexpected results.

The number of responses obtained from the survey was rather small. However, a larger number of responses would probably have resulted in a more accurate finding. Additionally, this study should be verified via a larger sample to increase its generalization.

The result of this study will provide SMEs with valuable guidelines to better understand what factors should be considered as highly important and thus providing decision makers and managers with valuable insights to increase the adoption level of KMSs.

The study addresses the research gap by developing and empirically validating a research model of KMS adoption from a different perspective that incorporates critical issues which have never been simultaneously examined.