Purpose -Drawing on the concept of fit, this paper aims to propose a knowledge management (KM) fit model within which KM strategy, IT strategy, and HRM strategy are coaligned and to empirically test this model with empirical data.Design/methodology/approach -Data for hypotheses testing are collected from top-ranked companies in Taiwan; yielding 161 valid samples. Performance implications of fit are examined using multiple perspectives with covariation and matching approaches.Findings -The findings show that the holistic perspective of fit as covariation supports the fit relationships on business performance. In addition, with the reductionistic perspective of fit as matching, the findings also show their bivariate relationships have significant impacts on business performance.Research limitations/implications -A successful KM project must take various attributes into account, to ensure a positive outcome. In such a context, organization, process, human resources, and IT are thought to be the key elements and enablers for best KM practices. Thus, cogitating and integrating various factors related to the KM area are considered by researchers to be the most important tasks. However, fit mechanism is a dynamic process. The authors suggest that future research should adopt a longitudinal view to deal with the dynamic changes that may occur in fit operations.Originality/value -There has been little attempt to explore KM issues by using multiple perspectives to examine the performance implications of fit on business performance. Thus, the authors posit that performance measuring in growth and profitability are affected by fit among these three KM-related strategies.

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Over the past decade, new innovative products and services have been introduced into the marketplace using advanced technology. The enticement of new products lures consumers to buy compulsively. Because of the convenience and the characteristics of online shopping, it will increase the incidence of compulsive-buying behavior. Meanwhile, due to the fact that the COVID-19 pandemic is continuing to spread around the world, consumers may change their decision-making and behavior to shop online more frequently and intensively. The repetitive shopping online means more cardboard, delivery transportations, and vehicles and that more goods will be produced. It will result in an unfriendly result for the environment. Given the critical role of compulsive buying in the emerging Internet retail environment, it is necessary to develop and validate an instrument to measure the Internet compulsive-buying tendency (ICBT). Therefore, a rigorous measurement-scale-development procedure was applied to evaluate the initial 31 items. After two rounds of data collection and assessment, the final instrument contained 18 items that fall into four subconstructs: the tendency to spend online, feelings about online shopping and spending, dysfunctional online spending, and online post-purchase guilt. These factors can provide a basis for predicting tendencies toward Internet compulsive shopping and can be used to evaluate consumers’ abnormal behavior in online-shopping circumstances.

This project achieved a significant improvement in establishing evidence-based practice regarding maintenance of totally implantable ports in the general surgery ward. Strategies in sustaining best practice should be developed in the future.