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This study extends the viewpoint of “fit as holistic configurations” to explore how to use knowledge management (KM) processes and knowledge management system (KMS) capabilities appropriately according to the tasks characteristics subunits perform in an aerospace manufacturer. In this regard, the aim is to develop four theoretical ideal profiles of KM processes (socialization, externalization, combination, and internalization) and KMS capabilities (codification capability and network capability) for organizational subunits based on their task characteristics: focused, process‐oriented tasks; focused, content‐oriented tasks; broad, process‐oriented tasks; and focused, content‐oriented tasks.

The empirical study was conducted at a knowledge intensive and engineering‐oriented aerospace company. Twelve functional subunits performing a variety of tasks were selected as the samples. The study employed qualitative and quantitative methods to understand the subunits' task attributes. The authors collected data from 12 subunits, and a total of 212 valid questionnaires were analyzed. PLS‐Graph was used to assess the relationships of the research model.

The empirical support for the argument that the fit among KM processes, KMS capabilities and task characteristics can improve KM performance. Results reveal that fit significantly affects knowledge satisfaction, knowledge quality and creativity for subunits performing focused, process‐oriented and broad, process‐oriented tasks.

The findings reflect the fact that individuals within organizational subunits should use the four KM processes of appropriate levels to generate new knowledge to accomplish their tasks.

The study uses a multidimensional and multi‐item approach to test the effect of factors on KM performance, and is the first to identify ideal profiles of KM process and KMS capability for different organizational subunits.

The purpose of this study is to draw on expectancy disconfirmation theory (EDT) to explore e‐service quality and the factors influencing an individual's loyalty intention towards online auctions.

The authors conducted an empirical study and data were collected from a total of 619 bidders in online auctions. A structural equation modeling (SEM) is used to assess the relationships of the research model.

The findings show that e‐service quality dimensions including efficiency, privacy protection, contact, fulfillment, and responsiveness have statistically significant influences on buyer's disconfirmation. Besides, buyers' disconfirmation of online auctions is positively associated with their satisfaction, and their satisfaction is positively associated with loyalty intentions.

The auctioneer should focus on purchase efficiency and protect the buyer's privacy. The seller should actively make contact with the buyer, fulfill order delivery, and respond to problems. Thus, the performances of auctioneer and seller are the true reassurance to buyers.

This study, which aims to shed light on e‐service quality in online auctions, is the first study that has applied an EDT‐based model to investigate the determinants of buyer's loyalty intention in online auctions.

The purpose of this study is to integrate expectancy disconfirmation theory (EDT) to explore cognitive beliefs and affect influencing an individual's intention to repurchase in online marketplaces.

The paper used EDT to conduct an empirical study and data were collected from a total of 303 bidders of online auctions. A structural equation modeling (SEM) was used to assess the relationships of the research model.

The findings show that bidders' disconfirmation of online auctions is positively associated with their satisfaction, which in turn is positively associated with their repurchase intentions.

Both bidders' expectation of policy and auctioneers' performance of policy are important determinants of disconfirmation. Auctioneers need to recognize the distinctive roles of information policy in selling and bidding rules. Besides, neither bidders' expectation of sellers' reputation nor their expectation of service quality has a significant relationship with disconfirmation. This finding implies that in a mature e‐commerce environment bidders pay more attention to the sellers' performance than their prior expectation.

This study, which aims to shed light on bidder behavior in online auctions, is the first study that has applied an EDT‐based model to investigate the determinants of repurchase intention in online auctions.