Purpose This paper aims to explore antecedents and consequences of intra-organizational knowledge hiding. Design/methodology/approach A model was developed and tested with data collected from 691 knowledge workers from 15 North American credit unions. Findings Knowledge hiding and knowledge sharing belong to unique yet possibly overlapping constructs. Individual employees believe that they engage in knowledge hiding to a lesser degree than their co-workers. The availability of knowledge management systems and knowledge policies has no impact on intra-organizational knowledge hiding. The existence of a positive organizational knowledge culture has a negative effect on intra-organizational knowledge hiding. In contrast, job insecurity motivates knowledge hiding. Employees may reciprocate negative knowledge behavior, and knowledge hiding promotes voluntary turnover. Practical implications Managers should realize the uniqueness of counterproductive knowledge behavior and develop proactive measures to reduce or eliminate it. Originality/value Counterproductive knowledge behavior is dramatically under-represented in knowledge management research, and this study attempts to fill that void.

Information Systems enjoyment has been identified as a desirable phenomenon, because it can drive various aspects of system use. In this study, we argue that it can also be a key ingredient in the formation of adverse outcomes, such as technology-related addictions, through the positive reinforcement it generates. We rely on several theoretical mechanisms and, consistent with previous studies, suggest that enjoyment can lead to presumably positive outcomes, such as high engagement. Nevertheless, it can also facilitate the development of a strong habit and reinforce it until it becomes a 'bad habit', that can help forming a strong pathological and maladaptive psychological dependency on the use of the IT artifact (i.e., technology addiction). We test and validate this dual effect of enjoyment, with a data set of 194 social networking website users analyzed with SEM techniques. The potential duality of MIS constructs and other implications for research and practice are discussed.

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Technology addiction is a relatively new mental condition that has not yet been well integrated into mainstream MIS models. This study bridges this gap and incorporates technology addiction into technology use processes in the context of online auctions. It examines how user cognitions and ultimately usage intentions towards an information technology are distorted by addiction to the technology. The findings from two empirical studies of 132 and 223 eBay users, using three different operationalizations of addiction, indicate that the level of online auction addiction distorts the way the IT artifact is perceived. Informing a range of cognition-modification processes, addiction to online auctions augments user perceptions of enjoyment, usefulness, and ease of use attributed to the technology, which in turn influence future usage intentions. Overall, consistent with behavioral addiction models, the findings indicate that users' levels of online auction addiction influence their reasoned IT usage decisions by altering users' belief systems. The formation of maladaptive perceptions is driven by a combination of memory-and learning-based and bias-based cognition modification processes. Implications of the findings are discussed.

Wireless value-added pay-per-use services, such as short messaging services (SMS), have attracted increased attention in recent years. Nevertheless, the extant literature has provided little insight into technology adoption of wireless pay-per-use services. Our study examined this adoption by combining marketing and IS perspectives through an empirical survey of 222 young-adult SMS users. It was hypothesized that perceived value would be a key multidimensional determinant of behavioral intentions. The paper therefore discusses a broadened conceptualization of technology adoption in which value tradeoffs (i.e., price, social, emotional and quality) are critical drivers in the adoption decision. #