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Purpose An organization can be understood as a knowledge network in which teams send and receive knowledge. Many studies have explored knowledge sharing across teams but did not consider the direction of knowledge flows (KF), specifically how the knowledge inflow (KIF) and knowledge outflow (KOF) can be induced and influence team activities differently. To fill this gap, this paper distinguishes between KIF and KOF, examines their antecedents and consequences and considers how KIF and KOF within a team moderate the relationship between antecedents and KF of a team. Design/methodology/approach This study used structural equation model analysis of a sample of 341 individuals within 73 teams from four companies. Findings The results suggest that IT support is essential because it influences both KIF and KOF. However, only KOF has a significant effect on team performance suggesting that ambidexterity is not always necessary. In promoting KOF, increasing task interdependency is also effective. The effect of IT support varies with the level of KIF diversity. Originality/value The findings emphasize the importance of distinguishing KOF from KIF in a team’s knowledge network under the theoretical lens of ambidexterity. Identifying how IT support influences KF and how these flows separately affect team performance can provide useful insights into managing and facilitating KF in an organization.

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The concept of people’s memory maintains the finiteness of time and capacity. However, with the advancement in technology, the amount of storage memory a person can use has increased dramatically. Given that digital traces can hardly be erased or forgotten, individuals have begun to express their desire to be forgotten in the digital world, and governments and academia are considering methods to fulfill such wishes. Capturing the difficulties in terms of a cultural lag between technological advancements and regulations on individuals’ data privacy needs, we identify six motives for individuals wishing to be forgotten online and investigate its expected effects on online content generation through a qualitative content analysis of 222 responses from open-ended surveys in Korea. Our findings provide implications for the literature on individual privacy and the right to be forgotten employing the cultural lag, as well as, elaborate further on the relationship between being forgotten online and the legitimacy of such requests of individuals. Additionally, implications for data providers, data controllers/processors, and governments to address this lag and build a balanced system of personal information are provided.