Paper ID
2820
Paper Type
full
Description
Modern information and communication technologies (ICT) help to overcome the traditional temporal and spatial boundaries of work. However, the same ICT enable employees to engage in work-related activities during non-work time. Given the huge amount of evidence regarding the negative consequences, paired with the political will to limit this behavior, it is surprising that research on its antecedents has remained scarce. Drawing on an extended theory of planned behavior the study addresses this gap. The results indicate that intention is the main driver, even when the behavior partly occurs on a habitual level. Intention, in turn, is determined by individuals’ attitude toward the behavior, perceptions of control and subjective norms. The proposed model remains robust regardless of gender and organizational distribution of ICT. The study contributes to a growing research stream that examines work connectivity behavior during non-work time.
Recommended Citation
Schmoll, René, "Explaining Work Connectivity Behavior during Non-Work Time with an Extended Theory of Planned Behavior" (2019). ICIS 2019 Proceedings. 26.
https://aisel.aisnet.org/icis2019/behavior_is/behavior_is/26
Explaining Work Connectivity Behavior during Non-Work Time with an Extended Theory of Planned Behavior
Modern information and communication technologies (ICT) help to overcome the traditional temporal and spatial boundaries of work. However, the same ICT enable employees to engage in work-related activities during non-work time. Given the huge amount of evidence regarding the negative consequences, paired with the political will to limit this behavior, it is surprising that research on its antecedents has remained scarce. Drawing on an extended theory of planned behavior the study addresses this gap. The results indicate that intention is the main driver, even when the behavior partly occurs on a habitual level. Intention, in turn, is determined by individuals’ attitude toward the behavior, perceptions of control and subjective norms. The proposed model remains robust regardless of gender and organizational distribution of ICT. The study contributes to a growing research stream that examines work connectivity behavior during non-work time.