Purpose– The purpose of this paper is to present a novel mnemonic, ACTIVE, inspired by Mason's 1985 PAPA mnemonic, which will help researchers and IT professionals develop an understanding of the major issues in information ethics.Design/methodology/approach– Theoretical foundations are developed for each element of the mnemonic by reference to philosophical definitions of the terms used and to virtue ethics, particularly MacIntyrean virtue ethics. The paper starts with a critique of the elements of the PAPA mnemonic and then proceeds to develop (...) an understanding of each of the elements of ACTIVE ethics, via a discussion of the underpinning virtue ethics.Findings– This paper identifies six issues, described by the mnemonic, ACTIVE. ACTIVE stands for: autonomy, the ability of the individual to manage their own information and make choice; community, the ethical effect of an information systems on the community which it supports; transparency, the extent to which the derivation of content and process in an information system is made clear; identity, the social and ethical effect of an information system on the definition and maintenance of the distinctive characteristics of a person; value, the value or moral worth placed on information associated with an individual and hence on the relationship with the individual; and empathy, the ability of the information systems professional to emotionally connect with the user and the extent to which the information system distances or connects.Originality/value– The paper applies virtue ethics to developing a tool to help information professionals reflect on their ethical practice in developing and supporting information systems. (shrink)

Due to the societal dissemination of digital technology, people are increasingly experiencing environmental topics through digital media channels such as social networks. Several researchers therefore have proposed these channels as a possibility to strengthen sustainable development based on their cost-efficient nature. But while prior studies have investigated isolated factors for understanding environmental social media behavior, there is still scarce understanding of the relevant underlying motivational factors and possible connections with more traditional environmental behaviors. Therefore, the present study applied the established (...) socio-psychological model of goal-directed behavior (MGB) and compared the desires for liking as a fundamental form of digital social media behavior with the desires for two traditional environmental behaviors (money donation and volunteering) in a cross-sectional research design. Within the biodiversity conservation case of the Andean bear (Tremarctos ornatus) in Ecuador, we compared the antecedents for the desires for the corresponding environmental behaviors (RQ1) as well as their connections between each other (RQ2). Within a sample of 407 Ecuadorian students (Mage = 20.94 years, SD = 2.25, 61.2 % female), we found the marginal effect of perceived behavioral control on the desires for liking on social media as the main difference concerning the antecedents of the behaviors because money donation and volunteering largely depended on personal resources such as time or money. Furthermore, gender emerged as the second main difference between the behaviors due to it only being predictive for the liking motivation. Enjoyment was the only variable that coherently predicted all three behaviors. Finally, desires for liking on social media predicted both other behaviors in robust regression analyses, but were only predictive for volunteering in corresponding path models. The results illustrate how cost-efficient digital environmental behaviors such as liking may be suitable for sparking low-level environmental action, which may entail more pronounced forms of environmental activism, at least when they involve feasible personal costs. Overall, the findings are in line with prior research regarding the less demanding nature of liking, but further elaborate on the importance of gender for digital environmental behavior and correlates between digital and classical environmental behaviors. (shrink)