Suchergebnisse

Purpose
Regret is an undesirable yet very common outcome of social networking site (SNS) use. To date, the literature has examined SNS regret at an aggregate level. The purpose of this paper is to decompose the dimensions and constituents of SNS regret into networking regret and brand page regret, to better understand it, and examine how the two facets of regret are created by SNS use intensity and gratification. The authors also decomposed SNS activities into networking activities and brand page activities and positioned them as predictors of networking regret and brand page regret, respectively.


Design/methodology/approach
The authors drew on uses and gratifications theory and positioned interpersonal connectivity and exhibitionism as the antecedents of networking activities as well as informational value and exhibitionism as the antecedents of brand page activities. The authors collected data from 246 Facebook users from France and analyzed the data using the partial least squares approach.


Findings
The results show that use intensity has a marginal effect on both brand page and networking regret. However, exhibitionism was found to reinforce the effect of use intensity on both brand page and networking regret. It also had a positive effect on both networking and brand page activities. The other two gratifications, interpersonal connectivity and informational value, had a positive effect on networking and brand page activities, respectively.


Originality/value
To date, empirical attempts at investigating decomposed SNS regret have been rare. The paper fills this theoretical and empirical gap and contributes to the literature on regret in an SNS use context.

PurposeSelf-promotion on social networking sites (SNSs) is a controversial issue as it has been attributed to various positive and negative consequences. To better understand the reasons for the mixed consequences and the nature of self-promotion on SNSs, the purpose of this paper is to theorize and empirically investigate the duality of SNS self-promotion and its underlying socio-psychological mechanisms.Design/methodology/approachBy drawing on the motivational affordance lens and self-determination theory, this study develops a theoretical account of the duality of self-promotion on SNSs. The author places subjective vitality and SNS addiction as the positive and negative consequences of self-promotion. The model was tested using partial least squares technique with data collected from 289 Finnish Facebook users using a survey.FindingsThe results show that self-promotion contributes to both subjective vitality and to SNS addiction. Importantly, exhibitionism attenuates the effect of self-promotion on subjective vitality and amplifies the effect of self-promotion on SNS addiction. The feature-level analysis shows that status updates, adding photos, commenting in others' posts and profile completeness are the main determinants of self-promotion. Status updates, adding photos and check-ins, in turn, have high exhibitionistic appeal.Originality/valueTo date, the empirical attempts to investigate the duality of SNS use have been rare. In particular, prior research is largely silent in explaining what tilt the outcomes of self-promotion either toward positive or negative direction. The paper fills this theoretical and empirical gap and thus contributes to literature on dualities of SNS use.

AbstractArtificial intelligence (AI) governance is required to reap the benefits and manage the risks brought by AI systems. This means that ethical principles, such as fairness, need to be translated into practicable AI governance processes. A concise AI governance definition would allow researchers and practitioners to identify the constituent parts of the complex problem of translating AI ethics into practice. However, there have been few efforts to define AI governance thus far. To bridge this gap, this paper defines AI governance at the organizational level. Moreover, we delineate how AI governance enters into a governance landscape with numerous governance areas, such as corporate governance, information technology (IT) governance, and data governance. Therefore, we position AI governance as part of an organization's governance structure in relation to these existing governance areas. Our definition and positioning of organizational AI governance paves the way for crafting AI governance frameworks and offers a stepping stone on the pathway toward governed AI.

This book constitutes the refereed proceedings of the 21st IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2022, which took place Newcastle-upon-Tyne, UK, in September 2022. The 37 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Artificial intelligence; Data and Analytics; Careers and ICT; Digital Innovation and Transformation; Electronic Services; Health and Wellbeing; Pandemic; Privacy, Trust and Security.