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We build on the transactional model of stress and coping and the appraisal theory of emotions to theorize how users cognitively and emotionally cope with IT addiction-induced stress, distinguish between the roles of guilt and shame in shaping the coping responses and their effects on one’s psychological well-being.

We test our theory via two complementary empirical studies in the context of social networking sites (SNS). Study 1 (n = 462) adopts a variable-centered approach using structural equation modeling to validate the research model. Study 2 (n = 409) uses Latent Profile Analysis to identify a typology of SNS users based on Study 1’s findings.

This paper provides a model of guilt-vs shame-driven cognitive-emotional coping with IT addiction and its effects on users’ psychological well-being. It also offers a typology of SNS users on this basis.

This paper sheds light on guilt-vs shame-driven coping with IT addiction and its consequences on users’ psychological well-being and identifies distinct classes of users based on their coping choices and their consequences.

Digital technologies have diffused into many personal life domains. This has created many new phenomena that require systematic theorizing, testing and understanding. Such phenomena have been studied under the Digitization of the Individual (DOTI) umbrella and have been discussed in the DOTI pre-International Conference on Information Systems workshop for the last three years (from 2015 to 2017). While prior years have focused on a variety of issues, this year (2018) we decided to put special emphasis on negative effects of the DOTI, i.e., “the dark side” of the DOTI.

This manuscript reports on a panel of three experts (in alphabetical order: John D’Arcy, Hamed Qahri-Saremi and Monideepa Tarafdar) who presented their past research in this domain, as well as their outlook for future research and methodologies in research on the DOTI.

The authors introduce the topic, chronicle the responses of the panelists to the questions the authors posed, and summarize and discuss their response, such that readers can develop a good idea regarding next steps in research on the dark side of the DOTI.

The authors introduce the topic of the dark sides of DOTI and point readers to promising research directions and methodologies for further exploring this relatively uncharted field of research.

Extant research has shown the prevalence of social networking site (SNS) addiction and provided evidence for its negative consequences. Given such consequences, it is conceivable that some users decide to discontinue their SNS use in response to SNS addiction. This paper examines key mechanisms that translate SNS addiction into discontinuance decisions.

A theoretical model is proposed based on the cognitive-affective model of behavior. It is empirically tested with data from 499 SNS users.

Results show that cognitive dissonance (as primary cognitive response) and guilt (as primary affective response) mediate the relation between SNS addiction and decision to discontinue SNS use, whereas self-accountability and perceived self-efficacy play positive and negative moderating roles. Additional analysis reveals that the effect of guilt on decision to discontinue SNS use follows a nonlinear pattern.

Additional cognitive and affective responses, beyond cognitive dissonance and guilt, as well as additional contextual factors may influence the relation between SNS addiction and decision to discontinue SNS use. In addition, the relation between decisions and actual discontinuance should be examined by future research.

This study highlights important key antecedents of the decision to discontinue SNS use, namely cognitive dissonance, guilt, self-accountability, and perceived self-efficacy, and the mechanisms underlying their influence. It also explains the nonlinear effect of guilt on the decision to discontinue SNS use.

Evidence suggests that retail investors who invest in individual stocks are, in the long run, largely outperformed by market indexes such as the MSCI World. While some turn to exchange traded funds (ETFs) to invest in such market indexes, few migrate completely to ETFs. This study aims to shed light on the rationale behind retail investors' partial and complete migration from stocks to ETFs.

Drawing from the pull-push-mooring framework, a qualitative study (N = 21) informs a quantitative study (N = 282) by following established mixed methods guidelines. This study develops propositions for partial and complete migration intention to ETFs.

Results reveal that perceived investment possibilities, perceived risk reduction, perceived administrative effort, perceived expensiveness and monetary loss costs influence the migration from stocks to ETFs. This study shows that three configurations of perceptions result in partial migration intention and one configuration results in complete migration intention.

This study explains why some migrate partially from stocks to ETFs and others migrate completely. Findings show that both migration behaviors are subject to the same perceptions, but the configurations that form the behaviors are different. While only some identified perceptions must be present for a partial migration, all of them must be present for a complete migration, as it requires retail investors to sell their stocks and accept the costs incurred to invest in ETFs instead.

Researchers continue to address the concept of self-disclosure because it is foundational for helping social networking sites (SNS) function and thrive. Nevertheless, the authors' literature review indicates that uncertainty remains around the underlying mechanisms and factors involved in the self-disclosure process. The purpose of this research is to better understand the self-disclosure process from the lens of dual-process theory (DPT). The authors consider both the controlled factors (i.e. self-presentation and reciprocity) and an automatic factor (i.e. social influence to use an SNS) involved in self-disclosure and broaden The authors proposed a model to include the interactive facets of enjoyment.

The proposed model was empirically validated by conducting a survey among users of WeChat Moments in China.

As hypothesized, this research confirms that enjoyment and automatic processing (i.e. social influence to use an SNS) are complementary in the SNS self-disclosure process and enjoyment negatively moderates the positive relationship between controlled factor (i.e. self-presentation) and self-disclosure.

Theoretically, this study offers a new perspective on explaining SNS self-disclosure by adopting DPT. Specifically, this study contributes to the extant SNS research by applying DPT to examine how the controlled factors and the automatic factor shape self-disclosure processes and how enjoyment influences vary across these processes – enriching knowledge about SNS self-disclosure behaviors. Practically, the authors provide important design guidelines to practitioners concerning devising mechanisms to foster more automatic-enjoyable value-added functions to improve SNS users' participation and engagement.