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The current work builds on the dual process theory of habituation and sensitization to empirically investigate theory-based mechanisms through which social media use habit influences continued social media use intentions in the context of problematic social media use (SMU).

We build on the dual process theory of habituation and sensitization and test our model with structural equation modeling technique applied to survey-based data collected from 337 social media users.

Findings suggest that SMU Habit may increase user's perceived Habituation and directly reduce user's experienced SMU related Exhaustion. Furthermore, Habituation and SMU related Exhaustion are negatively associated in a nonlinear fashion. Also, SMU Habit may promote higher level of SMU Dependency through Sensitization. Increased level of SMU Dependency is associated with increased level of SMU related Exhaustion. Thus, SMU Habit simultaneously shapes two opposing forces driving continued use decisions.

The current work can serve as a basis for developing effective interventions especially given the increase in problematic uses of IS fostered by the development of technology use habits.

Although separate strands of research independently examined the role of “pull” forces such as SMU dependency and the role of “push” forces such as SMU related Exhaustion in influencing users' inclination toward future SMU, a unified theoretical framework considering the triad of SMU Habit, “pull” and “push” forces together is yet to be offered. Deploying Habituation–Sensitization theory will shed new light on dual mechanisms through which habit drives continued use decisions in SMU context. Thus, the current work can serve as a basis for developing effective interventions given the increase in problematic uses of IS.

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.

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.

Controversial information systems (IS) represent a unique context in which certain members of a user's social circle may endorse the use of a system while others object to it. The purpose of this paper is to explore the simultaneous and often conflicting roles of such positive and negative social influences through social learning and ambivalence theories in shaping user adoption intention of a representative case of controversial IS, namely online dating services (ODS).

The model was tested with two empirical studies using structural equation modeling techniques. The data of these studies were collected from 451 (Study 1) and 510 (Study 2) single individuals (i.e. not in a relationship).

(1) Positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence exerts a greater impact on perceived risks; (2) positive and negative social influences affect adoption intention toward ODS differently, through benefit and risk assessments; and (3) ambivalence significantly negatively moderates the effects of social influences on adoption.

This study enriches and extends the IS use, ambivalence theory, prospect theory, and social learning theory research streams. Furthermore, this study suggests that it is necessary to focus on not only the oft-considered positive but also negative social influences in IS research.

While social networking sites (SNS) have many positive aspects, they can have several adverse outcomes, among which privacy violations are a vital concern. The authors first posit that concerns regarding privacy violations can drive attempts to reduce SNS use. Next, the authors note that these violations can have two sources: peers and the social media provider. Thus, there is a need to understand how this complex system of privacy concerns affects use reduction decisions. To do so, this paper aims to examine the separate and joint roles of institutional and peer privacy concerns in driving SNS use reduction.

Based on privacy calculus theory, the authors propose a theoretical model to explain SNS use reduction, with institutional and peer privacy concerns as independent variables. The authors empirically examine the research model using a sample of 258 SNS users.

This study reveals that institutional and peer privacy concerns independently increase one's intention to reduce SNS use and that institutional privacy concern strengthen the relation between peer privacy concern and the intention to reduce SNS use.

Research thus far has not examined how the two facets of privacy work in tandem to affect 'users' decisions to change their behaviors on SNS platforms. Considering the unique and joint effect of these facets can thus provide a more precise and realistic perspective. This paper informs theories and models of privacy and online user behavior change.

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.

Social commerce websites have emerged as new platforms which integrate social media features with traditional commerce aspects to enhance users’ purchasing experience. The purpose of this paper is to examine the role of social factors such as trust toward site members in determining users’ trust and risk evaluations, and the role of social commerce use habit in attenuating users’ rational risk and trust considerations for developing purchase intentions.

Relying on the risk deterrence perspective and rational decision-making models involving trust and habit, this study proposes a set of hypotheses which are tested through analyzing survey data using structural equation modeling techniques.

Results show that commerce risk deters purchasing intentions; trust toward the social commerce website increases users’ purchasing intentions; and trust toward the site members indirectly increases purchasing intentions. Moreover, trust toward site members reduces perceived commerce risk. Findings also show that habit modulates trust and risk effects on use decisions in this context; habit moderates (weakens) the relationships between commerce risk and purchase intentions and between trust toward the social commerce site and purchase intentions.

This study extends theories on decision making in social settings such as in the case of social commerce. It does so by accounting for unique modulating effects of habit in social settings in which social aspects such as trust in other members and risk are unique and important.

The purpose of this paper is to validate empirically a theoretical model that integrates an innovative construct capturing consumers’ non-adoption risk belief associated with not using a mobile service designed to support them in a non-leisure activity.

A theoretical model contrasting perceived non-adoption risk to perceived adoption risk of a mobile service supporting health promotion was developed and tested with a sample of potential consumers in North America.

Results show that non-adoption risk is a moderately strong antecedent of motivational factors in contrast to adoption risk that hinders the acceptance of a mobile service supporting health promotion.

Healthcare is a highly sensitive social sector, so possible negative consequences of not using the support of a mobile service are an additional motivation for adopting this service. Future research should test the role of non-adoption risk in other contexts of technology use, including non-leisure settings.

Making potential users see the possible negative consequences of not using a mobile service designed to support them in a non-leisure activity increases their motivation and, subsequently, intention to use the service.

Educational efforts to making consumers see the risks of not using a supporting technology application appear to be justified.

This study demonstrates the significant role of non-adoption risk belief that captures the negative consequences individuals may perceive if they fail to use as expected a mobile service application designed specifically to help them.

This study aimed to investigate the impact of e-commerce capabilities on agricultural firms’ performance gains through organizational agility.

A survey was used to collect data from 280 managers of agricultural firms. The proposed model was tested via structural equation modeling.

The empirical results indicated that organizational agility plays a mediating role in conveying the positive influences of e-commerce capabilities on agricultural firms’ performance gains. Specifically, managerial, talent and technical capabilities have different effects on market capitalization and operational adjustment agility, with talent capability performing the most important role. Market capitalization and operational adjustment agility have positive impacts on financial and nonfinancial performance gains, respectively.

This study provides a new framework to understand the relationships between e-commerce capabilities, organizational agility and agricultural firms’ performance gains.

The purpose of this paper is to investigate the nature of the underlying social motivation, including collective norm and subjective norm, which shapes users’ decisions to revisit a social commerce site.

Structural equation modeling was used to evaluate the research model using data from a survey of 531 social commerce users.

Results support the importance of subjective and collective norms as measures of social norm. Both norms were combined to: develop a parsimonious higher order measure of social motivation, and examine the consequent impact on social commerce continuance behavior. In addition, the authors demonstrate that the factors that influence the social impact theory variables, specifically time spent during each visit, affective experience and gender can moderate the impact of social norm on social commerce continuance use intention.

Social commerce website designers can provide visibility of the number of a user’s close contacts (or contacts that the user either interacts with or follows) as well as the total number of people using the same technology as a visual cue to encourage user retention on the site.

The results indicate that customers’ social commerce revisit intentions are strongly influenced by a combination of how they perceive the behavior as endorsed both by their friends and by the majority view in their social network.

This study examines and validates sources of social influence that affect continuance use intention with social technologies such as social commerce sites.