Cyberslacking, or the non–work-related use of information technology during work hours, has emerged as an important concern for organizations and individuals, prompting the need to understand why, how, and when employees engage in this deviant workplace behavior. We develop a research model based on the transactional perspective of stress and neutralization theory and examine whether techno-invasion (i.e., the perception of being “always exposed” due to constant connectivity that blurs the desired work–life boundary) triggers a coping response (i.e., cyberslacking) through the psychological mechanism of neutralization, and whether this response affects performance outcomes (i.e., job performance). We then explore whether a team-level shared belief that it is safe to take interpersonal risks (i.e., a psychological safety climate [PSC]) serves as a cross-level boundary condition that reinforces the effect of techno-invasion. Our analysis of the data collected from a three-wave time-lagged survey of 219 employees and their team leaders across 60 work teams provides substantial support for our model. Our findings indicate that employees in teams with a strong PSC are more likely than their counterparts to adopt neutralization techniques and thus engage in cyberslacking when faced with techno-invasion, and that this can negatively affect job performance. This study calls attention to the potential psychological safety risks associated with integrating technology into the workplace. The implications for both research and practice are discussed.

Our study seeks to explain bystander inaction by guiding the regulation of delegitimizing doxing. We develop a contextualized research model by integrating attitudinal ambivalence theory and general deterrence theory. Our results innovatively uncover three congruence effects describing how positive and negative appraisals are combined to determine bystander inaction. Moreover, perceived SNS deterrence weakens the negative impact of attitudinal univalence on bystander inaction. As one of the pioneering empirical inquiries into delegitimizing doxing, our study contributes to theory and practice related to bystander intervention in delegitimizing doxing.

Cyberbullying on social networking sites is an emerging societal issue that has drawn significant scholarly attention. The purpose of this study is to consolidate the existing knowledge through a literature review and analysis. We first discuss the nature, research patterns, and theoretical foundations. We then develop an integrative framework based on social cognitive theory to synthesize what is known and identify what remains to be learned, with a focus on the triadic reciprocal relationships between perpetrators, victims, and bystanders. We discuss the key findings and highlight opportunities for future research. We conclude this paper by noting research contributions and limitations.

The current COVID-19 crisis has seen governments worldwide mobilising to develop and implement contact-tracing apps as an integral part of their lockdown exit strategies. The challenge facing policy makers is that tracing can only be effective if the majority of the population uses the one app developed; its specifications must therefore be carefully considered. We theorise on tracing apps and mass acceptance and conduct a full-factorial experiment to investigate how app installation intention is influenced by different app specifications based on three benefit appeals, two privacy designs, and two convenience designs. By applying quantile regression, we not only estimate the general effect of these app specifications but also uncover how their influence differs among citizens with different propensities for acceptance (i.e. critics, undecided, advocates) – a crucial insight for succeeding with mass acceptance. This study contributes to research in three ways: we theorise how mass acceptance differs from established app acceptance, we provide a fine-grained approach to investigating the app specifications salient for mass acceptance, and we reveal contextualised insights specific to tracing apps with multi-layered benefit structures. Our findings can guide policy makers by providing specification recommendations for facilitating mass acceptance of tracing apps during pandemics or other societal crises.

Microblogging is growing in popularity and significance. Although many researchers have attempted to explain why and how people use this new medium, previous studies have produced relatively inconclusive results. For instance, in most of these studies, microblogging has been considered a social networking activity; however, quantitative analyses of microblogging usage have shown that people use microblogging as an information‐broadcasting platform. In this study, we identified the factors that drive microblogging and which of them lead to user satisfaction. We developed a theoretical framework and then empirically validated the factors and the emergent mechanisms (value evaluation processes). We empirically tested our research model using a sample of 230 microbloggers, and the results showed that content and technology gratifications are the two key factors that drive user satisfaction with microblogging. That is, it is the value of information dissemination rather than social networking that makes people feel satisfied with the use of microblogging. We believe that this study will generate interest among researchers in social media. The results also provide platform administrators with insights into how people use microblogging and why they are satisfied with the technology.

Online social shopping communities are transforming the way customers communicate and exchange product information with others. To date, the issue of customer participation in online social shopping communities has become an important but underexplored research area in the academic literature. In this study, we examined how online social interactions affect customer information contribution behavior. We also explored the moderating role of customer reputation in the relationship between observational learning and reinforcement learning as well as customer information contribution behavior. Analyses of panel data from 6,121 customers in an online social fashion platform revealed that they are significant factors affecting customer information contribution behavior and that reinforcement learning exhibits a stronger effect than observational learning. The results also showed that customer reputation has a significant negative moderating effect on the relationship between observational learning and customer information contribution behavior. This study not only enriched our theoretical understanding of information contribution behavior but also provided guidelines for online social shopping community administrators to better design their community features.

Web 2.0 creates a new world of collaboration. Many online communities of practice have provided a virtual Internet platform for members to create, collaborate, and contribute their expertise and knowledge. To date, we still do not fully understand how members evaluate their knowledge‐sharing experiences, and how these evaluations affect their decisions to continue sharing knowledge in online communities of practice. In this study, we examined why members continue to share knowledge in online communities of practice, through theorizing and empirically validating the factors and emergent mechanisms (post‐knowledge‐sharing evaluation processes) that drive continuance. Specifically, we theorized that members make judgments about their knowledge‐sharing behaviors by comparing their normative expectations of reciprocity and capability of helping other members with their actual experiences. We empirically tested our research model using an online survey of members of an online community of practice. Our results showed that when members found that they receive the reciprocity they expected, they will feel satisfied. Likewise, when they found that they can help other members as they expected, they will feel satisfied and their knowledge self‐efficacy will also be enhanced. Both satisfaction and knowledge self‐efficacy further affect their intention to continue sharing knowledge in an online community of practice. We expect this study will generate interest among researchers in this important area of research, and that the model proposed in this article will serve as a starting point for furthering our limited understanding of continuance behaviors in online communities of practice.

Abstract Past research in information systems (IS) user satisfaction primarily adopted a conventional “key‐driver analysis” approach assuming that independent variables symmetrically and linearly affect user satisfaction. However, recent studies suggest that relationships in IS satisfaction models are more complex. Relying solely on symmetric and linear models runs the risk of systemically misestimating the impact of independent variables on user satisfaction. Building upon previous work, we empirically tested the asymmetric and nonlinear IS user satisfaction model in the context of Internet‐based portals. Results show that negative perceived performance on three of the four information‐quality attributes have greater impacts on overall satisfaction than do positive perceived performance. In addition, user satisfaction appears to display diminishing sensitivity to information quality in the domain of negative perceived performance but not in positive perceived performance. We expect that this study will generate interest in this new but important area of research.

Abstract User satisfaction has become one of the most important measures of the success or effectiveness of information systems (IS). In the current study, the dimensionality of Web‐based information systems (WIS) satisfaction was first examined. Two composite latent variable models with factor‐order structures were then empirically tested and compared to describe the relationships among observable variables concerned with WIS satisfaction. Using data from a sample of 515 university students, a third‐order composite latent variable model was retained based on statistical and theoretical criteria. At the third‐order level, WIS satisfaction is determined by two second‐order constructs: Web information satisfaction and Web system satisfaction. Web information satisfaction is determined by understandability, reliability, and usefulness, while Web system satisfaction is determined by access, usability, and navigation. Overall, the model provides a good fit to the data and is theoretically valid, reflecting logical consistency. Implications of the current investigation for practice and research are provided.

Abstract Multimedia Messaging Services (MMS) is a new medium that enriches people's personal communication with their business partners, friends, or family. Following the success of Short Message Services, MMS has the potential to be the next mobile commerce “killer application” which is useful and popular among consumers; however, little is known about why people intend to accept and use it. Building upon the motivational theory and media richness theory, the research model captures both extrinsic (e.g., perceived usefulness and perceived ease of use) and intrinsic (e.g., perceived enjoyment) motivators as well as perceived media richness to explain user intention to use MMS. An online survey was conducted and 207 completed questionnaires were collected. By integrating the motivation and the media richness perspectives, the research model explains 65% of the variance. In addition, the results present strong support to the existing theoretical links as well as to those newly hypothesized in this study. Implications from the current investigation for research and practice are provided.

Abstract The importance of trust in building and maintaining consumer relationships in the online environment is widely accepted in the Information Systems literature. A key challenge for researchers is to identify antecedent variables that engender consumer trust in Internet shopping. This paper adopts a multidisciplinary approach and develops an integrative model of consumer trust in Internet shopping through synthesizing the three diverse trust literatures. The social psychological perspective guides us to include perceived trustworthiness of Internet merchants as the key determinant of consumer trust in Internet shopping. The sociological viewpoint suggests the inclusion of legal framework and third‐party recognition in the research model. The views of personality theorists postulate a direct effect of propensity to trust on consumer trust in Internet shopping. The results of this study provide strong support for the research model and research hypotheses, and the high explanatory power illustrates the complementarity of the three streams of research on trust. This paper contributes to the conceptual and empirical understanding of consumer trust in Internet shopping. Implications of this study are noteworthy for both researchers and practitioners.

Despite the phenomenal growth of Internet users in recent years, the penetration rate of Internet shopping is still low and one of the most often cited reasons is the lack of consumers’ trust (e.g. Hoffman et al., 1999). Although trust is an important concept in Internet shopping, there is a paucity of theory-guided empirical research in this area. In this paper, a theoretical model is proposed for investigating the nature of trust in the specific context of Internet shopping. In this model, consumers’ trust in Internet shopping is affected by propensity to trust and two groups of antecedent factors, namely, "trustworthiness of Internet vendors" and "external environment". Trust, in turn, reduces consumers’ perceived risk in Internet shopping. As an important step towards the rigorous testing of the model, the necessary measurement instrument has been developed with its reliability and validity empirically tested. The psychometric properties of the measurement instrument have been investigated using both a classical approach (based on Cronbach’s alpha and exploratory factor analysis) and a contemporary approach (based on structural equation modeling techniques), as a way of methods triangulation for validating instrument properties. The resulting instrument represents a rigorously developed and validated instrument for the measurement of various important trust related constructs. This research contributes to the development of trust theory in e-commerce and add to the repository of rigorous research instruments for IS survey researchers to use.