Effective ways of prevention of addictive behaviours such as IT addiction remain absent. This study fills this gap by developing a model that builds on the self-regulation theory. This model seeks to understand how addictive symptoms are affected by two-stage of self-regulation approaches and IT mindfulness. We conceptualise addictive symptoms as both urge and addiction. Self-regulation approaches entail self-regulation strategies and responses. This study theorises strategies as both personal self-regulation (PSR) and social self-regulation (SSR), and responses as both cognitive emotion preoccupation (CEP) and cognitive behavioural control (CBC). The proposed model is largely supported by the empirical data, showing that IT mindfulness exerts a significant impact on self-regulation strategies, which in turn affect self-regulation responses and subsequent addictive symptoms. Besides, the mediation test illustrates that CEP has a mediation effect on the relationship between CBC and addictive symptoms. This study contributes to the literature by theorising a nomological network of self-regulation for understanding the relationship between IT mindfulness, two-stage self-regulation approaches, and negative IT use. We provide implications for both theory and practice.

Motivating viewers’ relationship development with live-streaming streamers faces challenge. This study fills this gap by proposing a model based on an integrated framework between flow and relationship management. We seek to analyze how post-adoption is facilitated by relationship development with streamers, which in turn is influenced by live-streaming socio-technical features and flow (optimal experience). Specifically, we conceptualize response to optimal experience as two-stage post-adoption, including relationship development and outcomes (emotional connectedness and donation). Empirical results support most hypotheses, showing that group norms and interactivity exert significant influence on flow, which in turn affects outcomes through relationship development. We provide implications for research and practice.

The rise of live streaming learning attracts online learners, but research on e-learners’ post-adoption behavior and community relationships remains inconclusive. Departing from traditional explanations using flow theory to interpret behavioral patterns, this study draws inspiration from IT mindfulness, conceptualizing it as a second-order construct, interpreting e-learners’ abilities in dealing with technology, encompassing the understanding of potential technological applications in dynamic environments and the exploration and utilization of new IT functionalities. This study proposes an IT mindfulness-commitment model based on social exchange and social cognitive theory to elucidate the dedication-constraint relationship between e-learners and community members and further investigate the postadoption outcomes triggered by the commitment process in the context of live streaming learning. The results of PLS-SEM use a sample of 252 e-learners who had experienced the online live streaming courses. The results indicate that the commitment relationship of perceived dedication and constraint has positive effects on continuance intention and trying innovation at the post-adoption stage and is influenced by IT mindfulness and its two antecedents: virtual competency and social identity. We draw on these findings to offer implications for researchers and practitioners.

This study aims to understand how self-regulation can improve perceived e-learning outcomes. We build on social cognitive theory to explore the antecedents and consequences of self-regulation. Self-regulation is captured as IT mindfulness and self-regulated learning. The proposed hypotheses are largely supported, showing that self-regulated learning affects perceived e-learning outcomes and is influenced by IT mindfulness and its antecedents, in terms of individual and contextual factors. This study collected questionnaire data from an e-learning system of university (i.e. Zuvio). This system provides both learning and social interaction features. This study provides a systematic analysis of self-regulation, which integrates social cognitive theory and the monitoring and controlling aspect to analyse how e-learners improve outcomes through self-regulation.

Extant research lacks a systematic analysis of how creators’ content creation can be motivated in a social media-enabled platform such as Twitch. This study fills this gap by building on self-presentation theory to develop a belief-motivation-intention model. We argue that creators’ identity management and community support affect content creation and is influenced by their beliefs on self-presentation, which are characterised as self-efficacy, norms and social involvement. The results of empirical data support the proposed model. Our results have significant theoretical and managerial implications.

The formation of a client firm's commitment to a business process outsourcing (BPO) remains unclear. To address this gap, this study uses trust-commitment theory and the relational view to explain how the benefits from the service provider's capabilities motivate a client firm's commitment. These capabilities are conceptualized as the service provider's process flexibility, and task-knowledge coordination together with the client firm's absorptive capacity and process alignment between the service provider and the client. We then build a theoretical model by considering the influence of these variables on commitment.

This study aims to understand why open source software (OSS) developers contribute and how their dispersed efforts are controlled to lead to viable outputs. Drawing on theories related to ideology and information sharing, a model is proposed and tested empirically. We found that OSS values are positively associated with collaborative elaboration and communication competence, which in turn affect the performance of OSS task in terms of task completion. Our results also delineate the relationship among OSS norms, collaborative elaboration and source credibility, and task completion. This research contributes to advancing theoretical understanding of OSS performance as well as providing OSS practitioners with guidelines on how OSS communities use OSS ideology to achieve better performance.

Grounded on expectation–confirmation theory (ECT), this study proposes an integrated model aiming to understand how participants' continuance intention of knowledge creation and satisfaction are affected by their perceived identity verification (PIV) and performance expectancy in an online community. To assess the theoretical model, we surveyed two online communities – Baidu (China) and Yahoo knowledge+ (Taiwan), including 213 and 216 useable responses, respectively. Both PIV and performance expectancy are positively associated with continuance intention of knowledge creation. In Baidu community, satisfaction is affected either directly by performance expectancy or indirectly by PIV (through performance expectancy). Our findings have implications for both practice and theory.