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Diffusion studies investigate the propagation of behavior, attitudes, or beliefs across a networked population. Some behavior is binary, e.g., whether or not to install solar panels, while other behavior is continuous, e.g., wastefulness with plastic. Similarly, attitudes and beliefs often allow nuance, but can become practically binary in polarized environments. We argue that this property of behavior and attitudes – whether they are binary or continuous – should critically affect whether a population becomes homogenous in its adoption of that behavior. Models show that only continuous behavior converges across a network. Specifically, binary behavior allows local convergence, as multiple states can be local majorities. Continuous behavior becomes uniform across the network through a logic of communicating vessels. We present a model comparing the diffusion of both types of behavior and report on a laboratory experiment that tests it. In the model, actors have to distribute an investment over two options, while a majority receives information that points to the optimal option and a minority receives misguided information that points toward the other option. We predict that when adjacent persons receive misguided information this can hinder convergence toward optimal investment behavior in small networked groups, especially when subjects cannot split their investment, i.e., binary choice. Results falsify our theoretical predictions: Although investment decisions are significantly negatively affected by local majorities only in the binary condition, this difference with the continuous condition is not itself significant. Binary and continuous behavior therefore achieve comparable incidences of optimal investment in the experiment. The failure of the theoretical predictions appears due to a substantial level of error in decision-making, which prevents local majorities from locking in on a suboptimal behavior.

Continuous knowledge sharing by active users, who are highly active in answering questions, is crucial to the sustenance of social question-and-answer (Q&A) sites. The purpose of this paper is to examine such knowledge sharing considering reason-based elaborate decision and habit-based automated cognitive processes.

To verify the research hypotheses, survey data on subjective intentions and web-crawled data on objective behavior are utilized. The sample size is 337 with the response rate of 27.2 percent. Negative binomial and hierarchical linear regressions are used given the skewed distribution of the dependent variable (i.e. the number of answers).

Both elaborate decision (linking satisfaction, intentions and continuance behavior) and automated cognitive processes (linking past and continuance behavior) are significant and substitutable.

By measuring both subjective intentions and objective behavior, it verifies a detailed mechanism linking continuance intentions, past behavior and continuous knowledge sharing. The significant influence of automated cognitive processes implies that online knowledge sharing is habitual for active users.

Understanding that online knowledge sharing is habitual is imperative to maintaining continuous knowledge sharing by active users. Knowledge sharing trends should be monitored to check if the frequency of sharing decreases. Social Q&A sites should intervene to restore knowledge sharing behavior through personalized incentives.

This is the first study utilizing both subjective intentions and objective behavior data in the context of online knowledge sharing. It also introduces habit-based automated cognitive processes to this context. This approach extends the current understanding of continuous online knowledge sharing behavior.

Achieving continuous innovation performance still poses a major challenge to established companies as it requires high flexibility and adaptability in usually efficiently structured organisations. One way to tackle this challenge lies in establishing effective behaviours to successfully establish and apply innovation leadership mechanisms in an organisation. The emerging agile leadership style could provide such effective behaviours, as it addresses the demand for flexibility and adaptability on the organisational level. Despite these clear parallels research on the link between agile leadership and innovation leadership, and their possible combined contribution to drive continuous innovation performance is still in its infancy. Accordingly, the present study examines the behaviours of agile leaders to promote continuous innovation in established companies. It applies a discovery-driven research process of agile leaders to derive and categorise their behaviours. The subsequent comparison of the identified agile leadership behaviours with innovation leadership mechanisms from existing literature leads to eight specific, combined agile leadership principles within the three categories empowerment, performance enhancement, and support for continuous innovation. Eventually, this basis allows the conceptualisation of a first exploratory framework with the identified behaviours as possible enablers, and innovation leadership mechanisms as possible mediators for the continuous innovation performance, subject to test. These findings enhance existing theory by clarifying a possible link between agile leadership and continuous innovation. That way, practitioners can profit from concrete principles for agile leaders to inspire and enable continuous innovation in individuals and teams.

The purpose of this paper is to investigate users’ continuous adoption behaviors on mobile game playing from the perspective of situational habit formation.

Based on the literature research, a continuous adoption model for situational mobile game is proposed. And the research model is assessed based on data gathered from a sample of 226 mobile game players by employing the structural equation model methodology.

The results show that situational cues represented by availability, perceived ease of use and diversion lead to repeated performance that can be represented by flow experience and satisfaction in the situational mobile game playing context. But only flow experience and diversion influence continuous usage directly. Additionally diversion, as a critical situational variable, not only indirectly affects continuous usage intention through flow experience, but also directly affects continuous usage intention for situational mobile game playing.

Mobile game adoption has been studied from different perspectives, but most research is based on the technology acceptance model. They could not explain the common fact that young people tend to be highly motivated by mobile games and can be regarded as pro-active mobile game players, but many people play mobile games only when they are bored and need a diversion. So this study attempts to illustrate the phenomena to fill the gaps.

Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.

The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.

The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.

First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.

Drawing on and theorizing continuous change, the purpose of this paper is to investigate the antecedents of continuous change behavior in schools. Relying on conceptual discussions about organizational change (OC), three sets of variables including context (workload, participatory management, trust), process (knowledge sharing, social interaction) and outcome (job satisfaction) were identified as antecedents of continuous change.

To test the predictive value of the antecedents for continuous change, a correlational study was design and structural equation modeling was used to test the direct and indirect relationships among study variables. The data were collected from a sample of 648 primary and secondary public school teachers.

The results showed that context, outcome, and process factors function through direct and indirect paths to contribute to the prediction of continuous change behavior. Moreover, knowledge sharing either directly or indirectly played a central role in the prediction of continuous change behavior.

These results suggested that a widened knowledge base provides the basis for ongoing experimentation with, alteration, and modification of work categories in schools. Providing such factors in schools seems to facilitate the ongoing improvement of work practices in schools, even in the absence of a planned change intervention.

This study is one of the first empirical studies tested the predictive value of antecedents of continuous change in school organizational context, where OC is the norm and change failures are very common.

Consumers often start using mobile health apps but quit using them after a brief period of time. However, app providers can only ensure their long-term existence in the market if their app is used a long period, so that they can thus generate long-term revenue from advertising, subscriptions and sponsorships. Therefore, this study aims to gain a deeper understanding of the determinants of consumers’ continuous usage intention.

Based on a sample of 274 current mobile health app users, this study tests whether ideal self-congruence and/or functional congruence strengthens consumers’ continuous usage intention.

The results reveal that ideal self-congruence and functional congruence positively affect consumers’ continuous usage intention. Furthermore, an initial favorable attitude toward a mobile health app (i.e. ideal self-congruence) leads to a more favorable evaluation of the functional attributes of the app regardless of consumers’ objective evaluation of these attributes.

Providers should specifically take consumers’ ideal self-concept into consideration to increase consumers’ continuous usage intention of mobile health apps. Matching consumers’ ideal self-concept further leads consumers to a more favorable evaluation of the functional attributes of mobile health apps.

Only a few studies have examined factors influencing the continuous usage intention of mobile health apps; moreover, these studies have largely neglected the symbolic dimension of consumption behavior. Therefore, this study introduces congruence theory into the context of mobile health apps to provide a holistic view of the influence of the symbolic (i.e. ideal self-congruence) and utilitarian (i.e. functional congruence) dimensions on mobile health app consumption.

Prior studies have put much emphasis on using the uses and gratification (U&G) theory to find out why people use games, social media, the Internet, e-shopping, etc. Despite past research efforts, the root causes underlying this phenomenon still need to be discovered as to why people use interactive virtual rides (vrides) entertainment services, especially when incorporating the hedonic consumption perspective (i.e. playful-consumption experiences). Considering the knowledge gap in the vrides’ context, this study aims to use the UGT to find out why people use the vrides entertainment service from a hedonic consumption point of view.

With 217 usable responses, the research model was tested using partial least squares-based structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).

Findings reveal that only perceived enjoyment, arousal and sensory experience derive continuous intention behavior to consume vride entertainment service. Findings using the fsQCA revealed multiple causal configurations for the proposed outcome.

This study contributes to extending the assumption of UGT via incorporating the hedonic consumption perspective to explore the potential motives and intention to consume vrides entertainment services. Our study also discusses the important theoretical/practical implications of our findings. Besides, this study is unique because it shows both symmetrical and asymmetrical connections that help us understand why people keep using vrides entertainment service.

Mobile phone payment is a significant advancement in e-commerce and retailing. This study aims to look at the influencing factors for the attainment or letdown of mobile payment systems (MPS). The coping theory (CP) and innovation resistance theory (IRT) components were applied in the tourism sector.

The data were gathered from 402 tourists who utilized MPS for the first time to book their vacation. In a longitudinal study, an online questionnaire was used to contact clients of several travel businesses to predict their intentions and behavior. Covariance-based structure equation modeling (CB-SEM) was applied using IBM-SPSS AMOS to analyze the data.

CP factors provided highly thought-provoking results, calling into question several apparent beliefs. At the same time, the relationships covering the aspects of the IRT were supported. It has also been found that intentions are a valid predictor of behavior.

The study's findings can be used by governments, media houses, hotels and travel and tourism agencies, particularly in developing countries like Malaysia.

This study adds to the existing literature by offering a complete model that demonstrates the influence of conceptualizations utilized from the most robust theories connected to technology toward MPS for trip reservations from the perspective of developing countries. Importantly, this study measures the consumers' continuous buying behavior by employing a longitudinal research design.

As online learning is the embryonic form of education in the metaverse, it is extremely important to explore the behavioral preferences of users. The aim is to explore the impact of interactive features on continuous use in online learning and to further explore what kind of interaction mode should be constructed for different types of students to obtain the best educational experience.

The study developed an empirical model and used a real-world dataset to test hypotheses. Specifically, the interaction in online learning is analyzed from different dimensions, including the interaction intensity of multiple subjects, the immersion of interactive technology, the timeliness of interactive feedback, and the fun in interaction.

The authors found that the intensity of interaction, immersion, timeliness of feedback and fun in the interaction all had significant positive effects on continuous use. Among them, the most important is the interaction between teachers and students. With the growth of user grades, the role of parents in the interaction is getting smaller and smaller, and the fun in the interaction is gradually becoming unnecessary. For high school students, gamified interactions can even have a negative impact. In addition, from the perspective of gender, males prefer immersive interaction, while females pay more attention to themselves and have negative feedback on fees.

The authors deepened the interaction and summarized the impact of different interactive features on continuous use in online learning platforms. The authors focused on the impact of the immersive experience brought by the application of interactive technology, which can confirm the user behavior preferences of online learning in the context of the metaverse. The research also provides a reference for online learning institutions to set up course interaction modes and targeted marketing programs.