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A microstructural finite element model (MFEM) for granular material considering the microstructure of material is presentented. In the MFEM method, a volume of large number of particles is represented by an element consisting of a few nodal points. The stiffness matrix of the element is then formulated based on the contact stiffness and the packing arrangement of the particles. The method can be easily applied in the framework of finite element technique to solve boundary value problems in practical situations. Applicability of the model is evaluated by comparing the results of MFEM model with that from DEM model.

Online games are prevalent internet applications and are known for satisfying the various needs of users. Nonetheless, little is known about whether online games could be a resort for users encountering workplace frustration. Explaining how workplace frustration and users' need satisfaction affect loyalty of online gamers, this study aims to formulate hypotheses and develop a framework based on the self-determination theory (SDT).

The authors use an online survey to collect 848 responses and use structural equation modelling to test the hypotheses.

The authors find that workplace frustration, autonomy need satisfaction and competence need satisfaction are positively related to online gamer loyalty. Moreover, workplace frustration enhances the link between competence need satisfaction and online gamer loyalty.

The authors are the first to use SDT to identify the three antecedents and the moderator of online gamer loyalty. Our findings offer a key message that game providers could design effective means to retain their gamers by understanding their gamers' workplace frustration and informing them that playing games could alleviate the associated negative feelings.

Flow, or total concentration with intrinsic enjoyment, has been recognized as being able to enhance online gamer loyalty. However, some gamers who experience flow do not exhibit strong loyalty, posing the vital research question asking for whom flow would not enhance loyalty. Limited knowledge on this issue may lead game providers to assume that flow is influential in strengthening loyalty among all gamers, thus leading to suboptimal resource allocation and reduced effectiveness in retaining gamers. The purpose of the paper is to examine how gaming experience and gaming intensity moderate the impact of flow on online gamer loyalty.

In the paper, the hypotheses were tested using responses from 273 gamers.

The findings show that flow and gaming experience positively impact gamer loyalty. Gaming experience reduces the positive relationship between flow and gamer loyalty. However, gaming intensity does not reduce.

Game providers should focus on creating a flow experience to strengthen the loyalty of gamers with short-gaming experience. However, game providers should devise other means to strengthen loyalty among gamers with long-gaming experience.

The study challenged the assumption of flow theory, i.e. that flow always determines loyalty. Instead, the paper offers a moderator – gaming experience – which sets a boundary condition for this theory. Flow works well only among gamers with relatively short-gaming experience. The study also extended the literature on gaming experience by uniquely indicating its attenuating effect on the relation between flow and loyalty.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Online games are popular applications of Internet technology, with over 2.8 billion users worldwide. Many players engage in team gameplay, indicating that online games are suitable media through which players connect with their friends. However, past studies have not examined the ability of games to assist players in connecting with their friends, indicating a gap. To fill this gap, the authors propose a new concept, the friend-connecting affordance, which is the ability of an online game to enable players to contact friends within the game.

The authors built a model to explain how games' friend-connecting affordances influence game loyalty. The authors gathered responses from 1,347 online players and used structural equation modeling to test the model.

The authors found that friend-connecting affordances and team participation influence game loyalty. Gaming intensity and gaming history can moderate the impact of friend-connecting affordances.

This new affordance can be realized through various game elements, offering unique and actionable insights to game makers. The authors also compared the friend-connecting affordances among a number of popular online games, providing insights specific to each game and increasing the practical value of the findings.

TikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC? What is the impact of TikTok on the development of social media? In addition, what is UGC's social media model for user interactions in social networks? The purpose of this paper is to address and study these proposed issues.

All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules.

This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice.

This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.

Almost all inventory models assume that lead time is prescribed and thus is not subject to control. In many practical situations, however, lead time is controllable; that is, lead time can be shortened, at the expense of extra costs, so as to improve customer service, reduce inventory investment in safety stocks, and improve system responsiveness. Although some authors recognise the advantage of short lead time and suggest that it should be considered a variable for management to control instead of a given, there is a lack of a suitable inventory model for determining the optimal lead time. A probabilistic inventory model in which the lead time is a decision variable is presented. It is assumed that the demand follows normal distribution and the lead time consists of n components each having a different cost for reduced lead time. The objective is to determine the lead time that minimises the sum of the expected holding cost and the additional cost.

Online gamers form communities and offer game makers various revenue sources. Gamers' continual revenue contributions should depend on their commitment to gaming communities (CGC), where they rely heavily on communication media that carry rich information or provide enhanced media richness. However, no study has yet examined how to use the four elements of media richness to fuel gamers' CGC, revealing a research gap. Seeking to fill this gap, this study constructs a research framework and formulates hypotheses based on media richness theory (MRT).

This study obtained responses from 1,971 online gamers and applied structural equation modeling to test the hypotheses.

This study finds that the four media richness elements have selective impacts on network convergence and interdependence that result in CGC. Moreover, compared with interdependence, network convergence has a stronger impact on CGC.

The findings offer online game makers insights that will enable them to design the communication functions in games to support the formation of strongly connected gamer communities. Moreover, the findings advance MRT by showing its ability to explain the formation of online gaming communities.

Due to the rapidly increasing volume of users and products in virtual worlds, recommender systems are an important feature in virtual worlds; they can help solve information overload problems. Virtual world users are able to perform several actions that promote the enjoyment of their virtual life, including interacting with others, visiting virtual houses and shopping for virtual products. This study aims to concentrate on the following two important factors: the social neighbors’ influences and the virtual house bandwagon phenomenon, which affects users’ preferences during their virtual house visits and purchasing processes.

The authors determine social influence by considering the interactions between the target user and social circle neighbors. The degree of influence of the virtual house bandwagon effect is derived by analyzing the preferences of the virtual house hosts who have been visited by target users during their successive visits. A novel hybrid recommendation method is proposed herein to predict users’ preferences by combining the analyses of both factors.

The recommendation performance of the proposed method is evaluated by conducting experiments with a data set collected from a virtual world platform. The experimental results show that the proposed method outperforms the conventional recommendation methods, and they also exhibit the effectiveness of considering both the social influence and the virtual house bandwagon effect for making effective recommendations.

Existing studies on recommendation methods did not investigate the virtual house bandwagon effects that are unique to the virtual worlds. The novel idea of the virtual house bandwagon effect is proposed and analyzed for predicting users’ preferences. Moreover, a novel hybrid recommendation approach is proposed herein for generating virtual product recommendations. The proposed approach is able to improve the accuracy of preference predictions and enhance the innovative value of recommender systems for virtual worlds.

Online games are popular electronic commerce platforms in which gamers use avatars to interact with others. Avatar identification (the extent to which gamers regard avatars as an extension of themselves) is known to be related to online gamer loyalty. However, few studies have examined how avatars could be designed to enhance avatar identification and online gamer loyalty, indicating a gap. Therefore, the purpose of this paper is to contextualize self-affirmation theory into online gaming contexts, identified key theoretical elements and examined how they are related to avatar identification and online gamer loyalty.

This study surveyed 1,348 massively multi-player online role-playing game players, and their responses were analyzed using structural equation modeling.

The analytical results indicate that irreplaceability within a team and avatar customization are positively related to unique avatar image, while avatar customization is positively related to positive avatar image. Moreover, avatar physical attractiveness and avatar ability to achieve are positively related to positive avatar image. Both unique and positive images of an avatar (as perceived by the user) are positively related to avatar identification, and further to online gamer loyalty.

This study proposes new constructs: irreplaceability within a team, avatar ability to achieve, unique avatar image and positive avatar image. Such new constructs provide insights to aid electronic commerce managers in avatar design, thus instilling gamer identification with avatars, and thus loyalty.