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The purpose of the study is to measure the impact of user adaptation of enterprise resources planning (ERP) post implementation through an appreciation of the benefits ERP provides to its users in Saudi Arabia (SA). The study will also measure the moderation effect of user experience with ERP on the relationship between user adaptation of ERP and user benefits from ERP.

The authors conducted a survey questionnaire study of 253 ERP users and tested the research model through the application of a hierarchical multiple regression analysis.

The findings show that user adaptation of ERP has a strong positive impact on ERP user benefits. In addition, it is found that the level of user experience with ERP has no significant moderation effect on the relationship between user adaptation of ERP and ERP user benefits.

The study findings suggest that functional management should develop appropriate strategies to effectively manage user adaptation of ERP. An equally important implication is for the ERP vendors to consider making their ERP systems as flexible and maintainable as possible by offering effective tools to easily accommodate changes in user requirements with minimum effort and cost.

This study provides insights into the inter-relationships between the motivation for improving user adaptation of ERP and gaining more benefits from ERP systems. It will also extend our understanding of the moderation effect of user experience with ERP on the relationship between user adaptation of ERP and ERP user benefits in developing countries.

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.

The purpose of this paper is to examine the impact of experience levels on consumers' value perceptions in their use of a social marketing preventative health service. The study uses services thinking to investigate customer value in a social marketing consumption situation.

An online, self-completion survey was conducted on n=853 Australian women who were users of breastscreening services.

Experienced users derived higher levels of functional and emotional value than novice users and reported higher levels of satisfaction and behavioural intentions to use the service again. However, path analysis indicated that satisfaction was a stronger driver of behavioural intentions for novice users.

The findings highlight the need to understand and segment target audiences in more meaningful ways beyond traditional demographic segmentation. There is a need to understand the value benefits that target audiences seek and acknowledge that these value and service experience perceptions are likely to change over time as target audiences transition from novice to experienced users. This is useful in allowing health services to consider ways of providing a degree of customisation to target audiences, resulting in higher levels of satisfaction, particularly amongst novice users, leading to behavioural intentions to return.

Two novel approaches are used to understand social marketing behaviour: value theory and a services perspective. Through the examination of experience levels, this study acknowledges the enduring nature of many social marketing behaviours, allowing social marketers to examine differences in target audiences' experiences based on whether they are new to or familiar with a behaviour. This provides a fresh perspective in understanding target audiences in social marketing through an understanding of their value perceptions which influence their behaviour, and how these value perceptions are likely to change over time.

With the advancements of Internet of Things (IoT) and artificial intelligence (AI) in recent years, smart objects (SOs) have been widely applied in the lives of consumers to fulfill a variety of functions. This research aims to explore the new interaction experience between consumers and a smart speaker that can create the effect of customer engagement by enhancing the gendered voice and product smartness.

This study conducted a 2 × 2 × 2 between-subject experiment to validate the research model and the hypotheses.

The results indicate that a high level of interaction experience between the users and smart speaker devices increases customer engagement. Smart speaker devices that present female voices have a high product smartness, whereas high levels of interaction experience are more effective in customer engagement. Furthermore, the results also show a moderate effect of gendered voice and product smartness between the interaction experience levels and customer engagement.

This study contributes to the assemblage theory and the interaction experience levels between users and smart speaker devices in IoT. Based on the results, suggestions on enhancing the smartness ability and application services of new smart speaker devices are proposed. The findings of this study can promote a more continuous interaction between users and smart speakers.

The purpose of this paper is to explore internet users’ experiences of cyberhate in the aspects of ethnicity, religion, sexual preference and political perspective.

Researchers employed an exploratory survey method to examine internet users’ experiences of cyberhate. The participants of the study were determined by purposive sampling methods to attain maximum variety among internet users with high-level digital literacy skills. The data were collected from 355 internet users affiliated with two universities in Turkey and the USA using a personal data form and a survey (Cyberhate Experience Survey) of which reliability and validity indexes were ensured.

The results indicated that participants have observed and experienced cyberhate at different levels targeting their ethnic, religious, gender-based and political identities. The findings also pointed out that gender, income and socio-political identities are significant variables on exposure to cyberhate regardless of cultural and educational boundaries. The majority of survey respondents reported that they had encountered cyberhate mostly on social media platforms.

The findings of the study imply that to address the hate speech problem comprehensively, the author must enlighten people, change their way of thinking and broaden their perspectives by using measures such as intercultural dialogue, critical thinking, media literacy, education on tolerance and diversity.

This research was intended to contribute into the need to elaborate on various aspects of cyberhate, which is shared by academics, thinkers, journalists and educators. It may also serve to clarify how frequently internet users encounter hateful content and harassment online, which can have social consequences and influence young people’s trust to other people.

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.

The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform, with customer type included to determine moderating effects. Three types of user experience are considered: information experience, entertainment experience and parasocial-relationship-based experience.

This study collected 458 valid questionnaires from TikTok users, employing the structural equation modeling approach to examine the proposed research model.

Information experience, entertainment experience and parasocial-relationship-based experience are found to critically stimulate user commitment to the influencer and commitment to the platform, in turn driving TikTok-based purchase intention. Tests incorporating customer type reveal that commitment to the influencer more strongly influences the purchase intention of repeat customers, with commitment to the platform more likely to stimulate purchase intention among potential customers.

On a theoretical level, the paper is among the first to examine TikTok-based user purchase intention with customer type as a moderator. On a practical level, the results can guide marketers to effectively promote products using TikTok and inspire TikTok managers to develop customized strategies to stimulate initial and repeat sales.

TikTok is moving to the stage of commercialization and monetization by introducing e-commerce features. Although this move should cultivate particularly fertile ground for companies to sell products, TikTok user purchase behavior has yet to receive sufficient research attention, with little currently known about their purchase motivations. The current study uncovers the significant antecedents of users' purchase intention through TikTok, and further reveals the motivational differences among potential and repeat customers.

Building on the “needs–affordances–features” framework, the authors explored how users are motivated by their needs to actualize the feature-enabled affordances and engage in the metaverse.

The data were collected through semi-structured and in-depth interviews with 35 participants. The authors applied thematic analysis to summarize the key features and affordances, supplemented by frequency analysis to explore the significance of the features. Sentiment analysis was employed to explicate the relationship between user affordance sentiments and engagement.

The key features of the metaverse portal components—hardware, software and content—afford user behaviors. The features of mechanics and physics engines are important for user engagement in the metaverse. The affordances are related to needs satisfaction and user engagement. Mental immersion was frequently mentioned by the participants, implying that it is significant to afford mental immersion in the metaverse.

The findings of the study provide a rich understanding for practitioners in the metaverse on how to use the features to afford user behaviors and engage them. The authors identified the key elements of user engagement that can be used to guide metaverse game designers.

This study provides a rich and systematic understanding of features, affordances, needs satisfaction and engagement in the metaverse. Going beyond a fragmented view, the findings conclude a research framework that weaves features, affordances, needs and engagement together.

This study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this relationship.

An experiment was conducted with 50 young adults to evaluate their user experience of a mobile application that simulates variations in network environment and response time. User experience was evaluated based on the three constituent dimensions of tolerance, acceptance, and satisfaction.

Analytical results demonstrate that response time not only adversely affects user experience of mobile applications, but that this effect is not homogeneous across the three dimensions of tolerance, acceptance and satisfaction. The findings also illustrate that gender moderates the effect of response time on user experience, however, the negative influence is more salient for males than females, which is opposite to our hypothesis. The joint moderating influence of gender and network environment turned out to be partly significant.

By illuminating users' tolerance, acceptance, and satisfaction with varied response times, findings from this study can inform the design of mobile applications such that desired levels of user experience can be assured with minimum resources.

Although response time has been hailed as a key determinant of user experience for desktop applications, there is a paucity of studies that have investigated the impact of response time on user experience for mobile applications. Furthermore, prior research on response time neglects the multi-dimensional nature of user experience. This study bridges the above mentioned knowledge gaps by delineating user experience into its constituent dimensions and clarifying the effects of response time on each of these dimensions.

Despite the increasing interest in the metaverse—immersive three-dimensional virtual worlds wherein personalized avatars interact with one another—little is known about how users cognitively appraise and emotionally experience it. To fill this gap, the present study explores the emotional, behavioral and social consequences of users' cognitive appraisals, while focusing on social virtual reality (VR) as a representative entry point to the metaverse.

Drawing on cognitive appraisal theory against the backdrop of a framework for classifying emotions, this study develops and tests a theoretical model to account for users' continuance intention and its consequences in the social VR context based on two-wave panel survey data collected from 216 users of social VR platforms, including AltspaceVR, VRChat, Bigscreen and Rec Room.

The results of the first survey showed that perceived opportunity was more strongly influenced by technological opportunity than social opportunity, whereas perceived threat was more strongly affected by social threat than technological threat. Integrating the data collected from the first survey with those of the second survey, we also found that users' continuance intention positively influenced both their behavioral engagement and social self-efficacy.

By adopting a longitudinal approach, this study provides insights that may be valuable to researchers and practitioners who seek to use social VR for business purposes. This study also contributes to the metaverse literature by conceptualizing and operationalizing the opportunity and threat factors of social VR and identifying salient emotions that users experience in this context. Finally, this study has practical implications for addressing the social and technological features that may cause adverse user experiences in social VR.