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This paper aims to investigate how user expectations affect value-added service (VAS) investment and pricing decisions of two-sided platforms. It draws on the information asymmetry theory and offers suggestions on how platform operators can manage user expectations.

According to the game theory, this study considers three user expectations (responsive, passive and wary). By framing the Hotelling duopoly model and comparing the VAS investment, price and platform profits, the optimal platform decision is analyzed and discussed.

The conclusions demonstrate that the monopolistic two-sided platform obtains more profits from the informed users with responsive expectations than uninformed users with passive or wary expectations. The marginal investment cost and cross-network externalities are two key factors that determine the platform's VAS investment and pricing strategies of passive or wary users. Furthermore, considering the expectation preferences, i.e. the uniformed users hold wary expectations with more information and hold passive expectations with less or no information, the results suggest that the proportion of wary users to all uninformed users increases the platform's VAS investment, profits and the price of informed users, and increase (decrease) the price of uninformed users when the cross-network externalities of informed users are relatively small (larger).

These results can provide insightful enlightenment into how platform operators utilize bilateral users' expectations and information level to guide their VAS investment and pricing decisions.

This paper is one of the first to explore the impact of three user expectations and the heterogeneity of preferences in informing users' passive or wary expectations, based on different levels of information on the decision-making of two-sided platforms regarding VAS.

People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in SNS. This study aims to explore the relationships between users' multidimensional psychological needs and multiple social interaction patterns in SNS.

Based on Maslow's hierarchy of needs and use and gratifications (U&G) theory, the authors develop the research model to examine the effects of psychological needs on DOSIP. A survey is used to collect the data of SNS users' social interaction. The authors adopt structural equation modeling–neural network (SEM-NN) integrated method to examine the research model.

Need to belong, need for self-esteem, need for social contact, need for emotional expression, need for cognition, and need for external-esteem have significant influences on both active and passive social interactions respectively.

Based on the categorization of DOSIP into six types in terms of the level of activity and disclosure of social interaction, the authors construct an integrated research model of multidimensional psychological needs to multiple social interaction patterns, and validate the antecedents of DOSIP from the perspective of psychological needs.

This study aims to use empowerment theory to examine the relationship between a user's engagement type (active or passive) and psychological empowerment (intrapersonal and interactional) in the context of a social media brand community (SMBC). This study also looks at the impact of psychological empowerment on brand community commitment (CC) and brand loyalty.

Convenience and snowball sampling were used to select respondents from mobile phone brand communities in India. The conceptual model was tested using structure equation modelling.

According to the study findings, active user involvement in SMBC is strongly associated to both intrapersonal and interactional empowerment (IE), but passive user engagement is weakly related to IE. Furthermore, customer empowerment and CC have a strong impact on brand CC and brand loyalty.

SMBC is now a significant point of contact for building strong consumer–brand relationships. SMBC members who are actively involved in the community have greater emotional bonding, trust and commitment to the brand. Therefore, social media marketers should encourage their customers to get involved in a brand community and empower them by involving them in brand related decision, etc. This will help the community grow and thrive.

This study addresses a research gap by examining how active and passive members of an SMBC facilitate both focal points of psychological empowerment (intrapersonal and interactional), which increase the brand community's commitment and brand loyalty.

The purpose of the current study is to examine a social network site (SNS) users' overall satisfaction with SNS use in conjunction with their fan page visiting activities. We examined overall satisfaction with SNS usage from the lens of people's perceptions acquired from the use of sub-components of SNS.

The current study employed uncertainty reduction theory (URT) and general systems theory (GST) to examine antecedents affecting overall satisfaction with SNS use. Five constructs were adopted: interactive and passive uncertainty reduction strategies, perceived usefulness and continuance visiting behavior, satisfaction, and perceived functional benefits. Using a web-based survey, we analyzed 200 SNS users who follow at least one company's fan page, utilizing seemingly unrelated regression models to test hypotheses empirically.

Research findings reveal that uncertainty reduction strategies supported by URT are significantly associated with the perceived usefulness of a company's fan page. In turn, we found that perceived usefulness becomes a strong motivator to continuance visits to the fan page. The frequency of return visiting behaviors eventually accounts for overall satisfaction with SNS. Perceived functional benefits moderates the relationship between perceived usefulness and visiting behaviors significantly.

The current study contributes to information systems (IS), electronic communication, and their adjacent academic disciplines in providing evidence, including (1) the impact of uncertainty reduction strategies on continuance visiting behaviors in the SNS context, (2) SNS functionalities influencing the relationship between people's belief and behavior, and (3) theoretical significant perceptional link between a sub-component and a whole.

The COVID-19 pandemic triggered an increase in online traffic, with many assuming that this technology would facilitate coping through active social connections. This study aims to interrogate the nature of this traffic-engagement relationship by distinguishing between passive (e.g. browsing) and active (e.g. reacting, commenting and sharing) engagement, and examining behavioral shifts across platforms.

Three field studies assessed changes in social media engagement during the COVID-19 pandemic. These studies included social media engagement with the most followed accounts (Twitter), discussion board commenting (Reddit) and news content sharing (Facebook).

Even though people spent more time online during the pandemic, the current research finds people were actively engaging less. Users were reacting less to popular social media accounts, commenting less on discussion boards and even sharing less news content.

While the current work provides a systematic observation of engagement during a global crisis, it does not claim causality based on its correlational nature. Future research should test potential mechanisms (e.g. anxiety, threat and privacy) to draw causal inference and identify possible interventions.

The pandemic shed light on a complex systemic issue: the misunderstanding and oversimplification of how online platforms facilitate social cohesion. It encourages thoughtful consideration of online social dynamics, emphasizing that not all engagement is equal and that the benefits of connection may not always be realized as expected.

This research provides a postmortem on the traffic-engagement relationship, highlighting that increased online presence does not necessarily translate to active social connection, which might help explain the rise in mental health issues that emerged from the pandemic.

This paper aims to categorize users of voice assistants and analyze decision-making conflicts to predict intention to adopt voice commerce (v-commerce).

This exploratory study used expert survey-based data collection founded on data saturation.

This study identifies three forms of voice systems based on senses aroused (screen first, voice only and voice first) and four profiles of voice users (passive resistant, hedonistic adopter, utilitarian adopter and active resistant), each with a different appraisal of the benefits and costs of v-commerce adoption and the experiences (positive or negative) felt during the shopping experience. This study proposes a conceptual model to predict intention to adopt v-commerce depending on voice-system and -user characteristics.

Learning from this study can help improve the marketing strategies and actions put in place by voice-assistant brands and advertisers by providing insights for adapting product recommendation algorithms to meet the needs of the identified profiles.

This paper provides an answer to the limits of classical approaches based on “one-size-fits-all” strategy by showing how voice-assistant users have different profiles that span a gradient of advance in technology adoption.

Interactive products include all of the new computerized vending, service, and consumer products such as video games, automatic tellers, and telecommunications shopping systems. Human factors researchers and other behavioral scientists who study these machines seek to make them more “user friendly.” Most of their research, however, is aimed at making them less uncomfortable and less difficult to use. In contrast, this paper describes a paradigm for making these machines more stimulating and fun to use. A case study is provided which describes how this paradigm was applied in the design of a teaching machine, the “Talking Typewriter,” a forerunner of Texas Instrument's successful “Speak 'N Spell” and today's educational software packages.

The purpose of this paper is to analyse the impact of the following variables: brand fan page dependency; parasocial interaction; attitude towards brand fan pages in enhancing users’ participation in Facebook as a mobile social network (m-WOM).

An empirical study was carried out by means of online interviews with structured questionnaires. To analyse the data, and estimate the hypothesised relationships in the theoretical model, the partial least squares equation modelling was used.

The results of the study indicate that accessing brands’ mobile Facebook fan pages can satisfy the needs of understanding, orientation and play. These needs, in turn, influence users’ attitude, as well as their active and passive participation. Besides, users’ active participation in brands’ fan pages is enhanced by the direct and positive influence of attitude and passive participation.

This research enables brands to know which aspects to highlight in their communication strategies in order to increase the user’s active participation and generate m-WOM. Brands need to post information which is not only relevant, but also entertaining and visually attractive. Furthermore, they should foster the user-brand interaction to achieve users’ engagement with the brand.

The contribution of the present research is threefold. First, it offers a new perspective in explaining eWOM participation in mobile settings based on social networks. Second, it is argued that dependency is a key driver in explaining m-WOM. Lastly, integrating parasocial integration in the authors’ model highlights the communication nature of the word-of-mouth process.

Enterprise social media (ESM) platforms are rapidly diffusing in the business context because they can bring substantial benefits to companies by enhancing their knowledge management (KM) processes. However, such benefits materialize only if active employee participation is ensured. Therefore, it is crucial to understand how individual employees use an ESM platform to assist their knowledge-related activities. This paper contributes to this topic by proposing a classification of ESM users based on two dimensions: frequency and type (active or passive) of use.

The paper presents the results of a survey of 262 employees of an international engineering service company that has adopted an ESM platform to support its KM processes. Statistical methods (e.g. ANOVA, Tukey’s b) were applied to verify the usefulness of the proposed typology and identify the main aspects that characterize the different user groups.

The survey results confirm the existence of different types of ESM users and provide the empirical basis for developing a bi-dimensional classification from which four user groups were derived and characterized: frequent contributors, sporadic contributors, frequent lurkers and sporadic lurkers.

The main limitation is that only one company in one sector with specific knowledge needs and capabilities was investigated.

The study provides useful suggestions for how to promote the use of an ESM and particularly for how to encourage less frequent and less active users to increase their participation in a platform.

The paper contributes to a better understanding of how employees approach ESM by identifying factors that characterize different user groups.