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This paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another?

Based on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from their ongoing participation behavior in the community using the Gaussian mixture model. Additionally, user feedback characteristics such as relevance and volume from 222,965 commenters who contributed 546,344 comments were analyzed using the multinomial logistic regression model to investigate the archetype change of influential users.

Findings suggest that influential users could be clustered into three distinctive archetypes: touch-and-go influential users, proactive influential users and super influential users. Moreover, feedback variables have various impacts on the influential user archetype change, including a shift toward creating higher-quality content and fostering increased interaction, a shift toward generating lower-quality content and decreased interaction but improved speed and having mixed effects due to differences in information processing among these archetypes.

This study expands the existing knowledge of influential users and proposes practical approaches to cultivate them further.

This study investigates how autonomous vehicle (AV)-related electronic word-of-mouth (eWOM) of different polarities affects attitude and perceived risk from the perspectives of both passengers and pedestrians and whether any gender differences exist. It also seeks to identify AV-adoption user archetypes.

An online experiment was conducted, manipulating eWOM polarity (positive, negative or mixed) as a between-participants factor.

While eWOM polarity did not affect attitude, perceived risk was the highest in the mixed eWOM condition. Males and females differed from each other in terms of attitude toward AVs from a passenger perspective, attitude toward AVs from a pedestrian perspective and perceived risk for passengers in AVs. Four AV-adoption user archetypes were identified: AV watchfuls, AV optimists, AV nonchalants and AV skeptics.

The paper contributes to the AV adoption literature by adding the effects of eWOM. It not only sheds light on how AV-related eWOM polarity affects attitude and perceived risk but also teases out nuances from the perspectives of passengers and pedestrians as a function of gender.

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

The purpose of this paper is to explore how small and medium-sized enterprises (SMEs) in China leverage their strengths to engage stakeholders in knowledge co-creation processes and get mutual benefit via knowledge-based view (KBV).

Based on KBV, the authors conduct a multiple-case study of five SMEs in China to embrace the knowledge co-creation practice using semi-structured interview, organizational documents and onsite observation.

This study highlights how SMEs leverage their strengths to engage stakeholder to co-create knowledge and practice for the better capturing and utilization of external and internal knowledge. The authors identify three processes of knowledge co-creation for SMEs based on knowledge sharing, knowledge integration and knowledge application in the B2B context. This study finds that SMEs engage their stakeholders in knowledge sharing by building and maintaining trust. The knowledge integration process was driven by the owner’s openness. Mutual learning facilitates the knowledge application process of SMEs.

This study relies on a limited number of case studies and considers only firms’ perspective to analyze the SMEs co-create knowledge with their stakeholders. Further studies could examine the challenge of knowledge co-creation in multiple stakeholders’ relationships in B2B contexts, i.e. in relation to product and service innovation with complexity and uncertainly.

Managers need to make choices when designing knowledge co-creation process in collaborative product development activities. The use of online and offline approaches can help balance requirements in terms of joint problem-solving across firms, the efficiency of knowledge co-creation and effective of knowledge leakage.

The conceptualization of knowledge co-creation as knowledge sharing and knowledge integration and knowledge application extends existing perspective on knowledge co-creation as either a transfer of knowledge or as revealing the novel situation of pertinent knowledge with entirely assimilate it. The findings point to the complexity of knowledge co-creation as a process influenced by stakeholder engagement, perspectives on knowledge, trust of multiple stakeholders, openness of firm boundaries and mutual learning of SMEs with their stakeholders.