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The purpose of this study is to examine the impact of social media affordances, specifically social engagement and social endorsement, on knowledge contribution in online Q&A communities. Building on self-determination theory, this research seeks to tackle the issue of under-provision of knowledge in these communities.

The study employs a sample collected from a popular social Q&A community in China and uses linear panel data models along with multiple robustness checks to test the research model.

The findings reveal that both social engagement and social endorsement have a positive effect on users' knowledge contribution to the online Q&A community. However, the impact of social engagement is mitigated by social endorsement.

This paper makes a valuable contribution to the field by filling the research gap on the role of social engagement behaviors and their interaction with social endorsement in online Q&A communities. The results provide insights into how social media affordances can be leveraged to enhance knowledge contribution in these communities.

The purpose of this review is to provide a conceptual framework of consumer engagement behavior in the value co-creation process of healthcare services, and further understand the current knowledge maps and advances.

Specifically, the scoping review methodology is used to synthesize the extant findings. The authors first develop the inclusion/exclusion criteria to evaluate the source material for the review; then, the authors further conduct the literature refinement to select the final data sample. As such, the authors extract and analyze the information derived from these articles.

The authors found most related studies focus on exploring patients' engagement behavior in the value co-creation process, especially those with chronic disease; the findings also reveal that consumers are most likely to engage in the value co-creation process of healthcare services by seeking or sharing health information; also, consumers engagement behavior is mainly driven by individual, interactive, and technological factors; moreover, consumer engagement in the value co-creation of healthcare services are more likely to achieve positive health and behavioral outcomes.

The role of consumers has gradually shifted from that of passive recipients to that of active participants in the healthcare value co-creation process. Consumer engagement behavior is the key premise for the realization of healthcare value co-creation, and it has received increasing attention both academically and practically. By unearthing the conceptual framework of consumer engagement behavior in the value co-creation process of healthcare services, this study provides a systematic understanding and serves as a useful resource for future research and practice.

The purpose of this paper is to explore the professional opinion of LIS with reference to open source software (OSS) adoption, status, problems and future measures in research and academic libraries of Beijing, China.

Data were collected using a structured questionnaire, and semi-structured in-depth interviews were conducted among 20 academic and 20 research libraries in Beijing, China. The convenient sampling technique was used to collect data. The data collected were interpreted using descriptive statistics and independent t-test.

The results reveal that Chinese research and academics libraries depend mostly upon commercial software and place a great deal of trust on locally produced free software. This situation may be caused due to the lack of professional knowledge in OSS and lack of appropriate technical expertise. Although there were a sufficient number of librarians who have shown interest in OSS, they did not enthusiastically agree to implement it in their libraries. Furthermore, the interviews highlighted the professionals’ opinion that most librarians are reluctant to adopt OSS due to the risk factor, lack of professional expertise, insufficient interest of the Chinese Government and lack of professional training.

The findings are useful for the Chinese LIS community, software developers, technology administrators and library administrators. In particular, it is beneficial for research and academic libraries of China to adapt OSS for library management and provide better library services and sources to their library users.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

People usually try to avoid uncertainty. Recently, however, uncertainty has become an emerging marketing tool in the hedonic product industry. In the case of blind box consumption, for example, the consumers become addicted to the uncertainty created by businesses, leading to repeat purchases and even indulgences. Previous research has, yet, to focus on the impact of uncertainty on indulgence and the role of emotions.

This paper constructs and validates a chain mediation model of uncertainty triggering indulgent consumption based on the information gap theory, positive emotion theory and uncertainty resolution theory and examines the difference between resolved and unresolved uncertainty. This study also explores differences in the impact of whether uncertainty is resolved on emotions. The uncertainty-resolved group elicited a more positive emotional response than the uncertainty-unresolved group, leading to a more indulgent consumption.

The results of three studies show that uncertainty influences indulgent consumption through curiosity and positive emotion, and that curiosity and positive emotion play separate and chain mediating roles between uncertainty and indulgent consumption, respectively. We validate our central hypothesis with questionnaires among blind box consumer groups, examining the moderating role of perceived luck and risk preferences.

The findings shed new light on firms' use of uncertainty to promote consumer purchases.