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Drawing upon the theory of communication visibility, this research intends to investigate the direct effect of enterprise social media (ESM) usage on team members’ knowledge creation capability (KCC) and the mediating effects of psychological safety and team identification. In addition, it aims to untangle how the efficacy of ESM usage varies between pre- and post-COVID-19 periods.

Using two-wave survey data from 240 members nested within 60 teams, this study utilizes a multilevel approach to test the proposed hypotheses.

We discover that ESM usage enhances team members’ KCC. More importantly, the results show that psychological safety and team identification mediate the ESM–KCC linkage. Interestingly, we further find that the impacts of ESM usage on team members’ KCC, psychological safety, and team identification are stronger in the pre-COVID-19 period than those in the post-COVID-19 period.

This research sheds light on the ESM literature by unraveling the mechanisms of psychological safety and team identification underlying the linkage between ESM usage and team members’ KCC. Moreover, it advances our understanding of the differential efficacy of ESM usage in pre- and post-COVID-19 periods.

This research proposes and examines a theoretical model grounded in anthropomorphism theory considering the curvilinear and linear relationships between service robot anthropomorphism and consumer usage intention and explores the mediating effect of perceived risk.

To examine the developed model, two complementary studies are designed. In Study 1, multi-time data of 511 participants show that service robot anthropomorphism inverts U-shaped (curvilinear) relationship on consumer usage intention and perceived risk mediates this curvilinear relationship. In Study 2, multi-source data of 460 volunteers are used to confirm the findings of Study 1 and examine that consumer empathy moderates the complex nonlinear effect of service robot anthropomorphism on perceived risk, and the indirect curvilinear effect of service robot anthropomorphism on consumer usage intention through perceived risk.

This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.

This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.

Local events play a significant role in rebuilding relationships and increasing engagement with local communities in the postpandemic. This study aims to investigate how potential attendees’ usage of local event hashtags facilitates social media engagement, further enhancing their intentions to attend local events.

This study adopted an exploratory sequential mixed approach. The qualitative phase used 12 semistructured in-depth interviews to explore motivations for hashtag usage and developed instruments to measure hashtag usage and social media engagement. The quantitative phase examined the relationship among motivations and behaviors of hashtag usage, social media engagement and behavioral intention through 522 online surveys.

Qualitatively, four themes manifest in hashtag users’ motivations in the context of local events: self-promoting, searching, summarizing and conforming. The quantitative findings show that these motivations influence active and passive hashtag usage differently, leading to different types of social media engagement (i.e. persistent, customized and triggered engagement). All social media engagements can significantly enhance the intention to attend local events.

This study divides active and passive hashtag users, conceptualizes social media engagement through hashtag usage under the affordance approach and develops instruments for these concepts. It emphasizes the importance of hashtag usage that drives social media engagement and provides insights for local event planners.

在后疫情时期, 本地活动在重建关系和增加与当地社区的参与方面发挥着重要作用。本研究调查了潜在参与者对当地活动话题标签的使用如何促进社交媒体的参与, 进一步增强了他们参加当地活动的意愿。

本研究采用了一种探索性的顺序混合方法。定性阶段采用了12次半结构化的深度访谈, 以探讨话题标签使用的动机, 并开发了用于测量话题标签使用和社交媒体参与的量表。定量阶段通过522份在线调查研究了动机与话题标签使用、社交媒体参与和行为意向之间的关系。

在定性研究中, 话题标签用户的动机在当地活动背景下表现为四个主题：自我推广、搜索、总结和顺应。定量研究结果显示, 这些动机以不同方式影响主动和被动话题标签使用, 从而导致不同类型的社交媒体参与（即持续型、定制型和触发型参与）。所有社交媒体参与都能显著增强参加当地活动的意愿。

本研究区分了主动和被动话题标签用户, 通过能力方法构想了话题标签使用下的社交媒体参与, 并为这些概念开发了测量工具。本研究强调了推动社交媒体参与的话题标签使用的重要性, 并为当地活动策划者提供了见解。

There is a contradictive debate on factors influencing mobile phone usage awareness among scholars. This study aims to examine factors influencing mobile phone usage awareness for accessing agricultural marketing information.

A descriptive cross-sectional research design was used with 400 smallholder grape farmers. The use of structured questionnaires, focus group discussions and key informant interviews helped to collect primary data. Data analysis was subjected to descriptive, ordinal logistic regression and thematic approaches.

This study found that farmers were mostly aware of voice calls helping to access buyers and price information. Education, age and sex were the critical factors influencing mobile phone usage awareness among grape smallholder farmers.

This study contributes to scientific knowledge by providing an understanding of the perceived factors on mobile phone usage awareness within the grape subsector to inform policymakers.

This study explores whether and how Internet usage improves the subjective health of middle-aged and older adults by analyzing the mediating role of social engagement and heterogeneity of different living arrangements.

Based on data from the China Health and Retirement Longitudinal Study, the ordinary least squares (OLS) method is adopted to explore the relationship between Internet usage and the subjective health of middle-aged and older adults. Propensity score matching method (PSM) is used to alleviate self-selection bias in the samples. The bootstrap method is adopted to test the mediating role of social engagement, and generalized structural equation modeling (GSEM) is employed to resolve endogeneity. A permutation test is adopted to examine the heterogeneous effects of Internet usage on different living arrangements.

Internet access can help relieve depression among middle-aged and older adults and enhance their self-rated health, leading to perceived changes in health status. However, Internet usage is not directly associated with health satisfaction among middle-aged and older adults. Nevertheless, Internet usage can enhance middle-aged and older adults' subjective health by facilitating social engagement and significantly influences middle-aged and older adults living with their children.

This study reveals the underlying role of Internet usage among older adults and provides insights for governments and families to help middle-aged and older adults actively adapt to a digital society and improve their health.

A consumer's post‐purchase product usage behaviour influences future decision making. Particularly, for fashion products, in which usage behaviour is highly observable, impacts of usage behaviour on future purchases and other consumers are more conspicuous. This study investigated usage behaviour for clothing fashion products. Behavioural aspects (use frequency and use variety) of usage behaviour were considered with psychological aspects (use satisfaction). The study focused on the differences in usage behaviour (use frequency, use variety and use satisfaction) by product types (fashionability and classification). Data was collected from a questionnaire survey. The results revealed that product types affected the post‐purchase usage behaviour of fashion products. There were significant differences in the use frequency by the product classification, in the use variety by the product fashionability and in the use satisfaction by the product classification and fashionability. Further, significant differences by product types were discussed.

This paper aims to provide an assessment of an ebook collection in an academic library, and attempts to locate usage trends by subject and publisher.

The research was based on: three years of usage data from two e‐book packages: NetLibrary and Ebrary; two methods of purchase: NetLibrary was a one‐time purchase; Ebrary is purchased on a subscription basis. The research evaluated usage difference over time between the two packages and analyzed subject and publisher usage.

The research found that Ebrary showed increased usage over time; NetLibrary demonstrated decreased usage; subject analysis showed ebooks in health sciences and hotel had highest usage; publisher analysis results illustrated the fact that five publishers had highest usage in both ebook collections.

For circulation rate of each ebook package, two years of data were not available for Ebrary, resulting in incomplete comparison over three‐year period between the two packages.

The paper assists in identifying usage patterns of ebooks across publishers and subjects; compares two different business models of obtaining ebooks; and helps with effective selection of ebooks to support teaching and learning.

Usage data over three years provided evidence to help libraries select a business model for acquiring ebooks; the research provides assessment of ebook collections to identify trends across publishers and subjects.

This paper aims to overview the development of a user and usage database, including multiple datasets that were combined to achieve multi‐faceted analysis of users and their usage of the Florida Electronic Library (a statewide, licensed database).

Because of the differences in the purposes and activities among the project's five phases, the research team employed a multi‐method approach to data collection, including content analysis of datasets, usability and functionality assessments of the beta database, and cross‐tab and descriptive statistical analyses of datasets in the final database.

Researchers found first that, although numerous potential datasets existed, not all could be collated into one interactive database due to variations in measurement levels, currency, and other factors. Ultimately, the database included usage and Census data, allowing the researchers to assess usage per capita and in the context of counties' demographic profiles. The research finds that creation of a multi‐dataset database can be complicated but is useful for developing data‐driving marketing recommendations.

Compiling various datasets describing users and usage of a consortial licensed database into one interactive database facilitates cross‐tabulation and comparison. This project will enhance digital library research, evaluation, and marketing by serving as an example of how to identify appropriate datasets for cross‐tabulation, develop a database that allows interactive searching, use the database to develop targeted marketing campaigns, and better describe impacts and value of these datasets.

The purpose of this paper is to describe a project undertaken at SUNY Cortland to develop a system that would collect electronic resource usage data in a consistent manner and allow SUNY Cortland to assess this data over several years.

The project used data gathered from EZProxy server log files to examine usage of the library's electronic resources.

Through examining the usage data the library discovered that users were utilizing particular types of resources, from specific physical locations, and accessing those resources from specific pages in the library's web site.

By examining usage data for electronic resources, libraries can learn more than which resources are being used. Usage data can give libraries insight into where, when, how, and possibly why their users are accessing electronic resources.

Organizations have widely adopted enterprise social media (ESM) to improve employees' creativity. This study applies self-regulation theory to explore the role of feedback seeking in mediating the effects of work-oriented and social-oriented ESM usage on employee creativity.

A questionnaire was conducted on 219 working professionals in China – professionals that use ESM in respective organizations.

Results show that both work-oriented and social-oriented ESM usage are positively associated with employee feedback inquiry and, subsequently, increased employee creativity. The findings also suggest that social-oriented ESM usage is positively related to employee monitoring, whereas employee feedback monitoring is not related to employee creativity.

Practitioners and/or managers need to pay greater attention to the impact of work-oriented and social-oriented ESM usage on employee feedback seeking strategies and creativity. The low response rate is one of the limitations in this study, although the results of the test suggest that non-response bias is not a critical issue in this study.

This study contributes to the knowledge of feedback inquiry in explaining the effect of work-oriented and social-oriented ESM usage on employee creativity. The current study helps to extend the intervening mechanism in the relationship between ESM usage and employee creativity.