Social media is closely integrated into our daily life and wellbeing in today's digital era, making it crucial to understand social media impacts on individuals' digital wellbeing. This study examined how social media usage (SMU) affects individuals' digital well-being. We developed a research model to examine the effects of four features of social media ubiquity (continuity, searchability, immediacy and portability) on both broad and deep socialization-based social media usage (SMU), which further affects individuals' digital well-being. We collected data from 600 employees in a two-wave survey setting to test this model. We found that continuity and searchability positively influenced both broad and deep socialization-based SMU. Immediacy was shown to positively affect deep SMU, while portability enhances broad SMU. Broad socialization-based SMU had a positive impact on digital well-being, but deep socialization-based usage did not. These findings highlight the distinct roles that different features of social media ubiquity play in shaping social media usage and well-being. This research contributes to the theoretical understanding of social media ubiquity and its nuanced effects on digital well-being. Furthermore, it offers practical insights for designing social media platforms that promote well-being outcomes.

Leveraging the conservation of resources theory, this study investigates the influence of non-hedonic social media (SM) uses, namely broad socialization, deep communication, information retrieval, and information sharing, on forming knowledge-working professionals’ depression through SM overload and strain. The analysis of a two-wave data collection with 440 participants suggests that broad socialization and information sharing have both positive and negative effects indirectly on depression. In contrast, deep communication and information retrieval are beneficial in reducing depression. Our study contributes to the existing literature by exploring the distinct effects of the four non-hedonic social media use on depression.

This study aims to investigate how to leverage knowledge sharing (KS) to boost team creativity among information technology (IT) professionals. We examine the effects of intrinsic and intangible extrinsic rewards on in-role and extra-role KS, which increases team creativity. We use data collected from 322 employees in 80 teams from organizations in the IT industry to test the research model and confirm the important roles of KS and motivational rewards. The two types of KS show different patterns in terms of their antecedents and outcomes. Specifically, in-role KS does not affect team creativity directly, while extra-role KS does. Intrinsic rewards significantly affect both in-role and extra-role KS, and the effect on the latter is greater. Image rewards have a greater effect on in-role KS than on extra-role KS. In addition, the two forms of intangible extrinsic rewards exhibit internalization. The study pioneers in addressing a pressing research gap by investigating and comparing the effects of the two types of KS—in-role and extra-role KS—on team creativity.

Exaggeration is a specific way in which companies potentially overstate certain aspects of their actual environmental performance, strategically disclosing positive information about their environmental performance. This research aims to identify instances of exaggerated information within environmental, social, and governance (ESG) reports by employing machine learning techniques. We crawled 594 ESG reports and employed a variety of machine learning algorithms to identify instances of exaggeration. Through the cross-validation, we found that random forest exhibits the best performance in predicting exaggeration and ridge regression demonstrates superior performance in predicting the exaggeration scores. A significant contribution of our study is the development of an exaggerated thesaurus tailored specifically to this domain. Ultimately, our study lays a foundation for further investigations into addressing the impact of exaggerated information in ESG reporting.

With the development of big data analytics, consumers' online reviews are becoming increasingly useful for product innovation with hidden innovative ideas that can be extracted. However, these ideas may be only hidden in a small part of the massive reviews. This study aims to investigate the potential of using anomaly detection technology to identify unique reviews for more effective innovation generation. Three classical anomaly detection approaches (including both machine and deep learning) were explored, namely, isolation forest, density-based cluster analysis, and autoencoder methods. Using the consumer reviews on Dyson Vacuum cleaner from Xiaohongshu (one of the most popular social media platforms in China), we tested and compared the application of these three approaches in detecting innovation-relevant reviews. The results indicate that the two machine learning approaches, aka., density-based cluster analysis and isolation forest are too sensitive to the length of the reviews. The deep learning method, autoencoder, on the contrary, shows good stability and capability to detect the unique reviews from the whole dataset. Furthermore, the experts’ rating also confirms the effectiveness of autoencoder in identifying innovation-relevant reviews. Future studies and implications are then discussed.

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09–48.06%) and 36.2% (95%CI = 35.35–37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31–8.37%). The key central nodes included “Distress caused by the sleep difficulties” (ISI7) (EI = 1.34), “Interference with daytime functioning” (ISI5) (EI = 1.08), and “Sleep dissatisfaction” (ISI4) (EI = 0.74). “Fatigue” (PHQ4) (Bridge EI = 1.98), “Distress caused by sleep difficulties” (ISI7) (Bridge EI = 1.71), and “Motor Disturbances” (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of “Suicidality” (SU) and “Guilt” (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by “Suicidality” (SU) - “Sad mood” (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

OBJECTIVES:The Coronavirus Disease 2019 (COVID-19) pandemic and the containment measures for COVID-19 have affected sleep quality in the population. This study explored sleep-related research from a bibliometric perspective to provide an overview of the research outputs in this field.METHODS:Original and review articles were retrieved from the Web of Science Core Collection (WOSCC) database from December 2019 to 7 Aug 2023. R package "bibliometrix" was used to summarize the number of articles of authors, institutions, and countries; count the citations of the articles, and generate a Three-Fields Plot. VOSviewer software was applied to visualize the collaboration network among authors and institutions, and to conduct a co-occurrence analysis of keywords.RESULTS:A total of 4,499 articles on COVID-19 and sleep, and 25,883 articles on non-COVID-19 and sleep were included. Sleep related articles were mainly published by authors from China, the USA, and Italy. For COVID-19 and sleep research, Huazhong University of Science was the most productive institution. The Psychiatry Research was the most influential journal across the different subject categories of this field. "Mental health", "anxiety", and "depression" were the most common keywords, while "sleep quality" and "quality of life" were the likely topic areas in terms of future research directions.CONCLUSIONS:Our findings provide a comprehensive perspective for researchers to understand the wider landscape of both COVID-19 and non-COVID-19 sleep-related research area.

Purpose This study aims to examine the mechanisms underlying social media commerce by investigating the interplay between platforms, people and information. Drawing upon trust transfer theory, the research model proposes that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing, ultimately influencing purchase intention. Design/methodology/approach The research design used in this study was a quantitative approach using a cross-sectional survey method. The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses. Findings The findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention. Research limitations/implications The limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field. Practical implications The findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape. Social implications The social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. These insights provide valuable guidance for practitioners to navigate the competitive landscape of social media commerce and enhance their chances of success. Originality/value The originality of this research lies in its application of trust transfer theory to investigate the mechanisms driving social media commerce. By examining the interplay between platform, people and information, the study specifically focuses on the role of the platform’s information provision in enhancing information credibility and its impact on information-related responses and purchase intentions. This study extends the understanding of the trust transfer mechanism between customers and sellers/brands in customer-to-customer social commerce by emphasizing the importance of effective messaging and information credibility in shaping consumer behavior. The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.

OBJECTIVE:Accumulating evidence indicates that oxidative stress and the disruption of antioxidant defenses play an important role in the neurobiology of bipolar disorder (BD). Studies have found that increased oxidative stress may be associated with cell apoptosis and neuronal damage in BD patients. Hence, this study explored the research field related to BD and oxidative stress from a bibliometrics perspective. METHODS:Literature search and relevant data retrieval based on the Web of Sciences Core Collection (WoSCC). R software (version 4.2.2), VOSviewer software (version 1.6.18), and CiteSpace (version 6.1.6) were used in this bibliometric analysis. RESULTS:A total of 2081 publications related to BD and oxidative stress were published between 1986 and 2024. Bipolar Disorders was the journal that had the most publications in this area (72; 3.46%; IF = 5.9), while the United States (1285; 61.7%) and the University of Toronto (377; 18.1%) were the most productive country and institution, respectively. Apart from "oxidative stress" and "bipolar disorder," the most frequently used keywords were "schizophrenia," "prefrontal cortex," and "nitric oxide." CONCLUSIONS:The growing number of publications related to BD and oxidative stress in recent years highlights the importance of this research field. Hot topics in research related to BD and oxidative stress included animal experiments and molecular mechanisms, psychiatric-related inflammation and biomarkers, neurodegenerative diseases, and metabolism. Furthermore, the biological mechanisms of BD, particularly biomarkers and inflammation, may be the emerging research priority area in the future.

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI

Background: The ubiquity of personal social media (PSM) enables individuals to access vast amounts of information, including work-related information, regardless of time and geographic limitation. It provides individuals with the autonomy to allocate their work schedule, especially a ccomplishing work tasks after official hours. We call this phenomenon "PSM-enabled overtime work" (PSMOW). However, considering the multi-dimensional nature of PSM ubiquity-immediacy, continuity, portability, and searchability-limited knowledge has been documented on how these dimensions contribute to individuals' PSMOW distinctly. In addition, the influence of PSMOW on individuals' job performance is unclear, due to the existence of both potential benefits and challenges. Therefore, this study is to investigate how various dimensions of PSM ubiquity influence individuals' PSMOW and job performance. In addition, this study examines the moderating role of multitasking capability. Method: Drawing on information technology affordance theory and affective event theory, this study proposes a conceptual model and tests it with data collected from a three-wave survey of 600 employees. PLS-SEM is used to examine the hypotheses. Results: The results show the distinct effects of the four dimensions of PSM ubiquity in that the immediacy and searchability of PSM contribute to PSMOW, whereas continuity and portability do not. Additionally, PSMOW increases emotional exhaustion and worsens job performance; however, employees with high multitasking experience less emotional exhaustion caused by PSMOW. Conclusion: The findings complement the existing literature on PSM ubiquity by exploring the influence of dimensions of PSM ubiquity on individuals' job performance through the induction of PSMOW and emotional exhaustion. Additionally, the study adds to the literature by discovering that multitasking capability can alleviate employees' emotional exhaustion resulting from PSMOW. Moreover, our study offers implications for PSM developers to design more control functions and for managers to adjust their managerial style towards PSM-enabled work-related tasks after office hours, especially for Asia Pacific region.

Live streaming is attracting a growing audience and is becoming an integral part of people's lives.The literature on live streaming commerce has seen a surge in studies since the phenomenon emerged in the past few years.This study systematically reviews existing literature on live streaming commerce from the perspective of consumer behavior.Thirty-five papers published between 2015 and 2022 are analyzed to uncover the factors influencing consumer decisions and engagement with live streaming for shopping.The key factors are categorized as internal (consumer characteristics and psychology) and external (platform, product, streamer, social).Key findings suggest that live streamer credibility and interaction play a significant role in building consumer trust and influencing purchase intentions.Additionally, self-congruity with the streamer enhances engagement.The study identifies research gaps related to the impact of real-time interactivity, streamer-viewer relationships, and cultural contexts.It offers insights into consumer behavior theories and strategies for designing engaging live shopping experiences.

Post-infection sequelae of COVID-19 (PISC) have raised public health concerns. However, it is not clear whether infected mental health professionals (MHPs) with PISC have experienced more psychiatric symptoms than MHPs without PISC do. This study examined differences in the prevalence of self-reported depression, anxiety, insomnia and suicidality as well as the network structures of these symptoms between these two groups. Participants completed questionnaire measures of psychiatric symptoms and demographics. Expected influence was used to measure centrality of symptoms and network comparison tests were adopted to compare differences in the two network models. The sample comprised 2,596 participants without PISC and 2,573 matched participants with PISC. MHPs with PISC had comparatively higher symptom levels related to depression (55.2% vs. 23.5 %), anxiety (32.0% vs. 14.9 %), insomnia (43.3% vs. 17.3 %), and suicidality (9.6% vs. 5.3 %). PHQ4 ("Fatigue"), PHQ6 ("Guilt"), and GAD2 ("Uncontrollable Worrying") were the most central symptoms in the "without PISC" network model. Conversely, GAD3 ("Worry too much"), GAD5 ("Restlessness"), and GAD4 ("Trouble relaxing") were more central in the "with PISC" network model. In sum, MHPs with PISC experienced comparatively more psychiatric symptoms and related disturbances. Network results provide foundations for the expectation that MHPs with PISC may benefit from interventions that address anxiety-related symptoms, while those without PISC may benefit from interventions targeting depression-related symptoms.

This study aims to examine which streamer attributes enhance consumer trust and thus increase purchase intention. Regarding signalling theory, each attribute conveys specific signals to consumers. Results obtained from a survey of 453 respondents for live e-commerce in Hong Kong and analysed with a structural equation model indicate that attractiveness, parasocial interaction and responsiveness have significant positive relationships and are fully mediated by trust, whereas trust has a significant positive relationship with purchase intention. However, creativity is neither related nor mediated with trust but has a positive direct relationship with purchase intention. This research contributes to live-streaming e-commerce literature to provide further understanding of the impacts of different streamer attributes on trust and purchase intention. It also provides significant implications for marketers to review current live e-commerce strategies and adopt improved strategies for selecting and cooperating with streamers.

Background Schizophrenia (SCZ) is a severe psychiatric disorder that involves inflammatory processes. The aim of this study was to explore the field of inflammation-related research in SCZ from a bibliometric perspective. Methods Regular and review articles on SCZ- and inflammation-related research were obtained from the Web of Science Core Collection (WOSCC) database from its inception to February 19, 2022. R package “bibliometrix” was used to summarize the main findings, count the occurrences of the top keywords, visualize the collaboration network between countries, and generate a three-field plot. VOSviewer software was applied to conduct both co-authorship and co-occurrence analyses. CiteSpace was used to identify the top references and keywords with the strongest citation burst. Results A total of 3,596 publications on SCZ and inflammation were included. Publications were mainly from the USA, China, and Germany. The highest number of publications was found in a list of relevant journals. Apart from “schizophrenia” and “inflammatory”, the terms “bipolar disorder,” “brain,” and “meta-analysis” were also the most frequently used keywords. Conclusions This bibliometric study mapped out a fundamental knowledge structure consisting of countries, institutions, authors, journals, and articles in the research field of SCZ and inflammation over the past 30 years. The results provide a comprehensive perspective about the wider landscape of this research area.

Background: Despite widely implemented, enterprise systems remain an unsettled role in organizational innovation. This study purposes to address the effects of enterprise systems (ES) on firm innovation by adopting resource-based theory and capability building theory to focus on ES-enabled competence, rather than ES investment or implementation. ES-enabled competence is proposed to mediate the effect of ES integration on innovation performance. We further propose that continuous improvement moderates (1) the relationship between ES integration and ES-enabled competence, and (2) the relationship between ES-enabled competence and innovation performance. By examining these effects, we aim to discover how ES enables innovation at operational and strategic levels separately. Method: A survey method is conducted to explore the relationship between enterprise systems (ES) and innovation. Data are collected from manufacturing companies in 10 countries of three regions, i.e., Europe, Asia-Pacific, and the USA, and analyzed by using structural equation modeling technique. Results: We confirm the roles of enterprise systems as a resource and a capability and the effects of these roles on innovation—including the operational outcome, new product development performance, and the strategic one, innovation uniqueness. We demonstrate that continuous improvement moderates the mediation paths, namely “ES integration – ES-enabled competence – innovation performance”. The moderated mediation effect exists among continuous improvement, ES integration, ES-enabled competence, and innovation uniqueness. Conclusion: This study contributes to the ES and innovation research by uncovering the micro-foundation underlying ES-enabled innovation from a capability-based framework and elaborating the moderating role of continuous improvement in enhancing innovation.

Purpose This study aims to examine how job satisfaction (JS) affects two types of knowledge sharing (KS), in-role KS and extra-role KS. It also investigates the mediating effect of knowledge sharing self-efficacy (KSSE) and the moderating effect of team collaborative culture (TCC) between JS and two types of KS. Design/methodology/approach This study applies attribution theory to develop a cross-level model and validate it through paired data collected from 322 information technology professionals nested within 80 teams. Hierarchical linear modeling is used to test the hypotheses. Findings JS positively influences in-role and extra-role KS via KSSE and TCC positively moderates the relationship between JS and extra-role KS. Originality/value This study is one of the first to investigate the mechanism underlying the influence of JS on two types of KS. It also identifies the mediating and moderating effects of this mechanism.

Purpose This study aims to investigate the impact of cross-functional coordination (cross-functional system, process and team coordination) on customer coordination (customer strategic and operational coordination) and operational performance. Following the lens of information processing theory (IPT), this study examines the diverse mechanisms of cross-functional coordination practices in enhancing firms’ information processing capabilities (IPCs) to cope with the higher information processing demands resulting from customer coordination, finally improving operational performance. Design/methodology/approach Based on data collected from 410 Chinese manufacturers, the authors use the structural equation modeling method to test the theoretical model. Findings The authors found that cross-functional system coordination is positively associated with customer operational coordination (COC) but not customer strategic coordination (CSC). Cross-functional process coordination increases both customer strategic and operational coordination. Cross-functional team coordination significantly promotes CSC but not COC. Both customer operational and strategic coordination facilitate operational performance. Originality/value This research pioneers in identifying three dimensions of cross-functional coordination based on IPT and examine their distinct impacts on various customer coordination activities. The authors distinguish two customer coordination dimensions and reveal their effects on operational performance. This research contributes to the development of IPT. Additionally, this study provides guidelines for managers to coordinate internal departments and collaborate with external customers to enhance firms’ operational performance.

Background: Suicidality is common in major depressive disorder (MDD), but there has been no systematic review published about all aspects of suicidality. This meta-analysis and systematic review compared the prevalence of the whole range of suicidality comprising suicidal ideation (SI), suicide plan (SP), suicide attempt (SA), and completed suicide (CS), between patients with MDD and non-MDD controls. Methods: Major international (PubMed, PsycINFO, Web of Science, EMBASE) and Chinese (Chinese Nation Knowledge Infrastructure and WANFANG) databases were systematically and independently searched from their inception until January 12, 2021. Results: Fifteen studies covering 85,768 patients (12,668 in the MDD group and 73,100 in the non-MDD group) were included in the analyses. Compared to non-MDD controls, the odds ratios (ORs) for lifetime, past month, past year, and 2-week prevalence of SI in MDD were 2.88 [95% confidence interval (CI) = 0.30–27.22, p = 0.36], 49.88 (95% CI = 2–8.63, p < 0.001), 13.97 (95% CI = 12.67–15.41, p < 0.001), and 24.81 (95% CI = 15.70–39.22, p < 0.001), respectively. Compared to non-MDD controls, the OR for lifetime SP in MDD was 9.51 (95% CI = 7.62–11.88, p < 0.001). Compared to non-MDD controls, the ORs of lifetime and past-year prevalence of SA were 3.45 (95% CI = 1.58–7.52, p = 0.002), and 7.34 (95% CI = 2.14–25.16, p = 0.002), respectively, in MDD patients. No difference in the prevalence of CS between MDD and controls was found (OR = 0.69, 95% CI = 0.23–2.02, p = 0.50). Conclusions: MDD patients are at a higher risk of suicidality, compared to non-MDD controls. Routine screening for a range of suicidality should be included in the management of MDD, followed by timely treatment for suicidal patients. Systematic Review Registration: Identifier [INPLASY202120078].