Online Inf. Rev.最新文献

{"title":"Understanding physicians' motivations for community participation and content contribution in online health communities","authors":"Qin Chen, Jiahua Jin, Xiangbin Yan","doi":"10.1108/oir-11-2021-0615","DOIUrl":"https://doi.org/10.1108/oir-11-2021-0615","url":null,"abstract":"PurposeSince the success of online communities depend on physicians' participation, understanding factors that influence community participation and content contribution are critical for online health communities (OHCs). Drawing on the self-determination theory (SDT), an empirical model was proposed to explore the effects of social returns and economic returns on physicians' community participation, private content contribution and public content contribution, and the moderating effect of their online seniority. This paper aims to address these issues.Design/methodology/approachEmpirical data of 4,343 physicians were collected from a Chinese OHC, and ordinary least squares (OLS) and negative binomial regression models were employed to verify the proposed theoretical model.FindingsThe authors’ results indicate that both social and economic returns have a positive effect on physicians' community participation and private content contribution, and their online seniority strengthens the positive effects of economic returns on community participation and private content contribution.Originality/valueThe authors’ research extends physicians' community participation by dividing content contribution into private and public, and enhances our understanding of the determinants of physicians' participation in OHCs by exploring the effects of social and economic returns, as well as the moderating effect of online seniority. Their findings contribute to the literature on e-Health and user participation, and provide management implications for OHC managers.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-11-2021-0615/","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the relationships between MOOC consumers' perceived quality, emotional experiences, and intention to recommend: an NLP-based approach","authors":"Lan Ma, Saeed Pahlevan Sharif, Arghya Ray, Kok Wei Khong","doi":"10.1108/oir-09-2021-0482","DOIUrl":"https://doi.org/10.1108/oir-09-2021-0482","url":null,"abstract":"PurposeThe paper aims to explore and examine the factors that influence the post-consumption behavioral intentions of education consumers with the help of online reviews from a Massive Open Online Course (MOOC) platform in the knowledge payment context.Design/methodology/approachThe paper adopted a novel mixed-method approach based on natural language processing (NLP) techniques. Variables were identified using topic modeling drawing upon 14,585 online reviews from a global commercial MOOC platform (Udemy.com). The relationships among identified factors, such as perceived quality dimensions, consumption emotions, and intention to recommend, were then tested from a cognition-affect-behavior (CAB) perspective using partial least squares structural equation modeling (PLS-SEM).FindingsResults indicate that course content quality, instructor quality, and platform quality are strong predictors of consumers' emotions and intention to recommend. Interestingly, course content quality displays a positive effect on invoking negative emotions in the MOOC context. Additionally, positive emotions mediate the relationships between three perceived qualities and the intention to recommend.Originality/valueLimited research has been conducted regarding MOOC consumers' post-consumption intentions in the knowledge payment context. Findings of this study address the limited literature on MOOC qualities and consumer post-consumption behaviors, which contribute to a comprehensive understanding of MOOC learners' experiences at a meso-level for future paid-MOOC creators.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2021-0482/","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130776156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of the cybercrime awareness scale (CAS): a validity and reliability study in a Turkish sample","authors":"Ibrahim Arpaci, Ersin Ateş","doi":"10.1108/oir-01-2022-0023","DOIUrl":"https://doi.org/10.1108/oir-01-2022-0023","url":null,"abstract":"PurposeCybercrimes increase day by day in parallel to cyber-attacks and cyber-threats. Due to such an increase, required cybersecurity precautions against all kinds of cyber-attacks and cyber-threats should be taken by both organizations and individuals. This study aims to develop a reliable and valid measurement tool to measure cybercrime awareness levels of individuals.Design/methodology/approachIn this study, a scale named as Cybercrime Awareness Scale (CAS) has been developed and psychometric properties of the scale have been tested by two separate studies.FindingsThe first study included a total of 500 respondents (294 female and 206 male). In the first study, factor structure of the proposed scale has been determined through an exploratory factor analysis. The results revealed a three-factor structure (i.e. information systems crimes, personal data crimes, and privacy and security). Cronbach's alpha reliability coefficients for the subdimensions were 0.95, 0.92, and 0.90, respectively. The sample of the second study consisted of 494 respondents (281 female and 213 male). The confirmatory-factor-analysis results revealed that three-factor structure is valid and optimal model. Further, the proposed scale demonstrated moderate concurrent validity results in relation to the Digital Data Security Awareness Scale.Originality/valueFindings indicated that the CAS is a valid and reliable measurement tool to measure individuals' cybercrime awareness level. This study makes a novel contribution to the existing cybersecurity literature by providing the CAS, which is developed by following rigorous methodological standards.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0023/","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130597798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What news sparks interest on YouTube? A study of news content uploaded by India's top five Hindi news networks","authors":"M. Deori, Vinit Kumar, M. Verma","doi":"10.1108/oir-01-2022-0007","DOIUrl":"https://doi.org/10.1108/oir-01-2022-0007","url":null,"abstract":"PurposeThe consumption of news from social media is the new trend, still news channels are the authentic source to transmit relevant news to audiences. Social media has gradually left an impact on the audience but the news channels have upgraded and providing various news services online on social media websites. The present study aims to study the type of news videos uploaded by the top five Hindi TV news channels on their YouTube channels with an aim to see which type of videos spark interest for YouTube viewers.Design/methodology/approachBy applying the techniques of content analysis, sentiment analysis and text mining the study aims to measure the average sentiments, top words and the trend of selected popular terms in the comments on uploaded news videos by the top five Hindi news channels over a period of one year.FindingsResults of the study indicate that the news channels are uploading more news videos about crime and investigation, politics, health and protests while uploading fewer news videos covering travel, science and technology, and religion. While the viewers of the participating news channels are more interested in giving their thoughts or opinions in the form of comments on news videos concerning crime, politics, protests and health or that these videos inspire conversation on YouTube.Research limitations/implicationsThe findings might be of interest to content managers of news channels to understand the interest of their audience.Originality/valueThe study's distinctiveness resides in the approach utilised to collect data and analyse the results in order to better understand the online behaviour of news channel audiences.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0007","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying the characteristics of excellent peer reviewers by using Publons","authors":"Zhihong Huang, Qianjin Zong","doi":"10.1108/oir-11-2021-0604","DOIUrl":"https://doi.org/10.1108/oir-11-2021-0604","url":null,"abstract":"PurposeThis study aimed to identify the characteristics of excellent peer reviewers by using Publons.com (an open and free online peer review website).Design/methodology/approachReviewers of the clinical medicine field on Publons were selected as the sample (n = 1,864). A logistic regression model was employed to examine the data.FindingsThe results revealed that reviewers' verified reviews, verified editor records, and whether they were the Publons mentors had significant and positive associations with excellent peer reviewers, while their research performance (including the number of articles indexed by Web of Science (WOS), citations, H-index and high-cited researcher), genders, words per review, number of current/past editorial boards, whether they had experiences of post-publication review on Publons and whether they were Publons academy graduates had no significant associations with excellent peer reviewers.Originality/valueThis study could help journals find excellent peer reviewers from free and open online platforms.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0604.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information discernment and online reading behaviour: an experiment","authors":"Matthew Pointon, G. Walton, Martin J. Turner, Michael Lackenby, Jamie Barker, Andrew Wilkinson","doi":"10.1108/oir-02-2021-0101","DOIUrl":"https://doi.org/10.1108/oir-02-2021-0101","url":null,"abstract":"PurposeThis paper intends to explore the relationship between participants' eye fixations (a measure of attention) and durations (a measure of concentration) on areas of interest within a range of online articles and their levels of information discernment (a sub-process of information literacy characterising how participants make judgements about information).Design/methodology/approachEye-tracking equipment was used as a proxy measure for reading behaviour by recording eye-fixations, dwell times and regressions in males aged 18–24 (n = 48). Participants' level of information discernment was determined using a quantitative questionnaire.FindingsData indicates a relationship between participants' level of information discernment and their viewing behaviours within the articles' area of interest. Those who score highly on an information discernment questionnaire tended to interrogate the online article in a structured and linear way. Those with high-level information discernment are more likely to pay attention to an article's textual and graphical information than those exhibiting low-level information discernment. Conversely, participants with low-level information discernment indicated a lack of curiosity by not interrogating the entire article. They were unsystematic in their saccadic movements spending significantly longer viewing irrelevant areas.Social implicationsThe most profound consequence is that those with low-level information discernment, through a lack of curiosity in particular, could base their health, workplace, political or everyday decisions on sub-optimal engagement with and comprehension of information or misinformation (such as fake news).Originality/valueGround-breaking analysis of the relationship between a persons' self-reported level of information literacy (information discernment specifically) and objective measures of reading behaviour.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124919692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studying domain structure: a comparative analysis of bibliographic coupling analysis and co-citation analysis considering all authors","authors":"Yanhui Song, Lixin Lei, Lijuan Wu, Shiji Chen","doi":"10.1108/oir-12-2020-0540","DOIUrl":"https://doi.org/10.1108/oir-12-2020-0540","url":null,"abstract":"PurposeThis paper focuses on the differences in domain intellectual structure discovery between author bibliographic coupling analysis (ABCA) and author co-citation analysis (ACA) considering all authors. The purpose of this study is to examine whether and in what ways these two all-author network approaches yield different results.Design/methodology/approachThe sample was collected from the database of Web of Science, including all articles published in Scientometrics and Journal of Informetrics from 2011 to 2020. First, 100 representative authors were selected from each set, and ABCA matrices and ACA matrices were constructed. Second, factor analysis was carried out on the matrices, to detect the intellectual structure of scientometrics and informetrics.FindingsThe intellectual structures identified by ABCA and ACA are similar overall, but the results differ somewhat when it comes to specific structures. The ABCA is more sensitive to some highly collaborative research teams and presents a clearer picture of current intellectual structures and trends while ACA seems to have some advantages in representing the more traditional and proven research topics in the field. The combined use of ABCA and ACA allows for a more comprehensive and specific intellectual structure of research fields.Originality/valueThis paper compares the performance of ABCA and ACA detecting the intellectual structure of the domain from the perspective of all authors, revealing the intellectual structure of scientometrics and informetrics comprehensively.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0540.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132559279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social TV and audience engagement: investigating the relationship between Facebook engagement and TV performance of The Voice (USA)","authors":"H. Tsai, Hui-Fei Lin","doi":"10.1108/oir-06-2021-0293","DOIUrl":"https://doi.org/10.1108/oir-06-2021-0293","url":null,"abstract":"PurposeThis study aims to examine entertainment TV shows' social media accounts to theoretically and practically explore the relationship between social media engagement and the performance (represented by ratings) of such shows.Design/methodology/approachBy using the data of a popular TV show in the USA, The Voice, the present study examined the messages on the Facebook fan page of the show and how these messages correlated with the ratings of the show. Social media usage data in the course of three seasons (Seasons 10–12, 82 episodes in total) were collected from Facebook (N = 1,192,722 messages). Both regression and sentiment analysis were performed.FindingsOverall, the findings revealed positive relationships of TV show ratings with both passive social media engagement (Facebook likes) and the number of official posts. However, active social media engagement was not positively related to show ratings.Originality/valueBy enhancing understanding of audience engagement with social media, our research extends knowledge related to the nature and development of viewer involvement with entertainment across different media platforms. Our results also help clarify how interpersonal communication (social media comments) and mass communication (TV programs) intersect. Practically, the findings could be applied to improve the interaction of TV audiences with show content, provide insights into the future of social TV development and inform decision-making amongst TV industry professionals.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Essaying the design, development and validation processes of a new digital literacy scale","authors":"P. Reddy, K. Chaudhary, B. Sharma, Shamina Hussein","doi":"10.1108/oir-10-2021-0532","DOIUrl":"https://doi.org/10.1108/oir-10-2021-0532","url":null,"abstract":"PurposeThe emergence of new digital technologies in the 21st century has propelled individuals to use technology in their daily lives. Individuals now require a specific set of skills, competencies and knowledge to use these devices efficiently, intelligently yet with responsibility. The purpose of this research was to design, develop and validate a digital literacy scale (DLS) using the exploratory factor analysis (EFA).Design/methodology/approachA quantitative research methodology was used for this study, whereby a unipolar 5 point Likert scale self-report questionnaire was designed to measure the digital skills of the participants. Digital literacy was divided into an exhaustive and broad list of six modules-media literacy, information literacy, communication literacy, technology literacy, visual literacy and computer literacy. The questionnaire was administered to a sample of the 2,755 Year 12 and Year 13 students of randomly selected 33 secondary school students in Fiji. Sample adequacy of the sample was tested using the Kaiser-Meyer-Olkin test.FindingsThe EFA results prove the existence of the six modules of digital literacy that are being utilized in this research to design the DLS. The factor loadings or the correlation coefficients range from 0.3 to 0.8; therefore, all the 60 items were kept to design the DLS. The Cronbach Alpha value of 0.90 confirmed the internal consistency and reliability of the newly designed DLS.Research limitations/implicationsThe research limitation of the study was the sample size. A broader sample would have made the results better. Research implications are; there is no scale in the south Pacific to measure digital literacy. The newly designed and developed scale is the first one that can be used to measure the digital literacy of the south Pacific populace and bridge the gap of the digital divide.Practical implicationsThe developed and validated scale can be used to measure the digital literacy of individuals both in the south Pacific and beyond. The scale covers important aspects of the much needed 21st century skills. Once digital literacy is measured, relevant stakeholders can develop instruments to improve the digital literacy of individuals.Social implicationsThe DLS can prove to be an important tool for society. In the 21st century people are required to have digital literacy to survive and thrive. Thus this tool can be used to measure digital literacy and further improve the digital literacy of the people.Originality/valueThe framework has been adopted from the work of Covello (2010) however, the definitions of digital literacy and other literacies are modified to meet the requirements of the 21st century. The tool is unique in its nature in the south Pacific and beyond. Looking at the digital literacy tools in literature, this tool covers all the aspects of digital literacy in the 21st century.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-1","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115550636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brand post popularity on Facebook, Twitter, Instagram and LinkedIn: the case of start-ups","authors":"Sebastian Robson, Snehasish Banerjee","doi":"10.1108/oir-06-2021-0295","DOIUrl":"https://doi.org/10.1108/oir-06-2021-0295","url":null,"abstract":"PurposeWith the growing trend of omni-channel marketing, brands are increasingly looking to offer a seamless experience to their online fan base by connecting with them across multiple social media platforms. This paper explores the relationship between brand posts' characteristics and popularity for start-ups across four different social media platforms: Facebook, Twitter, Instagram and LinkedIn.Design/methodology/approachA total of 1,200 social media posts from 10 start-ups were subjected to content analysis. Regression analysis was employed with brand posts' popularity (likes, comments and shares/retweets) as the dependent variable.FindingsThe results reveal several nuances in brand post popularity for start-ups across Facebook, Twitter, Instagram and LinkedIn. Antecedents of the popularity measures of likes, comments and shares/retweets also fared differently.Originality/valueThe paper reports one of the earliest empirical studies to better understand how the qualities of brand posts are related to their appeal across multiple social media platforms. It advances the literature on social media marketing and offers insights to social media managers of brands, particularly start-ups, on how to offer smoother customer journeys across numerous digital touchpoints.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121606838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}