Fengwen Zhi, Mengtao Zhang, Shuaijie Zhang, Congyuan Cheng, Tao Shen
Purpose This study aims to reveal the factors that drive researchers to share data and to provide reference for promoting open scientific data. Design/methodology/approach Based on the theory of social capital and the theory of planned behaviour, hypotheses were proposed and the model was developed. The authors acquired 479 valid samples of Chinese researchers through questionnaires and conducted an empirical analysis via AMOS 23.0. Findings Attitudes towards data sharing are significantly and positively correlated with trust, reciprocity and social interaction, but not with a shared vision; willingness to share data is significantly and positively correlated with attitudes and perceived behavioural control, but not with subjective norms; furthermore, data quality, which performed the function of a moderating variable, was found to play a facilitating role in the above correlations. Based on the findings, suggestions for relevant entities were specified. Originality/value The study developed and validated an integrated theoretical framework, clarified the mechanism by which social capital and planned behaviour affect willingness to share data, hoping to provide reference and empirical support for subsequent studies as well as new ideas for data management and sharing.
{"title":"Can social capital and planned behaviour favour an increased willingness to share scientific data? Evidence from data originators","authors":"Fengwen Zhi, Mengtao Zhang, Shuaijie Zhang, Congyuan Cheng, Tao Shen","doi":"10.1108/el-01-2023-0005","DOIUrl":"https://doi.org/10.1108/el-01-2023-0005","url":null,"abstract":"\u0000Purpose\u0000This study aims to reveal the factors that drive researchers to share data and to provide reference for promoting open scientific data.\u0000\u0000\u0000Design/methodology/approach\u0000Based on the theory of social capital and the theory of planned behaviour, hypotheses were proposed and the model was developed. The authors acquired 479 valid samples of Chinese researchers through questionnaires and conducted an empirical analysis via AMOS 23.0.\u0000\u0000\u0000Findings\u0000Attitudes towards data sharing are significantly and positively correlated with trust, reciprocity and social interaction, but not with a shared vision; willingness to share data is significantly and positively correlated with attitudes and perceived behavioural control, but not with subjective norms; furthermore, data quality, which performed the function of a moderating variable, was found to play a facilitating role in the above correlations. Based on the findings, suggestions for relevant entities were specified.\u0000\u0000\u0000Originality/value\u0000The study developed and validated an integrated theoretical framework, clarified the mechanism by which social capital and planned behaviour affect willingness to share data, hoping to provide reference and empirical support for subsequent studies as well as new ideas for data management and sharing.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128044270","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}
Purpose This paper aims to conduct a comprehensive analysis to evaluate the current situation of journals, examine the factors that influence their development, and establish an evaluation index system and model. The objective is to enhance the theory and methodologies used for journal evaluation and provide guidance for their positive development. Design/methodology/approach This study uses empirical data from economics journals to analyse their evaluation dimensions, methods, index system and evaluation framework. This study then assigns weights to journal data using single and combined evaluations in three dimensions: influence, communication and novelty. It calculates several evaluation metrics, including the explanation rate, information entropy value, difference coefficient and novelty degree. Finally, this study applies the concept of fuzzy mathematics to measure the final results. Findings The use of affiliation degree and fuzzy Borda number can synthesize ranking and score differences among evaluation methods. It combines internal objective information and improves model accuracy. The novelty of journal topics positively correlates with both the journal impact factor and social media mentions. In addition, journal communication power indicators compensate for the shortcomings of traditional citation analysis. Finally, the three-dimensional representative evaluation index serves as a reminder to academic journals to avoid the vortex of the Matthew effect. Originality/value This paper proposes a journal evaluation model comprising academic influence, communication power and novelty dimensions. It uses fuzzy Borda evaluation to address issues related to the weighing of single evaluation methods. This study also analyses the relationship of the three dimensions and offers insights for journal development in the new media era.
{"title":"Research on the evaluation of academic journals from a multidimensional fusion measurement perspective","authors":"Rongying Zhao, Weijie Zhu","doi":"10.1108/el-03-2023-0055","DOIUrl":"https://doi.org/10.1108/el-03-2023-0055","url":null,"abstract":"\u0000Purpose\u0000This paper aims to conduct a comprehensive analysis to evaluate the current situation of journals, examine the factors that influence their development, and establish an evaluation index system and model. The objective is to enhance the theory and methodologies used for journal evaluation and provide guidance for their positive development.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses empirical data from economics journals to analyse their evaluation dimensions, methods, index system and evaluation framework. This study then assigns weights to journal data using single and combined evaluations in three dimensions: influence, communication and novelty. It calculates several evaluation metrics, including the explanation rate, information entropy value, difference coefficient and novelty degree. Finally, this study applies the concept of fuzzy mathematics to measure the final results.\u0000\u0000\u0000Findings\u0000The use of affiliation degree and fuzzy Borda number can synthesize ranking and score differences among evaluation methods. It combines internal objective information and improves model accuracy. The novelty of journal topics positively correlates with both the journal impact factor and social media mentions. In addition, journal communication power indicators compensate for the shortcomings of traditional citation analysis. Finally, the three-dimensional representative evaluation index serves as a reminder to academic journals to avoid the vortex of the Matthew effect.\u0000\u0000\u0000Originality/value\u0000This paper proposes a journal evaluation model comprising academic influence, communication power and novelty dimensions. It uses fuzzy Borda evaluation to address issues related to the weighing of single evaluation methods. This study also analyses the relationship of the three dimensions and offers insights for journal development in the new media era.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122432535","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}
Wei Dong, Meimei Zhou, Mei-yan Zhou, Bihan Jiang, Jijian Lu
Purpose The purpose of this paper is to study the application ways of extended reality (XR) in teaching, the specific teaching effects and how to implement teaching integration. Design/methodology/approach The study adopts an umbrella review approach, locates and screens 20 pertinent meta-analysis studies published in international journals and conducts a systematic review of the effects of teaching applications of XR technologies in terms of subject categories, education levels and teaching cycles. Findings The study finds that the effects of virtual reality and augmented reality technologies on teaching effectiveness can reach up to 0.723 and 0.951, indicating that XR technologies can improve teaching. Practical implications Through the systematic analysis of 20 related element analysis studies published in international journals, the specific methods and effects of XR technology applied to teaching are finally obtained and put forward the new application trend of XR promoting teaching effect. Originality/value In the past decade, more and more research has also focused on the specific methods and effects of XR technology applied to teaching. However, there are still problems such as unclear technology application path and unclear effect. Based on this, it is necessary to further conduct an overall overview and analysis of the impact of XR technology on teaching effect when it is integrated into teaching, systematically study the teaching effect of XR technology in different education levels and subject types and provide a theoretical basis for more detailed research on XR technology integration into teaching.
{"title":"An overview of applications and trends in the use of extended reality for teaching effectiveness: an umbrella review based on 20 meta-analysis studies","authors":"Wei Dong, Meimei Zhou, Mei-yan Zhou, Bihan Jiang, Jijian Lu","doi":"10.1108/el-11-2022-0257","DOIUrl":"https://doi.org/10.1108/el-11-2022-0257","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to study the application ways of extended reality (XR) in teaching, the specific teaching effects and how to implement teaching integration.\u0000\u0000\u0000Design/methodology/approach\u0000The study adopts an umbrella review approach, locates and screens 20 pertinent meta-analysis studies published in international journals and conducts a systematic review of the effects of teaching applications of XR technologies in terms of subject categories, education levels and teaching cycles.\u0000\u0000\u0000Findings\u0000The study finds that the effects of virtual reality and augmented reality technologies on teaching effectiveness can reach up to 0.723 and 0.951, indicating that XR technologies can improve teaching.\u0000\u0000\u0000Practical implications\u0000Through the systematic analysis of 20 related element analysis studies published in international journals, the specific methods and effects of XR technology applied to teaching are finally obtained and put forward the new application trend of XR promoting teaching effect.\u0000\u0000\u0000Originality/value\u0000In the past decade, more and more research has also focused on the specific methods and effects of XR technology applied to teaching. However, there are still problems such as unclear technology application path and unclear effect. Based on this, it is necessary to further conduct an overall overview and analysis of the impact of XR technology on teaching effect when it is integrated into teaching, systematically study the teaching effect of XR technology in different education levels and subject types and provide a theoretical basis for more detailed research on XR technology integration into teaching.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121116608","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}
Purpose Digital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models. Design/methodology/approach Stratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan. Findings Findings revealed that relationships between the latent variables hypothesized in the model were confirmed. Research limitations/implications The study has both theoretical and practical ramifications for academicians and information system designers and developers. Originality/value The IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.
{"title":"Determinants of overall user success in an academic digital library environment: validation of the integrated digital library user success (IDLUS) model","authors":"Memoona Iqbal, Muhammad Rafiq","doi":"10.1108/el-10-2022-0230","DOIUrl":"https://doi.org/10.1108/el-10-2022-0230","url":null,"abstract":"\u0000Purpose\u0000Digital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models.\u0000\u0000\u0000Design/methodology/approach\u0000Stratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan.\u0000\u0000\u0000Findings\u0000Findings revealed that relationships between the latent variables hypothesized in the model were confirmed.\u0000\u0000\u0000Research limitations/implications\u0000The study has both theoretical and practical ramifications for academicians and information system designers and developers.\u0000\u0000\u0000Originality/value\u0000The IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"10 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120989252","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}
Purpose This study aims to develop and test a browser extension as a scaffolding tool to guide learners about evaluating online sources. Design/methodology/approach In total, 129 undergraduate students participated in this experimental study. Both groups completed two Web searching tasks, but the experimental group used a browser extension. Findings The results indicated that there are significant differences between groups in terms of the number of accurate sources and visited sites. There were no differences neither in the success status nor the access time. The browser extension guidance affected certain search parameters, but this effect seemed to be diminished in accordance with students’ cognitive abilities as well as their digital literacy levels. Research limitations/implications The participants were from a vocational school, so any other study with different participants might reveal different findings. Practical implications The browser extension is convenient to be used with regards to interface and instructions. It can serve as a self-training tool with small changes in the code. The intervals and types of messages can be customized in line with the users’ needs. Social implications The approach used in this study can contribute to the dissemination of misleading information on the Web. People of any age can use and benefit from this approach via a simple extension. Originality/value The extension can serve as a fundamental framework for the construction of adaptive or smart extensions. As this study revealed the importance of both cognitive abilities and digital literacy levels, the extension can be enriched with the inclusion of cognitive scaffolding.
{"title":"The browser extension guidance for online information searching","authors":"Esra Efendioğlu, Emine Şendurur","doi":"10.1108/el-01-2023-0026","DOIUrl":"https://doi.org/10.1108/el-01-2023-0026","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop and test a browser extension as a scaffolding tool to guide learners about evaluating online sources.\u0000\u0000\u0000Design/methodology/approach\u0000In total, 129 undergraduate students participated in this experimental study. Both groups completed two Web searching tasks, but the experimental group used a browser extension.\u0000\u0000\u0000Findings\u0000The results indicated that there are significant differences between groups in terms of the number of accurate sources and visited sites. There were no differences neither in the success status nor the access time. The browser extension guidance affected certain search parameters, but this effect seemed to be diminished in accordance with students’ cognitive abilities as well as their digital literacy levels.\u0000\u0000\u0000Research limitations/implications\u0000The participants were from a vocational school, so any other study with different participants might reveal different findings.\u0000\u0000\u0000Practical implications\u0000The browser extension is convenient to be used with regards to interface and instructions. It can serve as a self-training tool with small changes in the code. The intervals and types of messages can be customized in line with the users’ needs.\u0000\u0000\u0000Social implications\u0000The approach used in this study can contribute to the dissemination of misleading information on the Web. People of any age can use and benefit from this approach via a simple extension.\u0000\u0000\u0000Originality/value\u0000The extension can serve as a fundamental framework for the construction of adaptive or smart extensions. As this study revealed the importance of both cognitive abilities and digital literacy levels, the extension can be enriched with the inclusion of cognitive scaffolding.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055420","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}
Purpose The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching. Design/methodology/approach A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements. Findings The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation. Originality/value This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.
{"title":"Metadata construction scheme of a traditional clothing digital collection","authors":"Qingzhu Ye","doi":"10.1108/el-01-2023-0004","DOIUrl":"https://doi.org/10.1108/el-01-2023-0004","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.\u0000\u0000\u0000Design/methodology/approach\u0000A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.\u0000\u0000\u0000Findings\u0000The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.\u0000\u0000\u0000Originality/value\u0000This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515361","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}
Purpose Although, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices. Design/methodology/approach Quantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data. Findings The authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining. Originality/value This research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.
{"title":"Impact of personal innovativeness, perceived smartphone ease of use and mobile self-efficacy on smartphone-based personal information management practices","authors":"Irfan Ali, N. Warraich","doi":"10.1108/el-12-2022-0262","DOIUrl":"https://doi.org/10.1108/el-12-2022-0262","url":null,"abstract":"\u0000Purpose\u0000Although, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices.\u0000\u0000\u0000Design/methodology/approach\u0000Quantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data.\u0000\u0000\u0000Findings\u0000The authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining.\u0000\u0000\u0000Originality/value\u0000This research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"625 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132818037","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}
Purpose This paper aims to quantify the quality of peer reviews, evaluate them from different perspectives and develop a model to predict the review quality. In addition, this paper investigates effective features to distinguish the reviews' quality. Design/methodology/approach First, a fine-grained data set including peer review data, citations and review conformity scores was constructed. Second, metrics were proposed to evaluate the quality of peer reviews from three aspects. Third, five categories of features were proposed in terms of reviews, submissions and responses using natural language processing (NLP) techniques. Finally, different machine learning models were applied to predict the review quality, and feature analysis was performed to understand effective features. Findings The analysis results revealed that reviewers become more conservative and the review quality becomes worse over time in terms of these indicators. Among the three models, random forest model achieves the best performance on all three tasks. Sentiment polarity, review length, response length and readability are important factors that distinguish peer reviews’ quality, which can help meta-reviewers value more worthy reviews when making final decisions. Originality/value This study provides a new perspective for assessing review quality. Another originality of the research lies in the proposal of a novelty task that predict review quality. To address this task, a novel model was proposed which incorporated various of feature sets, thereby deepening the understanding of peer reviews.
{"title":"Assessing and predicting the quality of peer reviews: a text mining approach","authors":"Jie Meng","doi":"10.1108/el-06-2022-0139","DOIUrl":"https://doi.org/10.1108/el-06-2022-0139","url":null,"abstract":"\u0000Purpose\u0000This paper aims to quantify the quality of peer reviews, evaluate them from different perspectives and develop a model to predict the review quality. In addition, this paper investigates effective features to distinguish the reviews' quality. \u0000\u0000\u0000Design/methodology/approach\u0000First, a fine-grained data set including peer review data, citations and review conformity scores was constructed. Second, metrics were proposed to evaluate the quality of peer reviews from three aspects. Third, five categories of features were proposed in terms of reviews, submissions and responses using natural language processing (NLP) techniques. Finally, different machine learning models were applied to predict the review quality, and feature analysis was performed to understand effective features.\u0000\u0000\u0000Findings\u0000The analysis results revealed that reviewers become more conservative and the review quality becomes worse over time in terms of these indicators. Among the three models, random forest model achieves the best performance on all three tasks. Sentiment polarity, review length, response length and readability are important factors that distinguish peer reviews’ quality, which can help meta-reviewers value more worthy reviews when making final decisions.\u0000\u0000\u0000Originality/value\u0000This study provides a new perspective for assessing review quality. Another originality of the research lies in the proposal of a novelty task that predict review quality. To address this task, a novel model was proposed which incorporated various of feature sets, thereby deepening the understanding of peer reviews.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127045346","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}
Purpose In the digital transformation race, the older generation, called digital immigrants (generation X), encounter various obstacles. This study aims to investigate the e-reading adoption and cross-cultural differences among generation X. Design/methodology/approach This study collected survey-based data from generation X e-readers in Iraq and Pakistan (Pakistan, N = 235; Iraq, N = 251). Structural equation modeling and multigroup analysis (MGA) were used to arrive at a statistical decision regarding the hypotheses and the study’s primary objectives. Findings Three hypotheses (H2, H3 and H8) were supported by both data sets. However, there is positive variance based on MGA for two hypotheses (H1 and H3) where the Pakistani sample’s path coefficients are greater than the Iraqi sample’s path coefficients. In contrast, there is negative variance based on MGA for two hypotheses (H7 and H9) where the Iraqi sample’s path coefficients are greater than the Pakistani sample’s path coefficients. Finally, these distinctions are examined, along with a few potential research topics Originality/value Although there is a plethora of literature on digital immigrants and technology adoption in general, and specifically on e-reading uptake. Research on e-reading adoption in a global learning context is still lacking. Therefore, this study examines the e-reading behavior of digital immigrants from two developing countries (Iraq and Pakistan) and identifies significant cross-cultural differences in e-reading adoption.
{"title":"Digital immigrants' attitudes toward e-reading in Iraq and Pakistan","authors":"S. Soroya, L. H. Al-Obaydi, M. Rehman","doi":"10.1108/el-09-2022-0217","DOIUrl":"https://doi.org/10.1108/el-09-2022-0217","url":null,"abstract":"\u0000Purpose\u0000In the digital transformation race, the older generation, called digital immigrants (generation X), encounter various obstacles. This study aims to investigate the e-reading adoption and cross-cultural differences among generation X.\u0000\u0000\u0000Design/methodology/approach\u0000This study collected survey-based data from generation X e-readers in Iraq and Pakistan (Pakistan, N = 235; Iraq, N = 251). Structural equation modeling and multigroup analysis (MGA) were used to arrive at a statistical decision regarding the hypotheses and the study’s primary objectives.\u0000\u0000\u0000Findings\u0000Three hypotheses (H2, H3 and H8) were supported by both data sets. However, there is positive variance based on MGA for two hypotheses (H1 and H3) where the Pakistani sample’s path coefficients are greater than the Iraqi sample’s path coefficients. In contrast, there is negative variance based on MGA for two hypotheses (H7 and H9) where the Iraqi sample’s path coefficients are greater than the Pakistani sample’s path coefficients. Finally, these distinctions are examined, along with a few potential research topics\u0000\u0000\u0000Originality/value\u0000Although there is a plethora of literature on digital immigrants and technology adoption in general, and specifically on e-reading uptake. Research on e-reading adoption in a global learning context is still lacking. Therefore, this study examines the e-reading behavior of digital immigrants from two developing countries (Iraq and Pakistan) and identifies significant cross-cultural differences in e-reading adoption.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783045","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}
Purpose The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web. Design/methodology/approach The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. The frequency characteristics of the reviews are mined by word frequency analysis, and the relationship between reviews and total book score is mined by correlation analysis. Then, the reviews are classified into three roles: celebrity, general and passerby. Finally, the authors can form user groups, mine group features and combine group features with book fine-grained ratings to make book group recommendations. Findings Overall, the best recommendations are made by Synopsis comments, with the accuracy, recall, F-value and Hellinger distance of 52.9%, 60.0%, 56.3% and 0.163, respectively. The F1 index of the recommendations based on the author and the writing comments is improved by 2.5% and 0.4%, respectively, compared to the Synopsis comments. Originality/value Previous studies on book recommendation often recommend relevant books for users by mining the similarity between books, so the set of book recommendations recommended to users, especially to groups, always focuses on the few types. The proposed method can effectively ensure the diversity of recommendations by mining users’ tendency to different review attributes of books and recommending books for the groups. In addition, this study also investigates which types of reviews should be used to make book recommendations when targeting groups with specific tendencies.
{"title":"A group recommender system for books based on fine-grained classification of comments","authors":"Jiaxin Ye, Huixiang Xiong, Jinpeng Guo, Xuan Meng","doi":"10.1108/el-11-2022-0252","DOIUrl":"https://doi.org/10.1108/el-11-2022-0252","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web.\u0000\u0000\u0000Design/methodology/approach\u0000The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. The frequency characteristics of the reviews are mined by word frequency analysis, and the relationship between reviews and total book score is mined by correlation analysis. Then, the reviews are classified into three roles: celebrity, general and passerby. Finally, the authors can form user groups, mine group features and combine group features with book fine-grained ratings to make book group recommendations.\u0000\u0000\u0000Findings\u0000Overall, the best recommendations are made by Synopsis comments, with the accuracy, recall, F-value and Hellinger distance of 52.9%, 60.0%, 56.3% and 0.163, respectively. The F1 index of the recommendations based on the author and the writing comments is improved by 2.5% and 0.4%, respectively, compared to the Synopsis comments.\u0000\u0000\u0000Originality/value\u0000Previous studies on book recommendation often recommend relevant books for users by mining the similarity between books, so the set of book recommendations recommended to users, especially to groups, always focuses on the few types. The proposed method can effectively ensure the diversity of recommendations by mining users’ tendency to different review attributes of books and recommending books for the groups. In addition, this study also investigates which types of reviews should be used to make book recommendations when targeting groups with specific tendencies.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122229696","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}
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