Purpose:Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task.Design/methodology/approach:Test the extent to which ChatGPT-4 can assess ...Purpose:Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task.Design/methodology/approach:Test the extent to which ChatGPT-4 can assess the quality of journal articles using a case study of the published scoring guidelines of the UK Research Excellence Framework(REF)2021 to create a research evaluation ChatGPT.This was applied to 51 of my own articles and compared against my own quality judgements.Findings:ChatGPT-4 can produce plausible document summaries and quality evaluation rationales that match the REF criteria.Its overall scores have weak correlations with my self-evaluation scores of the same documents(averaging r=0.281 over 15 iterations,with 8 being statistically significantly different from 0).In contrast,the average scores from the 15 iterations produced a statistically significant positive correlation of 0.509.Thus,averaging scores from multiple ChatGPT-4 rounds seems more effective than individual scores.The positive correlation may be due to ChatGPT being able to extract the author’s significance,rigour,and originality claims from inside each paper.If my weakest articles are removed,then the correlation with average scores(r=0.200)falls below statistical significance,suggesting that ChatGPT struggles to make fine-grained evaluations.Research limitations:The data is self-evaluations of a convenience sample of articles from one academic in one field.Practical implications:Overall,ChatGPT does not yet seem to be accurate enough to be trusted for any formal or informal research quality evaluation tasks.Research evaluators,including journal editors,should therefore take steps to control its use.Originality/value:This is the first published attempt at post-publication expert review accuracy testing for ChatGPT.展开更多
In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpret...In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpreted as the research framework of CALL in China by introducing the four elements of AR-involvement, improvement, systematization and publicity.展开更多
Compared with the services in 3G, services in Beyond 3G (B3G) have some distinctive characteristics such as the packet data services being the majority, more service types, larger scale of services, higher peak transm...Compared with the services in 3G, services in Beyond 3G (B3G) have some distinctive characteristics such as the packet data services being the majority, more service types, larger scale of services, higher peak transmission rate, enlarged range of transmission rates, more spatial and temporal distribution differences, and more service transmission requests occurring in fast moving vehicles. In order to meet the requirements of B3G services, the B3G systems must have great improvement in network architecture, air interface scheme, radio resource allocation strategy, frequency bands, and Radio Frequency (RF) technology etc. Therefore, the research of the B3G systems should focus on the theory of generalized cellular communications networks, theory of the Multiple Input Multiple Output (MIMO) wireless transmission system, matching of radio resources to new-type air interfaces, new iterative detection and adaptive link methods, and new-type antenna and RF technologies.展开更多
The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy...The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy. Research studies on the PRC are valuable not only to policymakers in the PRC but also to a larger audience in the global business community. Accounting standards and practices are central to the economic order of any society. As accounting systems are not isolated from social and cultural systems, towards an understanding of social/cultural environments interacting with accounting systems in the PRC in turn facilitates the international investors to interpret financial information and to set strategies in doing businesses in the country. It is expected that the research results of this kind of projects will have implications to different aspects of financial disclosure of companies in the PRC. Being grounded in the current accounting literature, the proposed conceptual framework in this paper is to discern the interconnections between accounting systems and cul^ral factors in the PRC. It aims at contributing to the accounting body of knowledge and to provide practical insights for global managers.展开更多
Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to...Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.展开更多
Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertation...Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been controversial.Hence,this research paper is influenced by the institutes ranking all over the world.The data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)process.For this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their source.The bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false results.Secondly,the exclusion of theses and dissertation documents to retrieve the actual publications to count for citations.Thirdly,the elimination of falsely owned articles from scholars’profiles.To accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new evaluation.The data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their citations.The research promoted the predictive approach of correlational research.Furthermore,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed taxonomy.This paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.展开更多
数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009...数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009—2022年)的227篇英文文献。研究发现:从内涵发展看,数字服务化尚未有统一界定,但可识别其内涵核心要素;从研究热点与理论演进看,数字服务化研究从关注ICT技术对企业服务创新的重要作用到剖析数字化在服务化中的作用,再到强调服务生态系统对数字服务化的重要性,理论视角从商业模式理论、价值共创理论向服务主导逻辑、服务生态系统视角演进;从研究主题看,现有研究主要围绕数字服务化情境、能力、模式、连结及结果五大主题。本文据此构建起“大数据分析能力—模块化解决方案创新—客户/供应商/政府参与—企业升级”的一个整合研究框架,为数字服务化未来研究提供借鉴与启示。展开更多
文摘Purpose:Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task.Design/methodology/approach:Test the extent to which ChatGPT-4 can assess the quality of journal articles using a case study of the published scoring guidelines of the UK Research Excellence Framework(REF)2021 to create a research evaluation ChatGPT.This was applied to 51 of my own articles and compared against my own quality judgements.Findings:ChatGPT-4 can produce plausible document summaries and quality evaluation rationales that match the REF criteria.Its overall scores have weak correlations with my self-evaluation scores of the same documents(averaging r=0.281 over 15 iterations,with 8 being statistically significantly different from 0).In contrast,the average scores from the 15 iterations produced a statistically significant positive correlation of 0.509.Thus,averaging scores from multiple ChatGPT-4 rounds seems more effective than individual scores.The positive correlation may be due to ChatGPT being able to extract the author’s significance,rigour,and originality claims from inside each paper.If my weakest articles are removed,then the correlation with average scores(r=0.200)falls below statistical significance,suggesting that ChatGPT struggles to make fine-grained evaluations.Research limitations:The data is self-evaluations of a convenience sample of articles from one academic in one field.Practical implications:Overall,ChatGPT does not yet seem to be accurate enough to be trusted for any formal or informal research quality evaluation tasks.Research evaluators,including journal editors,should therefore take steps to control its use.Originality/value:This is the first published attempt at post-publication expert review accuracy testing for ChatGPT.
文摘In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpreted as the research framework of CALL in China by introducing the four elements of AR-involvement, improvement, systematization and publicity.
基金Program ofNational Nature Science Foundation of China(No. 60496311) Project of National "863"Plan ofChina (No. 2005AA121052)
文摘Compared with the services in 3G, services in Beyond 3G (B3G) have some distinctive characteristics such as the packet data services being the majority, more service types, larger scale of services, higher peak transmission rate, enlarged range of transmission rates, more spatial and temporal distribution differences, and more service transmission requests occurring in fast moving vehicles. In order to meet the requirements of B3G services, the B3G systems must have great improvement in network architecture, air interface scheme, radio resource allocation strategy, frequency bands, and Radio Frequency (RF) technology etc. Therefore, the research of the B3G systems should focus on the theory of generalized cellular communications networks, theory of the Multiple Input Multiple Output (MIMO) wireless transmission system, matching of radio resources to new-type air interfaces, new iterative detection and adaptive link methods, and new-type antenna and RF technologies.
文摘The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy. Research studies on the PRC are valuable not only to policymakers in the PRC but also to a larger audience in the global business community. Accounting standards and practices are central to the economic order of any society. As accounting systems are not isolated from social and cultural systems, towards an understanding of social/cultural environments interacting with accounting systems in the PRC in turn facilitates the international investors to interpret financial information and to set strategies in doing businesses in the country. It is expected that the research results of this kind of projects will have implications to different aspects of financial disclosure of companies in the PRC. Being grounded in the current accounting literature, the proposed conceptual framework in this paper is to discern the interconnections between accounting systems and cul^ral factors in the PRC. It aims at contributing to the accounting body of knowledge and to provide practical insights for global managers.
基金Fujian Provincial Education Department Project,China(No.JAS180414)Putian University Project,China(No.2018061)Fujian Provincial Social Science Project,China(No.FJ2017C008)
文摘Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.
文摘Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been controversial.Hence,this research paper is influenced by the institutes ranking all over the world.The data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)process.For this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their source.The bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false results.Secondly,the exclusion of theses and dissertation documents to retrieve the actual publications to count for citations.Thirdly,the elimination of falsely owned articles from scholars’profiles.To accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new evaluation.The data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their citations.The research promoted the predictive approach of correlational research.Furthermore,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed taxonomy.This paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.
文摘数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009—2022年)的227篇英文文献。研究发现:从内涵发展看,数字服务化尚未有统一界定,但可识别其内涵核心要素;从研究热点与理论演进看,数字服务化研究从关注ICT技术对企业服务创新的重要作用到剖析数字化在服务化中的作用,再到强调服务生态系统对数字服务化的重要性,理论视角从商业模式理论、价值共创理论向服务主导逻辑、服务生态系统视角演进;从研究主题看,现有研究主要围绕数字服务化情境、能力、模式、连结及结果五大主题。本文据此构建起“大数据分析能力—模块化解决方案创新—客户/供应商/政府参与—企业升级”的一个整合研究框架,为数字服务化未来研究提供借鉴与启示。
