In the world of science, recognition of scientific performance is strongly correlated with publication visibility and interest generated among other researchers, which is evident by downloads and citations. A publishe...In the world of science, recognition of scientific performance is strongly correlated with publication visibility and interest generated among other researchers, which is evident by downloads and citations. A published paper’s number of downloads and citations are the best indices of its importance and are useful measures of the researchers’ performance. However, the published paper should be valuated and indexed independently, and the prestige of the journal in which it is published should not influence the value of the paper itself. By participating in and presenting at congresses and international meetings, scientists strongly increase the visibility of their results and recognition of their research;this also promotes their publications. Status in Research Gate (RG), the so-called RG Score, the Percentile, and the h-index give researchers feedback about their performance, or their place and prestige within the scientific community. RG has become an excellent tool for disseminating scientific results and connecting researchers worldwide. RG also allows researchers to present achievements other than publications (e.g., membership in recognized associations such as the American Chemist Society, a biography in Marquis Who’s Who in the World, awards received, and/or ongoing projects). This paper discusses questions regarding how the RG Score, Percentile, and h-index are calculated, whether these methods are correct, and alternative criteria. RG also lists papers with falsified results and the journals that publish them. Thus, it may be appropriate to reduce the indices for such journals, authors, and the institutions with which these authors are affiliated.展开更多
In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students ...In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.展开更多
文摘In the world of science, recognition of scientific performance is strongly correlated with publication visibility and interest generated among other researchers, which is evident by downloads and citations. A published paper’s number of downloads and citations are the best indices of its importance and are useful measures of the researchers’ performance. However, the published paper should be valuated and indexed independently, and the prestige of the journal in which it is published should not influence the value of the paper itself. By participating in and presenting at congresses and international meetings, scientists strongly increase the visibility of their results and recognition of their research;this also promotes their publications. Status in Research Gate (RG), the so-called RG Score, the Percentile, and the h-index give researchers feedback about their performance, or their place and prestige within the scientific community. RG has become an excellent tool for disseminating scientific results and connecting researchers worldwide. RG also allows researchers to present achievements other than publications (e.g., membership in recognized associations such as the American Chemist Society, a biography in Marquis Who’s Who in the World, awards received, and/or ongoing projects). This paper discusses questions regarding how the RG Score, Percentile, and h-index are calculated, whether these methods are correct, and alternative criteria. RG also lists papers with falsified results and the journals that publish them. Thus, it may be appropriate to reduce the indices for such journals, authors, and the institutions with which these authors are affiliated.
文摘In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.
