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Due to the extreme importance of evaluating the credibility of information available on a huge number of scientific websites, the present research aimed to develop a measurement scale based on a validated questionnaire incorporating the novel conceptualization of the concept credibility by Hovland and Weiss (1951).

Regarding the descriptive and survey nature of the research, the data were collected based on a stratified random sampling among the 672 students in two different contexts at five top nonmedical universities and, with a one-year interval, at three top medical universities in Iran. High reliability and construct validity were reported by testing the convergent and discriminant validity of the main instrument.

Confirmatory factor analysis (CFA) resulted in a scale named SWCRED including eight components and 28 items. Considering path coefficients (?) and t-statistics (t-value), a significant relationship was reported between all components and the main variable of credibility in the final scale at a 99% confidence level (t = 2.57).

Results suggest that the information credibility of scientific websites, especially in the university contexts, can be measured by asking participants to rate how well eight components represent content including ethics, writing style, website appearance, website identity, professional information, accuracy, usability and interaction. The scale has a goodness of fit from the different indices and is of high validity for use in different educational and research settings.

The framework underlying the research has the required quality integrating a set of most important criteria for exploring the credibility evaluation of scientific web information by the students, which is useful for future-related studies.

Using asymmetric impact–performance analysis for examining an asymmetric relationship between user satisfaction and website features, the present research aims to identify features of high priority for quality improvement. For doing so, the current research was conducted in the context of the E-learning website of the most prestigious university in Iran, namely, the University of Tehran.

The main question was which of the three groups of basic, performance and excitement factors has the required dimensions of the quality of the website based on the model WebQual 4.0 by considering Kano’s user satisfaction model and impact–performance analysis. This is a descriptive survey, applied and cross-sectional study. The study population included Tehran University’s students who enrolled in virtual courses in the academic year 2020–2021 from which a sample of 457 students was selected. The data collection tool was the questionnaire of Webqual 4.0, as well as a researcher-made questionnaire to measure end-user satisfaction.

Using structural equation modeling and multiple regression, the findings showed that the customer’s overall satisfaction with the mentioned website is primarily affected by the feature interaction with services, including the two structures of trust and empathy, and then the dimensions of usability and quality of information. Examining the Webqual 0.4 dimensions indicated that the website usability dimension is a part of the high-performance excitement factors group, the information quality dimension is a part of the high-performance basic factors group and the website interaction dimension is in the low-performance basic factors group.

The research is highly innovative taking the theoretical model of Kano and methodological investigation of asymmetric impact–performance analysis into consideration alongside the WebQual 4.0 as a fundamental model for website assessment. Moreover, the research was conducted on an E-learning website, which is unique and a necessity amid the COVID-19 pandemic.

The Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.

Two types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.

Bibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.

The findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.

Using bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.