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An Attitude toward the Collaborative Information Behavior: A Systematic Review

Objective Collaborative information behavior researches explain different types of functions and activities that people utilize in teamwork information-oriented environments by interacting with each other. The aim of this paper is to analyze the methodological structure and identify the main variables in existing CIB, CIS, and CIR studies. Methodology All papers extracted from international databases including Scopus and Web of Science from 1997 to 2019 were reviewed in terms of quality and appropriateness. Then the full text of 91 selected articles was assessed. Based on a prepared checklist, information was extracted in a variety of fields such as first author, year, main subject, type of study, analysis tools, variables studied, and number and type of participants. Finding The evaluation of the articles’ methodology showed that the most methodological structure was qualitative in 39 papers. Also, an investigation of the measurement tools showed that data were collected in 28 articles by questionnaire, 13 articles by interview, and questionnaire. Seventy-four percent of the selected studies have been done by mixed methods in the last five years. Conclusion This systematic review investigated the published papers in the field of CIB, CIS & CIR to evaluating of the research content structures and components. Team awareness, interaction, information sharing, collaboration, division of labor, communication, problem-solving, and cognitive dimension have been identified as the main elements of CIB.

Identifying Combinations of Altmetrics and Web of Science Usage That Linked to Early Citations of an Article Received: A Crisp-Set Qualitative Comparative Analysis (csQCA)

The relations of altmetrics/usage of an article and its citations have been studied extensively by using several variable-oriented approaches, e.g., correlations analysis, regression analysis, and so on. Variable-oriented approaches are symmetrically designed to estimate the “net effects” of independent variables on outcomes. In contrast to variable-oriented approaches, Qualitative Comparative Analysis (QCA), a case-oriented approach based on set theory, models the concept of conjunctural causation, rather than a single net effect. QCA assumes asymmetry, equifinality, and causal complexity. In this study, based on four data sets from Scientific Reports, a Crisp-set Qualitative Comparative Analysis (csQCA) was employed to identify combinations of altmetrics and Web of Science usage (WOSusage) that linked to early citations an article received. Our results revealed the existence of diverse combinations of altmetrics and WOSusage that linked to early citations. The four combinations with the highest raw coverage for each data set indicated that high Mendeley readers together with high WOSusage played a key role in early citations an article received. The other altmetrics, including Twitter, Facebook, blogs, and news, played roles in linking to early citations an article received but varied in different combinations for each data set.