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      Examining the factors influencing information poverty in western China

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      The Electronic Library
      Emerald

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          Abstract

          Purpose

          The purpose of this study is to explore the factors impacting information poverty in western China and investigate to what extent these determinants contribute to information poverty in these areas.

          Design/methodology/approach

          Structural equation modeling (SEM) technique was used to analyze 232 valid responses collected from a survey to examine the research model and hypotheses in this study.

          Findings

          The results indicate that information literacy, information supply and information and communication technologies (ICTs) positively and significantly affect information poverty, while social prejudice and information orientation had no significant effects on information poverty.

          Practical implications

          Public libraries, government departments and other institutions should pay attention to the significant impact of information literacy, information supply and ICTs on information poverty and formulate corresponding systems and policies to alleviate or reduce information poverty.

          Originality/values

          In the past, few studies have focused on information poverty in western China and most of the existing research on information poverty adopts qualitative research methods, such as interview, systematic literature review and so on, while quantitative research is rare. In addition, the focus of these research studies was on one or two aspects, and a few of them can systematically study the influencing factors of information poverty. Inspired by the theories of information literacy, social prejudice and information poverty, this study comprehensively used a questionnaire survey and SEM to investigate the influences of information literacy, social prejudice, information supply, information orientation and ICTs on information poverty.

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          Most cited references52

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Structural equation modeling in practice: A review and recommended two-step approach.

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              On the evaluation of structural equation models

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                Author and article information

                Journal
                The Electronic Library
                EL
                Emerald
                0264-0473
                0264-0473
                November 26 2020
                December 15 2020
                November 26 2020
                December 15 2020
                : 38
                : 5/6
                : 1115-1134
                Article
                10.1108/EL-04-2020-0095
                ea30b3f7-6b7b-4c71-91ce-db08a0ea1594
                © 2020

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