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      Foreign market entry knowledge and international performance: The mediating role of international market selection and network capability

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      Journal of World Business
      Elsevier BV

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Comparative fit indexes in structural models.

            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              Absorptive Capacity: A New Perspective on Learning and Innovation

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                Author and article information

                Journal
                Journal of World Business
                Journal of World Business
                Elsevier BV
                10909516
                February 2022
                February 2022
                : 57
                : 2
                : 101266
                Article
                10.1016/j.jwb.2021.101266
                56174d16-1815-4cc6-988a-dee6cc51a063
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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