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      Decoupling the influence of eco-sustainability motivations in the adoption of the green industrial IoT and the impact of advanced manufacturing technologies

      , , ,
      Journal of Cleaner Production
      Elsevier BV

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              A new criterion for assessing discriminant validity in variance-based structural equation modeling

                Author and article information

                Contributors
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                Journal
                Journal of Cleaner Production
                Journal of Cleaner Production
                Elsevier BV
                09596526
                March 2022
                March 2022
                : 339
                : 130708
                Article
                10.1016/j.jclepro.2022.130708
                da57d31c-21b1-4bc9-a60e-0c02a18341ee
                © 2022

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

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