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      Companies’ adoption of Smart Technologies to achieve structural ambidexterity: an analysis with SEM

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      Technological Forecasting and Social Change
      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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              Structural equation modeling in practice: A review and recommended two-step approach.

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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Technological Forecasting and Social Change
                Technological Forecasting and Social Change
                Elsevier BV
                00401625
                January 2022
                January 2022
                : 174
                : 121187
                Article
                10.1016/j.techfore.2021.121187
                17431c20-7ae0-4f9c-af15-266e650ac098
                © 2022

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

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