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Green Strategic Orientation, a Gateway to Achieve Sustainable Performance Through Green Innovation: Dataset of Manufacturing Firms in Pakistan

https://doi.org/10.2139/ssrn.4663914
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/bse.2865openalex-extracted
Does the interaction between the knowledge management process and sustainable development practices boost corporate green innovation?
inferredcites →https://doi.org/10.1002/bse.3588openalex-extracted
The interplay among green absorptive capacity, green entrepreneurial, and learning orientations and their effect on triple bottom line performance
inferredcites →https://doi.org/10.1002/csr.2371openalex-extracted
Enabling green supply chain integration via green entrepreneurial orientation: Does environmental leadership matter?
inferredcites →https://doi.org/10.1007/s11356-023-29353-4openalex-extracted
Modeling the significance of green orientation and culture on green innovation performance: moderating effect of firm size and green implementation
inferredcites →https://doi.org/10.1007/s11747-014-0403-8openalex-extracted
A new criterion for assessing discriminant validity in variance-based structural equation modeling
inferredcites →https://doi.org/10.1016/j.dib.2023.109074openalex-extracted
A perspective on using partial least squares structural equation modelling in data articles
inferredcites →https://doi.org/10.1016/j.jclepro.2017.12.109openalex-extracted
The drivers of eco-innovation and its impact on performance: Evidence from China
inferredcites →https://doi.org/10.1016/j.jclepro.2018.07.104openalex-extracted
Green entrepreneurial orientation for enhancing firm performance: A dynamic capability perspective
inferredcites →https://doi.org/10.1080/1743727x.2015.1005806openalex-extracted
A primer on partial least squares structural equation modeling (PLS-SEM)
inferredcites →https://doi.org/10.1108/ebr-11-2018-0203openalex-extracted
When to use and how to report the results of PLS-SEM
inferredcites →https://doi.org/10.1108/ejm-02-2019-0189openalex-extracted
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
inferredcites →https://doi.org/10.1108/imds-10-2019-0529openalex-extracted
Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
inferredcites →https://doi.org/10.1108/jic-06-2020-0181openalex-extracted
Does green intellectual capital spur corporate environmental performance through green workforce?
inferredcites →https://doi.org/10.1177/002224378101800104openalex-extracted
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
inferredcites →https://doi.org/10.1177/0149206310390219openalex-extracted
Invited Editorial: A Natural-Resource-Based View of the Firm
inferredcites →https://doi.org/10.1177/1094428105284955openalex-extracted
Method Variance in Organizational Research
inferredcites →https://doi.org/10.2307/1161864openalex-extracted
Modern Factor Analysis
inferredcites →https://doi.org/10.2307/3151312openalex-extracted
inferredcites →https://doi.org/10.35566/poweropenalex-extracted
Practical statistical power analysis using Webpower and R
inferredcites →https://doi.org/10.3758/bf03193146openalex-extracted
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
inferredcites →https://doi.org/10.3758/s13428-016-0814-1openalex-extracted
Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation
inferredcites →https://doi.org/10.4018/ijec.2015100101openalex-extracted
Common Method Bias in PLS-SEM
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