Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities
By Arch G. Woodside. 2014
888 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6b51169171d63d4592cbab2af54a3c95f2abb4c1
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In Artificial Intelligence
In Management Science and Operations Research
In Sociology and Political Science
Citations in the corpus
- Tackling the Complexity of the Pro-environmental Behavior Intentions of Visitors to Turtle Sites (2019, methodology): “Therefore, Tenet 6 is also supported (Woodside 2014; Wu et al. 22 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 2014).”
- R&D expenditures, ultimate ownership and future performance: Evidence from China (2017, methodology): “Additionally, in order to examine howwell the model predicts in alternative samples, we also test for the predictive validity, which is essential because good fit validity does not necessarily equal the same validity in prediction (Gigerenzer & Brighton, 2009; Woodside, 2014; Wu, Yeh, Huan, & Woodsi”
- Understanding the consequences of public social media use for work (2017, methodology): “Aside from SEM analysis, fuzzy-setQualitative Comparative Analysis (fsQCA) may provide additional insights in complex and possibly contradicting cases (Pappas, Kourouthanassis, Giannakos, & Chrissikopoulos, 2016; Woodside, 2014).”
- Accommodation decision-making during the COVID-19 pandemic: Complexity insights from Greece (2020, positive): “Moreover, multiple paths (complex configurations) should be able to lead to the same outcome (Equifinality principle) (Woodside, 2014).”
- Configurational Models to Predict Residents’ Support for Tourism Development (2017, methodology): “It is worth evaluating results from fsQCA for the modeling of support for tourism based on the six key tenets of complexity theory (Woodside 2014).”
- Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method (2017, methodology): “that expands previous contributions and shows diversification of disciplines (Fiss 2007; García-Castro et al. 2013; Rihoux et al. 2013; Woodside 2014).”
- The role of emotions and conflicting online reviews on consumers' purchase intentions (2018, methodology): “However, both positive and negative contrarian cases occur, which further confirms the asymmetric relationship among the study’s conditions and the consumers’ intention to visit (Woodside, 2014).”