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Qualitative analysis with structural associations

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  • Huarng, Kun-Huang

Abstract

This study proposes an approach to analyze the structural associations in multi-layer problems using the new consistency. Research methods are important in identifying correct associations between antecedents and outcomes. Studies suggest using fuzzy set Qualitative Comparative Analysis (fsQCA) to explore the associations. However, fsQCA presents two problems: the definition of consistency function and the propagation of consistency values in multi-layer problems. To facilitate the explanation, this study uses the proposed approach to analyze the structural research framework and data by Lin et al. (2009) to demonstrate the process of how to obtain the structural association of a multi-layer problem.

Suggested Citation

  • Huarng, Kun-Huang, 2016. "Qualitative analysis with structural associations," Journal of Business Research, Elsevier, vol. 69(11), pages 5187-5191.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5187-5191
    DOI: 10.1016/j.jbusres.2016.04.110
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    References listed on IDEAS

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    1. Huarng, Kun-Huang, 2015. "Configural theory for ICT development," Journal of Business Research, Elsevier, vol. 68(4), pages 748-756.
    2. Arch G. Woodside & Arnoldo R. Camacho & Lai, Wen-Hsiang, 2013. "Guest Editorial: Sense Making, Dilemmas, and Solutions in Strategic Management," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 91-95, December.
    3. Arch G. Woodside & Alexandre Schpektor & Xin Xia, 2013. "Triple Sense-Making of Findings from Marketing Experiments Using the Dominant Variable Based-Logic, Case-Based Logic, and Isomorphic Modeling," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 131-153, December.
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    Citations

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    Cited by:

    1. Pham, Thuy-Dzung T. & Lo, Fang-Yi, 2023. "How does top management team diversity influence firm performance? A causal complexity analysis," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    2. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2022. "Analysis of Global Innovation Index by structural qualitative association," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2020. "The impact of surge pricing on customer retention," Journal of Business Research, Elsevier, vol. 120(C), pages 175-180.
    4. Tran, Cong Duc & Nguyen, Tin Trung, 2021. "Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps," Technology in Society, Elsevier, vol. 67(C).
    5. Porfírio, José António & Felício, José Augusto & Carrilho, Tiago, 2020. "Family business succession: Analysis of the drivers of success based on entrepreneurship theory," Journal of Business Research, Elsevier, vol. 115(C), pages 250-257.
    6. Tânia Saraiva & Tiago Cruz Gonçalves, 2022. "Should I Play or Should I Go? Individuals’ Characteristics and Preference for Uncertainty," Games, MDPI, vol. 13(2), pages 1-14, April.
    7. Felício, Teresa & Samagaio, António & Rodrigues, Ricardo, 2021. "Adoption of management control systems and performance in public sector organizations," Journal of Business Research, Elsevier, vol. 124(C), pages 593-602.
    8. Gentina, Elodie & Huarng, Kun-Huang & Sakashita, Mototaka, 2018. "A social comparison theory approach to mothers' and daughters' clothing co-consumption behaviors: A cross-cultural study in France and Japan," Journal of Business Research, Elsevier, vol. 89(C), pages 361-370.
    9. Kun-Huang Huarng & Ming-Feng Yu, 2019. "Customer satisfaction and repurchase intention theory for the online sharing economy," Review of Managerial Science, Springer, vol. 13(3), pages 635-647, June.

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