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From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature

Author

Listed:
  • Adasa Nkrumah Kofi Frimpong

    (University of Electronic Science and Technology of China)

  • Ping Li

    (University of Electronic Science and Technology of China)

  • Millicent Amoah

    (University of Electronic Science and Technology of China)

  • Md Altab Hossin

    (University of Electronic Science and Technology of China)

Abstract

Studies on literature review (LR) methodology appear scant. Researchers have outlined common challenges associated with the LR process. Traditionally, conducting a LR entails paraphrasing existing studies. Researchers have failed to address the emergent nature of literature and how to deal with this challenge effectively. We analyzed the challenges of conducting a LR of published articles. Also, we collected data from postgraduate students in China. Using the five-level Qualitative Data Analysis and the learning heuristics of the translation process, we matched the units of analytical tasks of the LR at the strategy level to their selected and constructed components at the tactics level. A post-test analysis shows that this model explains 72% of the variance in the new strategy .

Suggested Citation

  • Adasa Nkrumah Kofi Frimpong & Ping Li & Millicent Amoah & Md Altab Hossin, 2021. "From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1419-1455, August.
  • Handle: RePEc:spr:qualqt:v:55:y:2021:i:4:d:10.1007_s11135-020-01065-8
    DOI: 10.1007/s11135-020-01065-8
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    References listed on IDEAS

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    1. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    2. Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
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