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Unveiling environmental decision-making logic: the joint impact of affective and deliberative information processing mechanisms

  • Xiaoli Guo
  • , Weili Xia
  • , Taiwen Feng
  • , Yunhui Zhao*
  • , Zhilei Xu
  • *Corresponding author for this work
  • Northwestern Polytechnical University Xian
  • School of Economics and Management, Harbin Institute of Technology Weihai
  • Inner Mongolia University of Finance and Economics
  • Industrial Development Promotion Center of Weifang Development and Reform Commission

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose – Although many antecedents of influencing decision-making have garnered significant attention, research about decision-making logic in the environmental management field is still rare. According to dual-process approaches, we explore the configurations driving firms’ environmental decision-making logic by considering affective and deliberative information processing mechanisms. Design/methodology/approach – To investigate the configurations, we utilized fuzzy-set qualitative comparative analysis (fsQCA) methods and data from 329 Chinese manufacturing firms. Findings – We identify three configurational patterns driving firms’ causation logic (CL), i.e. deliberative, integrative and balanced information processing mechanisms. We also identify one configurational pattern driving firms’ effectuation logic (EL): cautious information processing mechanism. Moreover, we reveal causal asymmetry for both CL and EL. Originality/value – This study extends decision-making studies by introducing decision-making logic into the environmental context, and reveals the configurations of strategic and emotional factors that drive environmental decision-making logic.

Original languageEnglish
Pages (from-to)1-23
Number of pages23
JournalJournal of Manufacturing Technology Management
DOIs
StateAccepted/In press - 2025
Externally publishedYes

Keywords

  • Configuration
  • Environmental decision-making logic
  • Environmental passion
  • Information processing mechanisms
  • Sustainability orientation

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