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How to Shape the Employees’ Organization Sustainable Green Knowledge Sharing: Cross-Level Effect of Green Organizational Identity Effect on Green Management Behavior and Performance of Members

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  • Tai-Wei Chang

    (Graduate School of Resources Management and Decision Science College, National Defense University, Taipei City 112, Taiwan)

  • Cheng-Ze Hung

    (Department of Management, Air Force Institute of Technology, Kaohsiung County 82047, Taiwan)

Abstract

In a period of rapid information development and response to the impact of environmentalism on the company, how to effectively promote organizational members embracing knowledge sharing behavior through knowledge management will be an important issue in corporate green management. This article proposes a new integrated multi-level research framework based on organizational identity theory and psychological ownership theory to further analyze enterprise green management. Utilizing the data of 73 supervisors and 583 subordinates in Taiwan’s small- or medium-sized enterprises, results of the hierarchical linear modeling (HLM) analysis revealed that green group identification at the team level affects organizational members in terms of green product psychological ownership and green knowledge sharing as well as how green knowledge sharing, green creativity, and green product development performance are influenced when members get their green product psychological ownership. The results of the study validate the antecedents and consequences of green knowledge sharing and broaden the field of knowledge management for green management related to environmental behavior and performance, aside from providing valuable insights for relevant practitioners.

Suggested Citation

  • Tai-Wei Chang & Cheng-Ze Hung, 2021. "How to Shape the Employees’ Organization Sustainable Green Knowledge Sharing: Cross-Level Effect of Green Organizational Identity Effect on Green Management Behavior and Performance of Members," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:626-:d:478239
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    Cited by:

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    3. Syed Abdul Rehman Khan & Manoj Mathew & P. D. D. Dominic & Muhammad Umar, 2022. "Evaluation and selection strategy for green supply chain using interval-valued q-rung orthopair fuzzy combinative distance-based assessment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10633-10665, September.
    4. Xingwei Li & Jinrong He & Yicheng Huang & Jingru Li & Xiang Liu & Jiachi Dai, 2022. "Predicting the factors influencing construction enterprises’ adoption of green development behaviors using artificial neural network," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    5. Xiaoxing Zhang & Changyuan Gao & Shuchen Zhang, 2021. "Research on the Knowledge-Sharing Incentive of the Cross-Boundary Alliance Symbiotic System," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    6. Stanley Y. B. Huang & Shih-Chin Lee & Yue-Shi Lee, 2021. "Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model," Mathematics, MDPI, vol. 9(16), pages 1-9, August.

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