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Generative-AI and sustainable innovation among artisanal firms in the extractive industry: does evolutionary sense-making and pro-environmental behavior matter?
16 references·0 citing·49 second hop
Generative-AI and sustainable innovation among artisanal firms in the extractive industry: does evolutionary sense-making and pro-environmental behavior matter? 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References

  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.84,999 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology75,250 cited
  • 1970Determining Sample Size for Research Activities22,093 cited
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  • 2014Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers2,309 cited
  • 2018Partial least squares structural equation modeling in HRM research2,117 cited
  • 2014Sample size for pre-tests of questionnaires764 cited
  • 2021Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context257 cited
  • 2024The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry145 cited
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  • 2023Navigating the digital landscape: examining the interdependencies of digital transformation and big data in driving SMEs' innovation performance74 cited
  • 2024Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector58 cited
  • 2024How AI Impacts Companies’ Dynamic Capabilities

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46 cited
  • 2024Artificial intelligence and work transformations: integrating sensemaking and workplace learning perspectives44 cited
  • 2023Employee sensemaking in organizational change via knowledge management: leadership role as a moderator40 cited
  • 2023Impact of environmental CSR on firm’s environmental performance, mediating role of corporate image and pro-environmental behavior37 cited
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