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Examining the Moderating Effect of Green Product Knowledge on Green Product Advertising and Green Product Purchase Intention: A Study Using SmartPLS SEM Approach

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  • Anu Sayal

    (Taylor's University, Malaysia)

  • Mayank Pant

    (Graphic Era Hill University, Dehradun, India)

Abstract

Green products are essential for future and present generations, as they are safe for the environment and once disposed will easily get recycled. The world has recognised this fact and there has been lot of research on this as it is the future. The present study is an attempt to understand how much of knowledge about green products and its association with green product advertising leads to green product purchase, and how much of knowledge and attitude effect purchase intension. Prior research on this model has been conducted by Dr Suki, entitled “Green product purchase intention: impact of green brands, attitude, and knowledge,” in Malaysia, this research focuses on consumers of Uttarakhand in India. Results were similar except the moderating effect was not significant in prior research, but this research revealed that moderating effect was statistically significant.

Suggested Citation

  • Anu Sayal & Mayank Pant, 2022. "Examining the Moderating Effect of Green Product Knowledge on Green Product Advertising and Green Product Purchase Intention: A Study Using SmartPLS SEM Approach," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(1), pages 1-16, January.
  • Handle: RePEc:igg:jabim0:v:13:y:2022:i:1:p:1-16
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    References listed on IDEAS

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    1. Janow, Merit E. & Mavroidis, Petros C., 2019. "Digital Trade, E-Commerce, the WTO and Regional Frameworks," World Trade Review, Cambridge University Press, vol. 18(S1), pages 1-7, April.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    4. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    5. Abeliansky, Ana L. & Hilbert, Martin, 2017. "Digital technology and international trade: Is it the quantity of subscriptions or the quality of data speed that matters?," Telecommunications Policy, Elsevier, vol. 41(1), pages 35-48.
    6. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    7. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
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