Vol. 10 No. 3 (2022): Business & Management Studies: An International Journal
Articles

Investigation of factors affecting consumers' purchase intention to refurbished products

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  • Mehmet Zahid ECEVİT,
  • Orhan DUMAN
Mehmet Zahid ECEVİT
Assist. Prof. Dr., Bandırma Onyedi Eylül University, Balıkesir, Turkiye
Orhan DUMAN
Assist. Prof. Dr., Bandırma Onyedi Eylül University, Balıkesir, Turkiye
DOI: https://doi.org/10.15295/bmij.v10i3.2098

Published 2022-09-25

Keywords

  • Yenilenmiş Ürün, Ürün Bilgisi, Çevreye Duyarlılık, Subjektif Normlar, Kalite Algısı, Risk Algısı, Satın Alma Niyeti
  • Refurbished Product, Product Knowledge, Environmental Consciousness, Subjective Norms, Quality Perception, Risk Perception, Purchase Intention

How to Cite

ECEVİT, M. Z., & DUMAN, O. (2022). Investigation of factors affecting consumers’ purchase intention to refurbished products. Business & Management Studies: An International Journal, 10(3), 997–1010. https://doi.org/10.15295/bmij.v10i3.2098

Copyright (c) 2022 Mehmet Zahid ECEVİT- Orhan DUMAN

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

With the changes in the current consumer culture and the sensitivities in businesses, it is ensured that used or damaged products are returned to the businesses and brought back to the economy with renewal efforts. Thanks to these recycling efforts, provides businesses with the opportunity to get rid of various costs that may occur for the production of new products, and consumers have the renewed product at more affordable prices. Furthermore, by bringing used or damaged products to the economy through product ingestion, possible wastes in producing new products and damage to the environment are prevented to some extent. For this reason, it can be seen that the refurbished product provides beneficial effects to the consumer with its affordable price, to the producer business by providing a new product with less cost, and to the environment by recycling the inert products. In the meantime, it is necessary to consider that consumers may have a high perception of quality and risk because the refurbished product has been damaged or used before. Therefore, this study investigates the effects of product knowledge, environmental consciousness, subjective norms, quality perception, risk perception and benefit perception on the purchase intention for the refurbished product. The questionnaire developed within the scope of this research was applied to 360 students of Bandırma Onyedi Eylül University; 292 valid questionnaires were used in the analysis. Partial least squares structural equation modelling (PLS-SEM) was preferred in testing the theoretical model and hypotheses proposed within the scope of the research. According to the research results, while the effect of product knowledge on the perception of benefit and risk was not significant, its effect on the perception of quality was found to be significant. In addition, the effect of product knowledge on purchase intention was not found significant. In our model, the factors that most affect the purchase intention were subjective norms, environmental consciousness, quality perception, benefit perception and risk perception.

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References

  1. Abbey, J. D., Kleber, R., Souza, G. C., & Voigt, G. (2017). The role of perceived quality risk in pricing remanufactured products. Production and Operations Management, 26(1), 100-11
  2. Abbey, J. D., Meloy, M. G., Blackburn, J., & Guide Jr, V. D. R. (2015). Consumer markets for remanufactured and refurbished products. California Management Review, 57(4), 26-42.
  3. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
  4. Al-masaeed, S., Abdeljaber, O., Ab Yajid, M. S., Shukri, S. M., AL-Adwan, A. S., & Tham, J. (2021). Determinants of Online Purchase Behavior of Malaysian University Student : The Mediating Role of Subjective Normas. International Journal of eBusiness and eGovernment Studies, 13(2), 223-241.
  5. Al-Swidi, A., Mohammed RafiulHuque, S., HaroonHafeez, M., & Noor MohdShariff, M. (2014).The role of subjective norms in theory of planned behavior in the context of organic food consumption. British Food Journal,116(10), 1561-1580.
  6. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411.
  7. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
  8. Chen, Y., Wang, J., & Jia, X. (2020). Refurbished or remanufactured? —An experimental study on consumer choice behavior. Frontiers in psychology, 781.
  9. de Vicente Bittar, A. (2018). Selling remanufactured products: Does consumer environmental consciousness matter?. Journal of Cleaner Production, 181, 527-536.
  10. Ferguson, M. E., & Toktay, L. B. (2006). The effect of competition on recovery strategies. Production and operations management, 15(3), 351-368.
  11. Fischer, D., Stanszus, L., Geiger, S., Grossman, P., & Schrader, U. (2017). Mindfulness and sustainable consumption: A systematic literature review of research approaches and findings. Journal of Cleaner Production, 162, 544-558.
  12. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  13. Guide, Jr, V. D. R., & Li, J. (2010). The potential for cannibalization of new products sales by remanufactured products. Decision Sciences, 41(3), 547-572.
  14. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
  15. Hair Jr, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method. European Business Review.
  16. Hazen, B. T., Boone, C. A., Wang, Y., & Khor, K. S. (2017). Perceived quality of remanufactured products: construct and measure development. Journal of Cleaner Production, 142, 716-726.
  17. Hazen, B. T., Overstreet, R. E., Jones-Farmer, L. A., & Field, H. S. (2012). The role of ambiguity tolerance in consumer perception of remanufactured products. International Journal of Production Economics, 135(2), 781-790.
  18. Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems.
  19. Iyer, P., Davari, A., & Paswan, A. (2016). Green products: Altruism, economics, price fairness and purchase intention. Social Business, 6(1), 39-64.
  20. Jiménez-Parra, B., Rubio, S., & Vicente-Molina, M. A. (2014). Key drivers in the behavior of potential consumers of remanufactured products: a study on laptops in Spain. Journal of Cleaner Production, 85, 488-496.
  21. Kabel, D., Elg, M., & Sundin, E. (2021). Factors influencing sustainable purchasing behaviour of remanufactured robotic Lawn mowers. Sustainability, 13(4), 1954.
  22. Kashif, M., Zarkada, A., & Ramayah, T. (2018). The impact of attitude, subjective norms, and perceived behavioural control on managers’ intentions to behave ethically. Total Quality Management & Business Excellence, 29(5-6), 481-501.
  23. Khor, K. S., & Hazen, B. T. (2017). Remanufactured products purchase intentions and behaviour: Evidence from Malaysia. International Journal of Production Research, 55(8), 2149-2162.
  24. Ma, L., Su, X., Wang, C., Lin, K., & Lin, M. (2017, June). Consumers' intention to purchase remanufactured electronic products: An empirical study in China. In 2017 International Conference on Service Systems and Service Management (pp. 1-6). IEEE.
  25. McLain, D. L. (2009). Evidence of the properties of an ambiguity tolerance measure: The multiple stimulus types ambiguity tolerance scale–II (MSTAT–II). Psychological Reports, 105(3), 975-988.
  26. Michaud, C., & Llerena, D. (2011). Green consumer behaviour: an experimental analysis of willingness to pay for remanufactured products. Business strategy and the Environment, 20(6), 408-420.
  27. Mugge, R., Jockin, B., & Bocken, N. (2017). How to sell refurbished smartphones? An investigation of different customer groups and appropriate incentives. Journal of Cleaner Production, 147, 284-296.
  28. Oppenheim AN (1992) Questionnaire Design, Interviewing and Attitude Measurement. Pinter, London.
  29. Ovchinnikov, A. (2011). Revenue and cost management for remanufactured products. Production and Operations Management, 20(6), 824-840.
  30. Östlin, J, Sundin, E, Björkman, M. (2008), Importance of closed-loop supply chain relationships for product remanufacturing. International Journal of Production Economics, 115(2), 336–348
  31. Rallo, J. (2019). The rise of refurbished products. Liquidity Services. (https://www. liquidityservices. com/the-rise-ofthe-refurbished-goods-market/)
  32. Rao, A. R., & Monroe, K. B. (1988). The moderating effect of prior knowledge on cue utilization in product evaluations. Journal of Consumer Research, 15(2), 253-264.
  33. Singhal, D., Tripathy, S., & Jena, S. K. (2019). Acceptance of remanufactured products in the circular economy: an empirical study in India. Management Decision.
  34. Smith, V. M., & Keoleian, G. A. (2004). The value of remanufactured engines: life‐cycle environmental and economic perspectives. Journal of Industrial Ecology, 8(1‐2), 193-221.
  35. Švecová, J. (2019). Consumer Knowledge and Young Consumer Purchase Behaviour towards Remanufactured products.
  36. Thierry, M., Salomon, M., Van Nunen, J., & Van Wassenhove, L. (1995). Strategic issues in product recovery management. California Management Review, 37(2), 114-136.
  37. Tse, T., Esposito, M., & Soufani, K. (2016). Fast‐expanding markets: The revolution of the microeconomy. Thunderbird International Business Review, 58(1), 5-11.
  38. Wang, P., & Kuah, A. T. (2018). Green marketing cradle‐to‐cradle: Remanufactured products in Asian markets. Thunderbird International Business Review, 60(5), 783-795.
  39. Wang, S., Wang, J., Yang, F., Li, J., & Song, J. (2020). Determinants of consumers’ remanufactured products purchase intentions: Evidence from China. International Journal of Production Research, 58(8), 2368-2383.
  40. Wang, S., Wang, J., Yang, F., Wang, Y., & Li, J. (2018). Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers. Business Strategy and the Environment, 27(8), 1741-1750.
  41. Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181, 460-469.
  42. Wang, Y., Hazen, B. T., & Mollenkopf, D. A. (2018). Consumer value considerations and adoption of remanufactured products in closed-loop supply chains. Industrial Management & Data Systems.
  43. Wang, Y., Wiegerinck, V., Krikke, H., & Zhang, H. (2013). Understanding the purchase intention towards remanufactured product in closed-loop supply chains: An empirical study in China. International Journal of Physical Distribution & Logistics Management.
  44. Wang, Y., Zhu, Q., Krikke, H., & Hazen, B. (2020). How product and process knowledge enable consumer switching to remanufactured laptop computers in circular economy. Technological Forecasting and Social Change, 161, 120275.
  45. Wei, S., Cheng, D., Sundin, E., & Tang, O. (2015). Motives and barriers of the remanufacturing industry in China. Journal of Cleaner Production, 94, 340-351.
  46. Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
  47. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.