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Czasopismo
2021 | 17 | nr 2 | 213-230
Tytuł artykułu

Impact of Reverse Logistics Barriers on Sustainable Firm Performance Via Reverse Logistics Practices

Warianty tytułu
Wpływ ograniczeń logistyki zwrotnej na rozwój zrównoważony przedsiębiorstwa
Języki publikacji
EN
Abstrakty
Wstęp: Wskutek wzrastającego rozwoju przemysłowego i intensyfikacji produkcji, zużywa się coraz więcej surowców, co z kolei wpływa na stan środowiska. Logistyki zwrotna (RL) to koncepcja dobrze rozwinięta w krajach rozwiniętych w stosunku do krajów rozwijających się. Wdrożenie logistyki zwrotnej jest w swojej początkowej fazie ze względu na wiele czynników ograniczających i utrudniających jej wprowadzenie. Celem pracy jest identyfikacji barier wpływających na logistykę zwrotną poprzez przegląd literatury oraz sprawdzenie wpływu tych czynników na wdrażanie praktyk logistyki zwrotnej jak również sprawdzenie czy mają one wpływ na działalność przedsiębiorstwa czy nie. Metody: Dane do badania zostały zebrane od pracowników przedsiębiorstw produkcyjnych oraz odpowiednich instytucji rządowych i poddane analizie przy zastosowaniu metody modelowania równania strukturalnego. Nowatorski model strukturalny uwzględnia w sobie wszystkie analizowane zmienne w celu oceny wpływu barier logistyki zwrotnej na rozwój zrównoważony przedsiębiorstwa. Wyniki: Badanie wykazuje, że czynniki: Infrastruktura i technologia, Finanse i ekonomia, Wiedza i doświadczenie, są czynnikami krytycznymi i mają negatywny wpływ na zaadoptowanie praktyk logistyki zwrotnej. Wdrożenie praktyk logistyki zwrotnej ma pozytywny efekt na działalność ekonomiczną i środowiskową przedsiębiorstwa.(abstrakt oryginalny)
EN
Background: Due to the industrial revolution, extensive production, more raw materials are consumed, which are enough for landfills and disturbing environmental integrity. RL is an established concept in developed countries in comparison to developing countries. RL implementation is in its infancy due to some barriers. Therefore, the purpose of this study is to identify the RL barriers through literature review and to check their effect on the adoption of RL practices and to explain either they influence the firm performance or not. Method: Data were collected from the employees of manufacturing companies and relevant government institutes and later were analyzed by using the structural equation modelling technique. A novel structural model connecting all study variables was developed to verify the impact of RL barriers on sustainable firm performance. Results: Study results show that Infrastructure & technology, Financial & economic, Knowledge & experience-based barriers are critical and negatively affect the adoption of RL practices. The adoption of RL practices has a positive effect on the company's economic and environmental performance both. Further, the mediating role of adoption of RL practices between RL barriers and firm performance was also found. Conclusion: The results of this research help to extend literature presenting that the ecological modernization and new environmental laws and regulation should be integrated with enterprises to mitigate infrastructure & technology, financial & economic and knowledge & experience related barriers by conducting proper training programs and promoting sustainability among company's top management.(original abstract)
Czasopismo
Rocznik
Tom
17
Numer
Strony
213-230
Opis fizyczny
Twórcy
  • Xi'an Jiaotong University, Xi'an, China
autor
  • Xi'an Jiaotong University, Xi'an, China,
  • Tsinghua University, Beijing, China,
autor
  • Northwestern Polytechnical University, Xi'an, China,
autor
  • Lahore Leads University, Lahore, Pakistan,
  • Tianjin University, Tanjian, China
Bibliografia
  • Abdullah, M., et al., 2016. Barriers to green innovation initiatives among manufacturers: the Malaysian case. 10(4): 683-709. http://doi.org/10.1007/s11846-015-0173-9
  • Abdulrahman, M. D., et al., 2014. Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors. International journal of production economics 147: 460-471. http://doi.org/10.1016/j.ijpe.2012.08.003
  • Agrawal, S., et al., 2016. Triple bottom line performance evaluation of reverse logistics. Competitiveness Review 26(3): 289-310. http://doi.org/10.1108/CR-04-2015-0029
  • Anne, M., et al., 2016. Reverse Logistics Practices and Their Effect on Competitiveness of Food Manufacturing Firms in Kenya. http://41.89.227.156:8080/xmlui/handle/12 3456789/524
  • Bouzon, M., et al., 2018. Evaluating barriers for reverse logistics implementation under a multiple stakeholders' perspective analysis using grey decision making approach. Resources, conservation and recycling 128: 315-335. http://doi.org/10.1016/j.resconrec.2016.11.0 22
  • Bouzon, M., et al., 2016. Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, conservation and recycling 108: 182-197. http://doi.org/10.1016/j.resconrec.2015.05.021
  • Chaudhary, K., et al., 2017. Analysis of barriers hindering the implementation of reverse supply chain of electronic waste in India. International Journal of Advanced Operations Management 9(3): 143-168. http://doi.org/10.1504/IJAOM.2017.088241
  • Cordano, M., et al., 2010. How do small and medium enterprises go "green"? A study of environmental management programs in the US wine industry. Journal of Business Ethics 92(3): 463-478. http://doi.org/10.1007/s10551-009-0168-z
  • Darnall, N., et al., 2010. Adopting proactive environmental strategy: The influence of stakeholders and firm size. Journal of management studies 47(6): 1072-1094. http://doi.org/10.1111/j.1467- 6486.2009.00873.x
  • Genovese, A., et al., 2013. Greener supplier selection: state of the art and some empirical evidence. International Journal of Production Research 51(10): 2868-2886. http://doi.org/10.1080/00207543.2012.7482 24
  • Giunipero, L. C., et al., 2012. Purchasing and supply management sustainability: Drivers and barriers. Journal of Purchasing and Supply Management 18(4): 258-269. http://doi.org/10.1016/j.pursup.2012.06.003
  • Govindan, K. and M. Bouzon, 2018. From a literature review to a multi-perspective framework for reverse logistics barriers and drivers. Journal of cleaner production. http://doi.org/10.1016/j.jclepro.2018.03.040
  • Govindan, K., et al., 2014. Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. International journal of production economics 147: 555- 568. http://doi.org/10.1016/j.ijpe.2013.08.018
  • Graham, S., et al., 2018. The relationship between downstream environmental logistics practices and performance. International journal of production economics 196: 356-365. http://doi.org/10.1016/j.ijpe.2017.12.011
  • Hair, J., et al., 2010. Multivariate Data Analysis, Secondary,Multivariate Data Analysis, Prentice-Hall.
  • Huang, Y.-C., et al., 2012. The task environment, resource commitment and reverse logistics performance: evidence from the Taiwanese high-tech sector. Production Planning & Control 23(10-11): 851-863. http://doi.org/10.1080/09537287.2011.6421 89
  • Jabbour, C. J. C., et al., 2016. Barriers to the adoption of green operational practices at Brazilian companies: effects on green and operational performance. International Journal of Production Research 54(10): 3042-3058. http://doi.org/10.1080/00207543.2016.1154 997
  • Kaufmann, L. and J. Gaeckler, 2015. A structured review of partial least squares in supply chain management research. Journal of Purchasing and Supply Management 21(4): 259-272. http://doi.org/10.1016/j.pursup.2015.04.005
  • Kaviani, M. A., et al., 2020. An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry. 272: 122714. http://doi.org/10.1016/j.jclepro.2020.12271 4
  • Lai, K.-h., et al., 2013. Did reverse logistics practices hit the triple bottom line of Chinese manufacturers?, International journal of production economics 146(1): 106-117. http://doi.org/10.1016/j.ijpe.2013.03.005
  • Phochanikorn, P., et al., 2020. Barriers analysis for reverse logistics in Thailand's palm oil industry using fuzzy multi-criteria decisionmaking method for prioritizing the solutions. 5(4): 419-436. http://doi.org/10.1007/s41066-019-00155-9
  • Rameezdeen, R., et al., 2016. A qualitative examination of major barriers in implementation of reverse logistics within the South Australian construction sector. International Journal of Construction Management 16(3): 185-196. http://doi.org/10.1080/15623599.2015.1110 275
  • Satapathy, S., 2017. An analysis of barriers for plastic recycling in the Indian plastic industry. Benchmarking: An International Journal 24(2): 415-430. http://doi.org/10.1108/BIJ-11-2014-0103
  • Subramanian, N. and M. Abdulrahman, 2017. An examination of drivers and barriers to reducing carbon emissions in China's manufacturing sector. The International Journal of Logistics Management 28(4): 1168-1195. http://doi.org/10.1108/IJLM-07-2016-0171
  • Wang, H., et al., 2019, An integrated MCDM approach considering demands-matching for reverse logistics. Journal of cleaner production 208: 199-210. http://doi.org/10.1016/j.jclepro.2018.10.131
  • Waqas, M., et al., 2018, Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country. Sustainability 10(11): 4202. http://doi.org/10.3390/su10114202
  • Waqas, M., et al., 2020, Modeling Reverse Logistics Barriers in Manufacturing Industry of Pakistan: An ISM and MICMAC Approach. 19(02): 309-341. http://doi.org/10.1142/S021968672050016 X
  • Wong, C. W., et al., 2012, Green operations and the moderating role of environmental management capability of suppliers on manufacturing firm performance. International journal of production economics 140(1): 283-294. http://doi.org/10.1142/S021968672050016 X
  • Ye, F., et al., 2013, The impact of institutional pressures, top managers' posture and reverse logistics on performance- Evidence from China. International journal of production economics 143(1): 132-143. http://doi.org/10.1142/S021968672050016 X
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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