Skip to main content

Advertisement

Log in

Assessing drivers of post-harvest losses: tangible and intangible resources’ perspective

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Many stakeholders in agro-food industry are concerned about sustainability, especially in addressing post-harvest loss (PHL). However, resources available to various supply chain stakeholders such as in the raw cashew nuts (RCNs) supply network to address PHL remain a challenge. The extant literature on PHL has limited intricate insight into its drivers from the perspective of resources. This paper, focusing on RCNs supply network, systematically identifies and analyzes critical drivers that influence PHL guided by tangible and intangible resources’ perspective. Fuzzy-Decision Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) methodology was employed to analyze and convert an experts’ judgment into quantifiable data to establish the causal relationship among the drivers. The findings reveal that urgent and short-term attention to address PHL in the RCNs supply network should be given to the primary tangible driver of lack/insufficient proper packaging materials. Furthermore, in medium-term strategies, RCNs suppliers and government agencies in-charge of agriculture and industry bodies need to surmount three key cause drivers consisting of premature/green harvesting of cashew nuts, financial and economic constraints and lack of appropriate storage facility. In addition, drivers such as insufficient/lack of management support and commitment and lack of information dissemination on PHL within RCNs suppliers should be addressed in the long term. The study provides a framework for supply chain managers and policymakers to understand the interrelationship among PHL drivers from a resource perspective to enable the implementation of strategies that address PHL.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • ACA (2015). African cashew alliance annual report. [WWW Document]. URL: Retrieved June 6 2020 http://www.africancashewalliance.com/sites/default/files/documents/aca-annual-report-2015-web_version.pdf

  • ACA (2016). African cashew alliance annual report. [WWW Document]. URL. Retrieved January 11 2020. http://www.africancashewalliance.com/sites/default/files/documents/aca-annual-report-2015-web_version.pdf

  • ACA (,2020). Retrieved January 11 2021 https://www.africancashewalliance.com/en/news-and-info/blog/cashew-council-ghana-launched-techiman

  • Ackah, N. B., Ampadu-Ameyaw, R., Appiah, A. H. K., Annan, T., & Amoo-Gyasi, M. (2020). Awareness of market potentials and utilization of cashew fruit: perspectives of cashew farmers in the Brong Ahafo region of Ghana. Journal of Scientific Research and Reports. https://doi.org/10.9734/jsrr/2020/v26i330232

    Article  Google Scholar 

  • Affognon, H., Mutungi, C., Sanginga, P., & Borgemeister, C. (2015). Unpacking postharvest losses in sub-Saharan Africa: a meta-analysis. World Development, 66, 49–68.

    Article  Google Scholar 

  • Agyemang, M., Kusi-Sarpong, S., Agyemang, J., Jia, F., & Adzanyo, M. (2020). Determining and evaluating socially sustainable supply chain criteria in agri-sector of developing countries: Insights from West Africa cashew industry. Production Planning and Control. https://doi.org/10.1080/09537287.2020.1852479

    Article  Google Scholar 

  • Agyemang, M., Zhu, Q., Adzanyo, M., Antarciuc, E., & Zhao, S. (2018). Evaluating barriers to green supply chain redesign and implementation of related practices in the West Africa cashew industry. Resources, Conservation and Recycling, 136, 209–222. https://doi.org/10.1016/j.resconrec.2018.04.011

    Article  Google Scholar 

  • Agyemang, M., Zhu, Q., & Tian, Y. (2016). Analysis of opportunities for greenhouse emission reduction in the global supply chains of cashew industry in West Africa. Journal of Cleaner Production, 115, 149–161. https://doi.org/10.1016/j.jclepro.2015.12.059

    Article  Google Scholar 

  • Alexander, P., Brown, C., Arneth, A., Finnigan, J., Moran, D., & Rounsevell, M. D. (2017). Losses, inefficiencies and waste in the global food system. Agricultural Systems, 153, 190–200.

    Article  Google Scholar 

  • Arias Bustos, C., & Moors, E. H. M. (2018). Reducing post-harvest food losses through innovative collaboration: insights from the Colombian and Mexican avocado supply chains. Journal of Cleaner Production, 199, 1020–1034. https://doi.org/10.1016/j.jclepro.2018.06.187

    Article  Google Scholar 

  • Arumugam, A., & Ponnusami, V. (2015). Ethanol production from cashew apple juice using immobilized saccharomyces cerevisiae cells on silica gel matrix synthesized from sugarcane leaf ash. Chemical Engineering Communications, 202(6), 709–717.

    Article  CAS  Google Scholar 

  • Asan, U., Kadaifci, C., Bozdag, E., Soyer, A., & Serdarasan, S. (2018). A new approach to DEMATEL based on interval-valued hesitant fuzzy sets. Applied Soft Computing, 66, 34–49. https://doi.org/10.1016/j.asoc.2018.01.018

    Article  Google Scholar 

  • Ayomide, O. B., Ajayi, O. O., & Ajayi, A. A. (2019) Advances in the development of a tomato postharvest storage system: Towards eradicating postharvest losses. In: Journal of Physics: Conference Series, (2 ed., Vol. 1378). https://doi.org/10.1088/1742-6596/1378/2/022064.

  • Bacudio, L. R., Benjamin, M. F. D., Eusebio, R. C. P., Holaysan, S. A. K., Promentilla, M. A. B., Yu, K. D. S., et al. (2016). Analyzing barriers to implementing industrial symbiosis networks using DEMATEL. Sustainable Production and Consumption, 7, 57–65. https://doi.org/10.1016/j.spc.2016.03.001

    Article  Google Scholar 

  • Bakir, S., Khan, S., Ahsan, K., & Rahman, S. (2018). Exploring the critical determinants of environmentally oriented public procurement using the DEMATEL method. Journal of Environmental Management, 225, 325–335. https://doi.org/10.1016/j.jenvman.2018.07.081

    Article  Google Scholar 

  • Bannor, R. K., Oppong-Kyeremeh, H., Abele, S., Tutu, F. O., Kyire, S. K. C., & Agyina, D. (2020). Seedling production and choice among cashew farmers in Ghana: a profitability analysis. World Journal of Entrepreneurship, Management and Sustainable Development. https://doi.org/10.1108/WJEMSD-11-2019-0089

    Article  Google Scholar 

  • Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

    Article  Google Scholar 

  • Barney, J., Wright, M., & Ketchen, D. J., Jr. (2001). The resource-based view of the firm Ten years after 1991. Journal of Management, 27(6), 625–641. https://doi.org/10.1016/S0149-2063(01)00114-3

    Article  Google Scholar 

  • Bendinelli, W. E., Su, C. T., Péra, T. G., & Caixeta Filho, J. V. (2019). What are the main factors that determine post-harvest losses of grains? Sustainable Production and Consumption. https://doi.org/10.1016/j.spc.2019.09.002

    Article  Google Scholar 

  • Berry, A. D., & Sargent, S. A. (2011). 19 - Cashew apple and nut (Anacardium occidentale L.). In E. M. Yahia (Ed.), Postharvest biology and technology of tropical and subtropical fruits (pp. 414–423e). Cambridge: Woodhead Publishing.

    Chapter  Google Scholar 

  • Bhalaji, R. K. A., Bathrinath, S., Ponnambalam, S. G., & Saravanasankar, S. (2019). A fuzzy decision-making trial and evaluation laboratory approach to analyse risk factors related to environmental health and safety aspects in the healthcare industry. Sadhana - Academy Proceedings in Engineering Sciences. https://doi.org/10.1007/s12046-018-1050-4

    Article  Google Scholar 

  • Bianchi, P. (2017). The economic importance of intangible assets. London: Routledge.

    Book  Google Scholar 

  • Boafo, J., Appiah, D. O., & Tindan, P. D. (2019). Drivers of export-led agriculture in Ghana: The case of emerging cashew production in Ghana’s Brong Ahafo Region. Australasian Review of African Studies, 40(1), 31.

    Article  Google Scholar 

  • Bradford, K. J., Dahal, P., Van Asbrouck, J., Kunusoth, K., Bello, P., Thompson, J., et al. (2018). The dry chain: Reducing postharvest losses and improving food safety in humid climates. Trendsin Food Science and Technology, 71, 84–93. https://doi.org/10.1016/j.tifs.2017.11.002

    Article  CAS  Google Scholar 

  • Brito De Figueirêdo, M. C., Potting, J., Lopes Serrano, L. A., Bezerra, M. A., Da Silva Barros, V., Gondim, R. S., et al. (2016). Environmental assessment of tropical perennial crops: The case of the Brazilian cashew. Journal of Cleaner Production, 112, 131–140. https://doi.org/10.1016/j.jclepro.2015.05.134

    Article  Google Scholar 

  • Cardoen, D., Joshi, P., Diels, L., Sarma, P. M., & Pant, D. (2015). Agriculture biomass in India: part 2. Post-harvest losses, cost and environmental impacts. Resources, Conservation and Recycling, 101, 143–153. https://doi.org/10.1016/j.resconrec.2015.06.002

    Article  Google Scholar 

  • Chang, B., Chang, C. W., & Wu, C. H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850–1858. https://doi.org/10.1016/j.eswa.2010.07.114

    Article  Google Scholar 

  • Chen, D., Faibil, D., & Agyemang, M. (2020). Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and fuzzy TOPSIS approach. Environmental Science and Pollution Research, 27, 1–24.

    Article  CAS  Google Scholar 

  • Chhipi-Shrestha, G., Rodriguez, M., & Sadiq, R. (2019). Selection of sustainable municipal water reuse applications by multi-stakeholders using game theory. Science of the Total Environment, 650, 2512–2526. https://doi.org/10.1016/j.scitotenv.2018.09.359

    Article  CAS  Google Scholar 

  • Chung, E.-S., & Kim, Y. (2014). Development of fuzzy multi-criteria approach to prioritize locations of treated wastewater use considering climate change scenarios. Journal of Environmental Management, 146, 505–516. https://doi.org/10.1016/j.jenvman.2014.08.013

    Article  Google Scholar 

  • Chung, E.-S., & Lee, K. S. (2009). Prioritization of water management for sustainability using hydrologic simulation model and multicriteria decision making techniques. Journal of Environmental Management, 90(3), 1502–1511. https://doi.org/10.1016/j.jenvman.2008.10.008

    Article  Google Scholar 

  • Coates, T. T., & McDermott, C. M. (2002). An exploratory analysis of new competencies: a resource based view perspective. Journal of Operations Management, 20(5), 435–450. https://doi.org/10.1016/S0272-6963(02)00023-2

    Article  Google Scholar 

  • Cui, L., Chan, H. K., Zhou, Y., Dai, J., & Lim, J. J. (2019). Exploring critical factors of green business failure based on grey-decision making trial and evaluation laboratory (DEMATEL). Journal of Business Research, 98, 450–461.

    Article  Google Scholar 

  • Dadzie, A., Adu-Gyamfi, P., Akpertey, A., Ofori, A., Opoku, S., Yeboah, J., et al. (2020). Assessment of juvenile growth and yield relationship among dwarf cashew types in Ghana. Journal of Agricultural Science, 12(10), 116.

    Article  Google Scholar 

  • Das, D. (2018). The impact of sustainable supply chain management practices on firm performance: lessons from Indian organizations. Journal of Cleaner Production, 203, 179–196. https://doi.org/10.1016/j.jclepro.2018.08.250

    Article  Google Scholar 

  • Das, I., & Arora, A. (2017). Post-harvest processing technology for cashew apple – A review. Journal of Food Engineering, 194, 87–98. https://doi.org/10.1016/j.jfoodeng.2016.09.011

    Article  CAS  Google Scholar 

  • de Figueirêdo, M. C. B., Potting, J., Serrano, L. A. L., Bezerra, M. A., da Silva Barros, V., Gondim, R. S., et al. (2016). Environmental assessment of tropical perennial crops: The case of the Brazilian cashew. Journal of Cleaner Production, 112, 131–140.

    Article  Google Scholar 

  • De Marchi, V., Di Maria, E., & Micelli, S. (2013). Environmental strategies, upgrading and competitive advantage in global value chains. Business Strategy and the Environment, 22(1), 62–72. https://doi.org/10.1002/bse.1738

    Article  Google Scholar 

  • De Moraes, C. C., & De Souza, T. A. (2018). World scenario on food waste and loss within agrofood supply chains. Revista em Agronegocio e Meio Ambiente, 11(3), 901–924. https://doi.org/10.17765/2176-9168.2018v11n3p901-924

    Article  Google Scholar 

  • De Steur, H., Wesana, J., Dora, M. K., Pearce, D., & Gellynck, X. (2016). Applying value stream mapping to reduce food losses and wastes in supply chains: A systematic review. Waste Management, 58, 359–368.

    Article  Google Scholar 

  • Dendena, B., & Corsi, S. (2014). Cashew, from seed to market: a review. Agronomy for Sustainable Development, 34(4), 753–772. https://doi.org/10.1007/s13593-014-0240-7

    Article  Google Scholar 

  • Dubbert, C. (2019). Participation in contract farming and farm performance: Insights from cashew farmers in Ghana. Agricultural Economics, 50(6), 749–763.

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., & Samar Ali, S. (2015). Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain. International Journal of Production Economics, 160, 120–132. https://doi.org/10.1016/j.ijpe.2014.10.001

    Article  Google Scholar 

  • Ellis, E., Kwofie, E. M., & Ngadi, M. (2020). Economic and nutritional implications of losses and contributing factors along the bean value chain. Journal of Stored Products Research, 87, 101582. https://doi.org/10.1016/j.jspr.2020.101582

    Article  Google Scholar 

  • Fabbri, S., Olsen, S. I., & Owsianiak, M. (2018). Improving environmental performance of post-harvest supply chains of fruits and vegetables in Europe: Potential contribution from ultrasonic humidification. Journal of Cleaner Production, 182, 16–26. https://doi.org/10.1016/j.jclepro.2018.01.157

    Article  Google Scholar 

  • FAO (2018). The food and agriculture organization, annual report, Retrieved October 10, 2020 from http://www.fao.org/ghana/fao-in-ghana/ghana-at-a-glance/en/

  • Feng, C., & Ma, R. (2020). Identification of the factors that influence service innovation in manufacturing enterprises by using the fuzzy DEMATEL method. Journal of Cleaner Production, 253, 120002. https://doi.org/10.1016/j.jclepro.2020.120002

    Article  Google Scholar 

  • Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL (pp. 1–8). Battelle Geneva Research Center.

  • Gardas, B. B., Raut, R. D., Cheikhrouhou, N., & Narkhede, B. E. (2019). A hybrid decision support system for analyzing challenges of the agricultural supply chain. Sustainable Production and Consumption, 18, 19–32. https://doi.org/10.1016/j.spc.2018.11.007

    Article  Google Scholar 

  • Gardas, B. B., Raut, R. D., & Narkhede, B. (2017). Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective. Renewable and Sustainable Energy Reviews, 80, 1355–1371. https://doi.org/10.1016/j.rser.2017.05.259

    Article  Google Scholar 

  • Gardas, B. B., Raut, R. D., & Narkhede, B. (2018). Evaluating critical causal factors for post-harvest losses (PHL) in the fruit and vegetables supply chain in India using the DEMATEL approach. Journal of Cleaner Production, 199, 47–61. https://doi.org/10.1016/j.jclepro.2018.07.153

    Article  Google Scholar 

  • Giunipero, L. C., Hooker, R. E., & Denslow, D. (2012). Purchasing and supply management sustainability: Drivers and barriers. Journal of Purchasing and Supply Management, 18(4), 258–269. https://doi.org/10.1016/j.pursup.2012.06.003

    Article  Google Scholar 

  • Gokarn, S., & Kuthambalayan, T. S. (2017). Analysis of challenges inhibiting the reduction of waste in food supply chain. Journal of Cleaner Production, 168, 595–604. https://doi.org/10.1016/j.jclepro.2017.09.028

    Article  Google Scholar 

  • Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207–7220. https://doi.org/10.1016/j.eswa.2015.04.030

    Article  Google Scholar 

  • Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114–135. https://doi.org/10.2307/41166664

    Article  Google Scholar 

  • Gu, Q., Jiang, W., & Wang, G. G. (2016). Effects of external and internal sources on innovation performance in Chinese high-tech SMEs: A resource-based perspective. Journal of Engineering and Technology Management, 40, 76–86.

    Article  Google Scholar 

  • Gyedu-Akoto, E., Lowor, S. T., Assuah, M., Kumi, W., & Dwomoh, E. A. (2014). Assessment of post-harvest handling effects on quality of cashew nuts and kernels in Ghana. Journal of Scientific Research and Reports, 3, 953–965.

    Article  Google Scholar 

  • hasith Priyashantha, A., Krishanthiny, K., & Mahendranathan, C. (2020). Pre and Post-Harvest Losses of Cashew (Anacardium occidentale L.) In Batticaloa District, Sri Lanka; Preliminary Investigation of the Causes. Pre and Post-Harvest Losses of Cashew (Anacardium occidentale L.) In Batticaloa District, Sri Lanka; Preliminary Investigation of the Causes, 43(1): 8–8.

  • He, J., Nazari, M., Zhang, Y., & Cai, N. (2020). Opportunity-based entrepreneurship and environmental quality of sustainable development: A resource and institutional perspective. Journal of Cleaner Production, 256, 120390. https://doi.org/10.1016/j.jclepro.2020.120390

    Article  Google Scholar 

  • Hendiani, S., Sharifi, E., Bagherpour, M., & Ghannadpour, S. F. (2019). A multi-criteria sustainability assessment approach for energy systems using sustainability triple bottom line attributes and linguistic preferences. Environment, Development and Sustainability,. https://doi.org/10.1007/s10668-019-00546-7

    Article  Google Scholar 

  • Hodges, R. J., Buzby, J. C., & Bennett, B. (2011). Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use. The Journal of Agricultural Science, 149(S1), 37–45.

    Article  Google Scholar 

  • Honfoga, B., Dossou, J., Agboton, S., Sommer, H., & Wallace, S. (2016). Determinants of cashew growers’ participation in a joint contract farming-and-processing investment project in Benin. Journal of Experimental Agriculture International, 14, 1–15.

    Article  Google Scholar 

  • Hsiao, Y.-H., Chen, M.-C., & Chin, C.-L. (2017). Distribution planning for perishable foods in cold chains with quality concerns: Formulation and solution procedure. Trends in Food Science and Technology, 61, 80–93. https://doi.org/10.1016/j.tifs.2016.11.016

    Article  CAS  Google Scholar 

  • Hwang, B.-G., Zhu, L., & Tan, J. S. H. (2017). Green business park project management: Barriers and solutions for sustainable development. Journal of Cleaner Production, 153, 209–219.

    Article  Google Scholar 

  • James, A., & Zikankuba, V. (2017). Postharvest management of fruits and vegetable: A potential for reducing poverty, hidden hunger and malnutrition in sub-Sahara Africa. Cogent Food and Agriculture, 3(1), 1312052.

    Article  Google Scholar 

  • Jardón, C. F., Molodchik, M., & Paklina, S. (2018). Strategic behaviour of Russian companies with regard to intangibles. Management decision, 56(11), 2373–2390. https://doi.org/10.1108/MD-04-2017-0399

    Article  Google Scholar 

  • Jeng, D.J.-F. (2015). Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique. Computers and Industrial Engineering, 87, 283–295. https://doi.org/10.1016/j.cie.2015.05.007

    Article  Google Scholar 

  • Jensen, J. A., Cobbs, J. B., & Turner, B. A. (2016). Evaluating sponsorship through the lens of the resource-based view: The potential for sustained competitive advantage. Business Horizons, 59(2), 163–173. https://doi.org/10.1016/j.bushor.2015.11.001

    Article  Google Scholar 

  • Joshi, P., & Visvanathan, C. (2019). Sustainable management practices of food waste in Asia: Technological and policy drivers. Journal of Environmental Management, 247, 538–550. https://doi.org/10.1016/j.jenvman.2019.06.079

    Article  Google Scholar 

  • Kaminski, J., & Christiaensen, L. (2014). Post-harvest loss in sub-Saharan Africa—what do farmers say? Global Food Security, 3(3), 149–158. https://doi.org/10.1016/j.gfs.2014.10.002

    Article  Google Scholar 

  • Karuppiah, K., Sankaranarayanan, B., Ali, S. M., Chowdhury, P., & Paul, S. K. (2020). An integrated approach to modeling the barriers in implementing green manufacturing practices in SMEs. Journal of cleaner production. https://doi.org/10.1016/j.jclepro.2020.121737

    Article  Google Scholar 

  • Kasso, M., & Bekele, A. (2018). Post-harvest loss and quality deterioration of horticultural crops in Dire Dawa Region, Ethiopia. Journal of the Saudi Society of Agricultural Sciences, 17(1), 88–96.

    Article  Google Scholar 

  • Kikulwe, E. M., Okurut, S., Ajambo, S., Nowakunda, K., Stoian, D., & Naziri, D. (2018). Postharvest losses and their determinants: A challenge to creating a sustainable cooking banana value chain in Uganda. Sustainability, 10(7), 2381.

    Article  Google Scholar 

  • Kukar, M., Vračar, P., Košir, D., Pevec, D., & Bosnić, Z. (2019). AgroDSS: A decision support system for agriculture and farming. Computers and Electronics in Agriculture, 161, 260–271.

    Article  Google Scholar 

  • Kumar, D., & Kalita, P. (2017). Reducing postharvest losses during storage of grain crops to strengthen food security in developing countries. Foods, 6(1), 8.

    Article  Google Scholar 

  • Kusi-Sarpong, S., Sarkis, J., & Wang, X. (2016). Green supply chain practices and performance in Ghana’s mining industry: a comparative evaluation based on DEMATEL and AHP. IJBPSCM, 8(4), 320–347.

    Article  Google Scholar 

  • Lamboni, Y., Frisvad, J. C., Hell, K., Linnemann, A. R., Nout, R. M. J., Tamo, M., et al. (2016). Occurrence of Aspergillus section Flavi and section Nigri and aflatoxins in raw cashew kernels (Anacardium occidentale L.) from Benin. LWT - Food Science and Technology, 70, 71–77. https://doi.org/10.1016/j.lwt.2016.02.017

    Article  CAS  Google Scholar 

  • Lamidi, R. O., Jiang, L., Wang, Y., Pathare, P. B., Aguilar, M. C., Wang, R., et al. (2019). Techno-economic analysis of a cogeneration system for post-harvest loss reduction: A case study in sub-Saharan rural community. Energies. https://doi.org/10.3390/en12050872

    Article  Google Scholar 

  • Lin, K. P., Tseng, M. L., & Pai, P. F. (2018). Sustainable supply chain management using approximate fuzzy DEMATEL method. Resources, Conservation and Recycling, 128, 134–142. https://doi.org/10.1016/j.resconrec.2016.11.017

    Article  Google Scholar 

  • Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32–39. https://doi.org/10.1016/j.jclepro.2011.06.010

    Article  CAS  Google Scholar 

  • Liu, Z., Ming, X., & Song, W. (2019). A framework integrating interval-valued hesitant fuzzy DEMATEL method to capture and evaluate co-creative value propositions for smart PSS. Journal of Cleaner Production, 215, 611–625. https://doi.org/10.1016/j.jclepro.2019.01.089

    Article  Google Scholar 

  • Lonial, S. C., & Carter, R. E. (2015). The impact of organizational orientations on medium and small firm performance: A resource-based perspective. Journal of Small Business Management, 53(1), 94–113.

    Article  Google Scholar 

  • Lu, S., Liu, X., Xue, L., Tang, Z., Liu, G., & Cheng, G. (2019). Addressing the losses and waste of Chinese rice supply chain: Sources, drivers and mitigation strategies. Scientia Agricultura Sinica, 52(18), 3134–3144. https://doi.org/10.3864/j.issn.0578-1752.2019.18.006

    Article  Google Scholar 

  • Macheka, L., Spelt, E., van der Vorst, J. G. A. J., & Luning, P. A. (2017). Exploration of logistics and quality control activities in view of context characteristics and postharvest losses in fresh produce chains: A case study for tomatoes. Food Control, 77, 221–234. https://doi.org/10.1016/j.foodcont.2017.02.037

    Article  Google Scholar 

  • Mangla, S. K., Luthra, S., Rich, N., Kumar, D., Rana, N. P., & Dwivedi, Y. K. (2018). Enablers to implement sustainable initiatives in agri-food supply chains. International Journal of Production Economics, 203, 379–393. https://doi.org/10.1016/j.ijpe.2018.07.012

    Article  Google Scholar 

  • Manikas, A. S., Patel, P. C., & Oghazi, P. (2019). Dynamic capital asset accumulation and value of intangible assets: An operations management perspective. Journal of Business Research, 103, 119–129.

    Article  Google Scholar 

  • Mapfeka, R. F., Mandumbu, R., Zengeza, T., Kamota, A., Masamha, B., Marongwe, F. D., et al. (2019). Post-harvest cereal structures and climate change resilience in rural Zimbabwe: A review. International Journal of Postharvest Technology and Innovation, 6(4), 239–256. https://doi.org/10.1504/IJPTI.2019.106460

    Article  Google Scholar 

  • Masarirambi, M. T., Mavuso, V., Songwe, V. D., Nkambule, T. P., & Mhazo, N. (2010). Indigenous post-harvest handling and processing of traditional vegetables in Swaziland: A review. African Journal of Agricultural Research, 5(24), 3333–3341.

    Google Scholar 

  • Minten, B., Tamru, S., & Reardon, T. (2020). Post-harvest losses in rural-urban value chains: Evidence from Ethiopia. Food Policy. https://doi.org/10.1016/j.foodpol.2020.101860

    Article  Google Scholar 

  • Mithun Ali, S., Moktadir, M. A., Kabir, G., Chakma, J., Rumi, M. J. U., & Islam, M. T. (2019). Framework for evaluating risks in food supply chain: Implications in food wastage reduction. Journal of cleaner production, 228, 786–800. https://doi.org/10.1016/j.jclepro.2019.04.322

    Article  Google Scholar 

  • Molloy, J. C., Chadwick, C., Ployhart, R. E., & Golden, S. J. (2011). Making intangibles “tangible” in tests of resource-based theory: A multidisciplinary construct validation approach. Journal of Management, 37(5), 1496–1518.

    Article  Google Scholar 

  • Moreira, L. S., Chagas, B. C., Pacheco, C. S. V., Santos, H. M., de Menezes, L. H. S., Nascimento, M. M., et al. (2019). Development of procedure for sample preparation of cashew nuts using mixture design and evaluation of nutrient profiles by Kohonen neural network. Food Chemistry, 273, 136–143. https://doi.org/10.1016/j.foodchem.2018.01.050

    Article  CAS  Google Scholar 

  • Muhammad, M. N., & Cavus, N. (2017). Fuzzy DEMATEL method for identifying LMS evaluation criteria. Procedia Computer Science, 120, 742–749. https://doi.org/10.1016/j.procs.2017.11.304

    Article  Google Scholar 

  • Mujuka, E., Mburu, J., Ogutu, A., & Ambuko, J. (2020). Returns to investment in postharvest loss reduction technologies among mango farmers in Embu County, Kenya. Food and Energy Security, 9(1), e195.

    Article  Google Scholar 

  • Munesue, Y., Masui, T., & Fushima, T. (2015). The effects of reducing food losses and food waste on global food insecurity, natural resources, and greenhouse gas emissions. Environmental Economics and Policy Studies, 17(1), 43–77. https://doi.org/10.1007/s10018-014-0083-0

    Article  Google Scholar 

  • Munny, A. A., Ali, S. M., Kabir, G., Moktadir, M. A., Rahman, T., & Mahtab, Z. (2019). Enablers of social sustainability in the supply chain: An example of footwear industry from an emerging economy. Sustainable Production and Consumption, 20, 230–242. https://doi.org/10.1016/j.spc.2019.07.003

    Article  Google Scholar 

  • Murthy, D. S., Gajanana, T., Sudha, M., & Dakshinamoorthy, V. (2009). Marketing and post-harvest losses in fruits: Its implications on availability and economy. Indian Journal of Agricultural Economics, 64(2), 1–17.

  • Ocampo, L. A. (2019). Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production. Environment, Development and Sustainability, 21(5), 2225–2251. https://doi.org/10.1007/s10668-018-0129-8

    Article  Google Scholar 

  • Ogunsina, B. S., & Bamgboye, A. I. (2014). Pre-shelling parameters and conditions that influence the whole kernel out-turn of steam-boiled cashew nuts. Journal of the Saudi Society of Agricultural Sciences, 13(1), 29–34.

    Article  Google Scholar 

  • Opricovic, S., & Tzeng, G.-H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(05), 635–652.

    Article  Google Scholar 

  • Palei, S., Dasmohapatra, R., Samal, S., & Rout, G. R. (2019). Cashew nut (Anacardium occidentale L.) breeding strategies. In J. Al-Khayri, S. Jain, & D. Johnson (Eds.), Advances in plant breeding strategies: Nut and beverage crops (pp. 77–104). Springer: Cham.

  • Parimalarangan, R., Padmanaban, N., & Selvam, S. (2011). Supply chain analysis of raw cashew nuts in Tamil Nadu. In I International Symposium on Cashew Nut 1080, (pp. 67-73)

  • Paulraj, A. (2011). Understanding the relationships between internal resources and capabilities, sustainable supply management and organizational sustainability. Journal of Supply Chain Management, 47(1), 19–37.

    Article  Google Scholar 

  • Pfister, F., & Baccini, P. (2005). Resource potentials and limitations of a nicaraguan agricultural region. Environment, Development and Sustainability, 7(3), 337–361. https://doi.org/10.1007/s10668-004-7318-3

    Article  Google Scholar 

  • Plaza, D., Artigas, J., Ábrego, J., Gonzalo, A., Sánchez, J. L., Dro, A. D., et al. (2019). Design and operation of a small-scale carbonization kiln for cashew nutshell valorization in Burkina Faso. Energy for Sustainable Development, 53, 71–80. https://doi.org/10.1016/j.esd.2019.10.005

    Article  Google Scholar 

  • Poduval, M. (2011). Performance of cashew (Anacardium Occidentale) cultivars under red and laterite zone of West Bengal. In I International Symposium on Cashew Nut 1080 (pp. 157-163)

  • Ponnuswami, V., Padmadevi, K., & Muthu Kumar, S. Postharvest strategies and value addition in cashew for combating malnutrition. In I International Symposium on Cashew Nut 1080, 2011 (pp. 345-352)

  • Prusky, D. (2011). Reduction of the incidence of postharvest quality losses, and future prospects. Food Security, 3(4), 463–474. https://doi.org/10.1007/s12571-011-0147-y

    Article  Google Scholar 

  • Rais, M., & Sheoran, A. (2015). Scope of supply chain management in fruits and vegetables in India. Journal of Food Processing and Technology, 6(3), 1–7.

    Google Scholar 

  • Raj, A., & Sah, B. (2019). Analyzing critical success factors for implementation of drones in the logistics sector using grey-DEMATEL based approach. Computers and Industrial Engineering, 138, 106118.

    Article  Google Scholar 

  • Raut, R. D., Gardas, B. B., Kharat, M., & Narkhede, B. (2018). Modeling the drivers of post-harvest losses – MCDM approach. Computers and Electronics in Agriculture, 154, 426–433. https://doi.org/10.1016/j.compag.2018.09.035

    Article  Google Scholar 

  • Restrepo, M. J., Lelea, M. A., & Kaufmann, B. A. (2020). Assessing the quality of collaboration in transdisciplinary sustainability research: Farmers’ enthusiasm to work together for the reduction of post-harvest dairy losses in Kenya. Environmental Science and Policy, 105, 1–10.

    Article  Google Scholar 

  • Reutter, B., Lant, P. A., & Lane, J. L. (2017). The challenge of characterising food waste at a national level—an australian example. Environmental Science and Policy, 78, 157–166. https://doi.org/10.1016/j.envsci.2017.09.014

    Article  Google Scholar 

  • Richter, B., & Bokelmann, W. (2016). Approaches of the German food industry for addressing the issue of food losses. Waste management, 48, 423–429. https://doi.org/10.1016/j.wasman.2015.11.039

    Article  Google Scholar 

  • Santos, S. F. D., Cardoso, R. D. C. V., Borges, Í. M. P., Almeida, A. C. E., Andrade, E. S., Ferreira, I. O., et al. (2020). Post-harvest losses of fruits and vegetables in supply centers in Salvador, Brazil: Analysis of determinants, volumes and reduction strategies. Waste Management, 101, 161–170. https://doi.org/10.1016/j.wasman.2019.10.007

    Article  Google Scholar 

  • Sarkis, J., Gonzalez-Torre, P., & Adenso-Diaz, B. (2010). Stakeholder pressure and the adoption of environmental practices: The mediating effect of training. Journal of Operations Management, 28(2), 163–176. https://doi.org/10.1016/j.jom.2009.10.001

    Article  Google Scholar 

  • Savino, M. M., Manzini, R., & Mazza, A. (2015). Environmental and economic assessment of fresh fruit supply chain through value chain analysis. A case study in chestnuts industry. Production Planning and Control, 26(1), 1–18. https://doi.org/10.1080/09537287.2013.839066

    Article  Google Scholar 

  • Savino, M. M., & Shafiq, M. (2018). An extensive study to assess the sustainability drivers of production performances using a resource-based view and contingency analysis. Journal of Cleaner Production, 204, 744–752. https://doi.org/10.1016/j.jclepro.2018.08.191

    Article  Google Scholar 

  • Seddon, P. B. (2014). Implications for strategic IS research of the resource-based theory of the firm: A reflection. The Journal of Strategic Information Systems, 23(4), 257–269. https://doi.org/10.1016/j.jsis.2014.11.001

    Article  Google Scholar 

  • Sena, E. D. O. A., da Silva, P. S. O., de Araujo, H. G. S., de Aragão Batista, M. C., Matos, P. N., Sargent, S. A., et al. (2019). Postharvest quality of cashew apple after hydrocooling and coold room. Postharvest Biology and Technology, 155, 65–71. https://doi.org/10.1016/j.postharvbio.2019.05.002

    Article  CAS  Google Scholar 

  • Sharma, M., Joshi, S., & Kumar, A. (2020). Assessing enablers of e-waste management in circular economy using DEMATEL method: An Indian perspective. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-07765-w

    Article  Google Scholar 

  • Shin, N., Kraemer, K. L., & Dedrick, J. (2017). R&D and firm performance in the semiconductor industry. Industry and Innovation, 24(3), 280–297.

    Article  Google Scholar 

  • Silva, M. E., Pereira, S. C. F., & Gold, S. (2018). The response of the Brazilian cashew nut supply chain to natural disasters: A practice-based view. Journal of Cleaner Production, 204, 660–671. https://doi.org/10.1016/j.jclepro.2018.08.340

    Article  Google Scholar 

  • Song, M., Zhao, X., Shang, Y., & Chen, B. (2020). Realization of green transition based on the anti-driving mechanism: An analysis of environmental regulation from the perspective of resource dependence in China. Science of the Total Environment, 698, 134317. https://doi.org/10.1016/j.scitotenv.2019.134317

    Article  CAS  Google Scholar 

  • Spadafora, N. D., Cocetta, G., Cavaiuolo, M., Bulgari, R., Dhorajiwala, R., Ferrante, A., et al. (2019). A complex interaction between pre-harvest and post-harvest factors determines fresh-cut melon quality and aroma. Scientific Reports. https://doi.org/10.1038/s41598-019-39196-0

    Article  Google Scholar 

  • Stathers, T., Holcroft, D., Kitinoja, L., Mvumi, B. M., English, A., Omotilewa, O., et al. (2020). A scoping review of interventions for crop postharvest loss reduction in sub-Saharan Africa and South Asia. Nature Sustainability, 3(10), 821–835. https://doi.org/10.1038/s41893-020-00622-1

    Article  Google Scholar 

  • Sufiyan, M., Haleem, A., Khan, S., & Khan, M. I. (2019). Evaluating food supply chain performance using hybrid fuzzy MCDM technique. Sustainable Production and Consumption, 20, 40–57. https://doi.org/10.1016/j.spc.2019.03.004

    Article  Google Scholar 

  • Suh, Y., Park, Y., & Kang, D. (2019). Evaluating mobile services using integrated weighting approach and fuzzy VIKOR. PLoS ONE. https://doi.org/10.1371/journal.pone.0217786

    Article  Google Scholar 

  • Torkabadi, A. M., Pourjavad, E., & Mayorga, R. V. (2018). An integrated fuzzy MCDM approach to improve sustainable consumption and production trends in supply chain. Sustainable Production and Consumption, 16, 99–109. https://doi.org/10.1016/j.spc.2018.05.008

    Article  Google Scholar 

  • Tran, T. M. T., Yuen, K. F., Li, K. X., Balci, G., & Ma, F. (2020). A theory-driven identification and ranking of the critical success factors of sustainable shipping management. Journal of Cleaner Production, 243, 118401. https://doi.org/10.1016/j.jclepro.2019.118401

    Article  Google Scholar 

  • Tröger, K., Lelea, M. A., Hensel, O., & Kaufmann, B. (2020). Re-framing post-harvest losses through a situated analysis of the pineapple value chain in Uganda. Geoforum, 111, 48–61. https://doi.org/10.1016/j.geoforum.2020.02.017

    Article  Google Scholar 

  • Tseng, M. L., Lin, Y. H., Tan, K., Chen, R. H., & Chen, Y. H. (2014). Using TODIM to evaluate green supply chain practices under uncertainty. Applied Mathematical Modelling, 38(11–12), 2983–2995. https://doi.org/10.1016/j.apm.2013.11.018

    Article  Google Scholar 

  • Underhill, S. J. R., & Kumar, S. (2014). Quantifying horticulture postharvest wastage in three municipal fruit and vegetable markets in Fiji. International Journal of Postharvest Technology and Innovation, 4(2–4), 251–261. https://doi.org/10.1504/IJPTI.2014.068740

    Article  Google Scholar 

  • Wilewska-Bien, M., Granhag, L., & Andersson, K. (2020). Pathways to reduction and efficient handling of food waste on passenger ships: from Baltic Sea perspective. Environment, Development and Sustainability, 22(1), 217–230. https://doi.org/10.1007/s10668-018-0192-1

    Article  Google Scholar 

  • Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995.

  • Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499–507. https://doi.org/10.1016/j.eswa.2005.12.005

    Article  Google Scholar 

  • Wu, X., Zhang, X., & Chen, G. (2019). Answers to some questions about Zadeh’s extension principle on metric spaces. Fuzzy Sets and Systems. https://doi.org/10.1016/j.fss.2019.03.011

    Article  Google Scholar 

  • Xia, X., Govindan, K., & Zhu, Q. (2015). Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. Journal of Cleaner Production, 87(1), 811–825. https://doi.org/10.1016/j.jclepro.2014.09.044

    Article  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

    Article  Google Scholar 

  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, 8(3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5

    Article  Google Scholar 

  • Zhang, X., & Su, J. (2019). A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing. Computers and Industrial Engineering, 137, 106085. https://doi.org/10.1016/j.cie.2019.106085

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Agyemang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables

Table 8 The pairwise comparison of the drivers by expert 1

8,

Table 9 The pairwise comparison of drivers by expert 2

9,

Table 10 The pairwise comparison of drivers by expert 3

10,

Table 11 The pairwise comparison of drivers by expert 4

11,

Table 12 The pairwise comparison of drivers by expert 5

12,

Table 13 The pairwise comparison of drivers by expert 6

13,

Table 14 The pairwise comparison of drivers by expert 7

14,

Table 15 The pairwise comparison of drivers by expert 8

15,

Table 16 The pairwise comparison of drivers by expert 9

16

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Faibil, D., Agyemang, M., Amponsah, O. et al. Assessing drivers of post-harvest losses: tangible and intangible resources’ perspective. Environ Dev Sustain 23, 15785–15829 (2021). https://doi.org/10.1007/s10668-021-01314-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-021-01314-2

Keywords

Navigation