Blockchain for Ecologically Embedded Coffee Supply Chains
Abstract
:1. Introduction
2. Literature Review
2.1. CE Theory Applied to Coffee
2.2. Blockchain Capabilities in Support of CE
2.3. Ecological Embeddedness Theory and Blockchain
2.4. Blockchain Impacts on Business Performance
3. Methodology
3.1. Case Selection
- In the 52 weeks that ended 17 May 2020, Folgers was the leading ground coffee brand in the U.S. with over 25% of the market, an increase of about 3% since 2008 [76].
- The Folgers Coffee Company aims to improve the lives of the farmers who grow their coffee and to purchase green coffee in a responsible manner. Folgers works with UTZ (part of the Rainforest Alliance) to make green-coffee purchases and introduce sustainable coffee practices (UTZ certified as The J.M. Smucker Company, Member ID ME01_7585), and with World Coffee Research (WCR) to protect natural resources ($250,000 to $500,000 category for annual support as J.M. Smucker Co./Folgers Coffee).
- Folgers 1850 coffee is 100% Colombian. Folgers has partnered with Farmer Connect, a tech start-up building farm-to-fork consumer traceability solutions, to connect consumers of Folgers 1850 coffee with farmers in Colombia.
3.2. Research Setting
3.3. Unit of Analysis
3.4. Data Collection
- The lead researcher ordered a bag of Folgers 1850 coffee from amazon.co.uk.
- The blockchain was investigated using the QR code on the coffee bag.
- The company (Folgers) was investigated using information available online (sustainability reports, website).
- Colombian coffee production was investigated using online resources.
3.5. Data Analysis
- Determine framework elements and strategies present–are they ecologically embedded?
- Perform business analytics gap analysis.
- Identify improvements to circular-oriented innovation that can be enabled with blockchain.
- Define the future state as informed by the literature review: The desired future state is ecological embeddedness with farm-to-fork traceability enabling product quality and safety (consumer health benefits), waste identification and location for the inclusion of by-products and waste in CE activities to reduce or recover value and decrease costs (to be shared throughout the supply chain as benefits), and a digital ledger for efficient economic transactions and adequate compensation upstream of the customer and a fair price for the customer (benefits throughout the supply chain).
- Identify needs: The current state is identified for Folgers 1850 coffee using the physical product and grey literature through the lens of consumer experience. Needs are identified for supply chain actors.
- Describe the Gap: The gap between the current and future states and contributing factors are described.
- Bridging the Gap: Solutions are suggested to advance from the current to future state within the context of blockchain.
4. Results
4.1. Data Collection
- (1)
- The process of collecting, analysing and making forecasts from supply chain data.
- (2)
- The process of ensuring the security and accuracy of data across the supply chain.
- (3)
- The process of sharing data for improved collaboration across the supply chain.
- (4)
- The process of facilitating and recording financial transactions for greater accuracy and efficiency.
- (5)
- The process of tracing products.
- (6)
- The processes of ensuring product safety and quality.
- (7)
- The process of delivering products more quickly and efficiently.
- (8)
- The process of enabling global supply chain compatibility.
- (9)
- The process of managing and valorising waste (supported by IoT technology).
- (10)
- The marketing process in relation to customer engagement with sustainability.
- The Thank My FarmerTM app for consumers to use to scan a QR code on packaging of a finished good to access the story behind it and donate to sustainability projects in the farmers’ communities.
- A farmer connect platform for enterprise clients.
- Farmer ID with a Self-Sovereign Identity (SSI) to allow producers to store and manage digital versions of identification documents, transaction receipts or (agricultural) certifications in one place.
- To receive payment for the sale of their coffee at the Coffee Growers Cooperative.
- To have access to bank operations and purchases at more than 260,000 points: agricultural provision warehouses, cooperative purchase points, ATMs of any network, bank correspondents, Aval Group offices, and commercial establishments, in addition to transactions online and under the ACH (automated clearing house) system.
- To withdraw and send money and for deposits and savings in their bank account.
4.2. Data Analysis
5. Discussion
6. Theoretical Implications
7. Managerial Implications
8. Limitations and Future Research
- (1)
- How to resolve traceability issues when the supply chain branches and then reunites commodities (two collection centres leading to one dry mill, two warehouses leading to one roasting facility) both among supply chain actors and within the processes of individual supply chain actors.
- (2)
- How to implement new business models supported by blockchain technology for the valorisation of by-products of production and biological-loop waste at the end of life.
Author Contributions
Funding
Conflicts of Interest
References
- Renard, M. In the Name of Conservation: CAFE Practices and Fair Trade in Mexico. J. Bus. Ethics 2010, 92, 287–299. [Google Scholar] [CrossRef]
- Verteramo Chiu, L.; Liaukonyte, J.; Gómez, M.; Kaiser, H. Socially responsible products: What motivates consumers to pay a premium? Appl. Econ. 2017, 49, 1833–1846. [Google Scholar] [CrossRef]
- Global Coffee Report. A New Baseline for Sustainable Coffee Production. 2021. Available online: https://www.gcrmag.com/a-new-baseline-for-sustainability-in-coffee-production/ (accessed on 13 March 2022).
- Campos Trigoso, J.-A.; Murga Valderrama, N.L.; Rituay Trujillo, P.A.; García Rosero, L.M. Sostenibilidad del café: Revisión sistemática de la literature. Rev. Venez. Gerenc. 2021, 26, 943–961. [Google Scholar] [CrossRef]
- Yadav, S.; Singh, S. Blockchain critical success factors for sustainable supply chain. Resources. Conserv. Recycl. 2020, 152, 104505. [Google Scholar] [CrossRef]
- Mukherjee, A.; Singh, R.; Mishra, R.; Bag, S. Application of blockchain technology for sustainability development in agricultural supply chain: Justification framework. Oper. Manag. Res. 2021; in press. [Google Scholar] [CrossRef]
- Adams, R.; Kewell, B.P. Blockchain for Good? Digital Ledger Technology and Sustainable Development Goals. In Handbook of Sustainability and Social Science Research; Leal Filho, W., Marans, R., Callewaert, J., Eds.; Springer: Cham, Switzerland, 2018; pp. 127–140. [Google Scholar] [CrossRef]
- Sharma, M.G. Supply chain, geographical indicator and blockchain: Provenance model for commodity. Int. J. Product. Perform. Manag. 2021; in press. [Google Scholar] [CrossRef]
- Thiruchelvam, V.; Mughisha, A.S.; Shahpasand, M.; Bamiah, M. Blockchain-based technology in the coffee supply chain trade: Case of burundi coffee. Journal of Telecommunication. Electron. Comput. Eng. (JTEC) 2018, 10, 121–125. [Google Scholar]
- Jagtap, S.; Bader, F.; Garcia-Garcia, G.; Trollman, H.; Fadiji, T.; Salonitis, K. Food Logistics 4.0: Opportunities and Challenges. Logistics 2021, 5, 2. [Google Scholar] [CrossRef]
- Jagtap, S.; Duong, L.; Trollman, H.; Bader, F.; Garcia-Garcia, G.; Skouteris, G.; Li, J.; Pathare, P.; Martindale, W.; Swainson, M.; et al. IoT technologies in the food supply chain. In Food Technology Disruptions; Galanakis, C., Ed.; Academic Press: Cambridge, MA, USA, 2021; pp. 175–211. [Google Scholar] [CrossRef]
- Trollman, H.; Colwill, J.; Brejnholt, A. Ecologically Embedded Design in Manufacturing: Legitimation within Circular Economy. Sustainability 2020, 12, 4261. [Google Scholar] [CrossRef]
- Mena, C.; Humphries, A.; Choi, T. Toward a theory of multi-tier supply chain management. J. Supply Chain. Manag. 2013, 49, 58–77. [Google Scholar] [CrossRef]
- Tachizawa, E.; Yew Wong, C. Towards a theory of multi-tier sustainable supply chains: A systematic literature review. Supply Chain. Manag. 2014, 19, 643–663. [Google Scholar] [CrossRef]
- Touboulic, A.; Chicksand, D.; Walker, H. Managing Imbalanced Supply Chain Relationships for Sustainability: A Power Perspective. Decis. Sci. 2014, 45, 577–619. [Google Scholar] [CrossRef]
- Sauer, P.; Seuring, S. A three-dimensional framework for multi-tier sustainable supply chain management. Supply Chain. Manag. 2018, 23, 560–572. [Google Scholar] [CrossRef]
- León-Bravo, V.; Caniato, F.; Caridi, M. Sustainability in multiple stages of the food supply chain in Italy: Practices. Perform. Reput. Oper. Manag. Res. 2019, 12, 40–61. [Google Scholar] [CrossRef]
- Luo, S.; Choi, T.-M. Great partners: How deep learning and blockchain help improve business operations together. Ann. Oper. Res. 2021; in press. [Google Scholar] [CrossRef]
- Walaszczyk, A.; Galinska, B. Food Origin Traceability from a Consumer’s Perspective. Sustainability 2020, 12, 1872. [Google Scholar] [CrossRef] [Green Version]
- Fan, Z.-P.; Wu, X.-Y.; Cao, B.-B. Considering the traceability awareness of consumers: Should the supply chain adopt the blockchain technology? Ann. Oper. Res. 2020, 309, 837–860. [Google Scholar] [CrossRef]
- Sit, J.; Hoang, A.; Inversini, A. Showrooming and retail opportunities: A qualitative investigation via a consumer-experience lens. J. Retail. Consum. Serv. 2018, 40, 163–174. [Google Scholar] [CrossRef]
- Morris, C.; Kirwan, J. Ecological embeddedness: An interrogation and refinement of the concept within the context of alternative food networks in the UK. J. Rural Stud. 2011, 27, 322–330. [Google Scholar] [CrossRef]
- Penker, M. Mapping and measuring the ecological embeddedness of food supply chains. Geoforum 2006, 37, 368–379. [Google Scholar] [CrossRef]
- Feagan, R.B.; Morris, D. Consumer quest for embeddedness: A case study of the Brantford Farmers’ Market. Int. J. Consum. Stud. 2009, 33, 235–243. [Google Scholar] [CrossRef]
- Morris, C.; Kirwan, J. Food commodities, geographical knowledge and the reconnection of production and consumption: The case of naturally embedded food products. Geoforum 2010, 41, 131–143. [Google Scholar] [CrossRef]
- Baritaux, V.; Houdart, M.; Boutonnet, J.-P.; Chazoule, C.; Corinaux, C.; Fleury, P.; Lacombe, N.; Napoléone, M.; Tourrand, J.-F. Ecological embeddedness in animal food systems (re-)localisation: A comparative analysis of initiatives in France. Morocco and Senegal. J. Rural. Stud. 2016, 43, 13–26. [Google Scholar] [CrossRef]
- Hedberg, R.C.; Zimmerer, K.S. What’s the market got to do with it? Social-ecological embeddedness and environmental practices in a local food system initiative. Geoforum 2020, 110, 35–45. [Google Scholar] [CrossRef]
- Iga, M. Changing agri-food systems in the global economy. Jpn. J. Hum. Geogr. 2014, 66, 64–76. [Google Scholar] [CrossRef] [Green Version]
- Madelrieux, S.; Buchlet, N.; Lescoat, P.; Moraine, M. Characterizing the forms of interaction between agricultural value chains and territories: What methods? Cah. Agric. 2017, 26, 26. [Google Scholar] [CrossRef]
- Zhou, M.; Govindan, K.; Xie, X. How fairness perceptions, embeddedness, and knowledge sharing drive green innovation in sustainable supply chains: An equity theory and network perspective to achieve sustainable development goals. J. Clean. Prod. 2020, 260, 120950. [Google Scholar] [CrossRef]
- Wills, B.; Arundel, A. Internet-enabled access to alternative food networks: A comparison of online and offline food shoppers and their differing interpretations of quality. Agric. Hum. Values 2017, 34, 701–712. [Google Scholar] [CrossRef]
- Chaudhuri, A.; Bhatia, M.S.; Kayikci, Y.; Fernandes, K.J.; Fosso-Wamba, S. Improving social sustainability and reducing supply chain risks through blockchain implementation: Role of outcome and behavioural mechanisms. Ann. Oper. Res. 2021; in press. [Google Scholar] [CrossRef]
- Berneis, M.; Winkler, H. Value Proposition Assessment of Blockchain Technology for Luxury. Food Healthc. Supply Chain. Logist. 2021, 5, 85. [Google Scholar] [CrossRef]
- Bocken, N.; De Pauw, I.; Bakker, C.; van der Grinten, B. Product design and business model strategies for a circular economy. J. Ind. Prod. Eng. 2016, 33, 308–320. [Google Scholar] [CrossRef] [Green Version]
- Šerešová, M.; Kočí, V. Proposal of Package-to-Product Indicator for Carbon Footprint Assessment with Focus on the Czech Republic. Sustainability 2020, 12, 3034. [Google Scholar] [CrossRef] [Green Version]
- Blinová, L.; Sirotiak, M.; Bartošová, A.; Soldán, M. Review: Utilization of waste from coffee production. Res. Pap. Fac. Mater. Sci. Technol. Trnava 2017, 25, 91–101. [Google Scholar] [CrossRef] [Green Version]
- Arya, S.S.; Venkatram, R.; More, P.R.; Vijayan, P. The wastes of coffee bean processing for utilization in food: A review. J. Food Sci. Technol. 2022, 59, 429–444. [Google Scholar] [CrossRef] [PubMed]
- Thi Quyen, V.; Pham, T.H.; Kim, J.; Thanh, D.M.; Thang, P.Q.; Van Le, Q.; Jung, J.S.H.; Kim, T. Biosorbent derived from coffee husk for efficient removal of toxic heavy metals from wastewater. Chemosphere 2021, 284, 131312. [Google Scholar] [CrossRef] [PubMed]
- Rivest, R.; Shamir, A.; Adleman, L. A method for obtaining digital signatures and public-key cryptosystems. Commun. ACM 1978, 21, 120–126. [Google Scholar] [CrossRef]
- Preneel, B. Cryptographic hash functions. Eur. Trans. Telecommun. 1994, 5, 431–448. [Google Scholar] [CrossRef]
- Vukolić, M. The quest for scalable blockchain fabric: Proof-of-work vs. BFT replication. In International Workshop on Open Problems in Network Security; Springer: Berlin/Heidelberg, Germany, 2015. [Google Scholar] [CrossRef] [Green Version]
- Kahn, S.A.R.; Godil, D.I.; Jabbour, C.J.C.; Shujaat, S.; Razzaq, A.; Yu, Z. Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: Evidence from small and medium enterprises. Ann. Oper. Res. 2022; in press. [Google Scholar] [CrossRef]
- Janssen, M.; Weerakkody, V.; Ismagilova, E.; Sivarajah, U.; Irani, Z. A framework for analysing blockchain technology adoption: Integrating institutional market and technical factors. Int. J. Inf. Manag. 2020, 50, 302–309. [Google Scholar] [CrossRef]
- Akter, S.; Michael, K.; Uddin, M.R.; McCarthy, G.; Raman, M. Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Ann. Oper. Res. 2022, 308, 7–39. [Google Scholar] [CrossRef]
- Gligor, D.M.; Davis-Sramek, B.; Tan, A.; Vitale, A.; Russo, I.; Golgeci, I.; Wan, X. Utilizing blockchain technology for supply chain transparency: A resource orchestration perspective. J. Bus. Logist. 2022, 43, 140–159. [Google Scholar] [CrossRef]
- Yadav, J.; Misra, M.; Goundar, S. An overview of food supply chain virtualisation and granular traceability using blockchain technology. Int. J. Blockchains Cryptocurrencies 2020, 1, 154–178. [Google Scholar] [CrossRef]
- Yiannas, F. A new era of food transparency powered by blockchain. Innov. Technol. Governance Glob. 2018, 12, 46–56. [Google Scholar] [CrossRef]
- Trollman, H.; Colwill, J. A Transformational Change Framework for Developing Ecologically Embedded Manufacturing. Glob. J. Flex. Syst. Manag. 2020, 21, 341–368. [Google Scholar] [CrossRef]
- Swierczek, A. Manufacturer structural embeddedness and the network rent: The intervening role of relational embeddedness in the triadic supply chains. Supply Chain. Manag. 2019, 24, 334–354. [Google Scholar] [CrossRef]
- Kamble, S.; Gunasekaran, A.; Subramanian, N.; Ghadge, A.; Belhadi, A.; Venkatesh, M. Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence form the automotive industry. Ann. Oper. Res. 2021; in press. [Google Scholar] [CrossRef]
- Ge, L.; Brewster, C.; Spek, J.; Smeenk, A.; Top, J.; van Diepen, F.; Klasse, B.; Graumans, C.; de Ruyter de Wildt, M. Blockchain for Agriculture and Food; Findings from the pilot study. Wagening. Econ. Research. Wagening. 2017, 112, 1–33. [Google Scholar] [CrossRef] [Green Version]
- Reyna, A.; Martín, C.; Chen, J.; Soler, E.; Díaz, M. On blockchain and its integration with IoT. Challenges and opportunities. Future Gener. Comput. Syst. 2018, 88, 173–190. [Google Scholar] [CrossRef]
- Nowiński, W.; Kozma, M. How can blockchain technology disrupt the existing business models? Entrep. Bus. Econ. Rev. 2017, 5, 173–188. [Google Scholar] [CrossRef]
- Lai, J.-Y.; Wang, J.; Chiu, Y.-H. Evaluating blockchain technology for reducing supply chain risks. Inf. Syst. E-Bus. Manag. 2021, 19, 1089–1111. [Google Scholar] [CrossRef]
- Lacity, M.C. Addressing key challenges to making enterprise blockchain applications a reality. MIS Q. Exec. 2018, 17, 201–222. [Google Scholar]
- Weking, J.; Mandalenakis, M.; Hein, A.; Hermes, S.; Böhm, M.; Krcmar, H. The impact of blockchain technology on business models—A taxonomy and archetypal patterns. Electron. Mark. 2020, 30, 285–305. [Google Scholar] [CrossRef] [Green Version]
- Baert, K.; Van Huffel, X.; Jacxsens, L.; Berkvens, D.; Diricks, H.; Huyghebaert, A.; Uyttendaele, M. Measuring the perceived pressure and stakeholders’ response that may impact the status of the safety of the food chain in Belgium. Food Res. Int. 2012, 48, 257–264. [Google Scholar] [CrossRef]
- Kumar, S.; Luthra, S.; Haleem, A. Customer involvement in greening the supply chain: An interpretive structural modeling methodology. J. Ind. Eng. Int. 2013, 9, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Martínez-Jurado, P.J.; Moyano-Fuentes, J. Lean management, supply chain management and sustainability: A literature review. J. Clean. Prod. 2014, 85, 134–150. [Google Scholar] [CrossRef]
- Reuter, C.; Goebel, P.; Foerstl, K. The impact of stakeholder orientation on sustainability and cost prevalence in supplier selection decisions. J. Purch. Supply Manag. 2012, 18, 270–281. [Google Scholar] [CrossRef]
- Masudin, I.; Wastono, T.; Zulfikarijah, F. The effect of managerial intention and initiative on green supply chain management adoption in Indonesian manufacturing performance. Cogent Bus. Manag. 2018, 5, 1485212. [Google Scholar] [CrossRef]
- Masudin, I.; Ramadhani, A.; Restuputri, D.P.; Amallynda, I. The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A COVID-19 Pandemic Perspective. Glob. J. Flex. Syst. Manag. 2021, 22, 331–356. [Google Scholar] [CrossRef]
- Miles, M.; Huberman, A. Qualitative Data Analysis; Sage: London, UK, 1994. [Google Scholar]
- Yin, R. Case Study Research: Design and Methods; Sage: Thousand Oaks, CA, USA, 2003. [Google Scholar]
- Wang, M.; Kumar, V.; Ruan, X.; Saad, M.; Garza-Reyes, J.A.; Kumar, A. Sustainability concerns on consumers’ attitude towards short food supply chains: An empirical investigation. Oper Manag Res. 2021; in press. [Google Scholar] [CrossRef]
- Voss, C.; Tsikriktsis, N.; Frohlich, M. Case research in operations management. Int. J. Oper. Prod. Manag. 2002, 22, 195–219. [Google Scholar] [CrossRef] [Green Version]
- Eisenhardt, K.M.; Graebner, M.E. Theory building from cases: Opportunities and challenges. Acad. Manag. J. 2007, 50, 25–32. [Google Scholar] [CrossRef] [Green Version]
- Crowe, S.; Cresswell, K.; Robertson, A.; Huby, G.; Avery, A.; Sheikh, A. The case study approach. BMC Med. Res. Methodol. 2011, 11, 100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yin, R.K. Case study research. In Design and Methods, 5th ed.; Sage: Thousand Oaks, CA, USA, 2014. [Google Scholar]
- Stake, R.E. The Art of Case Study Research; Sage: Thousand Oaks, CA, USA, 1995. [Google Scholar]
- Pedersen, K.; Emblemsvåg, J.; Bailey, R.; Allen, J.K.; Mistree, F. Validating Design Methods & Research: The Validation Square. In Proceedings of the DETC ’00, Baltimore, MA, USA, 10–14 September 2000. [Google Scholar]
- Alvarez, G.; Pilbeam, C.; Wilding, R. Nestlé Nespresso AAA sustainable quality program: An investigation into the governance dynamics in a multi-stakeholder supply chain network. Supply Chain Manag. 2010, 15, 165–182. [Google Scholar] [CrossRef]
- Barratt, M.; Choi, T.; Li, M. Qualitative case studies in operations management: Trends, research outcomes, and future research implications. J. Oper. Manag. 2011, 29, 329–342. [Google Scholar] [CrossRef] [Green Version]
- Benbasat, I.; Goldstein, D.; Mead, M. The case research strategy in studies of information systems. MIS Q. 1987, 11, 368–386. [Google Scholar] [CrossRef]
- Eisenhardt, K. Building theories from case study research. Acad. Manag. Rev. 1989, 14, 532–550. [Google Scholar] [CrossRef]
- Datta, Y. The U.S. Coffee Market: A Competitive Profile. J. Econ. Public Financ. 2020, 6, 138–171. [Google Scholar] [CrossRef]
- Rotta, N.; Curry, S.; Han, J.; Reconco, R.; Spang, E.; Ristenapart, W.; Donis-González, I. A comprehensive analysis of operations and mass flows in postharvest processing of washed coffee. Resour. Conserv. Recycl. 2021, 170, 105554. [Google Scholar] [CrossRef]
- Chanakya, H.; De Alwis, A. Environmental issues and management in primary coffee processing. Process Saf. Environ. Prot. 2004, 82, 291–300. [Google Scholar] [CrossRef]
- Coltro, L.; Mourad, A.; Oliveira, P.; Baddini, J.; Kletecke, R. Environmental profile of Brazilian green coffee. Int. J. Life Cycle Assess. 2006, 11, 16–21. [Google Scholar] [CrossRef]
- Esquivel, P.; Jiménez, V. Functional properties of coffee and coffee by-products. Food Res. Int. 2012, 46, 488–495. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
- Nowell, L.; Norris, J.; White, D.; Moules, N. Thematic Analysis: Striving to Meet the Trustworthiness Criteria. Int. J. Qual. Methods 2017, 16, 1609406917733847. [Google Scholar] [CrossRef]
- Kristoffersen, E.; Blomsma, F.; Mikalef, P.; Li, J. The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies. J. Buiness Res. 2020, 120, 241–261. [Google Scholar] [CrossRef]
- Bunse, K.; Vodicka, M.; Schönsleben, P.; Brülhart, M.; Ernst, F. Integrating energy efficiency performance in production management—gap analysis between industrial needs and scientific literature. J. Clean. Prod. 2011, 19, 667–679. [Google Scholar] [CrossRef]
- Chidepatil, A.; Bindra, P.; Kulkarni, D.; Qazi, M.; Kshirsagar, M.; Sankaran, K. From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Adm. Sci. 2020, 10, 23. [Google Scholar] [CrossRef] [Green Version]
- Sahoo, S.; Mukherjee, A.; Halder, R. A unified blockchain-based platform for global e-waste management. Int. J. Web Inf. Syst. 2021, 17, 449–479. [Google Scholar] [CrossRef]
- Schmelz, D.; Pinter, K.; Strobl, S.; Zhu, L.; Niemeier, P.; Grechenig, T. Technical Mechanics of a Trans-Border Waste Flow Tracking Solution Based on Blockchain Technology. In Proceedings of the 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, China, 8–12 April 2019; pp. 31–36. [Google Scholar] [CrossRef]
- Gupta, Y.; Mukherjee, S.; Dutta, R.; Bhattacharya, S. A blockchain-based approach using smart contracts to develop a smart waste management system. Int. J. Environ. Sci. Technol. 2021; in press. [Google Scholar] [CrossRef]
- Alves, R.C.; Rodrigues, F.; Nunes, M.A.; Vinha, A.F.; Oliveira, M.B.P.P. Chapter 1—State of the art in coffee processing by-products. In Handbook of Coffee Processing By-Products; Galanakis, C.M., Ed.; Elsevier: Amsterdam, The Netherlands, 2017; pp. 1–26. [Google Scholar] [CrossRef]
- Klingel, T.; Kremer, J.I.; Gottstein, V.; Rajcic de Rezende, T.; Schwarz, S.; Lachenmeier, D.W. A review of coffee by-products including leaf, flower, cherry, husk, silver skin, and spent grounds as novel foods within the European Union. Foods 2020, 9, 665. [Google Scholar] [CrossRef]
- Taylor, P.; Steenmans, K.; Steenmans, I. Blockchain technology for sustainable waste management. Front. Political Sci. 2020, 2, 590923. [Google Scholar] [CrossRef]
- Li, K.; Lee, J.-Y.; Gharehgozli, A. Blockchain in food supply chains: A literature review and synthesis analysis of platforms, benefits and challenges. Int. J. Prod. Res. 2021; in press. [Google Scholar] [CrossRef]
- Marin, M.P.; Marin, I.; Vidu, L. Learning about the reduction of food waste using blockchain technology. In Proceedings of the 13th Annual International Technology, Education and Development, Valencia, Spain, 11–13 March 2019. [Google Scholar] [CrossRef]
- Zhao, Z.; Min, K.J. Blockchain traceability valuation for perishable agricultural products under demand uncertainty. Int. J. Oper. Res. Inf. Syst. 2020, 11, 1–32. [Google Scholar] [CrossRef]
- Kör, B.; Krawczyk, A.; Wakkee, I. Addressing food loss and waste prevention. Br. Food J. 2021; in press. [Google Scholar] [CrossRef]
- Sheppard, P.; Garcia-Garcia, G.; Angelis-Dimakis, A.; Campbell, G.M.; Rahimifard, S. Synergies in the co-location of food manufacturing and biorefining. Food Bioprod. Process. 2019, 117, 340–359. [Google Scholar] [CrossRef]
- Lamichhane, M. A Smart Waste Management System Using IoT and Blockchain Technology; LUT University: Lappeenranta, Finland, 2017. [Google Scholar]
- Jagtap, S. Utilising the Internet of Things Concepts to Improve the Resource Efficiency of Food Manufacturing; Loughborough University: Loughborough, UK, 2019. [Google Scholar] [CrossRef]
- Jagtap, S.; Bhatt, C.; Thik, J.; Rahimifard, S. Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach. Sustainability 2019, 11, 3173. [Google Scholar] [CrossRef] [Green Version]
- Boxenbaum, E.; Jonsson, S. Isomorphism, diffusion and decoupling. In The Sage Handbook of Organizational Institutionalism; Greenwood, R., Oliver, C., Lawrence, T.B., Meyer, R.E., Eds.; Sage: London, UK, 2008; pp. 78–98. [Google Scholar]
- Weber, H.; Loschelder, D.; Lang, D.; Wiek, A. Connecting consumers to producers to foster sustainable consumption in international coffee supply—A marketing intervention study. J. Mark. Manag. 2021, 37, 1148–1168. [Google Scholar] [CrossRef]
- Saberi, S.; Kouhizadeh, M.; Sarkis, J.; Shen, L. Blockchain technology and its relationships to sustainable supply chain management. Int. J. Prod. Res. 2019, 57, 2117–2135. [Google Scholar] [CrossRef] [Green Version]
- Florez-Valdez, M.; Meza-Márquez, O.; Osorio-Revilla, G.; Gallardo-Velázquez, T. Identification and Quantification of Adulterants in Coffee (Coffea arabica L.) Using FT-MIR Spectroscopy Coupled with Chemometrics. Foods 2020, 9, 851. [Google Scholar] [CrossRef]
- Booth, N.; Saxton, J.; Rodda, S. Estimates of Caffeine Use Disorder, Caffeine Withdrawal, Harm and Help-seeking in New Zealand: A cross-sectional survey. Addict. Behav. 2020, 109, 106470. [Google Scholar] [CrossRef]
- Rejeb, A.; Keogh, J.G.; Zailani, S.; Treiblmaier, H.; Rejeb, K. Blockchain Technology in the Food Industry: A Review of Potentials, Challenges and Future Research Directions. Logistics 2020, 4, 27. [Google Scholar] [CrossRef]
Supply Chain Actor | Current Needs | Desired Future State (Ecological Embeddedness) | Contributing Factors | Bridging the Gap | |
---|---|---|---|---|---|
Columbia/New Orleans, USA | Farmer | Living income | Fair and efficient financial transactions Waste minimization and valorisation | Lack of power | Inclusion in blockchain financial transactions Blockchain for waste |
Collection | Supply of coffee | Waste minimization and valorisation | Lack of advanced waste management | Blockchain for waste | |
Dry Mill | |||||
Exporting Port | |||||
Importing Port | |||||
J.M. Smucker Company | Warehouse | Supply of coffee Good public relations | Quality and safety of product Waste minimization and valorisation | Lack of incentive | Regulation and legislation for blockchain Full product blockchain traceability and visibility Blockchain for waste |
Roasting Facility | |||||
Warehouse | |||||
Amazon | Delivery | Good public relations | Quality and safety of product | Lack of integrated technology (e.g., IoT) | Introduction of IoT information into blockchain and integration with upstream supply chain |
United Kingdom | Customer | Safe supply of coffee Conscientious consumption (enabled by a connection with the farmer & redirection of coffee grounds from landfill) | Fair price Quality and safety of product | Lack of farm-to-fork transparency Lack of awareness around spent coffee grounds use Lack of access to spent coffee grounds recycling | Increased blockchain transparency Education and participation in blockchain for waste |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Trollman, H.; Garcia-Garcia, G.; Jagtap, S.; Trollman, F. Blockchain for Ecologically Embedded Coffee Supply Chains. Logistics 2022, 6, 43. https://doi.org/10.3390/logistics6030043
Trollman H, Garcia-Garcia G, Jagtap S, Trollman F. Blockchain for Ecologically Embedded Coffee Supply Chains. Logistics. 2022; 6(3):43. https://doi.org/10.3390/logistics6030043
Chicago/Turabian StyleTrollman, Hana, Guillermo Garcia-Garcia, Sandeep Jagtap, and Frank Trollman. 2022. "Blockchain for Ecologically Embedded Coffee Supply Chains" Logistics 6, no. 3: 43. https://doi.org/10.3390/logistics6030043
APA StyleTrollman, H., Garcia-Garcia, G., Jagtap, S., & Trollman, F. (2022). Blockchain for Ecologically Embedded Coffee Supply Chains. Logistics, 6(3), 43. https://doi.org/10.3390/logistics6030043