- Aksoy A, Öztürk N (2011) Supplier selection and performance evaluation in just-in-time production environments. Expert Syst Appl 38(5):6351–6359.
Paper not yet in RePEc: Add citation now
- Amankwah-Amoah J, Lu Y (2022) Harnessing AI for business development: a review of drivers and challenges in Africa. Prod Plan Control 1–10.
Paper not yet in RePEc: Add citation now
Arunachalam D, Kumar N, Kawalek JP (2018) Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transp Res Part E: Logist Transp Rev 114:416–436.
Badakhshan E, Humphreys P, Maguire L, McIvor R (2020) Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain. Int J Prod Res 58(17):5253–5279.
- Banerjee A, Lücker F, Ries JM (2021) An empirical analysis of suppliers’ trade-off behaviour in adopting digital supply chain financing solutions. Int J Oper Prod Manag 41(4):313–335.
Paper not yet in RePEc: Add citation now
Baryannis G, Validi S, Dani S, Antoniou G (2019) Supply chain risk management and artificial intelligence: state of the art and future research directions. Int J Prod Res 57(7):2179–2202.
- Bienhaus F, Haddud A (2018) Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Bus Process Manag J 24(4):965–984.
Paper not yet in RePEc: Add citation now
Biju AK, Thomas AS, Thasneem J (2024) Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis. Qual Quant 58(1):849–878.
- Bonzani A, Moretto A, Caniato F (2018) Costs and benefits of Supply Chain Finance solutions: is it always worth it? The supply chain finance essential knowledge series. Supply Chain Finance Community, pp 1–32.
Paper not yet in RePEc: Add citation now
- Bousqaoui H, Achchab S, Tikito K (2017) Machine learning applications in supply chains: An emphasis on neural network applications. 2017 3rd International Conference of Cloud Computing Technologies and Applications. CloudTech. IEEE, USA, pp 1–7.
Paper not yet in RePEc: Add citation now
Brintrup A, Kosasih E, Schaffer P, Zheng G, Demirel G, MacCarthy BL (2024) Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks. Int J Prod Res 62(13):4674–4695. https://doi.org/10.1080/00207543.2023.2270719 .
- Caniato F, Gelsomino LM, Perego A, Ronchi S (2016) Does finance solve the supply chain financing problem? Supply Chain Manag Int J 21(5):534–549.
Paper not yet in RePEc: Add citation now
- Caniato F, Henke M, Zsidisin GA (2019) Supply chain finance: historical foundations, current research, future developments. J Purch Supply Manag 25(2):99–104.
Paper not yet in RePEc: Add citation now
- Chehbi-Gamoura S, Derrouiche R, Damand D, Barth M (2020) Insights from big data analytics in supply chain management: an all-inclusive literature review using the SCOR model. Prod Plann Control 31(5):355–382. https://doi.org/10.1080/09537287.2019.1639839 .
Paper not yet in RePEc: Add citation now
- Chen DQ, Preston DS, Swink M (2015) How the use of big data analytics affects value creation in supply chain management. J Manag Inf Syst 32(4):4–39. https://doi.org/10.1080/07421222.2015.1138364 . issn: 0742-1222, 1557-928X.
Paper not yet in RePEc: Add citation now
- Chen J, See KC (2020) Artificial intelligence for COVID-19: rapid review. J Med Internet Res 22(10):e21476.
Paper not yet in RePEc: Add citation now
- Chen L, Moretto A, Jia F, Caniato F, Xiong Y (2021) The role of digital transformation to empower supply chain finance: current research status and future research directions (Guest editorial). Int J Oper Prod Manag 41(4):277–288.
Paper not yet in RePEc: Add citation now
Chen S, Du J, He W, Siponen M (2022) Supply chain finance platform evaluation based on acceptability analysis. Int J Prod Econ 243:108350.
- Chen X, Hu C (2011) The value of supply chain finance. Supply chain management-applications and simulations. pp 111–132.
Paper not yet in RePEc: Add citation now
- Choi TY, Hofmann E, Templar S, Rogers DS, Leuschner R, Korde RY (2023) The supply chain financing ecosystem: Early responses during the COVID-19 crisis. J Purch Supply Manag 29(4):100836.
Paper not yet in RePEc: Add citation now
Crafts N (2021) Artificial intelligence as a general-purpose technology: an historical perspective. Oxf Rev Econ Pol 37(3):521–536. https://doi.org/10.1093/oxrep/grab012 .
- De Boer R, van Bergen M, Steeman M (2015) Supply chain finance, its practical relevance and strategic value.
Paper not yet in RePEc: Add citation now
De Bruyn A, Viswanathan V, Beh YS, Brock JK, Von Wangenheim F (2020) Artificial intelligence and marketing: Pitfalls and opportunities. J Interact Mark 51(1):91–105.
- de Campos Martins F, Simon AT (2018) Supply chain 4.0 challenges. 2nd International Symposium on Supply Chain 4.0, p 50.
Paper not yet in RePEc: Add citation now
- de Goeij C, Gelsomino LM, Caniato F, Moretto A, Steeman M (2021) Understanding SME suppliers’ response to supply chain finance: a transaction cost economics perspective. Int J Phys Distrib Logist Manag 51(8):813–836.
Paper not yet in RePEc: Add citation now
- Eisenhardt KM (1989) Building theories from case study research. Acad Manag Rev 14(4):532–550.
Paper not yet in RePEc: Add citation now
- Eisenhardt KM, Bourgeois LJ III (1988) Politics of strategic decision making in high-velocity environments: Toward a midrange theory. Acad Manag J 31(4):737–770.
Paper not yet in RePEc: Add citation now
- Flechsig C, Anslinger F, Lasch R (2022) Robotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation. J Purch Supply Manag 28(1):100718.
Paper not yet in RePEc: Add citation now
- Fu Y, Zhu J (2016) Network supplier credit evaluation model based on big data. J Cent Univ Fin Econ 348:74–83.
Paper not yet in RePEc: Add citation now
- Gelsomino LM, de Boer R, Steeman M, Perego A (2019) An optimisation strategy for concurrent Supply Chain Finance schemes. J Purch Supply Manag 25(2):185–196.
Paper not yet in RePEc: Add citation now
- Gelsomino LUCA, Mangiaracina R, Perego A, Tumino A (2016) Supply chain finance: modelling a dynamic discounting programme. J Adv Manag Sci 4(4):283–291.
Paper not yet in RePEc: Add citation now
- Giannakis M, Louis M (2011) A multi-agent based framework for supply chain risk management. J Purch Supply Manag 17(1):23–31.
Paper not yet in RePEc: Add citation now
Gibbert M, Ruigrok W, Wicki B (2008) What passes as a rigorous case study? Strateg Manag J 29(13):1465–1474.
- Gomm ML (2010) Supply chain finance: applying finance theory to supply chain management to enhance finance in supply chains. Int J Logistics Res Appl 13(2):133–142. https://doi.org/10.1080/13675560903555167 .
Paper not yet in RePEc: Add citation now
- Guida M, Caniato F, Moretto A, Ronchi S (2023) The role of artificial intelligence in the procurement process: State of the art and research agenda. J Purch Supply Manag 29(2):100823.
Paper not yet in RePEc: Add citation now
- Guida M, Moretto AM, Caniato FFA (2021) How to select a supply chain finance solution? J Purch Supply Manag 27(4):100701.
Paper not yet in RePEc: Add citation now
Gunasekaran A, Ngai EW (2004) Information systems in supply chain integration and management. Eur J Oper Res 159(2):269–295.
- Handfield R, Jeong S, Choi T (2019) Emerging procurement technology: data analytics and cognitive analytics. Int J Phys Distrib Logist Manag 49(10):972–1002. https://doi.org/10.1108/IJPDLM-11-2017-0348 .
Paper not yet in RePEc: Add citation now
Hazen BT, Boone CA, Ezell JD, Jones-Farmer LA (2014) Data quality for data science, predictive analytics, and big data in supply chain management: an introduction to the problem and suggestions for research and applications. Int J Prod Econ 154:72–80.
- Hung JL, He W, Shen J (2020) Big data analytics for supply chain relationship in banking. Ind Mark Manag 86:144–153.
Paper not yet in RePEc: Add citation now
- IEEE Corporate Advisory Group (2017) IEEE guide for terms and concepts in intelligent process automation. IEEE, New York City.
Paper not yet in RePEc: Add citation now
- Ivanov D (2021) Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic. IEEE Trans Eng Manag.
Paper not yet in RePEc: Add citation now
- Jia F, Blome C, Sun H, Yang Y, Zhi B (2020a) Towards an integrated conceptual framework of supply chain finance: An information processing perspective. Int J Prod Econ 219:18–30.
Paper not yet in RePEc: Add citation now
- Jia F, Zhang T, Chen L (2020b) Sustainable supply chain finance: towards a research agenda. J Clean Prod 243:118680.
Paper not yet in RePEc: Add citation now
- Kache F, Seuring S (2017) Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. Int J Oper Prod Manag 37(1):10–36.
Paper not yet in RePEc: Add citation now
- Kamble SS, Gunasekaran A (2020) Big data-driven supply chain performance measurement system: a review and framework for implementation. Int J Prod Res 58(1):65–86. https://doi.org/10.1080/00207543.2019.1630770 .
Paper not yet in RePEc: Add citation now
- Karttunen E, Lintukangas K, Hallikas J (2023) Digital transformation of the purchasing and supply management process. Int J Phys Distrib Logist Manag 53(5/6):685–706.
Paper not yet in RePEc: Add citation now
- Khashman A (2011) Credit risk evaluation using neural networks: Emotional versus conventional models. Appl Soft Comput 11(8):5477–5484.
Paper not yet in RePEc: Add citation now
Klapper L (2006) The role of factoring for financing small and medium enterprises. J Bank Fin 30(11):3111–3130.
- Kumar Dadsena K, Pant P (2023) Analyzing the barriers in supply chain digitization: sustainable development goals perspective. Oper Manag Res 16(4):1684–1697.
Paper not yet in RePEc: Add citation now
- Lamoureux JF, Evans TA (2011) Supply chain finance: a new means to support the competitiveness and resilience of global value chains. Available at SSRN 2179944.
Paper not yet in RePEc: Add citation now
- Li R (2018) E-commerce supply chain internet financing research. Rural Financ Res 1(006):30–34.
Paper not yet in RePEc: Add citation now
- Li Y, Jiang W, Yang L, Wu T (2018) On neural networks and learning systems for business computing. Neurocomputing 275:1150–1159.
Paper not yet in RePEc: Add citation now
- Liddy ED (2001) Natural language processing.
Paper not yet in RePEc: Add citation now
- Liebl J, Hartmann E, Feisel E (2016) Reverse factoring in the supply chain: objectives, antecedents and implementation barriers. Int J Phys Distrib Logist Manage 46(4).
Paper not yet in RePEc: Add citation now
- Lorentz H, Aminoff A, Kaipia R, Pihlajamaa M, Ehtamo J, Tanskanen K (2020) Acquisition of supply market intelligence – an information processing perspective. J Purch Supply Manag. https://doi.org/10.1016/j.pursup.2020.100649 .
Paper not yet in RePEc: Add citation now
- Lu J, Wu D, Mao M, Wang W, Zhang G (2015) Recommender system application developments: a survey. Decis Support Syst 74:12–32. https://doi.org/10.1016/j.dss.2015.03.008 .
Paper not yet in RePEc: Add citation now
- Mantere S, Ketokivi M (2013) Reasoning in organization science. AMR 38(1):70–89.
Paper not yet in RePEc: Add citation now
- McKinsey (2015) Supply-chain finance: The emergence of a new competitive landscape. McKinsey on Payments 8(22):10–16.
Paper not yet in RePEc: Add citation now
- Min H (2010) Artificial intelligence in supply chain management: theory and applications. Int J Log Res Appl 13(1):13–39.
Paper not yet in RePEc: Add citation now
- Mogaji E, Nguyen NP (2022) Managers’ understanding of artificial intelligence in relation to marketing financial services: insights from a cross-country study. Int J Bank Mark 40(6):1272–1298.
Paper not yet in RePEc: Add citation now
- More D, Basu P (2013) Challenges of supply chain finance: A detailed study and a hierarchical model based on the experiences of an Indian firm. Bus Process Manag J 19(4):624–647.
Paper not yet in RePEc: Add citation now
- Moretto A, Caniato F (2021) Can Supply Chain Finance help mitigate the financial disruption brought by Covid-19? J Purch Supply Manag 27(4):100713.
Paper not yet in RePEc: Add citation now
- Moretto A, Grassi L, Caniato F, Giorgino M, Ronchi S (2019) Supply chain finance: From traditional to supply chain credit rating. J Purch Supply Manag 25(2):197–217.
Paper not yet in RePEc: Add citation now
- Nguyen T, Li ZHOU, Spiegler V, Ieromonachou P, Lin Y (2018) Big data analytics in supply chain management: a state-of-the-art literature review. Comput Operat Res 98:254–264. https://doi.org/10.1016/j.cor.2017.07.004 .
Paper not yet in RePEc: Add citation now
- O’Connor C, Joffe H (2020) Intercoder reliability in qualitative research: debates and practical guidelines. Int J Qual Methods 19:1–13.
Paper not yet in RePEc: Add citation now
Olan F, Liu S, Suklan J, Jayawickrama U, Arakpogun EO (2022) The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry. Int J Prod Res 60(14):4418–4433.
- Osservatorio Supply Chain Finance (2020) Supply Chain Finance: level up!.
Paper not yet in RePEc: Add citation now
- Pfohl HC, Gomm M (2009) Supply chain finance: optimizing financial flows in supply chains. Logist Res 1:149–161. https://doi.org/10.1007/s12159-009-0020-y .
Paper not yet in RePEc: Add citation now
Priore P, Ponte B, Rosillo R, de la Fuente D (2019) Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments. Int J Prod Res 57(11):3663–3677.
- Rana J, Daultani Y (2023) Mapping the role and impact of artificial intelligence and machine learning applications in supply chain digital transformation: A bibliometric analysis. Oper Manag Res 16(4):1641–1666.
Paper not yet in RePEc: Add citation now
- Rogers EM (2003) Diffusion of innovations. Free Press, New York.
Paper not yet in RePEc: Add citation now
- Ronchini A, Moretto A, Caniato F (2021) A decision framework for inventory-and equipment-based supply chain finance solutions. J Purch Supply Manag 27(4):100712.
Paper not yet in RePEc: Add citation now
- Saberi S, Kouhizadeh M, Sarkis J (2019) Blockchains and the supply chain: Findings from a broad study of practitioners. IEEE Eng Manag Rev 47(3):95–103.
Paper not yet in RePEc: Add citation now
- Schoenherr T, Speier-Pero C (2015) Data science, predictive analytics, and big data in supply chain management: Current state and future potential. J Bus Logist 36(1):120–132.
Paper not yet in RePEc: Add citation now
- Schreier M (2018) Sampling and generalization. In: The SAGE handbook of qualitative data collection. SAGE Publications.
Paper not yet in RePEc: Add citation now
- Seifert D (2010) Collaborative Working Capital Management in Supply Networks. Retrieved August 2013, 31, from École Polytechnique Fédérale De Lausanne: http://biblion.epfl.ch/EPFL/theses/2010/4617/4617_abs.pdf .
Paper not yet in RePEc: Add citation now
- Shawar BA, Atwell E (2007) Chatbots: are they really useful? J Lang Technol Comput Linguist 22(1):29–49.
Paper not yet in RePEc: Add citation now
- Shore B, Venkatachalam AR (2003) Evaluating the information sharing capabilities of supply chain partners: a fuzzy logic model. Int J Phys Distrib Logist Manag 33(9):804–824. https://doi.org/10.1108/09600030310503343 .
Paper not yet in RePEc: Add citation now
- Singh N, Lai KH, Vejvar M, Cheng TC (2019) Big data technology: challenges, prospects, and realities. IEEE Eng Manag Rev 47(1):58–66.
Paper not yet in RePEc: Add citation now
- Singh NP, Singh S (2019) Buianalytics into supply chain finance: Thelding supply chain risk resilience: role of big data analytics in supply chain disruption mitigation. Benchmarking 26(7):2318–2342.
Paper not yet in RePEc: Add citation now
- Song H, Li M, Yu K (2021) Big data analytics in digital platforms: how do financial service providers customise supply chain finance? Int J Oper Prod Man 41(4):410–435.
Paper not yet in RePEc: Add citation now
- Syed M, Nelson SC (2015) Guidelines for establishing reliability when coding narrative data. Emerg Adulthood 3(6):375–387.
Paper not yet in RePEc: Add citation now
- Toorajipour R, Sohrabpour V, Nazarpour A, Oghazi P, Fischl M (2021) Artificial intelligence in supply chain management: A systematic literature review. J Bus Res 122:502–517.
Paper not yet in RePEc: Add citation now
- Trawnih A, Al-Masaeed S, Alsoud M, Alkufahy A (2022) Understanding artificial intelligence experience: A customer perspective. Int J Data Netw Sci 6(4):1471–1484.
Paper not yet in RePEc: Add citation now
- United Nations - Economic Commission for Europe United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT) (2018) Business requirements specification (BRS) - Purchase order financing.
Paper not yet in RePEc: Add citation now
Van der Vliet K, Reindorp MJ, Fransoo JC (2015) The price of reverse factoring: Financing rates vs. payment delays. Eur J Oper Res 242(3):842–853.
- van Hoek R, Larsen JG, Lacity M (2022) Robotic process automation in Maersk procurement–applicability of action principles and research opportunities. Int J Phys Distrib Logist Manag 52(3):285–298.
Paper not yet in RePEc: Add citation now
- Verma S, Sharma R, Deb S, Maitra D (2021) Artificial intelligence in marketing: Systematic review and future research direction. Int J Inf Manag Data Insights 1(1):100002.
Paper not yet in RePEc: Add citation now
- Voss C, Tsikriktsis N, Frohlich M (2002) Case research in operations management. Int J Oper Prod Manag 22(2):195–219.
Paper not yet in RePEc: Add citation now
- Wandfluh M, Hofmann E, Schoensleben P (2016) Financing buyer–supplier dyads: an empirical analysis on financial collaboration in the supply chain. Int J Log Res Appl 19(3):200–217.
Paper not yet in RePEc: Add citation now
- Wang L, Yan J, Chen X, Xu Q (2021) Do network capabilities improve corporate financial performance? Evidence from financial supply chains. Int J Oper Prod Manag 41(4):336–358.
Paper not yet in RePEc: Add citation now
- Wu WY, Sukoco BM, Li CY, Chen SH (2009) An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Syst Appl 36(2):2327–2337.
Paper not yet in RePEc: Add citation now
- Wuttke DA, Blome C, Foerstl K, Henke M (2013b) Managing the innovation adoption of supply chain finance - Empirical evidence from six European case studies. J Bus Logist 34(2):148–166.
Paper not yet in RePEc: Add citation now
- Wuttke DA, Blome C, Henke M (2013a) Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management. Int J Prod Econ 145(2):773–789.
Paper not yet in RePEc: Add citation now
- Yarramalli SS, Manasa Ponnam RS, Koteswara Rao GR, Fathimabi SK Madasu PD (2020) Digital procurement on systems applications and products (SAP) cloud solutions. 2nd International Conference on Inventive Research in Computing Applications.
Paper not yet in RePEc: Add citation now
- Yin RK (2018) Case study research and applications, Vol. 6. Sage, Thousand Oaks, CA.
Paper not yet in RePEc: Add citation now
Yoo SH, Choi TY, Kim D (2021) Integrating sourcing and financing strategies in multi-tier supply chain management. Int J Prod Econ 234:108039.
- Zaks I, Lapouchnian A (2018) Supply Chain Finance and Artificial Intelligence-a game changing relationship? Receivables Finance Technology 32–37.
Paper not yet in RePEc: Add citation now
- Zhang M, Huang Q, Zhao X, Ma L (2021) The impact of information integration on purchase order finance and new product launch: a case study. Int J Oper Prod Manag 41(4):359–382.
Paper not yet in RePEc: Add citation now
- Zhou H, Sun G, Fu S, Fan X, Jiang W, Hu S, Li L (2020) A distributed approach of big data mining for financial fraud detection in a supply chain. Comput Mater Con 64(2):1091–1105.
Paper not yet in RePEc: Add citation now
Zhu Y, Xie C, Sun BW, Yan XG (2016) Predicting China’s SME credit risk in supply chain financing by logistic regression, artificial neural network and hybrid models. Sustainability 8(5):433.
- Zhu Y, Xie C, Wang GJ, Yan XG (2017) Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Comput Appl 28(1):41–50.
Paper not yet in RePEc: Add citation now
Zhu Y, Zhou L, Xie C, Wang GJ, Nguyen TV (2019) Forecasting SMEs’ credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. Int J Prod Econ 211:22–33.