Purpose – The dissertation aims at bridging a relevant gap emerged from the literature: the lack of consistent studies at the interlinking among innovative technologies and SCF domains. Thus, the study purpose is: shedding light on how innovative technologies can realise the requirements for an evolving SCF, overcoming its current impediments, and on how they can be able to address the risks and their mitigation procedures affecting SCF solutions. Big data analytics and Artificial Intelligence, Application Programming Interface, Blockchain and Internet of Things emerged as the more prominent paradigms to investigate. Design, methodology and approach – The literature review led to the design of the research framework. In line with the explorative nature of this research, a multiple case studies methodology has been used with a heterogeneous sample of 9 case studies. These have been investigated through direct interviews, integrated with secondary data sources. Findings - The thesis provides two outputs: (1) a comprehensive analysis on alternative approaches technologies can offer to realise requirements (2) a clear prospect, deployed on different object and trigger of financing, of how these technologies, involving their key features, allow to reach either an improved or better assessed risk and smoothed tough mitigation procedures. Theoretical and managerial implications - This study provides a theory-building contribution on aforementioned technologies with two guidance representations highlighting not only which but also the main technical aspects able to address both limitations and risks of SCF domain in a different manner. On the managerial side, these represent takeaways without steering into the “hype” of these paradigms and falling into the “panacea” phenomenon. Limits and Future research - Future research should re-analyse these technologies once get to a wider scale status implementation, to confirm, reinforce or deny the findings. Further evaluation should explore if the not addressed risks did not offset the risks mitigated. Lastly due to the explorative nature of this study, future researchers should go on with the following step of theory testing.
Scopo - La dissertazione mira a colmare una rilevante lacuna emersa dalla letteratura: la mancanza di studi riguardanti l’interconnessione tra tecnologie innovative e SCF. Pertanto, lo scopo dello studio è: fare luce su come le tecnologie innovative possano realizzare i requisiti per un SCF in evoluzione, superando gli attuali impedimenti, e su come possano essere in grado di affrontare i rischi e le relative procedure di mitigazione che influenzano le soluzioni SCF. Big Data Analytics, Artificial Intelligence, Application Programming Interface, Blockchain e Internet of Things sono emersi come i paradigmi più importanti da investigare. Design, metodologia e approccio - La revisione della letteratura ha portato alla progettazione del modello. In linea con la natura esplorativa di questa ricerca, è stata utilizzata una metodologia basata su diversi studi di caso con un campione eterogeneo di 9 aziende. Queste sono state studiate attraverso interviste dirette, integrate con fonti secondarie. Risultati - La tesi fornisce due risultati: (1) un'analisi completa sugli approcci alternativi che le tecnologie possono offrire per realizzare i requisiti (2) una prospettiva, calata su diversi oggetti del finanziamento e fattori innescanti lo stesso, su come queste tecnologie, e le loro caratteristiche chiave, consentano di raggiungere un ridotto o meglio valutato rischio e per efficientare le procedure di mitigazione. Implicazioni teoriche e manageriali – L’approccio “Theory-building” contribuisce a due rappresentazioni guida che evidenziano quali principali aspetti tecnici sono in grado di affrontare differentemente i limiti e i rischi del SCF. Dal punto di vista manageriale, queste portano a non assecondare il "clamore" di questi paradigmi e cadere nel fenomeno "panacea". Limiti e ricerca futura - La ricerca futura dovrebbe rianalizzare queste tecnologie una volta raggiunta un'attuazione a ampia scala, per confermare o smentire i risultati. Un'ulteriore valutazione dovrebbe esaminare se i non affrontati rischi non compensino i rischi mitigati. Infine, per la natura esplorativa di questo studio, i ricercatori dovranno proseguire con l’approccio “Theory testing”.
The rise of innovative technologies for supply chain finance
GERVASIO, CAROLA;FUSARI, ELENA
2017/2018
Abstract
Purpose – The dissertation aims at bridging a relevant gap emerged from the literature: the lack of consistent studies at the interlinking among innovative technologies and SCF domains. Thus, the study purpose is: shedding light on how innovative technologies can realise the requirements for an evolving SCF, overcoming its current impediments, and on how they can be able to address the risks and their mitigation procedures affecting SCF solutions. Big data analytics and Artificial Intelligence, Application Programming Interface, Blockchain and Internet of Things emerged as the more prominent paradigms to investigate. Design, methodology and approach – The literature review led to the design of the research framework. In line with the explorative nature of this research, a multiple case studies methodology has been used with a heterogeneous sample of 9 case studies. These have been investigated through direct interviews, integrated with secondary data sources. Findings - The thesis provides two outputs: (1) a comprehensive analysis on alternative approaches technologies can offer to realise requirements (2) a clear prospect, deployed on different object and trigger of financing, of how these technologies, involving their key features, allow to reach either an improved or better assessed risk and smoothed tough mitigation procedures. Theoretical and managerial implications - This study provides a theory-building contribution on aforementioned technologies with two guidance representations highlighting not only which but also the main technical aspects able to address both limitations and risks of SCF domain in a different manner. On the managerial side, these represent takeaways without steering into the “hype” of these paradigms and falling into the “panacea” phenomenon. Limits and Future research - Future research should re-analyse these technologies once get to a wider scale status implementation, to confirm, reinforce or deny the findings. Further evaluation should explore if the not addressed risks did not offset the risks mitigated. Lastly due to the explorative nature of this study, future researchers should go on with the following step of theory testing.| File | Dimensione | Formato | |
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2018_04_Fusari_Gervasio.pdf
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Descrizione: "Testo della tesi"
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6.68 MB | Adobe PDF | Visualizza/Apri |
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https://hdl.handle.net/10589/139470