Big data is nowadays one of the most interesting technologies which could re-shape the future Supply chain processes and several studies have been carried out around this topic. Although being considered as the process with the highest potential for Big data analytics application, very few studies focused on Supply chain planning. Hence, the research questions investigated in this study have the purpose of creating a complete overview on which the impact of BDA on Supply chain planning will be. The main BD sources for each planning process, the most prominent BDA Models as well as the main practical impact on planning processes performances have been investigated. Finally, to complete the picture, the main factors affecting BDA adoption in firms and supply chains have been explored. To investigate these topics, Delphi methodology has been employed. A three-rounds study has been developed through online questionnaires and a panel of 356 carefully selected experts among practitioners, academicians, and SC solutions providers has been involved. Were collected 27 answers in the first round, 23 in the second and 17 in the third one. The final results demonstrated overall that BDA will play a significant role in SC Planning with the highest impact in short- and mid-term planning decisions thanks to the possibility of processing new BD sources nearly real-time. For long-term, strategic decisions, prescriptive analytics will be the most powerful tool to get valuable insights from Big data which would mainly be unstructured data retrieved from the environment. On the other hand, short-term decisions will be mainly supported by forecasting Big data models relying on internal, structured data. The success of a Big data implementation project highly depends on the internal commitment of the top management as well as on the organizational culture and attitude toward change. Anyway, as the project involves more actors along the supply chain, also the number of resources to be invested increases, and the perceived advantages and benefits BDA would bring become crucial in driving BDA adoption decision.
I Big data sono oggi una delle tecnologie più interessanti per il futuro della Supply chain. Sono stati effettuati diversi studi su questo argomento ma pochissimi si sono concentrati sul processo di pianificazione della Supply chain sebbene venga considerato il processo con il più alto potenziale. Pertanto, questa tesi si pone come obiettivo quello di creare una panoramica completa su quale sarà l'impatto che questa tecnologia avrà sulla pianificazione della Supply chain. Sono state approfondite le principali fonti di Big data per ogni processo di pianificazione, i modelli di analisi più importanti, nonché il principale impatto pratico sulle sui processi di pianificazione. Infine, per completare il quadro, sono stati esplorati i principali fattori che influenzano l’adozione dei Big data nelle aziende e nelle Supply chain. Per sviluppare tali argomenti, è stata utilizzata la metodologia Delphi. È stato condotto uno studio in tre fasi attraverso questionari online coinvolgendo un gruppo di 356 esperti accuratamente selezionati tra professionisti, accademici e consulenti di soluzioni informatiche per la SC. Sono state raccolte 27 risposte nel primo round, 23 nel secondo e 17 nel terzo. I risultati finali hanno dimostrato nel complesso che l’introduzione dei Big data avrà un ruolo significativo nella pianificazione della supply chain con il massimo impatto nelle decisioni di pianificazione a breve e medio termine grazie alla possibilità di elaborare nuove fonti dati quasi in tempo reale. Inoltre, l'analisi prescrittiva sarà lo strumento più potente per ottenere preziose informazioni dai Big data per le decisioni strategiche a lungo termine. In questo caso i dati raccolti saranno principalmente dati non strutturati ed esterni all’azienda. D'altra parte, le decisioni più operative, legate al breve termine saranno principalmente supportate da modelli previsionali basati su dati interni e strutturati. Infine, il successo di questa nuova tecnologia dipende fortemente dal coinvolgimento e dalla partecipazione dei vertici aziendali, nonché dalla cultura organizzativa. In ogni caso, all’aumentare del numero di attori coinvolto, anche il numero di risorse da investire aumenta, e la percezione dei benefici e dei vantaggi competitivi offerti dall’adozione dei Big data diventano decisivi nel guidare la decisione di migrare a questa nuova tecnologia.
Big data analytics in supply chain planning : a Delphi study
FABBRI, MARGHERITA
2018/2019
Abstract
Big data is nowadays one of the most interesting technologies which could re-shape the future Supply chain processes and several studies have been carried out around this topic. Although being considered as the process with the highest potential for Big data analytics application, very few studies focused on Supply chain planning. Hence, the research questions investigated in this study have the purpose of creating a complete overview on which the impact of BDA on Supply chain planning will be. The main BD sources for each planning process, the most prominent BDA Models as well as the main practical impact on planning processes performances have been investigated. Finally, to complete the picture, the main factors affecting BDA adoption in firms and supply chains have been explored. To investigate these topics, Delphi methodology has been employed. A three-rounds study has been developed through online questionnaires and a panel of 356 carefully selected experts among practitioners, academicians, and SC solutions providers has been involved. Were collected 27 answers in the first round, 23 in the second and 17 in the third one. The final results demonstrated overall that BDA will play a significant role in SC Planning with the highest impact in short- and mid-term planning decisions thanks to the possibility of processing new BD sources nearly real-time. For long-term, strategic decisions, prescriptive analytics will be the most powerful tool to get valuable insights from Big data which would mainly be unstructured data retrieved from the environment. On the other hand, short-term decisions will be mainly supported by forecasting Big data models relying on internal, structured data. The success of a Big data implementation project highly depends on the internal commitment of the top management as well as on the organizational culture and attitude toward change. Anyway, as the project involves more actors along the supply chain, also the number of resources to be invested increases, and the perceived advantages and benefits BDA would bring become crucial in driving BDA adoption decision.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/154364