Firms increasingly rely on external sources of information to innovate, but they need the right tools to manage the incredible stream of data generated. Digital Technologies can help companies in this activity, but the existing literature in the innovation management field lacks structured framework on this topic. Through a Systematic Literature Review, this work intends to identify which are the families of digital technologies supporting the innovation process, and which are the drivers ensuing from and required for their use and implementation in the innovation activity of companies. The review leverages on Scopus and Web of Science platforms to get scientific articles from different fields, contributing to answer the following research question: “How and why do digital technologies help companies to manage their innovation process?”. From the Systematic Literature Review, 87 papers have been classified, identifying six families of digital technologies: (1) Big Data, (2) Internet of Things, (3) Knowledge Management Systems, (4) Systems of Rapid Prototyping, (5) Cloud Computing and (6) Product Lifecycle Management Systems. The proposed framework is a matrix that is built along two major dimensions: (i) the rows are the families of digital technologies and (ii) the columns are the phases of the innovation process, i.e. idea generation, product development, and commercialization. Therefore, the connections between the above dimensions are the drivers ensuing from and required for the use and implementation of the digital technology families in the innovation process of companies. Results are synthetized according to three different approaches: through the single digital technology family analysis, its use and implementation in the specific innovation phase and, finally, through a transversal approach, which captures the main benefits and barriers of the digital technology families as a whole. In conclusion, the present Systematic Literature Review defines a research agenda for future avenues of research in the innovation management field, because it opens new research streams.
Oggigiorno le aziende fanno sempre più affidamento su fonti esterne di informazioni per implementare i processi di innovazione, ma esse necessitano degli strumenti adeguati per gestire il crescente flusso di dati e le Tecnologie Digitali possono aiutare le aziende in questa attività. Purtroppo la letteratura nel campo dell’innovation management è carente di analisi strutturate su questo tema. Con l’utilizzo di un’Analisi Sistematica della Letteratura, questa tesi intende identificare quali siano le famiglie di tecnologie digitali che aiutano il processo di innovazione, quali siano i driver che sono richiesti per il loro utilizzo e implementazione, e quali fattori siano abilitati dall’utilizzo di queste tecnologie. La presente analisi è stata condotta sui database Scopus e Web of Science, per raccogliere da diversi campi di studio gli articoli scientifici utili a rispondere alla seguente domanda di ricerca: “Come e perché le tecnologie digitali aiutano le aziende nella gestione del processo di innovazione?”. Nella review sono stati analizzati 87 articoli, che sono stati classificati, e sono state classificate sei famiglie di tecnologie: (1) Big Data, (2) Internet of Things, (3) Knowledge Management Systems, (4) Systems of Rapid Prototyping, (5) Cloud Computing e (9) Product Lifecycle Management Systems. Il lavoro di analisi sistematica ha portato alla definizione di una matrice a due dimensioni: (i) sulle righe sono rappresentate le famiglie delle tecnologie digitali mentre (ii) sulle colonne le principali fasi del processo di innovazione, ovvero la generazione dell’idea, lo sviluppo del prodotto e la commercializzazione. Le connessioni tra le dimensioni sopracitate sono i fattori abilitati dall’utilizzo delle tecnologie digitali nelle fasi del processo di innovazione. I risultati sono sintetizzati seguendo tre differenti approcci: attraverso l’analisi delle singole famiglie di tecnologie digitali, attraverso il loro utilizzo e implementazione nelle specifiche fasi del processo di innovazione e, infine, attraverso un approccio trasversale, che vuole far emergere i principali benefici e limiti delle famiglie di tecnologie digitali nel loro complesso. In conclusione, la presente Analisi Sistematica della Letteratura ha portato a definire un’agenda per futuri sviluppi di ricerca nel campo dell’innovation management, avendo aperto la strada a nuovi filoni di studi scientifici.
The role of digital technology in the innovation process of companies : a systematic literature review in the innovation management field
MAZZA, EUGENIO MARIA
2015/2016
Abstract
Firms increasingly rely on external sources of information to innovate, but they need the right tools to manage the incredible stream of data generated. Digital Technologies can help companies in this activity, but the existing literature in the innovation management field lacks structured framework on this topic. Through a Systematic Literature Review, this work intends to identify which are the families of digital technologies supporting the innovation process, and which are the drivers ensuing from and required for their use and implementation in the innovation activity of companies. The review leverages on Scopus and Web of Science platforms to get scientific articles from different fields, contributing to answer the following research question: “How and why do digital technologies help companies to manage their innovation process?”. From the Systematic Literature Review, 87 papers have been classified, identifying six families of digital technologies: (1) Big Data, (2) Internet of Things, (3) Knowledge Management Systems, (4) Systems of Rapid Prototyping, (5) Cloud Computing and (6) Product Lifecycle Management Systems. The proposed framework is a matrix that is built along two major dimensions: (i) the rows are the families of digital technologies and (ii) the columns are the phases of the innovation process, i.e. idea generation, product development, and commercialization. Therefore, the connections between the above dimensions are the drivers ensuing from and required for the use and implementation of the digital technology families in the innovation process of companies. Results are synthetized according to three different approaches: through the single digital technology family analysis, its use and implementation in the specific innovation phase and, finally, through a transversal approach, which captures the main benefits and barriers of the digital technology families as a whole. In conclusion, the present Systematic Literature Review defines a research agenda for future avenues of research in the innovation management field, because it opens new research streams.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/133780