The application of Big Data in the supply chain has been a popular topic, and in recent years, more and more scholars have been conducting in-depth research on the impact of Big Data on supply chain planning. Despite the promotion of the concept of Smart, Connected Products (SCPs), there is still a lack of research on the impact of Big Data from these products, which provide a single data source, on supply chain planning, especially in China where research in this area is still in its early stages. Additionally, although many scholars are interested in studying the impact of Big Data on sustainable supply chains, research in this area is also lacking in China. Therefore, this study attempts to address these gaps by answering the questions of how Big Data from SCPs contribute to multiple supply chain planning processes in China and how Big Data from Smart, Connected Products facilitate supply chain sustainability in China. To achieve these research goals, this study utilizes case studies methodology, which involves conducting semi-structured interviews with management personnel from 7 Chinese companies that produce or develop smart home devices . The study aims to comprehensively investigate how Big Data from smart home devices is utilized to enhance supply chain planning and collaboration with suppliers and customers in China. Additionally, the study seeks to assess the impact of Big Data in smart home devices on supply chain sustainability in China, specifically in relation to the environment, and involving suppliers and customers. This research delves into the influence of Big Data collected from smart connected products on the various aspects of supply chain planning in China, including procurement, production, distribution, sales, aftermarket, and information sharing. Additionally, the study sheds light on the effects of Big Data on supply chain sustainability, specifically in terms of energy consumption, spare parts recycling, resource usage, and the adoption of eco-friendly materials. In addition to answering the primary research questions, the study also uncovers additional insights into the impact of Big Data on product development, customer service, marketing, and other areas. This study offers four main contributions to the existing literature on the impact of Big Data on supply chain planning. Firstly, it examines the effects of Big Data on each step of supply chain planning, providing valuable insights for researchers and practitioners. Secondly, it explores the impact of Big Data on cross-organizational information sharing in supply chain planning, filling a gap in previous studies. Thirdly, it investigates the impact of Big Data on sustainable development in the smart home industry, providing a new research perspective in this area. Finally, the study identifies potential new research directions by highlighting the broader impacts of Big Data on firms beyond the scope of the research questions.
L'applicazione del Big Data nella supply chain è stato un argomento popolare, e negli ultimi anni, sempre più studiosi hanno condotto ricerche approfondite sull'impatto del Big Data sulla pianificazione della supply chain. Nonostante la promozione del concetto di Prodotti Intelligenti e Connessi, manca ancora di ricerche sull'impatto del Big Data proveniente da questi prodotti, che forniscono una singola fonte di dati, sulla pianificazione della supply chain, specialmente in Cina dove la ricerca in questo ambito è ancora in fase iniziale. Inoltre, anche se molti studiosi sono interessati a studiare l'impatto del Big Data sulle supply chain sostenibili, anche in Cina mancano di ricerche in questo ambito. Pertanto, questo studio cerca di colmare queste lacune rispondendo alle domande su come il Big Data dei Prodotti Intelligenti e Connessi contribuisca a molteplici processi di pianificazione della supply chain in Cina e su come il Big Data dei Prodotti Intelligenti e Connessi faciliti la sostenibilità della supply chain in Cina. Per raggiungere questi obiettivi di ricerca, questo studio utilizza la metodologia di studio dei casi, che prevede la conduzione di interviste semistrutturate con il personale di gestione di 7 aziende cinesi che producono o sviluppano dispositivi per la smart home. Lo studio mira ad indagare in modo completo come il Big Data dei dispositivi per la smart home viene utilizzato per migliorare la pianificazione della supply chain e la collaborazione con fornitori e clienti in Cina. Inoltre, lo studio cerca di valutare l'impatto del Big Data dei dispositivi per la smart home sulla sostenibilità della supply chain in Cina, in particolare in relazione all'ambiente e coinvolgendo fornitori e clienti. Questa ricerca approfondisce l'influenza del Big Data raccolto dai prodotti intelligenti e connessi sui vari aspetti della pianificazione della supply chain in Cina, compresi la procurement, la produzione, la distribuzione, le vendite, il mercato secondario e la condivisione delle informazioni. Inoltre, lo studio mette in luce gli effetti del Big Data sulla sostenibilità della supply chain, in particolare per quanto riguarda il consumo di energia, il riciclo dei ricambi, l'utilizzo delle risorse e l'adozione di materiali ecologici. Oltre a rispondere alle domande di ricerca principali, lo studio scopre ulteriori informazioni sull'impatto del Big Data sullo sviluppo del prodotto, il servizio clienti, il marketing e altre aree. Questo studio offre quattro principali contributi alla letteratura esistente sull'impatto del big data sulla pianificazione della supply chain (SCP). In primo luogo, esamina gli effetti del big data su ogni fase della SCP, fornendo preziose intuizioni per ricercatori e professionisti del settore. In secondo luogo, esplora l'impatto del big data sulla condivisione di informazioni tra organizzazioni nella SCP, colmando una lacuna negli studi precedenti. In terzo luogo, investiga l'impatto del big data sullo sviluppo sostenibile nell'industria delle smart home, fornendo una nuova prospettiva di ricerca in questo campo. Infine, lo studio individua nuove possibili direzioni di ricerca evidenziando gli impatti più ampi del big data sulle aziende al di fuori dell'ambito delle domande di ricerca.
The impact of Big Data from Smart, Connected Products on supply chain planning and sustainability : evidence from the Chinese smart home industry
Ouyang, Danling;Peng, Chunyan
2021/2022
Abstract
The application of Big Data in the supply chain has been a popular topic, and in recent years, more and more scholars have been conducting in-depth research on the impact of Big Data on supply chain planning. Despite the promotion of the concept of Smart, Connected Products (SCPs), there is still a lack of research on the impact of Big Data from these products, which provide a single data source, on supply chain planning, especially in China where research in this area is still in its early stages. Additionally, although many scholars are interested in studying the impact of Big Data on sustainable supply chains, research in this area is also lacking in China. Therefore, this study attempts to address these gaps by answering the questions of how Big Data from SCPs contribute to multiple supply chain planning processes in China and how Big Data from Smart, Connected Products facilitate supply chain sustainability in China. To achieve these research goals, this study utilizes case studies methodology, which involves conducting semi-structured interviews with management personnel from 7 Chinese companies that produce or develop smart home devices . The study aims to comprehensively investigate how Big Data from smart home devices is utilized to enhance supply chain planning and collaboration with suppliers and customers in China. Additionally, the study seeks to assess the impact of Big Data in smart home devices on supply chain sustainability in China, specifically in relation to the environment, and involving suppliers and customers. This research delves into the influence of Big Data collected from smart connected products on the various aspects of supply chain planning in China, including procurement, production, distribution, sales, aftermarket, and information sharing. Additionally, the study sheds light on the effects of Big Data on supply chain sustainability, specifically in terms of energy consumption, spare parts recycling, resource usage, and the adoption of eco-friendly materials. In addition to answering the primary research questions, the study also uncovers additional insights into the impact of Big Data on product development, customer service, marketing, and other areas. This study offers four main contributions to the existing literature on the impact of Big Data on supply chain planning. Firstly, it examines the effects of Big Data on each step of supply chain planning, providing valuable insights for researchers and practitioners. Secondly, it explores the impact of Big Data on cross-organizational information sharing in supply chain planning, filling a gap in previous studies. Thirdly, it investigates the impact of Big Data on sustainable development in the smart home industry, providing a new research perspective in this area. Finally, the study identifies potential new research directions by highlighting the broader impacts of Big Data on firms beyond the scope of the research questions.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/211870